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    {
        "title": "2D/3D Pose Estimation and Action Recognition Using Multitask Deep Learning",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Luvizon_2D3D_Pose_Estimation_CVPR_2018_paper.html",
        "author": "Diogo C. Luvizon, David Picard, Hedi Tabia",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Luvizon_2D3D_Pose_Estimation_CVPR_2018_paper.pdf",
        "aff": "Sorbonne Universit\u00e9, CNRS, Laboratoire d\u2019Informatique de Paris 6, LIP6, F-75005 Paris, France; ETIS UMR 8051, Paris Seine University, ENSEA, CNRS, F-95000, Cergy, France",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1802.09232",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "3D Human Pose Estimation in the Wild by Adversarial Learning",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Yang_3D_Human_Pose_CVPR_2018_paper.html",
        "author": "Wei Yang, Wanli Ouyang, Xiaolong Wang, Jimmy Ren, Hongsheng Li, Xiaogang Wang",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Yang_3D_Human_Pose_CVPR_2018_paper.pdf",
        "aff": "CUHK-SenseTime Joint Lab, The Chinese University of Hong Kong; The Robotics Institute, Carnegie Mellon University; School of Electrical and Information Engineering, The University of Sydney; SenseTime Research",
        "project": "",
        "github": "",
        "arxiv": "1803.09722v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "3D Human Sensing, Action and Emotion Recognition in Robot Assisted Therapy of Children With Autism",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Marinoiu_3D_Human_Sensing_CVPR_2018_paper.html",
        "author": "Elisabeta Marinoiu, Mihai Zanfir, Vlad Olaru, Cristian Sminchisescu",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Marinoiu_3D_Human_Sensing_CVPR_2018_paper.pdf",
        "aff": "Department of Mathematics, Faculty of Engineering, Lund University; Institute of Mathematics of the Romanian Academy",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "3D Object Detection With Latent Support Surfaces",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Ren_3D_Object_Detection_CVPR_2018_paper.html",
        "author": "Zhile Ren, Erik B. Sudderth",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Ren_3D_Object_Detection_CVPR_2018_paper.pdf",
        "aff": "University of California, Irvine; Brown University",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "3D Pose Estimation and 3D Model Retrieval for Objects in the Wild",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Grabner_3D_Pose_Estimation_CVPR_2018_paper.html",
        "author": "Alexander Grabner, Peter M. Roth, Vincent Lepetit",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Grabner_3D_Pose_Estimation_CVPR_2018_paper.pdf",
        "aff": "Laboratoire Bordelais de Recherche en Informatique, University of Bordeaux, France; Institute of Computer Graphics and Vision, Graz University of Technology, Austria",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1803.11493",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "3D Registration of Curves and Surfaces Using Local Differential Information",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Raposo_3D_Registration_of_CVPR_2018_paper.html",
        "author": "Carolina Raposo, Jo\u00e3o P. Barreto",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Raposo_3D_Registration_of_CVPR_2018_paper.pdf",
        "aff": "Institute of Systems and Robotics, University of Coimbra, Portugal",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1804.00637",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "3D Semantic Segmentation With Submanifold Sparse Convolutional Networks",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Graham_3D_Semantic_Segmentation_CVPR_2018_paper.html",
        "author": "Benjamin Graham, Martin Engelcke, Laurens van der Maaten",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Graham_3D_Semantic_Segmentation_CVPR_2018_paper.pdf",
        "aff": "University of Oxford; Facebook AI Research",
        "project": "",
        "github": "",
        "arxiv": "1711.10275v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "3D Semantic Trajectory Reconstruction From 3D Pixel Continuum",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Yoon_3D_Semantic_Trajectory_CVPR_2018_paper.html",
        "author": "Jae Shin Yoon, Ziwei Li, Hyun Soo Park",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Yoon_3D_Semantic_Trajectory_CVPR_2018_paper.pdf",
        "aff": "University of Minnesota",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1712.01359",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "3D-RCNN: Instance-Level 3D Object Reconstruction via Render-and-Compare",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Kundu_3D-RCNN_Instance-Level_3D_CVPR_2018_paper.html",
        "author": "Abhijit Kundu, Yin Li, James M. Rehg",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Kundu_3D-RCNN_Instance-Level_3D_CVPR_2018_paper.pdf",
        "aff": "Carnegie Mellon University, This work was conducted while the 2nd author was at Georgia Tech.; Georgia Institute of Technology",
        "project": "http://abhijitkundu.info/projects/3D-RCNN",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "4D Human Body Correspondences From Panoramic Depth Maps",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Li_4D_Human_Body_CVPR_2018_paper.html",
        "author": "Zhong Li, Minye Wu, Wangyiteng Zhou, Jingyi Yu",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Li_4D_Human_Body_CVPR_2018_paper.pdf",
        "aff": "Shanghai Tech University, Shanghai, China; University of Delaware, Newark, DE, USA; University of Delaware, Newark, DE, USA & Shanghai Tech University, Shanghai, China",
        "project": "",
        "github": "",
        "arxiv": "1810.05340v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "4DFAB: A Large Scale 4D Database for Facial Expression Analysis and Biometric Applications",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Cheng_4DFAB_A_Large_CVPR_2018_paper.html",
        "author": "Shiyang Cheng, Irene Kotsia, Maja Pantic, Stefanos Zafeiriou",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Cheng_4DFAB_A_Large_CVPR_2018_paper.pdf",
        "aff": "Imperial College London; Middlesex University London",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "A Bi-Directional Message Passing Model for Salient Object Detection",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Zhang_A_Bi-Directional_Message_CVPR_2018_paper.html",
        "author": "Lu Zhang, Ju Dai, Huchuan Lu, You He, Gang Wang",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Zhang_A_Bi-Directional_Message_CVPR_2018_paper.pdf",
        "aff": "Alibaba AILabs, China; Dalian University of Technology, China; Naval Aviation University, China",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "A Biresolution Spectral Framework for Product Quantization",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Mukherjee_A_Biresolution_Spectral_CVPR_2018_paper.html",
        "author": "Lopamudra Mukherjee, Sathya N. Ravi, Jiming Peng, Vikas Singh",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Mukherjee_A_Biresolution_Spectral_CVPR_2018_paper.pdf",
        "aff": "University of Wisconsin-Madison; University of Wisconsin-Whitewater; University of Houston",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "A Causal And-Or Graph Model for Visibility Fluent Reasoning in Tracking Interacting Objects",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Xu_A_Causal_And-Or_CVPR_2018_paper.html",
        "author": "Yuanlu Xu, Lei Qin, Xiaobai Liu, Jianwen Xie, Song-Chun Zhu",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Xu_A_Causal_And-Or_CVPR_2018_paper.pdf",
        "aff": "Hikvision Research Institute, USA; Dept. Computer Science, San Diego State University; University of California, Los Angeles; Inst. Computing Technology, Chinese Academy of Sciences",
        "project": "",
        "github": "",
        "arxiv": "1709.05437v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "A Certifiably Globally Optimal Solution to the Non-Minimal Relative Pose Problem",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Briales_A_Certifiably_Globally_CVPR_2018_paper.html",
        "author": "Jesus Briales, Laurent Kneip, Javier Gonzalez-Jimenez",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Briales_A_Certifiably_Globally_CVPR_2018_paper.pdf",
        "aff": "MAPIR-UMA Group, University of Malaga, Spain; Mobile Perception Lab, SIST ShanghaiTech",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "A Closer Look at Spatiotemporal Convolutions for Action Recognition",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Tran_A_Closer_Look_CVPR_2018_paper.html",
        "author": "Du Tran, Heng Wang, Lorenzo Torresani, Jamie Ray, Yann LeCun, Manohar Paluri",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Tran_A_Closer_Look_CVPR_2018_paper.pdf",
        "aff": "Facebook Research; Facebook Research, Dartmouth College",
        "project": "",
        "github": "",
        "arxiv": "1711.11248v3",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "A Common Framework for Interactive Texture Transfer",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Men_A_Common_Framework_CVPR_2018_paper.html",
        "author": "Yifang Men, Zhouhui Lian, Yingmin Tang, Jianguo Xiao",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Men_A_Common_Framework_CVPR_2018_paper.pdf",
        "aff": "Institute of Computer Science and Technology, Peking University, China",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "A Constrained Deep Neural Network for Ordinal Regression",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Liu_A_Constrained_Deep_CVPR_2018_paper.html",
        "author": "Yanzhu Liu, Adams Wai Kin Kong, Chi Keong Goh",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Liu_A_Constrained_Deep_CVPR_2018_paper.pdf",
        "aff": "Rolls-Royce Advanced Technology Centre; Nanyang Technological University",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "A Deeper Look at Power Normalizations",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Koniusz_A_Deeper_Look_CVPR_2018_paper.html",
        "author": "Piotr Koniusz, Hongguang Zhang, Fatih Porikli",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Koniusz_A_Deeper_Look_CVPR_2018_paper.pdf",
        "aff": "Australian National University; Data61/CSIRO, Australian National University",
        "project": "",
        "github": "",
        "arxiv": "1806.09183v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "A Face-to-Face Neural Conversation Model",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Chu_A_Face-to-Face_Neural_CVPR_2018_paper.html",
        "author": "Hang Chu, Daiqing Li, Sanja Fidler",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Chu_A_Face-to-Face_Neural_CVPR_2018_paper.pdf",
        "aff": "University of Toronto; University of Toronto, Vector Institute",
        "project": "http://www.cs.toronto.edu/face2face",
        "github": "",
        "arxiv": "1812.01525v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "A Fast Resection-Intersection Method for the Known Rotation Problem",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Zhang_A_Fast_Resection-Intersection_CVPR_2018_paper.html",
        "author": "Qianggong Zhang, Tat-Jun Chin, Huu Minh Le",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Zhang_A_Fast_Resection-Intersection_CVPR_2018_paper.pdf",
        "aff": "The University of Adelaide, Adelaide, SA, Australia",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "A Generative Adversarial Approach for Zero-Shot Learning From Noisy Texts",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Zhu_A_Generative_Adversarial_CVPR_2018_paper.html",
        "author": "Yizhe Zhu, Mohamed Elhoseiny, Bingchen Liu, Xi Peng, Ahmed Elgammal",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Zhu_A_Generative_Adversarial_CVPR_2018_paper.pdf",
        "aff": "Rutgers University, Department of Computer Science; Facebook AI Research",
        "project": "",
        "github": "",
        "arxiv": "1712.01381v3",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "A Hierarchical Generative Model for Eye Image Synthesis and Eye Gaze Estimation",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Wang_A_Hierarchical_Generative_CVPR_2018_paper.html",
        "author": "Kang Wang, Rui Zhao, Qiang Ji",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Wang_A_Hierarchical_Generative_CVPR_2018_paper.pdf",
        "aff": "ECSE, Rensselaer Polytechnic Institute, Troy, NY, USA",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "A High-Quality Denoising Dataset for Smartphone Cameras",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Abdelhamed_A_High-Quality_Denoising_CVPR_2018_paper.html",
        "author": "Abdelrahman Abdelhamed, Stephen Lin, Michael S. Brown",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Abdelhamed_A_High-Quality_Denoising_CVPR_2018_paper.pdf",
        "aff": "Microsoft Research; York University",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "A Hybrid l1-l0 Layer Decomposition Model for Tone Mapping",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Liang_A_Hybrid_l1-l0_CVPR_2018_paper.html",
        "author": "Zhetong Liang, Jun Xu, David Zhang, Zisheng Cao, Lei Zhang",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Liang_A_Hybrid_l1-l0_CVPR_2018_paper.pdf",
        "aff": "DJI Co., Ltd; The Hong Kong Polytechnic University",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "A Low Power, High Throughput, Fully Event-Based Stereo System",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Andreopoulos_A_Low_Power_CVPR_2018_paper.html",
        "author": "Alexander Andreopoulos, Hirak J. Kashyap, Tapan K. Nayak, Arnon Amir, Myron D. Flickner",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Andreopoulos_A_Low_Power_CVPR_2018_paper.pdf",
        "aff": "IBM Research; IBM Research; Work done as an intern at IBM Research - Almaden. Cognitive Anteater Robotics Lab (CARL), University of California, Irvine",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "A Memory Network Approach for Story-Based Temporal Summarization of 360\u00b0 Videos",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Lee_A_Memory_Network_CVPR_2018_paper.html",
        "author": "Sangho Lee, Jinyoung Sung, Youngjae Yu, Gunhee Kim",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Lee_A_Memory_Network_CVPR_2018_paper.pdf",
        "aff": "Seoul National University",
        "project": "http://vision.snu.ac.kr/projects/pfmn",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "A Minimalist Approach to Type-Agnostic Detection of Quadrics in Point Clouds",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Birdal_A_Minimalist_Approach_CVPR_2018_paper.html",
        "author": "Tolga Birdal, Benjamin Busam, Nassir Navab, Slobodan Ilic, Peter Sturm",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Birdal_A_Minimalist_Approach_CVPR_2018_paper.pdf",
        "aff": "Technische Universit \u00a8at M \u00a8unchen, Germany; Framos AG, Munich, Germany; INRIA, France; Technische Universit \u00a8at M \u00a8unchen, Germany; Siemens AG, Munich, Germany; Technische Universit \u00a8at M \u00a8unchen, Germany; Johns Hopkins University, US",
        "project": "",
        "github": "",
        "arxiv": "1803.07191v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "A Network Architecture for Point Cloud Classification via Automatic Depth Images Generation",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Roveri_A_Network_Architecture_CVPR_2018_paper.html",
        "author": "Riccardo Roveri, Lukas Rahmann, Cengiz Oztireli, Markus Gross",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Roveri_A_Network_Architecture_CVPR_2018_paper.pdf",
        "aff": "Disney Research Z\u00fcrich; Department of Computer Science, ETH Z\u00fcrich",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "A Neural Multi-Sequence Alignment TeCHnique (NeuMATCH)",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Dogan_A_Neural_Multi-Sequence_CVPR_2018_paper.html",
        "author": "Pelin Dogan, Boyang Li, Leonid Sigal, Markus Gross",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Dogan_A_Neural_Multi-Sequence_CVPR_2018_paper.pdf",
        "aff": "University of British Columbia; Liulishuo AI Lab; ETH Z\u00fcrich, Disney Research",
        "project": "",
        "github": "",
        "arxiv": "1803.00057v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "A PID Controller Approach for Stochastic Optimization of Deep Networks",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/An_A_PID_Controller_CVPR_2018_paper.html",
        "author": "Wangpeng An, Haoqian Wang, Qingyun Sun, Jun Xu, Qionghai Dai, Lei Zhang",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/An_A_PID_Controller_CVPR_2018_paper.pdf",
        "aff": "Graduate School at Shenzhen, Tsinghua University, Shenzhen, China; Shenzhen Institute of Future Media Technology, Shenzhen, China; Stanford University, CA, USA; Dept. of Computing, The Hong Kong Polytechnic University, Hong Kong, China.",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "A Papier-M\u00e2ch\u00e9 Approach to Learning 3D Surface Generation",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Groueix_A_Papier-Mache_Approach_CVPR_2018_paper.html",
        "author": "Thibault Groueix, Matthew Fisher, Vladimir G. Kim, Bryan C. Russell, Mathieu Aubry",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Groueix_A_Papier-Mache_Approach_CVPR_2018_paper.pdf",
        "aff": "Adobe Research; LIGM (UMR 8049), \u00c9cole des Ponts, UPE",
        "project": "http://imagine.enpc.fr/ groueixt/atlasnet/",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "A Perceptual Measure for Deep Single Image Camera Calibration",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Hold-Geoffroy_A_Perceptual_Measure_CVPR_2018_paper.html",
        "author": "Yannick Hold-Geoffroy, Kalyan Sunkavalli, Jonathan Eisenmann, Matthew Fisher, Emiliano Gambaretto, Sunil Hadap, Jean-Fran\u00e7ois Lalonde",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Hold-Geoffroy_A_Perceptual_Measure_CVPR_2018_paper.pdf",
        "aff": "Adobe; Universit\u00e8 Laval",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1712.01259",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "A Pose-Sensitive Embedding for Person Re-Identification With Expanded Cross Neighborhood Re-Ranking",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Sarfraz_A_Pose-Sensitive_Embedding_CVPR_2018_paper.html",
        "author": "M. Saquib Sarfraz, Arne Schumann, Andreas Eberle, Rainer Stiefelhagen",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Sarfraz_A_Pose-Sensitive_Embedding_CVPR_2018_paper.pdf",
        "aff": "Fraunhofer IOSB; Karlsruhe Institute of Technology",
        "project": "",
        "github": "https://github.com/pse-ecn",
        "arxiv": "arXiv:1711.10378",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "A Prior-Less Method for Multi-Face Tracking in Unconstrained Videos",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Lin_A_Prior-Less_Method_CVPR_2018_paper.html",
        "author": "Chung-Ching Lin, Ying Hung",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Lin_A_Prior-Less_Method_CVPR_2018_paper.pdf",
        "aff": "IBM Research AI; Rutgers University",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "A Revised Underwater Image Formation Model",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Akkaynak_A_Revised_Underwater_CVPR_2018_paper.html",
        "author": "Derya Akkaynak, Tali Treibitz",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Akkaynak_A_Revised_Underwater_CVPR_2018_paper.pdf",
        "aff": "University of Haifa",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "A Robust Method for Strong Rolling Shutter Effects Correction Using Lines With Automatic Feature Selection",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Lao_A_Robust_Method_CVPR_2018_paper.html",
        "author": "Yizhen Lao, Omar Ait-Aider",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Lao_A_Robust_Method_CVPR_2018_paper.pdf",
        "aff": "Institut Pascal, Universit\u00e9 Clermont Auvergne / CNRS, 4 Avenue Blaise Pascal, 63178 Aubi\u00e8re Cedex, FRANCE",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "A Two-Step Disentanglement Method",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Hadad_A_Two-Step_Disentanglement_CVPR_2018_paper.html",
        "author": "Naama Hadad, Lior Wolf, Moni Shahar",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Hadad_A_Two-Step_Disentanglement_CVPR_2018_paper.pdf",
        "aff": "Tel Aviv University; Facebook AI Research and Tel Aviv University",
        "project": "",
        "github": "https://github.com/naamahadad/A-Two-Step-Disentanglement-Method",
        "arxiv": "1709.00199v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "A Twofold Siamese Network for Real-Time Object Tracking",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/He_A_Twofold_Siamese_CVPR_2018_paper.html",
        "author": "Anfeng He, Chong Luo, Xinmei Tian, Wenjun Zeng",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/He_A_Twofold_Siamese_CVPR_2018_paper.pdf",
        "aff": "Microsoft Research, Beijing, China; CAS Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, University of Science and Technology of China, Hefei, Anhui, China",
        "project": "",
        "github": "",
        "arxiv": "1802.08817v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "A Unifying Contrast Maximization Framework for Event Cameras, With Applications to Motion, Depth, and Optical Flow Estimation",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Gallego_A_Unifying_Contrast_CVPR_2018_paper.html",
        "author": "Guillermo Gallego, Henri Rebecq, Davide Scaramuzza",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Gallego_A_Unifying_Contrast_CVPR_2018_paper.pdf",
        "aff": "Dept. of Informatics and Neuroinformatics, University of Zurich and ETH Zurich",
        "project": "",
        "github": "",
        "arxiv": "1804.01306v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "A Variational U-Net for Conditional Appearance and Shape Generation",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Esser_A_Variational_U-Net_CVPR_2018_paper.html",
        "author": "Patrick Esser, Ekaterina Sutter, Bj\u00f6rn Ommer",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Esser_A_Variational_U-Net_CVPR_2018_paper.pdf",
        "aff": "Heidelberg Collaboratory for Image Processing, IWR, Heidelberg University, Germany",
        "project": "https://compvis.github.io/vunet",
        "github": "https://github.com/compvis/vunet",
        "arxiv": "arXiv:1804.04694",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "A Weighted Sparse Sampling and Smoothing Frame Transition Approach for Semantic Fast-Forward First-Person Videos",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Silva_A_Weighted_Sparse_CVPR_2018_paper.html",
        "author": "Michel Silva, Washington Ramos, Jo\u00e3o Ferreira, Felipe Chamone, Mario Campos, Erickson R. Nascimento",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Silva_A_Weighted_Sparse_CVPR_2018_paper.pdf",
        "aff": "Universidade Federal de Minas Gerais (UFMG), Brazil",
        "project": "https://www.verlab.dcc.ufmg.br/semantic-hyperlapse/cvpr2018/",
        "github": "",
        "arxiv": "1802.08722v4",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "A2-RL: Aesthetics Aware Reinforcement Learning for Image Cropping",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Li_A2-RL_Aesthetics_Aware_CVPR_2018_paper.html",
        "author": "Debang Li, Huikai Wu, Junge Zhang, Kaiqi Huang",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Li_A2-RL_Aesthetics_Aware_CVPR_2018_paper.pdf",
        "aff": "CRIPAC & NLPR, Institute of Automation, Chinese Academy of Sciences, Beijing, China; University of Chinese Academy of Sciences, Beijing, China; CAS Center for Excellence in Brain Science and Intelligence Technology, Beijing, China; CRIPAC & NLPR, Institute of Automation, Chinese Academy of Sciences, Beijing, China; University of Chinese Academy of Sciences, Beijing, China",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1709.04595",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "AMNet: Memorability Estimation With Attention",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Fajtl_AMNet_Memorability_Estimation_CVPR_2018_paper.html",
        "author": "Jiri Fajtl, Vasileios Argyriou, Dorothy Monekosso, Paolo Remagnino",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Fajtl_AMNet_Memorability_Estimation_CVPR_2018_paper.pdf",
        "aff": "Kingston University, London, UK; Leeds Beckett University, Leeds, UK",
        "project": "",
        "github": "",
        "arxiv": "1804.03115v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "AON: Towards Arbitrarily-Oriented Text Recognition",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Cheng_AON_Towards_Arbitrarily-Oriented_CVPR_2018_paper.html",
        "author": "Zhanzhan Cheng, Yangliu Xu, Fan Bai, Yi Niu, Shiliang Pu, Shuigeng Zhou",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Cheng_AON_Towards_Arbitrarily-Oriented_CVPR_2018_paper.pdf",
        "aff": "Hikvision Research Institute, China; Tongji University, Shanghai, China; Shanghai Key Lab of Intelligent Information Processing, and School of Computer Science, Fudan University, Shanghai, China",
        "project": "",
        "github": "",
        "arxiv": "1711.04226v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "AVA: A Video Dataset of Spatio-Temporally Localized Atomic Visual Actions",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Gu_AVA_A_Video_CVPR_2018_paper.html",
        "author": "Chunhui Gu, Chen Sun, David A. Ross, Carl Vondrick, Caroline Pantofaru, Yeqing Li, Sudheendra Vijayanarasimhan, George Toderici, Susanna Ricco, Rahul Sukthankar, Cordelia Schmid, Jitendra Malik",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Gu_AVA_A_Video_CVPR_2018_paper.pdf",
        "aff": "Inria, Laboratoire Jean Kuntzmann, Grenoble, France; University of California at Berkeley, USA; Google Research",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1705.08421",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Accurate and Diverse Sampling of Sequences Based on a \u201cBest of Many\u201d Sample Objective",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Bhattacharyya_Accurate_and_Diverse_CVPR_2018_paper.html",
        "author": "Apratim Bhattacharyya, Bernt Schiele, Mario Fritz",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Bhattacharyya_Accurate_and_Diverse_CVPR_2018_paper.pdf",
        "aff": "Max Planck Institute for Informatics, Saarland Informatics Campus, Saarbr\u00fccken, Germany",
        "project": "",
        "github": "",
        "arxiv": "1806.07772v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Action Sets: Weakly Supervised Action Segmentation Without Ordering Constraints",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Richard_Action_Sets_Weakly_CVPR_2018_paper.html",
        "author": "Alexander Richard, Hilde Kuehne, Juergen Gall",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Richard_Action_Sets_Weakly_CVPR_2018_paper.pdf",
        "aff": "University of Bonn, Germany",
        "project": "",
        "github": "",
        "arxiv": "1706.00699v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Active Fixation Control to Predict Saccade Sequences",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Wloka_Active_Fixation_Control_CVPR_2018_paper.html",
        "author": "Calden Wloka, Iuliia Kotseruba, John K. Tsotsos",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Wloka_Active_Fixation_Control_CVPR_2018_paper.pdf",
        "aff": "Department of Electrical Engineering and Computer Science, York University, Toronto, Canada",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Actor and Action Video Segmentation From a Sentence",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Gavrilyuk_Actor_and_Action_CVPR_2018_paper.html",
        "author": "Kirill Gavrilyuk, Amir Ghodrati, Zhenyang Li, Cees G. M. Snoek",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Gavrilyuk_Actor_and_Action_CVPR_2018_paper.pdf",
        "aff": "QUV A Lab, University of Amsterdam",
        "project": "",
        "github": "",
        "arxiv": "1803.07485v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Actor and Observer: Joint Modeling of First and Third-Person Videos",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Sigurdsson_Actor_and_Observer_CVPR_2018_paper.html",
        "author": "Gunnar A. Sigurdsson, Abhinav Gupta, Cordelia Schmid, Ali Farhadi, Karteek Alahari",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Sigurdsson_Actor_and_Observer_CVPR_2018_paper.pdf",
        "aff": "Carnegie Mellon University; Inria\u2020; Allen Institute for Arti\ufb01cial Intelligence",
        "project": "",
        "github": "https://github.com/gsig/actor-observer",
        "arxiv": "arXiv:1804.09627",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "AdaDepth: Unsupervised Content Congruent Adaptation for Depth Estimation",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Kundu_AdaDepth_Unsupervised_content_cvpr_2018_paper.html",
        "author": "Jogendra Nath Kundu, Phani Krishna Uppala, Anuj Pahuja, R. Venkatesh Babu",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Kundu_AdaDepth_Unsupervised_content_cvpr_2018_paper.pdf",
        "aff": "Video Analytics Lab, Department of Computational and Data Sciences, Indian Institute of Science, Bangalore, India",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1803.01599",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Adversarial Complementary Learning for Weakly Supervised Object Localization",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Zhang_Adversarial_Complementary_Learning_CVPR_2018_paper.html",
        "author": "Xiaolin Zhang, Yunchao Wei, Jiashi Feng, Yi Yang, Thomas S. Huang",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Zhang_Adversarial_Complementary_Learning_CVPR_2018_paper.pdf",
        "aff": "National University of Singapore; University of Illinois Urbana-Champaign; CAI, University of Technology Sydney",
        "project": "",
        "github": "",
        "arxiv": "1804.06962v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Adversarial Data Programming: Using GANs to Relax the Bottleneck of Curated Labeled Data",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Pal_Adversarial_Data_Programming_CVPR_2018_paper.html",
        "author": "Arghya Pal, Vineeth N. Balasubramanian",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Pal_Adversarial_Data_Programming_CVPR_2018_paper.pdf",
        "aff": "Department of Computer Science and Engineering, Indian Institute of Technology, Hyderabad, INDIA",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1803.05137",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Adversarial Feature Augmentation for Unsupervised Domain Adaptation",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Volpi_Adversarial_Feature_Augmentation_CVPR_2018_paper.html",
        "author": "Riccardo Volpi, Pietro Morerio, Silvio Savarese, Vittorio Murino",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Volpi_Adversarial_Feature_Augmentation_CVPR_2018_paper.pdf",
        "aff": "Computer Science Department - Universit`a di Verona; Stanford Vision and Learning Lab - Stanford University; Pattern Analysis & Computer Vision - Istituto Italiano di Tecnologia",
        "project": "",
        "github": "",
        "arxiv": "1711.08561v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Adversarially Learned One-Class Classifier for Novelty Detection",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Sabokrou_Adversarially_Learned_One-Class_CVPR_2018_paper.html",
        "author": "Mohammad Sabokrou, Mohammad Khalooei, Mahmood Fathy, Ehsan Adeli",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Sabokrou_Adversarially_Learned_One-Class_CVPR_2018_paper.pdf",
        "aff": "Stanford University; Institute for Research in Fundamental Sciences; Amirkabir University of Technology",
        "project": "",
        "github": "",
        "arxiv": "1802.09088v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Adversarially Occluded Samples for Person Re-Identification",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Huang_Adversarially_Occluded_Samples_CVPR_2018_paper.html",
        "author": "Houjing Huang, Dangwei Li, Zhang Zhang, Xiaotang Chen, Kaiqi Huang",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Huang_Adversarially_Occluded_Samples_CVPR_2018_paper.pdf",
        "aff": "CRIPAC & NLPR, CASIA; University of Chinese Academy of Sciences; CAS Center for Excellence in Brain Science and Intelligence Technology; CRIPAC & NLPR, CASIA; University of Chinese Academy of Sciences",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Aligning Infinite-Dimensional Covariance Matrices in Reproducing Kernel Hilbert Spaces for Domain Adaptation",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Zhang_Aligning_Infinite-Dimensional_Covariance_CVPR_2018_paper.html",
        "author": "Zhen Zhang, Mianzhi Wang, Yan Huang, Arye Nehorai",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Zhang_Aligning_Infinite-Dimensional_Covariance_CVPR_2018_paper.pdf",
        "aff": "Washington University in St. Louis",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Alive Caricature From 2D to 3D",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Wu_Alive_Caricature_From_CVPR_2018_paper.html",
        "author": "Qianyi Wu, Juyong Zhang, Yu-Kun Lai, Jianmin Zheng, Jianfei Cai",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Wu_Alive_Caricature_From_CVPR_2018_paper.pdf",
        "aff": "University of Science and Technology of China, China; Nanyang Technological University, Singapore; Cardiff University, UK",
        "project": "",
        "github": "",
        "arxiv": "1803.06802v3",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Alternating-Stereo VINS: Observability Analysis and Performance Evaluation",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Paul_Alternating-Stereo_VINS_Observability_CVPR_2018_paper.html",
        "author": "Mrinal K. Paul, Stergios I. Roumeliotis",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Paul_Alternating-Stereo_VINS_Observability_CVPR_2018_paper.pdf",
        "aff": "Google Inc., California, USA",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "An Analysis of Scale Invariance in Object Detection \u00ad SNIP",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Singh_An_Analysis_of_CVPR_2018_paper.html",
        "author": "Bharat Singh, Larry S. Davis",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Singh_An_Analysis_of_CVPR_2018_paper.pdf",
        "aff": "University of Maryland, College Park",
        "project": "",
        "github": "http://bit.ly/2yXVg4c",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "An Efficient and Provable Approach for Mixture Proportion Estimation Using Linear Independence Assumption",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Yu_An_Efficient_and_CVPR_2018_paper.html",
        "author": "Xiyu Yu, Tongliang Liu, Mingming Gong, Kayhan Batmanghelich, Dacheng Tao",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Yu_An_Efficient_and_CVPR_2018_paper.pdf",
        "aff": "Department of Biomedical Informatics, University of Pittsburgh; UBTECH Sydney AI Centre, SIT, FEIT, The University of Sydney, Australia",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "An End-to-End TextSpotter With Explicit Alignment and Attention",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/He_An_End-to-End_TextSpotter_CVPR_2018_paper.html",
        "author": "Tong He, Zhi Tian, Weilin Huang, Chunhua Shen, Yu Qiao, Changming Sun",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/He_An_End-to-End_TextSpotter_CVPR_2018_paper.pdf",
        "aff": "Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China; CSIRO Data61, Australia; University of Adelaide, Australia; Malong Technologies Co., Ltd, Shenzhen, China",
        "project": "",
        "github": "https://github.com/tonghe90/textspotter",
        "arxiv": "1803.03474v3",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "An Unsupervised Learning Model for Deformable Medical Image Registration",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Balakrishnan_An_Unsupervised_Learning_CVPR_2018_paper.html",
        "author": "Guha Balakrishnan, Amy Zhao, Mert R. Sabuncu, John Guttag, Adrian V. Dalca",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Balakrishnan_An_Unsupervised_Learning_CVPR_2018_paper.pdf",
        "aff": "MIT; Cornell University; MIT and MGH",
        "project": "",
        "github": "https://github.com/balakg/voxelmorph",
        "arxiv": "arXiv:1802.02604",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Analysis of Hand Segmentation in the Wild",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Urooj_Analysis_of_Hand_CVPR_2018_paper.html",
        "author": "Aisha Urooj, Ali Borji",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Urooj_Analysis_of_Hand_CVPR_2018_paper.pdf",
        "aff": "Center for Research in Computer Vision, University of Central Florida",
        "project": "",
        "github": "",
        "arxiv": "1803.03317v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Analytic Expressions for Probabilistic Moments of PL-DNN With Gaussian Input",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Bibi_Analytic_Expressions_for_CVPR_2018_paper.html",
        "author": "Adel Bibi, Modar Alfadly, Bernard Ghanem",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Bibi_Analytic_Expressions_for_CVPR_2018_paper.pdf",
        "aff": "King Abdullah University of Science and Technology (KAUST), Saudi Arabia",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Analytical Modeling of Vanishing Points and Curves in Catadioptric Cameras",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Miraldo_Analytical_Modeling_of_CVPR_2018_paper.html",
        "author": "Pedro Miraldo, Francisco Eiras, Srikumar Ramalingam",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Miraldo_Analytical_Modeling_of_CVPR_2018_paper.pdf",
        "aff": "University of Utah; University of Oxford; Instituto Superior T\u00e9cnico, Lisboa",
        "project": "",
        "github": "",
        "arxiv": "1804.09460v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Analyzing Filters Toward Efficient ConvNet",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Kobayashi_Analyzing_Filters_Toward_CVPR_2018_paper.html",
        "author": "Takumi Kobayashi",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Kobayashi_Analyzing_Filters_Toward_CVPR_2018_paper.pdf",
        "aff": "National Institute of Advanced Industrial Science and Technology, Japan",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Anatomical Priors in Convolutional Networks for Unsupervised Biomedical Segmentation",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Dalca_Anatomical_Priors_in_CVPR_2018_paper.html",
        "author": "Adrian V. Dalca, John Guttag, Mert R. Sabuncu",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Dalca_Anatomical_Priors_in_CVPR_2018_paper.pdf",
        "aff": "MIT and MGH; Cornell University; MIT",
        "project": "",
        "github": "http://github.com/adalca/neuron",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Anticipating Traffic Accidents With Adaptive Loss and Large-Scale Incident DB",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Suzuki_Anticipating_Traffic_Accidents_CVPR_2018_paper.html",
        "author": "Tomoyuki Suzuki, Hirokatsu Kataoka, Yoshimitsu Aoki, Yutaka Satoh",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Suzuki_Anticipating_Traffic_Accidents_CVPR_2018_paper.pdf",
        "aff": "National Institute of Advanced Industrial Science and Technology (AIST); Keio University",
        "project": "",
        "github": "",
        "arxiv": "1804.02675v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Aperture Supervision for Monocular Depth Estimation",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Srinivasan_Aperture_Supervision_for_CVPR_2018_paper.html",
        "author": "Pratul P. Srinivasan, Rahul Garg, Neal Wadhwa, Ren Ng, Jonathan T. Barron",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Srinivasan_Aperture_Supervision_for_CVPR_2018_paper.pdf",
        "aff": "UC Berkeley; Google Research",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1711.07933",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Appearance-and-Relation Networks for Video Classification",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Wang_Appearance-and-Relation_Networks_for_CVPR_2018_paper.html",
        "author": "Limin Wang, Wei Li, Wen Li, Luc Van Gool",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Wang_Appearance-and-Relation_Networks_for_CVPR_2018_paper.pdf",
        "aff": "Computer Vision Laboratory, ETH Zurich, Switzerland; National Key Laboratory for Novel Software Technology, Nanjing University, China; Google Research",
        "project": "",
        "github": "https://github.com/wanglimin/ARTNet",
        "arxiv": "1711.09125v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Arbitrary Style Transfer With Deep Feature Reshuffle",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Gu_Arbitrary_Style_Transfer_CVPR_2018_paper.html",
        "author": "Shuyang Gu, Congliang Chen, Jing Liao, Lu Yuan",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Gu_Arbitrary_Style_Transfer_CVPR_2018_paper.pdf",
        "aff": "Peking University; Microsoft Research; University of Science and Technology of China",
        "project": "",
        "github": "",
        "arxiv": "1805.04103v4",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Are You Talking to Me? Reasoned Visual Dialog Generation Through Adversarial Learning",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Wu_Are_You_Talking_CVPR_2018_paper.html",
        "author": "Qi Wu, Peng Wang, Chunhua Shen, Ian Reid, Anton van den Hengel",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Wu_Are_You_Talking_CVPR_2018_paper.pdf",
        "aff": "School of Computer Science and Engineering, Northwestern Polytechnical University; Australian Centre for Robotic Vision, The University of Adelaide, Australia",
        "project": "",
        "github": "",
        "arxiv": "1711.07613v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Art of Singular Vectors and Universal Adversarial Perturbations",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Khrulkov_Art_of_Singular_CVPR_2018_paper.html",
        "author": "Valentin Khrulkov, Ivan Oseledets",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Khrulkov_Art_of_Singular_CVPR_2018_paper.pdf",
        "aff": "Skolkovo Institute of Science and Technology, Institute of Numerical Mathematics RAS; Skolkovo Institute of Science and Technology",
        "project": "",
        "github": "",
        "arxiv": "1709.03582v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Attend and Interact: Higher-Order Object Interactions for Video Understanding",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Ma_Attend_and_Interact_CVPR_2018_paper.html",
        "author": "Chih-Yao Ma, Asim Kadav, Iain Melvin, Zsolt Kira, Ghassan AlRegib, Hans Peter Graf",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Ma_Attend_and_Interact_CVPR_2018_paper.pdf",
        "aff": "Georgia Institute of Technology; NEC Laboratories America; Georgia Tech Research Institute",
        "project": "",
        "github": "",
        "arxiv": "1711.06330v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Attention Clusters: Purely Attention Based Local Feature Integration for Video Classification",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Long_Attention_Clusters_Purely_CVPR_2018_paper.html",
        "author": "Xiang Long, Chuang Gan, Gerard de Melo, Jiajun Wu, Xiao Liu, Shilei Wen",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Long_Attention_Clusters_Purely_CVPR_2018_paper.pdf",
        "aff": "MIT; Tsinghua University; Rutgers University; MIT-IBM Watson AI Lab; Baidu IDL",
        "project": "",
        "github": "",
        "arxiv": "1711.09550v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Attention-Aware Compositional Network for Person Re-Identification",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Xu_Attention-Aware_Compositional_Network_CVPR_2018_paper.html",
        "author": "Jing Xu, Rui Zhao, Feng Zhu, Huaming Wang, Wanli Ouyang",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Xu_Attention-Aware_Compositional_Network_CVPR_2018_paper.pdf",
        "aff": "SenseTime Group Limited; The University of Sydney; SenseNets Technology Limited",
        "project": "",
        "github": "",
        "arxiv": "1805.03344v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Attentional ShapeContextNet for Point Cloud Recognition",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Xie_Attentional_ShapeContextNet_for_CVPR_2018_paper.html",
        "author": "Saining Xie, Sainan Liu, Zeyu Chen, Zhuowen Tu",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Xie_Attentional_ShapeContextNet_for_CVPR_2018_paper.pdf",
        "aff": "University of California, San Diego",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Attentive Fashion Grammar Network for Fashion Landmark Detection and Clothing Category Classification",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Wang_Attentive_Fashion_Grammar_CVPR_2018_paper.html",
        "author": "Wenguan Wang, Yuanlu Xu, Jianbing Shen, Song-Chun Zhu",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Wang_Attentive_Fashion_Grammar_CVPR_2018_paper.pdf",
        "aff": "Beijing Lab of Intelligent Information Technology, School of Computer Science, Beijing Institute of Technology, China; Department of Computer Science and Statistics, University of California, Los Angeles, USA",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Attentive Generative Adversarial Network for Raindrop Removal From a Single Image",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Qian_Attentive_Generative_Adversarial_CVPR_2018_paper.html",
        "author": "Rui Qian, Robby T. Tan, Wenhan Yang, Jiajun Su, Jiaying Liu",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Qian_Attentive_Generative_Adversarial_CVPR_2018_paper.pdf",
        "aff": "National University of Singapore, Yale-NUS College; Institute of Computer Science and Technology, Peking University, Beijing, P.R. China",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1711.10098",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "AttnGAN: Fine-Grained Text to Image Generation With Attentional Generative Adversarial Networks",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Xu_AttnGAN_Fine-Grained_Text_CVPR_2018_paper.html",
        "author": "Tao Xu, Pengchuan Zhang, Qiuyuan Huang, Han Zhang, Zhe Gan, Xiaolei Huang, Xiaodong He",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Xu_AttnGAN_Fine-Grained_Text_CVPR_2018_paper.pdf",
        "aff": "Microsoft Research; JD AI Research; Lehigh University; Rutgers University; Duke University",
        "project": "",
        "github": "",
        "arxiv": "1711.10485v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Audio to Body Dynamics",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Shlizerman_Audio_to_Body_CVPR_2018_paper.html",
        "author": "Eli Shlizerman, Lucio Dery, Hayden Schoen, Ira Kemelmacher-Shlizerman",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Shlizerman_Audio_to_Body_CVPR_2018_paper.pdf",
        "aff": "Facebook Inc.; Facebook Inc., Stanford University; Facebook Inc., University of Washington",
        "project": "https://arviolin.github.io/AudioBodyDynamics/",
        "github": "https://github.com/arviolin/AudioBodyDynamics",
        "arxiv": "1712.09382v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Augmented Skeleton Space Transfer for Depth-Based Hand Pose Estimation",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Baek_Augmented_Skeleton_Space_CVPR_2018_paper.html",
        "author": "Seungryul Baek, Kwang In Kim, Tae-Kyun Kim",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Baek_Augmented_Skeleton_Space_CVPR_2018_paper.pdf",
        "aff": "Imperial College London; University of Bath",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1805.04497",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Augmenting Crowd-Sourced 3D Reconstructions Using Semantic Detections",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Price_Augmenting_Crowd-Sourced_3D_CVPR_2018_paper.html",
        "author": "True Price, Johannes L. Sch\u00f6nberger, Zhen Wei, Marc Pollefeys, Jan-Michael Frahm",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Price_Augmenting_Crowd-Sourced_3D_CVPR_2018_paper.pdf",
        "aff": "Department of Computer Science, UNC Chapel Hill; Department of Computer Science, ETH Z\u00fcrich",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Automatic 3D Indoor Scene Modeling From Single Panorama",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Yang_Automatic_3D_Indoor_CVPR_2018_paper.html",
        "author": "Yang Yang, Shi Jin, Ruiyang Liu, Sing Bing Kang, Jingyi Yu",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Yang_Automatic_3D_Indoor_CVPR_2018_paper.pdf",
        "aff": "Microsoft Research; ShanghaiTech University, Plex-VR Inc.; University of Delaware; ShanghaiTech University",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Avatar-Net: Multi-Scale Zero-Shot Style Transfer by Feature Decoration",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Sheng_Avatar-Net_Multi-Scale_Zero-Shot_CVPR_2018_paper.html",
        "author": "Lu Sheng, Ziyi Lin, Jing Shao, Xiaogang Wang",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Sheng_Avatar-Net_Multi-Scale_Zero-Shot_CVPR_2018_paper.pdf",
        "aff": "CUHK-SenseTime Joint Lab, The Chinese University of Hong Kong; SenseTime Research",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1805.03857",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "BPGrad: Towards Global Optimality in Deep Learning via Branch and Pruning",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Zhang_BPGrad_Towards_Global_CVPR_2018_paper.html",
        "author": "Ziming Zhang, Yuanwei Wu, Guanghui Wang",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Zhang_BPGrad_Towards_Global_CVPR_2018_paper.pdf",
        "aff": "EECS, The University of Kansas; Mitsubishi Electric Research Laboratories",
        "project": "",
        "github": "",
        "arxiv": "1711.06959v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Baseline Desensitizing in Translation Averaging",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Zhuang_Baseline_Desensitizing_in_CVPR_2018_paper.html",
        "author": "Bingbing Zhuang, Loong-Fah Cheong, Gim Hee Lee",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Zhuang_Baseline_Desensitizing_in_CVPR_2018_paper.pdf",
        "aff": "National University of Singapore",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Benchmarking 6DOF Outdoor Visual Localization in Changing Conditions",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Sattler_Benchmarking_6DOF_Outdoor_CVPR_2018_paper.html",
        "author": "Torsten Sattler, Will Maddern, Carl Toft, Akihiko Torii, Lars Hammarstrand, Erik Stenborg, Daniel Safari, Masatoshi Okutomi, Marc Pollefeys, Josef Sivic, Fredrik Kahl, Tomas Pajdla",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Sattler_Benchmarking_6DOF_Outdoor_CVPR_2018_paper.pdf",
        "aff": "Inria\u2217; Oxford Robotics Institute, University of Oxford; Tokyo Institute of Technology; Department of Computer Science, ETH Z\u00fcrich; Department of Electrical Engineering, Chalmers University of Technology; CIIRC, CTU in Prague\u2020",
        "project": "visuallocalization.net",
        "github": "",
        "arxiv": "1707.09092v3",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Between-Class Learning for Image Classification",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Tokozume_Between-Class_Learning_for_CVPR_2018_paper.html",
        "author": "Yuji Tokozume, Yoshitaka Ushiku, Tatsuya Harada",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Tokozume_Between-Class_Learning_for_CVPR_2018_paper.pdf",
        "aff": "The University of Tokyo; The University of Tokyo, RIKEN",
        "project": "",
        "github": "https://github.com/mil-tokyo/bc_learning_image",
        "arxiv": "1711.10284v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Beyond Grobner Bases: Basis Selection for Minimal Solvers",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Larsson_Beyond_Grobner_Bases_CVPR_2018_paper.html",
        "author": "Viktor Larsson, Magnus Oskarsson, Kalle Astrom, Alge Wallis, Zuzana Kukelova, Tomas Pajdla",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Larsson_Beyond_Grobner_Bases_CVPR_2018_paper.pdf",
        "aff": "Czech Technical University in Prague, Czech Republic; Lund University, Lund, Sweden; University of Bath, Bath, United Kingdom",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Beyond Holistic Object Recognition: Enriching Image Understanding With Part States",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Lu_Beyond_Holistic_Object_CVPR_2018_paper.html",
        "author": "Cewu Lu, Hao Su, Yonglu Li, Yongyi Lu, Li Yi, Chi-Keung Tang, Leonidas J. Guibas",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Lu_Beyond_Holistic_Object_CVPR_2018_paper.pdf",
        "aff": "Stanford University; Hong Kong University of Science and Technology; University of California San Diego; Shanghai Jiao Tong University",
        "project": "",
        "github": "",
        "arxiv": "1612.07310v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Beyond Trade-Off: Accelerate FCN-Based Face Detector With Higher Accuracy",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Song_Beyond_Trade-Off_Accelerate_CVPR_2018_paper.html",
        "author": "Guanglu Song, Yu Liu, Ming Jiang, Yujie Wang, Junjie Yan, Biao Leng",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Song_Beyond_Trade-Off_Accelerate_CVPR_2018_paper.pdf",
        "aff": "Sensetime Group Limited; The Chinese University of Hong Kong; Beihang University",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1804.05197",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Beyond the Pixel-Wise Loss for Topology-Aware Delineation",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Mosinska_Beyond_the_Pixel-Wise_CVPR_2018_paper.html",
        "author": "Agata Mosinska, Pablo M\u00e1rquez-Neila, Mateusz Kozi\u0144ski, Pascal Fua",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Mosinska_Beyond_the_Pixel-Wise_CVPR_2018_paper.pdf",
        "aff": "ARTORG Center for Biomedical Engineering Research, University of Bern; Computer Vision Laboratory, Ecole Polytechnique Federale de Lausanne (EPFL)",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1712.02190",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Bidirectional Attentive Fusion With Context Gating for Dense Video Captioning",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Wang_Bidirectional_Attentive_Fusion_CVPR_2018_paper.html",
        "author": "Jingwen Wang, Wenhao Jiang, Lin Ma, Wei Liu, Yong Xu",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Wang_Bidirectional_Attentive_Fusion_CVPR_2018_paper.pdf",
        "aff": "Tencent AI Lab; South China University of Technology",
        "project": "",
        "github": "",
        "arxiv": "1804.00100v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Bidirectional Retrieval Made Simple",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Wehrmann_Bidirectional_Retrieval_Made_CVPR_2018_paper.html",
        "author": "J\u00f4natas Wehrmann, Rodrigo C. Barros",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Wehrmann_Bidirectional_Retrieval_Made_CVPR_2018_paper.pdf",
        "aff": "School of Technology, Pontif \u00b4\u0131cia Universidade Cat \u00b4olica do Rio Grande do Sul",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Bilateral Ordinal Relevance Multi-Instance Regression for Facial Action Unit Intensity Estimation",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Zhang_Bilateral_Ordinal_Relevance_CVPR_2018_paper.html",
        "author": "Yong Zhang, Rui Zhao, Weiming Dong, Bao-Gang Hu, Qiang Ji",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Zhang_Bilateral_Ordinal_Relevance_CVPR_2018_paper.pdf",
        "aff": "Rensselaer Polytechnic Institute; National Laboratory of Pattern Recognition, CASIA; National Laboratory of Pattern Recognition, CASIA; University of Chinese Academy of Sciences",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Blazingly Fast Video Object Segmentation With Pixel-Wise Metric Learning",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Chen_Blazingly_Fast_Video_CVPR_2018_paper.html",
        "author": "Yuhua Chen, Jordi Pont-Tuset, Alberto Montes, Luc Van Gool",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Chen_Blazingly_Fast_Video_CVPR_2018_paper.pdf",
        "aff": "Computer Vision Lab, ETH Zurich and VISICS, ESAT/PSI, KU Leuven; Computer Vision Lab, ETH Zurich",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1804.03131",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Blind Predicting Similar Quality Map for Image Quality Assessment",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Pan_Blind_Predicting_Similar_CVPR_2018_paper.html",
        "author": "Da Pan, Ping Shi, Ming Hou, Zefeng Ying, Sizhe Fu, Yuan Zhang",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Pan_Blind_Predicting_Similar_CVPR_2018_paper.pdf",
        "aff": "Communication University of China",
        "project": "",
        "github": "",
        "arxiv": "1805.08493v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "BlockDrop: Dynamic Inference Paths in Residual Networks",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Wu_BlockDrop_Dynamic_Inference_CVPR_2018_paper.html",
        "author": "Zuxuan Wu, Tushar Nagarajan, Abhishek Kumar, Steven Rennie, Larry S. Davis, Kristen Grauman, Rogerio Feris",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Wu_BlockDrop_Dynamic_Inference_CVPR_2018_paper.pdf",
        "aff": "UMD; IBM Research; Fusemachines Inc.; UT Austin",
        "project": "",
        "github": "",
        "arxiv": "1711.08393v4",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Boosting Adversarial Attacks With Momentum",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Dong_Boosting_Adversarial_Attacks_CVPR_2018_paper.html",
        "author": "Yinpeng Dong, Fangzhou Liao, Tianyu Pang, Hang Su, Jun Zhu, Xiaolin Hu, Jianguo Li",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Dong_Boosting_Adversarial_Attacks_CVPR_2018_paper.pdf",
        "aff": "Intel Labs China; Department of Computer Science and Technology, Tsinghua Lab of Brain and Intelligence, Beijing National Research Center for Information Science and Technology, BNRist Lab, Tsinghua University, 100084 China",
        "project": "",
        "github": "",
        "arxiv": "1710.06081v3",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Boosting Domain Adaptation by Discovering Latent Domains",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Mancini_Boosting_Domain_Adaptation_CVPR_2018_paper.html",
        "author": "Massimiliano Mancini, Lorenzo Porzi, Samuel Rota Bul\u00f2, Barbara Caputo, Elisa Ricci",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Mancini_Boosting_Domain_Adaptation_CVPR_2018_paper.pdf",
        "aff": "Mapillary Research; Fondazione Bruno Kessler, University of Trento; Sapienza University of Rome, Fondazione Bruno Kessler; Sapienza University of Rome, Italian Institute of Technology",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1805.01386",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Boosting Self-Supervised Learning via Knowledge Transfer",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Noroozi_Boosting_Self-Supervised_Learning_CVPR_2018_paper.html",
        "author": "Mehdi Noroozi, Ananth Vinjimoor, Paolo Favaro, Hamed Pirsiavash",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Noroozi_Boosting_Self-Supervised_Learning_CVPR_2018_paper.pdf",
        "aff": "University of Bern; University of Maryland, Baltimore County",
        "project": "",
        "github": "",
        "arxiv": "1805.00385v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Bootstrapping the Performance of Webly Supervised Semantic Segmentation",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Shen_Bootstrapping_the_Performance_CVPR_2018_paper.html",
        "author": "Tong Shen, Guosheng Lin, Chunhua Shen, Ian Reid",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Shen_Bootstrapping_the_Performance_CVPR_2018_paper.pdf",
        "aff": "School of Computer Science, The University of Adelaide, Australia; School of Computer Science and Engineering, Nanyang Technological University, Singapore",
        "project": "",
        "github": "https://github.com/ascust/BDWSSModel-T",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Anderson_Bottom-Up_and_Top-Down_CVPR_2018_paper.html",
        "author": "Peter Anderson, Xiaodong He, Chris Buehler, Damien Teney, Mark Johnson, Stephen Gould, Lei Zhang",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Anderson_Bottom-Up_and_Top-Down_CVPR_2018_paper.pdf",
        "aff": "University of Adelaide; Microsoft Research; JD AI Research; Macquarie University; Australian National University",
        "project": "",
        "github": "",
        "arxiv": "1707.07998v3",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Boundary Flow: A Siamese Network That Predicts Boundary Motion Without Training on Motion",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Lei_Boundary_Flow_A_CVPR_2018_paper.html",
        "author": "Peng Lei, Fuxin Li, Sinisa Todorovic",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Lei_Boundary_Flow_A_CVPR_2018_paper.pdf",
        "aff": "Oregon State University",
        "project": "",
        "github": "",
        "arxiv": "1702.08646v3",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Burst Denoising With Kernel Prediction Networks",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Mildenhall_Burst_Denoising_With_CVPR_2018_paper.html",
        "author": "Ben Mildenhall, Jonathan T. Barron, Jiawen Chen, Dillon Sharlet, Ren Ng, Robert Carroll",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Mildenhall_Burst_Denoising_With_CVPR_2018_paper.pdf",
        "aff": "UC Berkeley; Google Research",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1712.02327",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "CBMV: A Coalesced Bidirectional Matching Volume for Disparity Estimation",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Batsos_CBMV_A_Coalesced_CVPR_2018_paper.html",
        "author": "Konstantinos Batsos, Changjiang Cai, Philippos Mordohai",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Batsos_CBMV_A_Coalesced_CVPR_2018_paper.pdf",
        "aff": "Stevens Institute of Technology",
        "project": "",
        "github": "",
        "arxiv": "1804.01967v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "CLEAR: Cumulative LEARning for One-Shot One-Class Image Recognition",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Kozerawski_CLEAR_Cumulative_LEARning_CVPR_2018_paper.html",
        "author": "Jedrzej Kozerawski, Matthew Turk",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Kozerawski_CLEAR_Cumulative_LEARning_CVPR_2018_paper.pdf",
        "aff": "University of California, Santa Barbara",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "CLIP-Q: Deep Network Compression Learning by In-Parallel Pruning-Quantization",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Tung_CLIP-Q_Deep_Network_CVPR_2018_paper.html",
        "author": "Frederick Tung, Greg Mori",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Tung_CLIP-Q_Deep_Network_CVPR_2018_paper.pdf",
        "aff": "Simon Fraser University",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "CNN Based Learning Using Reflection and Retinex Models for Intrinsic Image Decomposition",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Baslamisli_CNN_Based_Learning_CVPR_2018_paper.html",
        "author": "Anil S. Baslamisli, Hoang-An Le, Theo Gevers",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Baslamisli_CNN_Based_Learning_CVPR_2018_paper.pdf",
        "aff": "Informatics Institute, University of Amsterdam",
        "project": "https://ivi.fnwi.uva.nl/cv/retinet",
        "github": "",
        "arxiv": "arXiv:1712.01056",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "CNN Driven Sparse Multi-Level B-Spline Image Registration",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Jiang_CNN_Driven_Sparse_CVPR_2018_paper.html",
        "author": "Pingge Jiang, James A. Shackleford",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Jiang_CNN_Driven_Sparse_CVPR_2018_paper.pdf",
        "aff": "Department of Electrical and Computer Engineering, Drexel University",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "CNN in MRF: Video Object Segmentation via Inference in a CNN-Based Higher-Order Spatio-Temporal MRF",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Bao_CNN_in_MRF_CVPR_2018_paper.html",
        "author": "Linchao Bao, Baoyuan Wu, Wei Liu",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Bao_CNN_in_MRF_CVPR_2018_paper.pdf",
        "aff": "Tencent AI Lab; Columbia University",
        "project": "",
        "github": "",
        "arxiv": "1803.09453v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "COCO-Stuff: Thing and Stuff Classes in Context",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Caesar_COCO-Stuff_Thing_and_CVPR_2018_paper.html",
        "author": "Holger Caesar, Jasper Uijlings, Vittorio Ferrari",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Caesar_COCO-Stuff_Thing_and_CVPR_2018_paper.pdf",
        "aff": "University of Edinburgh and Google AI Perception; University of Edinburgh; Google AI Perception",
        "project": "http://calvin.inf.ed.ac.uk/datasets/coco-stuff",
        "github": "",
        "arxiv": "arXiv:1612.03716",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "CRRN: Multi-Scale Guided Concurrent Reflection Removal Network",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Wan_CRRN_Multi-Scale_Guided_CVPR_2018_paper.html",
        "author": "Renjie Wan, Boxin Shi, Ling-Yu Duan, Ah-Hwee Tan, Alex C. Kot",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Wan_CRRN_Multi-Scale_Guided_CVPR_2018_paper.pdf",
        "aff": "School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore; Interdisciplinary Graduate School, School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore; National Engineering Laboratory for Video Technology, School of EECS, Peking University, China; School of Computer Science and Engineering, Nanyang Technological University, Singapore",
        "project": "",
        "github": "",
        "arxiv": "1805.11802v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "CSGNet: Neural Shape Parser for Constructive Solid Geometry",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Sharma_CSGNet_Neural_Shape_CVPR_2018_paper.html",
        "author": "Gopal Sharma, Rishabh Goyal, Difan Liu, Evangelos Kalogerakis, Subhransu Maji",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Sharma_CSGNet_Neural_Shape_CVPR_2018_paper.pdf",
        "aff": "University of Massachusetts, Amherst",
        "project": "",
        "github": "",
        "arxiv": "1712.08290v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Li_CSRNet_Dilated_Convolutional_CVPR_2018_paper.html",
        "author": "Yuhong Li, Xiaofan Zhang, Deming Chen",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Li_CSRNet_Dilated_Convolutional_CVPR_2018_paper.pdf",
        "aff": "University of Illinois at Urbana-Champaign; University of Illinois at Urbana-Champaign; Beijing University of Posts and Telecommunications",
        "project": "",
        "github": "",
        "arxiv": "1802.10062v4",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "CVM-Net: Cross-View Matching Network for Image-Based Ground-to-Aerial Geo-Localization",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Hu_CVM-Net_Cross-View_Matching_CVPR_2018_paper.html",
        "author": "Sixing Hu, Mengdan Feng, Rang M. H. Nguyen, Gim Hee Lee",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Hu_CVM-Net_Cross-View_Matching_CVPR_2018_paper.pdf",
        "aff": "National University of Singapore",
        "project": "",
        "github": "https://github.com/david-husx/crossview_localisation.git",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Camera Pose Estimation With Unknown Principal Point",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Larsson_Camera_Pose_Estimation_CVPR_2018_paper.html",
        "author": "Viktor Larsson, Zuzana Kukelova, Yinqiang Zheng",
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        "aff": "National Institute of Informatics, Tokyo, Japan; FEE, Czech Technical University, Prague, Czech Republic; Lund University, Lund, Sweden",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Camera Style Adaptation for Person Re-Identification",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Zhong_Camera_Style_Adaptation_CVPR_2018_paper.html",
        "author": "Zhun Zhong, Liang Zheng, Zhedong Zheng, Shaozi Li, Yi Yang",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Zhong_Camera_Style_Adaptation_CVPR_2018_paper.pdf",
        "aff": "Centre for Artificial Intelligence, University of Technology Sydney, Australia; Cognitive Science Department, Xiamen University, China",
        "project": "",
        "github": "https://github.com/zhunzhong07/CamStyle",
        "arxiv": "1711.10295v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Can Spatiotemporal 3D CNNs Retrace the History of 2D CNNs and ImageNet?",
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        "author": "Kensho Hara, Hirokatsu Kataoka, Yutaka Satoh",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Hara_Can_Spatiotemporal_3D_CVPR_2018_paper.pdf",
        "aff": "National Institute of Advanced Industrial Science and Technology (AIST)",
        "project": "",
        "github": "https://github.com/kenshohara/3D-ResNets-PyTorch",
        "arxiv": "1711.09577v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "CarFusion: Combining Point Tracking and Part Detection for Dynamic 3D Reconstruction of Vehicles",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Reddy_CarFusion_Combining_Point_CVPR_2018_paper.html",
        "author": "N. Dinesh Reddy, Minh Vo, Srinivasa G. Narasimhan",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Reddy_CarFusion_Combining_Point_CVPR_2018_paper.pdf",
        "aff": "Carnegie Mellon University",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "CartoonGAN: Generative Adversarial Networks for Photo Cartoonization",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Chen_CartoonGAN_Generative_Adversarial_CVPR_2018_paper.html",
        "author": "Yang Chen, Yu-Kun Lai, Yong-Jin Liu",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Chen_CartoonGAN_Generative_Adversarial_CVPR_2018_paper.pdf",
        "aff": "Tsinghua University, China; Cardiff University, UK",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
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    {
        "title": "Cascade R-CNN: Delving Into High Quality Object Detection",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Cai_Cascade_R-CNN_Delving_CVPR_2018_paper.html",
        "author": "Zhaowei Cai, Nuno Vasconcelos",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Cai_Cascade_R-CNN_Delving_CVPR_2018_paper.pdf",
        "aff": "UC San Diego",
        "project": "",
        "github": "https://github.com/zhaoweicai/cascade-rcnn",
        "arxiv": "arXiv:1712.00726",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Cascaded Pyramid Network for Multi-Person Pose Estimation",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Chen_Cascaded_Pyramid_Network_CVPR_2018_paper.html",
        "author": "Yilun Chen, Zhicheng Wang, Yuxiang Peng, Zhiqiang Zhang, Gang Yu, Jian Sun",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Chen_Cascaded_Pyramid_Network_CVPR_2018_paper.pdf",
        "aff": "Tsinghua University; Megvii Inc. (Face++); HuaZhong University of Science and Technology",
        "project": "",
        "github": "https://github.com/allenchen9512/tf-cpn",
        "arxiv": "1711.07319v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Categorizing Concepts With Basic Level for Vision-to-Language",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Wang_Categorizing_Concepts_With_CVPR_2018_paper.html",
        "author": "Hanzhang Wang, Hanli Wang, Kaisheng Xu",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Wang_Categorizing_Concepts_With_CVPR_2018_paper.pdf",
        "aff": "Department of Computer Science and Technology, Tongji University, Shanghai, P. R. China",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Classification-Driven Dynamic Image Enhancement",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Sharma_Classification-Driven_Dynamic_Image_CVPR_2018_paper.html",
        "author": "Vivek Sharma, Ali Diba, Davy Neven, Michael S. Brown, Luc Van Gool, Rainer Stiefelhagen",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Sharma_Classification-Driven_Dynamic_Image_CVPR_2018_paper.pdf",
        "aff": "York University, Toronto; ESAT-PSI, KU Leuven and CVL, ETH Z\u00fcrich; CV:HCI, KIT, Karlsruhe; ESAT-PSI, KU Leuven",
        "project": "",
        "github": "",
        "arxiv": "1710.07558v3",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Classifier Learning With Prior Probabilities for Facial Action Unit Recognition",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Zhang_Classifier_Learning_With_CVPR_2018_paper.html",
        "author": "Yong Zhang, Weiming Dong, Bao-Gang Hu, Qiang Ji",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Zhang_Classifier_Learning_With_CVPR_2018_paper.pdf",
        "aff": "Rensselaer Polytechnic Institute; National Laboratory of Pattern Recognition, CASIA; National Laboratory of Pattern Recognition, CASIA; University of Chinese Academy of Sciences",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "ClcNet: Improving the Efficiency of Convolutional Neural Network Using Channel Local Convolutions",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Zhang_ClcNet_Improving_the_CVPR_2018_paper.html",
        "author": "Dong-Qing Zhang",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Zhang_ClcNet_Improving_the_CVPR_2018_paper.pdf",
        "aff": "ImaginationAI LLC",
        "project": "",
        "github": "",
        "arxiv": "1712.06145v3",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "CleanNet: Transfer Learning for Scalable Image Classifier Training With Label Noise",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Lee_CleanNet_Transfer_Learning_CVPR_2018_paper.html",
        "author": "Kuang-Huei Lee, Xiaodong He, Lei Zhang, Linjun Yang",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Lee_CleanNet_Transfer_Learning_CVPR_2018_paper.pdf",
        "aff": "Facebook; JD AI Research; Microsoft AI and Research",
        "project": "",
        "github": "https://kuanghuei.github.io/CleanNetProject",
        "arxiv": "1711.07131v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Clinical Skin Lesion Diagnosis Using Representations Inspired by Dermatologist Criteria",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Yang_Clinical_Skin_Lesion_CVPR_2018_paper.html",
        "author": "Jufeng Yang, Xiaoxiao Sun, Jie Liang, Paul L. Rosin",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Yang_Clinical_Skin_Lesion_CVPR_2018_paper.pdf",
        "aff": "College of Computer and Control Engineering, Nankai University, Tianjin, China; School of Computer Science and Informatics, Cardiff University, Cardiff, UK",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "ClusterNet: Detecting Small Objects in Large Scenes by Exploiting Spatio-Temporal Information",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/LaLonde_ClusterNet_Detecting_Small_CVPR_2018_paper.html",
        "author": "Rodney LaLonde, Dong Zhang, Mubarak Shah",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/LaLonde_ClusterNet_Detecting_Small_CVPR_2018_paper.pdf",
        "aff": "Center for Research in Computer Vision (CRCV), University of Central Florida (UCF)",
        "project": "",
        "github": "",
        "arxiv": "1704.02694v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "CodeSLAM \u2014 Learning a Compact, Optimisable Representation for Dense Visual SLAM",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Bloesch_CodeSLAM_--_Learning_CVPR_2018_paper.html",
        "author": "Michael Bloesch, Jan Czarnowski, Ronald Clark, Stefan Leutenegger, Andrew J. Davison",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Bloesch_CodeSLAM_--_Learning_CVPR_2018_paper.pdf",
        "aff": "Dyson Robotics Laboratory at Imperial College, Department of Computing, Imperial College London, UK",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Coding Kendall's Shape Trajectories for 3D Action Recognition",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Tanfous_Coding_Kendalls_Shape_CVPR_2018_paper.html",
        "author": "Amor Ben Tanfous, Hassen Drira, Boulbaba Ben Amor",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Tanfous_Coding_Kendalls_Shape_CVPR_2018_paper.pdf",
        "aff": "IMT Lille Douai, Univ. Lille, CNRS, UMR 9189 \u2013 CRIStAL \u2013 Centre de Recherche en Informatique Signal et Automatique de Lille, F-59000 Lille, France",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Collaborative and Adversarial Network for Unsupervised Domain Adaptation",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Zhang_Collaborative_and_Adversarial_CVPR_2018_paper.html",
        "author": "Weichen Zhang, Wanli Ouyang, Wen Li, Dong Xu",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Zhang_Collaborative_and_Adversarial_CVPR_2018_paper.pdf",
        "aff": "School of Electrical and Information Engineering, The University of Sydney; Computer Vision Laboratory, ETH Zurich",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Compare and Contrast: Learning Prominent Visual Differences",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Chen_Compare_and_Contrast_CVPR_2018_paper.html",
        "author": "Steven Chen, Kristen Grauman",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Chen_Compare_and_Contrast_CVPR_2018_paper.pdf",
        "aff": "The University of Texas at Austin",
        "project": "",
        "github": "",
        "arxiv": "1804.00112v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Compassionately Conservative Balanced Cuts for Image Segmentation",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Cahill_Compassionately_Conservative_Balanced_CVPR_2018_paper.html",
        "author": "Nathan D. Cahill, Tyler L. Hayes, Renee T. Meinhold, John F. Hamilton",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Cahill_Compassionately_Conservative_Balanced_CVPR_2018_paper.pdf",
        "aff": "Rochester Institute of Technology",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1803.09903",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Compressed Video Action Recognition",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Wu_Compressed_Video_Action_CVPR_2018_paper.html",
        "author": "Chao-Yuan Wu, Manzil Zaheer, Hexiang Hu, R. Manmatha, Alexander J. Smola, Philipp Kr\u00e4henb\u00fchl",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Wu_Compressed_Video_Action_CVPR_2018_paper.pdf",
        "aff": "Amazon; University of Southern California; The University of Texas at Austin; Carnegie Mellon University; A9",
        "project": "",
        "github": "",
        "arxiv": "1712.00636v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "CondenseNet: An Efficient DenseNet Using Learned Group Convolutions",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Huang_CondenseNet_An_Efficient_CVPR_2018_paper.html",
        "author": "Gao Huang, Shichen Liu, Laurens van der Maaten, Kilian Q. Weinberger",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Huang_CondenseNet_An_Efficient_CVPR_2018_paper.pdf",
        "aff": "Tsinghua University; Cornell University; Facebook AI Research",
        "project": "",
        "github": "",
        "arxiv": "1711.09224v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Conditional Generative Adversarial Network for Structured Domain Adaptation",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Hong_Conditional_Generative_Adversarial_CVPR_2018_paper.html",
        "author": "Weixiang Hong, Zhenzhen Wang, Ming Yang, Junsong Yuan",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Hong_Conditional_Generative_Adversarial_CVPR_2018_paper.pdf",
        "aff": "Nanyang Technological University; State University of New York at Buffalo; Horizon Robotics, Inc.",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Conditional Image-to-Image Translation",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Lin_Conditional_Image-to-Image_Translation_CVPR_2018_paper.html",
        "author": "Jianxin Lin, Yingce Xia, Tao Qin, Zhibo Chen, Tie-Yan Liu",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Lin_Conditional_Image-to-Image_Translation_CVPR_2018_paper.pdf",
        "aff": "Microsoft Research Asia; University of Science and Technology of China",
        "project": "",
        "github": "",
        "arxiv": "1805.00251v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Conditional Probability Models for Deep Image Compression",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Mentzer_Conditional_Probability_Models_CVPR_2018_paper.html",
        "author": "Fabian Mentzer, Eirikur Agustsson, Michael Tschannen, Radu Timofte, Luc Van Gool",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Mentzer_Conditional_Probability_Models_CVPR_2018_paper.pdf",
        "aff": "ETH Z\u00fcrich, Switzerland",
        "project": "",
        "github": "",
        "arxiv": "1801.04260v4",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Connecting Pixels to Privacy and Utility: Automatic Redaction of Private Information in Images",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Orekondy_Connecting_Pixels_to_CVPR_2018_paper.html",
        "author": "Tribhuvanesh Orekondy, Mario Fritz, Bernt Schiele",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Orekondy_Connecting_Pixels_to_CVPR_2018_paper.pdf",
        "aff": "Max Planck Institute for Informatics, Saarland Informatics Campus, Saarbr\u00fccken, Germany",
        "project": "",
        "github": "",
        "arxiv": "1712.01066v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Consensus Maximization for Semantic Region Correspondences",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Speciale_Consensus_Maximization_for_CVPR_2018_paper.html",
        "author": "Pablo Speciale, Danda P. Paudel, Martin R. Oswald, Hayko Riemenschneider, Luc Van Gool, Marc Pollefeys",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Speciale_Consensus_Maximization_for_CVPR_2018_paper.pdf",
        "aff": "Computer Vision Laboratory, D-ITET, ETH Z\u00fcrich, and VISICS, ESAT/PSI, KU Leuven, Belgium; Computer Vision Laboratory, D-ITET, ETH Z\u00fcrich; Department of Computer Science, ETH Z\u00fcrich, and Microsoft, Redmond, USA; Department of Computer Science, ETH Z\u00fcrich",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Content-Sensitive Supervoxels via Uniform Tessellations on Video Manifolds",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Yi_Content-Sensitive_Supervoxels_via_CVPR_2018_paper.html",
        "author": "Ran Yi, Yong-Jin Liu, Yu-Kun Lai",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Yi_Content-Sensitive_Supervoxels_via_CVPR_2018_paper.pdf",
        "aff": "Tsinghua University, China; Cardiff University, UK",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Context Contrasted Feature and Gated Multi-Scale Aggregation for Scene Segmentation",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Ding_Context_Contrasted_Feature_CVPR_2018_paper.html",
        "author": "Henghui Ding, Xudong Jiang, Bing Shuai, Ai Qun Liu, Gang Wang",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Ding_Context_Contrasted_Feature_CVPR_2018_paper.pdf",
        "aff": "School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore; Alibaba Group, Hangzhou, China",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Context Embedding Networks",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Kim_Context_Embedding_Networks_CVPR_2018_paper.html",
        "author": "Kun Ho Kim, Oisin Mac Aodha, Pietro Perona",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Kim_Context_Embedding_Networks_CVPR_2018_paper.pdf",
        "aff": "California Institute of Technology",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1711.00227",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Context Encoding for Semantic Segmentation",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Zhang_Context_Encoding_for_CVPR_2018_paper.html",
        "author": "Hang Zhang, Kristin Dana, Jianping Shi, Zhongyue Zhang, Xiaogang Wang, Ambrish Tyagi, Amit Agrawal",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Zhang_Context_Encoding_for_CVPR_2018_paper.pdf",
        "aff": "The Chinese University of Hong Kong; SenseTime; Amazon Inc; Rutgers University; Rutgers University, Amazon Inc",
        "project": "http://hangzh.com/",
        "github": "",
        "arxiv": "1803.08904v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Context-Aware Deep Feature Compression for High-Speed Visual Tracking",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Choi_Context-Aware_Deep_Feature_CVPR_2018_paper.html",
        "author": "Jongwon Choi, Hyung Jin Chang, Tobias Fischer, Sangdoo Yun, Kyuewang Lee, Jiyeoup Jeong, Yiannis Demiris, Jin Young Choi",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Choi_Context-Aware_Deep_Feature_CVPR_2018_paper.pdf",
        "aff": "Clova AI Research, NAVER Corp.; ASRI, ECE., Seoul National University; Personal Robotics Lab., EEE., Imperial College London",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1803.10537",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Context-Aware Synthesis for Video Frame Interpolation",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Niklaus_Context-Aware_Synthesis_for_CVPR_2018_paper.html",
        "author": "Simon Niklaus, Feng Liu",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Niklaus_Context-Aware_Synthesis_for_CVPR_2018_paper.pdf",
        "aff": "Portland State University",
        "project": "http://graphics.cs.pdx.edu/project/ctxsyn",
        "github": "",
        "arxiv": "1803.10967v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Continuous Relaxation of MAP Inference: A Nonconvex Perspective",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Le-Huu_Continuous_Relaxation_of_CVPR_2018_paper.html",
        "author": "D. Khu\u00ea L\u00ea-Huu, Nikos Paragios",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Le-Huu_Continuous_Relaxation_of_CVPR_2018_paper.pdf",
        "aff": "1CentraleSup \u00b4elec, Universit \u00b4e Paris-Saclay2Inria3TheraPanacea; 1CentraleSup \u00b4elec, Universit \u00b4e Paris-Saclay",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1802.07796",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Controllable Video Generation With Sparse Trajectories",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Hao_Controllable_Video_Generation_CVPR_2018_paper.html",
        "author": "Zekun Hao, Xun Huang, Serge Belongie",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Hao_Controllable_Video_Generation_CVPR_2018_paper.pdf",
        "aff": "Department of Computer Science & Cornell Tech, Cornell University",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Convolutional Image Captioning",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Aneja_Convolutional_Image_Captioning_CVPR_2018_paper.html",
        "author": "Jyoti Aneja, Aditya Deshpande, Alexander G. Schwing",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Aneja_Convolutional_Image_Captioning_CVPR_2018_paper.pdf",
        "aff": "University of Illinois at Urbana-Champaign",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1805.09019",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Convolutional Neural Networks With Alternately Updated Clique",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Yang_Convolutional_Neural_Networks_CVPR_2018_paper.html",
        "author": "Yibo Yang, Zhisheng Zhong, Tiancheng Shen, Zhouchen Lin",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Yang_Convolutional_Neural_Networks_CVPR_2018_paper.pdf",
        "aff": "Key Laboratory of Machine Perception (MOE), School of EECS, Peking University; Academy for Advanced Interdisciplinary Studies, Peking University; Cooperative Medianet Innovation Center, Shanghai Jiao Tong University",
        "project": "",
        "github": "http://github.com/iboing/CliqueNet0",
        "arxiv": "1802.10419v3",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Convolutional Sequence to Sequence Model for Human Dynamics",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Li_Convolutional_Sequence_to_CVPR_2018_paper.html",
        "author": "Chen Li, Zhen Zhang, Wee Sun Lee, Gim Hee Lee",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Li_Convolutional_Sequence_to_CVPR_2018_paper.pdf",
        "aff": "Department of Computer Science, National University of Singapore, Singapore",
        "project": "",
        "github": "https://github.com/chaneyddtt/Convolutional-Sequence-to-Sequence-Model-for-Human-Dynamics",
        "arxiv": "arXiv:1805.00655",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Correlation Tracking via Joint Discrimination and Reliability Learning",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Sun_Correlation_Tracking_via_CVPR_2018_paper.html",
        "author": "Chong Sun, Dong Wang, Huchuan Lu, Ming-Hsuan Yang",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Sun_Correlation_Tracking_via_CVPR_2018_paper.pdf",
        "aff": "Electrical Engineering and Computer Science, University of California, Merced, USA; School of Information and Communication Engineering, Dalian University of Technology, China",
        "project": "",
        "github": "",
        "arxiv": "1804.08965v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "CosFace: Large Margin Cosine Loss for Deep Face Recognition",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Wang_CosFace_Large_Margin_CVPR_2018_paper.html",
        "author": "Hao Wang, Yitong Wang, Zheng Zhou, Xing Ji, Dihong Gong, Jingchao Zhou, Zhifeng Li, Wei Liu",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Wang_CosFace_Large_Margin_CVPR_2018_paper.pdf",
        "aff": "Tencent AI Lab",
        "project": "",
        "github": "",
        "arxiv": "1801.09414v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Coupled End-to-End Transfer Learning With Generalized Fisher Information",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Chen_Coupled_End-to-End_Transfer_CVPR_2018_paper.html",
        "author": "Shixing Chen, Caojin Zhang, Ming Dong",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Chen_Coupled_End-to-End_Transfer_CVPR_2018_paper.pdf",
        "aff": "Department of Mathematics, Wayne State University; Department of Computer Science, Wayne State University",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Crafting a Toolchain for Image Restoration by Deep Reinforcement Learning",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Yu_Crafting_a_Toolchain_CVPR_2018_paper.html",
        "author": "Ke Yu, Chao Dong, Liang Lin, Chen Change Loy",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Yu_Crafting_a_Toolchain_CVPR_2018_paper.pdf",
        "aff": "SenseTime Research, Sun Yat-sen University; CUHK - SenseTime Joint Lab, The Chinese University of Hong Kong; SenseTime Research",
        "project": "http://mmlab.ie.cuhk.edu.hk/projects/RL-Restore/",
        "github": "",
        "arxiv": "1804.03312v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Creating Capsule Wardrobes From Fashion Images",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Hsiao_Creating_Capsule_Wardrobes_CVPR_2018_paper.html",
        "author": "Wei-Lin Hsiao, Kristen Grauman",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Hsiao_Creating_Capsule_Wardrobes_CVPR_2018_paper.pdf",
        "aff": "UT-Austin",
        "project": "",
        "github": "",
        "arxiv": "1712.02662v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Cross-Dataset Adaptation for Visual Question Answering",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Chao_Cross-Dataset_Adaptation_for_CVPR_2018_paper.html",
        "author": "Wei-Lun Chao, Hexiang Hu, Fei Sha",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Chao_Cross-Dataset_Adaptation_for_CVPR_2018_paper.pdf",
        "aff": "U. of Southern California, Los Angeles, CA",
        "project": "",
        "github": "",
        "arxiv": "1806.03726v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Cross-Domain Self-Supervised Multi-Task Feature Learning Using Synthetic Imagery",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Ren_Cross-Domain_Self-Supervised_Multi-Task_CVPR_2018_paper.html",
        "author": "Zhongzheng Ren, Yong Jae Lee",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Ren_Cross-Domain_Self-Supervised_Multi-Task_CVPR_2018_paper.pdf",
        "aff": "University of California, Davis",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1711.09082",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Cross-Domain Weakly-Supervised Object Detection Through Progressive Domain Adaptation",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Inoue_Cross-Domain_Weakly-Supervised_Object_CVPR_2018_paper.html",
        "author": "Naoto Inoue, Ryosuke Furuta, Toshihiko Yamasaki, Kiyoharu Aizawa",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Inoue_Cross-Domain_Weakly-Supervised_Object_CVPR_2018_paper.pdf",
        "aff": "The University of Tokyo, Japan",
        "project": "",
        "github": "https://naoto0804.github.io/cross_domain_detection",
        "arxiv": "1803.11365v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Cross-Modal Deep Variational Hand Pose Estimation",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Spurr_Cross-Modal_Deep_Variational_CVPR_2018_paper.html",
        "author": "Adrian Spurr, Jie Song, Seonwook Park, Otmar Hilliges",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Spurr_Cross-Modal_Deep_Variational_CVPR_2018_paper.pdf",
        "aff": "ETH Zurich",
        "project": "",
        "github": "",
        "arxiv": "1803.11404v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Cross-View Image Synthesis Using Conditional GANs",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Regmi_Cross-View_Image_Synthesis_CVPR_2018_paper.html",
        "author": "Krishna Regmi, Ali Borji",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Regmi_Cross-View_Image_Synthesis_CVPR_2018_paper.pdf",
        "aff": "Center for Research in Computer Vision, University of Central Florida",
        "project": "",
        "github": "",
        "arxiv": "1803.03396v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Crowd Counting With Deep Negative Correlation Learning",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Shi_Crowd_Counting_With_CVPR_2018_paper.html",
        "author": "Zenglin Shi, Le Zhang, Yun Liu, Xiaofeng Cao, Yangdong Ye, Ming-Ming Cheng, Guoyan Zheng",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Shi_Crowd_Counting_With_CVPR_2018_paper.pdf",
        "aff": "Nankai University, China; ADSC, UIUC, Singapore; Zhengzhou University, China; University of Bern, Switzerland; University of Technology Sydney, Australia",
        "project": "",
        "github": "https://github.com/shizenglin/Deep-NCL",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Crowd Counting via Adversarial Cross-Scale Consistency Pursuit",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Shen_Crowd_Counting_via_CVPR_2018_paper.html",
        "author": "Zan Shen, Yi Xu, Bingbing Ni, Minsi Wang, Jianguo Hu, Xiaokang Yang",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Shen_Crowd_Counting_via_CVPR_2018_paper.pdf",
        "aff": "Minivision; Shanghai Jiao Tong University, Shanghai 200240, China",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Cube Padding for Weakly-Supervised Saliency Prediction in 360\u00b0 Videos",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Cheng_Cube_Padding_for_CVPR_2018_paper.html",
        "author": "Hsien-Tzu Cheng, Chun-Hung Chao, Jin-Dong Dong, Hao-Kai Wen, Tyng-Luh Liu, Min Sun",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Cheng_Cube_Padding_for_CVPR_2018_paper.pdf",
        "aff": "National Tsing Hua University; Academia Sinica; Taiwan AI Labs",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Curve Reconstruction via the Global Statistics of Natural Curves",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Barnea_Curve_Reconstruction_via_CVPR_2018_paper.html",
        "author": "Ehud Barnea, Ohad Ben-Shahar",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Barnea_Curve_Reconstruction_via_CVPR_2018_paper.pdf",
        "aff": "Dept. of Computer Science, Ben-Gurion University, Beer-Sheva, Israel",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1711.03172",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Customized Image Narrative Generation via Interactive Visual Question Generation and Answering",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Shin_Customized_Image_Narrative_CVPR_2018_paper.html",
        "author": "Andrew Shin, Yoshitaka Ushiku, Tatsuya Harada",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Shin_Customized_Image_Narrative_CVPR_2018_paper.pdf",
        "aff": "The University of Tokyo; The University of Tokyo, RIKEN",
        "project": "",
        "github": "",
        "arxiv": "1805.00460v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "DA-GAN: Instance-Level Image Translation by Deep Attention Generative Adversarial Networks",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Ma_DA-GAN_Instance-Level_Image_CVPR_2018_paper.html",
        "author": "Shuang Ma, Jianlong Fu, Chang Wen Chen, Tao Mei",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Ma_DA-GAN_Instance-Level_Image_CVPR_2018_paper.pdf",
        "aff": "Microsoft Research; School of Science and Engineering, The Chinese University of Hong Kong; Computer Science and Engineering, SUNY at Buffalo",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1802.06454",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "DOTA: A Large-Scale Dataset for Object Detection in Aerial Images",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Xia_DOTA_A_Large-Scale_CVPR_2018_paper.html",
        "author": "Gui-Song Xia, Xiang Bai, Jian Ding, Zhen Zhu, Serge Belongie, Jiebo Luo, Mihai Datcu, Marcello Pelillo, Liangpei Zhang",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Xia_DOTA_A_Large-Scale_CVPR_2018_paper.pdf",
        "aff": "Wuhan University; Cornell University; German Aerospace Center (DLR); Rochester University; University of Venice; Huazhong Univ. Sci. and Tech.",
        "project": "",
        "github": "https://captain-whu.github.io/DOTA",
        "arxiv": "1711.10398v3",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "DS*: Tighter Lifting-Free Convex Relaxations for Quadratic Matching Problems",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Bernard_DS_Tighter_Lifting-Free_CVPR_2018_paper.html",
        "author": "Florian Bernard, Christian Theobalt, Michael Moeller",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Bernard_DS_Tighter_Lifting-Free_CVPR_2018_paper.pdf",
        "aff": "University of Siegen; MPI Informatics, Saarland Informatics Campus",
        "project": "",
        "github": "",
        "arxiv": "1711.10733v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "DVQA: Understanding Data Visualizations via Question Answering",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Kafle_DVQA_Understanding_Data_CVPR_2018_paper.html",
        "author": "Kushal Kafle, Brian Price, Scott Cohen, Christopher Kanan",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Kafle_DVQA_Understanding_Data_CVPR_2018_paper.pdf",
        "aff": "Adobe Research; Rochester Institute of Technology",
        "project": "",
        "github": "",
        "arxiv": "1801.08163v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Data Distillation: Towards Omni-Supervised Learning",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Radosavovic_Data_Distillation_Towards_CVPR_2018_paper.html",
        "author": "Ilija Radosavovic, Piotr Doll\u00e1r, Ross Girshick, Georgia Gkioxari, Kaiming He",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Radosavovic_Data_Distillation_Towards_CVPR_2018_paper.pdf",
        "aff": "Facebook AI Research (FAIR)",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1712.04440",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "DeLS-3D: Deep Localization and Segmentation With a 3D Semantic Map",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Wang_DeLS-3D_Deep_Localization_CVPR_2018_paper.html",
        "author": "Peng Wang, Ruigang Yang, Binbin Cao, Wei Xu, Yuanqing Lin",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Wang_DeLS-3D_Deep_Localization_CVPR_2018_paper.pdf",
        "aff": "Baidu Research, National Engineering Laboratory for Deep Learning Technology and Applications",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1805.04949",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Kupyn_DeblurGAN_Blind_Motion_CVPR_2018_paper.html",
        "author": "Orest Kupyn, Volodymyr Budzan, Mykola Mykhailych, Dmytro Mishkin, Ji\u0159\u00ed Matas",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Kupyn_DeblurGAN_Blind_Motion_CVPR_2018_paper.pdf",
        "aff": "Ukrainian Catholic University, Lviv, Ukraine; Visual Recognition Group, Center for Machine Perception, FEE, CTU in Prague; Ukrainian Catholic University, Lviv, Ukraine; ELEKS Ltd.",
        "project": "",
        "github": "https://github.com/KupynOrest/DeblurGAN",
        "arxiv": "1711.07064v4",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "DecideNet: Counting Varying Density Crowds Through Attention Guided Detection and Density Estimation",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Liu_DecideNet_Counting_Varying_CVPR_2018_paper.html",
        "author": "Jiang Liu, Chenqiang Gao, Deyu Meng, Alexander G. Hauptmann",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Liu_DecideNet_Counting_Varying_CVPR_2018_paper.pdf",
        "aff": "Xi\u2019an Jiaotong University; Carnegie Mellon University; Chongqing University of Posts and Telecommunications",
        "project": "",
        "github": "",
        "arxiv": "1712.06679v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Decorrelated Batch Normalization",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Huang_Decorrelated_Batch_Normalization_CVPR_2018_paper.html",
        "author": "Lei Huang, Dawei Yang, Bo Lang, Jia Deng",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Huang_Decorrelated_Batch_Normalization_CVPR_2018_paper.pdf",
        "aff": "\u2020State Key Laboratory of Software Development Environment, Beihang University, P.R.China; \u2021University of Michigan, Ann Arbor; \u2020State Key Laboratory of Software Development Environment, Beihang University, P.R.China \u2021University of Michigan, Ann Arbor",
        "project": "",
        "github": "",
        "arxiv": "1804.08450v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Decoupled Networks",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Liu_Decoupled_Networks_CVPR_2018_paper.html",
        "author": "Weiyang Liu, Zhen Liu, Zhiding Yu, Bo Dai, Rongmei Lin, Yisen Wang, James M. Rehg, Le Song",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Liu_Decoupled_Networks_CVPR_2018_paper.pdf",
        "aff": "Ant Financial; Tsinghua University; Georgia Institute of Technology; Emory University; NVIDIA",
        "project": "",
        "github": "",
        "arxiv": "1804.08071v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Deep Adversarial Metric Learning",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Duan_Deep_Adversarial_Metric_CVPR_2018_paper.html",
        "author": "Yueqi Duan, Wenzhao Zheng, Xudong Lin, Jiwen Lu, Jie Zhou",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Duan_Deep_Adversarial_Metric_CVPR_2018_paper.pdf",
        "aff": "Department of Automation, Tsinghua University, China; State Key Lab of Intelligent Technologies and Systems, China; Beijing National Research Center for Information Science and Technology, China; Department of Automation, Tsinghua University, China",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1806.01477",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Deep Adversarial Subspace Clustering",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Zhou_Deep_Adversarial_Subspace_CVPR_2018_paper.html",
        "author": "Pan Zhou, Yunqing Hou, Jiashi Feng",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Zhou_Deep_Adversarial_Subspace_CVPR_2018_paper.pdf",
        "aff": "National University of Singapore, Singapore",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Deep Back-Projection Networks for Super-Resolution",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Haris_Deep_Back-Projection_Networks_CVPR_2018_paper.html",
        "author": "Muhammad Haris, Gregory Shakhnarovich, Norimichi Ukita",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Haris_Deep_Back-Projection_Networks_CVPR_2018_paper.pdf",
        "aff": "Toyota Technological Institute at Chicago, United States; Toyota Technological Institute, Japan",
        "project": "",
        "github": "",
        "arxiv": "1803.02735v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Deep Cauchy Hashing for Hamming Space Retrieval",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Cao_Deep_Cauchy_Hashing_CVPR_2018_paper.html",
        "author": "Yue Cao, Mingsheng Long, Bin Liu, Jianmin Wang",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Cao_Deep_Cauchy_Hashing_CVPR_2018_paper.pdf",
        "aff": "KLiss, MOE; School of Software, Tsinghua University, China; National Engineering Laboratory for Big Data Software, Beijing Key Laboratory for Industrial Big Data System and Application",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Deep Cocktail Network: Multi-Source Unsupervised Domain Adaptation With Category Shift",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Xu_Deep_Cocktail_Network_CVPR_2018_paper.html",
        "author": "Ruijia Xu, Ziliang Chen, Wangmeng Zuo, Junjie Yan, Liang Lin",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Xu_Deep_Cocktail_Network_CVPR_2018_paper.pdf",
        "aff": "Sun Yat-sen University and SenseTime Research; Sun Yat-sen University; SenseTime Research; Harbin Institute of Technology",
        "project": "",
        "github": "",
        "arxiv": "1803.00830v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Deep Cost-Sensitive and Order-Preserving Feature Learning for Cross-Population Age Estimation",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Li_Deep_Cost-Sensitive_and_CVPR_2018_paper.html",
        "author": "Kai Li, Junliang Xing, Chi Su, Weiming Hu, Yundong Zhang, Stephen Maybank",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Li_Deep_Cost-Sensitive_and_CVPR_2018_paper.pdf",
        "aff": "KingSoft Ltd.; Birkbeck University of London; National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences; University of Chinese Academy of Sciences; Vimicro AI Chip Technology Corporation; National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences; University of Chinese Academy of Sciences; CAS Center for Excellence in Brain Science and Intelligence Technology",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Deep Cross-Media Knowledge Transfer",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Huang_Deep_Cross-Media_Knowledge_CVPR_2018_paper.html",
        "author": "Xin Huang, Yuxin Peng",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Huang_Deep_Cross-Media_Knowledge_CVPR_2018_paper.pdf",
        "aff": "Institute of Computer Science and Technology, Peking University, Beijing 100871, China",
        "project": "",
        "github": "",
        "arxiv": "1803.03777v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Deep Density Clustering of Unconstrained Faces",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Lin_Deep_Density_Clustering_CVPR_2018_paper.html",
        "author": "Wei-An Lin, Jun-Cheng Chen, Carlos D. Castillo, Rama Chellappa",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Lin_Deep_Density_Clustering_CVPR_2018_paper.pdf",
        "aff": "University of Maryland, College Park",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Deep Depth Completion of a Single RGB-D Image",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Zhang_Deep_Depth_Completion_CVPR_2018_paper.html",
        "author": "Yinda Zhang, Thomas Funkhouser",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Zhang_Deep_Depth_Completion_CVPR_2018_paper.pdf",
        "aff": "Princeton University",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1803.09326",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Deep Diffeomorphic Transformer Networks",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Detlefsen_Deep_Diffeomorphic_Transformer_CVPR_2018_paper.html",
        "author": "Nicki Skafte Detlefsen, Oren Freifeld, S\u00f8ren Hauberg",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Detlefsen_Deep_Diffeomorphic_Transformer_CVPR_2018_paper.pdf",
        "aff": "Technical University of Denmark; Ben-Gurion University",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Deep End-to-End Time-of-Flight Imaging",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Su_Deep_End-to-End_Time-of-Flight_CVPR_2018_paper.html",
        "author": "Shuochen Su, Felix Heide, Gordon Wetzstein, Wolfgang Heidrich",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Su_Deep_End-to-End_Time-of-Flight_CVPR_2018_paper.pdf",
        "aff": "University of British Columbia; King Abdullah University of Science and Technology (KAUST); Stanford University",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Deep Extreme Cut: From Extreme Points to Object Segmentation",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Maninis_Deep_Extreme_Cut_CVPR_2018_paper.html",
        "author": "Kevis-Kokitsi Maninis, Sergi Caelles, Jordi Pont-Tuset, Luc Van Gool",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Maninis_Deep_Extreme_Cut_CVPR_2018_paper.pdf",
        "aff": "Computer Vision Lab, ETH Z\u00fcrich, Switzerland",
        "project": "http://www.vision.ee.ethz.ch/~cvlsegmentation/dextr/",
        "github": "",
        "arxiv": "arXiv:1711.09081",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Deep Face Detector Adaptation Without Negative Transfer or Catastrophic Forgetting",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Jamal_Deep_Face_Detector_CVPR_2018_paper.html",
        "author": "Muhammad Abdullah Jamal, Haoxiang Li, Boqing Gong",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Jamal_Deep_Face_Detector_CVPR_2018_paper.pdf",
        "aff": "Adobe Research, San Jose, CA 95110; Tencent AI Lab, Bellevue, WA 98004; University of Central Florida, Orlando, FL 32816",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Deep Group-Shuffling Random Walk for Person Re-Identification",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Shen_Deep_Group-Shuffling_Random_CVPR_2018_paper.html",
        "author": "Yantao Shen, Hongsheng Li, Tong Xiao, Shuai Yi, Dapeng Chen, Xiaogang Wang",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Shen_Deep_Group-Shuffling_Random_CVPR_2018_paper.pdf",
        "aff": "CUHK-SenseTime Joint Lab, The Chinese University of Hong Kong; SenseTime Research",
        "project": "",
        "github": "",
        "arxiv": "1807.11178v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Deep Hashing via Discrepancy Minimization",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Chen_Deep_Hashing_via_CVPR_2018_paper.html",
        "author": "Zhixiang Chen, Xin Yuan, Jiwen Lu, Qi Tian, Jie Zhou",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Chen_Deep_Hashing_via_CVPR_2018_paper.pdf",
        "aff": "Department of Computer Science, University of Texas at San Antonio, USA; Department of Automation, Tsinghua University, China; State Key Lab of Intelligent Technologies and Systems, Tsinghua University, China; Beijing National Research Center for Information Science and Technology, China",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Deep Image Prior",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Ulyanov_Deep_Image_Prior_CVPR_2018_paper.html",
        "author": "Dmitry Ulyanov, Andrea Vedaldi, Victor Lempitsky",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Ulyanov_Deep_Image_Prior_CVPR_2018_paper.pdf",
        "aff": "University of Oxford; Skolkovo Institute of Science and Technology, Yandex; Skolkovo Institute of Science and Technology (Skoltech)",
        "project": "https://dmitryulyanov.github.io/deep_image_prior",
        "github": "https://github.com/dmitryulyanov/deep_image_prior",
        "arxiv": "1711.10925v4",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Deep Layer Aggregation",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Yu_Deep_Layer_Aggregation_CVPR_2018_paper.html",
        "author": "Fisher Yu, Dequan Wang, Evan Shelhamer, Trevor Darrell",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Yu_Deep_Layer_Aggregation_CVPR_2018_paper.pdf",
        "aff": "UC Berkeley",
        "project": "",
        "github": "",
        "arxiv": "1707.06484v3",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Deep Learning Under Privileged Information Using Heteroscedastic Dropout",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Lambert_Deep_Learning_Under_CVPR_2018_paper.html",
        "author": "John Lambert, Ozan Sener, Silvio Savarese",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Lambert_Deep_Learning_Under_CVPR_2018_paper.pdf",
        "aff": "Department of Computer Science, Stanford University",
        "project": "",
        "github": "",
        "arxiv": "1805.11614v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Deep Learning of Graph Matching",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Zanfir_Deep_Learning_of_CVPR_2018_paper.html",
        "author": "Andrei Zanfir, Cristian Sminchisescu",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Zanfir_Deep_Learning_of_CVPR_2018_paper.pdf",
        "aff": "Department of Mathematics, Faculty of Engineering, Lund University; Institute of Mathematics of the Romanian Academy",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Deep Lesion Graphs in the Wild: Relationship Learning and Organization of Significant Radiology Image Findings in a Diverse Large-Scale Lesion Database",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Yan_Deep_Lesion_Graphs_CVPR_2018_paper.html",
        "author": "Ke Yan, Xiaosong Wang, Le Lu, Ling Zhang, Adam P. Harrison, Mohammadhadi Bagheri, Ronald M. Summers",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Yan_Deep_Lesion_Graphs_CVPR_2018_paper.pdf",
        "aff": "NVIDIA; Imaging Biomarkers and Computer-Aided Diagnosis Laboratory, National Institutes of Health Clinical Center",
        "project": "",
        "github": "",
        "arxiv": "1711.10535v3",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Deep Marching Cubes: Learning Explicit Surface Representations",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Liao_Deep_Marching_Cubes_CVPR_2018_paper.html",
        "author": "Yiyi Liao, Simon Donn\u00e9, Andreas Geiger",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Liao_Deep_Marching_Cubes_CVPR_2018_paper.pdf",
        "aff": "Autonomous Vision Group, MPI for Intelligent Systems T\u00fcbingen; Institute of Cyber-Systems and Control, Zhejiang University; Autonomous Vision Group, MPI for Intelligent Systems T\u00fcbingen; CVG Group, ETH Z\u00fcrich; Autonomous Vision Group, MPI for Intelligent Systems T\u00fcbingen; imec - IPI - Ghent University",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Deep Material-Aware Cross-Spectral Stereo Matching",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Zhi_Deep_Material-Aware_Cross-Spectral_CVPR_2018_paper.html",
        "author": "Tiancheng Zhi, Bernardo R. Pires, Martial Hebert, Srinivasa G. Narasimhan",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Zhi_Deep_Material-Aware_Cross-Spectral_CVPR_2018_paper.pdf",
        "aff": "Carnegie Mellon University",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Deep Mutual Learning",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Zhang_Deep_Mutual_Learning_CVPR_2018_paper.html",
        "author": "Ying Zhang, Tao Xiang, Timothy M. Hospedales, Huchuan Lu",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Zhang_Deep_Mutual_Learning_CVPR_2018_paper.pdf",
        "aff": "Dalian University of Technology, China; University of Edinburgh, UK; Queen Mary University of London, UK",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1706.00384",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Deep Ordinal Regression Network for Monocular Depth Estimation",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Fu_Deep_Ordinal_Regression_CVPR_2018_paper.html",
        "author": "Huan Fu, Mingming Gong, Chaohui Wang, Kayhan Batmanghelich, Dacheng Tao",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Fu_Deep_Ordinal_Regression_CVPR_2018_paper.pdf",
        "aff": "Department of Biomedical Informatics, University of Pittsburgh; Universit \u00b4e Paris-Est, LIGM (UMR 8049), CNRS, ENPC, ESIEE Paris, UPEM, Marne-la-Vall \u00b4ee, France; UBTECH Sydney AI Centre, SIT, FEIT, The University of Sydney, Australia",
        "project": "",
        "github": "",
        "arxiv": "1806.02446v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Deep Parametric Continuous Convolutional Neural Networks",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Wang_Deep_Parametric_Continuous_CVPR_2018_paper.html",
        "author": "Shenlong Wang, Simon Suo, Wei-Chiu Ma, Andrei Pokrovsky, Raquel Urtasun",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Wang_Deep_Parametric_Continuous_CVPR_2018_paper.pdf",
        "aff": "University of Waterloo, Uber Advanced Technologies Group; University of Toronto, Uber Advanced Technologies Group; Uber Advanced Technologies Group",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Deep Photo Enhancer: Unpaired Learning for Image Enhancement From Photographs With GANs",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Chen_Deep_Photo_Enhancer_CVPR_2018_paper.html",
        "author": "Yu-Sheng Chen, Yu-Ching Wang, Man-Hsin Kao, Yung-Yu Chuang",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Chen_Deep_Photo_Enhancer_CVPR_2018_paper.pdf",
        "aff": "National Taiwan University",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Deep Progressive Reinforcement Learning for Skeleton-Based Action Recognition",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Tang_Deep_Progressive_Reinforcement_CVPR_2018_paper.html",
        "author": "Yansong Tang, Yi Tian, Jiwen Lu, Peiyang Li, Jie Zhou",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Tang_Deep_Progressive_Reinforcement_CVPR_2018_paper.pdf",
        "aff": "Department of Automation, Tsinghua University, China; Department of Automation, Tsinghua University, China; State Key Lab of Intelligent Technologies and Systems, Tsinghua University, China; Beijing National Research Center for Information Science and Technology, China",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Deep Regression Forests for Age Estimation",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Shen_Deep_Regression_Forests_CVPR_2018_paper.html",
        "author": "Wei Shen, Yilu Guo, Yan Wang, Kai Zhao, Bo Wang, Alan L. Yuille",
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        "aff": "Key Laboratory of Specialty Fiber Optics and Optical Access Networks, Shanghai Institute for Advanced Communication and Data Science, School of Communication and Information Engineering, Shanghai University; Department of Computer Science, Johns Hopkins University; Hikvision Research; College of Computer and Control Engineering, Nankai University",
        "project": "",
        "github": "",
        "arxiv": "1712.07195v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Deep Reinforcement Learning of Region Proposal Networks for Object Detection",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Pirinen_Deep_Reinforcement_Learning_CVPR_2018_paper.html",
        "author": "Aleksis Pirinen, Cristian Sminchisescu",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Pirinen_Deep_Reinforcement_Learning_CVPR_2018_paper.pdf",
        "aff": "Department of Mathematics, Faculty of Engineering, Lund University; Institute of Mathematics of the Romanian Academy",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Deep Semantic Face Deblurring",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Shen_Deep_Semantic_Face_CVPR_2018_paper.html",
        "author": "Ziyi Shen, Wei-Sheng Lai, Tingfa Xu, Jan Kautz, Ming-Hsuan Yang",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Shen_Deep_Semantic_Face_CVPR_2018_paper.pdf",
        "aff": "University of California, Merced; Nvidia; Beijing Institute of Technology; Google Cloud",
        "project": "https://sites.google.com/site/ziyishenmi/cvpr18_face_deblur",
        "github": "",
        "arxiv": "1803.03345v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Deep Sparse Coding for Invariant Multimodal Halle Berry Neurons",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Kim_Deep_Sparse_Coding_CVPR_2018_paper.html",
        "author": "Edward Kim, Darryl Hannan, Garrett Kenyon",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Kim_Deep_Sparse_Coding_CVPR_2018_paper.pdf",
        "aff": "Los Alamos National Laboratory, Los Alamos, NM; Department of Computing Sciences, Villanova University, PA",
        "project": "",
        "github": "",
        "arxiv": "1711.07998v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Deep Spatial Feature Reconstruction for Partial Person Re-Identification: Alignment-Free Approach",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/He_Deep_Spatial_Feature_CVPR_2018_paper.html",
        "author": "Lingxiao He, Jian Liang, Haiqing Li, Zhenan Sun",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/He_Deep_Spatial_Feature_CVPR_2018_paper.pdf",
        "aff": "CRIPAC & NLPR, CASIA, University of Chinese Academy of Sciences, Beijing, P.R. China, Center for Excellence in Brain Science and Intelligence Technology, CAS; CRIPAC & NLPR, CASIA, University of Chinese Academy of Sciences, Beijing, P.R. China",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1801.00881",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Deep Spatio-Temporal Random Fields for Efficient Video Segmentation",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Chandra_Deep_Spatio-Temporal_Random_CVPR_2018_paper.html",
        "author": "Siddhartha Chandra, Camille Couprie, Iasonas Kokkinos",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Chandra_Deep_Spatio-Temporal_Random_CVPR_2018_paper.pdf",
        "aff": "Facebook AI Research, Paris; INRIA GALEN, Ecole CentraleSup \u00b4elec Paris",
        "project": "",
        "github": "https://github.com/siddharthachandra/gcrf-v3.0",
        "arxiv": "1807.03148v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Deep Texture Manifold for Ground Terrain Recognition",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Xue_Deep_Texture_Manifold_CVPR_2018_paper.html",
        "author": "Jia Xue, Hang Zhang, Kristin Dana",
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        "aff": "Department of Electrical and Computer Engineering, Rutgers University; Department of Electrical and Computer Engineering, Rutgers University, Amazon AI",
        "project": "http://ece.rutgers.edu/vision/",
        "github": "Not provided",
        "arxiv": "1803.10896v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Deep Unsupervised Saliency Detection: A Multiple Noisy Labeling Perspective",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Zhang_Deep_Unsupervised_Saliency_CVPR_2018_paper.html",
        "author": "Jing Zhang, Tong Zhang, Yuchao Dai, Mehrtash Harandi, Richard Hartley",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Zhang_Deep_Unsupervised_Saliency_CVPR_2018_paper.pdf",
        "aff": "Australian National University, Canberra, Australia; DATA61, CSIRO, Canberra, Australia; Australian National University, Canberra, Australia; Northwestern Polytechnical University, Xi'an, China",
        "project": "",
        "github": "",
        "arxiv": "1803.10910v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Deep Video Super-Resolution Network Using Dynamic Upsampling Filters Without Explicit Motion Compensation",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Jo_Deep_Video_Super-Resolution_CVPR_2018_paper.html",
        "author": "Younghyun Jo, Seoung Wug Oh, Jaeyeon Kang, Seon Joo Kim",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Jo_Deep_Video_Super-Resolution_CVPR_2018_paper.pdf",
        "aff": "Yonsei University",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "DeepMVS: Learning Multi-View Stereopsis",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Huang_DeepMVS_Learning_Multi-View_CVPR_2018_paper.html",
        "author": "Po-Han Huang, Kevin Matzen, Johannes Kopf, Narendra Ahuja, Jia-Bin Huang",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Huang_DeepMVS_Learning_Multi-View_CVPR_2018_paper.pdf",
        "aff": "University of Illinois, Urbana-Champaign; Facebook; Virginia Tech",
        "project": "",
        "github": "",
        "arxiv": "1804.00650v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "DeepVoting: A Robust and Explainable Deep Network for Semantic Part Detection Under Partial Occlusion",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Zhang_DeepVoting_A_Robust_CVPR_2018_paper.html",
        "author": "Zhishuai Zhang, Cihang Xie, Jianyu Wang, Lingxi Xie, Alan L. Yuille",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Zhang_DeepVoting_A_Robust_CVPR_2018_paper.pdf",
        "aff": "Johns Hopkins University; Baidu Research USA",
        "project": "",
        "github": "",
        "arxiv": "1709.04577v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Deeply Learned Filter Response Functions for Hyperspectral Reconstruction",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Nie_Deeply_Learned_Filter_CVPR_2018_paper.html",
        "author": "Shijie Nie, Lin Gu, Yinqiang Zheng, Antony Lam, Nobutaka Ono, Imari Sato",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Nie_Deeply_Learned_Filter_CVPR_2018_paper.pdf",
        "aff": "Saitama University; National Institute of Informatics; Tokyo Metropolitan University",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Defense Against Adversarial Attacks Using High-Level Representation Guided Denoiser",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Liao_Defense_Against_Adversarial_CVPR_2018_paper.html",
        "author": "Fangzhou Liao, Ming Liang, Yinpeng Dong, Tianyu Pang, Xiaolin Hu, Jun Zhu",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Liao_Defense_Against_Adversarial_CVPR_2018_paper.pdf",
        "aff": "Department of Computer Science and Technology, Tsinghua Lab of Brain and Intelligence, Beijing National Research Center for Information Science and Technology, BNRist Lab, Tsinghua University, 100084 China",
        "project": "",
        "github": "https://github.com/lfz/Guided-Denoise",
        "arxiv": "1712.02976v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Defense Against Universal Adversarial Perturbations",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Akhtar_Defense_Against_Universal_CVPR_2018_paper.html",
        "author": "Naveed Akhtar, Jian Liu, Ajmal Mian",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Akhtar_Defense_Against_Universal_CVPR_2018_paper.pdf",
        "aff": "Computer Science and Software Engineering, The University of Western Australia",
        "project": "",
        "github": "",
        "arxiv": "1711.05929v3",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Deflecting Adversarial Attacks With Pixel Deflection",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Prakash_Deflecting_Adversarial_Attacks_CVPR_2018_paper.html",
        "author": "Aaditya Prakash, Nick Moran, Solomon Garber, Antonella DiLillo, James Storer",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Prakash_Deflecting_Adversarial_Attacks_CVPR_2018_paper.pdf",
        "aff": "Brandeis University",
        "project": "",
        "github": "github.com/iamaaditya/pixel-de\ufb02ection",
        "arxiv": "1801.08926v3",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Defocus Blur Detection via Multi-Stream Bottom-Top-Bottom Fully Convolutional Network",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Zhao_Defocus_Blur_Detection_CVPR_2018_paper.html",
        "author": "Wenda Zhao, Fan Zhao, Dong Wang, Huchuan Lu",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Zhao_Defocus_Blur_Detection_CVPR_2018_paper.pdf",
        "aff": "Dalian University of Technology, China; Dalian Institute of Chemical Physics, Chinese Academy of Sciences, China",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Deformable GANs for Pose-Based Human Image Generation",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Siarohin_Deformable_GANs_for_CVPR_2018_paper.html",
        "author": "Aliaksandr Siarohin, Enver Sangineto, St\u00e9phane Lathuili\u00e8re, Nicu Sebe",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Siarohin_Deformable_GANs_for_CVPR_2018_paper.pdf",
        "aff": "DISI, University of Trento, Italy; Inria Grenoble Rhone-Alpes, France",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1801.00055",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Deformable Shape Completion With Graph Convolutional Autoencoders",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Litany_Deformable_Shape_Completion_CVPR_2018_paper.html",
        "author": "Or Litany, Alex Bronstein, Michael Bronstein, Ameesh Makadia",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Litany_Deformable_Shape_Completion_CVPR_2018_paper.pdf",
        "aff": "Tel Aviv University; USI Lugano; Google Research",
        "project": "",
        "github": "",
        "arxiv": "1712.00268v4",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Deformation Aware Image Compression",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Shaham_Deformation_Aware_Image_CVPR_2018_paper.html",
        "author": "Tamar Rott Shaham, Tomer Michaeli",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Shaham_Deformation_Aware_Image_CVPR_2018_paper.pdf",
        "aff": "Technion\u2014Israel Institute of Technology, Haifa, Israel",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1804.04593",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Demo2Vec: Reasoning Object Affordances From Online Videos",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Fang_Demo2Vec_Reasoning_Object_CVPR_2018_paper.html",
        "author": "Kuan Fang, Te-Lin Wu, Daniel Yang, Silvio Savarese, Joseph J. Lim",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Fang_Demo2Vec_Reasoning_Object_CVPR_2018_paper.pdf",
        "aff": "Stanford University; University of Southern California",
        "project": "https://sites.google.com/view/demo2vec/",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Dense 3D Regression for Hand Pose Estimation",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Wan_Dense_3D_Regression_CVPR_2018_paper.html",
        "author": "Chengde Wan, Thomas Probst, Luc Van Gool, Angela Yao",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Wan_Dense_3D_Regression_CVPR_2018_paper.pdf",
        "aff": "ETH Z\u00fcrich; University of Bonn; ETH Z\u00fcrich/KU Leuven",
        "project": "",
        "github": "https://github.com/melonwan/denseReg",
        "arxiv": "1711.08996v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Dense Decoder Shortcut Connections for Single-Pass Semantic Segmentation",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Bilinski_Dense_Decoder_Shortcut_CVPR_2018_paper.html",
        "author": "Piotr Bilinski, Victor Prisacariu",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Bilinski_Dense_Decoder_Shortcut_CVPR_2018_paper.pdf",
        "aff": "University of Oxford",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "DenseASPP for Semantic Segmentation in Street Scenes",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Yang_DenseASPP_for_Semantic_CVPR_2018_paper.html",
        "author": "Maoke Yang, Kun Yu, Chi Zhang, Zhiwei Li, Kuiyuan Yang",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Yang_DenseASPP_for_Semantic_CVPR_2018_paper.pdf",
        "aff": "DeepMotion",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "DensePose: Dense Human Pose Estimation in the Wild",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Guler_DensePose_Dense_Human_CVPR_2018_paper.html",
        "author": "R\u0131za Alp G\u00fcler, Natalia Neverova, Iasonas Kokkinos",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Guler_DensePose_Dense_Human_CVPR_2018_paper.pdf",
        "aff": "INRIA-CentraleSup\u00e9lec; Facebook AI Research",
        "project": "http://densepose.org",
        "github": "",
        "arxiv": "arXiv:1802.00434",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Densely Connected Pyramid Dehazing Network",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Zhang_Densely_Connected_Pyramid_CVPR_2018_paper.html",
        "author": "He Zhang, Vishal M. Patel",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Zhang_Densely_Connected_Pyramid_CVPR_2018_paper.pdf",
        "aff": "Department of Electrical and Computer Engineering, Rutgers University, Piscataway, NJ 08854",
        "project": "",
        "github": "https://github.com/hezhangsprinter/DCPDN",
        "arxiv": "arXiv:1803.08396",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Density Adaptive Point Set Registration",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Lawin_Density_Adaptive_Point_CVPR_2018_paper.html",
        "author": "Felix J\u00e4remo Lawin, Martin Danelljan, Fahad Shahbaz Khan, Per-Erik Forss\u00e9n, Michael Felsberg",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Lawin_Density_Adaptive_Point_CVPR_2018_paper.pdf",
        "aff": "Computer Vision Laboratory, Department of Electrical Engineering, Link \u00a8oping University, Sweden",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1804.01495",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Density-Aware Single Image De-Raining Using a Multi-Stream Dense Network",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Zhang_Density-Aware_Single_Image_CVPR_2018_paper.html",
        "author": "He Zhang, Vishal M. Patel",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Zhang_Density-Aware_Single_Image_CVPR_2018_paper.pdf",
        "aff": "Department of Electrical and Computer Engineering, Rutgers University, Piscataway, NJ 08854",
        "project": "",
        "github": "https://github.com/hezhangsprinter/DID-MDN",
        "arxiv": "arXiv:1802.07412",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Depth and Transient Imaging With Compressive SPAD Array Cameras",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Sun_Depth_and_Transient_CVPR_2018_paper.html",
        "author": "Qilin Sun, Xiong Dun, Yifan Peng, Wolfgang Heidrich",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Sun_Depth_and_Transient_CVPR_2018_paper.pdf",
        "aff": "University of British Columbia; KAUST",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Depth-Aware Stereo Video Retargeting",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Li_Depth-Aware_Stereo_Video_CVPR_2018_paper.html",
        "author": "Bing Li, Chia-Wen Lin, Boxin Shi, Tiejun Huang, Wen Gao, C.-C. Jay Kuo",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Li_Depth-Aware_Stereo_Video_CVPR_2018_paper.pdf",
        "aff": "National Engineering Lab for Video Technology, School of EECS, Peking University, China; Department of Electrical Engineering, National Tsing Hua University, Hsinchu, Taiwan; University of Southern California, Los Angeles, California, USA",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Depth-Based 3D Hand Pose Estimation: From Current Achievements to Future Goals",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Yuan_Depth-Based_3D_Hand_CVPR_2018_paper.html",
        "author": "Shanxin Yuan, Guillermo Garcia-Hernando, Bj\u00f6rn Stenger, Gyeongsik Moon, Ju Yong Chang, Kyoung Mu Lee, Pavlo Molchanov, Jan Kautz, Sina Honari, Liuhao Ge, Junsong Yuan, Xinghao Chen, Guijin Wang, Fan Yang, Kai Akiyama, Yang Wu, Qingfu Wan, Meysam Madadi, Sergio Escalera, Shile Li, Dongheui Lee, Iason Oikonomidis, Antonis Argyros, Tae-Kyun Kim",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Yuan_Depth-Based_3D_Hand_CVPR_2018_paper.pdf",
        "aff": "Rakuten Institute of Technology; Kwangwoon University; Nara Institute of Science and Technology; Technical University of Munich; Nanyang Technological University; Computer Vision Center, University of Barcelona; Technical University of Munich, German Aerospace Center; University of Crete and FORTH; Tsinghua University; State University of New York at Buffalo; Fudan University; University of Montreal; Seoul National University; Imperial College London; NVIDIA; Computer Vision Center",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1712.03917",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Detach and Adapt: Learning Cross-Domain Disentangled Deep Representation",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Liu_Detach_and_Adapt_CVPR_2018_paper.html",
        "author": "Yen-Cheng Liu, Yu-Ying Yeh, Tzu-Chien Fu, Sheng-De Wang, Wei-Chen Chiu, Yu-Chiang Frank Wang",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Liu_Detach_and_Adapt_CVPR_2018_paper.pdf",
        "aff": "Department of Electrical Engineering, National Taiwan University, Taiwan; Department of Electrical Engineering & Computer Science, Northwestern University, USA; Department of Computer Science, National Chiao Tung University, Taiwan",
        "project": "",
        "github": "",
        "arxiv": "1705.01314v4",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Detail-Preserving Pooling in Deep Networks",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Saeedan_Detail-Preserving_Pooling_in_CVPR_2018_paper.html",
        "author": "Faraz Saeedan, Nicolas Weber, Michael Goesele, Stefan Roth",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Saeedan_Detail-Preserving_Pooling_in_CVPR_2018_paper.pdf",
        "aff": "TU Darmstadt, NEC Laboratories Europe; TU Darmstadt; TU Darmstadt, Oculus Research",
        "project": "",
        "github": "",
        "arxiv": "1804.04076v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Detect Globally, Refine Locally: A Novel Approach to Saliency Detection",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Wang_Detect_Globally_Refine_CVPR_2018_paper.html",
        "author": "Tiantian Wang, Lihe Zhang, Shuo Wang, Huchuan Lu, Gang Yang, Xiang Ruan, Ali Borji",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Wang_Detect_Globally_Refine_CVPR_2018_paper.pdf",
        "aff": "Dalian University of Technology; University of Central Florida, USA; Tiwaki Co., Ltd; Northeastern University, China",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Detect-and-Track: Efficient Pose Estimation in Videos",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Girdhar_Detect-and-Track_Efficient_Pose_CVPR_2018_paper.html",
        "author": "Rohit Girdhar, Georgia Gkioxari, Lorenzo Torresani, Manohar Paluri, Du Tran",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Girdhar_Detect-and-Track_Efficient_Pose_CVPR_2018_paper.pdf",
        "aff": "The Robotics Institute, Carnegie Mellon University; Facebook; Dartmouth College",
        "project": "https://rohitgirdhar.github.io/DetectAndTrack",
        "github": "https://github.com/rohitgirdhar/DetectAndTrack",
        "arxiv": "arXiv:1712.09184",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Detecting and Recognizing Human-Object Interactions",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Gkioxari_Detecting_and_Recognizing_CVPR_2018_paper.html",
        "author": "Georgia Gkioxari, Ross Girshick, Piotr Doll\u00e1r, Kaiming He",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Gkioxari_Detecting_and_Recognizing_CVPR_2018_paper.pdf",
        "aff": "Facebook AI Research (FAIR)",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1704.07333",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Differential Attention for Visual Question Answering",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Patro_Differential_Attention_for_CVPR_2018_paper.html",
        "author": "Badri Patro, Vinay P. Namboodiri",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Patro_Differential_Attention_for_CVPR_2018_paper.pdf",
        "aff": "IIT Kanpur",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1804.00298",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Dimensionality's Blessing: Clustering Images by Underlying Distribution",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Lin_Dimensionalitys_Blessing_Clustering_CVPR_2018_paper.html",
        "author": "Wen-Yan Lin, Siying Liu, Jian-Huang Lai, Yasuyuki Matsushita",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Lin_Dimensionalitys_Blessing_Clustering_CVPR_2018_paper.pdf",
        "aff": "Sun Yat-Sen University; Advanced Digital Sciences Center; Osaka University; Institute of Infocomm Research",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1804.02624",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Direct Shape Regression Networks for End-to-End Face Alignment",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Miao_Direct_Shape_Regression_CVPR_2018_paper.html",
        "author": "Xin Miao, Xiantong Zhen, Xianglong Liu, Cheng Deng, Vassilis Athitsos, Heng Huang",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Miao_Direct_Shape_Regression_CVPR_2018_paper.pdf",
        "aff": "University of Texas at Arlington, TX, USA; Beihang University, Beijing, China; Xidian University, Xi\u2019an, China; University of Pittsburgh, PA, USA",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Direction-Aware Spatial Context Features for Shadow Detection",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Hu_Direction-Aware_Spatial_Context_CVPR_2018_paper.html",
        "author": "Xiaowei Hu, Lei Zhu, Chi-Wing Fu, Jing Qin, Pheng-Ann Heng",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Hu_Direction-Aware_Spatial_Context_CVPR_2018_paper.pdf",
        "aff": "Centre for Smart Health, School of Nursing, The Hong Kong Polytechnic University; Department of Computer Science and Engineering, The Chinese University of Hong Kong; Guangdong Provincial Key Laboratory of Computer Vision and Virtual Reality Technology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1805.04635",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Discovering Point Lights With Intensity Distance Fields",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Zhang_Discovering_Point_Lights_CVPR_2018_paper.html",
        "author": "Edward Zhang, Michael F. Cohen, Brian Curless",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Zhang_Discovering_Point_Lights_CVPR_2018_paper.pdf",
        "aff": "University of Washington, Seattle, WA; Facebook, Inc., Seattle, WA",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Discrete-Continuous ADMM for Transductive Inference in Higher-Order MRFs",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Laude_Discrete-Continuous_ADMM_for_CVPR_2018_paper.html",
        "author": "Emanuel Laude, Jan-Hendrik Lange, Jonas Sch\u00fcpfer, Csaba Domokos, Laura Leal-Taix\u00e9, Frank R. Schmidt, Bjoern Andres, Daniel Cremers",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Laude_Discrete-Continuous_ADMM_for_CVPR_2018_paper.pdf",
        "aff": "Technical University of Munich; Max Planck Institute for Informatics, Saarbr\u00fccken; Bosch Center for Arti\ufb01cial Intelligence",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1705.05020",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Discriminability Objective for Training Descriptive Captions",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Luo_Discriminability_Objective_for_CVPR_2018_paper.html",
        "author": "Ruotian Luo, Brian Price, Scott Cohen, Gregory Shakhnarovich",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Luo_Discriminability_Objective_for_CVPR_2018_paper.pdf",
        "aff": "TTI-Chicago; Adobe Research",
        "project": "",
        "github": "",
        "arxiv": "1803.04376v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Discriminative Learning of Latent Features for Zero-Shot Recognition",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Li_Discriminative_Learning_of_CVPR_2018_paper.html",
        "author": "Yan Li, Junge Zhang, Jianguo Zhang, Kaiqi Huang",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Li_Discriminative_Learning_of_CVPR_2018_paper.pdf",
        "aff": "Computing, School of Science and Engineering, University of Dundee, UK; CRIPAC & NLPR, CASIA; University of Chinese Academy of Sciences; CAS Center for Excellence in Brain Science and Intelligence Technology; CRIPAC & NLPR, CASIA; University of Chinese Academy of Sciences",
        "project": "",
        "github": "",
        "arxiv": "1803.06731v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Disentangled Person Image Generation",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Ma_Disentangled_Person_Image_CVPR_2018_paper.html",
        "author": "Liqian Ma, Qianru Sun, Stamatios Georgoulis, Luc Van Gool, Bernt Schiele, Mario Fritz",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Ma_Disentangled_Person_Image_CVPR_2018_paper.pdf",
        "aff": "Max Planck Institute for Informatics, Saarland Informatics Campus; KU-Leuven/PSI, Toyota Motor Europe (TRACE), ETH Zurich; KU-Leuven/PSI, Toyota Motor Europe (TRACE)",
        "project": "http://homes.esat.kuleuven.be/~liqianma/CVPR18_DPIG/index.html",
        "github": "",
        "arxiv": "1712.02621v4",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Disentangling 3D Pose in a Dendritic CNN for Unconstrained 2D Face Alignment",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Kumar_Disentangling_3D_Pose_CVPR_2018_paper.html",
        "author": "Amit Kumar, Rama Chellappa",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Kumar_Disentangling_3D_Pose_CVPR_2018_paper.pdf",
        "aff": "Department of Electrical and Computer Engineering, CFAR and UMIACS, University of Maryland-College Park, USA",
        "project": "",
        "github": "",
        "arxiv": "1802.06713v3",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Disentangling Factors of Variation by Mixing Them",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Hu_Disentangling_Factors_of_CVPR_2018_paper.html",
        "author": "Qiyang Hu, Attila Szab\u00f3, Tiziano Portenier, Paolo Favaro, Matthias Zwicker",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Hu_Disentangling_Factors_of_CVPR_2018_paper.pdf",
        "aff": "University of Maryland, USA; University of Bern, Switzerland",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1711.07410",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Disentangling Features in 3D Face Shapes for Joint Face Reconstruction and Recognition",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Liu_Disentangling_Features_in_CVPR_2018_paper.html",
        "author": "Feng Liu, Ronghang Zhu, Dan Zeng, Qijun Zhao, Xiaoming Liu",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Liu_Disentangling_Features_in_CVPR_2018_paper.pdf",
        "aff": "Department of Computer Science and Engineering, Michigan State University; College of Computer Science, Sichuan University",
        "project": "",
        "github": "",
        "arxiv": "1803.11366v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Disentangling Structure and Aesthetics for Style-Aware Image Completion",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Gilbert_Disentangling_Structure_and_CVPR_2018_paper.html",
        "author": "Andrew Gilbert, John Collomosse, Hailin Jin, Brian Price",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Gilbert_Disentangling_Structure_and_CVPR_2018_paper.pdf",
        "aff": "Creative Intelligence Lab, Adobe Research; Centre for Vision Speech and Signal Processing, University of Surrey",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Distort-and-Recover: Color Enhancement Using Deep Reinforcement Learning",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Park_Distort-and-Recover_Color_Enhancement_CVPR_2018_paper.html",
        "author": "Jongchan Park, Joon-Young Lee, Donggeun Yoo, In So Kweon",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Park_Distort-and-Recover_Color_Enhancement_CVPR_2018_paper.pdf",
        "aff": "Adobe Research; Korea Advanced Institute of Science and Technology (KAIST); Lunit Inc.",
        "project": "https://sites.google.com/view/distort-and-recover/",
        "github": "",
        "arxiv": "arXiv:1804.04450",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Distributable Consistent Multi-Object Matching",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Hu_Distributable_Consistent_Multi-Object_CVPR_2018_paper.html",
        "author": "Nan Hu, Qixing Huang, Boris Thibert, Leonidas J. Guibas",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Hu_Distributable_Consistent_Multi-Object_CVPR_2018_paper.pdf",
        "aff": "Stanford University; UG Alpes; UT Austin",
        "project": "",
        "github": "",
        "arxiv": "1611.07191v3",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "DiverseNet: When One Right Answer Is Not Enough",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Firman_DiverseNet_When_One_CVPR_2018_paper.html",
        "author": "Michael Firman, Neill D. F. Campbell, Lourdes Agapito, Gabriel J. Brostow",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Firman_DiverseNet_When_One_CVPR_2018_paper.pdf",
        "aff": "University of Bath; University College London",
        "project": "http://visual.cs.ucl.ac.uk/pubs/DiverseNet",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Diversity Regularized Spatiotemporal Attention for Video-Based Person Re-Identification",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Li_Diversity_Regularized_Spatiotemporal_CVPR_2018_paper.html",
        "author": "Shuang Li, Slawomir Bak, Peter Carr, Xiaogang Wang",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Li_Diversity_Regularized_Spatiotemporal_CVPR_2018_paper.pdf",
        "aff": "CUHK-SenseTime Joint Lab, The Chinese University of Hong Kong; Argo AI",
        "project": "",
        "github": "",
        "arxiv": "1803.09882v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Divide and Conquer for Full-Resolution Light Field Deblurring",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Mohan_Divide_and_Conquer_CVPR_2018_paper.html",
        "author": "M. R. Mahesh Mohan, A. N. Rajagopalan",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Mohan_Divide_and_Conquer_CVPR_2018_paper.pdf",
        "aff": "Indian Institute of Technology Madras",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Divide and Grow: Capturing Huge Diversity in Crowd Images With Incrementally Growing CNN",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Sam_Divide_and_Grow_CVPR_2018_paper.html",
        "author": "Deepak Babu Sam, Neeraj N. Sajjan, R. Venkatesh Babu, Mukundhan Srinivasan",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Sam_Divide_and_Grow_CVPR_2018_paper.pdf",
        "aff": "Video Analytics Lab, Indian Institute of Science, Bangalore, India 560012; NVIDIA, Bangalore, India 560045",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1807.09993",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "DocUNet: Document Image Unwarping via a Stacked U-Net",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Ma_DocUNet_Document_Image_CVPR_2018_paper.html",
        "author": "Ke Ma, Zhixin Shu, Xue Bai, Jue Wang, Dimitris Samaras",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Ma_DocUNet_Document_Image_CVPR_2018_paper.pdf",
        "aff": "Stony Brook University; Megvii Inc.",
        "project": "http://www.cs.stonybrook.edu/~cvl/docunet.html",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Document Enhancement Using Visibility Detection",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Kligler_Document_Enhancement_Using_CVPR_2018_paper.html",
        "author": "Netanel Kligler, Sagi Katz, Ayellet Tal",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Kligler_Document_Enhancement_Using_CVPR_2018_paper.pdf",
        "aff": "Technion, Haifa, Israel",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Domain Adaptive Faster R-CNN for Object Detection in the Wild",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Chen_Domain_Adaptive_Faster_CVPR_2018_paper.html",
        "author": "Yuhua Chen, Wen Li, Christos Sakaridis, Dengxin Dai, Luc Van Gool",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Chen_Domain_Adaptive_Faster_CVPR_2018_paper.pdf",
        "aff": "Computer Vision Lab, ETH Zurich and VISICS, ESAT/PSI, KU Leuven; Computer Vision Lab, ETH Zurich",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1803.03243",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Domain Generalization With Adversarial Feature Learning",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Li_Domain_Generalization_With_CVPR_2018_paper.html",
        "author": "Haoliang Li, Sinno Jialin Pan, Shiqi Wang, Alex C. Kot",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Li_Domain_Generalization_With_CVPR_2018_paper.pdf",
        "aff": "School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore; Department of Computer Science, City University of Hong Kong, China; School of Computer Science and Engineering, Nanyang Technological University, Singapore",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Don't Just Assume; Look and Answer: Overcoming Priors for Visual Question Answering",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Agrawal_Dont_Just_Assume_CVPR_2018_paper.html",
        "author": "Aishwarya Agrawal, Dhruv Batra, Devi Parikh, Aniruddha Kembhavi",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Agrawal_Dont_Just_Assume_CVPR_2018_paper.pdf",
        "aff": "Georgia Institute of Technology; Allen Institute for Arti\ufb01cial Intelligence; Georgia Institute of Technology, Facebook AI Research",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1712.00377",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "DoubleFusion: Real-Time Capture of Human Performances With Inner Body Shapes From a Single Depth Sensor",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Yu_DoubleFusion_Real-Time_Capture_CVPR_2018_paper.html",
        "author": "Tao Yu, Zerong Zheng, Kaiwen Guo, Jianhui Zhao, Qionghai Dai, Hao Li, Gerard Pons-Moll, Yebin Liu",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Yu_DoubleFusion_Real-Time_Capture_CVPR_2018_paper.pdf",
        "aff": "Beijing National Research Center for Information Science and Technology (BNRist); Google Inc; Beihang University, Beijing, China; University of Southern California / USC Institute for Creative Technologies; Tsinghua University, Beijing, China; Max-Planck-Institute for Informatics, Saarland Informatics Campus",
        "project": "",
        "github": "",
        "arxiv": "1804.06023v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Dual Attention Matching Network for Context-Aware Feature Sequence Based Person Re-Identification",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Si_Dual_Attention_Matching_CVPR_2018_paper.html",
        "author": "Jianlou Si, Honggang Zhang, Chun-Guang Li, Jason Kuen, Xiangfei Kong, Alex C. Kot, Gang Wang",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Si_Dual_Attention_Matching_CVPR_2018_paper.pdf",
        "aff": "Alibaba AI Labs, Hangzhou, China; Beijing University of Posts and Telecommunications, Beijing, China; Nanyang Technological University, Singapore",
        "project": "",
        "github": "",
        "arxiv": "1803.09937v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Dual Skipping Networks",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Cheng_Dual_Skipping_Networks_CVPR_2018_paper.html",
        "author": "Changmao Cheng, Yanwei Fu, Yu-Gang Jiang, Wei Liu, Wenlian Lu, Jianfeng Feng, Xiangyang Xue",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Cheng_Dual_Skipping_Networks_CVPR_2018_paper.pdf",
        "aff": "Tencent AI Lab; School of Computer Science, Fudan University; ISTBI, Fudan University; School of Data Science, Fudan University",
        "project": "",
        "github": "",
        "arxiv": "1710.10386v3",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Duplex Generative Adversarial Network for Unsupervised Domain Adaptation",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Hu_Duplex_Generative_Adversarial_CVPR_2018_paper.html",
        "author": "Lanqing Hu, Meina Kan, Shiguang Shan, Xilin Chen",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Hu_Duplex_Generative_Adversarial_CVPR_2018_paper.pdf",
        "aff": "Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing 100190, China and University of Chinese Academy of Sciences, Beijing 100049, China; Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing 100190, China; Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing 100190, China and CAS Center for Excellence in Brain Science and Intelligence Technology",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Dynamic Feature Learning for Partial Face Recognition",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/He_Dynamic_Feature_Learning_CVPR_2018_paper.html",
        "author": "Lingxiao He, Haiqing Li, Qi Zhang, Zhenan Sun",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/He_Dynamic_Feature_Learning_CVPR_2018_paper.pdf",
        "aff": "CRIPAC & NLPR, CASIA, University of Chinese Academy of Sciences, Beijing, P.R. China, Center for Excellence in Brain Science and Intelligence Technology, CAS; CRIPAC & NLPR, CASIA, University of Chinese Academy of Sciences, Beijing, P.R. China",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Dynamic Few-Shot Visual Learning Without Forgetting",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Gidaris_Dynamic_Few-Shot_Visual_CVPR_2018_paper.html",
        "author": "Spyros Gidaris, Nikos Komodakis",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Gidaris_Dynamic_Few-Shot_Visual_CVPR_2018_paper.pdf",
        "aff": "University Paris-Est, LIGM, Ecole des Ponts ParisTech",
        "project": "",
        "github": "",
        "arxiv": "1804.09458v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Dynamic Graph Generation Network: Generating Relational Knowledge From Diagrams",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Kim_Dynamic_Graph_Generation_CVPR_2018_paper.html",
        "author": "Daesik Kim, YoungJoon Yoo, Jee-Soo Kim, SangKuk Lee, Nojun Kwak",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Kim_Dynamic_Graph_Generation_CVPR_2018_paper.pdf",
        "aff": "Seoul National University, V .DO Inc.; Clova AI Research, NA VER Corp.; Seoul National University",
        "project": "",
        "github": "",
        "arxiv": "1711.09528v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Dynamic Scene Deblurring Using Spatially Variant Recurrent Neural Networks",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Zhang_Dynamic_Scene_Deblurring_CVPR_2018_paper.html",
        "author": "Jiawei Zhang, Jinshan Pan, Jimmy Ren, Yibing Song, Linchao Bao, Rynson W.H. Lau, Ming-Hsuan Yang",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Zhang_Dynamic_Scene_Deblurring_CVPR_2018_paper.pdf",
        "aff": "Tencent AI Lab; School of Computer Science and Engineering, Nanjing University of Science and Technology; Department of Computer Science, City University of Hong Kong; SenseTime Research; Electrical Engineering and Computer Science, University of California, Merced; Department of Computer Science, City University of Hong Kong; SenseTime Research",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Dynamic Video Segmentation Network",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Xu_Dynamic_Video_Segmentation_CVPR_2018_paper.html",
        "author": "Yu-Syuan Xu, Tsu-Jui Fu, Hsuan-Kung Yang, Chun-Yi Lee",
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        "project": "",
        "github": "",
        "arxiv": "1804.00931v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Dynamic Zoom-In Network for Fast Object Detection in Large Images",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Gao_Dynamic_Zoom-In_Network_CVPR_2018_paper.html",
        "author": "Mingfei Gao, Ruichi Yu, Ang Li, Vlad I. Morariu, Larry S. Davis",
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        "aff": "DeepMind; Adobe Research; University of Maryland, College Park",
        "project": "",
        "github": "",
        "arxiv": "1711.05187v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Dynamic-Structured Semantic Propagation Network",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Liang_Dynamic-Structured_Semantic_Propagation_CVPR_2018_paper.html",
        "author": "Xiaodan Liang, Hongfei Zhou, Eric Xing",
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        "aff": "Wumii Tech. Limited; Carnegie Mellon University; Petuum Inc",
        "project": "",
        "github": "",
        "arxiv": "1803.06067v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "EPINET: A Fully-Convolutional Neural Network Using Epipolar Geometry for Depth From Light Field Images",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Shin_EPINET_A_Fully-Convolutional_CVPR_2018_paper.html",
        "author": "Changha Shin, Hae-Gon Jeon, Youngjin Yoon, In So Kweon, Seon Joo Kim",
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        "aff": "KAIST; Yonsei University",
        "project": "",
        "github": "",
        "arxiv": "1804.02379v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Easy Identification From Better Constraints: Multi-Shot Person Re-Identification From Reference Constraints",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Zhou_Easy_Identification_From_CVPR_2018_paper.html",
        "author": "Jiahuan Zhou, Bing Su, Ying Wu",
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        "aff": "Institute of Software, Chinese Academy of Science, China; Electrical Engineering and Computer Science, Northwestern University, US",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Edit Probability for Scene Text Recognition",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Bai_Edit_Probability_for_CVPR_2018_paper.html",
        "author": "Fan Bai, Zhanzhan Cheng, Yi Niu, Shiliang Pu, Shuigeng Zhou",
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        "aff": "Hikvision Research Institute, China; Shanghai Key Lab of Intelligent Information Processing, and School of Computer Science, Fudan University, Shanghai 200433, China",
        "project": "",
        "github": "",
        "arxiv": "1805.03384v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Efficient Diverse Ensemble for Discriminative Co-Tracking",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Meshgi_Efficient_Diverse_Ensemble_CVPR_2018_paper.html",
        "author": "Kourosh Meshgi, Shigeyuki Oba, Shin Ishii",
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        "aff": "Graduate School of Informatics, Kyoto University",
        "project": "",
        "github": "",
        "arxiv": "1711.06564v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Efficient Interactive Annotation of Segmentation Datasets With Polygon-RNN++",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Acuna_Efficient_Interactive_Annotation_CVPR_2018_paper.html",
        "author": "David Acuna, Huan Ling, Amlan Kar, Sanja Fidler",
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        "aff": "University of Toronto, Vector Institute; University of Toronto, NVIDIA\u2020",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1803.09693",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Efficient Large-Scale Approximate Nearest Neighbor Search on OpenCL FPGA",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Zhang_Efficient_Large-Scale_Approximate_CVPR_2018_paper.html",
        "author": "Jialiang Zhang, Soroosh Khoram, Jing Li",
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        "aff": "UW-Madison",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Efficient Optimization for Rank-Based Loss Functions",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Mohapatra_Efficient_Optimization_for_CVPR_2018_paper.html",
        "author": "Pritish Mohapatra, Michal Rol\u00ednek, C.V. Jawahar, Vladimir Kolmogorov, M. Pawan Kumar",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Mohapatra_Efficient_Optimization_for_CVPR_2018_paper.pdf",
        "aff": "IST Austria; IIIT Hyderabad; University of Oxford, Alan Turing Institute; MPI T \u00a8ubingen",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1604.08269",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Efficient Parametrization of Multi-Domain Deep Neural Networks",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Rebuffi_Efficient_Parametrization_of_CVPR_2018_paper.html",
        "author": "Sylvestre-Alvise Rebuffi, Hakan Bilen, Andrea Vedaldi",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Rebuffi_Efficient_Parametrization_of_CVPR_2018_paper.pdf",
        "aff": "Visual Geometry Group, University of Oxford; School of Informatics, University of Edinburgh",
        "project": "",
        "github": "",
        "arxiv": "1803.10082v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Efficient Subpixel Refinement With Symbolic Linear Predictors",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Lui_Efficient_Subpixel_Refinement_CVPR_2018_paper.html",
        "author": "Vincent Lui, Jonathon Geeves, Winston Yii, Tom Drummond",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Lui_Efficient_Subpixel_Refinement_CVPR_2018_paper.pdf",
        "aff": "Department of Electrical and Computer Systems Engineering, Monash University, Victoria, Australia",
        "project": "",
        "github": "",
        "arxiv": "1804.10750v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Efficient Video Object Segmentation via Network Modulation",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Yang_Efficient_Video_Object_CVPR_2018_paper.html",
        "author": "Linjie Yang, Yanran Wang, Xuehan Xiong, Jianchao Yang, Aggelos K. Katsaggelos",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Yang_Efficient_Video_Object_CVPR_2018_paper.pdf",
        "aff": "Northwestern University; Google Inc.; Snap Inc.",
        "project": "",
        "github": "https://github.com/linjieyangsc/video_seg",
        "arxiv": "1802.01218v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Efficient and Deep Person Re-Identification Using Multi-Level Similarity",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Guo_Efficient_and_Deep_CVPR_2018_paper.html",
        "author": "Yiluan Guo, Ngai-Man Cheung",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Guo_Efficient_and_Deep_CVPR_2018_paper.pdf",
        "aff": "ST Electronics - SUTD Cyber Security Laboratory, Singapore University of Technology and Design; Singapore University of Technology and Design",
        "project": "",
        "github": "",
        "arxiv": "1803.11353v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Efficient, Sparse Representation of Manifold Distance Matrices for Classical Scaling",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Turek_Efficient_Sparse_Representation_CVPR_2018_paper.html",
        "author": "Javier S. Turek, Alexander G. Huth",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Turek_Efficient_Sparse_Representation_CVPR_2018_paper.pdf",
        "aff": "Departments of Computer Science & Neuroscience, The University of Texas at Austin; Intel Labs, Hillsboro, Oregon",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
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    {
        "title": "Egocentric Activity Recognition on a Budget",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Possas_Egocentric_Activity_Recognition_CVPR_2018_paper.html",
        "author": "Rafael Possas, Sheila Pinto Caceres, Fabio Ramos",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Possas_Egocentric_Activity_Recognition_CVPR_2018_paper.pdf",
        "aff": "School of Information Technologies, University of Sydney",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Egocentric Basketball Motion Planning From a Single First-Person Image",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Bertasius_Egocentric_Basketball_Motion_CVPR_2018_paper.html",
        "author": "Gedas Bertasius, Aaron Chan, Jianbo Shi",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Bertasius_Egocentric_Basketball_Motion_CVPR_2018_paper.pdf",
        "aff": "University of Pennsylvania; University of Southern California",
        "project": "",
        "github": "",
        "arxiv": "1803.01413v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Eliminating Background-Bias for Robust Person Re-Identification",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Tian_Eliminating_Background-Bias_for_CVPR_2018_paper.html",
        "author": "Maoqing Tian, Shuai Yi, Hongsheng Li, Shihua Li, Xuesen Zhang, Jianping Shi, Junjie Yan, Xiaogang Wang",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Tian_Eliminating_Background-Bias_for_CVPR_2018_paper.pdf",
        "aff": "Chinese University of Hong Kong; Shenzhen Municipal Public Security Bureau; SenseTime Research",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
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    },
    {
        "title": "Embodied Question Answering",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Das_Embodied_Question_Answering_CVPR_2018_paper.html",
        "author": "Abhishek Das, Samyak Datta, Georgia Gkioxari, Stefan Lee, Devi Parikh, Dhruv Batra",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Das_Embodied_Question_Answering_CVPR_2018_paper.pdf",
        "aff": "Georgia Institute of Technology; Facebook AI Research",
        "project": "embodiedqa.org",
        "github": "",
        "arxiv": "arXiv:1711.11543",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Emotional Attention: A Study of Image Sentiment and Visual Attention",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Fan_Emotional_Attention_A_CVPR_2018_paper.html",
        "author": "Shaojing Fan, Zhiqi Shen, Ming Jiang, Bryan L. Koenig, Juan Xu, Mohan S. Kankanhalli, Qi Zhao",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Fan_Emotional_Attention_A_CVPR_2018_paper.pdf",
        "aff": "National University of Singapore; Southern Utah University; University of Minnesota",
        "project": "https://nus-sesame.top/emotionalattention/",
        "github": "",
        "arxiv": "",
        "track": "main",
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    },
    {
        "title": "Empirical Study of the Topology and Geometry of Deep Networks",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Fawzi_Empirical_Study_of_CVPR_2018_paper.html",
        "author": "Alhussein Fawzi, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard, Stefano Soatto",
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        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
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    },
    {
        "title": "Encoding Crowd Interaction With Deep Neural Network for Pedestrian Trajectory Prediction",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Xu_Encoding_Crowd_Interaction_CVPR_2018_paper.html",
        "author": "Yanyu Xu, Zhixin Piao, Shenghua Gao",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Xu_Encoding_Crowd_Interaction_CVPR_2018_paper.pdf",
        "aff": "ShanghaiTech University",
        "project": "",
        "github": "",
        "arxiv": "",
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    {
        "title": "End-to-End Convolutional Semantic Embeddings",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/You_End-to-End_Convolutional_Semantic_CVPR_2018_paper.html",
        "author": "Quanzeng You, Zhengyou Zhang, Jiebo Luo",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/You_End-to-End_Convolutional_Semantic_CVPR_2018_paper.pdf",
        "aff": "University of Rochester; Microsoft; Tencent",
        "project": "",
        "github": "",
        "arxiv": "",
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    },
    {
        "title": "End-to-End Deep Kronecker-Product Matching for Person Re-Identification",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Shen_End-to-End_Deep_Kronecker-Product_CVPR_2018_paper.html",
        "author": "Yantao Shen, Tong Xiao, Hongsheng Li, Shuai Yi, Xiaogang Wang",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Shen_End-to-End_Deep_Kronecker-Product_CVPR_2018_paper.pdf",
        "aff": "CUHK-SenseTime Joint Lab, The Chinese University of Hong Kong; SenseTime Research",
        "project": "",
        "github": "",
        "arxiv": "1807.11182v1",
        "track": "main",
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    {
        "title": "End-to-End Dense Video Captioning With Masked Transformer",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Zhou_End-to-End_Dense_Video_CVPR_2018_paper.html",
        "author": "Luowei Zhou, Yingbo Zhou, Jason J. Corso, Richard Socher, Caiming Xiong",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Zhou_End-to-End_Dense_Video_CVPR_2018_paper.pdf",
        "aff": "University of Michigan; Salesforce Research",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1804.00819",
        "track": "main",
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    {
        "title": "End-to-End Flow Correlation Tracking With Spatial-Temporal Attention",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Zhu_End-to-End_Flow_Correlation_CVPR_2018_paper.html",
        "author": "Zheng Zhu, Wei Wu, Wei Zou, Junjie Yan",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Zhu_End-to-End_Flow_Correlation_CVPR_2018_paper.pdf",
        "aff": "SenseTime Group Limited; Institute of Automation, Chinese Academy of Sciences; University of Chinese Academy of Sciences; TianJin Intelligent Tech.Institute of CASIA Co.,Ltd; Institute of Automation, Chinese Academy of Sciences; University of Chinese Academy of Sciences",
        "project": "",
        "github": "",
        "arxiv": "1711.01124v4",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "End-to-End Learning of Keypoint Detector and Descriptor for Pose Invariant 3D Matching",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Georgakis_End-to-End_Learning_of_CVPR_2018_paper.html",
        "author": "Georgios Georgakis, Srikrishna Karanam, Ziyan Wu, Jan Ernst, Jana Ko\u0161eck\u00e1",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Georgakis_End-to-End_Learning_of_CVPR_2018_paper.pdf",
        "aff": "Department of Computer Science, George Mason University, Fairfax VA; Siemens Corporate Technology, Princeton NJ",
        "project": "",
        "github": "",
        "arxiv": "1802.07869v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "End-to-End Learning of Motion Representation for Video Understanding",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Fan_End-to-End_Learning_of_CVPR_2018_paper.html",
        "author": "Lijie Fan, Wenbing Huang, Chuang Gan, Stefano Ermon, Boqing Gong, Junzhou Huang",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Fan_End-to-End_Learning_of_CVPR_2018_paper.pdf",
        "aff": "Tencent AI Lab; Department of Computer Science, Stanford University; Tsinghua University, Beijing, China; MIT-Watson Lab",
        "project": "",
        "github": "",
        "arxiv": "1804.00413v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "End-to-End Recovery of Human Shape and Pose",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Kanazawa_End-to-End_Recovery_of_CVPR_2018_paper.html",
        "author": "Angjoo Kanazawa, Michael J. Black, David W. Jacobs, Jitendra Malik",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Kanazawa_End-to-End_Recovery_of_CVPR_2018_paper.pdf",
        "aff": "MPI for Intelligent Systems, T\u00fcbingen, Germany; University of Maryland, College Park; University of California, Berkeley",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1712.06584",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "End-to-End Weakly-Supervised Semantic Alignment",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Rocco_End-to-End_Weakly-Supervised_Semantic_CVPR_2018_paper.html",
        "author": "Ignacio Rocco, Relja Arandjelovi\u0107, Josef Sivic",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Rocco_End-to-End_Weakly-Supervised_Semantic_CVPR_2018_paper.pdf",
        "aff": "DI ENS, Inria; DeepMind; DI ENS, Inria, CIIRC, CTU in Prague",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1712.06861",
        "track": "main",
        "status": "Poster"
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    {
        "title": "Enhancing the Spatial Resolution of Stereo Images Using a Parallax Prior",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Jeon_Enhancing_the_Spatial_CVPR_2018_paper.html",
        "author": "Daniel S. Jeon, Seung-Hwan Baek, Inchang Choi, Min H. Kim",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Jeon_Enhancing_the_Spatial_CVPR_2018_paper.pdf",
        "aff": "Korea Advanced Institute of Science and Technology (KAIST)",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
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    {
        "title": "Environment Upgrade Reinforcement Learning for Non-Differentiable Multi-Stage Pipelines",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Xie_Environment_Upgrade_Reinforcement_CVPR_2018_paper.html",
        "author": "Shuqin Xie, Zitian Chen, Chao Xu, Cewu Lu",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Xie_Environment_Upgrade_Reinforcement_CVPR_2018_paper.pdf",
        "aff": "Shanghai Jiao Tong University, China; Fudan University, China",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
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    {
        "title": "Erase or Fill? Deep Joint Recurrent Rain Removal and Reconstruction in Videos",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Liu_Erase_or_Fill_CVPR_2018_paper.html",
        "author": "Jiaying Liu, Wenhan Yang, Shuai Yang, Zongming Guo",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Liu_Erase_or_Fill_CVPR_2018_paper.pdf",
        "aff": "Institute of Computer Science and Technology, Peking University, Beijing, P.R. China",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
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    {
        "title": "Estimation of Camera Locations in Highly Corrupted Scenarios: All About That Base, No Shape Trouble",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Shi_Estimation_of_Camera_CVPR_2018_paper.html",
        "author": "Yunpeng Shi, Gilad Lerman",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Shi_Estimation_of_Camera_CVPR_2018_paper.pdf",
        "aff": "University of Minnesota",
        "project": "",
        "github": "",
        "arxiv": "1804.02591v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Event-Based Vision Meets Deep Learning on Steering Prediction for Self-Driving Cars",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Maqueda_Event-Based_Vision_Meets_CVPR_2018_paper.html",
        "author": "Ana I. Maqueda, Antonio Loquercio, Guillermo Gallego, Narciso Garc\u00eda, Davide Scaramuzza",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Maqueda_Event-Based_Vision_Meets_CVPR_2018_paper.pdf",
        "aff": "Grupo de Tratamiento de Imagenes, Universidad Politecnica de Madrid, Spain; Dept. of Informatics and Neuroinformatics, University of Zurich and ETH Zurich, Switzerland",
        "project": "https://youtu.be/_r_bsjkJTHA",
        "github": "",
        "arxiv": "arXiv:1804.01310",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Every Smile Is Unique: Landmark-Guided Diverse Smile Generation",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Wang_Every_Smile_Is_CVPR_2018_paper.html",
        "author": "Wei Wang, Xavier Alameda-Pineda, Dan Xu, Pascal Fua, Elisa Ricci, Nicu Sebe",
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        "aff": "Inria, Grenoble-Alpes University, France; Department of Information Engineering and Computer Science (DISI), University of Trento, Italy and Fondazione Bruno Kessler (FBK), Italy; Computer Vision Laboratory, EPFL, Lausanne, Switzerland; Department of Information Engineering and Computer Science (DISI), University of Trento, Italy and Computer Vision Laboratory, EPFL, Lausanne, Switzerland; Department of Information Engineering and Computer Science (DISI), University of Trento, Italy",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1802.01873",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Excitation Backprop for RNNs",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Bargal_Excitation_Backprop_for_CVPR_2018_paper.html",
        "author": "Sarah Adel Bargal, Andrea Zunino, Donghyun Kim, Jianming Zhang, Vittorio Murino, Stan Sclaroff",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Bargal_Excitation_Backprop_for_CVPR_2018_paper.pdf",
        "aff": "Adobe Research; Department of Computer Science, Boston University; Computer Science Department, Universit`a di Verona; Pattern Analysis & Computer Vision (PA VIS), Istituto Italiano di Tecnologia",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1711.06778",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Explicit Loss-Error-Aware Quantization for Low-Bit Deep Neural Networks",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Zhou_Explicit_Loss-Error-Aware_Quantization_CVPR_2018_paper.html",
        "author": "Aojun Zhou, Anbang Yao, Kuan Wang, Yurong Chen",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Zhou_Explicit_Loss-Error-Aware_Quantization_CVPR_2018_paper.pdf",
        "aff": "Affiliation of the First Author; Affiliation of the Second Author",
        "project": "Project Link if Available",
        "github": "GitHub Link if Available",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Exploit the Unknown Gradually: One-Shot Video-Based Person Re-Identification by Stepwise Learning",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Wu_Exploit_the_Unknown_CVPR_2018_paper.html",
        "author": "Yu Wu, Yutian Lin, Xuanyi Dong, Yan Yan, Wanli Ouyang, Yi Yang",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Wu_Exploit_the_Unknown_CVPR_2018_paper.pdf",
        "aff": "SUSTech-UTS Joint Centre of CIS, Southern China University of Science and Technology; University of Technology Sydney; The University of Sydney",
        "project": "",
        "github": "https://yu-wu.net",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Exploiting Transitivity for Learning Person Re-Identification Models on a Budget",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Roy_Exploiting_Transitivity_for_CVPR_2018_paper.html",
        "author": "Sourya Roy, Sujoy Paul, Neal E. Young, Amit K. Roy-Chowdhury",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Roy_Exploiting_Transitivity_for_CVPR_2018_paper.pdf",
        "aff": "University of California, Riverside CA 92521",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Exploring Disentangled Feature Representation Beyond Face Identification",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Liu_Exploring_Disentangled_Feature_CVPR_2018_paper.html",
        "author": "Yu Liu, Fangyin Wei, Jing Shao, Lu Sheng, Junjie Yan, Xiaogang Wang",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Liu_Exploring_Disentangled_Feature_CVPR_2018_paper.pdf",
        "aff": "CUHK-SenseTime Joint Lab, The Chinese University of Hong Kong; SenseTime Group Limited",
        "project": "",
        "github": "",
        "arxiv": "1804.03487v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Extreme 3D Face Reconstruction: Seeing Through Occlusions",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Tran_Extreme_3D_Face_CVPR_2018_paper.html",
        "author": "Anh Tu\u1ea5n Tr\u1ea7n, Tal Hassner, Iacopo Masi, Eran Paz, Yuval Nirkin, G\u00e9rard Medioni",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Tran_Extreme_3D_Face_CVPR_2018_paper.pdf",
        "aff": "Information Sciences Institute, USC, CA, USA; Institute for Robotics and Intelligent Systems, USC, CA, USA; The Open University of Israel, Israel",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1712.05083",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Eye In-Painting With Exemplar Generative Adversarial Networks",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Dolhansky_Eye_In-Painting_With_CVPR_2018_paper.html",
        "author": "Brian Dolhansky, Cristian Canton Ferrer",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Dolhansky_Eye_In-Painting_With_CVPR_2018_paper.pdf",
        "aff": "Facebook Inc.",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1712.03999",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "FFNet: Video Fast-Forwarding via Reinforcement Learning",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Lan_FFNet_Video_Fast-Forwarding_CVPR_2018_paper.html",
        "author": "Shuyue Lan, Rameswar Panda, Qi Zhu, Amit K. Roy-Chowdhury",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Lan_FFNet_Video_Fast-Forwarding_CVPR_2018_paper.pdf",
        "aff": "Northwestern University; University of California, Riverside",
        "project": "",
        "github": "",
        "arxiv": "1805.02792v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "FOTS: Fast Oriented Text Spotting With a Unified Network",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Liu_FOTS_Fast_Oriented_CVPR_2018_paper.html",
        "author": "Xuebo Liu, Ding Liang, Shi Yan, Dagui Chen, Yu Qiao, Junjie Yan",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Liu_FOTS_Fast_Oriented_CVPR_2018_paper.pdf",
        "aff": "SenseTime Group Ltd.; Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences",
        "project": "",
        "github": "",
        "arxiv": "1801.01671v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "FSRNet: End-to-End Learning Face Super-Resolution With Facial Priors",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Chen_FSRNet_End-to-End_Learning_CVPR_2018_paper.html",
        "author": "Yu Chen, Ying Tai, Xiaoming Liu, Chunhua Shen, Jian Yang",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Chen_FSRNet_End-to-End_Learning_CVPR_2018_paper.pdf",
        "aff": "Nanjing University of Science and Technology; University of Adelaide; Youtu Lab, Tencent; Michigan State University",
        "project": "",
        "github": "https://github.com/tyshiwo/FSRNet",
        "arxiv": "1711.10703v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Face Aging With Identity-Preserved Conditional Generative Adversarial Networks",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Wang_Face_Aging_With_CVPR_2018_paper.html",
        "author": "Zongwei Wang, Xu Tang, Weixin Luo, Shenghua Gao",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Wang_Face_Aging_With_CVPR_2018_paper.pdf",
        "aff": "Baidu; Shanghaitech University",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "FaceID-GAN: Learning a Symmetry Three-Player GAN for Identity-Preserving Face Synthesis",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Shen_FaceID-GAN_Learning_a_CVPR_2018_paper.html",
        "author": "Yujun Shen, Ping Luo, Junjie Yan, Xiaogang Wang, Xiaoou Tang",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Shen_FaceID-GAN_Learning_a_CVPR_2018_paper.pdf",
        "aff": "Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences; CUHK - SenseTime Joint Lab, The Chinese University of Hong Kong; SenseTime Research",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Facelet-Bank for Fast Portrait Manipulation",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Chen_Facelet-Bank_for_Fast_CVPR_2018_paper.html",
        "author": "Ying-Cong Chen, Huaijia Lin, Michelle Shu, Ruiyu Li, Xin Tao, Xiaoyong Shen, Yangang Ye, Jiaya Jia",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Chen_Facelet-Bank_for_Fast_CVPR_2018_paper.pdf",
        "aff": "The Chinese University of Hong Kong; Johns Hopkins University; The Chinese University of Hong Kong, Tencent Youtu Lab; Tencent Youtu Lab",
        "project": "",
        "github": "",
        "arxiv": "1803.05576v3",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Facial Expression Recognition by De-Expression Residue Learning",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Yang_Facial_Expression_Recognition_CVPR_2018_paper.html",
        "author": "Huiyuan Yang, Umur Ciftci, Lijun Yin",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Yang_Facial_Expression_Recognition_CVPR_2018_paper.pdf",
        "aff": "Department of Computer Science, State University of New York at Binghamton, USA",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Factoring Shape, Pose, and Layout From the 2D Image of a 3D Scene",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Tulsiani_Factoring_Shape_Pose_CVPR_2018_paper.html",
        "author": "Shubham Tulsiani, Saurabh Gupta, David F. Fouhey, Alexei A. Efros, Jitendra Malik",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Tulsiani_Factoring_Shape_Pose_CVPR_2018_paper.pdf",
        "aff": "University of California, Berkeley",
        "project": "",
        "github": "https://shubhtuls.github.io/factored3d/",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Fast End-to-End Trainable Guided Filter",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Wu_Fast_End-to-End_Trainable_CVPR_2018_paper.html",
        "author": "Huikai Wu, Shuai Zheng, Junge Zhang, Kaiqi Huang",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Wu_Fast_End-to-End_Trainable_CVPR_2018_paper.pdf",
        "aff": "CRIPAC & NLPR, Institute of Automation, Chinese Academy of Sciences, Beijing, China and University of Chinese Academy of Sciences, Beijing, China; CRIPAC & NLPR, Institute of Automation, Chinese Academy of Sciences, Beijing, China and University of Chinese Academy of Sciences, Beijing, China and CAS Center for Excellence in Brain Science and Intelligence Technology, Beijing, China; eBay Research",
        "project": "",
        "github": "https://github.com/wuhuikai/DeepGuidedFilter",
        "arxiv": "1803.05619v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Fast Monte-Carlo Localization on Aerial Vehicles Using Approximate Continuous Belief Representations",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Dhawale_Fast_Monte-Carlo_Localization_CVPR_2018_paper.html",
        "author": "Aditya Dhawale, Kumar Shaurya Shankar, Nathan Michael",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Dhawale_Fast_Monte-Carlo_Localization_CVPR_2018_paper.pdf",
        "aff": "The Robotics Institute, Carnegie Mellon University, Pittsburgh, PA, 15213, USA",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1712.05507",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Fast Spectral Ranking for Similarity Search",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Iscen_Fast_Spectral_Ranking_CVPR_2018_paper.html",
        "author": "Ahmet Iscen, Yannis Avrithis, Giorgos Tolias, Teddy Furon, Ond\u0159ej Chum",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Iscen_Fast_Spectral_Ranking_CVPR_2018_paper.pdf",
        "aff": "VRG, FEE, CTU in Prague; Inria Rennes",
        "project": "",
        "github": "",
        "arxiv": "1703.06935v3",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Fast Video Object Segmentation by Reference-Guided Mask Propagation",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Oh_Fast_Video_Object_CVPR_2018_paper.html",
        "author": "Seoung Wug Oh, Joon-Young Lee, Kalyan Sunkavalli, Seon Joo Kim",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Oh_Fast_Video_Object_CVPR_2018_paper.pdf",
        "aff": "Adobe Research; Yonsei University",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Fast and Accurate Online Video Object Segmentation via Tracking Parts",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Cheng_Fast_and_Accurate_CVPR_2018_paper.html",
        "author": "Jingchun Cheng, Yi-Hsuan Tsai, Wei-Chih Hung, Shengjin Wang, Ming-Hsuan Yang",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Cheng_Fast_and_Accurate_CVPR_2018_paper.pdf",
        "aff": "Tsinghua University; University of California, Merced; NEC Laboratories America",
        "project": "",
        "github": "",
        "arxiv": "1806.02323v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Fast and Accurate Single Image Super-Resolution via Information Distillation Network",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Hui_Fast_and_Accurate_CVPR_2018_paper.html",
        "author": "Zheng Hui, Xiumei Wang, Xinbo Gao",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Hui_Fast_and_Accurate_CVPR_2018_paper.pdf",
        "aff": "School of Electronic Engineering, Xidian University, Xi\u2019an, China",
        "project": "",
        "github": "https://github.com/Zheng222/IDN-Caffe",
        "arxiv": "1803.09454v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Fast and Furious: Real Time End-to-End 3D Detection, Tracking and Motion Forecasting With a Single Convolutional Net",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Luo_Fast_and_Furious_CVPR_2018_paper.html",
        "author": "Wenjie Luo, Bin Yang, Raquel Urtasun",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Luo_Fast_and_Furious_CVPR_2018_paper.pdf",
        "aff": "Uber Advanced Technologies Group; University of Toronto",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Fast and Robust Estimation for Unit-Norm Constrained Linear Fitting Problems",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Ikami_Fast_and_Robust_CVPR_2018_paper.html",
        "author": "Daiki Ikami, Toshihiko Yamasaki, Kiyoharu Aizawa",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Ikami_Fast_and_Robust_CVPR_2018_paper.pdf",
        "aff": "The University of Tokyo, Japan",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "FeaStNet: Feature-Steered Graph Convolutions for 3D Shape Analysis",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Verma_FeaStNet_Feature-Steered_Graph_CVPR_2018_paper.html",
        "author": "Nitika Verma, Edmond Boyer, Jakob Verbeek",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Verma_FeaStNet_Feature-Steered_Graph_CVPR_2018_paper.pdf",
        "aff": "Univ. Grenoble Alpes, Inria, CNRS, Grenoble INP, LJK, 38000 Grenoble, France",
        "project": "",
        "github": "",
        "arxiv": "1706.05206v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Feature Generating Networks for Zero-Shot Learning",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Xian_Feature_Generating_Networks_CVPR_2018_paper.html",
        "author": "Yongqin Xian, Tobias Lorenz, Bernt Schiele, Zeynep Akata",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Xian_Feature_Generating_Networks_CVPR_2018_paper.pdf",
        "aff": "Max Planck Institute for Informatics, Amsterdam Machine Learning Lab, Saarland Informatics Campus University of Amsterdam; Max Planck Institute for Informatics",
        "project": "",
        "github": "",
        "arxiv": "1712.00981v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Feature Mapping for Learning Fast and Accurate 3D Pose Inference From Synthetic Images",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Rad_Feature_Mapping_for_CVPR_2018_paper.html",
        "author": "Mahdi Rad, Markus Oberweger, Vincent Lepetit",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Rad_Feature_Mapping_for_CVPR_2018_paper.pdf",
        "aff": "Laboratoire Bordelais de Recherche en Informatique, Universit\u00e9 de Bordeaux, Bordeaux, France; Institute for Computer Graphics and Vision, Graz University of Technology, Graz, Austria",
        "project": "",
        "github": "",
        "arxiv": "1712.03904v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Feature Quantization for Defending Against Distortion of Images",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Sun_Feature_Quantization_for_CVPR_2018_paper.html",
        "author": "Zhun Sun, Mete Ozay, Yan Zhang, Xing Liu, Takayuki Okatani",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Sun_Feature_Quantization_for_CVPR_2018_paper.pdf",
        "aff": "RIKEN Center for AIP; Tohoku University, RIKEN Center for AIP; Tohoku University",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Feature Selective Networks for Object Detection",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Zhai_Feature_Selective_Networks_CVPR_2018_paper.html",
        "author": "Yao Zhai, Jingjing Fu, Yan Lu, Houqiang Li",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Zhai_Feature_Selective_Networks_CVPR_2018_paper.pdf",
        "aff": "Microsoft Research Asia; University of Science and Technology of China",
        "project": "",
        "github": "",
        "arxiv": "1711.08879v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Feature Space Transfer for Data Augmentation",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Liu_Feature_Space_Transfer_CVPR_2018_paper.html",
        "author": "Bo Liu, Xudong Wang, Mandar Dixit, Roland Kwitt, Nuno Vasconcelos",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Liu_Feature_Space_Transfer_CVPR_2018_paper.pdf",
        "aff": "University of California, San Diego; Microsoft; University of Salzburg, Austria",
        "project": "",
        "github": "",
        "arxiv": "1801.04356v3",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Feature Super-Resolution: Make Machine See More Clearly",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Tan_Feature_Super-Resolution_Make_CVPR_2018_paper.html",
        "author": "Weimin Tan, Bo Yan, Bahetiyaer Bare",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Tan_Feature_Super-Resolution_Make_CVPR_2018_paper.pdf",
        "aff": "School of Computer Science, Shanghai Key Laboratory of Intelligent Information Processing, Fudan University",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Features for Multi-Target Multi-Camera Tracking and Re-Identification",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Ristani_Features_for_Multi-Target_CVPR_2018_paper.html",
        "author": "Ergys Ristani, Carlo Tomasi",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Ristani_Features_for_Multi-Target_CVPR_2018_paper.pdf",
        "aff": "Duke University, Durham, NC, USA",
        "project": "",
        "github": "http://vision.cs.duke.edu/DukeMTMC/",
        "arxiv": "1803.10859v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Feedback-Prop: Convolutional Neural Network Inference Under Partial Evidence",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Wang_Feedback-Prop_Convolutional_Neural_CVPR_2018_paper.html",
        "author": "Tianlu Wang, Kota Yamaguchi, Vicente Ordonez",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Wang_Feedback-Prop_Convolutional_Neural_CVPR_2018_paper.pdf",
        "aff": "University of Virginia; CyberAgent, Inc.",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1710.08049",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Few-Shot Image Recognition by Predicting Parameters From Activations",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Qiao_Few-Shot_Image_Recognition_CVPR_2018_paper.html",
        "author": "Siyuan Qiao, Chenxi Liu, Wei Shen, Alan L. Yuille",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Qiao_Few-Shot_Image_Recognition_CVPR_2018_paper.pdf",
        "aff": "Shanghai University; Johns Hopkins University",
        "project": "",
        "github": "",
        "arxiv": "1706.03466v3",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Fight Ill-Posedness With Ill-Posedness: Single-Shot Variational Depth Super-Resolution From Shading",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Haefner_Fight_Ill-Posedness_With_CVPR_2018_paper.html",
        "author": "Bjoern Haefner, Yvain Qu\u00e9au, Thomas M\u00f6llenhoff, Daniel Cremers",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Haefner_Fight_Ill-Posedness_With_CVPR_2018_paper.pdf",
        "aff": "Department of Informatics, Technical University of Munich, Germany",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Finding \"It\": Weakly-Supervised Reference-Aware Visual Grounding in Instructional Videos",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Huang_Finding_It_Weakly-Supervised_CVPR_2018_paper.html",
        "author": "De-An Huang, Shyamal Buch, Lucio Dery, Animesh Garg, Li Fei-Fei, Juan Carlos Niebles",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Huang_Finding_It_Weakly-Supervised_CVPR_2018_paper.pdf",
        "aff": "Stanford University",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Finding Beans in Burgers: Deep Semantic-Visual Embedding With Localization",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Engilberge_Finding_Beans_in_CVPR_2018_paper.html",
        "author": "Martin Engilberge, Louis Chevallier, Patrick P\u00e9rez, Matthieu Cord",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Engilberge_Finding_Beans_in_CVPR_2018_paper.pdf",
        "aff": "Sorbonne universit\u00e9, Paris, France; Sorbonne universit\u00e9, Paris, France; Technicolor, Cesson S\u00e9vign\u00e9, France; Technicolor, Cesson S\u00e9vign\u00e9, France",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1804.01720",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Finding Tiny Faces in the Wild With Generative Adversarial Network",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Bai_Finding_Tiny_Faces_CVPR_2018_paper.html",
        "author": "Yancheng Bai, Yongqiang Zhang, Mingli Ding, Bernard Ghanem",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Bai_Finding_Tiny_Faces_CVPR_2018_paper.pdf",
        "aff": "Visual Computing Center, King Abdullah University of Science and Technology (KAUST); Visual Computing Center, King Abdullah University of Science and Technology (KAUST); Institute of Software, Chinese Academy of Sciences (CAS); School of Electrical Engineering and Automation, Harbin Institute of Technology (HIT)",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Fine-Grained Video Captioning for Sports Narrative",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Yu_Fine-Grained_Video_Captioning_CVPR_2018_paper.html",
        "author": "Huanyu Yu, Shuo Cheng, Bingbing Ni, Minsi Wang, Jian Zhang, Xiaokang Yang",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Yu_Fine-Grained_Video_Captioning_CVPR_2018_paper.pdf",
        "aff": "Shanghai Institute for Advanced Communication and Data Science, Shanghai Key Laboratory of Digital Media Processing and Transmission, Shanghai Jiao Tong University",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "First-Person Hand Action Benchmark With RGB-D Videos and 3D Hand Pose Annotations",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Garcia-Hernando_First-Person_Hand_Action_CVPR_2018_paper.html",
        "author": "Guillermo Garcia-Hernando, Shanxin Yuan, Seungryul Baek, Tae-Kyun Kim",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Garcia-Hernando_First-Person_Hand_Action_CVPR_2018_paper.pdf",
        "aff": "Imperial College London",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1704.02463",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Five-Point Fundamental Matrix Estimation for Uncalibrated Cameras",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Barath_Five-Point_Fundamental_Matrix_CVPR_2018_paper.html",
        "author": "Daniel Barath",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Barath_Five-Point_Fundamental_Matrix_CVPR_2018_paper.pdf",
        "aff": "Machine Perception Research Laboratory, MTA SZTAKI, Budapest, Hungary; Centre for Machine Perception, Czech Technical University, Prague, Czech Republic",
        "project": "",
        "github": "http://web.eee.sztaki.hu/ dbarath/C1C2P4P1P2P3\u03a0P5",
        "arxiv": "1803.00260v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "FlipDial: A Generative Model for Two-Way Visual Dialogue",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Massiceti_FlipDial_A_Generative_CVPR_2018_paper.html",
        "author": "Daniela Massiceti, N. Siddharth, Puneet K. Dokania, Philip H.S. Torr",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Massiceti_FlipDial_A_Generative_CVPR_2018_paper.pdf",
        "aff": "University of Oxford, UK",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1802.03803",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Flow Guided Recurrent Neural Encoder for Video Salient Object Detection",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Li_Flow_Guided_Recurrent_CVPR_2018_paper.html",
        "author": "Guanbin Li, Yuan Xie, Tianhao Wei, Keze Wang, Liang Lin",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Li_Flow_Guided_Recurrent_CVPR_2018_paper.pdf",
        "aff": "Sun Yat-sen University; Sun Yat-sen University, SenseTime Group Limited; Zhejiang University",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Focal Visual-Text Attention for Visual Question Answering",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Liang_Focal_Visual-Text_Attention_CVPR_2018_paper.html",
        "author": "Junwei Liang, Lu Jiang, Liangliang Cao, Li-Jia Li, Alexander G. Hauptmann",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Liang_Focal_Visual-Text_Attention_CVPR_2018_paper.pdf",
        "aff": "Carnegie Mellon University; Google Inc.; HelloVera AI",
        "project": "",
        "github": "",
        "arxiv": "1806.01873v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Focus Manipulation Detection via Photometric Histogram Analysis",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Chen_Focus_Manipulation_Detection_CVPR_2018_paper.html",
        "author": "Can Chen, Scott McCloskey, Jingyi Yu",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Chen_Focus_Manipulation_Detection_CVPR_2018_paper.pdf",
        "aff": "Computer Information & Science, University of Delaware, Newark, DE 19716; University of Delaware, ShanghaiTech University, Shanghai, CHN 200031; Honeywell ACS Labs, Golden Valley, MN 55422",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "FoldingNet: Point Cloud Auto-Encoder via Deep Grid Deformation",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Yang_FoldingNet_Point_Cloud_CVPR_2018_paper.html",
        "author": "Yaoqing Yang, Chen Feng, Yiru Shen, Dong Tian",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Yang_FoldingNet_Point_Cloud_CVPR_2018_paper.pdf",
        "aff": "Carnegie Mellon University; Mitsubishi Electric Research Laboratories (MERL); Clemson University",
        "project": "",
        "github": "http://www.merl.com/research/license#FoldingNet",
        "arxiv": "1712.07262v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Fooling Vision and Language Models Despite Localization and Attention Mechanism",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Xu_Fooling_Vision_and_CVPR_2018_paper.html",
        "author": "Xiaojun Xu, Xinyun Chen, Chang Liu, Anna Rohrbach, Trevor Darrell, Dawn Song",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Xu_Fooling_Vision_and_CVPR_2018_paper.pdf",
        "aff": "MPI for Informatics; EECS, UC Berkeley; Shanghai Jiao Tong University",
        "project": "",
        "github": "",
        "arxiv": "1709.08693v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Frame-Recurrent Video Super-Resolution",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Sajjadi_Frame-Recurrent_Video_Super-Resolution_CVPR_2018_paper.html",
        "author": "Mehdi S. M. Sajjadi, Raviteja Vemulapalli, Matthew Brown",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Sajjadi_Frame-Recurrent_Video_Super-Resolution_CVPR_2018_paper.pdf",
        "aff": "Max Planck Institute for Intelligent Systems; Google",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1801.04590",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Free Supervision From Video Games",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Krahenbuhl_Free_Supervision_From_CVPR_2018_paper.html",
        "author": "Philipp Kr\u00e4henb\u00fchl",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Krahenbuhl_Free_Supervision_From_CVPR_2018_paper.pdf",
        "aff": "UT Austin",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "From Lifestyle Vlogs to Everyday Interactions",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Fouhey_From_Lifestyle_Vlogs_CVPR_2018_paper.html",
        "author": "David F. Fouhey, Wei-cheng Kuo, Alexei A. Efros, Jitendra Malik",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Fouhey_From_Lifestyle_Vlogs_CVPR_2018_paper.pdf",
        "aff": "University of California, Berkeley",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1712.02310",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "From Source to Target and Back: Symmetric Bi-Directional Adaptive GAN",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Russo_From_Source_to_CVPR_2018_paper.html",
        "author": "Paolo Russo, Fabio M. Carlucci, Tatiana Tommasi, Barbara Caputo",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Russo_From_Source_to_CVPR_2018_paper.pdf",
        "aff": "Department DIAG, Sapienza University of Rome, Italy and Italian Institute of Technology; Italian Institute of Technology",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1705.08824",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Frustum PointNets for 3D Object Detection From RGB-D Data",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Qi_Frustum_PointNets_for_CVPR_2018_paper.html",
        "author": "Charles R. Qi, Wei Liu, Chenxia Wu, Hao Su, Leonidas J. Guibas",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Qi_Frustum_PointNets_for_CVPR_2018_paper.pdf",
        "aff": "Nuro, Inc.; Stanford University; UC San Diego",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1711.08488",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Fully Convolutional Adaptation Networks for Semantic Segmentation",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Zhang_Fully_Convolutional_Adaptation_CVPR_2018_paper.html",
        "author": "Yiheng Zhang, Zhaofan Qiu, Ting Yao, Dong Liu, Tao Mei",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Zhang_Fully_Convolutional_Adaptation_CVPR_2018_paper.pdf",
        "aff": "University of Science and Technology of China, Hefei, China; Microsoft Research, Beijing, China",
        "project": "",
        "github": "",
        "arxiv": "1804.08286v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Functional Map of the World",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Christie_Functional_Map_of_CVPR_2018_paper.html",
        "author": "Gordon Christie, Neil Fendley, James Wilson, Ryan Mukherjee",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Christie_Functional_Map_of_CVPR_2018_paper.pdf",
        "aff": "DigitalGlobe; The Johns Hopkins University Applied Physics Laboratory",
        "project": "",
        "github": "",
        "arxiv": "1711.07846v3",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Fusing Crowd Density Maps and Visual Object Trackers for People Tracking in Crowd Scenes",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Ren_Fusing_Crowd_Density_CVPR_2018_paper.html",
        "author": "Weihong Ren, Di Kang, Yandong Tang, Antoni B. Chan",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Ren_Fusing_Crowd_Density_CVPR_2018_paper.pdf",
        "aff": "Department of Computer Science, City University of Hong Kong; State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences; Department of Computer Science, City University of Hong Kong; State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences; University of Chinese Academy of Sciences",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Future Frame Prediction for Anomaly Detection \u2013 A New Baseline",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Liu_Future_Frame_Prediction_CVPR_2018_paper.html",
        "author": "Wen Liu, Weixin Luo, Dongze Lian, Shenghua Gao",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Liu_Future_Frame_Prediction_CVPR_2018_paper.pdf",
        "aff": "ShanghaiTech University",
        "project": "",
        "github": "https://github.com/StevenLiuWen/ano_pred_cvpr2018",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Future Person Localization in First-Person Videos",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Yagi_Future_Person_Localization_CVPR_2018_paper.html",
        "author": "Takuma Yagi, Karttikeya Mangalam, Ryo Yonetani, Yoichi Sato",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Yagi_Future_Person_Localization_CVPR_2018_paper.pdf",
        "aff": "The University of Tokyo, Tokyo, Japan; Indian Institute of Technology, Kanpur, India",
        "project": "",
        "github": "",
        "arxiv": "1711.11217v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "GAGAN: Geometry-Aware Generative Adversarial Networks",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Kossaifi_GAGAN_Geometry-Aware_Generative_CVPR_2018_paper.html",
        "author": "Jean Kossaifi, Linh Tran, Yannis Panagakis, Maja Pantic",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Kossaifi_GAGAN_Geometry-Aware_Generative_CVPR_2018_paper.pdf",
        "aff": "Imperial College London; Middlesex University London",
        "project": "",
        "github": "",
        "arxiv": "1712.00684v3",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "GANerated Hands for Real-Time 3D Hand Tracking From Monocular RGB",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Mueller_GANerated_Hands_for_CVPR_2018_paper.html",
        "author": "Franziska Mueller, Florian Bernard, Oleksandr Sotnychenko, Dushyant Mehta, Srinath Sridhar, Dan Casas, Christian Theobalt",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Mueller_GANerated_Hands_for_CVPR_2018_paper.pdf",
        "aff": "Stanford University; Univ. Rey Juan Carlos; MPI Informatics, Saarland Informatics Campus",
        "project": "",
        "github": "",
        "arxiv": "1712.01057v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "GVCNN: Group-View Convolutional Neural Networks for 3D Shape Recognition",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Feng_GVCNN_Group-View_Convolutional_CVPR_2018_paper.html",
        "author": "Yifan Feng, Zizhao Zhang, Xibin Zhao, Rongrong Ji, Yue Gao",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Feng_GVCNN_Group-View_Convolutional_CVPR_2018_paper.pdf",
        "aff": "KLISS, School of Software, Tsinghua University; School of Information Science and Engineering, Xiamen University",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Gated Fusion Network for Single Image Dehazing",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Ren_Gated_Fusion_Network_CVPR_2018_paper.html",
        "author": "Wenqi Ren, Lin Ma, Jiawei Zhang, Jinshan Pan, Xiaochun Cao, Wei Liu, Ming-Hsuan Yang",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Ren_Gated_Fusion_Network_CVPR_2018_paper.pdf",
        "aff": "Tencent AI Lab; City University of Hong Kong; State Key Laboratory of Information Security (SKLOIS), IIE, CAS; Nanjing University of Science and Technology; School of Cyber Security, University of Chinese Academy of Sciences; Electrical Engineering and Computer Science, University of California, Merced",
        "project": "https://sites.google.com/site/renwenqi888/research/dehazing/gfn",
        "github": "",
        "arxiv": "1804.00213v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Gaze Prediction in Dynamic 360\u00b0 Immersive Videos",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Xu_Gaze_Prediction_in_CVPR_2018_paper.html",
        "author": "Yanyu Xu, Yanbing Dong, Junru Wu, Zhengzhong Sun, Zhiru Shi, Jingyi Yu, Shenghua Gao",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Xu_Gaze_Prediction_in_CVPR_2018_paper.pdf",
        "aff": "ShanghaiTech University",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Generalized Zero-Shot Learning via Synthesized Examples",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Verma_Generalized_Zero-Shot_Learning_CVPR_2018_paper.html",
        "author": "Vinay Kumar Verma, Gundeep Arora, Ashish Mishra, Piyush Rai",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Verma_Generalized_Zero-Shot_Learning_CVPR_2018_paper.pdf",
        "aff": "Indian Institute of Technology Madras; Indian Institute of Technology Kanpur",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1712.03878",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Generate to Adapt: Aligning Domains Using Generative Adversarial Networks",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Sankaranarayanan_Generate_to_Adapt_CVPR_2018_paper.html",
        "author": "Swami Sankaranarayanan, Yogesh Balaji, Carlos D. Castillo, Rama Chellappa",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Sankaranarayanan_Generate_to_Adapt_CVPR_2018_paper.pdf",
        "aff": "UMIACS, University of Maryland, College Park",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1704.01705",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Generating Synthetic X-Ray Images of a Person From the Surface Geometry",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Teixeira_Generating_Synthetic_X-Ray_CVPR_2018_paper.html",
        "author": "Brian Teixeira, Vivek Singh, Terrence Chen, Kai Ma, Birgi Tamersoy, Yifan Wu, Elena Balashova, Dorin Comaniciu",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Teixeira_Generating_Synthetic_X-Ray_CVPR_2018_paper.pdf",
        "aff": "Medical Imaging Technologies, Siemens Medical Solutions Inc., Princeton, NJ, USA; Princeton University, Princeton, NJ, USA; Temple University, Philadelphia, PA, USA",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1805.00553",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Generating a Fusion Image: One's Identity and Another's Shape",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Joo_Generating_a_Fusion_CVPR_2018_paper.html",
        "author": "DongGyu Joo, Doyeon Kim, Junmo Kim",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Joo_Generating_a_Fusion_CVPR_2018_paper.pdf",
        "aff": "School of Electrical Engineering, KAIST, South Korea",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1804.07455",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Generative Adversarial Image Synthesis With Decision Tree Latent Controller",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Kaneko_Generative_Adversarial_Image_CVPR_2018_paper.html",
        "author": "Takuhiro Kaneko, Kaoru Hiramatsu, Kunio Kashino",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Kaneko_Generative_Adversarial_Image_CVPR_2018_paper.pdf",
        "aff": "NTT Communication Science Laboratories, NTT Corporation",
        "project": "",
        "github": "",
        "arxiv": "1805.10603v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Generative Adversarial Learning Towards Fast Weakly Supervised Detection",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Shen_Generative_Adversarial_Learning_CVPR_2018_paper.html",
        "author": "Yunhan Shen, Rongrong Ji, Shengchuan Zhang, Wangmeng Zuo, Yan Wang",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Shen_Generative_Adversarial_Learning_CVPR_2018_paper.pdf",
        "aff": "Fujian Key Laboratory of Sensing and Computing for Smart City, School of Information Science and Engineering, Xiamen University, Fujian, China; Microsoft, Redmond, USA; School of Computer Science and Technology, Harbin Institute of Technology, China",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Generative Adversarial Perturbations",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Poursaeed_Generative_Adversarial_Perturbations_CVPR_2018_paper.html",
        "author": "Omid Poursaeed, Isay Katsman, Bicheng Gao, Serge Belongie",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Poursaeed_Generative_Adversarial_Perturbations_CVPR_2018_paper.pdf",
        "aff": "Cornell University, Cornell Tech; Shanghai Jiao Tong University, Cornell University",
        "project": "",
        "github": "",
        "arxiv": "1712.02328v3",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Generative Image Inpainting With Contextual Attention",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Yu_Generative_Image_Inpainting_CVPR_2018_paper.html",
        "author": "Jiahui Yu, Zhe Lin, Jimei Yang, Xiaohui Shen, Xin Lu, Thomas S. Huang",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Yu_Generative_Image_Inpainting_CVPR_2018_paper.pdf",
        "aff": "University of Illinois at Urbana-Champaign; Adobe Research",
        "project": "",
        "github": "https://github.com/JiahuiYu/generative_inpainting",
        "arxiv": "1801.07892v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Generative Modeling Using the Sliced Wasserstein Distance",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Deshpande_Generative_Modeling_Using_CVPR_2018_paper.html",
        "author": "Ishan Deshpande, Ziyu Zhang, Alexander G. Schwing",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Deshpande_Generative_Modeling_Using_CVPR_2018_paper.pdf",
        "aff": "Snap Inc., Los Angeles; University of Illinois, Urbana-Champaign",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1803.11188",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "GeoNet: Geometric Neural Network for Joint Depth and Surface Normal Estimation",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Qi_GeoNet_Geometric_Neural_CVPR_2018_paper.html",
        "author": "Xiaojuan Qi, Renjie Liao, Zhengzhe Liu, Raquel Urtasun, Jiaya Jia",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Qi_GeoNet_Geometric_Neural_CVPR_2018_paper.pdf",
        "aff": "Uber Advanced Technologies Group; The Chinese University of Hong Kong; University of Toronto; YouTu Lab, Tencent",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Yin_GeoNet_Unsupervised_Learning_CVPR_2018_paper.html",
        "author": "Zhichao Yin, Jianping Shi",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Yin_GeoNet_Unsupervised_Learning_CVPR_2018_paper.pdf",
        "aff": "SenseTime Research",
        "project": "",
        "github": "",
        "arxiv": "1803.02276v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Geometric Multi-Model Fitting With a Convex Relaxation Algorithm",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Amayo_Geometric_Multi-Model_Fitting_CVPR_2018_paper.html",
        "author": "Paul Amayo, Pedro Pini\u00e9s, Lina M. Paz, Paul Newman",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Amayo_Geometric_Multi-Model_Fitting_CVPR_2018_paper.pdf",
        "aff": "Oxford Robotics Institute, University of Oxford, UK",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1706.01553",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Geometric Robustness of Deep Networks: Analysis and Improvement",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Kanbak_Geometric_Robustness_of_CVPR_2018_paper.html",
        "author": "Can Kanbak, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Kanbak_Geometric_Robustness_of_CVPR_2018_paper.pdf",
        "aff": "\u00b4Ecole Polytechnique F \u00b4ed\u00b4erale de Lausanne",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1711.09115",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Geometry Aware Constrained Optimization Techniques for Deep Learning",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Roy_Geometry_Aware_Constrained_CVPR_2018_paper.html",
        "author": "Soumava Kumar Roy, Zakaria Mhammedi, Mehrtash Harandi",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Roy_Geometry_Aware_Constrained_CVPR_2018_paper.pdf",
        "aff": "Australian National University, Canberra, Australia; Data61, CSIRO, Canberra, Australia; Australian National University, Canberra, Australia",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Geometry Guided Convolutional Neural Networks for Self-Supervised Video Representation Learning",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Gan_Geometry_Guided_Convolutional_CVPR_2018_paper.html",
        "author": "Chuang Gan, Boqing Gong, Kun Liu, Hao Su, Leonidas J. Guibas",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Gan_Geometry_Guided_Convolutional_CVPR_2018_paper.pdf",
        "aff": "Tencent AI Lab; Stanford University; BUPT; MIT-IBM Watson AI Lab; UCSD",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Geometry-Aware Deep Network for Single-Image Novel View Synthesis",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Liu_Geometry-Aware_Deep_Network_CVPR_2018_paper.html",
        "author": "Miaomiao Liu, Xuming He, Mathieu Salzmann",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Liu_Geometry-Aware_Deep_Network_CVPR_2018_paper.pdf",
        "aff": "CECS, ANU, Canberra, Australia; CVLAB, EPFL, Lausanne, Switzerland; ShanghaiTech University, Shanghai, China",
        "project": "",
        "github": "",
        "arxiv": "1804.06008v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Geometry-Aware Learning of Maps for Camera Localization",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Brahmbhatt_Geometry-Aware_Learning_of_CVPR_2018_paper.html",
        "author": "Samarth Brahmbhatt, Jinwei Gu, Kihwan Kim, James Hays, Jan Kautz",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Brahmbhatt_Geometry-Aware_Learning_of_CVPR_2018_paper.pdf",
        "aff": "Georgia Institute of Technology; NVIDIA",
        "project": "https://goo.gl/mRB3Au",
        "github": "",
        "arxiv": "1712.03342v3",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Geometry-Aware Network for Non-Rigid Shape Prediction From a Single View",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Pumarola_Geometry-Aware_Network_for_CVPR_2018_paper.html",
        "author": "Albert Pumarola, Antonio Agudo, Lorenzo Porzi, Alberto Sanfeliu, Vincent Lepetit, Francesc Moreno-Noguer",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Pumarola_Geometry-Aware_Network_for_CVPR_2018_paper.pdf",
        "aff": "Institut de Rob `otica i Inform `atica Industrial, CSIC-UPC, Barcelona, Spain; Mapillary Research, Graz, Austria; Laboratoire Bordelais de Recherche en Informatique, Universit \u00b4e de Bordeaux, France",
        "project": "",
        "github": "",
        "arxiv": "1809.10305v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Geometry-Aware Scene Text Detection With Instance Transformation Network",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Wang_Geometry-Aware_Scene_Text_CVPR_2018_paper.html",
        "author": "Fangfang Wang, Liming Zhao, Xi Li, Xinchao Wang, Dacheng Tao",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Wang_Geometry-Aware_Scene_Text_CVPR_2018_paper.pdf",
        "aff": "Department of Computer Science, Stevens Institute of Technology, USA; SIT, FEIT, University of Sydney, Australia; College of Computer Science, Zhejiang University, China",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Gesture Recognition: Focus on the Hands",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Narayana_Gesture_Recognition_Focus_CVPR_2018_paper.html",
        "author": "Pradyumna Narayana, Ross Beveridge, Bruce A. Draper",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Narayana_Gesture_Recognition_Focus_CVPR_2018_paper.pdf",
        "aff": "Colorado State University",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Gibson Env: Real-World Perception for Embodied Agents",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Xia_Gibson_Env_Real-World_CVPR_2018_paper.html",
        "author": "Fei Xia, Amir R. Zamir, Zhiyang He, Alexander Sax, Jitendra Malik, Silvio Savarese",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Xia_Gibson_Env_Real-World_CVPR_2018_paper.pdf",
        "aff": "Stanford University; Stanford University, University of California, Berkeley; University of California, Berkeley",
        "project": "http://gibson.vision/",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Glimpse Clouds: Human Activity Recognition From Unstructured Feature Points",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Baradel_Glimpse_Clouds_Human_CVPR_2018_paper.html",
        "author": "Fabien Baradel, Christian Wolf, Julien Mille, Graham W. Taylor",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Baradel_Glimpse_Clouds_Human_CVPR_2018_paper.pdf",
        "aff": "Univ. Lyon, INSA-Lyon, CNRS, LIRIS, F-69621, Villeurbanne, France; School of Engineering, Univ. of Guelph, Guelph, Ontario, Canada; Laboratoire d\u2019Informatique de l\u2019Univ. de Tours, INSA Centre Val de Loire, 41034 Blois, France; INRIA, CITI Laboratory, Villeurbanne, France",
        "project": "",
        "github": "",
        "arxiv": "1802.07898v4",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Global Versus Localized Generative Adversarial Nets",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Qi_Global_Versus_Localized_CVPR_2018_paper.html",
        "author": "Guo-Jun Qi, Liheng Zhang, Hao Hu, Marzieh Edraki, Jingdong Wang, Xian-Sheng Hua",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Qi_Global_Versus_Localized_CVPR_2018_paper.pdf",
        "aff": "Alibaba Group; University of Central Florida",
        "project": "maple.cs.ucf.edu",
        "github": "",
        "arxiv": "1711.06020v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Globally Optimal Inlier Set Maximization for Atlanta Frame Estimation",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Joo_Globally_Optimal_Inlier_CVPR_2018_paper.html",
        "author": "Kyungdon Joo, Tae-Hyun Oh, In So Kweon, Jean-Charles Bazin",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Joo_Globally_Optimal_Inlier_CVPR_2018_paper.pdf",
        "aff": "CML, KAIST; MIT CSAIL; RCV Lab., KAIST",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Going From Image to Video Saliency: Augmenting Image Salience With Dynamic Attentional Push",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Gorji_Going_From_Image_CVPR_2018_paper.html",
        "author": "Siavash Gorji, James J. Clark",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Gorji_Going_From_Image_CVPR_2018_paper.pdf",
        "aff": "Centre for Intelligent Machines, Department of Electrical and Computer Engineering, McGill University, Montreal, Quebec, Canada",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Good View Hunting: Learning Photo Composition From Dense View Pairs",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Wei_Good_View_Hunting_CVPR_2018_paper.html",
        "author": "Zijun Wei, Jianming Zhang, Xiaohui Shen, Zhe Lin, Radom\u00edr Mech, Minh Hoai, Dimitris Samaras",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Wei_Good_View_Hunting_CVPR_2018_paper.pdf",
        "aff": "Adobe Research; Stony Brook University",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Graph-Cut RANSAC",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Barath_Graph-Cut_RANSAC_CVPR_2018_paper.html",
        "author": "Daniel Barath, Ji\u0159\u00ed Matas",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Barath_Graph-Cut_RANSAC_CVPR_2018_paper.pdf",
        "aff": "Centre for Machine Perception, Czech Technical University, Prague, Czech Republic; Machine Perception Research Laboratory, MTA SZTAKI, Budapest, Hungary",
        "project": "",
        "github": "https://github.com/danini/graph-cut-ransac",
        "arxiv": "1706.00984v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "GraphBit: Bitwise Interaction Mining via Deep Reinforcement Learning",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Duan_GraphBit_Bitwise_Interaction_CVPR_2018_paper.html",
        "author": "Yueqi Duan, Ziwei Wang, Jiwen Lu, Xudong Lin, Jie Zhou",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Duan_GraphBit_Bitwise_Interaction_CVPR_2018_paper.pdf",
        "aff": "Department of Automation, Tsinghua University, China; State Key Lab of Intelligent Technologies and Systems, China; Beijing National Research Center for Information Science and Technology, China; Department of Automation, Tsinghua University, China",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Grounding Referring Expressions in Images by Variational Context",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Zhang_Grounding_Referring_Expressions_CVPR_2018_paper.html",
        "author": "Hanwang Zhang, Yulei Niu, Shih-Fu Chang",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Zhang_Grounding_Referring_Expressions_CVPR_2018_paper.pdf",
        "aff": "Renmin University of China; Nanyang Technological University; Columbia University",
        "project": "",
        "github": "https://github.com/yuleiniu/vc",
        "arxiv": "1712.01892v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Group Consistent Similarity Learning via Deep CRF for Person Re-Identification",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Chen_Group_Consistent_Similarity_CVPR_2018_paper.html",
        "author": "Dapeng Chen, Dan Xu, Hongsheng Li, Nicu Sebe, Xiaogang Wang",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Chen_Group_Consistent_Similarity_CVPR_2018_paper.pdf",
        "aff": "CUHK-SenseTime Joint Lab, The Chinese University of Hong Kong; Department of Information Engineering and Computer Science, University of Trento; CUHK-SenseTime Joint Lab, The Chinese University of Hong Kong and School of Software Engineering, Xi\u2019an Jiaotong University",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "GroupCap: Group-Based Image Captioning With Structured Relevance and Diversity Constraints",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Chen_GroupCap_Group-Based_Image_CVPR_2018_paper.html",
        "author": "Fuhai Chen, Rongrong Ji, Xiaoshuai Sun, Yongjian Wu, Jinsong Su",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Chen_GroupCap_Group-Based_Image_CVPR_2018_paper.pdf",
        "aff": "Tencent YouTu Lab; Xiamen University, 361005, China; School of Computer Science and Technology, Harbin Institute of Technology, 150006, China; Fujian Key Laboratory of Sensing and Computing for Smart City, School of Information Science and Engineering, Xiamen University, 361005, China",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Guide Me: Interacting With Deep Networks",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Rupprecht_Guide_Me_Interacting_CVPR_2018_paper.html",
        "author": "Christian Rupprecht, Iro Laina, Nassir Navab, Gregory D. Hager, Federico Tombari",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Rupprecht_Guide_Me_Interacting_CVPR_2018_paper.pdf",
        "aff": "Johns Hopkins University, Baltimore, MD, USA; Technische Universit \u00a8at M \u00a8unchen, Munich, Germany; Technische Universit \u00a8at M \u00a8unchen, Munich, Germany",
        "project": "",
        "github": "",
        "arxiv": "1803.11544v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Guided Proofreading of Automatic Segmentations for Connectomics",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Haehn_Guided_Proofreading_of_CVPR_2018_paper.html",
        "author": "Daniel Haehn, Verena Kaynig, James Tompkin, Jeff W. Lichtman, Hanspeter Pfister",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Haehn_Guided_Proofreading_of_CVPR_2018_paper.pdf",
        "aff": "Brown University; Harvard University",
        "project": "",
        "github": "",
        "arxiv": "1704.00848v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "HATS: Histograms of Averaged Time Surfaces for Robust Event-Based Object Classification",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Sironi_HATS_Histograms_of_CVPR_2018_paper.html",
        "author": "Amos Sironi, Manuele Brambilla, Nicolas Bourdis, Xavier Lagorce, Ryad Benosman",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Sironi_HATS_Histograms_of_CVPR_2018_paper.pdf",
        "aff": "Institut de la Vision, UPMC, Paris, France / University of Pittsburgh Medical Center / Carnegie Mellon University; PROPHESEE, Paris, France",
        "project": "",
        "github": "",
        "arxiv": "1803.07913v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "HSA-RNN: Hierarchical Structure-Adaptive RNN for Video Summarization",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Zhao_HSA-RNN_Hierarchical_Structure-Adaptive_CVPR_2018_paper.html",
        "author": "Bin Zhao, Xuelong Li, Xiaoqiang Lu",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Zhao_HSA-RNN_Hierarchical_Structure-Adaptive_CVPR_2018_paper.pdf",
        "aff": "School of Computer Science and Center for OPTical IMagery Analysis and Learning (OPTIMAL), Northwestern Polytechnical University, Xi'an, Shaanxi, P. R. China; Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an, Shaanxi, P. R. China",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Hallucinated-IQA: No-Reference Image Quality Assessment via Adversarial Learning",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Lin_Hallucinated-IQA_No-Reference_Image_CVPR_2018_paper.html",
        "author": "Kwan-Yee Lin, Guanxiang Wang",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Lin_Hallucinated-IQA_No-Reference_Image_CVPR_2018_paper.pdf",
        "aff": "Department of Mathematics, School of Mathematical Sciences, Peking University; Department of Information Science, School of Mathematical Sciences, Peking University",
        "project": "https://kwanyeelin.github.io/projects/HIQA/HIQA.html",
        "github": "",
        "arxiv": "arXiv:1804.01681",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Hand PointNet: 3D Hand Pose Estimation Using Point Sets",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Ge_Hand_PointNet_3D_CVPR_2018_paper.html",
        "author": "Liuhao Ge, Yujun Cai, Junwu Weng, Junsong Yuan",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Ge_Hand_PointNet_3D_CVPR_2018_paper.pdf",
        "aff": "Department of Computer Science and Engineering, State University of New York at Buffalo; Institute for Media Innovation, Interdisciplinary Graduate School, Nanyang Technological University; School of Electrical and Electronic Engineering, Nanyang Technological University",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Harmonious Attention Network for Person Re-Identification",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Li_Harmonious_Attention_Network_CVPR_2018_paper.html",
        "author": "Wei Li, Xiatian Zhu, Shaogang Gong",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Li_Harmonious_Attention_Network_CVPR_2018_paper.pdf",
        "aff": "Queen Mary University of London",
        "project": "",
        "github": "",
        "arxiv": "1802.08122v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "HashGAN: Deep Learning to Hash With Pair Conditional Wasserstein GAN",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Cao_HashGAN_Deep_Learning_CVPR_2018_paper.html",
        "author": "Yue Cao, Bin Liu, Mingsheng Long, Jianmin Wang",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Cao_HashGAN_Deep_Learning_CVPR_2018_paper.pdf",
        "aff": "School of Software, Tsinghua University, China; KLiss, MOE; School of Software, Tsinghua University, China; National Engineering Laboratory for Big Data Software, Beijing Key Laboratory for Industrial Big Data System and Application",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Hashing as Tie-Aware Learning to Rank",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/He_Hashing_as_Tie-Aware_CVPR_2018_paper.html",
        "author": "Kun He, Fatih Cakir, Sarah Adel Bargal, Stan Sclaroff",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/He_Hashing_as_Tie-Aware_CVPR_2018_paper.pdf",
        "aff": "Department of Computer Science, Boston University",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1705.08562",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Hierarchical Novelty Detection for Visual Object Recognition",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Lee_Hierarchical_Novelty_Detection_CVPR_2018_paper.html",
        "author": "Kibok Lee, Kimin Lee, Kyle Min, Yuting Zhang, Jinwoo Shin, Honglak Lee",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Lee_Hierarchical_Novelty_Detection_CVPR_2018_paper.pdf",
        "aff": "University of Michigan, Ann Arbor, MI, USA; Google Brain, Mountain View, CA, USA; Korea Advanced Institute of Science and Technology, Daejeon, Korea",
        "project": "",
        "github": "",
        "arxiv": "1804.00722v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Hierarchical Recurrent Attention Networks for Structured Online Maps",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Homayounfar_Hierarchical_Recurrent_Attention_CVPR_2018_paper.html",
        "author": "Namdar Homayounfar, Wei-Chiu Ma, Shrinidhi Kowshika Lakshmikanth, Raquel Urtasun",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Homayounfar_Hierarchical_Recurrent_Attention_CVPR_2018_paper.pdf",
        "aff": "Uber ATG Toronto",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "High Performance Visual Tracking With Siamese Region Proposal Network",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Li_High_Performance_Visual_CVPR_2018_paper.html",
        "author": "Bo Li, Junjie Yan, Wei Wu, Zheng Zhu, Xiaolin Hu",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Li_High_Performance_Visual_CVPR_2018_paper.pdf",
        "aff": "Institute of Automation, Chinese Academy of Sciences, University of Chinese Academy of Sciences, SenseTime Group Limited; Tsinghua University; SenseTime Group Limited; SenseTime Group Limited, Beihang University",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "High-Order Tensor Regularization With Application to Attribute Ranking",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Kim_High-Order_Tensor_Regularization_CVPR_2018_paper.html",
        "author": "Kwang In Kim, Juhyun Park, James Tompkin",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Kim_High-Order_Tensor_Regularization_CVPR_2018_paper.pdf",
        "aff": "Brown University; Lancaster University; University of Bath",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "High-Resolution Image Synthesis and Semantic Manipulation With Conditional GANs",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Wang_High-Resolution_Image_Synthesis_CVPR_2018_paper.html",
        "author": "Ting-Chun Wang, Ming-Yu Liu, Jun-Yan Zhu, Andrew Tao, Jan Kautz, Bryan Catanzaro",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Wang_High-Resolution_Image_Synthesis_CVPR_2018_paper.pdf",
        "aff": "NVIDIA Corporation; UC Berkeley",
        "project": "",
        "github": "",
        "arxiv": "1711.11585v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "High-Speed Tracking With Multi-Kernel Correlation Filters",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Tang_High-Speed_Tracking_With_CVPR_2018_paper.html",
        "author": "Ming Tang, Bin Yu, Fan Zhang, Jinqiao Wang",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Tang_High-Speed_Tracking_With_CVPR_2018_paper.pdf",
        "aff": "School of Info. & Comm. Eng., Beijing University of Posts and Telecommunications; National Lab of Pattern Recognition, Institute of Automation, CAS, Beijing 100190, China",
        "project": "",
        "github": "http://www.nlpr.ia.ac.cn/mtang/Publications.htm",
        "arxiv": "1806.06418v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Human Appearance Transfer",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Zanfir_Human_Appearance_Transfer_CVPR_2018_paper.html",
        "author": "Mihai Zanfir, Alin-Ionut Popa, Andrei Zanfir, Cristian Sminchisescu",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Zanfir_Human_Appearance_Transfer_CVPR_2018_paper.pdf",
        "aff": "Department of Mathematics, Faculty of Engineering, Lund University; Institute of Mathematics of the Romanian Academy",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Human Pose Estimation With Parsing Induced Learner",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Nie_Human_Pose_Estimation_CVPR_2018_paper.html",
        "author": "Xuecheng Nie, Jiashi Feng, Yiming Zuo, Shuicheng Yan",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Nie_Human_Pose_Estimation_CVPR_2018_paper.pdf",
        "aff": "Department of Electronic Engineering, Tsinghua University, Beijing, China; Department of Electrical and Computer Engineering, National University of Singapore, Singapore; Department of Electrical and Computer Engineering, National University of Singapore, Singapore and Qihoo 360 AI Institute, Beijing, China",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Human Semantic Parsing for Person Re-Identification",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Kalayeh_Human_Semantic_Parsing_CVPR_2018_paper.html",
        "author": "Mahdi M. Kalayeh, Emrah Basaran, Muhittin G\u00f6kmen, Mustafa E. Kamasak, Mubarak Shah",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Kalayeh_Human_Semantic_Parsing_CVPR_2018_paper.pdf",
        "aff": "Dept. of Computer Engineering, Istanbul Technical University; Dept. of Computer Engineering, MEF University; Center for Research in Computer Vision, University of Central Florida",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1804.00216",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Human-Centric Indoor Scene Synthesis Using Stochastic Grammar",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Qi_Human-Centric_Indoor_Scene_CVPR_2018_paper.html",
        "author": "Siyuan Qi, Yixin Zhu, Siyuan Huang, Chenfanfu Jiang, Song-Chun Zhu",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Qi_Human-Centric_Indoor_Scene_CVPR_2018_paper.pdf",
        "aff": "UCLA Center for Vision, Cognition, Learning and Autonomy; UPenn Computer Graphics Group",
        "project": "",
        "github": "",
        "arxiv": "1808.08473v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Hybrid Camera Pose Estimation",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Camposeco_Hybrid_Camera_Pose_CVPR_2018_paper.html",
        "author": "Federico Camposeco, Andrea Cohen, Marc Pollefeys, Torsten Sattler",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Camposeco_Hybrid_Camera_Pose_CVPR_2018_paper.pdf",
        "aff": "Department of Computer Science, ETH Z\u00fcrich2Microsoft; Department of Computer Science, ETH Z\u00fcrich",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "HydraNets: Specialized Dynamic Architectures for Efficient Inference",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Mullapudi_HydraNets_Specialized_Dynamic_CVPR_2018_paper.html",
        "author": "Ravi Teja Mullapudi, William R. Mark, Noam Shazeer, Kayvon Fatahalian",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Mullapudi_HydraNets_Specialized_Dynamic_CVPR_2018_paper.pdf",
        "aff": "CMU; Stanford University; Google Inc.",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Hyperparameter Optimization for Tracking With Continuous Deep Q-Learning",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Dong_Hyperparameter_Optimization_for_CVPR_2018_paper.html",
        "author": "Xingping Dong, Jianbing Shen, Wenguan Wang, Yu Liu, Ling Shao, Fatih Porikli",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Dong_Hyperparameter_Optimization_for_CVPR_2018_paper.pdf",
        "aff": "Beijing Lab of Intelligent Information Technology, School of Computer Science, Beijing Institute of Technology, China; Research School of Engineering, Australian National University, Australia; Inception Institute of Arti\ufb01cial Intelligence, Abu Dhabi, UAE",
        "project": "",
        "github": "https://github.com/shenjianbing/dqltracking",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "ICE-BA: Incremental, Consistent and Efficient Bundle Adjustment for Visual-Inertial SLAM",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Liu_ICE-BA_Incremental_Consistent_CVPR_2018_paper.html",
        "author": "Haomin Liu, Mingyu Chen, Guofeng Zhang, Hujun Bao, Yingze Bao",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Liu_ICE-BA_Incremental_Consistent_CVPR_2018_paper.pdf",
        "aff": "Baidu; State Key Lab of CAD&CG, Zhejiang University",
        "project": "",
        "github": "https://github.com/baidu/ICE-BA",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "IQA: Visual Question Answering in Interactive Environments",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Gordon_IQA_Visual_Question_CVPR_2018_paper.html",
        "author": "Daniel Gordon, Aniruddha Kembhavi, Mohammad Rastegari, Joseph Redmon, Dieter Fox, Ali Farhadi",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Gordon_IQA_Visual_Question_CVPR_2018_paper.pdf",
        "aff": "Allen Institute for Arti\ufb01cial Intelligence, Xnor.ai; Paul G. Allen School of Computer Science, University of Washington; Paul G. Allen School of Computer Science, University of Washington, Allen Institute for Arti\ufb01cial Intelligence; Paul G. Allen School of Computer Science, University of Washington, Nvidia; Allen Institute for Arti\ufb01cial Intelligence",
        "project": "https://youtu.be/pXd3C-1jr98",
        "github": "",
        "arxiv": "1712.03316v3",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "ISTA-Net: Interpretable Optimization-Inspired Deep Network for Image Compressive Sensing",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Zhang_ISTA-Net_Interpretable_Optimization-Inspired_CVPR_2018_paper.html",
        "author": "Jian Zhang, Bernard Ghanem",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Zhang_ISTA-Net_Interpretable_Optimization-Inspired_CVPR_2018_paper.pdf",
        "aff": "King Abdullah University of Science and Technology (KAUST), Saudi Arabia",
        "project": "",
        "github": "http://jianzhang.tech/projects/ISTA-Net",
        "arxiv": "arXiv:1706.07929",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "IVQA: Inverse Visual Question Answering",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Liu_IVQA_Inverse_Visual_CVPR_2018_paper.html",
        "author": "Feng Liu, Tao Xiang, Timothy M. Hospedales, Wankou Yang, Changyin Sun",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Liu_IVQA_Inverse_Visual_CVPR_2018_paper.pdf",
        "aff": "Southeast University, China; University of Edinburgh, UK; Queen Mary University of London, UK",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1710.03370",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Illuminant Spectra-Based Source Separation Using Flash Photography",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Hui_Illuminant_Spectra-Based_Source_CVPR_2018_paper.html",
        "author": "Zhuo Hui, Kalyan Sunkavalli, Sunil Hadap, Aswin C. Sankaranarayanan",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Hui_Illuminant_Spectra-Based_Source_CVPR_2018_paper.pdf",
        "aff": "Adobe Research; Carnegie Mellon University",
        "project": "",
        "github": "",
        "arxiv": "1704.05564v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Im2Flow: Motion Hallucination From Static Images for Action Recognition",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Gao_Im2Flow_Motion_Hallucination_CVPR_2018_paper.html",
        "author": "Ruohan Gao, Bo Xiong, Kristen Grauman",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Gao_Im2Flow_Motion_Hallucination_CVPR_2018_paper.pdf",
        "aff": "UT Austin",
        "project": "",
        "github": "",
        "arxiv": "1712.04109v3",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Im2Pano3D: Extrapolating 360\u00b0 Structure and Semantics Beyond the Field of View",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Song_Im2Pano3D_Extrapolating_360deg_CVPR_2018_paper.html",
        "author": "Shuran Song, Andy Zeng, Angel X. Chang, Manolis Savva, Silvio Savarese, Thomas Funkhouser",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Song_Im2Pano3D_Extrapolating_360deg_CVPR_2018_paper.pdf",
        "aff": "Princeton University; Stanford University",
        "project": "http://im2pano3d.cs.princeton.edu",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Im2Struct: Recovering 3D Shape Structure From a Single RGB Image",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Niu_Im2Struct_Recovering_3D_CVPR_2018_paper.html",
        "author": "Chengjie Niu, Jun Li, Kai Xu",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Niu_Im2Struct_Recovering_3D_CVPR_2018_paper.pdf",
        "aff": "National University of Defense Technology",
        "project": "",
        "github": "",
        "arxiv": "1804.05469v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Image Blind Denoising With Generative Adversarial Network Based Noise Modeling",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Chen_Image_Blind_Denoising_CVPR_2018_paper.html",
        "author": "Jingwen Chen, Jiawei Chen, Hongyang Chao, Ming Yang",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Chen_Image_Blind_Denoising_CVPR_2018_paper.pdf",
        "aff": "CVTE Research, Guangzhou, P. R. China; Sun Yat-sen University, Guangzhou, P. R. China; The Key Laboratory of Machine Intelligence and Advanced Computing (Sun Yat-sen University), Ministry of Education, Guangzhou, P. R. China",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Image Collection Pop-Up: 3D Reconstruction and Clustering of Rigid and Non-Rigid Categories",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Agudo_Image_Collection_Pop-Up_CVPR_2018_paper.html",
        "author": "Antonio Agudo, Melcior Pijoan, Francesc Moreno-Noguer",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Agudo_Image_Collection_Pop-Up_CVPR_2018_paper.pdf",
        "aff": "Institut de Rob `otica i Inform `atica Industrial, CSIC-UPC, 08028, Barcelona, Spain",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Image Correction via Deep Reciprocating HDR Transformation",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Yang_Image_Correction_via_CVPR_2018_paper.html",
        "author": "Xin Yang, Ke Xu, Yibing Song, Qiang Zhang, Xiaopeng Wei, Rynson W.H. Lau",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Yang_Image_Correction_via_CVPR_2018_paper.pdf",
        "aff": "Dalian University of Technology; City University of Hong Kong; Tencent AI Lab",
        "project": "",
        "github": "https://ybsong00.github.io/cvpr18_imgcorrect/index",
        "arxiv": "1804.04371v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Image Generation From Scene Graphs",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Johnson_Image_Generation_From_CVPR_2018_paper.html",
        "author": "Justin Johnson, Agrim Gupta, Li Fei-Fei",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Johnson_Image_Generation_From_CVPR_2018_paper.pdf",
        "aff": "Stanford University, Google Cloud AI",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1804.01622",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Image Restoration by Estimating Frequency Distribution of Local Patches",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Yoo_Image_Restoration_by_CVPR_2018_paper.html",
        "author": "Jaeyoung Yoo, Sang-ho Lee, Nojun Kwak",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Yoo_Image_Restoration_by_CVPR_2018_paper.pdf",
        "aff": "Seoul National University, NALBI Inc.; Seoul National University",
        "project": "",
        "github": "",
        "arxiv": "1805.09097v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Image Super-Resolution via Dual-State Recurrent Networks",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Han_Image_Super-Resolution_via_CVPR_2018_paper.html",
        "author": "Wei Han, Shiyu Chang, Ding Liu, Mo Yu, Michael Witbrock, Thomas S. Huang",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Han_Image_Super-Resolution_via_CVPR_2018_paper.pdf",
        "aff": "University of Illinois at Urbana-Champaign; IBM Research",
        "project": "",
        "github": "https://github.com/weihan3/dsrn",
        "arxiv": "1805.02704v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Image to Image Translation for Domain Adaptation",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Murez_Image_to_Image_CVPR_2018_paper.html",
        "author": "Zak Murez, Soheil Kolouri, David Kriegman, Ravi Ramamoorthi, Kyungnam Kim",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Murez_Image_to_Image_CVPR_2018_paper.pdf",
        "aff": "University of California, San Diego; HRL Laboratories, LLC; University of California, San Diego; HRL Laboratories, LLC",
        "project": "",
        "github": "",
        "arxiv": "1712.00479v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Image-Image Domain Adaptation With Preserved Self-Similarity and Domain-Dissimilarity for Person Re-Identification",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Deng_Image-Image_Domain_Adaptation_CVPR_2018_paper.html",
        "author": "Weijian Deng, Liang Zheng, Qixiang Ye, Guoliang Kang, Yi Yang, Jianbin Jiao",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Deng_Image-Image_Domain_Adaptation_CVPR_2018_paper.pdf",
        "aff": "University of Chinese Academy of Sciences; University of Technology Sydney",
        "project": "",
        "github": "",
        "arxiv": "1711.07027v3",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Importance Weighted Adversarial Nets for Partial Domain Adaptation",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Zhang_Importance_Weighted_Adversarial_CVPR_2018_paper.html",
        "author": "Jing Zhang, Zewei Ding, Wanqing Li, Philip Ogunbona",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Zhang_Importance_Weighted_Adversarial_CVPR_2018_paper.pdf",
        "aff": "Advanced Multimedia Research Lab, University of Wollongong, Australia",
        "project": "",
        "github": "",
        "arxiv": "1803.09210v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Improved Fusion of Visual and Language Representations by Dense Symmetric Co-Attention for Visual Question Answering",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Nguyen_Improved_Fusion_of_CVPR_2018_paper.html",
        "author": "Duy-Kien Nguyen, Takayuki Okatani",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Nguyen_Improved_Fusion_of_CVPR_2018_paper.pdf",
        "aff": "Tohoku University and RIKEN Center for AIP; Tohoku University",
        "project": "",
        "github": "",
        "arxiv": "1804.00775v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Improved Lossy Image Compression With Priming and Spatially Adaptive Bit Rates for Recurrent Networks",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Johnston_Improved_Lossy_Image_CVPR_2018_paper.html",
        "author": "Nick Johnston, Damien Vincent, David Minnen, Michele Covell, Saurabh Singh, Troy Chinen, Sung Jin Hwang, Joel Shor, George Toderici",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Johnston_Improved_Lossy_Image_CVPR_2018_paper.pdf",
        "aff": "Google Research",
        "project": "",
        "github": "",
        "arxiv": "1703.10114v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Improvements to Context Based Self-Supervised Learning",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Mundhenk_Improvements_to_Context_CVPR_2018_paper.html",
        "author": "T. Nathan Mundhenk, Daniel Ho, Barry Y. Chen",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Mundhenk_Improvements_to_Context_CVPR_2018_paper.pdf",
        "aff": "Computational Engineering Division, Lawrence Livermore National Laboratory, Livermore, California; EECS Department, University of California, Berkeley, Berkeley, California",
        "project": "https://gdo-datasci.llnl.gov/selfsupervised/",
        "github": "",
        "arxiv": "arXiv:1711.06379",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Improving Color Reproduction Accuracy on Cameras",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Karaimer_Improving_Color_Reproduction_CVPR_2018_paper.html",
        "author": "Hakki Can Karaimer, Michael S. Brown",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Karaimer_Improving_Color_Reproduction_CVPR_2018_paper.pdf",
        "aff": "York University, Toronto",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Improving Landmark Localization With Semi-Supervised Learning",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Honari_Improving_Landmark_Localization_CVPR_2018_paper.html",
        "author": "Sina Honari, Pavlo Molchanov, Stephen Tyree, Pascal Vincent, Christopher Pal, Jan Kautz",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Honari_Improving_Landmark_Localization_CVPR_2018_paper.pdf",
        "aff": "MILA-University of Montreal; Ecole Polytechnique of Montreal; NVIDIA",
        "project": "",
        "github": "",
        "arxiv": "1709.01591v7",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Improving Object Localization With Fitness NMS and Bounded IoU Loss",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Tychsen-Smith_Improving_Object_Localization_CVPR_2018_paper.html",
        "author": "Lachlan Tychsen-Smith, Lars Petersson",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Tychsen-Smith_Improving_Object_Localization_CVPR_2018_paper.pdf",
        "aff": "CSIRO (Data61)",
        "project": "",
        "github": "https://github.com/lachlants/denet",
        "arxiv": "arXiv:1711.00164",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Improving Occlusion and Hard Negative Handling for Single-Stage Pedestrian Detectors",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Noh_Improving_Occlusion_and_CVPR_2018_paper.html",
        "author": "Junhyug Noh, Soochan Lee, Beomsu Kim, Gunhee Kim",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Noh_Improving_Occlusion_and_CVPR_2018_paper.pdf",
        "aff": "Department of Computer Science and Engineering, Seoul National University, Seoul, Korea",
        "project": "http://vision.snu.ac.kr/projects/partgridnet",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "In-Place Activated BatchNorm for Memory-Optimized Training of DNNs",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Bulo_In-Place_Activated_BatchNorm_CVPR_2018_paper.html",
        "author": "Samuel Rota Bul\u00f2, Lorenzo Porzi, Peter Kontschieder",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Bulo_In-Place_Activated_BatchNorm_CVPR_2018_paper.pdf",
        "aff": "Mapillary Research",
        "project": "",
        "github": "https://github.com/mapillary/inplace_abn",
        "arxiv": "arXiv:1712.02616",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "InLoc: Indoor Visual Localization With Dense Matching and View Synthesis",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Taira_InLoc_Indoor_Visual_CVPR_2018_paper.html",
        "author": "Hajime Taira, Masatoshi Okutomi, Torsten Sattler, Mircea Cimpoi, Marc Pollefeys, Josef Sivic, Tomas Pajdla, Akihiko Torii",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Taira_InLoc_Indoor_Visual_CVPR_2018_paper.pdf",
        "aff": "Tokyo Institute of Technology; Department of Computer Science, ETH Z\u00fcrich\u2217Microsoft, Redmond; Department of Computer Science, ETH Z\u00fcrich; CIIRC, CTU in Prague\u2020Inria; CIIRC, CTU in Prague",
        "project": "",
        "github": "",
        "arxiv": "1803.10368v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Independently Recurrent Neural Network (IndRNN): Building a Longer and Deeper RNN",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Li_Independently_Recurrent_Neural_CVPR_2018_paper.html",
        "author": "Shuai Li, Wanqing Li, Chris Cook, Ce Zhu, Yanbo Gao",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Li_Independently_Recurrent_Neural_CVPR_2018_paper.pdf",
        "aff": "School of Computing and Information Technology, University of Wollongong; School of Electronic Engineering, University of Electronic Science and Technology of China",
        "project": "",
        "github": "",
        "arxiv": "1803.04831v3",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Indoor RGB-D Compass From a Single Line and Plane",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Kim_Indoor_RGB-D_Compass_CVPR_2018_paper.html",
        "author": "Pyojin Kim, Brian Coltin, H. Jin Kim",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Kim_Indoor_RGB-D_Compass_CVPR_2018_paper.pdf",
        "aff": "SGT, Inc., NASA Ames Research Center, USA; ASRI, Seoul National University, South Korea",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Inference in Higher Order MRF-MAP Problems With Small and Large Cliques",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Shanu_Inference_in_Higher_CVPR_2018_paper.html",
        "author": "Ishant Shanu, Chetan Arora, S.N. Maheshwari",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Shanu_Inference_in_Higher_CVPR_2018_paper.pdf",
        "aff": "IIIT Delhi; IIT Delhi",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Inferring Light Fields From Shadows",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Baradad_Inferring_Light_Fields_CVPR_2018_paper.html",
        "author": "Manel Baradad, Vickie Ye, Adam B. Yedidia, Fr\u00e9do Durand, William T. Freeman, Gregory W. Wornell, Antonio Torralba",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Baradad_Inferring_Light_Fields_CVPR_2018_paper.pdf",
        "aff": "Massachusetts Institute of Technology; Massachusetts Institute of Technology, Google Research",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Inferring Semantic Layout for Hierarchical Text-to-Image Synthesis",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Hong_Inferring_Semantic_Layout_CVPR_2018_paper.html",
        "author": "Seunghoon Hong, Dingdong Yang, Jongwook Choi, Honglak Lee",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Hong_Inferring_Semantic_Layout_CVPR_2018_paper.pdf",
        "aff": "University of Michigan; Google Brain",
        "project": "",
        "github": "",
        "arxiv": "1801.05091v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Inferring Shared Attention in Social Scene Videos",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Fan_Inferring_Shared_Attention_CVPR_2018_paper.html",
        "author": "Lifeng Fan, Yixin Chen, Ping Wei, Wenguan Wang, Song-Chun Zhu",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Fan_Inferring_Shared_Attention_CVPR_2018_paper.pdf",
        "aff": "Xi\u2019an Jiaotong University, Xi\u2019 an, China; Center for Vision, Cognition, Learning and Autonomy, UCLA, Los Angeles, USA; Beijing Institute of Technology, Beijing, China",
        "project": "http://www.stat.ucla.edu/~lifengfan/shared_attention",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Instance Embedding Transfer to Unsupervised Video Object Segmentation",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Li_Instance_Embedding_Transfer_CVPR_2018_paper.html",
        "author": "Siyang Li, Bryan Seybold, Alexey Vorobyov, Alireza Fathi, Qin Huang, C.-C. Jay Kuo",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Li_Instance_Embedding_Transfer_CVPR_2018_paper.pdf",
        "aff": "University of Southern California; Google AI Perception",
        "project": "",
        "github": "",
        "arxiv": "1801.00908v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Interactive Image Segmentation With Latent Diversity",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Li_Interactive_Image_Segmentation_CVPR_2018_paper.html",
        "author": "Zhuwen Li, Qifeng Chen, Vladlen Koltun",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Li_Interactive_Image_Segmentation_CVPR_2018_paper.pdf",
        "aff": "Intel Labs; Vladlen Koltun",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Interleaved Structured Sparse Convolutional Neural Networks",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Xie_Interleaved_Structured_Sparse_CVPR_2018_paper.html",
        "author": "Guotian Xie, Jingdong Wang, Ting Zhang, Jianhuang Lai, Richang Hong, Guo-Jun Qi",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Xie_Interleaved_Structured_Sparse_CVPR_2018_paper.pdf",
        "aff": "Hefei University of Technology; Microsoft Research; Sun Yat-Sen University, Guangdong Key Laboratory of Information Security Technology; University of Central Florida",
        "project": "",
        "github": "",
        "arxiv": "1804.06202v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Interpret Neural Networks by Identifying Critical Data Routing Paths",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Wang_Interpret_Neural_Networks_CVPR_2018_paper.html",
        "author": "Yulong Wang, Hang Su, Bo Zhang, Xiaolin Hu",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Wang_Interpret_Neural_Networks_CVPR_2018_paper.pdf",
        "aff": "Tsinghua National Lab for Information Science and Technology, Beijing National Research Center for Information Science and Technology, BNRist Lab, Department of Computer Science and Technology, Tsinghua University",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Interpretable Convolutional Neural Networks",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Zhang_Interpretable_Convolutional_Neural_CVPR_2018_paper.html",
        "author": "Quanshi Zhang, Ying Nian Wu, Song-Chun Zhu",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Zhang_Interpretable_Convolutional_Neural_CVPR_2018_paper.pdf",
        "aff": "University of California, Los Angeles",
        "project": "",
        "github": "https://github.com/zqs1022/interpretableCNN",
        "arxiv": "arXiv:1807.10584",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Interpretable Video Captioning via Trajectory Structured Localization",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Wu_Interpretable_Video_Captioning_CVPR_2018_paper.html",
        "author": "Xian Wu, Guanbin Li, Qingxing Cao, Qingge Ji, Liang Lin",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Wu_Interpretable_Video_Captioning_CVPR_2018_paper.pdf",
        "aff": "Sun Yat-sen University; Sun Yat-sen University, SenseTime Group Limited",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Intrinsic Image Transformation via Scale Space Decomposition",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Cheng_Intrinsic_Image_Transformation_CVPR_2018_paper.html",
        "author": "Lechao Cheng, Chengyi Zhang, Zicheng Liao",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Cheng_Intrinsic_Image_Transformation_CVPR_2018_paper.pdf",
        "aff": "College of Computer Science, Zhejiang University; College of Computer Science, Zhejiang University; Alibaba - Zhejiang University Joint Institute of Frontier Technologies",
        "project": "",
        "github": "",
        "arxiv": "1805.10253v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Inverse Composition Discriminative Optimization for Point Cloud Registration",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Vongkulbhisal_Inverse_Composition_Discriminative_CVPR_2018_paper.html",
        "author": "Jayakorn Vongkulbhisal, Be\u00f1at Irastorza Ugalde, Fernando De la Torre, Jo\u00e3o P. Costeira",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Vongkulbhisal_Inverse_Composition_Discriminative_CVPR_2018_paper.pdf",
        "aff": "ISR - IST, Universidade de Lisboa, Lisboa, Portugal; Carnegie Mellon University, Pittsburgh, PA, USA",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "InverseFaceNet: Deep Monocular Inverse Face Rendering",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Kim_InverseFaceNet_Deep_Monocular_CVPR_2018_paper.html",
        "author": "Hyeongwoo Kim, Michael Zollh\u00f6fer, Ayush Tewari, Justus Thies, Christian Richardt, Christian Theobalt",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Kim_InverseFaceNet_Deep_Monocular_CVPR_2018_paper.pdf",
        "aff": "Technical University of Munich; Max-Planck-Institute for Informatics, Saarland Informatics Campus; Max-Planck-Institute for Informatics, Saarland Informatics Campus, Stanford University; University of Bath",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1703.10956",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Iterative Learning With Open-Set Noisy Labels",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Wang_Iterative_Learning_With_CVPR_2018_paper.html",
        "author": "Yisen Wang, Weiyang Liu, Xingjun Ma, James Bailey, Hongyuan Zha, Le Song, Shu-Tao Xia",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Wang_Iterative_Learning_With_CVPR_2018_paper.pdf",
        "aff": "Tsinghua University; The University of Melbourne; Georgia Institute of Technology",
        "project": "",
        "github": "",
        "arxiv": "1804.00092v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Iterative Visual Reasoning Beyond Convolutions",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Chen_Iterative_Visual_Reasoning_CVPR_2018_paper.html",
        "author": "Xinlei Chen, Li-Jia Li, Li Fei-Fei, Abhinav Gupta",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Chen_Iterative_Visual_Reasoning_CVPR_2018_paper.pdf",
        "aff": "Carnegie Mellon University; Google",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1803.11189",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Jerk-Aware Video Acceleration Magnification",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Takeda_Jerk-Aware_Video_Acceleration_CVPR_2018_paper.html",
        "author": "Shoichiro Takeda, Kazuki Okami, Dan Mikami, Megumi Isogai, Hideaki Kimata",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Takeda_Jerk-Aware_Video_Acceleration_CVPR_2018_paper.pdf",
        "aff": "NTT Media Intelligence Laboratories",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Joint Cuts and Matching of Partitions in One Graph",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Yu_Joint_Cuts_and_CVPR_2018_paper.html",
        "author": "Tianshu Yu, Junchi Yan, Jieyi Zhao, Baoxin Li",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Yu_Joint_Cuts_and_CVPR_2018_paper.pdf",
        "aff": "Univ. of Texas at Houston; Arizona State Univ.; Shanghai Jiao Tong University, IBM Research",
        "project": "",
        "github": "",
        "arxiv": "1711.09584v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Joint Optimization Framework for Learning With Noisy Labels",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Tanaka_Joint_Optimization_Framework_CVPR_2018_paper.html",
        "author": "Daiki Tanaka, Daiki Ikami, Toshihiko Yamasaki, Kiyoharu Aizawa",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Tanaka_Joint_Optimization_Framework_CVPR_2018_paper.pdf",
        "aff": "The University of Tokyo, Japan",
        "project": "",
        "github": "",
        "arxiv": "1803.11364v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Joint Pose and Expression Modeling for Facial Expression Recognition",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Zhang_Joint_Pose_and_CVPR_2018_paper.html",
        "author": "Feifei Zhang, Tianzhu Zhang, Qirong Mao, Changsheng Xu",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Zhang_Joint_Pose_and_CVPR_2018_paper.pdf",
        "aff": "School of Computer Science and Communication Engineering, Jiangsu University, China; National Laboratory of Pattern Recognition, Institute of Automation, CAS; University of Chinese Academy of Sciences",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Jointly Localizing and Describing Events for Dense Video Captioning",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Li_Jointly_Localizing_and_CVPR_2018_paper.html",
        "author": "Yehao Li, Ting Yao, Yingwei Pan, Hongyang Chao, Tao Mei",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Li_Jointly_Localizing_and_CVPR_2018_paper.pdf",
        "aff": "University of Science and Technology of China, Hefei, China; Microsoft Research, Beijing, China; School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China",
        "project": "",
        "github": "",
        "arxiv": "1804.08274v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Jointly Optimize Data Augmentation and Network Training: Adversarial Data Augmentation in Human Pose Estimation",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Peng_Jointly_Optimize_Data_CVPR_2018_paper.html",
        "author": "Xi Peng, Zhiqiang Tang, Fei Yang, Rogerio S. Feris, Dimitris Metaxas",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Peng_Jointly_Optimize_Data_CVPR_2018_paper.pdf",
        "aff": "Rutgers University; Facebook; IBM T.J. Watson Research Center",
        "project": "https://sites.google.com/site/xipengcshomepage/cvpr2018",
        "github": "",
        "arxiv": "1805.09707v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "KIPPI: KInetic Polygonal Partitioning of Images",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Bauchet_KIPPI_KInetic_Polygonal_CVPR_2018_paper.html",
        "author": "Jean-Philippe Bauchet, Florent Lafarge",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Bauchet_KIPPI_KInetic_Polygonal_CVPR_2018_paper.pdf",
        "aff": "Inria \u2013 Universit\u00e8 C\u00f4te d\u2019Azur",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Kernelized Subspace Pooling for Deep Local Descriptors",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Wei_Kernelized_Subspace_Pooling_CVPR_2018_paper.html",
        "author": "Xing Wei, Yue Zhang, Yihong Gong, Nanning Zheng",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Wei_Kernelized_Subspace_Pooling_CVPR_2018_paper.pdf",
        "aff": "Institute of Arti\ufb01cial Intelligence and Robotics, Xi\u2019an Jiaotong University",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Knowledge Aided Consistency for Weakly Supervised Phrase Grounding",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Chen_Knowledge_Aided_Consistency_CVPR_2018_paper.html",
        "author": "Kan Chen, Jiyang Gao, Ram Nevatia",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Chen_Knowledge_Aided_Consistency_CVPR_2018_paper.pdf",
        "aff": "Institute for Robotics and Intelligent Systems, University of Southern California, Los Angeles, CA 90089, USA",
        "project": "",
        "github": "",
        "arxiv": "1803.03879v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "LAMV: Learning to Align and Match Videos With Kernelized Temporal Layers",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Baraldi_LAMV_Learning_to_CVPR_2018_paper.html",
        "author": "Lorenzo Baraldi, Matthijs Douze, Rita Cucchiara, Herv\u00e9 J\u00e9gou",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Baraldi_LAMV_Learning_to_CVPR_2018_paper.pdf",
        "aff": "Facebook AI Research; University of Modena and Reggio Emilia",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "LDMNet: Low Dimensional Manifold Regularized Neural Networks",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Zhu_LDMNet_Low_Dimensional_CVPR_2018_paper.html",
        "author": "Wei Zhu, Qiang Qiu, Jiaji Huang, Robert Calderbank, Guillermo Sapiro, Ingrid Daubechies",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Zhu_LDMNet_Low_Dimensional_CVPR_2018_paper.pdf",
        "aff": "Duke University; Baidu Silicon Valley AI Lab",
        "project": "",
        "github": "",
        "arxiv": "1711.06246v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "LEGO: Learning Edge With Geometry All at Once by Watching Videos",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Yang_LEGO_Learning_Edge_CVPR_2018_paper.html",
        "author": "Zhenheng Yang, Peng Wang, Yang Wang, Wei Xu, Ram Nevatia",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Yang_LEGO_Learning_Edge_CVPR_2018_paper.pdf",
        "aff": "Baidu Research; University of Southern California; National Engineering Laboratory for Deep Learning Technology and Applications",
        "project": "",
        "github": "",
        "arxiv": "1803.05648v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "LIME: Live Intrinsic Material Estimation",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Meka_LIME_Live_Intrinsic_CVPR_2018_paper.html",
        "author": "Abhimitra Meka, Maxim Maximov, Michael Zollh\u00f6fer, Avishek Chatterjee, Hans-Peter Seidel, Christian Richardt, Christian Theobalt",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Meka_LIME_Live_Intrinsic_CVPR_2018_paper.pdf",
        "aff": "University of Bath; MPI Informatics, Saarland Informatics Campus, Stanford University; MPI Informatics, Saarland Informatics Campus",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1801.01075",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "LSTM Pose Machines",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Luo_LSTM_Pose_Machines_CVPR_2018_paper.html",
        "author": "Yue Luo, Jimmy Ren, Zhouxia Wang, Wenxiu Sun, Jinshan Pan, Jianbo Liu, Jiahao Pang, Liang Lin",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Luo_LSTM_Pose_Machines_CVPR_2018_paper.pdf",
        "aff": "SenseTime Research, Sun Yat-sen University, China; SenseTime Research",
        "project": "",
        "github": "https://github.com/lawy623/LSTM_Pose_Machines",
        "arxiv": "1712.06316v4",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Label Denoising Adversarial Network (LDAN) for Inverse Lighting of Faces",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Zhou_Label_Denoising_Adversarial_CVPR_2018_paper.html",
        "author": "Hao Zhou, Jin Sun, Yaser Yacoob, David W. Jacobs",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Zhou_Label_Denoising_Adversarial_CVPR_2018_paper.pdf",
        "aff": "University of Maryland, College Park, MD, USA",
        "project": "",
        "github": "",
        "arxiv": "1709.01993v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Language-Based Image Editing With Recurrent Attentive Models",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Chen_Language-Based_Image_Editing_CVPR_2018_paper.html",
        "author": "Jianbo Chen, Yelong Shen, Jianfeng Gao, Jingjing Liu, Xiaodong Liu",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Chen_Language-Based_Image_Editing_CVPR_2018_paper.pdf",
        "aff": "Microsoft Research; University of California, Berkeley",
        "project": "",
        "github": "",
        "arxiv": "1711.06288v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Cui_Large_Scale_Fine-Grained_CVPR_2018_paper.html",
        "author": "Yin Cui, Yang Song, Chen Sun, Andrew Howard, Serge Belongie",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Cui_Large_Scale_Fine-Grained_CVPR_2018_paper.pdf",
        "aff": "Department of Computer Science, Cornell University; Cornell Tech; Google Research",
        "project": "",
        "github": "",
        "arxiv": "1806.06193v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Large-Scale Distance Metric Learning With Uncertainty",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Qian_Large-Scale_Distance_Metric_CVPR_2018_paper.html",
        "author": "Qi Qian, Jiasheng Tang, Hao Li, Shenghuo Zhu, Rong Jin",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Qian_Large-Scale_Distance_Metric_CVPR_2018_paper.pdf",
        "aff": "Alibaba Group, Bellevue, WA, 98004, USA",
        "project": "",
        "github": "",
        "arxiv": "1805.10384v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Large-Scale Point Cloud Semantic Segmentation With Superpoint Graphs",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Landrieu_Large-Scale_Point_Cloud_CVPR_2018_paper.html",
        "author": "Loic Landrieu, Martin Simonovsky",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Landrieu_Large-Scale_Point_Cloud_CVPR_2018_paper.pdf",
        "aff": "Universit \u00b4e Paris-Est, LASTIG MATIS IGN, ENSG; Universit \u00b4e Paris-Est, Ecole des Ponts ParisTech",
        "project": "",
        "github": "",
        "arxiv": "1711.09869v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Latent RANSAC",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Korman_Latent_RANSAC_CVPR_2018_paper.html",
        "author": "Simon Korman, Roee Litman",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Korman_Latent_RANSAC_CVPR_2018_paper.pdf",
        "aff": "Weizmann Institute of Science, Israel; General Motors, Israel",
        "project": "",
        "github": "",
        "arxiv": "1802.07045v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "LayoutNet: Reconstructing the 3D Room Layout From a Single RGB Image",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Zou_LayoutNet_Reconstructing_the_CVPR_2018_paper.html",
        "author": "Chuhang Zou, Alex Colburn, Qi Shan, Derek Hoiem",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Zou_LayoutNet_Reconstructing_the_CVPR_2018_paper.pdf",
        "aff": "University of Illinois at Urbana-Champaign; Zillow Group",
        "project": "",
        "github": "https://github.com/zouchuhang/LayoutNet",
        "arxiv": "1803.08999v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Lean Multiclass Crowdsourcing",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Van_Horn_Lean_Multiclass_Crowdsourcing_CVPR_2018_paper.html",
        "author": "Grant Van Horn, Steve Branson, Scott Loarie, Serge Belongie, Pietro Perona",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Van_Horn_Lean_Multiclass_Crowdsourcing_CVPR_2018_paper.pdf",
        "aff": "iNaturalist; Cornell Tech; Caltech",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Learned Shape-Tailored Descriptors for Segmentation",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Khan_Learned_Shape-Tailored_Descriptors_CVPR_2018_paper.html",
        "author": "Naeemullah Khan, Ganesh Sundaramoorthi",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Khan_Learned_Shape-Tailored_Descriptors_CVPR_2018_paper.pdf",
        "aff": "King Abdullah University of Science and Technology (KAUST), Saudi Arabia",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Learning 3D Shape Completion From Laser Scan Data With Weak Supervision",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Stutz_Learning_3D_Shape_CVPR_2018_paper.html",
        "author": "David Stutz, Andreas Geiger",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Stutz_Learning_3D_Shape_CVPR_2018_paper.pdf",
        "aff": "Autonomous Vision Group, MPI for Intelligent Systems and University of T\u00fcbingen; Computer Vision and Geometry Group, ETH Z\u00fcrich; Autonomous Vision Group, MPI for Intelligent Systems and University of T\u00fcbingen; Computer Vision and Multimodal Computing, Max-Planck Institute for Informatics, Saarbr\u00fccken",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Learning Answer Embeddings for Visual Question Answering",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Hu_Learning_Answer_Embeddings_CVPR_2018_paper.html",
        "author": "Hexiang Hu, Wei-Lun Chao, Fei Sha",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Hu_Learning_Answer_Embeddings_CVPR_2018_paper.pdf",
        "aff": "U. of Southern California, Los Angeles, CA",
        "project": "",
        "github": "",
        "arxiv": "1806.03724v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Learning Attentions: Residual Attentional Siamese Network for High Performance Online Visual Tracking",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Wang_Learning_Attentions_Residual_CVPR_2018_paper.html",
        "author": "Qiang Wang, Zhu Teng, Junliang Xing, Jin Gao, Weiming Hu, Stephen Maybank",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Wang_Learning_Attentions_Residual_CVPR_2018_paper.pdf",
        "aff": "National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China; University of Chinese Academy of Sciences, Beijing, China; Department of Computer Science and Information Systems, Birkbeck College, University of London, UK.; School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Learning Attribute Representations With Localization for Flexible Fashion Search",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Ak_Learning_Attribute_Representations_CVPR_2018_paper.html",
        "author": "Kenan E. Ak, Ashraf A. Kassim, Joo Hwee Lim, Jo Yew Tham",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Ak_Learning_Attribute_Representations_CVPR_2018_paper.pdf",
        "aff": "Institute for Infocomm Research, A*STAR, Singapore; National University of Singapore, Singapore; ESP xMedia Pte. Ltd., Singapore",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Learning Compact Recurrent Neural Networks With Block-Term Tensor Decomposition",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Ye_Learning_Compact_Recurrent_CVPR_2018_paper.html",
        "author": "Jinmian Ye, Linnan Wang, Guangxi Li, Di Chen, Shandian Zhe, Xinqi Chu, Zenglin Xu",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Ye_Learning_Compact_Recurrent_CVPR_2018_paper.pdf",
        "aff": "SMILE Lab, University of Electronic Science and Technology of China; School of Computing, University of Utah; Department of Computer Science, Brown University; Xjera Labs, Pte.Ltd",
        "project": "",
        "github": "",
        "arxiv": "1712.05134v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Learning Compositional Visual Concepts With Mutual Consistency",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Gong_Learning_Compositional_Visual_CVPR_2018_paper.html",
        "author": "Yunye Gong, Srikrishna Karanam, Ziyan Wu, Kuan-Chuan Peng, Jan Ernst, Peter C. Doerschuk",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Gong_Learning_Compositional_Visual_CVPR_2018_paper.pdf",
        "aff": "School of Electrical and Computer Engineering, Cornell University, Ithaca NY; Nancy E. and Peter C. Meinig School of Biomedical Engineering, Cornell University, Ithaca NY; Siemens Corporate Technology, Princeton NJ; School of Electrical and Computer Engineering, Cornell University, Ithaca NY",
        "project": "",
        "github": "",
        "arxiv": "1711.06148v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Learning Compressible 360\u00b0 Video Isomers",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Su_Learning_Compressible_360deg_CVPR_2018_paper.html",
        "author": "Yu-Chuan Su, Kristen Grauman",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Su_Learning_Compressible_360deg_CVPR_2018_paper.pdf",
        "aff": "The University of Texas at Austin",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Learning Convolutional Networks for Content-Weighted Image Compression",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Li_Learning_Convolutional_Networks_CVPR_2018_paper.html",
        "author": "Mu Li, Wangmeng Zuo, Shuhang Gu, Debin Zhao, David Zhang",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Li_Learning_Convolutional_Networks_CVPR_2018_paper.pdf",
        "aff": "School of Computer Science and Technology, Harbin Institute of Technology; Department of Computing, The Hong Kong Polytechnic University",
        "project": "",
        "github": "",
        "arxiv": "1703.10553v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Learning Deep Descriptors With Scale-Aware Triplet Networks",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Keller_Learning_Deep_Descriptors_CVPR_2018_paper.html",
        "author": "Michel Keller, Zetao Chen, Fabiola Maffra, Patrik Schmuck, Margarita Chli",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Keller_Learning_Deep_Descriptors_CVPR_2018_paper.pdf",
        "aff": "Vision for Robotics Lab, ETH Zurich, Switzerland",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Learning Deep Models for Face Anti-Spoofing: Binary or Auxiliary Supervision",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Liu_Learning_Deep_Models_CVPR_2018_paper.html",
        "author": "Yaojie Liu, Amin Jourabloo, Xiaoming Liu",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Liu_Learning_Deep_Models_CVPR_2018_paper.pdf",
        "aff": "Department of Computer Science and Engineering, Michigan State University, East Lansing MI 48824",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1803.11097",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Learning Deep Sketch Abstraction",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Muhammad_Learning_Deep_Sketch_CVPR_2018_paper.html",
        "author": "Umar Riaz Muhammad, Yongxin Yang, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Muhammad_Learning_Deep_Sketch_CVPR_2018_paper.pdf",
        "aff": "The University of Edinburgh; SketchX, Queen Mary University of London and The University of Edinburgh; SketchX, Queen Mary University of London",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1804.04804",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Learning Deep Structured Active Contours End-to-End",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Marcos_Learning_Deep_Structured_CVPR_2018_paper.html",
        "author": "Diego Marcos, Devis Tuia, Benjamin Kellenberger, Lisa Zhang, Min Bai, Renjie Liao, Raquel Urtasun",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Marcos_Learning_Deep_Structured_CVPR_2018_paper.pdf",
        "aff": "University of Toronto, Canada; University of Wageningen, Netherlands",
        "project": "",
        "github": "https://github.com/dmarcosg/DSAC",
        "arxiv": "1803.06329v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Learning Depth From Monocular Videos Using Direct Methods",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Wang_Learning_Depth_From_CVPR_2018_paper.html",
        "author": "Chaoyang Wang, Jos\u00e9 Miguel Buenaposada, Rui Zhu, Simon Lucey",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Wang_Learning_Depth_From_CVPR_2018_paper.pdf",
        "aff": "Carnegie Mellon University, Universidad Rey Juan Carlos; Carnegie Mellon University",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1712.00175",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Learning Descriptor Networks for 3D Shape Synthesis and Analysis",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Xie_Learning_Descriptor_Networks_CVPR_2018_paper.html",
        "author": "Jianwen Xie, Zilong Zheng, Ruiqi Gao, Wenguan Wang, Song-Chun Zhu, Ying Nian Wu",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Xie_Learning_Descriptor_Networks_CVPR_2018_paper.pdf",
        "aff": "University of California, Los Angeles; University of California, Los Angeles and Beijing Institute of Technology; Hikvision Research Institute",
        "project": "",
        "github": "",
        "arxiv": "1804.00586v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Learning Distributions of Shape Trajectories From Longitudinal Datasets: A Hierarchical Model on a Manifold of Diffeomorphisms",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Bone_Learning_Distributions_of_CVPR_2018_paper.html",
        "author": "Alexandre B\u00f4ne, Olivier Colliot, Stanley Durrleman",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Bone_Learning_Distributions_of_CVPR_2018_paper.pdf",
        "aff": "Inria, Aramis project-team, Paris, France; Institut du Cerveau et de la Moelle \u00b4epini`ere, Inserm, CNRS, Sorbonne Universit\u00b4e, Paris, France",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1803.10119",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Learning Dual Convolutional Neural Networks for Low-Level Vision",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Pan_Learning_Dual_Convolutional_CVPR_2018_paper.html",
        "author": "Jinshan Pan, Sifei Liu, Deqing Sun, Jiawei Zhang, Yang Liu, Jimmy Ren, Zechao Li, Jinhui Tang, Huchuan Lu, Yu-Wing Tai, Ming-Hsuan Yang",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Pan_Learning_Dual_Convolutional_CVPR_2018_paper.pdf",
        "aff": "",
        "project": "",
        "github": "",
        "arxiv": "1805.05020v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Learning Face Age Progression: A Pyramid Architecture of GANs",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Yang_Learning_Face_Age_CVPR_2018_paper.html",
        "author": "Hongyu Yang, Di Huang, Yunhong Wang, Anil K. Jain",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Yang_Learning_Face_Age_CVPR_2018_paper.pdf",
        "aff": "Michigan State University, USA; Beijing Advanced Innovation Center for Big Data and Brain Computing, Beihang University, China",
        "project": "",
        "github": "",
        "arxiv": "1711.10352v4",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Learning Facial Action Units From Web Images With Scalable Weakly Supervised Clustering",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Zhao_Learning_Facial_Action_CVPR_2018_paper.html",
        "author": "Kaili Zhao, Wen-Sheng Chu, Aleix M. Martinez",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Zhao_Learning_Facial_Action_CVPR_2018_paper.pdf",
        "aff": "Robotics Institute, Carnegie Mellon University; School of Comm. and Info. Engineering, Beijing University of Posts and Telecom.; Dept. of Electrical and Computer Engineering, The Ohio State University",
        "project": "",
        "github": "https://github.com/zkl20061823",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Learning From Millions of 3D Scans for Large-Scale 3D Face Recognition",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Gilani_Learning_From_Millions_CVPR_2018_paper.html",
        "author": "Syed Zulqarnain Gilani, Ajmal Mian",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Gilani_Learning_From_Millions_CVPR_2018_paper.pdf",
        "aff": "Computer Science and Software Engineering, The University of Western Australia",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1711.05942",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Learning From Noisy Web Data With Category-Level Supervision",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Niu_Learning_From_Noisy_CVPR_2018_paper.html",
        "author": "Li Niu, Qingtao Tang, Ashok Veeraraghavan, Ashutosh Sabharwal",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Niu_Learning_From_Noisy_CVPR_2018_paper.pdf",
        "aff": "Department of Electrical and Computer Engineering, Rice University; Department of Computer Science and Technology, Tsinghua University",
        "project": "",
        "github": "",
        "arxiv": "1803.03857v3",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Learning From Synthetic Data: Addressing Domain Shift for Semantic Segmentation",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Sankaranarayanan_Learning_From_Synthetic_CVPR_2018_paper.html",
        "author": "Swami Sankaranarayanan, Yogesh Balaji, Arpit Jain, Ser Nam Lim, Rama Chellappa",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Sankaranarayanan_Learning_From_Synthetic_CVPR_2018_paper.pdf",
        "aff": "Avitas Systems, GE Venture, Boston MA; UMIACS, University of Maryland, College Park, MD; GE Global Research, Niskayuna, NY",
        "project": "",
        "github": "",
        "arxiv": "1711.06969v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Learning Generative ConvNets via Multi-Grid Modeling and Sampling",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Gao_Learning_Generative_ConvNets_CVPR_2018_paper.html",
        "author": "Ruiqi Gao, Yang Lu, Junpei Zhou, Song-Chun Zhu, Ying Nian Wu",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Gao_Learning_Generative_ConvNets_CVPR_2018_paper.pdf",
        "aff": "Zhejiang University, China; University of California, Los Angeles, USA; Amazon",
        "project": "",
        "github": "",
        "arxiv": "1709.08868v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Learning Globally Optimized Object Detector via Policy Gradient",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Rao_Learning_Globally_Optimized_CVPR_2018_paper.html",
        "author": "Yongming Rao, Dahua Lin, Jiwen Lu, Jie Zhou",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Rao_Learning_Globally_Optimized_CVPR_2018_paper.pdf",
        "aff": "Department of Information Engineering, The Chinese University of Hong Kong; Department of Automation, Tsinghua University; State Key Lab of Intelligent Technologies and Systems, Tsinghua University; Beijing National Research Center for Information Science and Technology",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Learning Intelligent Dialogs for Bounding Box Annotation",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Konyushkova_Learning_Intelligent_Dialogs_CVPR_2018_paper.html",
        "author": "Ksenia Konyushkova, Jasper Uijlings, Christoph H. Lampert, Vittorio Ferrari",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Konyushkova_Learning_Intelligent_Dialogs_CVPR_2018_paper.pdf",
        "aff": "CVLab, EPFL; Google AI Perception; IST Austria",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1712.08087",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Learning Intrinsic Image Decomposition From Watching the World",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Li_Learning_Intrinsic_Image_CVPR_2018_paper.html",
        "author": "Zhengqi Li, Noah Snavely",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Li_Learning_Intrinsic_Image_CVPR_2018_paper.pdf",
        "aff": "",
        "project": "",
        "github": "",
        "arxiv": "1804.00582v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Learning Latent Super-Events to Detect Multiple Activities in Videos",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Piergiovanni_Learning_Latent_Super-Events_CVPR_2018_paper.html",
        "author": "AJ Piergiovanni, Michael S. Ryoo",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Piergiovanni_Learning_Latent_Super-Events_CVPR_2018_paper.pdf",
        "aff": "Department of Computer Science, Indiana University, Bloomington, IN 47408",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1712.01938",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Learning Less Is More - 6D Camera Localization via 3D Surface Regression",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Brachmann_Learning_Less_Is_CVPR_2018_paper.html",
        "author": "Eric Brachmann, Carsten Rother",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Brachmann_Learning_Less_Is_CVPR_2018_paper.pdf",
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        "project": "http://vislearn.de",
        "github": "",
        "arxiv": "arXiv:1711.10228",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Learning Markov Clustering Networks for Scene Text Detection",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Liu_Learning_Markov_Clustering_CVPR_2018_paper.html",
        "author": "Zichuan Liu, Guosheng Lin, Sheng Yang, Jiashi Feng, Weisi Lin, Wang Ling Goh",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Liu_Learning_Markov_Clustering_CVPR_2018_paper.pdf",
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        "project": "",
        "github": "",
        "arxiv": "1805.08365v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Learning Monocular 3D Human Pose Estimation From Multi-View Images",
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        "author": "Helge Rhodin, J\u00f6rg Sp\u00f6rri, Isinsu Katircioglu, Victor Constantin, Fr\u00e9d\u00e9ric Meyer, Erich M\u00fcller, Mathieu Salzmann, Pascal Fua",
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        "aff": "CVLab, EPFL, Lausanne, Switzerland; Balgrist University Hospital, Zurich, Switzerland; University of Salzburg, Salzburg, Austria; UNIL, Lausanne, Switzerland",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1803.04775",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Learning Multi-Instance Enriched Image Representations via Non-Greedy Ratio Maximization of the l1-Norm Distances",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Liu_Learning_Multi-Instance_Enriched_CVPR_2018_paper.html",
        "author": "Kai Liu, Hua Wang, Feiping Nie, Hao Zhang",
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        "aff": "School of Computer Science and Center for OPTical IMagery Analysis and Learning (OPTIMAL), Northwestern Polytechnical University, Xi\u2019an 710072, P. R. China; Department of Computer Science, Colorado School of Mines, Golden, Colorado 80401, U.S.A.",
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        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Learning Patch Reconstructability for Accelerating Multi-View Stereo",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Poms_Learning_Patch_Reconstructability_CVPR_2018_paper.html",
        "author": "Alex Poms, Chenglei Wu, Shoou-I Yu, Yaser Sheikh",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Poms_Learning_Patch_Reconstructability_CVPR_2018_paper.pdf",
        "aff": "Facebook Reality Labs, Pittsburgh; Carnegie Mellon University",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Learning Pixel-Level Semantic Affinity With Image-Level Supervision for Weakly Supervised Semantic Segmentation",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Ahn_Learning_Pixel-Level_Semantic_CVPR_2018_paper.html",
        "author": "Jiwoon Ahn, Suha Kwak",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Ahn_Learning_Pixel-Level_Semantic_CVPR_2018_paper.pdf",
        "aff": "DGIST, Korea; POSTECH, Korea",
        "project": "",
        "github": "",
        "arxiv": "1803.10464v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Learning Pose Specific Representations by Predicting Different Views",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Poier_Learning_Pose_Specific_CVPR_2018_paper.html",
        "author": "Georg Poier, David Schinagl, Horst Bischof",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Poier_Learning_Pose_Specific_CVPR_2018_paper.pdf",
        "aff": "Institute for Computer Graphics and Vision, Graz University of Technology, Austria",
        "project": "",
        "github": "",
        "arxiv": "1804.03390v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Learning Rich Features for Image Manipulation Detection",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Zhou_Learning_Rich_Features_CVPR_2018_paper.html",
        "author": "Peng Zhou, Xintong Han, Vlad I. Morariu, Larry S. Davis",
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        "aff": "Adobe Research; University of Maryland, College Park",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1805.04953",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Learning Semantic Concepts and Order for Image and Sentence Matching",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Huang_Learning_Semantic_Concepts_CVPR_2018_paper.html",
        "author": "Yan Huang, Qi Wu, Chunfeng Song, Liang Wang",
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        "aff": "Center for Research on Intelligent Perception and Computing (CRIPAC), National Laboratory of Pattern Recognition (NLPR), Center for Excellence in Brain Science and Intelligence Technology (CEBSIT), Institute of Automation, Chinese Academy of Sciences (CASIA), University of Chinese Academy of Sciences (UCAS); School of Computer Science, The University of Adelaide; Center for Research on Intelligent Perception and Computing (CRIPAC), National Laboratory of Pattern Recognition (NLPR), University of Chinese Academy of Sciences (UCAS)",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1712.02036",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Learning Spatial-Aware Regressions for Visual Tracking",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Sun_Learning_Spatial-Aware_Regressions_CVPR_2018_paper.html",
        "author": "Chong Sun, Dong Wang, Huchuan Lu, Ming-Hsuan Yang",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Sun_Learning_Spatial-Aware_Regressions_CVPR_2018_paper.pdf",
        "aff": "Electrical Engineering and Computer Science, University of California, Merced, USA; School of Information and Communication Engineering, Dalian University of Technology, China",
        "project": "",
        "github": "",
        "arxiv": "1706.07457v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Learning Spatial-Temporal Regularized Correlation Filters for Visual Tracking",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Li_Learning_Spatial-Temporal_Regularized_CVPR_2018_paper.html",
        "author": "Feng Li, Cheng Tian, Wangmeng Zuo, Lei Zhang, Ming-Hsuan Yang",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Li_Learning_Spatial-Temporal_Regularized_CVPR_2018_paper.pdf",
        "aff": "School of Engineering, University of California, Merced, USA; Department of Computing, The Hong Kong Polytechnic University, China; School of Computer Science and Technology, Harbin Institute of Technology, China",
        "project": "",
        "github": "",
        "arxiv": "1803.08679v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Learning Steerable Filters for Rotation Equivariant CNNs",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Weiler_Learning_Steerable_Filters_CVPR_2018_paper.html",
        "author": "Maurice Weiler, Fred A. Hamprecht, Martin Storath",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Weiler_Learning_Steerable_Filters_CVPR_2018_paper.pdf",
        "aff": "AMLab / QUV A Lab, University of Amsterdam; HCI/IWR, University of Heidelberg",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1711.07289",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Learning Strict Identity Mappings in Deep Residual Networks",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Yu_Learning_Strict_Identity_CVPR_2018_paper.html",
        "author": "Xin Yu, Zhiding Yu, Srikumar Ramalingam",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Yu_Learning_Strict_Identity_CVPR_2018_paper.pdf",
        "aff": "University of Utah; NVIDIA",
        "project": "",
        "github": "",
        "arxiv": "1804.01661v5",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Learning Structure and Strength of CNN Filters for Small Sample Size Training",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Keshari_Learning_Structure_and_CVPR_2018_paper.html",
        "author": "Rohit Keshari, Mayank Vatsa, Richa Singh, Afzel Noore",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Keshari_Learning_Structure_and_CVPR_2018_paper.pdf",
        "aff": "IIIT-Delhi, India; Texas A&M University-Kingsville, USA",
        "project": "",
        "github": "",
        "arxiv": "1803.11405v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Learning Superpixels With Segmentation-Aware Affinity Loss",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Tu_Learning_Superpixels_With_CVPR_2018_paper.html",
        "author": "Wei-Chih Tu, Ming-Yu Liu, Varun Jampani, Deqing Sun, Shao-Yi Chien, Ming-Hsuan Yang, Jan Kautz",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Tu_Learning_Superpixels_With_CVPR_2018_paper.pdf",
        "aff": "National Taiwan University; NVIDIA, UC Merced; NVIDIA",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Learning Time/Memory-Efficient Deep Architectures With Budgeted Super Networks",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Veniat_Learning_TimeMemory-Efficient_Deep_CVPR_2018_paper.html",
        "author": "Tom V\u00e9niat, Ludovic Denoyer",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Veniat_Learning_TimeMemory-Efficient_Deep_CVPR_2018_paper.pdf",
        "aff": "Criteo Research; Sorbonne Universit\u00e9, LIP6, F-75005, Paris, France",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1706.00046",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Learning Transferable Architectures for Scalable Image Recognition",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Zoph_Learning_Transferable_Architectures_CVPR_2018_paper.html",
        "author": "Barret Zoph, Vijay Vasudevan, Jonathon Shlens, Quoc V. Le",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Zoph_Learning_Transferable_Architectures_CVPR_2018_paper.pdf",
        "aff": "Google Brain",
        "project": "",
        "github": "",
        "arxiv": "1707.07012v4",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Learning Visual Knowledge Memory Networks for Visual Question Answering",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Su_Learning_Visual_Knowledge_CVPR_2018_paper.html",
        "author": "Zhou Su, Chen Zhu, Yinpeng Dong, Dongqi Cai, Yurong Chen, Jianguo Li",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Su_Learning_Visual_Knowledge_CVPR_2018_paper.pdf",
        "aff": "Tencent Wechat; Tsinghua University; Intel Labs China; ShanghaiTech University",
        "project": "",
        "github": "",
        "arxiv": "1806.04860v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Learning a Complete Image Indexing Pipeline",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Jain_Learning_a_Complete_CVPR_2018_paper.html",
        "author": "Himalaya Jain, Joaquin Zepeda, Patrick P\u00e9rez, R\u00e9mi Gribonval",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Jain_Learning_a_Complete_CVPR_2018_paper.pdf",
        "aff": "Inria, Rennes, France; Technicolor, Rennes, France; Valeo.ai, Paris, France; Amazon, Seattle, WA; Technicolor, Rennes, France; Inria, Rennes, France",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1712.04480",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Learning a Discriminative Feature Network for Semantic Segmentation",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Yu_Learning_a_Discriminative_CVPR_2018_paper.html",
        "author": "Changqian Yu, Jingbo Wang, Chao Peng, Changxin Gao, Gang Yu, Nong Sang",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Yu_Learning_a_Discriminative_CVPR_2018_paper.pdf",
        "aff": "Key Laboratory of Ministry of Education for Image Processing and Intelligent Control, School of Automation, Huazhong University of Science and Technology; Megvii Inc. (Face++); Key Laboratory of Machine Perception, Peking University",
        "project": "",
        "github": "",
        "arxiv": "1804.09337v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Learning a Discriminative Filter Bank Within a CNN for Fine-Grained Recognition",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Wang_Learning_a_Discriminative_CVPR_2018_paper.html",
        "author": "Yaming Wang, Vlad I. Morariu, Larry S. Davis",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Wang_Learning_a_Discriminative_CVPR_2018_paper.pdf",
        "aff": "Adobe Research; University of Maryland, College Park",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1611.09932",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Learning a Discriminative Prior for Blind Image Deblurring",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Li_Learning_a_Discriminative_CVPR_2018_paper.html",
        "author": "Lerenhan Li, Jinshan Pan, Wei-Sheng Lai, Changxin Gao, Nong Sang, Ming-Hsuan Yang",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Li_Learning_a_Discriminative_CVPR_2018_paper.pdf",
        "aff": "School of Computer Science and Engineering, Nanjing University of Science and Technology; Electrical Engineering and Computer Science, University of California, Merced; National Key Laboratory of Science and Technology on Multispectral Information Processing, School of Automation, Huazhong University of Science and Technology",
        "project": "",
        "github": "",
        "arxiv": "1803.03363v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Learning a Single Convolutional Super-Resolution Network for Multiple Degradations",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Zhang_Learning_a_Single_CVPR_2018_paper.html",
        "author": "Kai Zhang, Wangmeng Zuo, Lei Zhang",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Zhang_Learning_a_Single_CVPR_2018_paper.pdf",
        "aff": "School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China; Dept. of Computing, The Hong Kong Polytechnic University, Hong Kong, China",
        "project": "",
        "github": "",
        "arxiv": "1712.06116v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Learning and Using the Arrow of Time",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Wei_Learning_and_Using_CVPR_2018_paper.html",
        "author": "Donglai Wei, Joseph J. Lim, Andrew Zisserman, William T. Freeman",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Wei_Learning_and_Using_CVPR_2018_paper.pdf",
        "aff": "University of Southern California; Massachusetts Institute of Technology and Google Research; Harvard University; University of Oxford",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
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    {
        "title": "Learning by Asking Questions",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Misra_Learning_by_Asking_CVPR_2018_paper.html",
        "author": "Ishan Misra, Ross Girshick, Rob Fergus, Martial Hebert, Abhinav Gupta, Laurens van der Maaten",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Misra_Learning_by_Asking_CVPR_2018_paper.pdf",
        "aff": "Carnegie Mellon University; Facebook AI Research",
        "project": "",
        "github": "",
        "arxiv": "1712.01238v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Learning for Disparity Estimation Through Feature Constancy",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Liang_Learning_for_Disparity_CVPR_2018_paper.html",
        "author": "Zhengfa Liang, Yiliu Feng, Yulan Guo, Hengzhu Liu, Wei Chen, Linbo Qiao, Li Zhou, Jianfeng Zhang",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Liang_Learning_for_Disparity_CVPR_2018_paper.pdf",
        "aff": "National University of Defense Technology, Changsha, China",
        "project": "",
        "github": "http://github.com/leonzfa/iResNet",
        "arxiv": "1712.01039v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Learning to Act Properly: Predicting and Explaining Affordances From Images",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Chuang_Learning_to_Act_CVPR_2018_paper.html",
        "author": "Ching-Yao Chuang, Jiaman Li, Antonio Torralba, Sanja Fidler",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Chuang_Learning_to_Act_CVPR_2018_paper.pdf",
        "aff": "Massachusetts Institute of Technology; University of Toronto",
        "project": "",
        "github": "",
        "arxiv": "1712.07576v2",
        "track": "main",
        "status": "Poster"
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    {
        "title": "Learning to Adapt Structured Output Space for Semantic Segmentation",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Tsai_Learning_to_Adapt_CVPR_2018_paper.html",
        "author": "Yi-Hsuan Tsai, Wei-Chih Hung, Samuel Schulter, Kihyuk Sohn, Ming-Hsuan Yang, Manmohan Chandraker",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Tsai_Learning_to_Adapt_CVPR_2018_paper.pdf",
        "aff": "University of California, Merced; NEC Laboratories America, University of California, San Diego; NEC Laboratories America",
        "project": "",
        "github": "",
        "arxiv": "1802.10349v3",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Learning to Compare: Relation Network for Few-Shot Learning",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Sung_Learning_to_Compare_CVPR_2018_paper.html",
        "author": "Flood Sung, Yongxin Yang, Li Zhang, Tao Xiang, Philip H.S. Torr, Timothy M. Hospedales",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Sung_Learning_to_Compare_CVPR_2018_paper.pdf",
        "aff": "Queen Mary University of London; University of Oxford; The University of Edinburgh",
        "project": "",
        "github": "",
        "arxiv": "1711.06025v2",
        "track": "main",
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    },
    {
        "title": "Learning to Detect Features in Texture Images",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Zhang_Learning_to_Detect_CVPR_2018_paper.html",
        "author": "Linguang Zhang, Szymon Rusinkiewicz",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Zhang_Learning_to_Detect_CVPR_2018_paper.pdf",
        "aff": "Princeton University",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
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    {
        "title": "Learning to Estimate 3D Human Pose and Shape From a Single Color Image",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Pavlakos_Learning_to_Estimate_CVPR_2018_paper.html",
        "author": "Georgios Pavlakos, Luyang Zhu, Xiaowei Zhou, Kostas Daniilidis",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Pavlakos_Learning_to_Estimate_CVPR_2018_paper.pdf",
        "aff": "University of Pennsylvania; Peking University; State Key Lab of CAD&CG, Zhejiang University",
        "project": "",
        "github": "",
        "arxiv": "1805.04092v1",
        "track": "main",
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    {
        "title": "Learning to Evaluate Image Captioning",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Cui_Learning_to_Evaluate_CVPR_2018_paper.html",
        "author": "Yin Cui, Guandao Yang, Andreas Veit, Xun Huang, Serge Belongie",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Cui_Learning_to_Evaluate_CVPR_2018_paper.pdf",
        "aff": "Department of Computer Science, Cornell University; Cornell Tech",
        "project": "",
        "github": "",
        "arxiv": "1806.06422v1",
        "track": "main",
        "status": "Poster"
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    {
        "title": "Learning to Extract a Video Sequence From a Single Motion-Blurred Image",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Jin_Learning_to_Extract_CVPR_2018_paper.html",
        "author": "Meiguang Jin, Givi Meishvili, Paolo Favaro",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Jin_Learning_to_Extract_CVPR_2018_paper.pdf",
        "aff": "University of Bern, Switzerland",
        "project": "",
        "github": "",
        "arxiv": "1804.04065v1",
        "track": "main",
        "status": "Poster"
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    {
        "title": "Learning to Find Good Correspondences",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Yi_Learning_to_Find_CVPR_2018_paper.html",
        "author": "Kwang Moo Yi, Eduard Trulls, Yuki Ono, Vincent Lepetit, Mathieu Salzmann, Pascal Fua",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Yi_Learning_to_Find_CVPR_2018_paper.pdf",
        "aff": "Institute for Computer Graphics and Vision, Graz University of Technology; Sony Imaging Products & Solutions Inc.; Visual Computing Group, University of Victoria; Computer Vision Laboratory, Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1711.05971",
        "track": "main",
        "status": "Poster"
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    {
        "title": "Learning to Generate Time-Lapse Videos Using Multi-Stage Dynamic Generative Adversarial Networks",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Xiong_Learning_to_Generate_CVPR_2018_paper.html",
        "author": "Wei Xiong, Wenhan Luo, Lin Ma, Wei Liu, Jiebo Luo",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Xiong_Learning_to_Generate_CVPR_2018_paper.pdf",
        "aff": "Tencent AI Lab\u2020; Tencent AI Lab\u2020, University of Rochester\u2021; University of Rochester\u2021",
        "project": "",
        "github": "",
        "arxiv": "1709.07592v3",
        "track": "main",
        "status": "Poster"
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    {
        "title": "Learning to Localize Sound Source in Visual Scenes",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Senocak_Learning_to_Localize_CVPR_2018_paper.html",
        "author": "Arda Senocak, Tae-Hyun Oh, Junsik Kim, Ming-Hsuan Yang, In So Kweon",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Senocak_Learning_to_Localize_CVPR_2018_paper.pdf",
        "aff": "Dept. EECS, University of California, Merced, CA, USA; MIT CSAIL, MA, USA; Dept. EE, KAIST, South Korea",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1803.03849",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Learning to Look Around: Intelligently Exploring Unseen Environments for Unknown Tasks",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Jayaraman_Learning_to_Look_CVPR_2018_paper.html",
        "author": "Dinesh Jayaraman, Kristen Grauman",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Jayaraman_Learning_to_Look_CVPR_2018_paper.pdf",
        "aff": "UC Berkeley; UT Austin",
        "project": "",
        "github": "",
        "arxiv": "1709.00507v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Learning to Parse Wireframes in Images of Man-Made Environments",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Huang_Learning_to_Parse_CVPR_2018_paper.html",
        "author": "Kun Huang, Yifan Wang, Zihan Zhou, Tianjiao Ding, Shenghua Gao, Yi Ma",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Huang_Learning_to_Parse_CVPR_2018_paper.pdf",
        "aff": "University of California, Berkeley; The Pennsylvania State University; ShanghaiTech University",
        "project": "",
        "github": "https://github.com/huangkuns/wireframe",
        "arxiv": "2007.07527v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Learning to Promote Saliency Detectors",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Zeng_Learning_to_Promote_CVPR_2018_paper.html",
        "author": "Yu Zeng, Huchuan Lu, Lihe Zhang, Mengyang Feng, Ali Borji",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Zeng_Learning_to_Promote_CVPR_2018_paper.pdf",
        "aff": "Dalian University of Technology, China; University of Central Florida, USA",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Learning to See in the Dark",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Chen_Learning_to_See_CVPR_2018_paper.html",
        "author": "Chen Chen, Qifeng Chen, Jia Xu, Vladlen Koltun",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Chen_Learning_to_See_CVPR_2018_paper.pdf",
        "aff": "Intel Labs; UIUC",
        "project": "",
        "github": "",
        "arxiv": "1805.01934v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Learning to Segment Every Thing",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Hu_Learning_to_Segment_CVPR_2018_paper.html",
        "author": "Ronghang Hu, Piotr Doll\u00e1r, Kaiming He, Trevor Darrell, Ross Girshick",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Hu_Learning_to_Segment_CVPR_2018_paper.pdf",
        "aff": "BAIR, UC Berkeley; Facebook AI Research (FAIR)",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1711.10370",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Learning to Sketch With Shortcut Cycle Consistency",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Song_Learning_to_Sketch_CVPR_2018_paper.html",
        "author": "Jifei Song, Kaiyue Pang, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Song_Learning_to_Sketch_CVPR_2018_paper.pdf",
        "aff": "SketchX, Queen Mary University of London, The University of Edinburgh; SketchX, Queen Mary University of London",
        "project": "",
        "github": "",
        "arxiv": "1805.00247v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Learning to Understand Image Blur",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Zhang_Learning_to_Understand_CVPR_2018_paper.html",
        "author": "Shanghang Zhang, Xiaohui Shen, Zhe Lin, Radom\u00edr M\u011bch, Jo\u00e3o P. Costeira, Jos\u00e9 M. F. Moura",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Zhang_Learning_to_Understand_CVPR_2018_paper.pdf",
        "aff": "Adobe Research; Carnegie Mellon University; ISR - IST, Universidade de Lisboa",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Left-Right Comparative Recurrent Model for Stereo Matching",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Jie_Left-Right_Comparative_Recurrent_CVPR_2018_paper.html",
        "author": "Zequn Jie, Pengfei Wang, Yonggen Ling, Bo Zhao, Yunchao Wei, Jiashi Feng, Wei Liu",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Jie_Left-Right_Comparative_Recurrent_CVPR_2018_paper.pdf",
        "aff": "Tencent AI Lab; National University of Singapore; University of Illinois Urbana-Champaign; University of British Columbia",
        "project": "",
        "github": "",
        "arxiv": "1804.00796v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Leveraging Unlabeled Data for Crowd Counting by Learning to Rank",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Liu_Leveraging_Unlabeled_Data_CVPR_2018_paper.html",
        "author": "Xialei Liu, Joost van de Weijer, Andrew D. Bagdanov",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Liu_Leveraging_Unlabeled_Data_CVPR_2018_paper.pdf",
        "aff": "MICC, University of Florence, Florence, Italy; Computer Vision Center, Barcelona, Spain",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1803.03095",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "LiDAR-Video Driving Dataset: Learning Driving Policies Effectively",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Chen_LiDAR-Video_Driving_Dataset_CVPR_2018_paper.html",
        "author": "Yiping Chen, Jingkang Wang, Jonathan Li, Cewu Lu, Zhipeng Luo, Han Xue, Cheng Wang",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Chen_LiDAR-Video_Driving_Dataset_CVPR_2018_paper.pdf",
        "aff": "Fujian Key Laboratory of Sensing and Computing for Smart Cities, Xiamen University; University of Waterloo; Shanghai Jiao Tong University",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Light Field Intrinsics With a Deep Encoder-Decoder Network",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Alperovich_Light_Field_Intrinsics_CVPR_2018_paper.html",
        "author": "Anna Alperovich, Ole Johannsen, Michael Strecke, Bastian Goldluecke",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Alperovich_Light_Field_Intrinsics_CVPR_2018_paper.pdf",
        "aff": "University of Konstanz, Konstanz, Germany",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Lightweight Probabilistic Deep Networks",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Gast_Lightweight_Probabilistic_Deep_CVPR_2018_paper.html",
        "author": "Jochen Gast, Stefan Roth",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Gast_Lightweight_Probabilistic_Deep_CVPR_2018_paper.pdf",
        "aff": "Department of Computer Science, TU Darmstadt",
        "project": "",
        "github": "",
        "arxiv": "1805.11327v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Link and Code: Fast Indexing With Graphs and Compact Regression Codes",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Douze_Link_and_Code_CVPR_2018_paper.html",
        "author": "Matthijs Douze, Alexandre Sablayrolles, Herv\u00e9 J\u00e9gou",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Douze_Link_and_Code_CVPR_2018_paper.pdf",
        "aff": "Inria\u2217University Grenoble Alpes, Inria, CNRS, Grenoble INP, LJK; Facebook AI Research",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1804.09996",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Lions and Tigers and Bears: Capturing Non-Rigid, 3D, Articulated Shape From Images",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Zuffi_Lions_and_Tigers_CVPR_2018_paper.html",
        "author": "Silvia Zuffi, Angjoo Kanazawa, Michael J. Black",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Zuffi_Lions_and_Tigers_CVPR_2018_paper.pdf",
        "aff": "IMATI-CNR, Milan, Italy; University of California, Berkeley; Max Planck Institute for Intelligent Systems, T\u00fcbingen, Germany",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Hui_LiteFlowNet_A_Lightweight_CVPR_2018_paper.html",
        "author": "Tak-Wai Hui, Xiaoou Tang, Chen Change Loy",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Hui_LiteFlowNet_A_Lightweight_CVPR_2018_paper.pdf",
        "aff": "CUHK-SenseTime Joint Lab, The Chinese University of Hong Kong",
        "project": "",
        "github": "github.com/twhui/LiteFlowNet",
        "arxiv": "arXiv:1805.07036",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Local Descriptors Optimized for Average Precision",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/He_Local_Descriptors_Optimized_CVPR_2018_paper.html",
        "author": "Kun He, Yan Lu, Stan Sclaroff",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/He_Local_Descriptors_Optimized_CVPR_2018_paper.pdf",
        "aff": "Honda Research Institute USA; Boston University",
        "project": "",
        "github": "",
        "arxiv": "1804.05312v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Local and Global Optimization Techniques in Graph-Based Clustering",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Ikami_Local_and_Global_CVPR_2018_paper.html",
        "author": "Daiki Ikami, Toshihiko Yamasaki, Kiyoharu Aizawa",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Ikami_Local_and_Global_CVPR_2018_paper.pdf",
        "aff": "The University of Tokyo, Japan",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Logo Synthesis and Manipulation With Clustered Generative Adversarial Networks",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Sage_Logo_Synthesis_and_CVPR_2018_paper.html",
        "author": "Alexander Sage, Eirikur Agustsson, Radu Timofte, Luc Van Gool",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Sage_Logo_Synthesis_and_CVPR_2018_paper.pdf",
        "aff": "D-ITET, ETH Zurich, Merantix GmbH; D-ITET, ETH Zurich; D-ITET, ETH Zurich, ESAT, KU Leuven",
        "project": "https://data.vision.ee.ethz.ch/sagea/lld/",
        "github": "",
        "arxiv": "1712.04407v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Long-Term On-Board Prediction of People in Traffic Scenes Under Uncertainty",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Bhattacharyya_Long-Term_On-Board_Prediction_CVPR_2018_paper.html",
        "author": "Apratim Bhattacharyya, Mario Fritz, Bernt Schiele",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Bhattacharyya_Long-Term_On-Board_Prediction_CVPR_2018_paper.pdf",
        "aff": "Max Planck Institute for Informatics, Saarland Informatics Campus, Saarbr\u00fccken, Germany",
        "project": "",
        "github": "",
        "arxiv": "1711.09026v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Look at Boundary: A Boundary-Aware Face Alignment Algorithm",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Wu_Look_at_Boundary_CVPR_2018_paper.html",
        "author": "Wayne Wu, Chen Qian, Shuo Yang, Quan Wang, Yici Cai, Qiang Zhou",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Wu_Look_at_Boundary_CVPR_2018_paper.pdf",
        "aff": "Amazon Rekognition; Tsinghua National Laboratory for Information Science and Technology (TNList), Department of Computer Science and Technology, Tsinghua University; SenseTime Research",
        "project": "https://wywu.github.io/projects/LAB/LAB.html",
        "github": "https://github.com/wywu",
        "arxiv": "1805.10483v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Look, Imagine and Match: Improving Textual-Visual Cross-Modal Retrieval With Generative Models",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Gu_Look_Imagine_and_CVPR_2018_paper.html",
        "author": "Jiuxiang Gu, Jianfei Cai, Shafiq R. Joty, Li Niu, Gang Wang",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Gu_Look_Imagine_and_CVPR_2018_paper.pdf",
        "aff": "Rice University, USA; ROSE Lab, Interdisciplinary Graduate School, Nanyang Technological University, Singapore; School of Computer Science and Engineering, Nanyang Technological University, Singapore; Alibaba AI Labs, Hangzhou, China",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Lose the Views: Limited Angle CT Reconstruction via Implicit Sinogram Completion",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Anirudh_Lose_the_Views_CVPR_2018_paper.html",
        "author": "Rushil Anirudh, Hyojin Kim, Jayaraman J. Thiagarajan, K. Aditya Mohan, Kyle Champley, Timo Bremer",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Anirudh_Lose_the_Views_CVPR_2018_paper.pdf",
        "aff": "Lawrence Livermore National Laboratory",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1711.10388",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Low-Latency Video Semantic Segmentation",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Li_Low-Latency_Video_Semantic_CVPR_2018_paper.html",
        "author": "Yule Li, Jianping Shi, Dahua Lin",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Li_Low-Latency_Video_Semantic_CVPR_2018_paper.pdf",
        "aff": "Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, Chinese Academy of Sciences, Beijing, 100190, China; Department of Information Engineering, The Chinese University of Hong Kong; SenseTime Research, Department of Information Engineering, The Chinese University of Hong Kong",
        "project": "",
        "github": "",
        "arxiv": "1804.00389v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Low-Shot Learning From Imaginary Data",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Wang_Low-Shot_Learning_From_CVPR_2018_paper.html",
        "author": "Yu-Xiong Wang, Ross Girshick, Martial Hebert, Bharath Hariharan",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Wang_Low-Shot_Learning_From_CVPR_2018_paper.pdf",
        "aff": "Facebook AI Research (FAIR); Carnegie Mellon University; Facebook AI Research (FAIR), Cornell University; Facebook AI Research (FAIR), Carnegie Mellon University",
        "project": "",
        "github": "",
        "arxiv": "1801.05401v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Low-Shot Learning With Imprinted Weights",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Qi_Low-Shot_Learning_With_CVPR_2018_paper.html",
        "author": "Hang Qi, Matthew Brown, David G. Lowe",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Qi_Low-Shot_Learning_With_CVPR_2018_paper.pdf",
        "aff": "Google; UCLA",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1712.07136",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Low-Shot Learning With Large-Scale Diffusion",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Douze_Low-Shot_Learning_With_CVPR_2018_paper.html",
        "author": "Matthijs Douze, Arthur Szlam, Bharath Hariharan, Herv\u00e9 J\u00e9gou",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Douze_Low-Shot_Learning_With_CVPR_2018_paper.pdf",
        "aff": "Cornell University; Facebook AI Research",
        "project": "",
        "github": "",
        "arxiv": "1706.02332v3",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "M3: Multimodal Memory Modelling for Video Captioning",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Wang_M3_Multimodal_Memory_CVPR_2018_paper.html",
        "author": "Junbo Wang, Wei Wang, Yan Huang, Liang Wang, Tieniu Tan",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Wang_M3_Multimodal_Memory_CVPR_2018_paper.pdf",
        "aff": "Center for Research on Intelligent Perception and Computing (CRIPAC), National Laboratory of Pattern Recognition (NLPR), Center for Excellence in Brain Science and Intelligence Technology (CEBSIT), Institute of Automation, Chinese Academy of Sciences (CASIA), University of Chinese Academy of Sciences (UCAS)",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "MAttNet: Modular Attention Network for Referring Expression Comprehension",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Yu_MAttNet_Modular_Attention_CVPR_2018_paper.html",
        "author": "Licheng Yu, Zhe Lin, Xiaohui Shen, Jimei Yang, Xin Lu, Mohit Bansal, Tamara L. Berg",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Yu_MAttNet_Modular_Attention_CVPR_2018_paper.pdf",
        "aff": "University of North Carolina at Chapel Hill; Adobe Research",
        "project": "vision2.cs.unc.edu/refer/comprehension",
        "github": "https://github.com/lichengunc/MAttNet",
        "arxiv": "1801.08186v3",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "MX-LSTM: Mixing Tracklets and Vislets to Jointly Forecast Trajectories and Head Poses",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Hasan_MX-LSTM_Mixing_Tracklets_CVPR_2018_paper.html",
        "author": "Irtiza Hasan, Francesco Setti, Theodore Tsesmelis, Alessio Del Bue, Fabio Galasso, Marco Cristani",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Hasan_MX-LSTM_Mixing_Tracklets_CVPR_2018_paper.pdf",
        "aff": "University of Verona (UNIVR), OSRAM GmbH; University of Verona (UNIVR), OSRAM GmbH, Istituto Italiano di Tecnologia (IIT); OSRAM GmbH; Istituto Italiano di Tecnologia (IIT); University of Verona (UNIVR)",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1805.00652",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Making Convolutional Networks Recurrent for Visual Sequence Learning",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Yang_Making_Convolutional_Networks_CVPR_2018_paper.html",
        "author": "Xiaodong Yang, Pavlo Molchanov, Jan Kautz",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Yang_Making_Convolutional_Networks_CVPR_2018_paper.pdf",
        "aff": "NVIDIA",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Manifold Learning in Quotient Spaces",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Mehr_Manifold_Learning_in_CVPR_2018_paper.html",
        "author": "\u00c9loi Mehr, Andr\u00e9 Lieutier, Fernando Sanchez Bermudez, Vincent Guitteny, Nicolas Thome, Matthieu Cord",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Mehr_Manifold_Learning_in_CVPR_2018_paper.pdf",
        "aff": "; LIP6, UPMC Sorbonne Universit\u00b4es",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "MapNet: An Allocentric Spatial Memory for Mapping Environments",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Henriques_MapNet_An_Allocentric_CVPR_2018_paper.html",
        "author": "Jo\u00e3o F. Henriques, Andrea Vedaldi",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Henriques_MapNet_An_Allocentric_CVPR_2018_paper.pdf",
        "aff": "Visual Geometry Group, University of Oxford",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Mask-Guided Contrastive Attention Model for Person Re-Identification",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Song_Mask-Guided_Contrastive_Attention_CVPR_2018_paper.html",
        "author": "Chunfeng Song, Yan Huang, Wanli Ouyang, Liang Wang",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Song_Mask-Guided_Contrastive_Attention_CVPR_2018_paper.pdf",
        "aff": "Center for Research on Intelligent Perception and Computing (CRIPAC), National Laboratory of Pattern Recognition (NLPR), Center for Excellence in Brain Science and Intelligence Technology (CEBSIT), Institute of Automation, Chinese Academy of Sciences (CASIA), University of Chinese Academy of Sciences (UCAS); University of Sydney; Center for Research on Intelligent Perception and Computing (CRIPAC), National Laboratory of Pattern Recognition (NLPR), University of Chinese Academy of Sciences (UCAS)",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "MaskLab: Instance Segmentation by Refining Object Detection With Semantic and Direction Features",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Chen_MaskLab_Instance_Segmentation_CVPR_2018_paper.html",
        "author": "Liang-Chieh Chen, Alexander Hermans, George Papandreou, Florian Schroff, Peng Wang, Hartwig Adam",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Chen_MaskLab_Instance_Segmentation_CVPR_2018_paper.pdf",
        "aff": "Google Inc.; RWTH Aachen University; UCLA",
        "project": "",
        "github": "",
        "arxiv": "1712.04837v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Matching Adversarial Networks",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Mattyus_Matching_Adversarial_Networks_CVPR_2018_paper.html",
        "author": "Gell\u00e9rt M\u00e1ttyus, Raquel Urtasun",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Mattyus_Matching_Adversarial_Networks_CVPR_2018_paper.pdf",
        "aff": "Uber Advanced Technologies Group and University of Toronto",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1707.08273",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Matching Pixels Using Co-Occurrence Statistics",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Kat_Matching_Pixels_Using_CVPR_2018_paper.html",
        "author": "Rotal Kat, Roy Jevnisek, Shai Avidan",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Kat_Matching_Pixels_Using_CVPR_2018_paper.pdf",
        "aff": "School of EE, Tel-Aviv University",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Matryoshka Networks: Predicting 3D Geometry via Nested Shape Layers",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Richter_Matryoshka_Networks_Predicting_CVPR_2018_paper.html",
        "author": "Stephan R. Richter, Stefan Roth",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Richter_Matryoshka_Networks_Predicting_CVPR_2018_paper.pdf",
        "aff": "TU Darmstadt, Intel Labs; TU Darmstadt",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1804.10975",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Maximum Classifier Discrepancy for Unsupervised Domain Adaptation",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Saito_Maximum_Classifier_Discrepancy_CVPR_2018_paper.html",
        "author": "Kuniaki Saito, Kohei Watanabe, Yoshitaka Ushiku, Tatsuya Harada",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Saito_Maximum_Classifier_Discrepancy_CVPR_2018_paper.pdf",
        "aff": "The University of Tokyo; The University of Tokyo, RIKEN",
        "project": "",
        "github": "https://github.com/mil-tokyo/MCD_DA",
        "arxiv": "1712.02560v4",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Mean-Variance Loss for Deep Age Estimation From a Face",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Pan_Mean-Variance_Loss_for_CVPR_2018_paper.html",
        "author": "Hongyu Pan, Hu Han, Shiguang Shan, Xilin Chen",
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        "aff": "Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing, 100190, China; University of Chinese Academy of Sciences, Beijing, 100049, China; Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing, 100190, China; University of Chinese Academy of Sciences, Beijing, 100049, China; CAS Center for Excellence in Brain Science and Intelligence Technology",
        "project": "",
        "github": "http://www.escience.cn/people/hhan/publication.html",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "MegDet: A Large Mini-Batch Object Detector",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Peng_MegDet_A_Large_CVPR_2018_paper.html",
        "author": "Chao Peng, Tete Xiao, Zeming Li, Yuning Jiang, Xiangyu Zhang, Kai Jia, Gang Yu, Jian Sun",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Peng_MegDet_A_Large_CVPR_2018_paper.pdf",
        "aff": "Peking University; Tsinghua University; Megvii Inc. (Face++)",
        "project": "",
        "github": "",
        "arxiv": "1711.07240v4",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "MegaDepth: Learning Single-View Depth Prediction From Internet Photos",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Li_MegaDepth_Learning_Single-View_CVPR_2018_paper.html",
        "author": "Zhengqi Li, Noah Snavely",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Li_MegaDepth_Learning_Single-View_CVPR_2018_paper.pdf",
        "aff": "Department of Computer Science & Cornell Tech, Cornell University",
        "project": "http://www.cs.cornell.edu/projects/megadepth/",
        "github": "",
        "arxiv": "1804.00607v4",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Memory Based Online Learning of Deep Representations From Video Streams",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Pernici_Memory_Based_Online_CVPR_2018_paper.html",
        "author": "Federico Pernici, Federico Bartoli, Matteo Bruni, Alberto Del Bimbo",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Pernici_Memory_Based_Online_CVPR_2018_paper.pdf",
        "aff": "MICC \u2013 Media Integration and Communication Center, University Of Florence \u2013 Italy",
        "project": "",
        "github": "",
        "arxiv": "1711.07368v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Memory Matching Networks for One-Shot Image Recognition",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Cai_Memory_Matching_Networks_CVPR_2018_paper.html",
        "author": "Qi Cai, Yingwei Pan, Ting Yao, Chenggang Yan, Tao Mei",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Cai_Memory_Matching_Networks_CVPR_2018_paper.pdf",
        "aff": "University of Science and Technology of China, Hefei, China; Microsoft Research, Beijing, China; Hangzhou Dianzi University, Hangzhou, China",
        "project": "",
        "github": "",
        "arxiv": "1804.08281v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Mesoscopic Facial Geometry Inference Using Deep Neural Networks",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Huynh_Mesoscopic_Facial_Geometry_CVPR_2018_paper.html",
        "author": "Loc Huynh, Weikai Chen, Shunsuke Saito, Jun Xing, Koki Nagano, Andrew Jones, Paul Debevec, Hao Li",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Huynh_Mesoscopic_Facial_Geometry_CVPR_2018_paper.pdf",
        "aff": "USC Institute for Creative Technologies, University of Southern California, Pinscreen; Pinscreen; USC Institute for Creative Technologies",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "MiCT: Mixed 3D/2D Convolutional Tube for Human Action Recognition",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Zhou_MiCT_Mixed_3D2D_CVPR_2018_paper.html",
        "author": "Yizhou Zhou, Xiaoyan Sun, Zheng-Jun Zha, Wenjun Zeng",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Zhou_MiCT_Mixed_3D2D_CVPR_2018_paper.pdf",
        "aff": "Microsoft Research Asia; University of Science and Technology of China",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Min-Entropy Latent Model for Weakly Supervised Object Detection",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Wan_Min-Entropy_Latent_Model_CVPR_2018_paper.html",
        "author": "Fang Wan, Pengxu Wei, Jianbin Jiao, Zhenjun Han, Qixiang Ye",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Wan_Min-Entropy_Latent_Model_CVPR_2018_paper.pdf",
        "aff": "University of Chinese Academy of Sciences, Beijing, China",
        "project": "",
        "github": "",
        "arxiv": "1902.06057v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Mining Point Cloud Local Structures by Kernel Correlation and Graph Pooling",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Shen_Mining_Point_Cloud_CVPR_2018_paper.html",
        "author": "Yiru Shen, Chen Feng, Yaoqing Yang, Dong Tian",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Shen_Mining_Point_Cloud_CVPR_2018_paper.pdf",
        "aff": "Carnegie Mellon University; Mitsubishi Electric Research Laboratories (MERL); Clemson University",
        "project": "",
        "github": "http://www.merl.com/research/license#KCNet",
        "arxiv": "1712.06760v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Mining on Manifolds: Metric Learning Without Labels",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Iscen_Mining_on_Manifolds_CVPR_2018_paper.html",
        "author": "Ahmet Iscen, Giorgos Tolias, Yannis Avrithis, Ond\u0159ej Chum",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Iscen_Mining_on_Manifolds_CVPR_2018_paper.pdf",
        "aff": "VRG, FEE, CTU in Prague; Inria Rennes",
        "project": "",
        "github": "",
        "arxiv": "1803.11095v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Missing Slice Recovery for Tensors Using a Low-Rank Model in Embedded Space",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Yokota_Missing_Slice_Recovery_CVPR_2018_paper.html",
        "author": "Tatsuya Yokota, Burak Erem, Seyhmus Guler, Simon K. Warfield, Hidekata Hontani",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Yokota_Missing_Slice_Recovery_CVPR_2018_paper.pdf",
        "aff": "Boston Children\u2019s Hospital, 300 Longwood Ave., Boston, MA, United States; Nagoya Institute of Technology, Gokiso, Showa, Nagoya, Japan",
        "project": "",
        "github": "",
        "arxiv": "1804.01736v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Mix and Match Networks: Encoder-Decoder Alignment for Zero-Pair Image Translation",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Wang_Mix_and_Match_CVPR_2018_paper.html",
        "author": "Yaxing Wang, Joost van de Weijer, Luis Herranz",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Wang_Mix_and_Match_CVPR_2018_paper.pdf",
        "aff": "Computer Vision Center, Universitat Aut `onoma de Barcelona, Barcelona, Spain",
        "project": "",
        "github": "",
        "arxiv": "1804.02199v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "MoCoGAN: Decomposing Motion and Content for Video Generation",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Tulyakov_MoCoGAN_Decomposing_Motion_CVPR_2018_paper.html",
        "author": "Sergey Tulyakov, Ming-Yu Liu, Xiaodong Yang, Jan Kautz",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Tulyakov_MoCoGAN_Decomposing_Motion_CVPR_2018_paper.pdf",
        "aff": "Snap Research; NVIDIA",
        "project": "",
        "github": "https://github.com/sergeytulyakov/mocogan",
        "arxiv": "1707.04993v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "MoNet: Deep Motion Exploitation for Video Object Segmentation",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Xiao_MoNet_Deep_Motion_CVPR_2018_paper.html",
        "author": "Huaxin Xiao, Jiashi Feng, Guosheng Lin, Yu Liu, Maojun Zhang",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Xiao_MoNet_Deep_Motion_CVPR_2018_paper.pdf",
        "aff": "National University of Singapore; National University of Defense Technology; Nanyang Technological University",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "MoNet: Moments Embedding Network",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Gou_MoNet_Moments_Embedding_CVPR_2018_paper.html",
        "author": "Mengran Gou, Fei Xiong, Octavia Camps, Mario Sznaier",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Gou_MoNet_Moments_Embedding_CVPR_2018_paper.pdf",
        "aff": "Information Sciences Institute, USC, CA, US; Electrical and Computer Engineering, Northeastern University, Boston, MA, US",
        "project": "",
        "github": "",
        "arxiv": "1802.07303v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Mobile Video Object Detection With Temporally-Aware Feature Maps",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Liu_Mobile_Video_Object_CVPR_2018_paper.html",
        "author": "Mason Liu, Menglong Zhu",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Liu_Mobile_Video_Object_CVPR_2018_paper.pdf",
        "aff": "Google; Georgia Tech\u2217",
        "project": "",
        "github": "",
        "arxiv": "1711.06368v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "MobileNetV2: Inverted Residuals and Linear Bottlenecks",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Sandler_MobileNetV2_Inverted_Residuals_CVPR_2018_paper.html",
        "author": "Mark Sandler, Andrew Howard, Menglong Zhu, Andrey Zhmoginov, Liang-Chieh Chen",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Sandler_MobileNetV2_Inverted_Residuals_CVPR_2018_paper.pdf",
        "aff": "Google Inc.",
        "project": "",
        "github": "https://github.com/tensorflow/models/tree/master/research/slim/nets/mobilenet",
        "arxiv": "1801.04381v4",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Modeling Facial Geometry Using Compositional VAEs",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Bagautdinov_Modeling_Facial_Geometry_CVPR_2018_paper.html",
        "author": "Timur Bagautdinov, Chenglei Wu, Jason Saragih, Pascal Fua, Yaser Sheikh",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Bagautdinov_Modeling_Facial_Geometry_CVPR_2018_paper.pdf",
        "aff": "Facebook Reality Labs, Pittsburgh; Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Modifying Non-Local Variations Across Multiple Views",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Tlusty_Modifying_Non-Local_Variations_CVPR_2018_paper.html",
        "author": "Tal Tlusty, Tomer Michaeli, Tali Dekel, Lihi Zelnik-Manor",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Tlusty_Modifying_Non-Local_Variations_CVPR_2018_paper.pdf",
        "aff": "Technion, Israel; Google Research",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Modulated Convolutional Networks",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Wang_Modulated_Convolutional_Networks_CVPR_2018_paper.html",
        "author": "Xiaodi Wang, Baochang Zhang, Ce Li, Rongrong Ji, Jungong Han, Xianbin Cao, Jianzhuang Liu",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Wang_Modulated_Convolutional_Networks_CVPR_2018_paper.pdf",
        "aff": "",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1804.00227",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Monocular 3D Pose and Shape Estimation of Multiple People in Natural Scenes - The Importance of Multiple Scene Constraints",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Zanfir_Monocular_3D_Pose_CVPR_2018_paper.html",
        "author": "Andrei Zanfir, Elisabeta Marinoiu, Cristian Sminchisescu",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Zanfir_Monocular_3D_Pose_CVPR_2018_paper.pdf",
        "aff": "Department of Mathematics, Faculty of Engineering, Lund University; Institute of Mathematics of the Romanian Academy",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Monocular Relative Depth Perception With Web Stereo Data Supervision",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Xian_Monocular_Relative_Depth_CVPR_2018_paper.html",
        "author": "Ke Xian, Chunhua Shen, Zhiguo Cao, Hao Lu, Yang Xiao, Ruibo Li, Zhenbo Luo",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Xian_Monocular_Relative_Depth_CVPR_2018_paper.pdf",
        "aff": "Samsung Research Beijing, China; The University of Adelaide, Australia; School of Automation, Huazhong University of Science and Technology, China",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "MorphNet: Fast & Simple Resource-Constrained Structure Learning of Deep Networks",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Gordon_MorphNet_Fast__CVPR_2018_paper.html",
        "author": "Ariel Gordon, Elad Eban, Ofir Nachum, Bo Chen, Hao Wu, Tien-Ju Yang, Edward Choi",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Gordon_MorphNet_Fast__CVPR_2018_paper.pdf",
        "aff": "Google AI; Georgia Institute of Technology; Google Brain; Energy-ef\ufb01cient multimedia systems group, MIT",
        "project": "",
        "github": "",
        "arxiv": "1711.06798v3",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Motion Segmentation by Exploiting Complementary Geometric Models",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Xu_Motion_Segmentation_by_CVPR_2018_paper.html",
        "author": "Xun Xu, Loong Fah Cheong, Zhuwen Li",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Xu_Motion_Segmentation_by_CVPR_2018_paper.pdf",
        "aff": "National University of Singapore; Intel Labs",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1804.02142",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Motion-Appearance Co-Memory Networks for Video Question Answering",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Gao_Motion-Appearance_Co-Memory_Networks_CVPR_2018_paper.html",
        "author": "Jiyang Gao, Runzhou Ge, Kan Chen, Ram Nevatia",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Gao_Motion-Appearance_Co-Memory_Networks_CVPR_2018_paper.pdf",
        "aff": "University of Southern California",
        "project": "",
        "github": "",
        "arxiv": "1803.10906v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Motion-Guided Cascaded Refinement Network for Video Object Segmentation",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Hu_Motion-Guided_Cascaded_Refinement_CVPR_2018_paper.html",
        "author": "Ping Hu, Gang Wang, Xiangfei Kong, Jason Kuen, Yap-Peng Tan",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Hu_Motion-Guided_Cascaded_Refinement_CVPR_2018_paper.pdf",
        "aff": "Alibaba AI Labs; Nanyang Technological University",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "MovieGraphs: Towards Understanding Human-Centric Situations From Videos",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Vicol_MovieGraphs_Towards_Understanding_CVPR_2018_paper.html",
        "author": "Paul Vicol, Makarand Tapaswi, Llu\u00eds Castrej\u00f3n, Sanja Fidler",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Vicol_MovieGraphs_Towards_Understanding_CVPR_2018_paper.pdf",
        "aff": "University of Toronto, Vector Institute; Montreal Institute for Learning Algorithms",
        "project": "http://moviegraphs.cs.toronto.edu",
        "github": "",
        "arxiv": "arXiv:1712.06761",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Multi-Agent Diverse Generative Adversarial Networks",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Ghosh_Multi-Agent_Diverse_Generative_CVPR_2018_paper.html",
        "author": "Arnab Ghosh, Viveka Kulharia, Vinay P. Namboodiri, Philip H.S. Torr, Puneet K. Dokania",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Ghosh_Multi-Agent_Diverse_Generative_CVPR_2018_paper.pdf",
        "aff": "IIT Kanpur, India; University of Oxford, UK",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1704.02906",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Multi-Cell Detection and Classification Using a Generative Convolutional Model",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Yellin_Multi-Cell_Detection_and_CVPR_2018_paper.html",
        "author": "Florence Yellin, Benjamin D. Haeffele, Sophie Roth, Ren\u00e9 Vidal",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Yellin_Multi-Cell_Detection_and_CVPR_2018_paper.pdf",
        "aff": "IMEC; Johns Hopkins University",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Multi-Content GAN for Few-Shot Font Style Transfer",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Azadi_Multi-Content_GAN_for_CVPR_2018_paper.html",
        "author": "Samaneh Azadi, Matthew Fisher, Vladimir G. Kim, Zhaowen Wang, Eli Shechtman, Trevor Darrell",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Azadi_Multi-Content_GAN_for_CVPR_2018_paper.pdf",
        "aff": "Adobe Research; UC Berkeley",
        "project": "",
        "github": "https://github.com/azadis/MC-GAN",
        "arxiv": "arXiv:1712.00516",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Multi-Cue Correlation Filters for Robust Visual Tracking",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Wang_Multi-Cue_Correlation_Filters_CVPR_2018_paper.html",
        "author": "Ning Wang, Wengang Zhou, Qi Tian, Richang Hong, Meng Wang, Houqiang Li",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Wang_Multi-Cue_Correlation_Filters_CVPR_2018_paper.pdf",
        "aff": "University of Texas at San Antonio; HeFei University of Technology; CAS Key Laboratory of GIPAS, University of Science and Technology of China",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Multi-Evidence Filtering and Fusion for Multi-Label Classification, Object Detection and Semantic Segmentation Based on Weakly Supervised Learning",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Ge_Multi-Evidence_Filtering_and_CVPR_2018_paper.html",
        "author": "Weifeng Ge, Sibei Yang, Yizhou Yu",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Ge_Multi-Evidence_Filtering_and_CVPR_2018_paper.pdf",
        "aff": "Department of Computer Science, The University of Hong Kong",
        "project": "",
        "github": "",
        "arxiv": "1802.09129v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Multi-Frame Quality Enhancement for Compressed Video",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Yang_Multi-Frame_Quality_Enhancement_CVPR_2018_paper.html",
        "author": "Ren Yang, Mai Xu, Zulin Wang, Tianyi Li",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Yang_Multi-Frame_Quality_Enhancement_CVPR_2018_paper.pdf",
        "aff": "School of Electronic and Information Engineering, Beihang University, Beijing, China",
        "project": "",
        "github": "https://github.com/ryangBUAA/MFQE.git",
        "arxiv": "1803.04680v4",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Multi-Image Semantic Matching by Mining Consistent Features",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Wang_Multi-Image_Semantic_Matching_CVPR_2018_paper.html",
        "author": "Qianqian Wang, Xiaowei Zhou, Kostas Daniilidis",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Wang_Multi-Image_Semantic_Matching_CVPR_2018_paper.pdf",
        "aff": "GRASP Laboratory, University of Pennsylvania; State Key Lab of CAD&CG, Zhejiang University",
        "project": "",
        "github": "",
        "arxiv": "1711.07641v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Multi-Label Zero-Shot Learning With Structured Knowledge Graphs",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Lee_Multi-Label_Zero-Shot_Learning_CVPR_2018_paper.html",
        "author": "Chung-Wei Lee, Wei Fang, Chih-Kuan Yeh, Yu-Chiang Frank Wang",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Lee_Multi-Label_Zero-Shot_Learning_CVPR_2018_paper.pdf",
        "aff": "Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan; Machine Learning Department, Carnegie Mellon University, Pittsburgh, USA",
        "project": "",
        "github": "",
        "arxiv": "1711.06526v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Multi-Level Factorisation Net for Person Re-Identification",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Chang_Multi-Level_Factorisation_Net_CVPR_2018_paper.html",
        "author": "Xiaobin Chang, Timothy M. Hospedales, Tao Xiang",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Chang_Multi-Level_Factorisation_Net_CVPR_2018_paper.pdf",
        "aff": "Queen Mary University of London; The University of Edinburgh",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1803.09132",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Multi-Level Fusion Based 3D Object Detection From Monocular Images",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Xu_Multi-Level_Fusion_Based_CVPR_2018_paper.html",
        "author": "Bin Xu, Zhenzhong Chen",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Xu_Multi-Level_Fusion_Based_CVPR_2018_paper.pdf",
        "aff": "School of Remote Sensing and Information Engineering, Wuhan University, China",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Multi-Oriented Scene Text Detection via Corner Localization and Region Segmentation",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Lyu_Multi-Oriented_Scene_Text_CVPR_2018_paper.html",
        "author": "Pengyuan Lyu, Cong Yao, Wenhao Wu, Shuicheng Yan, Xiang Bai",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Lyu_Multi-Oriented_Scene_Text_CVPR_2018_paper.pdf",
        "aff": "National University of Singapore; Huazhong University of Science and Technology; Megvii (Face++) Technology Inc.",
        "project": "",
        "github": "",
        "arxiv": "1802.08948v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Multi-Scale Location-Aware Kernel Representation for Object Detection",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Wang_Multi-Scale_Location-Aware_Kernel_CVPR_2018_paper.html",
        "author": "Hao Wang, Qilong Wang, Mingqi Gao, Peihua Li, Wangmeng Zuo",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Wang_Multi-Scale_Location-Aware_Kernel_CVPR_2018_paper.pdf",
        "aff": "School of Information and Communication Engineering, Dalian University of Technology, Dalian, China; School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China",
        "project": "",
        "github": "https://github.com/Hwang64/MLKP",
        "arxiv": "1804.00428v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Multi-Scale Weighted Nuclear Norm Image Restoration",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Yair_Multi-Scale_Weighted_Nuclear_CVPR_2018_paper.html",
        "author": "Noam Yair, Tomer Michaeli",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Yair_Multi-Scale_Weighted_Nuclear_CVPR_2018_paper.pdf",
        "aff": "Technion - Israel Institute of Technology",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Multi-Shot Pedestrian Re-Identification via Sequential Decision Making",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Zhang_Multi-Shot_Pedestrian_Re-Identification_CVPR_2018_paper.html",
        "author": "Jianfu Zhang, Naiyan Wang, Liqing Zhang",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Zhang_Multi-Shot_Pedestrian_Re-Identification_CVPR_2018_paper.pdf",
        "aff": "TuSimple; Shanghai Jiao Tong University\u2217",
        "project": "",
        "github": "",
        "arxiv": "1712.07257v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Multi-Task Adversarial Network for Disentangled Feature Learning",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Liu_Multi-Task_Adversarial_Network_CVPR_2018_paper.html",
        "author": "Yang Liu, Zhaowen Wang, Hailin Jin, Ian Wassell",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Liu_Multi-Task_Adversarial_Network_CVPR_2018_paper.pdf",
        "aff": "Adobe Research; University of Cambridge",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Kendall_Multi-Task_Learning_Using_CVPR_2018_paper.html",
        "author": "Alex Kendall, Yarin Gal, Roberto Cipolla",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Kendall_Multi-Task_Learning_Using_CVPR_2018_paper.pdf",
        "aff": "University of Cambridge",
        "project": "",
        "github": "",
        "arxiv": "1705.07115v3",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Multi-Task Learning by Maximizing Statistical Dependence",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Mejjati_Multi-Task_Learning_by_CVPR_2018_paper.html",
        "author": "Youssef A. Mejjati, Darren Cosker, Kwang In Kim",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Mejjati_Multi-Task_Learning_by_CVPR_2018_paper.pdf",
        "aff": "University of Bath",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Multi-View Consistency as Supervisory Signal for Learning Shape and Pose Prediction",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Tulsiani_Multi-View_Consistency_as_CVPR_2018_paper.html",
        "author": "Shubham Tulsiani, Alexei A. Efros, Jitendra Malik",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Tulsiani_Multi-View_Consistency_as_CVPR_2018_paper.pdf",
        "aff": "University of California, Berkeley",
        "project": "https://shubhtuls.github.io/mvcSnP/",
        "github": "https://github.com/shubhtuls/mvcSnP",
        "arxiv": "arXiv:1801.03910",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Multi-View Harmonized Bilinear Network for 3D Object Recognition",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Yu_Multi-View_Harmonized_Bilinear_CVPR_2018_paper.html",
        "author": "Tan Yu, Jingjing Meng, Junsong Yuan",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Yu_Multi-View_Harmonized_Bilinear_CVPR_2018_paper.pdf",
        "aff": "Department of CSE, State University of New York at Buffalo; Interdisciplinary Graduate School, Nanyang Technological University",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Multimodal Explanations: Justifying Decisions and Pointing to the Evidence",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Park_Multimodal_Explanations_Justifying_CVPR_2018_paper.html",
        "author": "Dong Huk Park, Lisa Anne Hendricks, Zeynep Akata, Anna Rohrbach, Bernt Schiele, Trevor Darrell, Marcus Rohrbach",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Park_Multimodal_Explanations_Justifying_CVPR_2018_paper.pdf",
        "aff": "MPI for Informatics; University of Amsterdam; Facebook AI Research; EECS, UC Berkeley",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1802.08129",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Multimodal Visual Concept Learning With Weakly Supervised Techniques",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Bouritsas_Multimodal_Visual_Concept_CVPR_2018_paper.html",
        "author": "Giorgos Bouritsas, Petros Koutras, Athanasia Zlatintsi, Petros Maragos",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Bouritsas_Multimodal_Visual_Concept_CVPR_2018_paper.pdf",
        "aff": "School of E.C.E., National Technical University of Athens, Greece",
        "project": "",
        "github": "",
        "arxiv": "1712.00796v3",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Multiple Granularity Group Interaction Prediction",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Yao_Multiple_Granularity_Group_CVPR_2018_paper.html",
        "author": "Taiping Yao, Minsi Wang, Bingbing Ni, Huawei Wei, Xiaokang Yang",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Yao_Multiple_Granularity_Group_CVPR_2018_paper.pdf",
        "aff": "Shanghai Institute for Advanced Communication and Data Science, Shanghai Key Laboratory of Digital Media Processing and Transmission, Shanghai Jiao Tong University, Shanghai 200240, China",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Multispectral Image Intrinsic Decomposition via Subspace Constraint",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Huang_Multispectral_Image_Intrinsic_CVPR_2018_paper.html",
        "author": "Qian Huang, Weixin Zhu, Yang Zhao, Linsen Chen, Yao Wang, Tao Yue, Xun Cao",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Huang_Multispectral_Image_Intrinsic_CVPR_2018_paper.pdf",
        "aff": "Department of Electrical and Computer Engineering, New York University; School of Electronic Science and Engineering, Nanjing University",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Multistage Adversarial Losses for Pose-Based Human Image Synthesis",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Si_Multistage_Adversarial_Losses_CVPR_2018_paper.html",
        "author": "Chenyang Si, Wei Wang, Liang Wang, Tieniu Tan",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Si_Multistage_Adversarial_Losses_CVPR_2018_paper.pdf",
        "aff": "Center for Research on Intelligent Perception and Computing (CRIPAC), National Laboratory of Pattern Recognition (NLPR), Center for Excellence in Brain Science and Intelligence Technology (CEBSIT), Institute of Automation, Chinese Academy of Sciences (CASIA), University of Chinese Academy of Sciences (UCAS)",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "NAG: Network for Adversary Generation",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Mopuri_NAG_Network_for_CVPR_2018_paper.html",
        "author": "Konda Reddy Mopuri, Utkarsh Ojha, Utsav Garg, R. Venkatesh Babu",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Mopuri_NAG_Network_for_CVPR_2018_paper.pdf",
        "aff": "Video Analytics Lab, Computational and Data Sciences, Indian Institute of Science, Bangalore, India",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1712.03390",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "NISP: Pruning Networks Using Neuron Importance Score Propagation",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Yu_NISP_Pruning_Networks_CVPR_2018_paper.html",
        "author": "Ruichi Yu, Ang Li, Chun-Fu Chen, Jui-Hsin Lai, Vlad I. Morariu, Xintong Han, Mingfei Gao, Ching-Yung Lin, Larry S. Davis",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Yu_NISP_Pruning_Networks_CVPR_2018_paper.pdf",
        "aff": "DeepMind; JD.com; University of Maryland, College Park; IBM T. J. Watson Research; Adobe Research; Graphen.ai",
        "project": "",
        "github": "",
        "arxiv": "1711.05908v3",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Natural and Effective Obfuscation by Head Inpainting",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Sun_Natural_and_Effective_CVPR_2018_paper.html",
        "author": "Qianru Sun, Liqian Ma, Seong Joon Oh, Luc Van Gool, Bernt Schiele, Mario Fritz",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Sun_Natural_and_Effective_CVPR_2018_paper.pdf",
        "aff": "Max Planck Institute for Informatics, Saarland Informatics Campus; KU-Leuven/PSI, Toyota Motor Europe (TRACE) ETH Zurich; KU-Leuven/PSI, Toyota Motor Europe (TRACE)",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1711.09001",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "NestedNet: Learning Nested Sparse Structures in Deep Neural Networks",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Kim_NestedNet_Learning_Nested_CVPR_2018_paper.html",
        "author": "Eunwoo Kim, Chanho Ahn, Songhwai Oh",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Kim_NestedNet_Learning_Nested_CVPR_2018_paper.pdf",
        "aff": "Department of ECE and ASRI, Seoul National University, South Korea",
        "project": "",
        "github": "",
        "arxiv": "1712.03781v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Net2Vec: Quantifying and Explaining How Concepts Are Encoded by Filters in Deep Neural Networks",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Fong_Net2Vec_Quantifying_and_CVPR_2018_paper.html",
        "author": "Ruth Fong, Andrea Vedaldi",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Fong_Net2Vec_Quantifying_and_CVPR_2018_paper.pdf",
        "aff": "University of Oxford",
        "project": "",
        "github": "",
        "arxiv": "1801.03454v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Neural 3D Mesh Renderer",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Kato_Neural_3D_Mesh_CVPR_2018_paper.html",
        "author": "Hiroharu Kato, Yoshitaka Ushiku, Tatsuya Harada",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Kato_Neural_3D_Mesh_CVPR_2018_paper.pdf",
        "aff": "The University of Tokyo; The University of Tokyo, RIKEN",
        "project": "",
        "github": "",
        "arxiv": "1711.07566v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Neural Baby Talk",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Lu_Neural_Baby_Talk_CVPR_2018_paper.html",
        "author": "Jiasen Lu, Jianwei Yang, Dhruv Batra, Devi Parikh",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Lu_Neural_Baby_Talk_CVPR_2018_paper.pdf",
        "aff": "Georgia Institute of Technology; Facebook AI Research",
        "project": "",
        "github": "https://github.com/jiasenlu/NeuralBabyTalk",
        "arxiv": "1803.09845v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Neural Kinematic Networks for Unsupervised Motion Retargetting",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Villegas_Neural_Kinematic_Networks_CVPR_2018_paper.html",
        "author": "Ruben Villegas, Jimei Yang, Duygu Ceylan, Honglak Lee",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Villegas_Neural_Kinematic_Networks_CVPR_2018_paper.pdf",
        "aff": "University of Michigan, Ann Arbor and Google Brain; Adobe Research; University of Michigan, Ann Arbor",
        "project": "",
        "github": "",
        "arxiv": "1804.05653v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Neural Motifs: Scene Graph Parsing With Global Context",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Zellers_Neural_Motifs_Scene_CVPR_2018_paper.html",
        "author": "Rowan Zellers, Mark Yatskar, Sam Thomson, Yejin Choi",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Zellers_Neural_Motifs_Scene_CVPR_2018_paper.pdf",
        "aff": "Paul G. Allen School of Computer Science & Engineering, University of Washington; School of Computer Science, Carnegie Mellon University",
        "project": "https://rowanzellers.com/neuralmotifs",
        "github": "github.com/rowanz/neural-motifs",
        "arxiv": "1711.06640v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Neural Sign Language Translation",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Camgoz_Neural_Sign_Language_CVPR_2018_paper.html",
        "author": "Necati Cihan Camgoz, Simon Hadfield, Oscar Koller, Hermann Ney, Richard Bowden",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Camgoz_Neural_Sign_Language_CVPR_2018_paper.pdf",
        "aff": "University of Surrey; RWTH Aachen University",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Neural Style Transfer via Meta Networks",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Shen_Neural_Style_Transfer_CVPR_2018_paper.html",
        "author": "Falong Shen, Shuicheng Yan, Gang Zeng",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Shen_Neural_Style_Transfer_CVPR_2018_paper.pdf",
        "aff": "Peking University; 360 AI Institute, National University of Singapore",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "NeuralNetwork-Viterbi: A Framework for Weakly Supervised Video Learning",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Richard_NeuralNetwork-Viterbi_A_Framework_CVPR_2018_paper.html",
        "author": "Alexander Richard, Hilde Kuehne, Ahsan Iqbal, Juergen Gall",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Richard_NeuralNetwork-Viterbi_A_Framework_CVPR_2018_paper.pdf",
        "aff": "University of Bonn, Germany",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1805.06875",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Non-Blind Deblurring: Handling Kernel Uncertainty With CNNs",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Vasu_Non-Blind_Deblurring_Handling_CVPR_2018_paper.html",
        "author": "Subeesh Vasu, Venkatesh Reddy Maligireddy, A. N. Rajagopalan",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Vasu_Non-Blind_Deblurring_Handling_CVPR_2018_paper.pdf",
        "aff": "Indian Institute of Technology Madras",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Non-Linear Temporal Subspace Representations for Activity Recognition",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Cherian_Non-Linear_Temporal_Subspace_CVPR_2018_paper.html",
        "author": "Anoop Cherian, Suvrit Sra, Stephen Gould, Richard Hartley",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Cherian_Non-Linear_Temporal_Subspace_CVPR_2018_paper.pdf",
        "aff": "MERL, Cambridge MA; MIT, Cambridge MA; ACRV, ANU Canberra",
        "project": "",
        "github": "",
        "arxiv": "1803.11064v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Non-Local Neural Networks",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Wang_Non-Local_Neural_Networks_CVPR_2018_paper.html",
        "author": "Xiaolong Wang, Ross Girshick, Abhinav Gupta, Kaiming He",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Wang_Non-Local_Neural_Networks_CVPR_2018_paper.pdf",
        "aff": "Carnegie Mellon University; Facebook AI Research",
        "project": "",
        "github": "",
        "arxiv": "1711.07971v3",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Nonlinear 3D Face Morphable Model",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Tran_Nonlinear_3D_Face_CVPR_2018_paper.html",
        "author": "Luan Tran, Xiaoming Liu",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Tran_Nonlinear_3D_Face_CVPR_2018_paper.pdf",
        "aff": "Department of Computer Science and Engineering, Michigan State University, East Lansing MI 48824",
        "project": "http://cvlab.cse.msu.edu/project-nonlinear-3dmm.html",
        "github": "",
        "arxiv": "arXiv:1804.03786",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Nonlocal Low-Rank Tensor Factor Analysis for Image Restoration",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Zhang_Nonlocal_Low-Rank_Tensor_CVPR_2018_paper.html",
        "author": "Xinyuan Zhang, Xin Yuan, Lawrence Carin",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Zhang_Nonlocal_Low-Rank_Tensor_CVPR_2018_paper.pdf",
        "aff": "Nokia Bell Labs, Murray Hill, NJ, USA; Duke University, Durham, NC, USA",
        "project": "",
        "github": "",
        "arxiv": "1803.06795v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Normalized Cut Loss for Weakly-Supervised CNN Segmentation",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Tang_Normalized_Cut_Loss_CVPR_2018_paper.html",
        "author": "Meng Tang, Abdelaziz Djelouah, Federico Perazzi, Yuri Boykov, Christopher Schroers",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Tang_Normalized_Cut_Loss_CVPR_2018_paper.pdf",
        "aff": "Computer Science, University of Waterloo, Canada; Disney Research, Z\u00fcrich, Switzerland",
        "project": "",
        "github": "",
        "arxiv": "1804.01346v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Now You Shake Me: Towards Automatic 4D Cinema",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Zhou_Now_You_Shake_CVPR_2018_paper.html",
        "author": "Yuhao Zhou, Makarand Tapaswi, Sanja Fidler",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Zhou_Now_You_Shake_CVPR_2018_paper.pdf",
        "aff": "University of Toronto, Vector Institute; University of Toronto",
        "project": "http://www.cs.toronto.edu/~henryzhou/movie4d/",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "OATM: Occlusion Aware Template Matching by Consensus Set Maximization",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Korman_OATM_Occlusion_Aware_CVPR_2018_paper.html",
        "author": "Simon Korman, Mark Milam, Stefano Soatto",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Korman_OATM_Occlusion_Aware_CVPR_2018_paper.pdf",
        "aff": "UCLA Vision Lab; Northrop Grumman; Weizmann Institute of Science",
        "project": "",
        "github": "",
        "arxiv": "1804.02638v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "OL\u00c9: Orthogonal Low-Rank Embedding - A Plug and Play Geometric Loss for Deep Learning",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Lezama_OLE_Orthogonal_Low-Rank_CVPR_2018_paper.html",
        "author": "Jos\u00e9 Lezama, Qiang Qiu, Pablo Mus\u00e9, Guillermo Sapiro",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Lezama_OLE_Orthogonal_Low-Rank_CVPR_2018_paper.pdf",
        "aff": "IIE, Universidad de la Rep \u00b4ublica, Uruguay; ECE, Duke University, USA",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Object Referring in Videos With Language and Human Gaze",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Vasudevan_Object_Referring_in_CVPR_2018_paper.html",
        "author": "Arun Balajee Vasudevan, Dengxin Dai, Luc Van Gool",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Vasudevan_Object_Referring_in_CVPR_2018_paper.pdf",
        "aff": "ETH Zurich; ETH Zurich, KU Leuven",
        "project": "https://people.ee.ethz.ch/~arunv/ORGaze.html",
        "github": "",
        "arxiv": "arXiv:1801.01582",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Objects as Context for Detecting Their Semantic Parts",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Gonzalez-Garcia_Objects_as_Context_CVPR_2018_paper.html",
        "author": "Abel Gonzalez-Garcia, Davide Modolo, Vittorio Ferrari",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Gonzalez-Garcia_Objects_as_Context_CVPR_2018_paper.pdf",
        "aff": "; University of Edinburgh",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1703.09529",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Occluded Pedestrian Detection Through Guided Attention in CNNs",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Zhang_Occluded_Pedestrian_Detection_CVPR_2018_paper.html",
        "author": "Shanshan Zhang, Jian Yang, Bernt Schiele",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Zhang_Occluded_Pedestrian_Detection_CVPR_2018_paper.pdf",
        "aff": "Key Lab of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, School of Computer Science and Engineering, Nanjing University of Science and Technology, China; Jiangsu Key Lab of Image and Video Understanding for Social Security, School of Computer Science and Engineering, Nanjing University of Science and Technology, China; Max Planck Institute for Informatics, Saarland Informatics Campus, Germany",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Occlusion Aware Unsupervised Learning of Optical Flow",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Wang_Occlusion_Aware_Unsupervised_CVPR_2018_paper.html",
        "author": "Yang Wang, Yi Yang, Zhenheng Yang, Liang Zhao, Peng Wang, Wei Xu",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Wang_Occlusion_Aware_Unsupervised_CVPR_2018_paper.pdf",
        "aff": "Baidu Research; University of Southern California; Baidu Research, National Engineering Laboratory for Deep Learning Technology and Applications",
        "project": "",
        "github": "",
        "arxiv": "1711.05890v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Occlusion-Aware Rolling Shutter Rectification of 3D Scenes",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Vasu_Occlusion-Aware_Rolling_Shutter_CVPR_2018_paper.html",
        "author": "Subeesh Vasu, Mahesh Mohan M. R., A. N. Rajagopalan",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Vasu_Occlusion-Aware_Rolling_Shutter_CVPR_2018_paper.pdf",
        "aff": "Indian Institute of Technology Madras",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "On the Convergence of PatchMatch and Its Variants",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Ehret_On_the_Convergence_CVPR_2018_paper.html",
        "author": "Thibaud Ehret, Pablo Arias",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Ehret_On_the_Convergence_CVPR_2018_paper.pdf",
        "aff": "CMLA, ENS Cachan, CNRS, Universit\u00e9 Paris-Saclay, 94235 Cachan, France",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "On the Duality Between Retinex and Image Dehazing",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Galdran_On_the_Duality_CVPR_2018_paper.html",
        "author": "Adrian Galdran, Aitor Alvarez-Gila, Alessandro Bria, Javier Vazquez-Corral, Marcelo Bertalm\u00edo",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Galdran_On_the_Duality_CVPR_2018_paper.pdf",
        "aff": "Dpt. of Information and Communication Technologies, Universitat Pompeu Fabra, Spain; Tecnalia, Spain; Computer Vision Center, Spain; Dpt. of Electrical and Information Engineering, University of Cassino and L.M., Italy; INESC TEC Porto, Portugal",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1712.02754",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "On the Importance of Label Quality for Semantic Segmentation",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Zlateski_On_the_Importance_CVPR_2018_paper.html",
        "author": "Aleksandar Zlateski, Ronnachai Jaroensri, Prafull Sharma, Fr\u00e9do Durand",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Zlateski_On_the_Importance_CVPR_2018_paper.pdf",
        "aff": "",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "On the Robustness of Semantic Segmentation Models to Adversarial Attacks",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Arnab_On_the_Robustness_CVPR_2018_paper.html",
        "author": "Anurag Arnab, Ondrej Miksik, Philip H.S. Torr",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Arnab_On_the_Robustness_CVPR_2018_paper.pdf",
        "aff": "University of Oxford; University of Oxford, Emotech Labs",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1711.09856",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "One-Shot Action Localization by Learning Sequence Matching Network",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Yang_One-Shot_Action_Localization_CVPR_2018_paper.html",
        "author": "Hongtao Yang, Xuming He, Fatih Porikli",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Yang_One-Shot_Action_Localization_CVPR_2018_paper.pdf",
        "aff": "ShanghaiTech University; The Australian National University",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Optical Flow Guided Feature: A Fast and Robust Motion Representation for Video Action Recognition",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Sun_Optical_Flow_Guided_CVPR_2018_paper.html",
        "author": "Shuyang Sun, Zhanghui Kuang, Lu Sheng, Wanli Ouyang, Wei Zhang",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Sun_Optical_Flow_Guided_CVPR_2018_paper.pdf",
        "aff": "The Chinese University of Hong Kong; The University of Sydney; SenseTime Research",
        "project": "",
        "github": "https://github.com/kevin-ssy/Optical-Flow-Guided-Feature",
        "arxiv": "1711.11152v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Optimal Structured Light \u00e0 La Carte",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Mirdehghan_Optimal_Structured_Light_CVPR_2018_paper.html",
        "author": "Parsa Mirdehghan, Wenzheng Chen, Kiriakos N. Kutulakos",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Mirdehghan_Optimal_Structured_Light_CVPR_2018_paper.pdf",
        "aff": "Department of Computer Science, University of Toronto",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Optimizing Filter Size in Convolutional Neural Networks for Facial Action Unit Recognition",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Han_Optimizing_Filter_Size_CVPR_2018_paper.html",
        "author": "Shizhong Han, Zibo Meng, Zhiyuan Li, James O'Reilly, Jie Cai, Xiaofeng Wang, Yan Tong",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Han_Optimizing_Filter_Size_CVPR_2018_paper.pdf",
        "aff": "Department of Computer Science & Engineering, University of South Carolina, Columbia, SC; Department of Electrical Engineering, University of South Carolina, Columbia, SC",
        "project": "",
        "github": "",
        "arxiv": "1707.08630v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Optimizing Video Object Detection via a Scale-Time Lattice",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Chen_Optimizing_Video_Object_CVPR_2018_paper.html",
        "author": "Kai Chen, Jiaqi Wang, Shuo Yang, Xingcheng Zhang, Yuanjun Xiong, Chen Change Loy, Dahua Lin",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Chen_Optimizing_Video_Object_CVPR_2018_paper.pdf",
        "aff": "CUHK - SenseTime Joint Lab, The Chinese University of Hong Kong; CUHK - SenseTime Joint Lab, The Chinese University of Hong Kong / Amazon Rekognition",
        "project": "",
        "github": "http://mmlab.ie.cuhk.edu.hk/projects/ST-Lattice/",
        "arxiv": "1804.05472v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Ordinal Depth Supervision for 3D Human Pose Estimation",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Pavlakos_Ordinal_Depth_Supervision_CVPR_2018_paper.html",
        "author": "Georgios Pavlakos, Xiaowei Zhou, Kostas Daniilidis",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Pavlakos_Ordinal_Depth_Supervision_CVPR_2018_paper.pdf",
        "aff": "University of Pennsylvania; State Key Lab of CAD&CG, Zhejiang University",
        "project": "",
        "github": "",
        "arxiv": "1805.04095v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "PAD-Net: Multi-Tasks Guided Prediction-and-Distillation Network for Simultaneous Depth Estimation and Scene Parsing",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Xu_PAD-Net_Multi-Tasks_Guided_CVPR_2018_paper.html",
        "author": "Dan Xu, Wanli Ouyang, Xiaogang Wang, Nicu Sebe",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Xu_PAD-Net_Multi-Tasks_Guided_CVPR_2018_paper.pdf",
        "aff": "The University of Trento; The Chinese University of Hong Kong; The University of Sydney",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1805.04409",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "PIXOR: Real-Time 3D Object Detection From Point Clouds",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Yang_PIXOR_Real-Time_3D_CVPR_2018_paper.html",
        "author": "Bin Yang, Wenjie Luo, Raquel Urtasun",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Yang_PIXOR_Real-Time_3D_CVPR_2018_paper.pdf",
        "aff": "Uber Advanced Technologies Group; University of Toronto",
        "project": "",
        "github": "",
        "arxiv": "1902.06326v3",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "PPFNet: Global Context Aware Local Features for Robust 3D Point Matching",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Deng_PPFNet_Global_Context_CVPR_2018_paper.html",
        "author": "Haowen Deng, Tolga Birdal, Slobodan Ilic",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Deng_PPFNet_Global_Context_CVPR_2018_paper.pdf",
        "aff": "Technische Universitat Munchen, Germany; Siemens AG, Munchen, Germany",
        "project": "",
        "github": "",
        "arxiv": "1802.02669v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "PU-Net: Point Cloud Upsampling Network",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Yu_PU-Net_Point_Cloud_CVPR_2018_paper.html",
        "author": "Lequan Yu, Xianzhi Li, Chi-Wing Fu, Daniel Cohen-Or, Pheng-Ann Heng",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Yu_PU-Net_Point_Cloud_CVPR_2018_paper.pdf",
        "aff": "Tel Aviv University; The Chinese University of Hong Kong",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1801.06761",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Sun_PWC-Net_CNNs_for_CVPR_2018_paper.html",
        "author": "Deqing Sun, Xiaodong Yang, Ming-Yu Liu, Jan Kautz",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Sun_PWC-Net_CNNs_for_CVPR_2018_paper.pdf",
        "aff": "NVIDIA",
        "project": "http://www.cs.unc.edu/~ysun63/pwcnet/",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Mallya_PackNet_Adding_Multiple_CVPR_2018_paper.html",
        "author": "Arun Mallya, Svetlana Lazebnik",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Mallya_PackNet_Adding_Multiple_CVPR_2018_paper.pdf",
        "aff": "University of Illinois at Urbana-Champaign",
        "project": "",
        "github": "",
        "arxiv": "1711.05769v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "PairedCycleGAN: Asymmetric Style Transfer for Applying and Removing Makeup",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Chang_PairedCycleGAN_Asymmetric_Style_CVPR_2018_paper.html",
        "author": "Huiwen Chang, Jingwan Lu, Fisher Yu, Adam Finkelstein",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Chang_PairedCycleGAN_Asymmetric_Style_CVPR_2018_paper.pdf",
        "aff": "Princeton University; UC Berkeley; Adobe Research",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Parallel Attention: A Unified Framework for Visual Object Discovery Through Dialogs and Queries",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Zhuang_Parallel_Attention_A_CVPR_2018_paper.html",
        "author": "Bohan Zhuang, Qi Wu, Chunhua Shen, Ian Reid, Anton van den Hengel",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Zhuang_Parallel_Attention_A_CVPR_2018_paper.pdf",
        "aff": "University of Adelaide, Australia; Australian Centre for Robotic Vision",
        "project": "",
        "github": "",
        "arxiv": "1711.06370v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Partial Transfer Learning With Selective Adversarial Networks",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Cao_Partial_Transfer_Learning_CVPR_2018_paper.html",
        "author": "Zhangjie Cao, Mingsheng Long, Jianmin Wang, Michael I. Jordan",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Cao_Partial_Transfer_Learning_CVPR_2018_paper.pdf",
        "aff": "University of California, Berkeley, Berkeley, CA, USA; KLiss, MOE; School of Software, Tsinghua University, China",
        "project": "",
        "github": "",
        "arxiv": "1707.07901v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Partially Shared Multi-Task Convolutional Neural Network With Local Constraint for Face Attribute Learning",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Cao_Partially_Shared_Multi-Task_CVPR_2018_paper.html",
        "author": "Jiajiong Cao, Yingming Li, Zhongfei Zhang",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Cao_Partially_Shared_Multi-Task_CVPR_2018_paper.pdf",
        "aff": "College of Information Science & Electronic Engineering, Zhejiang University, China",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Path Aggregation Network for Instance Segmentation",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Liu_Path_Aggregation_Network_CVPR_2018_paper.html",
        "author": "Shu Liu, Lu Qi, Haifang Qin, Jianping Shi, Jiaya Jia",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Liu_Path_Aggregation_Network_CVPR_2018_paper.pdf",
        "aff": "Peking University; The Chinese University of Hong Kong; SenseTime Research",
        "project": "",
        "github": "",
        "arxiv": "1803.01534v4",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "People, Penguins and Petri Dishes: Adapting Object Counting Models to New Visual Domains and Object Types Without Forgetting",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Marsden_People_Penguins_and_CVPR_2018_paper.html",
        "author": "Mark Marsden, Kevin McGuinness, Suzanne Little, Ciara E. Keogh, Noel E. O'Connor",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Marsden_People_Penguins_and_CVPR_2018_paper.pdf",
        "aff": "Insight Centre for Data Analytics, Dublin City University, Ireland; Conway Institute, School of Medicine, University College Dublin, Ireland",
        "project": "",
        "github": "",
        "arxiv": "1711.05586v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Person Re-Identification With Cascaded Pairwise Convolutions",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Wang_Person_Re-Identification_With_CVPR_2018_paper.html",
        "author": "Yicheng Wang, Zhenzhong Chen, Feng Wu, Gang Wang",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Wang_Person_Re-Identification_With_CVPR_2018_paper.pdf",
        "aff": "Alibaba Group, China; School of Information Science and Technology, University of Science and Technology of China, China; School of Remote Sensing and Information Engineering, Wuhan University, China",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Person Transfer GAN to Bridge Domain Gap for Person Re-Identification",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Wei_Person_Transfer_GAN_CVPR_2018_paper.html",
        "author": "Longhui Wei, Shiliang Zhang, Wen Gao, Qi Tian",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Wei_Person_Transfer_GAN_CVPR_2018_paper.pdf",
        "aff": "School of Electronics Engineering and Computer Science, Peking University, Beijing 100871, China; Department of Computer Science, University of Texas at San Antonio, San Antonio, TX 78249-1604, USA",
        "project": "http://www.pkuvmc.com",
        "github": "",
        "arxiv": "1711.08565v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Perturbative Neural Networks",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Juefei-Xu_Perturbative_Neural_Networks_CVPR_2018_paper.html",
        "author": "Felix Juefei-Xu, Vishnu Naresh Boddeti, Marios Savvides",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Juefei-Xu_Perturbative_Neural_Networks_CVPR_2018_paper.pdf",
        "aff": "Michigan State University; Carnegie Mellon University",
        "project": "http://xujuefei.com/pnn",
        "github": "",
        "arxiv": "arXiv:1806.01817",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "PhaseNet for Video Frame Interpolation",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Meyer_PhaseNet_for_Video_CVPR_2018_paper.html",
        "author": "Simone Meyer, Abdelaziz Djelouah, Brian McWilliams, Alexander Sorkine-Hornung, Markus Gross, Christopher Schroers",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Meyer_PhaseNet_for_Video_CVPR_2018_paper.pdf",
        "aff": "Disney Research; Department of Computer Science, ETH Zurich / Disney Research",
        "project": "",
        "github": "",
        "arxiv": "1804.00884v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Photographic Text-to-Image Synthesis With a Hierarchically-Nested Adversarial Network",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Zhang_Photographic_Text-to-Image_Synthesis_CVPR_2018_paper.html",
        "author": "Zizhao Zhang, Yuanpu Xie, Lin Yang",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Zhang_Photographic_Text-to-Image_Synthesis_CVPR_2018_paper.pdf",
        "aff": "University of Florida",
        "project": "",
        "github": "",
        "arxiv": "1802.09178v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Photometric Stereo in Participating Media Considering Shape-Dependent Forward Scatter",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Fujimura_Photometric_Stereo_in_CVPR_2018_paper.html",
        "author": "Yuki Fujimura, Masaaki Iiyama, Atsushi Hashimoto, Michihiko Minoh",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Fujimura_Photometric_Stereo_in_CVPR_2018_paper.pdf",
        "aff": "Kyoto University, Japan and OMRON SINIC X Corp., Japan; Kyoto University, Japan",
        "project": "",
        "github": "",
        "arxiv": "1804.02836v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "PiCANet: Learning Pixel-Wise Contextual Attention for Saliency Detection",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Liu_PiCANet_Learning_Pixel-Wise_CVPR_2018_paper.html",
        "author": "Nian Liu, Junwei Han, Ming-Hsuan Yang",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Liu_PiCANet_Learning_Pixel-Wise_CVPR_2018_paper.pdf",
        "aff": "University of California, Merced and Google Cloud; Northwestern Polytechincal University",
        "project": "",
        "github": "",
        "arxiv": "1708.06433v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "PieAPP: Perceptual Image-Error Assessment Through Pairwise Preference",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Prashnani_PieAPP_Perceptual_Image-Error_CVPR_2018_paper.html",
        "author": "Ekta Prashnani, Hong Cai, Yasamin Mostofi, Pradeep Sen",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Prashnani_PieAPP_Perceptual_Image-Error_CVPR_2018_paper.pdf",
        "aff": "University of California, Santa Barbara",
        "project": "",
        "github": "",
        "arxiv": "1806.02067v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Pix3D: Dataset and Methods for Single-Image 3D Shape Modeling",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Sun_Pix3D_Dataset_and_CVPR_2018_paper.html",
        "author": "Xingyuan Sun, Jiajun Wu, Xiuming Zhang, Zhoutong Zhang, Chengkai Zhang, Tianfan Xue, Joshua B. Tenenbaum, William T. Freeman",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Sun_Pix3D_Dataset_and_CVPR_2018_paper.pdf",
        "aff": "Massachusetts Institute of Technology; Massachusetts Institute of Technology, Shanghai Jiao Tong University; Massachusetts Institute of Technology, Google Research",
        "project": "",
        "github": "",
        "arxiv": "1804.04610v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Pixels, Voxels, and Views: A Study of Shape Representations for Single View 3D Object Shape Prediction",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Shin_Pixels_Voxels_and_CVPR_2018_paper.html",
        "author": "Daeyun Shin, Charless C. Fowlkes, Derek Hoiem",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Shin_Pixels_Voxels_and_CVPR_2018_paper.pdf",
        "aff": "University of California, Irvine; University of Illinois, Urbana-Champaign",
        "project": "http://www.ics.uci.edu/~daeyuns/pixels-voxels-views",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Planar Shape Detection at Structural Scales",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Fang_Planar_Shape_Detection_CVPR_2018_paper.html",
        "author": "Hao Fang, Florent Lafarge, Mathieu Desbrun",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Fang_Planar_Shape_Detection_CVPR_2018_paper.pdf",
        "aff": "Inria \u2013 Universit\u00e9 C\u00f4te d\u2019Azur; Caltech",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "PlaneNet: Piece-Wise Planar Reconstruction From a Single RGB Image",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Liu_PlaneNet_Piece-Wise_Planar_CVPR_2018_paper.html",
        "author": "Chen Liu, Jimei Yang, Duygu Ceylan, Ersin Yumer, Yasutaka Furukawa",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Liu_PlaneNet_Piece-Wise_Planar_CVPR_2018_paper.pdf",
        "aff": "Washington University in St. Louis; Argo AI; Adobe Research; Simon Fraser University",
        "project": "",
        "github": "https://github.com/art-programmer/PlaneNet",
        "arxiv": "1804.06278v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "PoTion: Pose MoTion Representation for Action Recognition",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Choutas_PoTion_Pose_MoTion_CVPR_2018_paper.html",
        "author": "Vasileios Choutas, Philippe Weinzaepfel, J\u00e9r\u00f4me Revaud, Cordelia Schmid",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Choutas_PoTion_Pose_MoTion_CVPR_2018_paper.pdf",
        "aff": "1Inria\u2217 2NAVER LABS Europe; 2NAVER LABS Europe; 1Inria\u2217",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "PointFusion: Deep Sensor Fusion for 3D Bounding Box Estimation",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Xu_PointFusion_Deep_Sensor_CVPR_2018_paper.html",
        "author": "Danfei Xu, Dragomir Anguelov, Ashesh Jain",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Xu_PointFusion_Deep_Sensor_CVPR_2018_paper.pdf",
        "aff": "Stanford University; Zoox Inc.",
        "project": "",
        "github": "",
        "arxiv": "1711.10871v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "PointGrid: A Deep Network for 3D Shape Understanding",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Le_PointGrid_A_Deep_CVPR_2018_paper.html",
        "author": "Truc Le, Ye Duan",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Le_PointGrid_A_Deep_CVPR_2018_paper.pdf",
        "aff": "University of Missouri \u2013 Columbia",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "PointNetVLAD: Deep Point Cloud Based Retrieval for Large-Scale Place Recognition",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Uy_PointNetVLAD_Deep_Point_CVPR_2018_paper.html",
        "author": "Mikaela Angelina Uy, Gim Hee Lee",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Uy_PointNetVLAD_Deep_Point_CVPR_2018_paper.pdf",
        "aff": "Department of Computer Science, National University of Singapore",
        "project": "",
        "github": "https://github.com/mikacuy/pointnetvlad.git",
        "arxiv": "arXiv:1804.03492",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Pointwise Convolutional Neural Networks",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Hua_Pointwise_Convolutional_Neural_CVPR_2018_paper.html",
        "author": "Binh-Son Hua, Minh-Khoi Tran, Sai-Kit Yeung",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Hua_Pointwise_Convolutional_Neural_CVPR_2018_paper.pdf",
        "aff": "The University of Tokyo; Singapore University of Technology and Design",
        "project": "",
        "github": "",
        "arxiv": "1712.05245v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Polarimetric Dense Monocular SLAM",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Yang_Polarimetric_Dense_Monocular_CVPR_2018_paper.html",
        "author": "Luwei Yang, Feitong Tan, Ao Li, Zhaopeng Cui, Yasutaka Furukawa, Ping Tan",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Yang_Polarimetric_Dense_Monocular_CVPR_2018_paper.pdf",
        "aff": "Simon Fraser University ETH Zurich; Simon Fraser University",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Pose Transferrable Person Re-Identification",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Liu_Pose_Transferrable_Person_CVPR_2018_paper.html",
        "author": "Jinxian Liu, Bingbing Ni, Yichao Yan, Peng Zhou, Shuo Cheng, Jianguo Hu",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Liu_Pose_Transferrable_Person_CVPR_2018_paper.pdf",
        "aff": "Shanghai Key Laboratory of Digital Media Processing and Transmission, Shanghai Institute for Advanced Communication and Data Science, Shanghai Jiao Tong University, Shanghai 200240, China; Minivision",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Pose-Guided Photorealistic Face Rotation",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Hu_Pose-Guided_Photorealistic_Face_CVPR_2018_paper.html",
        "author": "Yibo Hu, Xiang Wu, Bing Yu, Ran He, Zhenan Sun",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Hu_Pose-Guided_Photorealistic_Face_CVPR_2018_paper.pdf",
        "aff": "CRIPAC & NLPR & CEBSIT, CASIA; Noah\u2019s Ark Laboratory, Huawei Technologies Co., Ltd.; CRIPAC & NLPR & CEBSIT, CASIA and University of Chinese Academy of Sciences",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Pose-Robust Face Recognition via Deep Residual Equivariant Mapping",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Cao_Pose-Robust_Face_Recognition_CVPR_2018_paper.html",
        "author": "Kaidi Cao, Yu Rong, Cheng Li, Xiaoou Tang, Chen Change Loy",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Cao_Pose-Robust_Face_Recognition_CVPR_2018_paper.pdf",
        "aff": "CUHK - SenseTime Joint Lab, The Chinese University of Hong Kong; SenseTime Research",
        "project": "",
        "github": "http://mmlab.ie.cuhk.edu.hk/projects/DREAM/",
        "arxiv": "1803.00839v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "PoseFlow: A Deep Motion Representation for Understanding Human Behaviors in Videos",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Zhang_PoseFlow_A_Deep_CVPR_2018_paper.html",
        "author": "Dingwen Zhang, Guangyu Guo, Dong Huang, Junwei Han",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Zhang_PoseFlow_A_Deep_CVPR_2018_paper.pdf",
        "aff": "Carnegie Mellon University; Northwestern Polytechincal University",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "PoseTrack: A Benchmark for Human Pose Estimation and Tracking",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Andriluka_PoseTrack_A_Benchmark_CVPR_2018_paper.html",
        "author": "Mykhaylo Andriluka, Umar Iqbal, Eldar Insafutdinov, Leonid Pishchulin, Anton Milan, Juergen Gall, Bernt Schiele",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Andriluka_PoseTrack_A_Benchmark_CVPR_2018_paper.pdf",
        "aff": "Computer Vision Group, University of Bonn, Germany; Amazon Research; MPI for Informatics, Saarbr\u00fccken, Germany; Google Research",
        "project": "https://posetrack.net/",
        "github": "",
        "arxiv": "1710.10000v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Practical Block-Wise Neural Network Architecture Generation",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Zhong_Practical_Block-Wise_Neural_CVPR_2018_paper.html",
        "author": "Zhao Zhong, Junjie Yan, Wei Wu, Jing Shao, Cheng-Lin Liu",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Zhong_Practical_Block-Wise_Neural_CVPR_2018_paper.pdf",
        "aff": "National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences; University of Chinese Academy of Sciences; CAS Center for Excellence of Brain Science and Intelligence Technology; SenseTime Research Institute; National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences; University of Chinese Academy of Sciences; SenseTime Research Institute",
        "project": "",
        "github": "",
        "arxiv": "1708.05552v3",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Preserving Semantic Relations for Zero-Shot Learning",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Annadani_Preserving_Semantic_Relations_CVPR_2018_paper.html",
        "author": "Yashas Annadani, Soma Biswas",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Annadani_Preserving_Semantic_Relations_CVPR_2018_paper.pdf",
        "aff": "Indian Institute of Science; National Institute of Technology - Karnataka",
        "project": "",
        "github": "",
        "arxiv": "1803.03049v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Probabilistic Joint Face-Skull Modelling for Facial Reconstruction",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Madsen_Probabilistic_Joint_Face-Skull_CVPR_2018_paper.html",
        "author": "Dennis Madsen, Marcel L\u00fcthi, Andreas Schneider, Thomas Vetter",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Madsen_Probabilistic_Joint_Face-Skull_CVPR_2018_paper.pdf",
        "aff": "Department of Mathematics and Computer Science, University of Basel",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Probabilistic Plant Modeling via Multi-View Image-to-Image Translation",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Isokane_Probabilistic_Plant_Modeling_CVPR_2018_paper.html",
        "author": "Takahiro Isokane, Fumio Okura, Ayaka Ide, Yasuyuki Matsushita, Yasushi Yagi",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Isokane_Probabilistic_Plant_Modeling_CVPR_2018_paper.pdf",
        "aff": "Osaka University, JST PRESTO; Osaka University",
        "project": "",
        "github": "",
        "arxiv": "1804.09404v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Progressive Attention Guided Recurrent Network for Salient Object Detection",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Zhang_Progressive_Attention_Guided_CVPR_2018_paper.html",
        "author": "Xiaoning Zhang, Tiantian Wang, Jinqing Qi, Huchuan Lu, Gang Wang",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Zhang_Progressive_Attention_Guided_CVPR_2018_paper.pdf",
        "aff": "Alibaba AILabs, China; Dalian University of Technology, China",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Progressively Complementarity-Aware Fusion Network for RGB-D Salient Object Detection",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Chen_Progressively_Complementarity-Aware_Fusion_CVPR_2018_paper.html",
        "author": "Hao Chen, Youfu Li",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Chen_Progressively_Complementarity-Aware_Fusion_CVPR_2018_paper.pdf",
        "aff": "City University of Hong Kong, Kowloon, Hong Kong.",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Pseudo Mask Augmented Object Detection",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Zhao_Pseudo_Mask_Augmented_CVPR_2018_paper.html",
        "author": "Xiangyun Zhao, Shuang Liang, Yichen Wei",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Zhao_Pseudo_Mask_Augmented_CVPR_2018_paper.pdf",
        "aff": "Northwestern University; Tongji University; Microsoft Research",
        "project": "",
        "github": "",
        "arxiv": "1803.05858v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Pulling Actions out of Context: Explicit Separation for Effective Combination",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Wang_Pulling_Actions_out_CVPR_2018_paper.html",
        "author": "Yang Wang, Minh Hoai",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Wang_Pulling_Actions_out_CVPR_2018_paper.pdf",
        "aff": "Stony Brook University, Stony Brook, NY 11794, USA",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Pyramid Stereo Matching Network",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Chang_Pyramid_Stereo_Matching_CVPR_2018_paper.html",
        "author": "Jia-Ren Chang, Yong-Sheng Chen",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Chang_Pyramid_Stereo_Matching_CVPR_2018_paper.pdf",
        "aff": "Department of Computer Science, National Chiao Tung University, Taiwan",
        "project": "",
        "github": "https://github.com/JiaRenChang/PSMNet",
        "arxiv": "1803.08669v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Jacob_Quantization_and_Training_CVPR_2018_paper.html",
        "author": "Benoit Jacob, Skirmantas Kligys, Bo Chen, Menglong Zhu, Matthew Tang, Andrew Howard, Hartwig Adam, Dmitry Kalenichenko",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Jacob_Quantization_and_Training_CVPR_2018_paper.pdf",
        "aff": "Google Inc.",
        "project": "",
        "github": "",
        "arxiv": "1712.05877v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Quantization of Fully Convolutional Networks for Accurate Biomedical Image Segmentation",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Xu_Quantization_of_Fully_CVPR_2018_paper.html",
        "author": "Xiaowei Xu, Qing Lu, Lin Yang, Sharon Hu, Danny Chen, Yu Hu, Yiyu Shi",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Xu_Quantization_of_Fully_CVPR_2018_paper.pdf",
        "aff": "University of Notre Dame; Huazhong University of Science and Technology",
        "project": "",
        "github": "",
        "arxiv": "1803.04907v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "R-FCN-3000 at 30fps: Decoupling Detection and Classification",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Singh_R-FCN-3000_at_30fps_CVPR_2018_paper.html",
        "author": "Bharat Singh, Hengduo Li, Abhishek Sharma, Larry S. Davis",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Singh_R-FCN-3000_at_30fps_CVPR_2018_paper.pdf",
        "aff": "University of Maryland, College Park; Gobasco AI Labs; Fudan University",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1712.01802",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "ROAD: Reality Oriented Adaptation for Semantic Segmentation of Urban Scenes",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Chen_ROAD_Reality_Oriented_CVPR_2018_paper.html",
        "author": "Yuhua Chen, Wen Li, Luc Van Gool",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Chen_ROAD_Reality_Oriented_CVPR_2018_paper.pdf",
        "aff": "Computer Vision Laboratory, ETH Zurich and VISICS, ESAT/PSI, KU Leuven; Computer Vision Laboratory, ETH Zurich",
        "project": "",
        "github": "",
        "arxiv": "1711.11556v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Radially-Distorted Conjugate Translations",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Pritts_Radially-Distorted_Conjugate_Translations_CVPR_2018_paper.html",
        "author": "James Pritts, Zuzana Kukelova, Viktor Larsson, Ond\u0159ej Chum",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Pritts_Radially-Distorted_Conjugate_Translations_CVPR_2018_paper.pdf",
        "aff": "Visual Recognition Group, CTU in Prague; Centre for Mathematical Sciences, Lund University",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1711.11339",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "RayNet: Learning Volumetric 3D Reconstruction With Ray Potentials",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Paschalidou_RayNet_Learning_Volumetric_CVPR_2018_paper.html",
        "author": "Despoina Paschalidou, Osman Ulusoy, Carolin Schmitt, Luc Van Gool, Andreas Geiger",
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        "project": "",
        "github": "",
        "arxiv": "1901.01535v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Re-Weighted Adversarial Adaptation Network for Unsupervised Domain Adaptation",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Chen_Re-Weighted_Adversarial_Adaptation_CVPR_2018_paper.html",
        "author": "Qingchao Chen, Yang Liu, Zhaowen Wang, Ian Wassell, Kevin Chetty",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Chen_Re-Weighted_Adversarial_Adaptation_CVPR_2018_paper.pdf",
        "aff": "Adobe Research; University of Cambridge; University College London",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Real-Time Monocular Depth Estimation Using Synthetic Data With Domain Adaptation via Image Style Transfer",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Atapour-Abarghouei_Real-Time_Monocular_Depth_CVPR_2018_paper.html",
        "author": "Amir Atapour-Abarghouei, Toby P. Breckon",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Atapour-Abarghouei_Real-Time_Monocular_Depth_CVPR_2018_paper.pdf",
        "aff": "Department of Engineering, Durham University, UK; Department of Computer Science, Durham University, UK",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Real-Time Rotation-Invariant Face Detection With Progressive Calibration Networks",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Shi_Real-Time_Rotation-Invariant_Face_CVPR_2018_paper.html",
        "author": "Xuepeng Shi, Shiguang Shan, Meina Kan, Shuzhe Wu, Xilin Chen",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Shi_Real-Time_Rotation-Invariant_Face_CVPR_2018_paper.pdf",
        "aff": "Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing 100190, China; CAS Center for Excellence in Brain Science and Intelligence Technology; Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing 100190, China; Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing 100190, China; University of Chinese Academy of Sciences, Beijing 100049, China",
        "project": "",
        "github": "",
        "arxiv": "1804.06039v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Real-Time Seamless Single Shot 6D Object Pose Prediction",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Tekin_Real-Time_Seamless_Single_CVPR_2018_paper.html",
        "author": "Bugra Tekin, Sudipta N. Sinha, Pascal Fua",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Tekin_Real-Time_Seamless_Single_CVPR_2018_paper.pdf",
        "aff": "Microsoft Research; EPFL",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1711.08848",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Real-World Anomaly Detection in Surveillance Videos",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Sultani_Real-World_Anomaly_Detection_CVPR_2018_paper.html",
        "author": "Waqas Sultani, Chen Chen, Mubarak Shah",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Sultani_Real-World_Anomaly_Detection_CVPR_2018_paper.pdf",
        "aff": "Center for Research in Computer Vision, University of Central Florida, Orlando, FL, USA; Department of Computer Science, Information Technology University, Pakistan",
        "project": "http://crcv.ucf.edu/projects/real-world/",
        "github": "",
        "arxiv": "1801.04264v3",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Real-World Repetition Estimation by Div, Grad and Curl",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Runia_Real-World_Repetition_Estimation_CVPR_2018_paper.html",
        "author": "Tom F. H. Runia, Cees G. M. Snoek, Arnold W. M. Smeulders",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Runia_Real-World_Repetition_Estimation_CVPR_2018_paper.pdf",
        "aff": "QUVA Deep Vision Lab, University of Amsterdam",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Recognize Actions by Disentangling Components of Dynamics",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Zhao_Recognize_Actions_by_CVPR_2018_paper.html",
        "author": "Yue Zhao, Yuanjun Xiong, Dahua Lin",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Zhao_Recognize_Actions_by_CVPR_2018_paper.pdf",
        "aff": "1CUHK - SenseTime Joint Lab, The Chinese University of Hong Kong2Amazon Rekognition; CUHK - SenseTime Joint Lab, The Chinese University of Hong Kong",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Recognizing Human Actions as the Evolution of Pose Estimation Maps",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Liu_Recognizing_Human_Actions_CVPR_2018_paper.html",
        "author": "Mengyuan Liu, Junsong Yuan",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Liu_Recognizing_Human_Actions_CVPR_2018_paper.pdf",
        "aff": "Department of CSE, SUNY at Buffalo, Buffalo NY 14260; School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Reconstructing Thin Structures of Manifold Surfaces by Integrating Spatial Curves",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Li_Reconstructing_Thin_Structures_CVPR_2018_paper.html",
        "author": "Shiwei Li, Yao Yao, Tian Fang, Long Quan",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Li_Reconstructing_Thin_Structures_CVPR_2018_paper.pdf",
        "aff": "Altizure.com; The Hong Kong University of Science and Technology",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Reconstruction Network for Video Captioning",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Wang_Reconstruction_Network_for_CVPR_2018_paper.html",
        "author": "Bairui Wang, Lin Ma, Wei Zhang, Wei Liu",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Wang_Reconstruction_Network_for_CVPR_2018_paper.pdf",
        "aff": "Tencent AI Lab; School of Control Science and Engineering, Shandong University",
        "project": "",
        "github": "",
        "arxiv": "1803.11438v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Recovering Realistic Texture in Image Super-Resolution by Deep Spatial Feature Transform",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Wang_Recovering_Realistic_Texture_CVPR_2018_paper.html",
        "author": "Xintao Wang, Ke Yu, Chao Dong, Chen Change Loy",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Wang_Recovering_Realistic_Texture_CVPR_2018_paper.pdf",
        "aff": "CUHK - SenseTime Joint Lab, The Chinese University of Hong Kong; SenseTime Research",
        "project": "",
        "github": "",
        "arxiv": "1804.02815v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Recurrent Pixel Embedding for Instance Grouping",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Kong_Recurrent_Pixel_Embedding_CVPR_2018_paper.html",
        "author": "Shu Kong, Charless C. Fowlkes",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Kong_Recurrent_Pixel_Embedding_CVPR_2018_paper.pdf",
        "aff": "Dept. of Computer Science, University of California, Irvine",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1712.08273",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Recurrent Residual Module for Fast Inference in Videos",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Pan_Recurrent_Residual_Module_CVPR_2018_paper.html",
        "author": "Bowen Pan, Wuwei Lin, Xiaolin Fang, Chaoqin Huang, Bolei Zhou, Cewu Lu",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Pan_Recurrent_Residual_Module_CVPR_2018_paper.pdf",
        "aff": "Massachusetts Institute of Technology; Zhejiang University; Shanghai Jiao Tong University",
        "project": "",
        "github": "",
        "arxiv": "1802.09723v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Recurrent Saliency Transformation Network: Incorporating Multi-Stage Visual Cues for Small Organ Segmentation",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Yu_Recurrent_Saliency_Transformation_CVPR_2018_paper.html",
        "author": "Qihang Yu, Lingxi Xie, Yan Wang, Yuyin Zhou, Elliot K. Fishman, Alan L. Yuille",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Yu_Recurrent_Saliency_Transformation_CVPR_2018_paper.pdf",
        "aff": "Peking University; The Johns Hopkins Medical Institute; The Johns Hopkins University",
        "project": "",
        "github": "",
        "arxiv": "1709.04518v4",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Recurrent Scene Parsing With Perspective Understanding in the Loop",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Kong_Recurrent_Scene_Parsing_CVPR_2018_paper.html",
        "author": "Shu Kong, Charless C. Fowlkes",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Kong_Recurrent_Scene_Parsing_CVPR_2018_paper.pdf",
        "aff": "Dept. of Computer Science, University of California, Irvine",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1705.07238",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Recurrent Slice Networks for 3D Segmentation of Point Clouds",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Huang_Recurrent_Slice_Networks_CVPR_2018_paper.html",
        "author": "Qiangui Huang, Weiyue Wang, Ulrich Neumann",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Huang_Recurrent_Slice_Networks_CVPR_2018_paper.pdf",
        "aff": "University of Southern California",
        "project": "",
        "github": "https://github.com/qianguih/RSNet",
        "arxiv": "1802.04402v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Referring Image Segmentation via Recurrent Refinement Networks",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Li_Referring_Image_Segmentation_CVPR_2018_paper.html",
        "author": "Ruiyu Li, Kaican Li, Yi-Chun Kuo, Michelle Shu, Xiaojuan Qi, Xiaoyong Shen, Jiaya Jia",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Li_Referring_Image_Segmentation_CVPR_2018_paper.pdf",
        "aff": "The Chinese University of Hong Kong, YouTu Lab, Tencent; The Chinese University of Hong Kong; Johns Hopkins University; YouTu Lab, Tencent",
        "project": "",
        "github": "https://github.com/liruiyu/referseg_rrn",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Referring Relationships",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Krishna_Referring_Relationships_CVPR_2018_paper.html",
        "author": "Ranjay Krishna, Ines Chami, Michael Bernstein, Li Fei-Fei",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Krishna_Referring_Relationships_CVPR_2018_paper.pdf",
        "aff": "Stanford University",
        "project": "",
        "github": "",
        "arxiv": "1803.10362v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Reflection Removal for Large-Scale 3D Point Clouds",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Yun_Reflection_Removal_for_CVPR_2018_paper.html",
        "author": "Jae-Seong Yun, Jae-Young Sim",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Yun_Reflection_Removal_for_CVPR_2018_paper.pdf",
        "aff": "School of Electrical and Computer Engineering, Ulsan National Institute of Science and Technology, Ulsan, Korea",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Regularizing Deep Networks by Modeling and Predicting Label Structure",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Mostajabi_Regularizing_Deep_Networks_CVPR_2018_paper.html",
        "author": "Mohammadreza Mostajabi, Michael Maire, Gregory Shakhnarovich",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Mostajabi_Regularizing_Deep_Networks_CVPR_2018_paper.pdf",
        "aff": "Toyota Technological Institute at Chicago",
        "project": "",
        "github": "",
        "arxiv": "1804.02009v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Regularizing RNNs for Caption Generation by Reconstructing the Past With the Present",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Chen_Regularizing_RNNs_for_CVPR_2018_paper.html",
        "author": "Xinpeng Chen, Lin Ma, Wenhao Jiang, Jian Yao, Wei Liu",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Chen_Regularizing_RNNs_for_CVPR_2018_paper.pdf",
        "aff": "Tencent AI Lab; Wuhan University",
        "project": "",
        "github": "https://github.com/chenxinpeng/ARNet",
        "arxiv": "1803.11439v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Reinforcement Cutting-Agent Learning for Video Object Segmentation",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Han_Reinforcement_Cutting-Agent_Learning_CVPR_2018_paper.html",
        "author": "Junwei Han, Le Yang, Dingwen Zhang, Xiaojun Chang, Xiaodan Liang",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Han_Reinforcement_Cutting-Agent_Learning_CVPR_2018_paper.pdf",
        "aff": "Carnegie Mellon University; Northwestern Polytechincal University, Xidian University; Northwestern Polytechincal University",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Relation Networks for Object Detection",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Hu_Relation_Networks_for_CVPR_2018_paper.html",
        "author": "Han Hu, Jiayuan Gu, Zheng Zhang, Jifeng Dai, Yichen Wei",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Hu_Relation_Networks_for_CVPR_2018_paper.pdf",
        "aff": "Microsoft Research Asia; Department of Machine Intelligence, School of EECS, Peking University",
        "project": "",
        "github": "",
        "arxiv": "1711.11575v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Representing and Learning High Dimensional Data With the Optimal Transport Map From a Probabilistic Viewpoint",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Park_Representing_and_Learning_CVPR_2018_paper.html",
        "author": "Serim Park, Matthew Thorpe",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Park_Representing_and_Learning_CVPR_2018_paper.pdf",
        "aff": "Department of Applied Mathematics and Theoretical Physics, The University of Cambridge, Cambridge, CB3 0WA; Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA, 15213",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Repulsion Loss: Detecting Pedestrians in a Crowd",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Wang_Repulsion_Loss_Detecting_CVPR_2018_paper.html",
        "author": "Xinlong Wang, Tete Xiao, Yuning Jiang, Shuai Shao, Jian Sun, Chunhua Shen",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Wang_Repulsion_Loss_Detecting_CVPR_2018_paper.pdf",
        "aff": "Peking University; The University of Adelaide; Tongji University; Megvii, Inc.",
        "project": "",
        "github": "",
        "arxiv": "1711.07752v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Residual Dense Network for Image Super-Resolution",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Zhang_Residual_Dense_Network_CVPR_2018_paper.html",
        "author": "Yulun Zhang, Yapeng Tian, Yu Kong, Bineng Zhong, Yun Fu",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Zhang_Residual_Dense_Network_CVPR_2018_paper.pdf",
        "aff": "College of Computer and Information Science, Northeastern University, Boston, USA; Department of Electrical and Computer Engineering, Northeastern University, Boston, USA; Department of Computer Science, University of Rochester, Rochester, USA",
        "project": "",
        "github": "",
        "arxiv": "1802.08797v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Residual Parameter Transfer for Deep Domain Adaptation",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Rozantsev_Residual_Parameter_Transfer_CVPR_2018_paper.html",
        "author": "Artem Rozantsev, Mathieu Salzmann, Pascal Fua",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Rozantsev_Residual_Parameter_Transfer_CVPR_2018_paper.pdf",
        "aff": "Computer Vision Laboratory, Ecole Polytechnique Federale de Lausanne, Lausanne, Switzerland",
        "project": "",
        "github": "",
        "arxiv": "1711.07714v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Resource Aware Person Re-Identification Across Multiple Resolutions",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Wang_Resource_Aware_Person_CVPR_2018_paper.html",
        "author": "Yan Wang, Lequn Wang, Yurong You, Xu Zou, Vincent Chen, Serena Li, Gao Huang, Bharath Hariharan, Kilian Q. Weinberger",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Wang_Resource_Aware_Person_CVPR_2018_paper.pdf",
        "aff": "Tsinghua University; Cornell University; Shanghai Jiao Tong University",
        "project": "",
        "github": "",
        "arxiv": "1805.08805v3",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Rethinking Feature Distribution for Loss Functions in Image Classification",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Wan_Rethinking_Feature_Distribution_CVPR_2018_paper.html",
        "author": "Weitao Wan, Yuanyi Zhong, Tianpeng Li, Jiansheng Chen",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Wan_Rethinking_Feature_Distribution_CVPR_2018_paper.pdf",
        "aff": "Department of Electronic Engineering, Tsinghua University, Beijing, China; Department of Computer Science, University of Illinois at Urbana-Champaign, Illinois, USA",
        "project": "",
        "github": "",
        "arxiv": "1803.02988v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Rethinking the Faster R-CNN Architecture for Temporal Action Localization",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Chao_Rethinking_the_Faster_CVPR_2018_paper.html",
        "author": "Yu-Wei Chao, Sudheendra Vijayanarasimhan, Bryan Seybold, David A. Ross, Jia Deng, Rahul Sukthankar",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Chao_Rethinking_the_Faster_CVPR_2018_paper.pdf",
        "aff": "University of Michigan, Ann Arbor; Google Research",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1804.07667",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Revisiting Deep Intrinsic Image Decompositions",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Fan_Revisiting_Deep_Intrinsic_CVPR_2018_paper.html",
        "author": "Qingnan Fan, Jiaolong Yang, Gang Hua, Baoquan Chen, David Wipf",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Fan_Revisiting_Deep_Intrinsic_CVPR_2018_paper.pdf",
        "aff": "Shenzhen Research Institute, Shandong University; Microsoft Research; Shandong University",
        "project": "",
        "github": "",
        "arxiv": "1701.02965v8",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Revisiting Dilated Convolution: A Simple Approach for Weakly- and Semi-Supervised Semantic Segmentation",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Wei_Revisiting_Dilated_Convolution_CVPR_2018_paper.html",
        "author": "Yunchao Wei, Huaxin Xiao, Honghui Shi, Zequn Jie, Jiashi Feng, Thomas S. Huang",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Wei_Revisiting_Dilated_Convolution_CVPR_2018_paper.pdf",
        "aff": "Tencent AI Lab; NUS; UIUC; IBM Thomas J. Watson Research Center",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1805.04574",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Revisiting Knowledge Transfer for Training Object Class Detectors",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Uijlings_Revisiting_Knowledge_Transfer_CVPR_2018_paper.html",
        "author": "Jasper Uijlings, Stefan Popov, Vittorio Ferrari",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Uijlings_Revisiting_Knowledge_Transfer_CVPR_2018_paper.pdf",
        "aff": "Google AI Perception",
        "project": "",
        "github": "",
        "arxiv": "1708.06128v3",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Revisiting Oxford and Paris: Large-Scale Image Retrieval Benchmarking",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Radenovic_Revisiting_Oxford_and_CVPR_2018_paper.html",
        "author": "Filip Radenovi\u0107, Ahmet Iscen, Giorgos Tolias, Yannis Avrithis, Ond\u0159ej Chum",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Radenovic_Revisiting_Oxford_and_CVPR_2018_paper.pdf",
        "aff": "VRG, FEE, CTU in Prague; Inria Rennes",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1803.11285",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Revisiting Salient Object Detection: Simultaneous Detection, Ranking, and Subitizing of Multiple Salient Objects",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Islam_Revisiting_Salient_Object_CVPR_2018_paper.html",
        "author": "Md Amirul Islam, Mahmoud Kalash, Neil D. B. Bruce",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Islam_Revisiting_Salient_Object_CVPR_2018_paper.pdf",
        "aff": "University of Manitoba; Ryerson University",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Revisiting Video Saliency: A Large-Scale Benchmark and a New Model",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Wang_Revisiting_Video_Saliency_CVPR_2018_paper.html",
        "author": "Wenguan Wang, Jianbing Shen, Fang Guo, Ming-Ming Cheng, Ali Borji",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Wang_Revisiting_Video_Saliency_CVPR_2018_paper.pdf",
        "aff": "CCCE, Nankai University, China; Beijing Lab of Intelligent Information Technology, School of Computer Science, Beijing Institute of Technology, China; Department of Computer Science, University of Central Florida, USA",
        "project": "",
        "github": "https://github.com/wenguanwang/DHF1K",
        "arxiv": "1801.07424v3",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Reward Learning From Narrated Demonstrations",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Tung_Reward_Learning_From_CVPR_2018_paper.html",
        "author": "Hsiao-Yu Tung, Adam W. Harley, Liang-Kang Huang, Katerina Fragkiadaki",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Tung_Reward_Learning_From_CVPR_2018_paper.pdf",
        "aff": "; Carnegie Mellon University",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1804.10692",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Ring Loss: Convex Feature Normalization for Face Recognition",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Zheng_Ring_Loss_Convex_CVPR_2018_paper.html",
        "author": "Yutong Zheng, Dipan K. Pal, Marios Savvides",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Zheng_Ring_Loss_Convex_CVPR_2018_paper.pdf",
        "aff": "Department of Electrical and Computer Engineering, Carnegie Mellon University",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1803.00130",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "RoadTracer: Automatic Extraction of Road Networks From Aerial Images",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Bastani_RoadTracer_Automatic_Extraction_CVPR_2018_paper.html",
        "author": "Favyen Bastani, Songtao He, Sofiane Abbar, Mohammad Alizadeh, Hari Balakrishnan, Sanjay Chawla, Sam Madden, David DeWitt",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Bastani_RoadTracer_Automatic_Extraction_CVPR_2018_paper.pdf",
        "aff": "Qatar Computing Research Institute, HBKU; MIT CSAIL",
        "project": "",
        "github": "",
        "arxiv": "1802.03680v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Robust Classification With Convolutional Prototype Learning",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Yang_Robust_Classification_With_CVPR_2018_paper.html",
        "author": "Hong-Ming Yang, Xu-Yao Zhang, Fei Yin, Cheng-Lin Liu",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Yang_Robust_Classification_With_CVPR_2018_paper.pdf",
        "aff": "NLPR, Institute of Automation, Chinese Academy of Sciences, Beijing, P.R. China; University of Chinese Academy of Sciences, Beijing, P.R. China; NLPR, Institute of Automation, Chinese Academy of Sciences, Beijing, P.R. China; University of Chinese Academy of Sciences, Beijing, P.R. China; CAS Center for Excellence of Brain Science and Intelligence Technology, Beijing, P.R. China",
        "project": "",
        "github": "",
        "arxiv": "1805.03438v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Robust Depth Estimation From Auto Bracketed Images",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Im_Robust_Depth_Estimation_CVPR_2018_paper.html",
        "author": "Sunghoon Im, Hae-Gon Jeon, In So Kweon",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Im_Robust_Depth_Estimation_CVPR_2018_paper.pdf",
        "aff": "Korea Advanced Institute of Science and Technology (KAIST), Republic of Korea",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1803.07702",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Robust Facial Landmark Detection via a Fully-Convolutional Local-Global Context Network",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Merget_Robust_Facial_Landmark_CVPR_2018_paper.html",
        "author": "Daniel Merget, Matthias Rock, Gerhard Rigoll",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Merget_Robust_Facial_Landmark_CVPR_2018_paper.pdf",
        "aff": "Technical University of Munich",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Robust Hough Transform Based 3D Reconstruction From Circular Light Fields",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Vianello_Robust_Hough_Transform_CVPR_2018_paper.html",
        "author": "Alessandro Vianello, Jens Ackermann, Maximilian Diebold, Bernd J\u00e4hne",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Vianello_Robust_Hough_Transform_CVPR_2018_paper.pdf",
        "aff": "Robert Bosch GmbH, Robert Bosch Campus 1, Renningen, Germany; Heidelberg Collaboratory for Image Processing, Berliner Str. 43, Heidelberg, Germany",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Robust Physical-World Attacks on Deep Learning Visual Classification",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Eykholt_Robust_Physical-World_Attacks_CVPR_2018_paper.html",
        "author": "Kevin Eykholt, Ivan Evtimov, Earlence Fernandes, Bo Li, Amir Rahmati, Chaowei Xiao, Atul Prakash, Tadayoshi Kohno, Dawn Song",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Eykholt_Robust_Physical-World_Attacks_CVPR_2018_paper.pdf",
        "aff": "University of Michigan, Ann Arbor; University of Washington; University of California, Berkeley; Samsung Research America and Stony Brook University",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Robust Video Content Alignment and Compensation for Rain Removal in a CNN Framework",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Chen_Robust_Video_Content_CVPR_2018_paper.html",
        "author": "Jie Chen, Cheen-Hau Tan, Junhui Hou, Lap-Pui Chau, He Li",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Chen_Robust_Video_Content_CVPR_2018_paper.pdf",
        "aff": "Department of Computer Science, City University of Hong Kong; School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore; Singapore Technologies Dynamics Pte Ltd",
        "project": "",
        "github": "",
        "arxiv": "1803.10433v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Rolling Shutter and Radial Distortion Are Features for High Frame Rate Multi-Camera Tracking",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Bapat_Rolling_Shutter_and_CVPR_2018_paper.html",
        "author": "Akash Bapat, True Price, Jan-Michael Frahm",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Bapat_Rolling_Shutter_and_CVPR_2018_paper.pdf",
        "aff": "Department of Computer Science, The University of North Carolina at Chapel Hill",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Rotation Averaging and Strong Duality",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Eriksson_Rotation_Averaging_and_CVPR_2018_paper.html",
        "author": "Anders Eriksson, Carl Olsson, Fredrik Kahl, Tat-Jun Chin",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Eriksson_Rotation_Averaging_and_CVPR_2018_paper.pdf",
        "aff": "Department of Electrical Engineering, Chalmers University of Technology; School of Computer Science, The University of Adelaide; Centre for Mathematical Sciences, Lund University; School of Electrical Engineering and Computer Science, Queensland University of Technology",
        "project": "",
        "github": "",
        "arxiv": "1705.01362v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Rotation-Sensitive Regression for Oriented Scene Text Detection",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Liao_Rotation-Sensitive_Regression_for_CVPR_2018_paper.html",
        "author": "Minghui Liao, Zhen Zhu, Baoguang Shi, Gui-song Xia, Xiang Bai",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Liao_Rotation-Sensitive_Regression_for_CVPR_2018_paper.pdf",
        "aff": "Wuhan University; Huazhong University of Science and Technology",
        "project": "",
        "github": "",
        "arxiv": "1803.05265v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "RotationNet: Joint Object Categorization and Pose Estimation Using Multiviews From Unsupervised Viewpoints",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Kanezaki_RotationNet_Joint_Object_CVPR_2018_paper.html",
        "author": "Asako Kanezaki, Yasuyuki Matsushita, Yoshifumi Nishida",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Kanezaki_RotationNet_Joint_Object_CVPR_2018_paper.pdf",
        "aff": "Graduate School of Information Science and Technology, Osaka University; National Institute of Advanced Industrial Science and Technology (AIST)",
        "project": "",
        "github": "",
        "arxiv": "1603.06208v4",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "SBNet: Sparse Blocks Network for Fast Inference",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Ren_SBNet_Sparse_Blocks_CVPR_2018_paper.html",
        "author": "Mengye Ren, Andrei Pokrovsky, Bin Yang, Raquel Urtasun",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Ren_SBNet_Sparse_Blocks_CVPR_2018_paper.pdf",
        "aff": "Uber Advanced Technologies Group, University of Toronto; Uber Advanced Technologies Group",
        "project": "",
        "github": "https://github.com/uber/sbnet",
        "arxiv": "1801.02108v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "SGAN: An Alternative Training of Generative Adversarial Networks",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Chavdarova_SGAN_An_Alternative_CVPR_2018_paper.html",
        "author": "Tatjana Chavdarova, Fran\u00e7ois Fleuret",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Chavdarova_SGAN_An_Alternative_CVPR_2018_paper.pdf",
        "aff": "Machine Learning group, Idiap Research Institute & Ecole Polytechnique Federale de Lausanne",
        "project": "",
        "github": "",
        "arxiv": "1712.02330v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "SGPN: Similarity Group Proposal Network for 3D Point Cloud Instance Segmentation",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Wang_SGPN_Similarity_Group_CVPR_2018_paper.html",
        "author": "Weiyue Wang, Ronald Yu, Qiangui Huang, Ulrich Neumann",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Wang_SGPN_Similarity_Group_CVPR_2018_paper.pdf",
        "aff": "University of California, San Diego; University of Southern California",
        "project": "",
        "github": "",
        "arxiv": "1711.08588v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "SINT++: Robust Visual Tracking via Adversarial Positive Instance Generation",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Wang_SINT_Robust_Visual_CVPR_2018_paper.html",
        "author": "Xiao Wang, Chenglong Li, Bin Luo, Jin Tang",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Wang_SINT_Robust_Visual_CVPR_2018_paper.pdf",
        "aff": "School of Computer Science and Technology, Anhui University, Hefei, China 230601",
        "project": "https://sites.google.com/view/cvpr2018sintplusplus/",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "SO-Net: Self-Organizing Network for Point Cloud Analysis",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Li_SO-Net_Self-Organizing_Network_CVPR_2018_paper.html",
        "author": "Jiaxin Li, Ben M. Chen, Gim Hee Lee",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Li_SO-Net_Self-Organizing_Network_CVPR_2018_paper.pdf",
        "aff": "National University of Singapore",
        "project": "",
        "github": "https://github.com/lijx10/SO-Net",
        "arxiv": "arXiv:1803.04249",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "SPLATNet: Sparse Lattice Networks for Point Cloud Processing",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Su_SPLATNet_Sparse_Lattice_CVPR_2018_paper.html",
        "author": "Hang Su, Varun Jampani, Deqing Sun, Subhransu Maji, Evangelos Kalogerakis, Ming-Hsuan Yang, Jan Kautz",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Su_SPLATNet_Sparse_Lattice_CVPR_2018_paper.pdf",
        "aff": "UMass Amherst; NVIDIA; UC Merced",
        "project": "",
        "github": "",
        "arxiv": "1802.08275v4",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "SSNet: Scale Selection Network for Online 3D Action Prediction",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Liu_SSNet_Scale_Selection_CVPR_2018_paper.html",
        "author": "Jun Liu, Amir Shahroudy, Gang Wang, Ling-Yu Duan, Alex C. Kot",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Liu_SSNet_Scale_Selection_CVPR_2018_paper.pdf",
        "aff": "School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore; National Engineering Lab for Video Technology, Peking University, Beijing, China; Alibaba Group, Hangzhou, China",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "ST-GAN: Spatial Transformer Generative Adversarial Networks for Image Compositing",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Lin_ST-GAN_Spatial_Transformer_CVPR_2018_paper.html",
        "author": "Chen-Hsuan Lin, Ersin Yumer, Oliver Wang, Eli Shechtman, Simon Lucey",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Lin_ST-GAN_Spatial_Transformer_CVPR_2018_paper.pdf",
        "aff": "Adobe Research; Carnegie Mellon University",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1803.01837",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "SYQ: Learning Symmetric Quantization for Efficient Deep Neural Networks",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Faraone_SYQ_Learning_Symmetric_CVPR_2018_paper.html",
        "author": "Julian Faraone, Nicholas Fraser, Michaela Blott, Philip H.W. Leong",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Faraone_SYQ_Learning_Symmetric_CVPR_2018_paper.pdf",
        "aff": "The University of Sydney*; Xilinx Research Labs#",
        "project": "",
        "github": "https://www.github.com/julianfaraone/SYQ",
        "arxiv": "1807.00301v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Salience Guided Depth Calibration for Perceptually Optimized Compressive Light Field 3D Display",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Wang_Salience_Guided_Depth_CVPR_2018_paper.html",
        "author": "Shizheng Wang, Wenjuan Liao, Phil Surman, Zhigang Tu, Yuanjin Zheng, Junsong Yuan",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Wang_Salience_Guided_Depth_CVPR_2018_paper.pdf",
        "aff": "School of EEE, Nanyang Technological University, Singapore; Institute of Microelectronics of Chinese Academy of Sciences, China; CSE department, University at Buffalo, USA",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Salient Object Detection Driven by Fixation Prediction",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Wang_Salient_Object_Detection_CVPR_2018_paper.html",
        "author": "Wenguan Wang, Jianbing Shen, Xingping Dong, Ali Borji",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Wang_Salient_Object_Detection_CVPR_2018_paper.pdf",
        "aff": "Beijing Lab of Intelligent Information Technology, School of Computer Science, Beijing Institute of Technology, China; Beijing Lab of Intelligent Information Technology, School of Computer Science, Beijing Institute of Technology, China; Inception Institute of Arti\ufb01cial Intelligence, Abu Dhabi, UAE; Department of Computer Science, University of Central Florida, USA",
        "project": "",
        "github": "https://github.com/wenguanwang/ASNet",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Scalable Dense Non-Rigid Structure-From-Motion: A Grassmannian Perspective",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Kumar_Scalable_Dense_Non-Rigid_CVPR_2018_paper.html",
        "author": "Suryansh Kumar, Anoop Cherian, Yuchao Dai, Hongdong Li",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Kumar_Scalable_Dense_Non-Rigid_CVPR_2018_paper.pdf",
        "aff": "Australian National University; Australian National University, NPU China; Australian National University, ACRV",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1803.00233",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Scalable and Effective Deep CCA via Soft Decorrelation",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Chang_Scalable_and_Effective_CVPR_2018_paper.html",
        "author": "Xiaobin Chang, Tao Xiang, Timothy M. Hospedales",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Chang_Scalable_and_Effective_CVPR_2018_paper.pdf",
        "aff": "Queen Mary University of London; The University of Edinburgh",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1707.09669",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Scale-Recurrent Network for Deep Image Deblurring",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Tao_Scale-Recurrent_Network_for_CVPR_2018_paper.html",
        "author": "Xin Tao, Hongyun Gao, Xiaoyong Shen, Jue Wang, Jiaya Jia",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Tao_Scale-Recurrent_Network_for_CVPR_2018_paper.pdf",
        "aff": "The Chinese University of Hong Kong, YouTu Lab, Tencent; YouTu Lab, Tencent; Megvii Inc.",
        "project": "",
        "github": "",
        "arxiv": "1802.01770v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Scale-Transferrable Object Detection",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Zhou_Scale-Transferrable_Object_Detection_CVPR_2018_paper.html",
        "author": "Peng Zhou, Bingbing Ni, Cong Geng, Jianguo Hu, Yi Xu",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Zhou_Scale-Transferrable_Object_Detection_CVPR_2018_paper.pdf",
        "aff": "Shanghai Key Laboratory of Digital Media Processing and Transmission, Shanghai Institute for Advanced Communication and Data Science, Shanghai Jiao Tong University, Shanghai 200240, China; Minivision",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "ScanComplete: Large-Scale Scene Completion and Semantic Segmentation for 3D Scans",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Dai_ScanComplete_Large-Scale_Scene_CVPR_2018_paper.html",
        "author": "Angela Dai, Daniel Ritchie, Martin Bokeloh, Scott Reed, J\u00fcrgen Sturm, Matthias Nie\u00dfner",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Dai_ScanComplete_Large-Scale_Scene_CVPR_2018_paper.pdf",
        "aff": "DeepMind; Technical University of Munich; Stanford University; Brown University; Google",
        "project": "",
        "github": "",
        "arxiv": "1712.10215v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "SeGAN: Segmenting and Generating the Invisible",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Ehsani_SeGAN_Segmenting_and_CVPR_2018_paper.html",
        "author": "Kiana Ehsani, Roozbeh Mottaghi, Ali Farhadi",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Ehsani_SeGAN_Segmenting_and_CVPR_2018_paper.pdf",
        "aff": "University of Washington, Allen Institute for AI (AI2); University of Washington; Allen Institute for AI (AI2)",
        "project": "",
        "github": "",
        "arxiv": "1703.10239v3",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "SeedNet: Automatic Seed Generation With Deep Reinforcement Learning for Robust Interactive Segmentation",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Song_SeedNet_Automatic_Seed_CVPR_2018_paper.html",
        "author": "Gwangmo Song, Heesoo Myeong, Kyoung Mu Lee",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Song_SeedNet_Automatic_Seed_CVPR_2018_paper.pdf",
        "aff": "Department of ECE, ASRI, Seoul National University, 08826, Seoul, Korea",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Seeing Small Faces From Robust Anchor's Perspective",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Zhu_Seeing_Small_Faces_CVPR_2018_paper.html",
        "author": "Chenchen Zhu, Ran Tao, Khoa Luu, Marios Savvides",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Zhu_Seeing_Small_Faces_CVPR_2018_paper.pdf",
        "aff": "Carnegie Mellon University",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1802.09058",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Seeing Temporal Modulation of Lights From Standard Cameras",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Sakakibara_Seeing_Temporal_Modulation_CVPR_2018_paper.html",
        "author": "Naoki Sakakibara, Fumihiko Sakaue, Jun Sato",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Sakakibara_Seeing_Temporal_Modulation_CVPR_2018_paper.pdf",
        "aff": "Nagoya Institute of Technology",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Seeing Voices and Hearing Faces: Cross-Modal Biometric Matching",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Nagrani_Seeing_Voices_and_CVPR_2018_paper.html",
        "author": "Arsha Nagrani, Samuel Albanie, Andrew Zisserman",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Nagrani_Seeing_Voices_and_CVPR_2018_paper.pdf",
        "aff": "VGG, Dept. of Engineering Science, University of Oxford",
        "project": "http://www.robots.ox.ac.uk/~vgg/research/CMBiometrics",
        "github": "",
        "arxiv": "1804.00326v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Self-Calibrating Polarising Radiometric Calibration",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Teo_Self-Calibrating_Polarising_Radiometric_CVPR_2018_paper.html",
        "author": "Daniel Teo, Boxin Shi, Yinqiang Zheng, Sai-Kit Yeung",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Teo_Self-Calibrating_Polarising_Radiometric_CVPR_2018_paper.pdf",
        "aff": "Information Systems Technology and Design, Singapore University of Technology and Design; Digital Content and Media Sciences Research Division, National Institute of Informatics; National Engineering Laboratory for Video Technology, School of EECS, Peking University",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Self-Supervised Adversarial Hashing Networks for Cross-Modal Retrieval",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Li_Self-Supervised_Adversarial_Hashing_CVPR_2018_paper.html",
        "author": "Chao Li, Cheng Deng, Ning Li, Wei Liu, Xinbo Gao, Dacheng Tao",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Li_Self-Supervised_Adversarial_Hashing_CVPR_2018_paper.pdf",
        "aff": "UBTECH Sydney AI Centre, SIT, FEIT, University of Sydney, Australia; Tencent AI Lab, Shenzhen, China; School of Electronic Engineering, Xidian University, Xi\u2019an 710071, China",
        "project": "",
        "github": "",
        "arxiv": "1804.01223v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Self-Supervised Feature Learning by Learning to Spot Artifacts",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Jenni_Self-Supervised_Feature_Learning_CVPR_2018_paper.html",
        "author": "Simon Jenni, Paolo Favaro",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Jenni_Self-Supervised_Feature_Learning_CVPR_2018_paper.pdf",
        "aff": "University of Bern, Switzerland",
        "project": "",
        "github": "",
        "arxiv": "1806.05024v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Self-Supervised Learning of Geometrically Stable Features Through Probabilistic Introspection",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Novotny_Self-Supervised_Learning_of_CVPR_2018_paper.html",
        "author": "David Novotny, Samuel Albanie, Diane Larlus, Andrea Vedaldi",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Novotny_Self-Supervised_Learning_of_CVPR_2018_paper.pdf",
        "aff": "Computer Vision Group, NAVER LABS Europe; Visual Geometry Group, Dept. of Engineering Science, University of Oxford",
        "project": "",
        "github": "",
        "arxiv": "1804.01552v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Self-Supervised Multi-Level Face Model Learning for Monocular Reconstruction at Over 250 Hz",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Tewari_Self-Supervised_Multi-Level_Face_CVPR_2018_paper.html",
        "author": "Ayush Tewari, Michael Zollh\u00f6fer, Pablo Garrido, Florian Bernard, Hyeongwoo Kim, Patrick P\u00e9rez, Christian Theobalt",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Tewari_Self-Supervised_Multi-Level_Face_CVPR_2018_paper.pdf",
        "aff": "Technicolor; MPI Informatics, Saarland Informatics Campus, Stanford University; MPI Informatics, Saarland Informatics Campus",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1712.02859",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "SemStyle: Learning to Generate Stylised Image Captions Using Unaligned Text",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Mathews_SemStyle_Learning_to_CVPR_2018_paper.html",
        "author": "Alexander Mathews, Lexing Xie, Xuming He",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Mathews_SemStyle_Learning_to_CVPR_2018_paper.pdf",
        "aff": "ShanghaiTech University\u2021; Australian National University\u2217, Data to Decision CRC\u2020",
        "project": "",
        "github": "",
        "arxiv": "1805.07030v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Semantic Video Segmentation by Gated Recurrent Flow Propagation",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Nilsson_Semantic_Video_Segmentation_CVPR_2018_paper.html",
        "author": "David Nilsson, Cristian Sminchisescu",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Nilsson_Semantic_Video_Segmentation_CVPR_2018_paper.pdf",
        "aff": "Department of Mathematics, Faculty of Engineering, Lund University; Institute of Mathematics of the Romanian Academy",
        "project": "",
        "github": "",
        "arxiv": "1612.08871v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Semantic Visual Localization",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Schonberger_Semantic_Visual_Localization_CVPR_2018_paper.html",
        "author": "Johannes L. Sch\u00f6nberger, Marc Pollefeys, Andreas Geiger, Torsten Sattler",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Schonberger_Semantic_Visual_Localization_CVPR_2018_paper.pdf",
        "aff": "Department of Computer Science, ETH Z\u00fcrich; Autonomous Vision Group, MPI T\u00fcbingen; Microsoft; Autonomous Vision Group, MPI T\u00fcbingen; Department of Computer Science, ETH Z\u00fcrich",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1804.08366",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Semi-Parametric Image Synthesis",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Qi_Semi-Parametric_Image_Synthesis_CVPR_2018_paper.html",
        "author": "Xiaojuan Qi, Qifeng Chen, Jiaya Jia, Vladlen Koltun",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Qi_Semi-Parametric_Image_Synthesis_CVPR_2018_paper.pdf",
        "aff": "Intel Labs; CUHK",
        "project": "",
        "github": "",
        "arxiv": "1804.10992v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Separating Self-Expression and Visual Content in Hashtag Supervision",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Veit_Separating_Self-Expression_and_CVPR_2018_paper.html",
        "author": "Andreas Veit, Maximilian Nickel, Serge Belongie, Laurens van der Maaten",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Veit_Separating_Self-Expression_and_CVPR_2018_paper.pdf",
        "aff": "Cornell University; Facebook AI Research",
        "project": "",
        "github": "",
        "arxiv": "1711.09825v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Separating Style and Content for Generalized Style Transfer",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Zhang_Separating_Style_and_CVPR_2018_paper.html",
        "author": "Yexun Zhang, Ya Zhang, Wenbin Cai",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Zhang_Separating_Style_and_CVPR_2018_paper.pdf",
        "aff": "Microsoft; Shanghai Jiao Tong University",
        "project": "",
        "github": "",
        "arxiv": "1711.06454v6",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "SfSNet: Learning Shape, Reflectance and Illuminance of Faces `in the Wild'",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Sengupta_SfSNet_Learning_Shape_CVPR_2018_paper.html",
        "author": "Soumyadip Sengupta, Angjoo Kanazawa, Carlos D. Castillo, David W. Jacobs",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Sengupta_SfSNet_Learning_Shape_CVPR_2018_paper.pdf",
        "aff": "University of Maryland, College Park; University of California, Berkeley",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Shape From Shading Through Shape Evolution",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Yang_Shape_From_Shading_CVPR_2018_paper.html",
        "author": "Dawei Yang, Jia Deng",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Yang_Shape_From_Shading_CVPR_2018_paper.pdf",
        "aff": "Computer Science and Engineering, University of Michigan",
        "project": "",
        "github": "",
        "arxiv": "1712.02961v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Shift: A Zero FLOP, Zero Parameter Alternative to Spatial Convolutions",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Wu_Shift_A_Zero_CVPR_2018_paper.html",
        "author": "Bichen Wu, Alvin Wan, Xiangyu Yue, Peter Jin, Sicheng Zhao, Noah Golmant, Amir Gholaminejad, Joseph Gonzalez, Kurt Keutzer",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Wu_Shift_A_Zero_CVPR_2018_paper.pdf",
        "aff": "UC Berkeley",
        "project": "",
        "github": "",
        "arxiv": "1711.08141v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Show Me a Story: Towards Coherent Neural Story Illustration",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Ravi_Show_Me_a_CVPR_2018_paper.html",
        "author": "Hareesh Ravi, Lezi Wang, Carlos Muniz, Leonid Sigal, Dimitris Metaxas, Mubbasir Kapadia",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Ravi_Show_Me_a_CVPR_2018_paper.pdf",
        "aff": "7613",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Zhang_ShuffleNet_An_Extremely_CVPR_2018_paper.html",
        "author": "Xiangyu Zhang, Xinyu Zhou, Mengxiao Lin, Jian Sun",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Zhang_ShuffleNet_An_Extremely_CVPR_2018_paper.pdf",
        "aff": "Megvii Inc (Face++)",
        "project": "",
        "github": "",
        "arxiv": "1707.01083v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Sim2Real Viewpoint Invariant Visual Servoing by Recurrent Control",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Sadeghi_Sim2Real_Viewpoint_Invariant_CVPR_2018_paper.html",
        "author": "Fereshteh Sadeghi, Alexander Toshev, Eric Jang, Sergey Levine",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Sadeghi_Sim2Real_Viewpoint_Invariant_CVPR_2018_paper.pdf",
        "aff": "University of Washington; Google Brain; University of California, Berkeley",
        "project": "https://www.youtube.com/watch?v=oLgM2Bnb7fo",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Single Image Dehazing via Conditional Generative Adversarial Network",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Li_Single_Image_Dehazing_CVPR_2018_paper.html",
        "author": "Runde Li, Jinshan Pan, Zechao Li, Jinhui Tang",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Li_Single_Image_Dehazing_CVPR_2018_paper.pdf",
        "aff": "School of Computer Science and Engineering, Nanjing University of Science and Technology",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Single Image Reflection Separation With Perceptual Losses",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Zhang_Single_Image_Reflection_CVPR_2018_paper.html",
        "author": "Xuaner Zhang, Ren Ng, Qifeng Chen",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Zhang_Single_Image_Reflection_CVPR_2018_paper.pdf",
        "aff": "Intel Labs; UC Berkeley",
        "project": "",
        "github": "",
        "arxiv": "1806.05376v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Single View Stereo Matching",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Luo_Single_View_Stereo_CVPR_2018_paper.html",
        "author": "Yue Luo, Jimmy Ren, Mude Lin, Jiahao Pang, Wenxiu Sun, Hongsheng Li, Liang Lin",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Luo_Single_View_Stereo_CVPR_2018_paper.pdf",
        "aff": "The Chinese University of Hong Kong, Hong Kong SAR, China; SenseTime Research, Sun Yat-sen University, China; SenseTime Research",
        "project": "",
        "github": "https://github.com/lawy623/SVS",
        "arxiv": "1803.02612v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Single-Image Depth Estimation Based on Fourier Domain Analysis",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Lee_Single-Image_Depth_Estimation_CVPR_2018_paper.html",
        "author": "Jae-Han Lee, Minhyeok Heo, Kyung-Rae Kim, Chang-Su Kim",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Lee_Single-Image_Depth_Estimation_CVPR_2018_paper.pdf",
        "aff": "Korea University",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Single-Shot Object Detection With Enriched Semantics",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Zhang_Single-Shot_Object_Detection_CVPR_2018_paper.html",
        "author": "Zhishuai Zhang, Siyuan Qiao, Cihang Xie, Wei Shen, Bo Wang, Alan L. Yuille",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Zhang_Single-Shot_Object_Detection_CVPR_2018_paper.pdf",
        "aff": "Shanghai University; Johns Hopkins University; Hikvision Research",
        "project": "",
        "github": "",
        "arxiv": "1712.00433v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Single-Shot Refinement Neural Network for Object Detection",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Zhang_Single-Shot_Refinement_Neural_CVPR_2018_paper.html",
        "author": "Shifeng Zhang, Longyin Wen, Xiao Bian, Zhen Lei, Stan Z. Li",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Zhang_Single-Shot_Refinement_Neural_CVPR_2018_paper.pdf",
        "aff": "CBSR & NLPR, Institute of Automation, Chinese Academy of Sciences, Beijing, China and University of Chinese Academy of Sciences, Beijing, China; Faculty of Information Technology, Macau University of Science and Technology, Macau, China and CBSR & NLPR, Institute of Automation, Chinese Academy of Sciences, Beijing, China and University of Chinese Academy of Sciences, Beijing, China; GE Global Research, Niskayuna, NY",
        "project": "",
        "github": "https://github.com/sfzhang15/RefineDet",
        "arxiv": "1711.06897v3",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Sketch-a-Classifier: Sketch-Based Photo Classifier Generation",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Hu_Sketch-a-Classifier_Sketch-Based_Photo_CVPR_2018_paper.html",
        "author": "Conghui Hu, Da Li, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Hu_Sketch-a-Classifier_Sketch-Based_Photo_CVPR_2018_paper.pdf",
        "aff": "SketchX, Queen Mary University of London and The University of Edinburgh; SketchX, Queen Mary University of London",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1804.11182",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "SketchMate: Deep Hashing for Million-Scale Human Sketch Retrieval",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Xu_SketchMate_Deep_Hashing_CVPR_2018_paper.html",
        "author": "Peng Xu, Yongye Huang, Tongtong Yuan, Kaiyue Pang, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales, Zhanyu Ma, Jun Guo",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Xu_SketchMate_Deep_Hashing_CVPR_2018_paper.pdf",
        "aff": "Beijing University of Posts and Telecommunications, China; SketchX, Queen Mary University of London, UK; The University of Edinburgh, UK",
        "project": "",
        "github": "",
        "arxiv": "1804.01401v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "SketchyGAN: Towards Diverse and Realistic Sketch to Image Synthesis",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Chen_SketchyGAN_Towards_Diverse_CVPR_2018_paper.html",
        "author": "Wengling Chen, James Hays",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Chen_SketchyGAN_Towards_Diverse_CVPR_2018_paper.pdf",
        "aff": "Georgia Institute of Technology, Argo AI; Georgia Institute of Technology",
        "project": "",
        "github": "",
        "arxiv": "1801.02753v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Sliced Wasserstein Distance for Learning Gaussian Mixture Models",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Kolouri_Sliced_Wasserstein_Distance_CVPR_2018_paper.html",
        "author": "Soheil Kolouri, Gustavo K. Rohde, Heiko Hoffmann",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Kolouri_Sliced_Wasserstein_Distance_CVPR_2018_paper.pdf",
        "aff": "HRL Laboratories, LLC; University of Virginia",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1711.05376",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Smooth Neighbors on Teacher Graphs for Semi-Supervised Learning",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Luo_Smooth_Neighbors_on_CVPR_2018_paper.html",
        "author": "Yucen Luo, Jun Zhu, Mengxi Li, Yong Ren, Bo Zhang",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Luo_Smooth_Neighbors_on_CVPR_2018_paper.pdf",
        "aff": "Dept. of Comp. Sci. & Tech., State Key Lab for Intell. Tech. & Sys., BNRist Lab, Tsinghua University; Department of Electronical Engineering, Tsinghua University",
        "project": "",
        "github": "",
        "arxiv": "1711.00258v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "SoS-RSC: A Sum-of-Squares Polynomial Approach to Robustifying Subspace Clustering Algorithms",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Sznaier_SoS-RSC_A_Sum-of-Squares_CVPR_2018_paper.html",
        "author": "Mario Sznaier, Octavia Camps",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Sznaier_SoS-RSC_A_Sum-of-Squares_CVPR_2018_paper.pdf",
        "aff": "Electrical and Computer Engineering, Northeastern University, Boston, MA, 02115",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "SobolevFusion: 3D Reconstruction of Scenes Undergoing Free Non-Rigid Motion",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Slavcheva_SobolevFusion_3D_Reconstruction_CVPR_2018_paper.html",
        "author": "Miroslava Slavcheva, Maximilian Baust, Slobodan Ilic",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Slavcheva_SobolevFusion_3D_Reconstruction_CVPR_2018_paper.pdf",
        "aff": "Technische Universit \u00a8at M \u00a8unchen, Siemens Corporate Technology; Technische Universit \u00a8at M \u00a8unchen, Konica Minolta Laboratory Europe (KMLE)",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Soccer on Your Tabletop",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Rematas_Soccer_on_Your_CVPR_2018_paper.html",
        "author": "Konstantinos Rematas, Ira Kemelmacher-Shlizerman, Brian Curless, Steve Seitz",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Rematas_Soccer_on_Your_CVPR_2018_paper.pdf",
        "aff": "University of Washington; University of Washington, Google; University of Washington, Facebook",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1806.00890",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Social GAN: Socially Acceptable Trajectories With Generative Adversarial Networks",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Gupta_Social_GAN_Socially_CVPR_2018_paper.html",
        "author": "Agrim Gupta, Justin Johnson, Li Fei-Fei, Silvio Savarese, Alexandre Alahi",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Gupta_Social_GAN_Socially_CVPR_2018_paper.pdf",
        "aff": "Stanford University and Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne; Stanford University",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1803.10892",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Solving the Perspective-2-Point Problem for Flying-Camera Photo Composition",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Lan_Solving_the_Perspective-2-Point_CVPR_2018_paper.html",
        "author": "Ziquan Lan, David Hsu, Gim Hee Lee",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Lan_Solving_the_Perspective-2-Point_CVPR_2018_paper.pdf",
        "aff": "NUS Graduate School for Integrative Sciences and Engineering, Department of Computer Science, National University of Singapore; Department of Computer Science, National University of Singapore",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Sparse Photometric 3D Face Reconstruction Guided by Morphable Models",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Cao_Sparse_Photometric_3D_CVPR_2018_paper.html",
        "author": "Xuan Cao, Zhang Chen, Anpei Chen, Xin Chen, Shiying Li, Jingyi Yu",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Cao_Sparse_Photometric_3D_CVPR_2018_paper.pdf",
        "aff": "ShanghaiTech University",
        "project": "",
        "github": "",
        "arxiv": "1711.10870v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Sparse, Smart Contours to Represent and Edit Images",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Dekel_Sparse_Smart_Contours_CVPR_2018_paper.html",
        "author": "Tali Dekel, Chuang Gan, Dilip Krishnan, Ce Liu, William T. Freeman",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Dekel_Sparse_Smart_Contours_CVPR_2018_paper.pdf",
        "aff": "MIT-Watson AI Lab; MIT-CSAIL; Google Research",
        "project": "https://contour2im.github.io/",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Spatially-Adaptive Filter Units for Deep Neural Networks",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Tabernik_Spatially-Adaptive_Filter_Units_CVPR_2018_paper.html",
        "author": "Domen Tabernik, Matej Kristan, Ale\u0161 Leonardis",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Tabernik_Spatially-Adaptive_Filter_Units_CVPR_2018_paper.pdf",
        "aff": "CN-CR Centre, School of Computer Science, University of Birmingham, Birmingham, UK; Faculty of Computer and Information Science, University of Ljubljana, Ljubljana, Slovenia",
        "project": "",
        "github": "",
        "arxiv": "1711.11473v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Spline Error Weighting for Robust Visual-Inertial Fusion",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Ovren_Spline_Error_Weighting_CVPR_2018_paper.html",
        "author": "Hannes Ovr\u00e9n, Per-Erik Forss\u00e9n",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Ovren_Spline_Error_Weighting_CVPR_2018_paper.pdf",
        "aff": "Link \u00a8oping University, Link \u00a8oping, Sweden",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1804.04820",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "SplineCNN: Fast Geometric Deep Learning With Continuous B-Spline Kernels",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Fey_SplineCNN_Fast_Geometric_CVPR_2018_paper.html",
        "author": "Matthias Fey, Jan Eric Lenssen, Frank Weichert, Heinrich M\u00fcller",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Fey_SplineCNN_Fast_Geometric_CVPR_2018_paper.pdf",
        "aff": "Department of Computer Graphics, TU Dortmund University",
        "project": "",
        "github": "https://github.com/rusty1s/pytorch_geometric",
        "arxiv": "arXiv:1711.08920",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Squeeze-and-Excitation Networks",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Hu_Squeeze-and-Excitation_Networks_CVPR_2018_paper.html",
        "author": "Jie Hu, Li Shen, Gang Sun",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Hu_Squeeze-and-Excitation_Networks_CVPR_2018_paper.pdf",
        "aff": "Momenta; Department of Engineering Science, University of Oxford",
        "project": "",
        "github": "https://github.com/hujie-frank/SENet",
        "arxiv": "1709.01507v4",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow Removal",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Wang_Stacked_Conditional_Generative_CVPR_2018_paper.html",
        "author": "Jifeng Wang, Xiang Li, Jian Yang",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Wang_Stacked_Conditional_Generative_CVPR_2018_paper.pdf",
        "aff": "1. Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, 210094, P.R. China; 2. Jiangsu Key Laboratory of Image and Video Understanding for Social Security, School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, 210094, P.R. China; DeepInsight@PCALab, Nanjing University of Science and Technology",
        "project": "",
        "github": "",
        "arxiv": "1712.02478v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Stacked Latent Attention for Multimodal Reasoning",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Fan_Stacked_Latent_Attention_CVPR_2018_paper.html",
        "author": "Haoqi Fan, Jiatong Zhou",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Fan_Stacked_Latent_Attention_CVPR_2018_paper.pdf",
        "aff": "Facebook Research, 1 Hacker Way, jiatong@fb.com; Facebook Research, 1 Hacker Way, haoqifan@fb.com",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Choi_StarGAN_Unified_Generative_CVPR_2018_paper.html",
        "author": "Yunjey Choi, Minje Choi, Munyoung Kim, Jung-Woo Ha, Sunghun Kim, Jaegul Choo",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Choi_StarGAN_Unified_Generative_CVPR_2018_paper.pdf",
        "aff": "Korea University, Clova AI Research, NAVER Corp.; Clova AI Research, NAVER Corp., The College of New Jersey; Clova AI Research, NAVER Corp.; Clova AI Research, NAVER Corp., Hong Kong University of Science & Technology",
        "project": "",
        "github": "",
        "arxiv": "1711.09020v3",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Statistical Tomography of Microscopic Life",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Levis_Statistical_Tomography_of_CVPR_2018_paper.html",
        "author": "Aviad Levis, Yoav Y. Schechner, Ronen Talmon",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Levis_Statistical_Tomography_of_CVPR_2018_paper.pdf",
        "aff": "Viterbi Faculty of Electrical Engineering, Technion - Israel Institute of Technology, Haifa, Israel",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Stereoscopic Neural Style Transfer",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Chen_Stereoscopic_Neural_Style_CVPR_2018_paper.html",
        "author": "Dongdong Chen, Lu Yuan, Jing Liao, Nenghai Yu, Gang Hua",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Chen_Stereoscopic_Neural_Style_CVPR_2018_paper.pdf",
        "aff": "Microsoft Research; University of Science and Technology of China",
        "project": "",
        "github": "",
        "arxiv": "1802.10591v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Kuen_Stochastic_Downsampling_for_CVPR_2018_paper.html",
        "author": "Jason Kuen, Xiangfei Kong, Zhe Lin, Gang Wang, Jianxiong Yin, Simon See, Yap-Peng Tan",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Kuen_Stochastic_Downsampling_for_CVPR_2018_paper.pdf",
        "aff": "Adobe Research; Alibaba AI Labs; Nanyang Technological University; NVIDIA",
        "project": "",
        "github": "",
        "arxiv": "1801.09335v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Stochastic Variational Inference With Gradient Linearization",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Plotz_Stochastic_Variational_Inference_CVPR_2018_paper.html",
        "author": "Tobias Pl\u00f6tz, Anne S. Wannenwetsch, Stefan Roth",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Plotz_Stochastic_Variational_Inference_CVPR_2018_paper.pdf",
        "aff": "Department of Computer Science, TU Darmstadt",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1803.10586",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Structure From Recurrent Motion: From Rigidity to Recurrency",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Li_Structure_From_Recurrent_CVPR_2018_paper.html",
        "author": "Xiu Li, Hongdong Li, Hanbyul Joo, Yebin Liu, Yaser Sheikh",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Li_Structure_From_Recurrent_CVPR_2018_paper.pdf",
        "aff": "Tsinghua University; Carnegie Mellon University",
        "project": "",
        "github": "",
        "arxiv": "1804.06510v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Structure Inference Net: Object Detection Using Scene-Level Context and Instance-Level Relationships",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Liu_Structure_Inference_Net_CVPR_2018_paper.html",
        "author": "Yong Liu, Ruiping Wang, Shiguang Shan, Xilin Chen",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Liu_Structure_Inference_Net_CVPR_2018_paper.pdf",
        "aff": "Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing, 100190, China; University of Chinese Academy of Sciences, Beijing, 100049, China; Cooperative Medianet Innovation Center, China; Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing, 100190, China; University of Chinese Academy of Sciences, Beijing, 100049, China",
        "project": "",
        "github": "",
        "arxiv": "1807.00119v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Structure Preserving Video Prediction",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Xu_Structure_Preserving_Video_CVPR_2018_paper.html",
        "author": "Jingwei Xu, Bingbing Ni, Zefan Li, Shuo Cheng, Xiaokang Yang",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Xu_Structure_Preserving_Video_CVPR_2018_paper.pdf",
        "aff": "Shanghai Institute for Advanced Communication and Data Science, Shanghai Key Laboratory of Digital Media Processing and Transmission, Shanghai Jiao Tong University, Shanghai 200240, China",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Structured Attention Guided Convolutional Neural Fields for Monocular Depth Estimation",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Xu_Structured_Attention_Guided_CVPR_2018_paper.html",
        "author": "Dan Xu, Wei Wang, Hao Tang, Hong Liu, Nicu Sebe, Elisa Ricci",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Xu_Structured_Attention_Guided_CVPR_2018_paper.pdf",
        "aff": "Key Laboratory of Machine Perception, Shenzhen Graduate School, Peking University; Multimedia and Human Understanding Group, University of Trento; Multimedia and Human Understanding Group, University of Trento and Technologies of Vision Group, Fondazione Bruno Kessler",
        "project": "",
        "github": "",
        "arxiv": "1803.11029v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Structured Set Matching Networks for One-Shot Part Labeling",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Choi_Structured_Set_Matching_CVPR_2018_paper.html",
        "author": "Jonghyun Choi, Jayant Krishnamurthy, Aniruddha Kembhavi, Ali Farhadi",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Choi_Structured_Set_Matching_CVPR_2018_paper.pdf",
        "aff": "Semantic Machines; University of Washington; Allen Institute for Arti\ufb01cial Intelligence",
        "project": "",
        "github": "",
        "arxiv": "1712.01867v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Structured Uncertainty Prediction Networks",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Dorta_Structured_Uncertainty_Prediction_CVPR_2018_paper.html",
        "author": "Garoe Dorta, Sara Vicente, Lourdes Agapito, Neill D. F. Campbell, Ivor Simpson",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Dorta_Structured_Uncertainty_Prediction_CVPR_2018_paper.pdf",
        "aff": "University College London; Anthropics Technology Ltd.; University of Bath",
        "project": "",
        "github": "",
        "arxiv": "1802.07079v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Style Aggregated Network for Facial Landmark Detection",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Dong_Style_Aggregated_Network_CVPR_2018_paper.html",
        "author": "Xuanyi Dong, Yan Yan, Wanli Ouyang, Yi Yang",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Dong_Style_Aggregated_Network_CVPR_2018_paper.pdf",
        "aff": "University of Technology Sydney; The University of Sydney",
        "project": "",
        "github": "https://github.com/D-X-Y/SAN",
        "arxiv": "1803.04108v4",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolation",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Jiang_Super_SloMo_High_CVPR_2018_paper.html",
        "author": "Huaizu Jiang, Deqing Sun, Varun Jampani, Ming-Hsuan Yang, Erik Learned-Miller, Jan Kautz",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Jiang_Super_SloMo_High_CVPR_2018_paper.pdf",
        "aff": "UMass Amherst; NVIDIA; UC Merced",
        "project": "",
        "github": "",
        "arxiv": "1712.00080v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Super-FAN: Integrated Facial Landmark Localization and Super-Resolution of Real-World Low Resolution Faces in Arbitrary Poses With GANs",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Bulat_Super-FAN_Integrated_Facial_CVPR_2018_paper.html",
        "author": "Adrian Bulat, Georgios Tzimiropoulos",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Bulat_Super-FAN_Integrated_Facial_CVPR_2018_paper.pdf",
        "aff": "Computer Vision Laboratory, The University of Nottingham, United Kingdom",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1712.02765",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Super-Resolving Very Low-Resolution Face Images With Supplementary Attributes",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Yu_Super-Resolving_Very_Low-Resolution_CVPR_2018_paper.html",
        "author": "Xin Yu, Basura Fernando, Richard Hartley, Fatih Porikli",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Yu_Super-Resolving_Very_Low-Resolution_CVPR_2018_paper.pdf",
        "aff": "Australian National University",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Supervision-by-Registration: An Unsupervised Approach to Improve the Precision of Facial Landmark Detectors",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Dong_Supervision-by-Registration_An_Unsupervised_CVPR_2018_paper.html",
        "author": "Xuanyi Dong, Shoou-I Yu, Xinshuo Weng, Shih-En Wei, Yi Yang, Yaser Sheikh",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Dong_Supervision-by-Registration_An_Unsupervised_CVPR_2018_paper.pdf",
        "aff": "Facebook Reality Labs, Pittsburgh; CAI, University of Technology Sydney",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1807.00966",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "SurfConv: Bridging 3D and 2D Convolution for RGBD Images",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Chu_SurfConv_Bridging_3D_CVPR_2018_paper.html",
        "author": "Hang Chu, Wei-Chiu Ma, Kaustav Kundu, Raquel Urtasun, Sanja Fidler",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Chu_SurfConv_Bridging_3D_CVPR_2018_paper.pdf",
        "aff": "Uber ATG; University of Toronto, Vector Institute, Uber ATG; University of Toronto, Vector Institute",
        "project": "",
        "github": "https://github.com/chuhang/SurfConv",
        "arxiv": "1812.01519v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Surface Networks",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Kostrikov_Surface_Networks_CVPR_2018_paper.html",
        "author": "Ilya Kostrikov, Zhongshi Jiang, Daniele Panozzo, Denis Zorin, Joan Bruna",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Kostrikov_Surface_Networks_CVPR_2018_paper.pdf",
        "aff": "Courant Institute of Mathematical Sciences, New York University and Center for Data Science, New York University; Courant Institute of Mathematical Sciences, New York University",
        "project": "",
        "github": "",
        "arxiv": "1705.10819v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Synthesizing Images of Humans in Unseen Poses",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Balakrishnan_Synthesizing_Images_of_CVPR_2018_paper.html",
        "author": "Guha Balakrishnan, Amy Zhao, Adrian V. Dalca, Fr\u00e9do Durand, John Guttag",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Balakrishnan_Synthesizing_Images_of_CVPR_2018_paper.pdf",
        "aff": "MIT; MIT and MGH",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1804.07739",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "TOM-Net: Learning Transparent Object Matting From a Single Image",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Chen_TOM-Net_Learning_Transparent_CVPR_2018_paper.html",
        "author": "Guanying Chen, Kai Han, Kwan-Yee K. Wong",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Chen_TOM-Net_Learning_Transparent_CVPR_2018_paper.pdf",
        "aff": "The University of Hong Kong, Hong Kong",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1803.04636",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Tagging Like Humans: Diverse and Distinct Image Annotation",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Wu_Tagging_Like_Humans_CVPR_2018_paper.html",
        "author": "Baoyuan Wu, Weidong Chen, Peng Sun, Wei Liu, Bernard Ghanem, Siwei Lyu",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Wu_Tagging_Like_Humans_CVPR_2018_paper.pdf",
        "aff": "Tencent AI Lab; KAUST; University at Albany, SUNY",
        "project": "",
        "github": "",
        "arxiv": "1804.00113v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Tags2Parts: Discovering Semantic Regions From Shape Tags",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Muralikrishnan_Tags2Parts_Discovering_Semantic_CVPR_2018_paper.html",
        "author": "Sanjeev Muralikrishnan, Vladimir G. Kim, Siddhartha Chaudhuri",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Muralikrishnan_Tags2Parts_Discovering_Semantic_CVPR_2018_paper.pdf",
        "aff": "Adobe Research; IIT Bombay; IIT Bombay, Adobe Research",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1708.06673",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Tangent Convolutions for Dense Prediction in 3D",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Tatarchenko_Tangent_Convolutions_for_CVPR_2018_paper.html",
        "author": "Maxim Tatarchenko, Jaesik Park, Vladlen Koltun, Qian-Yi Zhou",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Tatarchenko_Tangent_Convolutions_for_CVPR_2018_paper.pdf",
        "aff": "University of Freiburg; Intel Labs",
        "project": "",
        "github": "",
        "arxiv": "1807.02443v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Taskonomy: Disentangling Task Transfer Learning",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Zamir_Taskonomy_Disentangling_Task_CVPR_2018_paper.html",
        "author": "Amir R. Zamir, Alexander Sax, William Shen, Leonidas J. Guibas, Jitendra Malik, Silvio Savarese",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Zamir_Taskonomy_Disentangling_Task_CVPR_2018_paper.pdf",
        "aff": "Stanford University; University of California, Berkeley",
        "project": "http://taskonomy.vision/",
        "github": "",
        "arxiv": "arXiv:1804.08328",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Teaching Categories to Human Learners With Visual Explanations",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Aodha_Teaching_Categories_to_CVPR_2018_paper.html",
        "author": "Oisin Mac Aodha, Shihan Su, Yuxin Chen, Pietro Perona, Yisong Yue",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Aodha_Teaching_Categories_to_CVPR_2018_paper.pdf",
        "aff": "California Institute of Technology",
        "project": "",
        "github": "",
        "arxiv": "1802.06924v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Tell Me Where to Look: Guided Attention Inference Network",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Li_Tell_Me_Where_CVPR_2018_paper.html",
        "author": "Kunpeng Li, Ziyan Wu, Kuan-Chuan Peng, Jan Ernst, Yun Fu",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Li_Tell_Me_Where_CVPR_2018_paper.pdf",
        "aff": "Department of Electrical and Computer Engineering, Northeastern University, Boston, MA; Siemens Corporate Technology, Princeton, NJ; Department of Electrical and Computer Engineering, Northeastern University, Boston, MA and College of Computer and Information Science, Northeastern University, Boston, MA",
        "project": "",
        "github": "",
        "arxiv": "1802.10171v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Temporal Deformable Residual Networks for Action Segmentation in Videos",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Lei_Temporal_Deformable_Residual_CVPR_2018_paper.html",
        "author": "Peng Lei, Sinisa Todorovic",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Lei_Temporal_Deformable_Residual_CVPR_2018_paper.pdf",
        "aff": "Oregon State University",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Temporal Hallucinating for Action Recognition With Few Still Images",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Wang_Temporal_Hallucinating_for_CVPR_2018_paper.html",
        "author": "Yali Wang, Lei Zhou, Yu Qiao",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Wang_Temporal_Hallucinating_for_CVPR_2018_paper.pdf",
        "aff": "Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China and SenseTime Group Limited; Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China; Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China and The Chinese University of Hong Kong",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Tensorize, Factorize and Regularize: Robust Visual Relationship Learning",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Hwang_Tensorize_Factorize_and_CVPR_2018_paper.html",
        "author": "Seong Jae Hwang, Sathya N. Ravi, Zirui Tao, Hyunwoo J. Kim, Maxwell D. Collins, Vikas Singh",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Hwang_Tensorize_Factorize_and_CVPR_2018_paper.pdf",
        "aff": "Dept. of Biostatistics and Med. Informatics, University of Wisconsin - Madison, Madison, WI; Dept. of Computer Sciences, University of Wisconsin - Madison, Madison, WI",
        "project": "http://pages.cs.wisc.edu/~sjh",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Textbook Question Answering Under Instructor Guidance With Memory Networks",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Li_Textbook_Question_Answering_CVPR_2018_paper.html",
        "author": "Juzheng Li, Hang Su, Jun Zhu, Siyu Wang, Bo Zhang",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Li_Textbook_Question_Answering_CVPR_2018_paper.pdf",
        "aff": "Tsinghua University; Department of Computer Science and Technology, Tsinghua Lab of Brain and Intelligence, Beijing National Research Center for Information Science and Technology, BNRist Lab, Tsinghua University",
        "project": "",
        "github": "https://github.com/freerailway/igmn",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Texture Mapping for 3D Reconstruction With RGB-D Sensor",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Fu_Texture_Mapping_for_CVPR_2018_paper.html",
        "author": "Yanping Fu, Qingan Yan, Long Yang, Jie Liao, Chunxia Xiao",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Fu_Texture_Mapping_for_CVPR_2018_paper.pdf",
        "aff": "College of Information Engineering, Northwest A&F University, China; JD.com; School of Computer, Wuhan University, China",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "TextureGAN: Controlling Deep Image Synthesis With Texture Patches",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Xian_TextureGAN_Controlling_Deep_CVPR_2018_paper.html",
        "author": "Wenqi Xian, Patsorn Sangkloy, Varun Agrawal, Amit Raj, Jingwan Lu, Chen Fang, Fisher Yu, James Hays",
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        "aff": "Adobe Research; Georgia Institute of Technology and Argo AI; Georgia Institute of Technology; UC Berkeley",
        "project": "",
        "github": "",
        "arxiv": "1706.02823v3",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "The Best of Both Worlds: Combining CNNs and Geometric Constraints for Hierarchical Motion Segmentation",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Bideau_The_Best_of_CVPR_2018_paper.html",
        "author": "Pia Bideau, Aruni RoyChowdhury, Rakesh R. Menon, Erik Learned-Miller",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Bideau_The_Best_of_CVPR_2018_paper.pdf",
        "aff": "College of Information and Computer Science, University of Massachusetts Amherst",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "The INaturalist Species Classification and Detection Dataset",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Van_Horn_The_INaturalist_Species_CVPR_2018_paper.html",
        "author": "Grant Van Horn, Oisin Mac Aodha, Yang Song, Yin Cui, Chen Sun, Alex Shepard, Hartwig Adam, Pietro Perona, Serge Belongie",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Van_Horn_The_INaturalist_Species_CVPR_2018_paper.pdf",
        "aff": "iNaturalist; Cornell Tech; Google; Caltech",
        "project": "www.inaturalist.org",
        "github": "",
        "arxiv": "1707.06642v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "The Lov\u00e1sz-Softmax Loss: A Tractable Surrogate for the Optimization of the Intersection-Over-Union Measure in Neural Networks",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Berman_The_LovaSz-Softmax_Loss_CVPR_2018_paper.html",
        "author": "Maxim Berman, Amal Rannen Triki, Matthew B. Blaschko",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Berman_The_LovaSz-Softmax_Loss_CVPR_2018_paper.pdf",
        "aff": "Dept. ESAT, Center for Processing Speech and Images, KU Leuven, Belgium",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "The Perception-Distortion Tradeoff",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Blau_The_Perception-Distortion_Tradeoff_CVPR_2018_paper.html",
        "author": "Yochai Blau, Tomer Michaeli",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Blau_The_Perception-Distortion_Tradeoff_CVPR_2018_paper.pdf",
        "aff": "Technion\u2013Israel Institute of Technology, Haifa, Israel",
        "project": "",
        "github": "",
        "arxiv": "1711.06077v3",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "The Power of Ensembles for Active Learning in Image Classification",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Beluch_The_Power_of_CVPR_2018_paper.html",
        "author": "William H. Beluch, Tim Genewein, Andreas N\u00fcrnberger, Jan M. K\u00f6hler",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Beluch_The_Power_of_CVPR_2018_paper.pdf",
        "aff": "BCAI; University Magdeburg; BCAI\u2217",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "The Unreasonable Effectiveness of Deep Features as a Perceptual Metric",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Zhang_The_Unreasonable_Effectiveness_CVPR_2018_paper.html",
        "author": "Richard Zhang, Phillip Isola, Alexei A. Efros, Eli Shechtman, Oliver Wang",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Zhang_The_Unreasonable_Effectiveness_CVPR_2018_paper.pdf",
        "aff": "Adobe Research; UC Berkeley; UC Berkeley/OpenAI",
        "project": "",
        "github": "https://www.github.com/richzhang/PerceptualSimilarity",
        "arxiv": "arXiv:1801.03924",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Thoracic Disease Identification and Localization With Limited Supervision",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Li_Thoracic_Disease_Identification_CVPR_2018_paper.html",
        "author": "Zhe Li, Chong Wang, Mei Han, Yuan Xue, Wei Wei, Li-Jia Li, Li Fei-Fei",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Li_Thoracic_Disease_Identification_CVPR_2018_paper.pdf",
        "aff": "PingAn Technology, US Research Lab; Google Inc.; Syracuse University",
        "project": "",
        "github": "",
        "arxiv": "1711.06373v6",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Through-Wall Human Pose Estimation Using Radio Signals",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Zhao_Through-Wall_Human_Pose_CVPR_2018_paper.html",
        "author": "Mingmin Zhao, Tianhong Li, Mohammad Abu Alsheikh, Yonglong Tian, Hang Zhao, Antonio Torralba, Dina Katabi",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Zhao_Through-Wall_Human_Pose_CVPR_2018_paper.pdf",
        "aff": "MIT CSAIL",
        "project": "http://www.radiopose.com/",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "TieNet: Text-Image Embedding Network for Common Thorax Disease Classification and Reporting in Chest X-Rays",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Wang_TieNet_Text-Image_Embedding_CVPR_2018_paper.html",
        "author": "Xiaosong Wang, Yifan Peng, Le Lu, Zhiyong Lu, Ronald M. Summers",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Wang_TieNet_Text-Image_Embedding_CVPR_2018_paper.pdf",
        "aff": "Department of Radiology and Imaging Sciences, Clinical Center, National Institutes of Health; National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1801.04334",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Time-Resolved Light Transport Decomposition for Thermal Photometric Stereo",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Tanaka_Time-Resolved_Light_Transport_CVPR_2018_paper.html",
        "author": "Kenichiro Tanaka, Nobuhiro Ikeya, Tsuyoshi Takatani, Hiroyuki Kubo, Takuya Funatomi, Yasuhiro Mukaigawa",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Tanaka_Time-Resolved_Light_Transport_CVPR_2018_paper.pdf",
        "aff": "Nara Institute of Science and Technology (NAIST), Japan",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Tips and Tricks for Visual Question Answering: Learnings From the 2017 Challenge",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Teney_Tips_and_Tricks_CVPR_2018_paper.html",
        "author": "Damien Teney, Peter Anderson, Xiaodong He, Anton van den Hengel",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Teney_Tips_and_Tricks_CVPR_2018_paper.pdf",
        "aff": "University of Adelaide; Australian National University; JD AI Research",
        "project": "",
        "github": "",
        "arxiv": "1708.02711v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Total Capture: A 3D Deformation Model for Tracking Faces, Hands, and Bodies",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Joo_Total_Capture_A_CVPR_2018_paper.html",
        "author": "Hanbyul Joo, Tomas Simon, Yaser Sheikh",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Joo_Total_Capture_A_CVPR_2018_paper.pdf",
        "aff": "Carnegie Mellon University; Carnegie Mellon University, Facebook Reality Labs, Pittsburgh",
        "project": "http://www.cs.cmu.edu/~hanbyulj/totalcapture",
        "github": "",
        "arxiv": "1801.01615v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Toward Driving Scene Understanding: A Dataset for Learning Driver Behavior and Causal Reasoning",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Ramanishka_Toward_Driving_Scene_CVPR_2018_paper.html",
        "author": "Vasili Ramanishka, Yi-Ting Chen, Teruhisa Misu, Kate Saenko",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Ramanishka_Toward_Driving_Scene_CVPR_2018_paper.pdf",
        "aff": "Boston University; Honda Research Institute, USA",
        "project": "https://usa.honda-ri.com/HDD",
        "github": "",
        "arxiv": "1811.02307v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Towards Dense Object Tracking in a 2D Honeybee Hive",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Bozek_Towards_Dense_Object_CVPR_2018_paper.html",
        "author": "Katarzyna Bozek, Laetitia Hebert, Alexander S. Mikheyev, Greg J. Stephens",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Bozek_Towards_Dense_Object_CVPR_2018_paper.pdf",
        "aff": "OIST Graduate University and VU University - Faculty of Sciences, Amsterdam, The Netherlands; OIST Graduate University, Okinawa, Japan",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1712.08324",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Towards Effective Low-Bitwidth Convolutional Neural Networks",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Zhuang_Towards_Effective_Low-Bitwidth_CVPR_2018_paper.html",
        "author": "Bohan Zhuang, Chunhua Shen, Mingkui Tan, Lingqiao Liu, Ian Reid",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Zhuang_Towards_Effective_Low-Bitwidth_CVPR_2018_paper.pdf",
        "aff": "The University of Adelaide, Australia; South China University of Technology, China",
        "project": "",
        "github": "",
        "arxiv": "1711.00205v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Towards Faster Training of Global Covariance Pooling Networks by Iterative Matrix Square Root Normalization",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Li_Towards_Faster_Training_CVPR_2018_paper.html",
        "author": "Peihua Li, Jiangtao Xie, Qilong Wang, Zilin Gao",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Li_Towards_Faster_Training_CVPR_2018_paper.pdf",
        "aff": "Dalian University of Technology",
        "project": "",
        "github": "http://www.peihuali.org/iSQRT-COV",
        "arxiv": "1712.01034v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Towards High Performance Video Object Detection",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Zhu_Towards_High_Performance_CVPR_2018_paper.html",
        "author": "Xizhou Zhu, Jifeng Dai, Lu Yuan, Yichen Wei",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Zhu_Towards_High_Performance_CVPR_2018_paper.pdf",
        "aff": "Microsoft Research; University of Science and Technology of China",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1804.05830",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Towards Human-Machine Cooperation: Self-Supervised Sample Mining for Object Detection",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Wang_Towards_Human-Machine_Cooperation_CVPR_2018_paper.html",
        "author": "Keze Wang, Xiaopeng Yan, Dongyu Zhang, Lei Zhang, Liang Lin",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Wang_Towards_Human-Machine_Cooperation_CVPR_2018_paper.pdf",
        "aff": "Sun Yat-sen University; Sun Yat-sen University and SenseTime Research; The Hong Kong Polytechnic University",
        "project": "",
        "github": "",
        "arxiv": "1803.09867v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Towards Open-Set Identity Preserving Face Synthesis",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Bao_Towards_Open-Set_Identity_CVPR_2018_paper.html",
        "author": "Jianmin Bao, Dong Chen, Fang Wen, Houqiang Li, Gang Hua",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Bao_Towards_Open-Set_Identity_CVPR_2018_paper.pdf",
        "aff": "Microsoft Research; University of Science and Technology of China",
        "project": "",
        "github": "",
        "arxiv": "1803.11182v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Towards Pose Invariant Face Recognition in the Wild",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Zhao_Towards_Pose_Invariant_CVPR_2018_paper.html",
        "author": "Jian Zhao, Yu Cheng, Yan Xu, Lin Xiong, Jianshu Li, Fang Zhao, Karlekar Jayashree, Sugiri Pranata, Shengmei Shen, Junliang Xing, Shuicheng Yan, Jiashi Feng",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Zhao_Towards_Pose_Invariant_CVPR_2018_paper.pdf",
        "aff": "National University of Singapore; Panasonic R&D Center Singapore; Nanyang Technological University; National University of Singapore, National University of Defense Technology; National University of Singapore, Qihoo 360 AI Institute; National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences",
        "project": "",
        "github": "https://zhaoj9014.github.io/",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Towards Universal Representation for Unseen Action Recognition",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Zhu_Towards_Universal_Representation_CVPR_2018_paper.html",
        "author": "Yi Zhu, Yang Long, Yu Guan, Shawn Newsam, Ling Shao",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Zhu_Towards_Universal_Representation_CVPR_2018_paper.pdf",
        "aff": "University of California, Merced; Inception Institute of Arti\ufb01cial Intelligence (IIAI), Abu Dhabi, UAE.; Open Lab, School of Computing, Newcastle University, UK.",
        "project": "",
        "github": "",
        "arxiv": "1803.08460v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Towards a Mathematical Understanding of the Difficulty in Learning With Feedforward Neural Networks",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Shen_Towards_a_Mathematical_CVPR_2018_paper.html",
        "author": "Hao Shen",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Shen_Towards_a_Mathematical_CVPR_2018_paper.pdf",
        "aff": "fortiss - The Research Institute of the Free State of Bavaria, Germany",
        "project": "",
        "github": "",
        "arxiv": "1611.05827v3",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Tracking Multiple Objects Outside the Line of Sight Using Speckle Imaging",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Smith_Tracking_Multiple_Objects_CVPR_2018_paper.html",
        "author": "Brandon M. Smith, Matthew O'Toole, Mohit Gupta",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Smith_Tracking_Multiple_Objects_CVPR_2018_paper.pdf",
        "aff": "Stanford University; University of Wisconsin-Madison",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Transductive Unbiased Embedding for Zero-Shot Learning",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Song_Transductive_Unbiased_Embedding_CVPR_2018_paper.html",
        "author": "Jie Song, Chengchao Shen, Yezhou Yang, Yang Liu, Mingli Song",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Song_Transductive_Unbiased_Embedding_CVPR_2018_paper.pdf",
        "aff": "College of Computer Science and Technology, Zhejiang University, Hangzhou, China; Alibaba Group, Hangzhou, China; Arizona State University, Tempe, USA",
        "project": "",
        "github": "",
        "arxiv": "1803.11320v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Transferable Joint Attribute-Identity Deep Learning for Unsupervised Person Re-Identification",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Wang_Transferable_Joint_Attribute-Identity_CVPR_2018_paper.html",
        "author": "Jingya Wang, Xiatian Zhu, Shaogang Gong, Wei Li",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Wang_Transferable_Joint_Attribute-Identity_CVPR_2018_paper.pdf",
        "aff": "Vision Semantics Ltd.; Queen Mary University of London",
        "project": "",
        "github": "",
        "arxiv": "1803.09786v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Translating and Segmenting Multimodal Medical Volumes With Cycle- and Shape-Consistency Generative Adversarial Network",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Zhang_Translating_and_Segmenting_CVPR_2018_paper.html",
        "author": "Zizhao Zhang, Lin Yang, Yefeng Zheng",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Zhang_Translating_and_Segmenting_CVPR_2018_paper.pdf",
        "aff": "University of Florida; Medical Imaging Technologies, Siemens Healthcare",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1802.09655",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Transparency by Design: Closing the Gap Between Performance and Interpretability in Visual Reasoning",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Mascharka_Transparency_by_Design_CVPR_2018_paper.html",
        "author": "David Mascharka, Philip Tran, Ryan Soklaski, Arjun Majumdar",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Mascharka_Transparency_by_Design_CVPR_2018_paper.pdf",
        "aff": "MIT Lincoln Laboratory; Planck Aerosystems",
        "project": "",
        "github": "",
        "arxiv": "1803.05268v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Trapping Light for Time of Flight",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Xu_Trapping_Light_for_CVPR_2018_paper.html",
        "author": "Ruilin Xu, Mohit Gupta, Shree K. Nayar",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Xu_Trapping_Light_for_CVPR_2018_paper.pdf",
        "aff": "University of Wisconsin-Madison; Columbia University",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Triplet-Center Loss for Multi-View 3D Object Retrieval",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/He_Triplet-Center_Loss_for_CVPR_2018_paper.html",
        "author": "Xinwei He, Yang Zhou, Zhichao Zhou, Song Bai, Xiang Bai",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/He_Triplet-Center_Loss_for_CVPR_2018_paper.pdf",
        "aff": "Huazhong University of Science and Technology",
        "project": "",
        "github": "",
        "arxiv": "1803.06189v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Trust Your Model: Light Field Depth Estimation With Inline Occlusion Handling",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Schilling_Trust_Your_Model_CVPR_2018_paper.html",
        "author": "Hendrik Schilling, Maximilian Diebold, Carsten Rother, Bernd J\u00e4hne",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Schilling_Trust_Your_Model_CVPR_2018_paper.pdf",
        "aff": "Heidelberg Collaboratory for Image Processing (HCI)",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Two Can Play This Game: Visual Dialog With Discriminative Question Generation and Answering",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Jain_Two_Can_Play_CVPR_2018_paper.html",
        "author": "Unnat Jain, Svetlana Lazebnik, Alexander G. Schwing",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Jain_Two_Can_Play_CVPR_2018_paper.pdf",
        "aff": "UIUC",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1803.11186",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Two-Step Quantization for Low-Bit Neural Networks",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Wang_Two-Step_Quantization_for_CVPR_2018_paper.html",
        "author": "Peisong Wang, Qinghao Hu, Yifan Zhang, Chunjie Zhang, Yang Liu, Jian Cheng",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Wang_Two-Step_Quantization_for_CVPR_2018_paper.pdf",
        "aff": "",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Two-Stream Convolutional Networks for Dynamic Texture Synthesis",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Tesfaldet_Two-Stream_Convolutional_Networks_CVPR_2018_paper.html",
        "author": "Matthew Tesfaldet, Marcus A. Brubaker, Konstantinos G. Derpanis",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Tesfaldet_Two-Stream_Convolutional_Networks_CVPR_2018_paper.pdf",
        "aff": "Department of Computer Science, Ryerson University, Toronto; Department of Electrical Engineering and Computer Science, York University, Toronto",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1706.06982",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "UV-GAN: Adversarial Facial UV Map Completion for Pose-Invariant Face Recognition",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Deng_UV-GAN_Adversarial_Facial_CVPR_2018_paper.html",
        "author": "Jiankang Deng, Shiyang Cheng, Niannan Xue, Yuxiang Zhou, Stefanos Zafeiriou",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Deng_UV-GAN_Adversarial_Facial_CVPR_2018_paper.pdf",
        "aff": "Imperial College London",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1712.04695",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Uncalibrated Photometric Stereo Under Natural Illumination",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Mo_Uncalibrated_Photometric_Stereo_CVPR_2018_paper.html",
        "author": "Zhipeng Mo, Boxin Shi, Feng Lu, Sai-Kit Yeung, Yasuyuki Matsushita",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Mo_Uncalibrated_Photometric_Stereo_CVPR_2018_paper.pdf",
        "aff": "Department of Environmental Studies; Lighting Research Institute",
        "project": "https://www.lightingstudy.com",
        "github": "https://github.com/authorname/lighting-comparison",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Unifying Identification and Context Learning for Person Recognition",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Huang_Unifying_Identification_and_CVPR_2018_paper.html",
        "author": "Qingqiu Huang, Yu Xiong, Dahua Lin",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Huang_Unifying_Identification_and_CVPR_2018_paper.pdf",
        "aff": "CUHK-SenseTime Joint Lab, The Chinese University of Hong Kong",
        "project": "",
        "github": "",
        "arxiv": "1806.03084v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Universal Denoising Networks : A Novel CNN Architecture for Image Denoising",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Lefkimmiatis_Universal_Denoising_Networks_CVPR_2018_paper.html",
        "author": "Stamatios Lefkimmiatis",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Lefkimmiatis_Universal_Denoising_Networks_CVPR_2018_paper.pdf",
        "aff": "Skolkovo Institute of Science and Technology (Skoltech), Moscow, Russia",
        "project": "",
        "github": "",
        "arxiv": "1711.07807v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Unsupervised Correlation Analysis",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Hoshen_Unsupervised_Correlation_Analysis_CVPR_2018_paper.html",
        "author": "Yedid Hoshen, Lior Wolf",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Hoshen_Unsupervised_Correlation_Analysis_CVPR_2018_paper.pdf",
        "aff": "Facebook AI Research and Tel Aviv University; Facebook AI Research",
        "project": "",
        "github": "",
        "arxiv": "1804.00347v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Unsupervised Cross-Dataset Person Re-Identification by Transfer Learning of Spatial-Temporal Patterns",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Lv_Unsupervised_Cross-Dataset_Person_CVPR_2018_paper.html",
        "author": "Jianming Lv, Weihang Chen, Qing Li, Can Yang",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Lv_Unsupervised_Cross-Dataset_Person_CVPR_2018_paper.pdf",
        "aff": "South China University of Technology; City University of Hong Kong",
        "project": "",
        "github": "",
        "arxiv": "1803.07293v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Unsupervised Deep Generative Adversarial Hashing Network",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Dizaji_Unsupervised_Deep_Generative_CVPR_2018_paper.html",
        "author": "Kamran Ghasedi Dizaji, Feng Zheng, Najmeh Sadoughi, Yanhua Yang, Cheng Deng, Heng Huang",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Dizaji_Unsupervised_Deep_Generative_CVPR_2018_paper.pdf",
        "aff": "Xidian University, Xi\u2019an, Shanxi, China; Electrical and Computer Engineering Department, University of Pittsburgh, PA, USA",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Unsupervised Discovery of Object Landmarks as Structural Representations",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Zhang_Unsupervised_Discovery_of_CVPR_2018_paper.html",
        "author": "Yuting Zhang, Yijie Guo, Yixin Jin, Yijun Luo, Zhiyuan He, Honglak Lee",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Zhang_Unsupervised_Discovery_of_CVPR_2018_paper.pdf",
        "aff": "University of Michigan, Ann Arbor; Google Brain",
        "project": "",
        "github": "",
        "arxiv": "1804.04412v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Unsupervised Domain Adaptation With Similarity Learning",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Pinheiro_Unsupervised_Domain_Adaptation_CVPR_2018_paper.html",
        "author": "Pedro O. Pinheiro",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Pinheiro_Unsupervised_Domain_Adaptation_CVPR_2018_paper.pdf",
        "aff": "Element AI, Montreal, QC, Canada",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1711.08995",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Unsupervised Feature Learning via Non-Parametric Instance Discrimination",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Wu_Unsupervised_Feature_Learning_CVPR_2018_paper.html",
        "author": "Zhirong Wu, Yuanjun Xiong, Stella X. Yu, Dahua Lin",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Wu_Unsupervised_Feature_Learning_CVPR_2018_paper.pdf",
        "aff": "Chinese University of Hong Kong; UC Berkeley / ICSI",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1805.01978",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Unsupervised Learning and Segmentation of Complex Activities From Video",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Sener_Unsupervised_Learning_and_CVPR_2018_paper.html",
        "author": "Fadime Sener, Angela Yao",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Sener_Unsupervised_Learning_and_CVPR_2018_paper.pdf",
        "aff": "University of Bonn, Germany",
        "project": "",
        "github": "",
        "arxiv": "1803.09490v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Unsupervised Learning of Depth and Ego-Motion From Monocular Video Using 3D Geometric Constraints",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Mahjourian_Unsupervised_Learning_of_CVPR_2018_paper.html",
        "author": "Reza Mahjourian, Martin Wicke, Anelia Angelova",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Mahjourian_Unsupervised_Learning_of_CVPR_2018_paper.pdf",
        "aff": "University of Texas at Austin, Google Brain; Google Brain",
        "project": "http://sites.google.com/view/vid2depth",
        "github": "",
        "arxiv": "1802.05522v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Unsupervised Learning of Monocular Depth Estimation and Visual Odometry With Deep Feature Reconstruction",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Zhan_Unsupervised_Learning_of_CVPR_2018_paper.html",
        "author": "Huangying Zhan, Ravi Garg, Chamara Saroj Weerasekera, Kejie Li, Harsh Agarwal, Ian Reid",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Zhan_Unsupervised_Learning_of_CVPR_2018_paper.pdf",
        "aff": "Indian Institute of Technology (BHU); The University of Adelaide, Australian Centre for Robotic Vision",
        "project": "",
        "github": "https://github.com/Huangying-Zhan/Depth-VO-Feat",
        "arxiv": "arXiv:1803.03893",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Unsupervised Person Image Synthesis in Arbitrary Poses",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Pumarola_Unsupervised_Person_Image_CVPR_2018_paper.html",
        "author": "Albert Pumarola, Antonio Agudo, Alberto Sanfeliu, Francesc Moreno-Noguer",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Pumarola_Unsupervised_Person_Image_CVPR_2018_paper.pdf",
        "aff": "Institut de Rob `otica i Inform `atica Industrial (CSIC-UPC), 08028, Barcelona, Spain",
        "project": "",
        "github": "",
        "arxiv": "1809.10280v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Unsupervised Sparse Dirichlet-Net for Hyperspectral Image Super-Resolution",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Qu_Unsupervised_Sparse_Dirichlet-Net_CVPR_2018_paper.html",
        "author": "Ying Qu, Hairong Qi, Chiman Kwan",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Qu_Unsupervised_Sparse_Dirichlet-Net_CVPR_2018_paper.pdf",
        "aff": "Applied Research LLC, Rockville, MD; The University of Tennessee, Knoxville, TN",
        "project": "",
        "github": "",
        "arxiv": "1804.05042v3",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Unsupervised Textual Grounding: Linking Words to Image Concepts",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Yeh_Unsupervised_Textual_Grounding_CVPR_2018_paper.html",
        "author": "Raymond A. Yeh, Minh N. Do, Alexander G. Schwing",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Yeh_Unsupervised_Textual_Grounding_CVPR_2018_paper.pdf",
        "aff": "University of Illinois at Urbana-Champaign",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1803.11185",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Unsupervised Training for 3D Morphable Model Regression",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Genova_Unsupervised_Training_for_CVPR_2018_paper.html",
        "author": "Kyle Genova, Forrester Cole, Aaron Maschinot, Aaron Sarna, Daniel Vlasic, William T. Freeman",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Genova_Unsupervised_Training_for_CVPR_2018_paper.pdf",
        "aff": "Princeton University; MIT CSAIL; Google Research",
        "project": "",
        "github": "",
        "arxiv": "1806.06098v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "V2V-PoseNet: Voxel-to-Voxel Prediction Network for Accurate 3D Hand and Human Pose Estimation From a Single Depth Map",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Moon_V2V-PoseNet_Voxel-to-Voxel_Prediction_CVPR_2018_paper.html",
        "author": "Gyeongsik Moon, Ju Yong Chang, Kyoung Mu Lee",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Moon_V2V-PoseNet_Voxel-to-Voxel_Prediction_CVPR_2018_paper.pdf",
        "aff": "Kwangwoon University; ASRI, Seoul National University",
        "project": "",
        "github": "https://github.com/mks0601/V2V-PoseNet_RELEASE",
        "arxiv": "arXiv:1711.07399",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "VITAL: VIsual Tracking via Adversarial Learning",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Song_VITAL_VIsual_Tracking_CVPR_2018_paper.html",
        "author": "Yibing Song, Chao Ma, Xiaohe Wu, Lijun Gong, Linchao Bao, Wangmeng Zuo, Chunhua Shen, Rynson W.H. Lau, Ming-Hsuan Yang",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Song_VITAL_VIsual_Tracking_CVPR_2018_paper.pdf",
        "aff": "Tencent AI Lab; Tencent; City University of Hong Kong; The University of Adelaide; Harbin Institute of Technology; University of California, Merced",
        "project": "https://ybsong00.github.io/cvpr18_tracking/index",
        "github": "",
        "arxiv": "1804.04273v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "VITON: An Image-Based Virtual Try-On Network",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Han_VITON_An_Image-Based_CVPR_2018_paper.html",
        "author": "Xintong Han, Zuxuan Wu, Zhe Wu, Ruichi Yu, Larry S. Davis",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Han_VITON_An_Image-Based_CVPR_2018_paper.pdf",
        "aff": "University of Maryland, College Park",
        "project": "",
        "github": "https://github.com/xthan/VITON",
        "arxiv": "1711.08447v4",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Variational Autoencoders for Deforming 3D Mesh Models",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Tan_Variational_Autoencoders_for_CVPR_2018_paper.html",
        "author": "Qingyang Tan, Lin Gao, Yu-Kun Lai, Shihong Xia",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Tan_Variational_Autoencoders_for_CVPR_2018_paper.pdf",
        "aff": "Beijing Key Laboratory of Mobile Computing and Pervasive Device, Institute of Computing Technology, Chinese Academy of Sciences; School of Computer Science & Informatics, Cardiff University",
        "project": "",
        "github": "",
        "arxiv": "1709.04307v3",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Very Large-Scale Global SfM by Distributed Motion Averaging",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Zhu_Very_Large-Scale_Global_CVPR_2018_paper.html",
        "author": "Siyu Zhu, Runze Zhang, Lei Zhou, Tianwei Shen, Tian Fang, Ping Tan, Long Quan",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Zhu_Very_Large-Scale_Global_CVPR_2018_paper.pdf",
        "aff": "Simon Fraser University; Altizure.com; The Hong Kong University of Science and Technology",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Video Based Reconstruction of 3D People Models",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Alldieck_Video_Based_Reconstruction_CVPR_2018_paper.html",
        "author": "Thiemo Alldieck, Marcus Magnor, Weipeng Xu, Christian Theobalt, Gerard Pons-Moll",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Alldieck_Video_Based_Reconstruction_CVPR_2018_paper.pdf",
        "aff": "Computer Graphics Lab, TU Braunschweig, Germany; Max Planck Institute for Informatics, Saarland Informatics Campus, Germany",
        "project": "",
        "github": "",
        "arxiv": "1803.04758v3",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Video Captioning via Hierarchical Reinforcement Learning",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Wang_Video_Captioning_via_CVPR_2018_paper.html",
        "author": "Xin Wang, Wenhu Chen, Jiawei Wu, Yuan-Fang Wang, William Yang Wang",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Wang_Video_Captioning_via_CVPR_2018_paper.pdf",
        "aff": "University of California, Santa Barbara",
        "project": "",
        "github": "",
        "arxiv": "1711.11135v3",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Video Person Re-Identification With Competitive Snippet-Similarity Aggregation and Co-Attentive Snippet Embedding",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Chen_Video_Person_Re-Identification_CVPR_2018_paper.html",
        "author": "Dapeng Chen, Hongsheng Li, Tong Xiao, Shuai Yi, Xiaogang Wang",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Chen_Video_Person_Re-Identification_CVPR_2018_paper.pdf",
        "aff": "CUHK-SenseTime Joint Lab, The Chinese University of Hong Kong; CUHK-SenseTime Joint Lab, The Chinese University of Hong Kong and School of Software Engineering, Xi\u2019an Jiaotong University; SenseTime Research",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Video Rain Streak Removal by Multiscale Convolutional Sparse Coding",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Li_Video_Rain_Streak_CVPR_2018_paper.html",
        "author": "Minghan Li, Qi Xie, Qian Zhao, Wei Wei, Shuhang Gu, Jing Tao, Deyu Meng",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Li_Video_Rain_Streak_CVPR_2018_paper.pdf",
        "aff": "National Engineering Laboratory for Algorithm and Analysis Technologiy on Big Data and Ministry of Education Key Lab of Intelligent Networks and Network Security, Xian Jiaotong University; Computer Vision Lab, ETH, Zurich",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Video Representation Learning Using Discriminative Pooling",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Wang_Video_Representation_Learning_CVPR_2018_paper.html",
        "author": "Jue Wang, Anoop Cherian, Fatih Porikli, Stephen Gould",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Wang_Video_Representation_Learning_CVPR_2018_paper.pdf",
        "aff": "Australian Centre for Robotic Vision, The Australian National University, Canberra, Australia; Data61/CSIRO, The Australian National University, Canberra, Australia; Australian Centre for Robotic Vision, The Australian National University, Canberra, Australia, MERL Cambridge, MA",
        "project": "",
        "github": "",
        "arxiv": "1803.10628v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "View Extrapolation of Human Body From a Single Image",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Zhu_View_Extrapolation_of_CVPR_2018_paper.html",
        "author": "Hao Zhu, Hao Su, Peng Wang, Xun Cao, Ruigang Yang",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Zhu_View_Extrapolation_of_CVPR_2018_paper.pdf",
        "aff": "Baidu Inc., Beijing, China; National Engineering Laboratory of Deep Learning and Technology and Application, China; University of California, San Diego, CA, USA; University of Kentucky, Lexington, KY, USA; Baidu Inc., Beijing, China; National Engineering Laboratory of Deep Learning and Technology and Application, China; Nanjing University, Nanjing, China; University of Kentucky, Lexington, KY, USA; Nanjing University, Nanjing, China",
        "project": "",
        "github": "",
        "arxiv": "1804.04213v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Viewpoint-Aware Attentive Multi-View Inference for Vehicle Re-Identification",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Zhou_Viewpoint-Aware_Attentive_Multi-View_CVPR_2018_paper.html",
        "author": "Yi Zhou, Ling Shao",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Zhou_Viewpoint-Aware_Attentive_Multi-View_CVPR_2018_paper.pdf",
        "aff": "School of Computing Sciences, University of East Anglia; Inception Institute of Arti\ufb01cial Intelligence (IIAI), Abu Dhabi, UAE",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Viewpoint-Aware Video Summarization",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Kanehira_Viewpoint-Aware_Video_Summarization_CVPR_2018_paper.html",
        "author": "Atsushi Kanehira, Luc Van Gool, Yoshitaka Ushiku, Tatsuya Harada",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Kanehira_Viewpoint-Aware_Video_Summarization_CVPR_2018_paper.pdf",
        "aff": "The University of Tokyo; ETH Z\u00fcrich, KU Leuven; The University of Tokyo, RIKEN",
        "project": "",
        "github": "",
        "arxiv": "1804.02843v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "VirtualHome: Simulating Household Activities via Programs",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Puig_VirtualHome_Simulating_Household_CVPR_2018_paper.html",
        "author": "Xavier Puig, Kevin Ra, Marko Boben, Jiaman Li, Tingwu Wang, Sanja Fidler, Antonio Torralba",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Puig_VirtualHome_Simulating_Household_CVPR_2018_paper.pdf",
        "aff": "MIT; University of Ljubljana; University of Toronto; McGill University",
        "project": "",
        "github": "",
        "arxiv": "1806.07011v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Vision-and-Language Navigation: Interpreting Visually-Grounded Navigation Instructions in Real Environments",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Anderson_Vision-and-Language_Navigation_Interpreting_CVPR_2018_paper.html",
        "author": "Peter Anderson, Qi Wu, Damien Teney, Jake Bruce, Mark Johnson, Niko S\u00fcnderhauf, Ian Reid, Stephen Gould, Anton van den Hengel",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Anderson_Vision-and-Language_Navigation_Interpreting_CVPR_2018_paper.pdf",
        "aff": "University of Adelaide; Australian National University; Queensland University of Technology; Macquarie University",
        "project": "https://bringmeaspoon.org",
        "github": "",
        "arxiv": "1711.07280v3",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Visual Feature Attribution Using Wasserstein GANs",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Baumgartner_Visual_Feature_Attribution_CVPR_2018_paper.html",
        "author": "Christian F. Baumgartner, Lisa M. Koch, Kerem Can Tezcan, Jia Xi Ang, Ender Konukoglu",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Baumgartner_Visual_Feature_Attribution_CVPR_2018_paper.pdf",
        "aff": "Computer Vision and Geometry Group, ETH Zurich; Computer Vision Lab, ETH Zurich",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1711.08998",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Visual Grounding via Accumulated Attention",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Deng_Visual_Grounding_via_CVPR_2018_paper.html",
        "author": "Chaorui Deng, Qi Wu, Qingyao Wu, Fuyuan Hu, Fan Lyu, Mingkui Tan",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Deng_Visual_Grounding_via_CVPR_2018_paper.pdf",
        "aff": "School of Software Engineering, South China University of Technology, China; School of Electronic & Information Engineering, Suzhou University of Science and Technology, China; Australia Centre for Robotic Vision, The University of Adelaide, Australia",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Visual Question Answering With Memory-Augmented Networks",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Ma_Visual_Question_Answering_CVPR_2018_paper.html",
        "author": "Chao Ma, Chunhua Shen, Anthony Dick, Qi Wu, Peng Wang, Anton van den Hengel, Ian Reid",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Ma_Visual_Question_Answering_CVPR_2018_paper.pdf",
        "aff": "Australian Institute for Machine Learning, The University of Adelaide; Australian Centre for Robotic Vision, The University of Adelaide",
        "project": "",
        "github": "",
        "arxiv": "1707.04968v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Visual Question Generation as Dual Task of Visual Question Answering",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Li_Visual_Question_Generation_CVPR_2018_paper.html",
        "author": "Yikang Li, Nan Duan, Bolei Zhou, Xiao Chu, Wanli Ouyang, Xiaogang Wang, Ming Zhou",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Li_Visual_Question_Generation_CVPR_2018_paper.pdf",
        "aff": "Massachusetts Institute of Technology, USA; University of Sydney, Australia; Microsoft Research Asia, China; The Chinese University of Hong Kong, Hong Kong, China",
        "project": "",
        "github": "",
        "arxiv": "1709.07192v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Visual Question Reasoning on General Dependency Tree",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Cao_Visual_Question_Reasoning_CVPR_2018_paper.html",
        "author": "Qingxing Cao, Xiaodan Liang, Bailing Li, Guanbin Li, Liang Lin",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Cao_Visual_Question_Reasoning_CVPR_2018_paper.pdf",
        "aff": "School of Data and Computer Science, Sun Yat-sen University, China",
        "project": "",
        "github": "",
        "arxiv": "1804.00105v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Visual to Sound: Generating Natural Sound for Videos in the Wild",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Zhou_Visual_to_Sound_CVPR_2018_paper.html",
        "author": "Yipin Zhou, Zhaowen Wang, Chen Fang, Trung Bui, Tamara L. Berg",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Zhou_Visual_to_Sound_CVPR_2018_paper.pdf",
        "aff": "University of North Carolina at Chapel Hill; Adobe Research",
        "project": "",
        "github": "",
        "arxiv": "1712.01393v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "VizWiz Grand Challenge: Answering Visual Questions From Blind People",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Gurari_VizWiz_Grand_Challenge_CVPR_2018_paper.html",
        "author": "Danna Gurari, Qing Li, Abigale J. Stangl, Anhong Guo, Chi Lin, Kristen Grauman, Jiebo Luo, Jeffrey P. Bigham",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Gurari_VizWiz_Grand_Challenge_CVPR_2018_paper.pdf",
        "aff": "University of Science and Technology of China; University of Texas at Austin; University of Colorado Boulder; University of Rochester; Carnegie Mellon University",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1802.08218",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Zhou_VoxelNet_End-to-End_Learning_CVPR_2018_paper.html",
        "author": "Yin Zhou, Oncel Tuzel",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Zhou_VoxelNet_End-to-End_Learning_CVPR_2018_paper.pdf",
        "aff": "Apple Inc",
        "project": "",
        "github": "",
        "arxiv": "1711.06396v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "W2F: A Weakly-Supervised to Fully-Supervised Framework for Object Detection",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Zhang_W2F_A_Weakly-Supervised_CVPR_2018_paper.html",
        "author": "Yongqiang Zhang, Yancheng Bai, Mingli Ding, Yongqiang Li, Bernard Ghanem",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Zhang_W2F_A_Weakly-Supervised_CVPR_2018_paper.pdf",
        "aff": "Visual Computing Center, King Abdullah University of Science and Technology (KAUST); Visual Computing Center, King Abdullah University of Science and Technology (KAUST) and School of Electrical Engineering and Automation, Harbin Institute of Technology (HIT); School of Electrical Engineering and Automation, Harbin Institute of Technology (HIT); Visual Computing Center, King Abdullah University of Science and Technology (KAUST) and Institute of Software, Chinese Academy of Sciences (CAS)",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "WILDTRACK: A Multi-Camera HD Dataset for Dense Unscripted Pedestrian Detection",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Chavdarova_WILDTRACK_A_Multi-Camera_CVPR_2018_paper.html",
        "author": "Tatjana Chavdarova, Pierre Baqu\u00e9, St\u00e9phane Bouquet, Andrii Maksai, Cijo Jose, Timur Bagautdinov, Louis Lettry, Pascal Fua, Luc Van Gool, Fran\u00e7ois Fleuret",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Chavdarova_WILDTRACK_A_Multi-Camera_CVPR_2018_paper.pdf",
        "aff": "Machine Learning group, Idiap Research Institute & Ecole Polytechnique Federale de Lausanne; CVLab, Ecole Polytechnique Federale de Lausanne; Computer Vision Lab, ETH Zurich",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Wasserstein Introspective Neural Networks",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Lee_Wasserstein_Introspective_Neural_CVPR_2018_paper.html",
        "author": "Kwonjoon Lee, Weijian Xu, Fan Fan, Zhuowen Tu",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Lee_Wasserstein_Introspective_Neural_CVPR_2018_paper.pdf",
        "aff": "University of California San Diego",
        "project": "",
        "github": "https://github.com/kjunelee/WINN",
        "arxiv": "1711.08875v5",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Weakly Supervised Action Localization by Sparse Temporal Pooling Network",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Nguyen_Weakly_Supervised_Action_CVPR_2018_paper.html",
        "author": "Phuc Nguyen, Ting Liu, Gautam Prasad, Bohyung Han",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Nguyen_Weakly_Supervised_Action_CVPR_2018_paper.pdf",
        "aff": "University of California, Irvine, CA, USA; Google, Venice, CA, USA; Seoul National University, Seoul, Korea",
        "project": "",
        "github": "",
        "arxiv": "1712.05080v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Weakly Supervised Coupled Networks for Visual Sentiment Analysis",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Yang_Weakly_Supervised_Coupled_CVPR_2018_paper.html",
        "author": "Jufeng Yang, Dongyu She, Yu-Kun Lai, Paul L. Rosin, Ming-Hsuan Yang",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Yang_Weakly_Supervised_Coupled_CVPR_2018_paper.pdf",
        "aff": "School of Engineering, University of California, Merced, USA; College of Computer and Control Engineering, Nankai University, Tianjin, China; School of Computer Science and Informatics, Cardiff University, Cardiff, UK",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Weakly Supervised Facial Action Unit Recognition Through Adversarial Training",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Peng_Weakly_Supervised_Facial_CVPR_2018_paper.html",
        "author": "Guozhu Peng, Shangfei Wang",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Peng_Weakly_Supervised_Facial_CVPR_2018_paper.pdf",
        "aff": "University of Science and Technology of China, Hefei, Anhui, China",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Weakly Supervised Instance Segmentation Using Class Peak Response",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Zhou_Weakly_Supervised_Instance_CVPR_2018_paper.html",
        "author": "Yanzhao Zhou, Yi Zhu, Qixiang Ye, Qiang Qiu, Jianbin Jiao",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Zhou_Weakly_Supervised_Instance_CVPR_2018_paper.pdf",
        "aff": "University of Chinese Academy of Sciences; Duke University",
        "project": "",
        "github": "yzhou.work/PRM",
        "arxiv": "1804.00880v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Weakly Supervised Learning of Single-Cell Feature Embeddings",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Caicedo_Weakly_Supervised_Learning_CVPR_2018_paper.html",
        "author": "Juan C. Caicedo, Claire McQuin, Allen Goodman, Shantanu Singh, Anne E. Carpenter",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Caicedo_Weakly_Supervised_Learning_CVPR_2018_paper.pdf",
        "aff": "Broad Institute of MIT and Harvard",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Weakly Supervised Phrase Localization With Multi-Scale Anchored Transformer Network",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Zhao_Weakly_Supervised_Phrase_CVPR_2018_paper.html",
        "author": "Fang Zhao, Jianshu Li, Jian Zhao, Jiashi Feng",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Zhao_Weakly_Supervised_Phrase_CVPR_2018_paper.pdf",
        "aff": "National University of Singapore",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Weakly and Semi Supervised Human Body Part Parsing via Pose-Guided Knowledge Transfer",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Fang_Weakly_and_Semi_CVPR_2018_paper.html",
        "author": "Hao-Shu Fang, Guansong Lu, Xiaolin Fang, Jianwen Xie, Yu-Wing Tai, Cewu Lu",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Fang_Weakly_and_Semi_CVPR_2018_paper.pdf",
        "aff": "",
        "project": "",
        "github": "",
        "arxiv": "1805.04310v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Weakly-Supervised Action Segmentation With Iterative Soft Boundary Assignment",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Ding_Weakly-Supervised_Action_Segmentation_CVPR_2018_paper.html",
        "author": "Li Ding, Chenliang Xu",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Ding_Weakly-Supervised_Action_Segmentation_CVPR_2018_paper.pdf",
        "aff": "Massachusetts Institute of Technology; University of Rochester",
        "project": "",
        "github": "",
        "arxiv": "1803.10699v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Weakly-Supervised Deep Convolutional Neural Network Learning for Facial Action Unit Intensity Estimation",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Zhang_Weakly-Supervised_Deep_Convolutional_CVPR_2018_paper.html",
        "author": "Yong Zhang, Weiming Dong, Bao-Gang Hu, Qiang Ji",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Zhang_Weakly-Supervised_Deep_Convolutional_CVPR_2018_paper.pdf",
        "aff": "Rensselaer Polytechnic Institute; National Laboratory of Pattern Recognition, CASIA; National Laboratory of Pattern Recognition, CASIA; University of Chinese Academy of Sciences",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Weakly-Supervised Semantic Segmentation Network With Deep Seeded Region Growing",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Huang_Weakly-Supervised_Semantic_Segmentation_CVPR_2018_paper.html",
        "author": "Zilong Huang, Xinggang Wang, Jiasi Wang, Wenyu Liu, Jingdong Wang",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Huang_Weakly-Supervised_Semantic_Segmentation_CVPR_2018_paper.pdf",
        "aff": "School of Electronic Information and Communications, Huazhong University of Science and Technology; Microsoft Research Asia",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Weakly-Supervised Semantic Segmentation by Iteratively Mining Common Object Features",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Wang_Weakly-Supervised_Semantic_Segmentation_CVPR_2018_paper.html",
        "author": "Xiang Wang, Shaodi You, Xi Li, Huimin Ma",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Wang_Weakly-Supervised_Semantic_Segmentation_CVPR_2018_paper.pdf",
        "aff": "Department of Electronic Engineering, Tsinghua University; DATA61-CSIRO, Australian National University",
        "project": "",
        "github": "",
        "arxiv": "1806.04659v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Webly Supervised Learning Meets Zero-Shot Learning: A Hybrid Approach for Fine-Grained Classification",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Niu_Webly_Supervised_Learning_CVPR_2018_paper.html",
        "author": "Li Niu, Ashok Veeraraghavan, Ashutosh Sabharwal",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Niu_Webly_Supervised_Learning_CVPR_2018_paper.pdf",
        "aff": "Department of Electrical and Computer Engineering, Rice University",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "What Do Deep Networks Like to See?",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Palacio_What_Do_Deep_CVPR_2018_paper.html",
        "author": "Sebastian Palacio, Joachim Folz, J\u00f6rn Hees, Federico Raue, Damian Borth, Andreas Dengel",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Palacio_What_Do_Deep_CVPR_2018_paper.pdf",
        "aff": "German Research Center for Arti\ufb01cial Intelligence (DFKI); TU Kaiserslautern",
        "project": "",
        "github": "",
        "arxiv": "1803.08337v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "What Have We Learned From Deep Representations for Action Recognition?",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Feichtenhofer_What_Have_We_CVPR_2018_paper.html",
        "author": "Christoph Feichtenhofer, Axel Pinz, Richard P. Wildes, Andrew Zisserman",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Feichtenhofer_What_Have_We_CVPR_2018_paper.pdf",
        "aff": "TU Graz; University of Oxford; York University, Toronto",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "What Makes a Video a Video: Analyzing Temporal Information in Video Understanding Models and Datasets",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Huang_What_Makes_a_CVPR_2018_paper.html",
        "author": "De-An Huang, Vignesh Ramanathan, Dhruv Mahajan, Lorenzo Torresani, Manohar Paluri, Li Fei-Fei, Juan Carlos Niebles",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Huang_What_Makes_a_CVPR_2018_paper.pdf",
        "aff": "Facebook; Stanford University; Dartmouth College",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "When Will You Do What? - Anticipating Temporal Occurrences of Activities",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Abu_Farha_When_Will_You_CVPR_2018_paper.html",
        "author": "Yazan Abu Farha, Alexander Richard, Juergen Gall",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Abu_Farha_When_Will_You_CVPR_2018_paper.pdf",
        "aff": "University of Bonn, Germany",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Where and Why Are They Looking? Jointly Inferring Human Attention and Intentions in Complex Tasks",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Wei_Where_and_Why_CVPR_2018_paper.html",
        "author": "Ping Wei, Yang Liu, Tianmin Shu, Nanning Zheng, Song-Chun Zhu",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Wei_Where_and_Why_CVPR_2018_paper.pdf",
        "aff": "Center for Vision, Cognition, Learning, and Autonomy, University of California, Los Angeles; School of Electronic and Information Engineering, Xi\u2019an Jiaotong University, China",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Who Let the Dogs Out? Modeling Dog Behavior From Visual Data",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Ehsani_Who_Let_the_CVPR_2018_paper.html",
        "author": "Kiana Ehsani, Hessam Bagherinezhad, Joseph Redmon, Roozbeh Mottaghi, Ali Farhadi",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Ehsani_Who_Let_the_CVPR_2018_paper.pdf",
        "aff": "University of Washington, Allen Institute for AI (AI2); University of Washington; Allen Institute for AI (AI2)",
        "project": "",
        "github": "",
        "arxiv": "1803.10827v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Who's Better? Who's Best? Pairwise Deep Ranking for Skill Determination",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Doughty_Whos_Better_Whos_CVPR_2018_paper.html",
        "author": "Hazel Doughty, Dima Damen, Walterio Mayol-Cuevas",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Doughty_Whos_Better_Whos_CVPR_2018_paper.pdf",
        "aff": "University of Bristol, Bristol, UK",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Wide Compression: Tensor Ring Nets",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Wang_Wide_Compression_Tensor_CVPR_2018_paper.html",
        "author": "Wenqi Wang, Yifan Sun, Brian Eriksson, Wenlin Wang, Vaneet Aggarwal",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Wang_Wide_Compression_Tensor_CVPR_2018_paper.pdf",
        "aff": "Purdue University; Technicolor Research; Adobe; Duke University",
        "project": "",
        "github": "",
        "arxiv": "1802.09052v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Wing Loss for Robust Facial Landmark Localisation With Convolutional Neural Networks",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Feng_Wing_Loss_for_CVPR_2018_paper.html",
        "author": "Zhen-Hua Feng, Josef Kittler, Muhammad Awais, Patrik Huber, Xiao-Jun Wu",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Feng_Wing_Loss_for_CVPR_2018_paper.pdf",
        "aff": "Centre for Vision, Speech and Signal Processing, University of Surrey, Guildford GU2 7XH, UK; School of IoT Engineering, Jiangnan University, Wuxi 214122, China",
        "project": "",
        "github": "",
        "arxiv": "1711.06753v5",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Wrapped Gaussian Process Regression on Riemannian Manifolds",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Mallasto_Wrapped_Gaussian_Process_CVPR_2018_paper.html",
        "author": "Anton Mallasto, Aasa Feragen",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Mallasto_Wrapped_Gaussian_Process_CVPR_2018_paper.pdf",
        "aff": "Department of Computer Science, University of Copenhagen",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Zero-Shot Kernel Learning",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Zhang_Zero-Shot_Kernel_Learning_CVPR_2018_paper.html",
        "author": "Hongguang Zhang, Piotr Koniusz",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Zhang_Zero-Shot_Kernel_Learning_CVPR_2018_paper.pdf",
        "aff": "Data61/CSIRO, Australian National University",
        "project": "",
        "github": "",
        "arxiv": "1802.01279v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Zero-Shot Recognition via Semantic Embeddings and Knowledge Graphs",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Wang_Zero-Shot_Recognition_via_CVPR_2018_paper.html",
        "author": "Xiaolong Wang, Yufei Ye, Abhinav Gupta",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Wang_Zero-Shot_Recognition_via_CVPR_2018_paper.pdf",
        "aff": "The Robotics Institute, Carnegie Mellon University",
        "project": "",
        "github": "",
        "arxiv": "1803.08035v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Zero-Shot Sketch-Image Hashing",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Shen_Zero-Shot_Sketch-Image_Hashing_CVPR_2018_paper.html",
        "author": "Yuming Shen, Li Liu, Fumin Shen, Ling Shao",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Shen_Zero-Shot_Sketch-Image_Hashing_CVPR_2018_paper.pdf",
        "aff": "Inception Institute of Arti\ufb01cial Intelligence (IIAI), Abu Dhabi, UAE; School of Computing Sciences, University of East Anglia, Norwich, UK; School of Computing Sciences, University of East Anglia, Norwich, UK; Center for Future Media, University of Electronic Science and Technology of China, China; Inception Institute of Arti\ufb01cial Intelligence (IIAI), Abu Dhabi, UAE",
        "project": "",
        "github": "",
        "arxiv": "1803.02284v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Zero-Shot Visual Recognition Using Semantics-Preserving Adversarial Embedding Networks",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Chen_Zero-Shot_Visual_Recognition_CVPR_2018_paper.html",
        "author": "Long Chen, Hanwang Zhang, Jun Xiao, Wei Liu, Shih-Fu Chang",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Chen_Zero-Shot_Visual_Recognition_CVPR_2018_paper.pdf",
        "aff": "Tencent AI Lab; Nanyang Technological University; Columbia University; Zhejiang University",
        "project": "",
        "github": "",
        "arxiv": "1712.01928v2",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Zigzag Learning for Weakly Supervised Object Detection",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Zhang_Zigzag_Learning_for_CVPR_2018_paper.html",
        "author": "Xiaopeng Zhang, Jiashi Feng, Hongkai Xiong, Qi Tian",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Zhang_Zigzag_Learning_for_CVPR_2018_paper.pdf",
        "aff": "University of Texas at San Antonio; National University of Singapore; Shanghai Jiao Tong University",
        "project": "",
        "github": "",
        "arxiv": "1804.09466v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Zoom and Learn: Generalizing Deep Stereo Matching to Novel Domains",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Pang_Zoom_and_Learn_CVPR_2018_paper.html",
        "author": "Jiahao Pang, Wenxiu Sun, Chengxi Yang, Jimmy Ren, Ruichao Xiao, Jin Zeng, Liang Lin",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Pang_Zoom_and_Learn_CVPR_2018_paper.pdf",
        "aff": "SenseTime Research, Sun Yat-sen University; SenseTime Research",
        "project": "",
        "github": "",
        "arxiv": "1803.06641v1",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "pOSE: Pseudo Object Space Error for Initialization-Free Bundle Adjustment",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Hong_pOSE_Pseudo_Object_CVPR_2018_paper.html",
        "author": "Je Hyeong Hong, Christopher Zach",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Hong_pOSE_Pseudo_Object_CVPR_2018_paper.pdf",
        "aff": "Toshiba Research Europe; University of Cambridge",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "xUnit: Learning a Spatial Activation Function for Efficient Image Restoration",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Kligvasser_xUnit_Learning_a_CVPR_2018_paper.html",
        "author": "Idan Kligvasser, Tamar Rott Shaham, Tomer Michaeli",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Kligvasser_xUnit_Learning_a_CVPR_2018_paper.pdf",
        "aff": "Technion\u2013Israel Institute of Technology, Haifa, Israel",
        "project": "",
        "github": "",
        "arxiv": "arXiv:1711.06445",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "\u201cLearning-Compression\u201d Algorithms for Neural Net Pruning",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Carreira-Perpinan_Learning-Compression_Algorithms_for_CVPR_2018_paper.html",
        "author": "Miguel \u00c1. Carreira-Perpi\u00f1\u00e1n, Yerlan Idelbayev",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Carreira-Perpinan_Learning-Compression_Algorithms_for_CVPR_2018_paper.pdf",
        "aff": "EECS, University of California, Merced",
        "project": "http://eecs.ucmerced.edu",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "\u201cZero-Shot\u201d Super-Resolution Using Deep Internal Learning",
        "site": "https://openaccess.thecvf.com/content_cvpr_2018/html/Shocher_Zero-Shot_Super-Resolution_Using_CVPR_2018_paper.html",
        "author": "Assaf Shocher, Nadav Cohen, Michal Irani",
        "pdf": "https://openaccess.thecvf.com/content_cvpr_2018/papers/Shocher_Zero-Shot_Super-Resolution_Using_CVPR_2018_paper.pdf",
        "aff": "Dept. of Computer Science and Applied Math, The Weizmann Institute of Science, Israel; School of Mathematics, Institute for Advanced Study, Princeton, New Jersey",
        "project": "http://www.wisdom.weizmann.ac.il/~vision/zssr/",
        "github": "",
        "arxiv": "1712.06087v1",
        "track": "main",
        "status": "Poster"
    }
]