wacv/wacv2021.json

[
    {
        "title": "2D to 3D Medical Image Colorization",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Mathur_2D_to_3D_Medical_Image_Colorization_WACV_2021_paper.html",
        "author": "Aradhya Neeraj Mathur, Apoorv Khattar, Ojaswa Sharma",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Mathur_2D_to_3D_Medical_Image_Colorization_WACV_2021_paper.pdf",
        "aff": "IIITD",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "3D Dense Geometry-Guided Facial Expression Synthesis by Adversarial Learning",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Bodur_3D_Dense_Geometry-Guided_Facial_Expression_Synthesis_by_Adversarial_Learning_WACV_2021_paper.html",
        "author": "Rumeysa Bodur, Binod Bhattarai, Tae-Kyun Kim",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Bodur_3D_Dense_Geometry-Guided_Facial_Expression_Synthesis_by_Adversarial_Learning_WACV_2021_paper.pdf",
        "aff": "Imperial College London, UK; Imperial College London, UK and KAIST, South Korea",
        "project": "",
        "github": "",
        "arxiv": "2009.14798",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "3D Human Pose and Shape Estimation Through Collaborative Learning and Multi-View Model-Fitting",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Li_3D_Human_Pose_and_Shape_Estimation_Through_Collaborative_Learning_and_WACV_2021_paper.html",
        "author": "Zhongguo Li, Magnus Oskarsson, Anders Heyden",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Li_3D_Human_Pose_and_Shape_Estimation_Through_Collaborative_Learning_and_WACV_2021_paper.pdf",
        "aff": "Centre for Mathematical Sciences, Lund University",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "3DPoseLite: A Compact 3D Pose Estimation Using Node Embeddings",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Dani_3DPoseLite_A_Compact_3D_Pose_Estimation_Using_Node_Embeddings_WACV_2021_paper.html",
        "author": "Meghal Dani, Karan Narain, Ramya Hebbalaguppe",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Dani_3DPoseLite_A_Compact_3D_Pose_Estimation_Using_Node_Embeddings_WACV_2021_paper.pdf",
        "aff": "TCS Research, New Delhi",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "A Deep Temporal Fusion Framework for Scene Flow Using a Learnable Motion Model and Occlusions",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Schuster_A_Deep_Temporal_Fusion_Framework_for_Scene_Flow_Using_a_WACV_2021_paper.html",
        "author": "Rene Schuster, Christian Unger, Didier Stricker",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Schuster_A_Deep_Temporal_Fusion_Framework_for_Scene_Flow_Using_a_WACV_2021_paper.pdf",
        "aff": "DFKI - German Research Center for Arti\ufb01cial Intelligence; BMW Group",
        "project": "",
        "github": "",
        "arxiv": "2011.01603",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "A Deflation Based Fast and Robust Preconditioner for Bundle Adjustment",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Das_A_Deflation_Based_Fast_and_Robust_Preconditioner_for_Bundle_Adjustment_WACV_2021_paper.html",
        "author": "Shrutimoy Das, Siddhant Katyan, Pawan Kumar",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Das_A_Deflation_Based_Fast_and_Robust_Preconditioner_for_Bundle_Adjustment_WACV_2021_paper.pdf",
        "aff": "International Institute of Information Technology, Hyderabad",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "A Large-Scale, Time-Synchronized Visible and Thermal Face Dataset",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Poster_A_Large-Scale_Time-Synchronized_Visible_and_Thermal_Face_Dataset_WACV_2021_paper.html",
        "author": "Domenick Poster, Matthew Thielke, Robert Nguyen, Srinivasan Rajaraman, Xing Di, Cedric Nimpa Fondje, Vishal M. Patel, Nathaniel J. Short, Benjamin S. Riggan, Nasser M. Nasrabadi, Shuowen Hu",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Poster_A_Large-Scale_Time-Synchronized_Visible_and_Thermal_Face_Dataset_WACV_2021_paper.pdf",
        "aff": "Johns Hopkins University; West Virginia University; DEVCOM Army Research Laboratory, Johns Hopkins University; University of Nebraska-Lincoln; DEVCOM Army Research Laboratory; DEVCOM Army Research Laboratory, Booz Allen Hamilton",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "A Learning-Based Approach to Parametric Rotoscoping of Multi-Shape Systems",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Bermudez_A_Learning-Based_Approach_to_Parametric_Rotoscoping_of_Multi-Shape_Systems_WACV_2021_paper.html",
        "author": "Luis Bermudez, Nadine Dabby, Yingxi Adelle Lin, Sara Hilmarsdottir, Narayan Sundararajan, Swarnendu Kar",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Bermudez_A_Learning-Based_Approach_to_Parametric_Rotoscoping_of_Multi-Shape_Systems_WACV_2021_paper.pdf",
        "aff": "Intel Corporation",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "A Multi-Class Hinge Loss for Conditional GANs",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Kavalerov_A_Multi-Class_Hinge_Loss_for_Conditional_GANs_WACV_2021_paper.html",
        "author": "Ilya Kavalerov, Wojciech Czaja, Rama Chellappa",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Kavalerov_A_Multi-Class_Hinge_Loss_for_Conditional_GANs_WACV_2021_paper.pdf",
        "aff": "Johns Hopkins University, Baltimore; University of Maryland, College Park",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "A Multi-Task Learning Approach for Human Activity Segmentation and Ergonomics Risk Assessment",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Parsa_A_Multi-Task_Learning_Approach_for_Human_Activity_Segmentation_and_Ergonomics_WACV_2021_paper.html",
        "author": "Behnoosh Parsa, Ashis G. Banerjee",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Parsa_A_Multi-Task_Learning_Approach_for_Human_Activity_Segmentation_and_Ergonomics_WACV_2021_paper.pdf",
        "aff": "University of Washington",
        "project": "",
        "github": "",
        "arxiv": "2008.03014",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "A Pose Proposal and Refinement Network for Better 6D Object Pose Estimation",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Trabelsi_A_Pose_Proposal_and_Refinement_Network_for_Better_6D_Object_WACV_2021_paper.html",
        "author": "Ameni Trabelsi, Mohamed Chaabane, Nathaniel Blanchard, Ross Beveridge",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Trabelsi_A_Pose_Proposal_and_Refinement_Network_for_Better_6D_Object_WACV_2021_paper.pdf",
        "aff": "Department of Computer Science, Colorado State University",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "A Robust and Efficient Framework for Sports-Field Registration",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Nie_A_Robust_and_Efficient_Framework_for_Sports-Field_Registration_WACV_2021_paper.html",
        "author": "Xiaohan Nie, Shixing Chen, Raffay Hamid",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Nie_A_Robust_and_Efficient_Framework_for_Sports-Field_Registration_WACV_2021_paper.pdf",
        "aff": "Amazon Prime Video",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "A Unified Framework for Compressive Video Recovery From Coded Exposure Techniques",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Shedligeri_A_Unified_Framework_for_Compressive_Video_Recovery_From_Coded_Exposure_WACV_2021_paper.html",
        "author": "Prasan Shedligeri, Anupama S, Kaushik Mitra",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Shedligeri_A_Unified_Framework_for_Compressive_Video_Recovery_From_Coded_Exposure_WACV_2021_paper.pdf",
        "aff": "Dept. of EE, IIT Madras, Chennai, India; Qualcomm India, Bangalore, India",
        "project": "",
        "github": "",
        "arxiv": "2011.05532",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "A Variational Information Bottleneck Based Method to Compress Sequential Networks for Human Action Recognition",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Srivastava_A_Variational_Information_Bottleneck_Based_Method_to_Compress_Sequential_Networks_WACV_2021_paper.html",
        "author": "Ayush Srivastava, Oshin Dutta, Jigyasa Gupta, Sumeet Agarwal, Prathosh AP",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Srivastava_A_Variational_Information_Bottleneck_Based_Method_to_Compress_Sequential_Networks_WACV_2021_paper.pdf",
        "aff": "Indian Institute of Technology Delhi; Samsung R&D Institute India - Delhi",
        "project": "",
        "github": "",
        "arxiv": "2010.01343",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "A Vector-Based Representation to Enhance Head Pose Estimation",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Chu_A_Vector-Based_Representation_to_Enhance_Head_Pose_Estimation_WACV_2021_paper.html",
        "author": "Zhiwen Cao, Zongcheng Chu, Dongfang Liu, Yingjie Chen",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Chu_A_Vector-Based_Representation_to_Enhance_Head_Pose_Estimation_WACV_2021_paper.pdf",
        "aff": "Department of Computer Graphics Technology, Purdue University, West Lafayette, 47907, USA",
        "project": "",
        "github": "",
        "arxiv": "2010.07184",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "A Weakly Supervised Consistency-Based Learning Method for COVID-19 Segmentation in CT Images",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Laradji_A_Weakly_Supervised_Consistency-Based_Learning_Method_for_COVID-19_Segmentation_in_WACV_2021_paper.html",
        "author": "Issam Laradji, Pau Rodriguez, Oscar Manas, Keegan Lensink, Marco Law, Lironne Kurzman, William Parker, David Vazquez, Derek Nowrouzezahrai",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Laradji_A_Weakly_Supervised_Consistency-Based_Learning_Method_for_COVID-19_Segmentation_in_WACV_2021_paper.pdf",
        "aff": "Element AI; McGill University; SapienML, University of British Columbia; Element AI, McGill University; University of British Columbia; Xtract AI, University of British Columbia; Element AI, Universitat Polit\u00e8cnica de Catalunya",
        "project": "",
        "github": "https://github.com/IssamLaradji/covid19_weak_supervision",
        "arxiv": "2007.02180",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "ADA-AT/DT: An Adversarial Approach for Cross-Domain and Cross-Task Knowledge Transfer",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Chavhan_ADA-ATDT_An_Adversarial_Approach_for_Cross-Domain_and_Cross-Task_Knowledge_Transfer_WACV_2021_paper.html",
        "author": "Ruchika Chavhan, Ankit Jha, Biplab Banerjee, Subhasis Chaudhuri",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Chavhan_ADA-ATDT_An_Adversarial_Approach_for_Cross-Domain_and_Cross-Task_Knowledge_Transfer_WACV_2021_paper.pdf",
        "aff": "Indian Institute of Technology Bombay, India",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "AI on the Bog: Monitoring and Evaluating Cranberry Crop Risk",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Akiva_AI_on_the_Bog_Monitoring_and_Evaluating_Cranberry_Crop_Risk_WACV_2021_paper.html",
        "author": "Peri Akiva, Benjamin Planche, Aditi Roy, Kristin Dana, Peter Oudemans, Michael Mars",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Akiva_AI_on_the_Bog_Monitoring_and_Evaluating_Cranberry_Crop_Risk_WACV_2021_paper.pdf",
        "aff": "Siemens Corporate Technology; Department of Plant Biology, Rutgers University; Department of Computer and Electrical Engineering, Rutgers University",
        "project": "",
        "github": "",
        "arxiv": "2011.04064",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "ATM: Attentional Text Matting",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Kang_ATM_Attentional_Text_Matting_WACV_2021_paper.html",
        "author": "Peng Kang, Jianping Zhang, Chen Ma, Guiling Sun",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Kang_ATM_Attentional_Text_Matting_WACV_2021_paper.pdf",
        "aff": "Northwestern University; McGill University; Nankai University",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "AVGZSLNet: Audio-Visual Generalized Zero-Shot Learning by Reconstructing Label Features From Multi-Modal Embeddings",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Mazumder_AVGZSLNet_Audio-Visual_Generalized_Zero-Shot_Learning_by_Reconstructing_Label_Features_From_WACV_2021_paper.html",
        "author": "Pratik Mazumder, Pravendra Singh, Kranti Kumar Parida, Vinay P. Namboodiri",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Mazumder_AVGZSLNet_Audio-Visual_Generalized_Zero-Shot_Learning_by_Reconstructing_Label_Features_From_WACV_2021_paper.pdf",
        "aff": "University of Bath, United Kingdom; Department of Computer Science and Engineering, IIT Kanpur, India",
        "project": "",
        "github": "",
        "arxiv": "2005.13402",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Accelerated WGAN Update Strategy With Loss Change Rate Balancing",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Ouyang_Accelerated_WGAN_Update_Strategy_With_Loss_Change_Rate_Balancing_WACV_2021_paper.html",
        "author": "Xu Ouyang, Ying Chen, Gady Agam",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Ouyang_Accelerated_WGAN_Update_Strategy_With_Loss_Change_Rate_Balancing_WACV_2021_paper.pdf",
        "aff": "Illinois Institute of Technology",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Action Duration Prediction for Segment-Level Alignment of Weakly-Labeled Videos",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Ghoddoosian_Action_Duration_Prediction_for_Segment-Level_Alignment_of_Weakly-Labeled_Videos_WACV_2021_paper.html",
        "author": "Reza Ghoddoosian, Saif Sayed, Vassilis Athitsos",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Ghoddoosian_Action_Duration_Prediction_for_Segment-Level_Alignment_of_Weakly-Labeled_Videos_WACV_2021_paper.pdf",
        "aff": "Vision-Learning-Mining Lab, University of Texas at Arlington",
        "project": "",
        "github": "https://github.com/rezaghoddoosian/DurNet",
        "arxiv": "2011.10190",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Active Latent Space Shape Model: A Bayesian Treatment of Shape Model Adaptation With an Application to Psoriatic Arthritis Radiographs",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Rambojun_Active_Latent_Space_Shape_Model_A_Bayesian_Treatment_of_Shape_WACV_2021_paper.html",
        "author": "Adwaye Rambojun, William Tillett, Tony Shardlow, Neill D. F. Campbell",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Rambojun_Active_Latent_Space_Shape_Model_A_Bayesian_Treatment_of_Shape_WACV_2021_paper.pdf",
        "aff": "University of Bath, Royal National Hospital for Rheumatic Diseases; University of Bath",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Active Learning for Bayesian 3D Hand Pose Estimation",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Caramalau_Active_Learning_for_Bayesian_3D_Hand_Pose_Estimation_WACV_2021_paper.html",
        "author": "Razvan Caramalau, Binod Bhattarai, Tae-Kyun Kim",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Caramalau_Active_Learning_for_Bayesian_3D_Hand_Pose_Estimation_WACV_2021_paper.pdf",
        "aff": "Imperial College London, UK; Imperial College London, UK and KAIST, South Korea",
        "project": "",
        "github": "https://github.com/razvancaramalau/al_bhpe",
        "arxiv": "2010.00694",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Adaptiope: A Modern Benchmark for Unsupervised Domain Adaptation",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Ringwald_Adaptiope_A_Modern_Benchmark_for_Unsupervised_Domain_Adaptation_WACV_2021_paper.html",
        "author": "Tobias Ringwald, Rainer Stiefelhagen",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Ringwald_Adaptiope_A_Modern_Benchmark_for_Unsupervised_Domain_Adaptation_WACV_2021_paper.pdf",
        "aff": "Karlsruhe Institute of Technology",
        "project": "",
        "github": "https://gitlab.com/tringwald/adaptiope",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Adaptive Multiplane Image Generation From a Single Internet Picture",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Luvizon_Adaptive_Multiplane_Image_Generation_From_a_Single_Internet_Picture_WACV_2021_paper.html",
        "author": "Diogo C. Luvizon, Gustavo Sutter P. Carvalho, Andreza A. dos Santos, Jhonatas S. Conceicao, Jose L. Flores-Campana, Luis G. L. Decker, Marcos R. Souza, Helio Pedrini, Antonio Joia, Otavio A. B. Penatti",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Luvizon_Adaptive_Multiplane_Image_Generation_From_a_Single_Internet_Picture_WACV_2021_paper.pdf",
        "aff": "AI R&D Lab, Samsung R&D Institute Brazil, Campinas, SP, 13097-160, Brazil; AI R&D Lab, Samsung R&D Institute Brazil, Campinas, SP, 13097-160, Brazil; ICMC, University of S\u00e3o Paulo (USP), S\u00e3o Carlos, SP, 13566-590, Brazil; Institute of Computing, University of Campinas (UNICAMP), Campinas, SP, Brazil, 13083-852",
        "project": "",
        "github": "",
        "arxiv": "2011.13317",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Adaptive Privacy Preserving Deep Learning Algorithms for Medical Data",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Zhang_Adaptive_Privacy_Preserving_Deep_Learning_Algorithms_for_Medical_Data_WACV_2021_paper.html",
        "author": "Xinyue Zhang, Jiahao Ding, Maoqiang Wu, Stephen T.C. Wong, Hien Van Nguyen, Miao Pan",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Zhang_Adaptive_Privacy_Preserving_Deep_Learning_Algorithms_for_Medical_Data_WACV_2021_paper.pdf",
        "aff": "University of Houston; Houston Methodist Hospital; Guangdong University of Technology",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Adaptive Streaming of 360-Degree Videos With Reinforcement Learning",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Park_Adaptive_Streaming_of_360-Degree_Videos_With_Reinforcement_Learning_WACV_2021_paper.html",
        "author": "Sohee Park, Minh Hoai, Arani Bhattacharya, Samir R. Das",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Park_Adaptive_Streaming_of_360-Degree_Videos_With_Reinforcement_Learning_WACV_2021_paper.pdf",
        "aff": "IIIT-Delhi, New Delhi, India; Stony Brook University, Stony Brook, NY, USA",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Adaptive-Attentive Geolocalization From Few Queries: A Hybrid Approach",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Berton_Adaptive-Attentive_Geolocalization_From_Few_Queries_A_Hybrid_Approach_WACV_2021_paper.html",
        "author": "Gabriele Moreno Berton, Valerio Paolicelli, Carlo Masone, Barbara Caputo",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Berton_Adaptive-Attentive_Geolocalization_From_Few_Queries_A_Hybrid_Approach_WACV_2021_paper.pdf",
        "aff": "Italian Institute of Technology, Turin, Italy; Politecnico di Torino, Turin, Italy",
        "project": "",
        "github": "https://github.com/valeriopaolicelli/AdAGeo",
        "arxiv": "2010.06897",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "AdarGCN: Adaptive Aggregation GCN for Few-Shot Learning",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Zhang_AdarGCN_Adaptive_Aggregation_GCN_for_Few-Shot_Learning_WACV_2021_paper.html",
        "author": "Jianhong Zhang, Manli Zhang, Zhiwu Lu, Tao Xiang",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Zhang_AdarGCN_Adaptive_Aggregation_GCN_for_Few-Shot_Learning_WACV_2021_paper.pdf",
        "aff": "Gaoling School of Arti\ufb01cial Intelligence, Renmin University of China; Beijing Key Laboratory of Big Data Management and Analysis Methods; University of Surrey, United Kingdom; Gaoling School of Arti\ufb01cial Intelligence, Renmin University of China",
        "project": "",
        "github": "",
        "arxiv": "2002.12641",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Adversarial Deepfakes: Evaluating Vulnerability of Deepfake Detectors to Adversarial Examples",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Hussain_Adversarial_Deepfakes_Evaluating_Vulnerability_of_Deepfake_Detectors_to_Adversarial_Examples_WACV_2021_paper.html",
        "author": "Shehzeen Hussain, Paarth Neekhara, Malhar Jere, Farinaz Koushanfar, Julian McAuley",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Hussain_Adversarial_Deepfakes_Evaluating_Vulnerability_of_Deepfake_Detectors_to_Adversarial_Examples_WACV_2021_paper.pdf",
        "aff": "University of California San Diego",
        "project": "",
        "github": "https://adversarialdeepfakes.github.io/",
        "arxiv": "2002.12749",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Adversarial Dual Distinct Classifiers for Unsupervised Domain Adaptation",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Jing_Adversarial_Dual_Distinct_Classifiers_for_Unsupervised_Domain_Adaptation_WACV_2021_paper.html",
        "author": "Taotao Jing, Zhengming Ding",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Jing_Adversarial_Dual_Distinct_Classifiers_for_Unsupervised_Domain_Adaptation_WACV_2021_paper.pdf",
        "aff": "Department of ECE, Indiana University-Purdue University Indianapolis, USA; Department of CIT, Indiana University-Purdue University Indianapolis, USA",
        "project": "",
        "github": "",
        "arxiv": "2008.11878",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Adversarial Reinforcement Learning for Unsupervised Domain Adaptation",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Zhang_Adversarial_Reinforcement_Learning_for_Unsupervised_Domain_Adaptation_WACV_2021_paper.html",
        "author": "Youshan Zhang, Hui Ye, Brian D. Davison",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Zhang_Adversarial_Reinforcement_Learning_for_Unsupervised_Domain_Adaptation_WACV_2021_paper.pdf",
        "aff": "Computer Science, Georgia State University; Computer Science and Engineering, Lehigh University",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Alleviating Over-Segmentation Errors by Detecting Action Boundaries",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Ishikawa_Alleviating_Over-Segmentation_Errors_by_Detecting_Action_Boundaries_WACV_2021_paper.html",
        "author": "Yuchi Ishikawa, Seito Kasai, Yoshimitsu Aoki, Hirokatsu Kataoka",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Ishikawa_Alleviating_Over-Segmentation_Errors_by_Detecting_Action_Boundaries_WACV_2021_paper.pdf",
        "aff": "National Institute of Advanced Industrial Science and Technology (AIST); Keio University",
        "project": "",
        "github": "https://github.com/yiskw713/asrf",
        "arxiv": "2007.06866",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "An Alternative of LIDAR in Nighttime: Unsupervised Depth Estimation Based on Single Thermal Image",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Lu_An_Alternative_of_LIDAR_in_Nighttime_Unsupervised_Depth_Estimation_Based_WACV_2021_paper.html",
        "author": "Yawen Lu, Guoyu Lu",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Lu_An_Alternative_of_LIDAR_in_Nighttime_Unsupervised_Depth_Estimation_Based_WACV_2021_paper.pdf",
        "aff": "Intelligent Vision and Sensing Lab, Rochester Institute of Technology",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Analyzing Deep Neural Network's Transferability via Frechet Distance",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Ding_Analyzing_Deep_Neural_Networks_Transferability_via_Frechet_Distance_WACV_2021_paper.html",
        "author": "Yifan Ding, Liqiang Wang, Boqing Gong",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Ding_Analyzing_Deep_Neural_Networks_Transferability_via_Frechet_Distance_WACV_2021_paper.pdf",
        "aff": "Department of Computer Science, University of Central Florida; Google",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Appending Adversarial Frames for Universal Video Attack",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Chen_Appending_Adversarial_Frames_for_Universal_Video_Attack_WACV_2021_paper.html",
        "author": "Zhikai Chen, Lingxi Xie, Shanmin Pang, Yong He, Qi Tian",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Chen_Appending_Adversarial_Frames_for_Universal_Video_Attack_WACV_2021_paper.pdf",
        "aff": "Xi\u2019an Jiaotong University; Huawei Noah\u2019s Ark Lab",
        "project": "",
        "github": "",
        "arxiv": "1912.04538",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Are These From the Same Place? Seeing the Unseen in Cross-View Image Geo-Localization",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Rodrigues_Are_These_From_the_Same_Place_Seeing_the_Unseen_in_WACV_2021_paper.html",
        "author": "Royston Rodrigues, Masahiro Tani",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Rodrigues_Are_These_From_the_Same_Place_Seeing_the_Unseen_in_WACV_2021_paper.pdf",
        "aff": "Biometrics Research Laboratories, NEC Corporation, Kawasaki, Kanagawa, Japan",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Assessing Image and Text Generation With Topological Analysis and Fuzzy Logic",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Mordido_Assessing_Image_and_Text_Generation_With_Topological_Analysis_and_Fuzzy_WACV_2021_paper.html",
        "author": "Goncalo Mordido, Julian Niedermeier, Christoph Meinel",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Mordido_Assessing_Image_and_Text_Generation_With_Topological_Analysis_and_Fuzzy_WACV_2021_paper.pdf",
        "aff": "Hasso Plattner Institute, Potsdam, Germarny",
        "project": "",
        "github": "https://github.com/sleighsoft/fti",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Asymmetric Contextual Modulation for Infrared Small Target Detection",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Dai_Asymmetric_Contextual_Modulation_for_Infrared_Small_Target_Detection_WACV_2021_paper.html",
        "author": "Yimian Dai, Yiquan Wu, Fei Zhou, Kobus Barnard",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Dai_Asymmetric_Contextual_Modulation_for_Infrared_Small_Target_Detection_WACV_2021_paper.pdf",
        "aff": "College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics; Department of Computer Science, University of Arizona",
        "project": "",
        "github": "https://github.com/YimianDai/open-acm",
        "arxiv": "2009.14530",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Attention-Based Spatial Guidance for Image-to-Image Translation",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Lin_Attention-Based_Spatial_Guidance_for_Image-to-Image_Translation_WACV_2021_paper.html",
        "author": "Yu Lin, Yigong Wang, Yifan Li, Yang Gao, Zhuoyi Wang, Latifur Khan",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Lin_Attention-Based_Spatial_Guidance_for_Image-to-Image_Translation_WACV_2021_paper.pdf",
        "aff": "University of Texas at Dallas",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Attentional Feature Fusion",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Dai_Attentional_Feature_Fusion_WACV_2021_paper.html",
        "author": "Yimian Dai, Fabian Gieseke, Stefan Oehmcke, Yiquan Wu, Kobus Barnard",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Dai_Attentional_Feature_Fusion_WACV_2021_paper.pdf",
        "aff": "Department of Information Systems, University of M\u00fcnster; Department of Computer Science, University of Copenhagen; College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics; Department of Computer Science, University of Arizona",
        "project": "",
        "github": "https://github.com/YimianDai/open-aff",
        "arxiv": "2009.14082",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Audio- and Gaze-Driven Facial Animation of Codec Avatars",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Richard_Audio-_and_Gaze-Driven_Facial_Animation_of_Codec_Avatars_WACV_2021_paper.html",
        "author": "Alexander Richard, Colin Lea, Shugao Ma, Jurgen Gall, Fernando de la Torre, Yaser Sheikh",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Richard_Audio-_and_Gaze-Driven_Facial_Animation_of_Codec_Avatars_WACV_2021_paper.pdf",
        "aff": "University of Bonn; Facebook Reality Labs\u2020; Facebook Reality Labs",
        "project": "https://research.fb.com/videos/audio-and-gaze-driven-facial-animation-of-codec-avatars/",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Audio-Visual Event Localization via Recursive Fusion by Joint Co-Attention",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Duan_Audio-Visual_Event_Localization_via_Recursive_Fusion_by_Joint_Co-Attention_WACV_2021_paper.html",
        "author": "Bin Duan, Hao Tang, Wei Wang, Ziliang Zong, Guowei Yang, Yan Yan",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Duan_Audio-Visual_Event_Localization_via_Recursive_Fusion_by_Joint_Co-Attention_WACV_2021_paper.pdf",
        "aff": "Illinois Institute of Technology, USA; University of Trento, Italy; Texas State University, USA",
        "project": "",
        "github": "",
        "arxiv": "2008.06581",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Auto-Navigator: Decoupled Neural Architecture Search for Visual Navigation",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Tang_Auto-Navigator_Decoupled_Neural_Architecture_Search_for_Visual_Navigation_WACV_2021_paper.html",
        "author": "Tianqi Tang, Xin Yu, Xuanyi Dong, Yi Yang",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Tang_Auto-Navigator_Decoupled_Neural_Architecture_Search_for_Visual_Navigation_WACV_2021_paper.pdf",
        "aff": "ReLER Lab, AAII, University of Technology Sydney",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "AutoRetouch: Automatic Professional Face Retouching",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Shafaei_AutoRetouch_Automatic_Professional_Face_Retouching_WACV_2021_paper.html",
        "author": "Alireza Shafaei, James J. Little, Mark Schmidt",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Shafaei_AutoRetouch_Automatic_Professional_Face_Retouching_WACV_2021_paper.pdf",
        "aff": "Skylab Technologies Inc.\u2020, The University of British Columbia; The University of British Columbia; The University of British Columbia, CCAI Af\ufb01liate Chair (Amii)",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Automatic Calibration of the Fisheye Camera for Egocentric 3D Human Pose Estimation From a Single Image",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Zhang_Automatic_Calibration_of_the_Fisheye_Camera_for_Egocentric_3D_Human_WACV_2021_paper.html",
        "author": "Yahui Zhang, Shaodi You, Theo Gevers",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Zhang_Automatic_Calibration_of_the_Fisheye_Camera_for_Egocentric_3D_Human_WACV_2021_paper.pdf",
        "aff": "University of Amsterdam",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Automatic Object Recoloring Using Adversarial Learning",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Khodadadeh_Automatic_Object_Recoloring_Using_Adversarial_Learning_WACV_2021_paper.html",
        "author": "Siavash Khodadadeh, Saeid Motiian, Zhe Lin, Ladislau Boloni, Shabnam Ghadar",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Khodadadeh_Automatic_Object_Recoloring_Using_Adversarial_Learning_WACV_2021_paper.pdf",
        "aff": "Dept. of Computer Science, University of Central Florida, Orlando, Florida, USA; Adobe Inc., San Jose, California, USA",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Automatic Open-World Reliability Assessment",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Jafarzadeh_Automatic_Open-World_Reliability_Assessment_WACV_2021_paper.html",
        "author": "Mohsen Jafarzadeh, Touqeer Ahmad, Akshay Raj Dhamija, Chunchun Li, Steve Cruz, Terrance E. Boult",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Jafarzadeh_Automatic_Open-World_Reliability_Assessment_WACV_2021_paper.pdf",
        "aff": "University of Colorado, Colorado Springs",
        "project": "",
        "github": "",
        "arxiv": "2011.05506",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Automatic Quantification of Plant Disease From Field Image Data Using Deep Learning",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Garg_Automatic_Quantification_of_Plant_Disease_From_Field_Image_Data_Using_WACV_2021_paper.html",
        "author": "Kanish Garg, Swati Bhugra, Brejesh Lall",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Garg_Automatic_Quantification_of_Plant_Disease_From_Field_Image_Data_Using_WACV_2021_paper.pdf",
        "aff": "Department of Electrical Engineering, Indian Institute of Technology Delhi",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Autonomous Tracking for Volumetric Video Sequences",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Moynihan_Autonomous_Tracking_for_Volumetric_Video_Sequences_WACV_2021_paper.html",
        "author": "Matthew Moynihan, Susana Ruano, Rafael Pages, Aljosa Smolic",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Moynihan_Autonomous_Tracking_for_Volumetric_Video_Sequences_WACV_2021_paper.pdf",
        "aff": "V-SENSE, Trinity College Dublin; Volograms",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Auxiliary Tasks for Efficient Learning of Point-Goal Navigation",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Desai_Auxiliary_Tasks_for_Efficient_Learning_of_Point-Goal_Navigation_WACV_2021_paper.html",
        "author": "Saurabh Satish Desai, Stefan Lee",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Desai_Auxiliary_Tasks_for_Efficient_Learning_of_Point-Goal_Navigation_WACV_2021_paper.pdf",
        "aff": "Oregon State University",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Benchmark for Evaluating Pedestrian Action Prediction",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Kotseruba_Benchmark_for_Evaluating_Pedestrian_Action_Prediction_WACV_2021_paper.html",
        "author": "Iuliia Kotseruba, Amir Rasouli, John K. Tsotsos",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Kotseruba_Benchmark_for_Evaluating_Pedestrian_Action_Prediction_WACV_2021_paper.pdf",
        "aff": "York University",
        "project": "",
        "github": "https://github.com/ykotseruba/PedestrianActionBenchmark",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Benefiting From Bicubically Down-Sampled Images for Learning Real-World Image Super-Resolution",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Rad_Benefiting_From_Bicubically_Down-Sampled_Images_for_Learning_Real-World_Image_Super-Resolution_WACV_2021_paper.html",
        "author": "Mohammad Saeed Rad, Thomas Yu, Claudiu Musat, Hazim Kemal Ekenel, Behzad Bozorgtabar, Jean-Philippe Thiran",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Rad_Benefiting_From_Bicubically_Down-Sampled_Images_for_Learning_Real-World_Image_Super-Resolution_WACV_2021_paper.pdf",
        "aff": "SiMiT Lab, ITU, Turkey; Digital Lab, Swisscom, Switzerland; LTS5, EPFL, Switzerland",
        "project": "",
        "github": "",
        "arxiv": "2007.03053",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Boosting Monocular Depth With Panoptic Segmentation Maps",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Saeedan_Boosting_Monocular_Depth_With_Panoptic_Segmentation_Maps_WACV_2021_paper.html",
        "author": "Faraz Saeedan, Stefan Roth",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Saeedan_Boosting_Monocular_Depth_With_Panoptic_Segmentation_Maps_WACV_2021_paper.pdf",
        "aff": "Department of Computer Science, TU Darmstadt",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Breaking Shortcuts by Masking for Robust Visual Reasoning",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Ye_Breaking_Shortcuts_by_Masking_for_Robust_Visual_Reasoning_WACV_2021_paper.html",
        "author": "Keren Ye, Mingda Zhang, Adriana Kovashka",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Ye_Breaking_Shortcuts_by_Masking_for_Robust_Visual_Reasoning_WACV_2021_paper.pdf",
        "aff": "Department of Computer Science, University of Pittsburgh, Pittsburgh PA, USA",
        "project": "",
        "github": "https://github.com/yekeren/Ads-KB",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "CAP: Context-Aware Pruning for Semantic Segmentation",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/He_CAP_Context-Aware_Pruning_for_Semantic_Segmentation_WACV_2021_paper.html",
        "author": "Wei He, Meiqing Wu, Mingfu Liang, Siew-Kei Lam",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/He_CAP_Context-Aware_Pruning_for_Semantic_Segmentation_WACV_2021_paper.pdf",
        "aff": "School of Computer Science and Engineering, Nanyang Technological University",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "CASIA-SURF CeFA: A Benchmark for Multi-Modal Cross-Ethnicity Face Anti-Spoofing",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Liu_CASIA-SURF_CeFA_A_Benchmark_for_Multi-Modal_Cross-Ethnicity_Face_Anti-Spoofing_WACV_2021_paper.html",
        "author": "Ajian Liu, Zichang Tan, Jun Wan, Sergio Escalera, Guodong Guo, Stan Z. Li",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Liu_CASIA-SURF_CeFA_A_Benchmark_for_Multi-Modal_Cross-Ethnicity_Face_Anti-Spoofing_WACV_2021_paper.pdf",
        "aff": "CVC, UB, Spain; M.U.S.T, Macau; NLPR, CASIA, UCAS, China; M.U.S.T, Macau; The Westlake University, China; Baidu Research, China",
        "project": "https://sites.google.com/qq.com/face-anti-spoofing/welcome/challengecvpr2020?authuser=0",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "CAT-Net: Compression Artifact Tracing Network for Detection and Localization of Image Splicing",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Kwon_CAT-Net_Compression_Artifact_Tracing_Network_for_Detection_and_Localization_of_WACV_2021_paper.html",
        "author": "Myung-Joon Kwon, In-Jae Yu, Seung-Hun Nam, Heung-Kyu Lee",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Kwon_CAT-Net_Compression_Artifact_Tracing_Network_for_Detection_and_Localization_of_WACV_2021_paper.pdf",
        "aff": "Korea Advanced Institute of Science and Technology (KAIST)",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "CIT-GAN: Cyclic Image Translation Generative Adversarial Network With Application in Iris Presentation Attack Detection",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Yadav_CIT-GAN_Cyclic_Image_Translation_Generative_Adversarial_Network_With_Application_in_WACV_2021_paper.html",
        "author": "Shivangi Yadav, Arun Ross",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Yadav_CIT-GAN_Cyclic_Image_Translation_Generative_Adversarial_Network_With_Application_in_WACV_2021_paper.pdf",
        "aff": "Michigan State University",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "CPM R-CNN: Calibrating Point-Guided Misalignment in Object Detection",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Zhu_CPM_R-CNN_Calibrating_Point-Guided_Misalignment_in_Object_Detection_WACV_2021_paper.html",
        "author": "Bin Zhu, Qing Song, Lu Yang, Zhihui Wang, Chun Liu, Mengjie Hu",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Zhu_CPM_R-CNN_Calibrating_Point-Guided_Misalignment_in_Object_Detection_WACV_2021_paper.pdf",
        "aff": "Pattern Recognition and Intelligent Vision Lab, Beijing University of Posts and Telecommunications",
        "project": "",
        "github": "https://github.com/zhubinQAQ/CPM-R-CNN",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Can Selfless Learning Improve Accuracy of a Single Classification Task?",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Roy_Can_Selfless_Learning_Improve_Accuracy_of_a_Single_Classification_Task_WACV_2021_paper.html",
        "author": "Soumya Roy, Bharat Bhusan Sau",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Roy_Can_Selfless_Learning_Improve_Accuracy_of_a_Single_Classification_Task_WACV_2021_paper.pdf",
        "aff": "Indian Institute of Technology, Kanpur, India; Indian Institute of Technology, Hyderabad, India",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "CenterFusion: Center-Based Radar and Camera Fusion for 3D Object Detection",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Nabati_CenterFusion_Center-Based_Radar_and_Camera_Fusion_for_3D_Object_Detection_WACV_2021_paper.html",
        "author": "Ramin Nabati, Hairong Qi",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Nabati_CenterFusion_Center-Based_Radar_and_Camera_Fusion_for_3D_Object_Detection_WACV_2021_paper.pdf",
        "aff": "University of Tennessee Knoxville",
        "project": "",
        "github": "https://github.com/mrnabati/CenterFusion",
        "arxiv": "2011.04841",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "ChartOCR: Data Extraction From Charts Images via a Deep Hybrid Framework",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Luo_ChartOCR_Data_Extraction_From_Charts_Images_via_a_Deep_Hybrid_WACV_2021_paper.html",
        "author": "Junyu Luo, Zekun Li, Jinpeng Wang, Chin-Yew Lin",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Luo_ChartOCR_Data_Extraction_From_Charts_Images_via_a_Deep_Hybrid_WACV_2021_paper.pdf",
        "aff": "Pennstate University, Pennsylvania, USA; Microsoft Research, Beijing, China; University of Southern California, Los Angeles, California, USA",
        "project": "",
        "github": "https://github.com/soap117/DeepRule",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Cinematic-L1 Video Stabilization With a Log-Homography Model",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Bradley_Cinematic-L1_Video_Stabilization_With_a_Log-Homography_Model_WACV_2021_paper.html",
        "author": "Arwen Bradley, Jason Klivington, Joseph Triscari, Rudolph van der Merwe",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Bradley_Cinematic-L1_Video_Stabilization_With_a_Log-Homography_Model_WACV_2021_paper.pdf",
        "aff": "Apple, Inc.",
        "project": "",
        "github": "",
        "arxiv": "2011.08144",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Class Anchor Clustering: A Loss for Distance-Based Open Set Recognition",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Miller_Class_Anchor_Clustering_A_Loss_for_Distance-Based_Open_Set_Recognition_WACV_2021_paper.html",
        "author": "Dimity Miller, Niko Sunderhauf, Michael Milford, Feras Dayoub",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Miller_Class_Anchor_Clustering_A_Loss_for_Distance-Based_Open_Set_Recognition_WACV_2021_paper.pdf",
        "aff": "Queensland University of Technology, Australian Centre for Robotic Vision",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Class-Agnostic Few-Shot Object Counting",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Yang_Class-Agnostic_Few-Shot_Object_Counting_WACV_2021_paper.html",
        "author": "Shuo-Diao Yang, Hung-Ting Su, Winston H. Hsu, Wen-Chin Chen",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Yang_Class-Agnostic_Few-Shot_Object_Counting_WACV_2021_paper.pdf",
        "aff": "National Taiwan University, Taipei, Taiwan",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Class-Agnostic Object Detection",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Jaiswal_Class-Agnostic_Object_Detection_WACV_2021_paper.html",
        "author": "Ayush Jaiswal, Yue Wu, Pradeep Natarajan, Premkumar Natarajan",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Jaiswal_Class-Agnostic_Object_Detection_WACV_2021_paper.pdf",
        "aff": "Amazon Alexa Natural Understanding, Manhattan Beach, CA, USA",
        "project": "",
        "github": "",
        "arxiv": "2011.14204",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Class-Wise Metric Scaling for Improved Few-Shot Classification",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Liu_Class-Wise_Metric_Scaling_for_Improved_Few-Shot_Classification_WACV_2021_paper.html",
        "author": "Ge Liu, Linglan Zhao, Wei Li, Dashan Guo, Xiangzhong Fang",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Liu_Class-Wise_Metric_Scaling_for_Improved_Few-Shot_Classification_WACV_2021_paper.pdf",
        "aff": "Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai 200240, China",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "ClassMix: Segmentation-Based Data Augmentation for Semi-Supervised Learning",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Olsson_ClassMix_Segmentation-Based_Data_Augmentation_for_Semi-Supervised_Learning_WACV_2021_paper.html",
        "author": "Viktor Olsson, Wilhelm Tranheden, Juliano Pinto, Lennart Svensson",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Olsson_ClassMix_Segmentation-Based_Data_Augmentation_for_Semi-Supervised_Learning_WACV_2021_paper.pdf",
        "aff": "Chalmers University of Technology, Gothenburg, Sweden; Chalmers University of Technology, Gothenburg, Sweden; Volvo Cars, Gothenburg, Sweden",
        "project": "",
        "github": "https://github.com/WilhelmT/ClassMix",
        "arxiv": "2007.07936",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "CoMoDA: Continuous Monocular Depth Adaptation Using Past Experiences",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Kuznietsov_CoMoDA_Continuous_Monocular_Depth_Adaptation_Using_Past_Experiences_WACV_2021_paper.html",
        "author": "Yevhen Kuznietsov, Marc Proesmans, Luc Van Gool",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Kuznietsov_CoMoDA_Continuous_Monocular_Depth_Adaptation_Using_Past_Experiences_WACV_2021_paper.pdf",
        "aff": "KU Leuven/ESAT-PSI; ETH Zurich/CVL",
        "project": "",
        "github": "https://github.com/Yevkuzn/CoMoDA",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Coarse Temporal Attention Network (CTA-Net) for Driver's Activity Recognition",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Wharton_Coarse_Temporal_Attention_Network_CTA-Net_for_Drivers_Activity_Recognition_WACV_2021_paper.html",
        "author": "Zachary Wharton, Ardhendu Behera, Yonghuai Liu, Nik Bessis",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Wharton_Coarse_Temporal_Attention_Network_CTA-Net_for_Drivers_Activity_Recognition_WACV_2021_paper.pdf",
        "aff": "Edge Hill University, Ormskirk, Lancashire, United Kingdom",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Coarse- and Fine-Grained Attention Network With Background-Aware Loss for Crowd Density Map Estimation",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Rong_Coarse-_and_Fine-Grained_Attention_Network_With_Background-Aware_Loss_for_Crowd_WACV_2021_paper.html",
        "author": "Liangzi Rong, Chunping Li",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Rong_Coarse-_and_Fine-Grained_Attention_Network_With_Background-Aware_Loss_for_Crowd_WACV_2021_paper.pdf",
        "aff": "School of Software, Tsinghua University",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Coarse-to-Fine Gaze Redirection With Numerical and Pictorial Guidance",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Chen_Coarse-to-Fine_Gaze_Redirection_With_Numerical_and_Pictorial_Guidance_WACV_2021_paper.html",
        "author": "Jingjing Chen, Jichao Zhang, Enver Sangineto, Tao Chen, Jiayuan Fan, Nicu Sebe",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Chen_Coarse-to-Fine_Gaze_Redirection_With_Numerical_and_Pictorial_Guidance_WACV_2021_paper.pdf",
        "aff": "University of Trento; University of Trento, Huawei Research Ireland; Academy for Engineering and Technology, Fudan University; Zhejiang University; School of Information Science and Technology, Fudan University",
        "project": "",
        "github": "https://github.com/jingjingchen777/CFGR",
        "arxiv": "2004.03064",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Compositional Embeddings for Multi-Label One-Shot Learning",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Li_Compositional_Embeddings_for_Multi-Label_One-Shot_Learning_WACV_2021_paper.html",
        "author": "Zeqian Li, Michael Mozer, Jacob Whitehill",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Li_Compositional_Embeddings_for_Multi-Label_One-Shot_Learning_WACV_2021_paper.pdf",
        "aff": "Google Brain; Worcester Polytechnic Institute",
        "project": "",
        "github": "",
        "arxiv": "2002.04193",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Compositional Learning of Image-Text Query for Image Retrieval",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Anwaar_Compositional_Learning_of_Image-Text_Query_for_Image_Retrieval_WACV_2021_paper.html",
        "author": "Muhammad Umer Anwaar, Egor Labintcev, Martin Kleinsteuber",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Anwaar_Compositional_Learning_of_Image-Text_Query_for_Image_Retrieval_WACV_2021_paper.pdf",
        "aff": "Mercateo AG; Technische Universit\u00a8at M\u00a8unchen, Mercateo AG",
        "project": "",
        "github": "https://github.com/ecom-research/ComposeAE",
        "arxiv": "2006.11149",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Conditional Link Prediction of Category-Implicit Keypoint Detection",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Yi-Ge_Conditional_Link_Prediction_of_Category-Implicit_Keypoint_Detection_WACV_2021_paper.html",
        "author": "Ellen Yi-Ge, Rui Fan, Zechun Liu, Zhiqiang Shen",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Yi-Ge_Conditional_Link_Prediction_of_Category-Implicit_Keypoint_Detection_WACV_2021_paper.pdf",
        "aff": "Carnegie Mellon University; UC San Diego",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Confidence-Driven Hierarchical Classification of Cultivated Plant Stresses",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Frank_Confidence-Driven_Hierarchical_Classification_of_Cultivated_Plant_Stresses_WACV_2021_paper.html",
        "author": "Logan Frank, Christopher Wiegman, Jim Davis, Scott Shearer",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Frank_Confidence-Driven_Hierarchical_Classification_of_Cultivated_Plant_Stresses_WACV_2021_paper.pdf",
        "aff": "Department of Food, Agricultural, and Biological Engineering, Ohio State University; Department of Computer Science and Engineering, Ohio State University",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Conflicting Bundles: Adapting Architectures Towards the Improved Training of Deep Neural Networks",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Peer_Conflicting_Bundles_Adapting_Architectures_Towards_the_Improved_Training_of_Deep_WACV_2021_paper.html",
        "author": "David Peer, Sebastian Stabinger, Antonio Rodriguez-Sanchez",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Peer_Conflicting_Bundles_Adapting_Architectures_Towards_the_Improved_Training_of_Deep_WACV_2021_paper.pdf",
        "aff": "University of Innsbruck, Austria",
        "project": "https://iis.uibk.ac.at/",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Constrained Weight Optimization for Learning Without Activation Normalization",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Ikami_Constrained_Weight_Optimization_for_Learning_Without_Activation_Normalization_WACV_2021_paper.html",
        "author": "Daiki Ikami, Go Irie, Takashi Shibata",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Ikami_Constrained_Weight_Optimization_for_Learning_Without_Activation_Normalization_WACV_2021_paper.pdf",
        "aff": "NTT Corporation",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Context-Aware Domain Adaptation in Semantic Segmentation",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Yang_Context-Aware_Domain_Adaptation_in_Semantic_Segmentation_WACV_2021_paper.html",
        "author": "Jinyu Yang, Weizhi An, Chaochao Yan, Peilin Zhao, Junzhou Huang",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Yang_Context-Aware_Domain_Adaptation_in_Semantic_Segmentation_WACV_2021_paper.pdf",
        "aff": "Tencent AI Lab; The University of Texas at Arlington",
        "project": "",
        "github": "",
        "arxiv": "2003.04010",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Continual Representation Learning for Biometric Identification",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Zhao_Continual_Representation_Learning_for_Biometric_Identification_WACV_2021_paper.html",
        "author": "Bo Zhao, Shixiang Tang, Dapeng Chen, Hakan Bilen, Rui Zhao",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Zhao_Continual_Representation_Learning_for_Biometric_Identification_WACV_2021_paper.pdf",
        "aff": "The University of Edinburgh; SenseTime Group Limited; SenseTime Group Limited, The University of Sydney",
        "project": "",
        "github": "",
        "arxiv": "2006.04455",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Continuous Geodesic Convolutions for Learning on 3D Shapes",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Yang_Continuous_Geodesic_Convolutions_for_Learning_on_3D_Shapes_WACV_2021_paper.html",
        "author": "Zhangsihao Yang, Or Litany, Tolga Birdal, Srinath Sridhar, Leonidas Guibas",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Yang_Continuous_Geodesic_Convolutions_for_Learning_on_3D_Shapes_WACV_2021_paper.pdf",
        "aff": "Brown University; Arizona State University; Stanford University; NVIDIA",
        "project": "",
        "github": "",
        "arxiv": "2002.02506",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Controllable and Progressive Image Extrapolation",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Li_Controllable_and_Progressive_Image_Extrapolation_WACV_2021_paper.html",
        "author": "Yijun Li, Lu Jiang, Ming-Hsuan Yang",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Li_Controllable_and_Progressive_Image_Extrapolation_WACV_2021_paper.pdf",
        "aff": "Google Research, University of California, Merced; Adobe Research, University of California, Merced; Google Research",
        "project": "",
        "github": "",
        "arxiv": "1912.11711",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Covariance-Free Partial Least Squares: An Incremental Dimensionality Reduction Method",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Jordao_Covariance-Free_Partial_Least_Squares_An_Incremental_Dimensionality_Reduction_Method_WACV_2021_paper.html",
        "author": "Artur Jordao, Maiko Lie, Victor Hugo Cunha de Melo, William Robson Schwartz",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Jordao_Covariance-Free_Partial_Least_Squares_An_Incremental_Dimensionality_Reduction_Method_WACV_2021_paper.pdf",
        "aff": "Smart Sense Laboratory, Computer Science Department, Federal University of Minas Gerais, Brazil",
        "project": "",
        "github": "",
        "arxiv": "1910.02319",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Cross-Domain Latent Modulation for Variational Transfer Learning",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Hou_Cross-Domain_Latent_Modulation_for_Variational_Transfer_Learning_WACV_2021_paper.html",
        "author": "Jinyong Hou, Jeremiah D. Deng, Stephen Cranefield, Xuejie Ding",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Hou_Cross-Domain_Latent_Modulation_for_Variational_Transfer_Learning_WACV_2021_paper.pdf",
        "aff": "Department of Information Science, University of Otago",
        "project": "",
        "github": "",
        "arxiv": "2012.11727",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Cross-Modality 3D Object Detection",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Zhu_Cross-Modality_3D_Object_Detection_WACV_2021_paper.html",
        "author": "Ming Zhu, Chao Ma, Pan Ji, Xiaokang Yang",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Zhu_Cross-Modality_3D_Object_Detection_WACV_2021_paper.pdf",
        "aff": "MoE Key Lab of Artificial Intelligence, AI Institute, Shanghai Jiao Tong University; NEC Laboratories America",
        "project": "",
        "github": "",
        "arxiv": "2008.10436",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "DACS: Domain Adaptation via Cross-Domain Mixed Sampling",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Tranheden_DACS_Domain_Adaptation_via_Cross-Domain_Mixed_Sampling_WACV_2021_paper.html",
        "author": "Wilhelm Tranheden, Viktor Olsson, Juliano Pinto, Lennart Svensson",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Tranheden_DACS_Domain_Adaptation_via_Cross-Domain_Mixed_Sampling_WACV_2021_paper.pdf",
        "aff": "Chalmers University of Technology, Gothenburg, Sweden; Chalmers University of Technology, Gothenburg, Sweden; Volvo Cars, Gothenburg, Sweden",
        "project": "",
        "github": "",
        "arxiv": "2007.08702",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "DANCE: A Deep Attentive Contour Model for Efficient Instance Segmentation",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Liu_DANCE_A_Deep_Attentive_Contour_Model_for_Efficient_Instance_Segmentation_WACV_2021_paper.html",
        "author": "Zichen Liu, Jun Hao Liew, Xiangyu Chen, Jiashi Feng",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Liu_DANCE_A_Deep_Attentive_Contour_Model_for_Efficient_Instance_Segmentation_WACV_2021_paper.pdf",
        "aff": "Shopee Data Science; National University of Singapore; National University of Singapore, Shopee Data Science",
        "project": "",
        "github": "https://github.com/lkevinzc/dance",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "DB-GAN: Boosting Object Recognition Under Strong Lighting Conditions",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Minciullo_DB-GAN_Boosting_Object_Recognition_Under_Strong_Lighting_Conditions_WACV_2021_paper.html",
        "author": "Luca Minciullo, Fabian Manhardt, Kei Yoshikawa, Sven Meier, Federico Tombari, Norimasa Kobori",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Minciullo_DB-GAN_Boosting_Object_Recognition_Under_Strong_Lighting_Conditions_WACV_2021_paper.pdf",
        "aff": "Technical University of Munich; Toyota Motor Europe; Woven CORE, Inc.",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "DORi: Discovering Object Relationships for Moment Localization of a Natural Language Query in a Video",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Rodriguez-Opazo_DORi_Discovering_Object_Relationships_for_Moment_Localization_of_a_Natural_WACV_2021_paper.html",
        "author": "Cristian Rodriguez-Opazo, Edison Marrese-Taylor, Basura Fernando, Hongdong Li, Stephen Gould",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Rodriguez-Opazo_DORi_Discovering_Object_Relationships_for_Moment_Localization_of_a_Natural_WACV_2021_paper.pdf",
        "aff": "Graduate School of Engineering, The University of Tokyo; A*STAR Singapore; Australian National University, Australian Centre for Robotic Vision (ACRV)",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Data-Efficient Alignment of Multimodal Sequences by Aligning Gradient Updates and Internal Feature Distributions",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Wang_Data-Efficient_Alignment_of_Multimodal_Sequences_by_Aligning_Gradient_Updates_and_WACV_2021_paper.html",
        "author": "Jianan Wang, Boyang Li, Xiangyu Fan, Jing Lin, Yanwei Fu",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Wang_Data-Efficient_Alignment_of_Multimodal_Sequences_by_Aligning_Gradient_Updates_and_WACV_2021_paper.pdf",
        "aff": "Nanyang Technological University, Singapore; MOE Frontiers Center for Brain Science, Fudan University, China; School of Data Science, Fudan University, China",
        "project": "",
        "github": "",
        "arxiv": "2011.07517",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Data-Free Knowledge Distillation for Object Detection",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Chawla_Data-Free_Knowledge_Distillation_for_Object_Detection_WACV_2021_paper.html",
        "author": "Akshay Chawla, Hongxu Yin, Pavlo Molchanov, Jose Alvarez",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Chawla_Data-Free_Knowledge_Distillation_for_Object_Detection_WACV_2021_paper.pdf",
        "aff": "NVIDIA",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "De-Biasing Neural Networks With Estimated Offset for Class Imbalanced Learning",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Kim_De-Biasing_Neural_Networks_With_Estimated_Offset_for_Class_Imbalanced_Learning_WACV_2021_paper.html",
        "author": "Byungju Kim, Hyeong Gwon Hong, Junmo Kim",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Kim_De-Biasing_Neural_Networks_With_Estimated_Offset_for_Class_Imbalanced_Learning_WACV_2021_paper.pdf",
        "aff": "School of Electrical Engineering, KAIST, South Korea; School of Electrical Engineering, KAIST, South Korea; Mathpresso Inc",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Deep Active Learning for Joint Classification & Segmentation With Weak Annotator",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Belharbi_Deep_Active_Learning_for_Joint_Classification__Segmentation_With_Weak_WACV_2021_paper.html",
        "author": "Soufiane Belharbi, Ismail Ben Ayed, Luke McCaffrey, Eric Granger",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Belharbi_Deep_Active_Learning_for_Joint_Classification__Segmentation_With_Weak_WACV_2021_paper.pdf",
        "aff": "Goodman Cancer Research Centre, Dept. of Oncology, McGill University, Montreal, Canada; LIVIA, Dept. of Systems Engineering, Ecole de technologie superieure, Montreal, Canada",
        "project": "",
        "github": "https://github.com/sbelharbi/deep-active-learning-for-joint-classification-and-segmentation-with-weak-annotator",
        "arxiv": "2010.04889",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Deep Image Compositing",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Zhang_Deep_Image_Compositing_WACV_2021_paper.html",
        "author": "He Zhang, Jianming Zhang, Federico Perazzi, Zhe Lin, Vishal M. Patel",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Zhang_Deep_Image_Compositing_WACV_2021_paper.pdf",
        "aff": "Adobe Research; Johns Hopkins University",
        "project": "",
        "github": "",
        "arxiv": "2011.02146",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Deep Interactive Thin Object Selection",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Liew_Deep_Interactive_Thin_Object_Selection_WACV_2021_paper.html",
        "author": "Jun Hao Liew, Scott Cohen, Brian Price, Long Mai, Jiashi Feng",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Liew_Deep_Interactive_Thin_Object_Selection_WACV_2021_paper.pdf",
        "aff": "National University of Singapore; Adobe Research",
        "project": "",
        "github": "https://github.com/liewjunhao/thin-object-selection",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Deep Poisoning: Towards Robust Image Data Sharing Against Visual Disclosure",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Guo_Deep_Poisoning_Towards_Robust_Image_Data_Sharing_Against_Visual_Disclosure_WACV_2021_paper.html",
        "author": "Hao Guo, Brian Dolhansky, Eric Hsin, Phong Dinh, Cristian Canton Ferrer, Song Wang",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Guo_Deep_Poisoning_Towards_Robust_Image_Data_Sharing_Against_Visual_Disclosure_WACV_2021_paper.pdf",
        "aff": "Facebook AI; University of South Carolina",
        "project": "",
        "github": "",
        "arxiv": "1912.06895",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Deep Preset: Blending and Retouching Photos With Color Style Transfer",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Ho_Deep_Preset_Blending_and_Retouching_Photos_With_Color_Style_Transfer_WACV_2021_paper.html",
        "author": "Man M. Ho, Jinjia Zhou",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Ho_Deep_Preset_Blending_and_Retouching_Photos_With_Color_Style_Transfer_WACV_2021_paper.pdf",
        "aff": "Hosei University, Tokyo, Japan",
        "project": "https://minhmanho.github.io/deep_preset/",
        "github": "https://github.com/minhmanho/deep_preset",
        "arxiv": "2007.10701",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Deep Template-Based Object Instance Detection",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Mercier_Deep_Template-Based_Object_Instance_Detection_WACV_2021_paper.html",
        "author": "Jean-Philippe Mercier, Mathieu Garon, Philippe Giguere, Jean-Francois Lalonde",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Mercier_Deep_Template-Based_Object_Instance_Detection_WACV_2021_paper.pdf",
        "aff": "Universit\u00b4e Laval, Qu\u00b4ebec, Canada",
        "project": "",
        "github": "",
        "arxiv": "1911.11822",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Deep Unsupervised Anomaly Detection",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Li_Deep_Unsupervised_Anomaly_Detection_WACV_2021_paper.html",
        "author": "Tangqing Li, Zheng Wang, Siying Liu, Wen-Yan Lin",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Li_Deep_Unsupervised_Anomaly_Detection_WACV_2021_paper.pdf",
        "aff": "National University of Singapore; Singapore Management University; Institute for Infocomm Research, Singapore",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "DeepCFL: Deep Contextual Features Learning From a Single Image",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Mastan_DeepCFL_Deep_Contextual_Features_Learning_From_a_Single_Image_WACV_2021_paper.html",
        "author": "Indra Deep Mastan, Shanmuganathan Raman",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Mastan_DeepCFL_Deep_Contextual_Features_Learning_From_a_Single_Image_WACV_2021_paper.pdf",
        "aff": "Indian Institute of Technology Gandhinagar",
        "project": "",
        "github": "",
        "arxiv": "2011.03712",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "DeepCSR: A 3D Deep Learning Approach for Cortical Surface Reconstruction",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Santa_Cruz_DeepCSR_A_3D_Deep_Learning_Approach_for_Cortical_Surface_Reconstruction_WACV_2021_paper.html",
        "author": "Rodrigo Santa Cruz, Leo Lebrat, Pierrick Bourgeat, Clinton Fookes, Jurgen Fripp, Olivier Salvado",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Santa_Cruz_DeepCSR_A_3D_Deep_Learning_Approach_for_Cortical_Surface_Reconstruction_WACV_2021_paper.pdf",
        "aff": "Image and Video Laboratory, Queensland University of Technology (QUT), Brisbane, QLD, Australia; CSIRO Data61, Brisbane, Australia; CSIRO Health & Biosecurity, The Australian eHealth Research Centre, Brisbane, QLD, Australia",
        "project": "",
        "github": "",
        "arxiv": "2010.11423",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "DeepMark++: Real-Time Clothing Detection at the Edge",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Sidnev_DeepMark_Real-Time_Clothing_Detection_at_the_Edge_WACV_2021_paper.html",
        "author": "Alexey Sidnev, Alexander Krapivin, Alexey Trushkov, Ekaterina Krasikova, Maxim Kazakov, Mikhail Viryasov",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Sidnev_DeepMark_Real-Time_Clothing_Detection_at_the_Edge_WACV_2021_paper.pdf",
        "aff": "National Research University Higher School of Economics, Nizhny Novgorod, Russia; Huawei Research Center, Nizhny Novgorod, Russia",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "DeepOpht: Medical Report Generation for Retinal Images via Deep Models and Visual Explanation",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Huang_DeepOpht_Medical_Report_Generation_for_Retinal_Images_via_Deep_Models_WACV_2021_paper.html",
        "author": "Jia-Hong Huang, C.-H. Huck Yang, Fangyu Liu, Meng Tian, Yi-Chieh Liu, Ting-Wei Wu, I-Hung Lin, Kang Wang, Hiromasa Morikawa, Hernghua Chang, Jesper Tegner, Marcel Worring",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Huang_DeepOpht_Medical_Report_Generation_for_Retinal_Images_via_Deep_Models_WACV_2021_paper.pdf",
        "aff": "",
        "project": "",
        "github": "",
        "arxiv": "2011.00569",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Defect-GAN: High-Fidelity Defect Synthesis for Automated Defect Inspection",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Zhang_Defect-GAN_High-Fidelity_Defect_Synthesis_for_Automated_Defect_Inspection_WACV_2021_paper.html",
        "author": "Gongjie Zhang, Kaiwen Cui, Tzu-Yi Hung, Shijian Lu",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Zhang_Defect-GAN_High-Fidelity_Defect_Synthesis_for_Automated_Defect_Inspection_WACV_2021_paper.pdf",
        "aff": "Delta Research Center, Singapore; Nanyang Technological University",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Defense-Friendly Images in Adversarial Attacks: Dataset and Metrics for Perturbation Difficulty",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Pestana_Defense-Friendly_Images_in_Adversarial_Attacks_Dataset_and_Metrics_for_Perturbation_WACV_2021_paper.html",
        "author": "Camilo Pestana, Wei Liu, David Glance, Ajmal Mian",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Pestana_Defense-Friendly_Images_in_Adversarial_Attacks_Dataset_and_Metrics_for_Perturbation_WACV_2021_paper.pdf",
        "aff": "The University of Western Australia",
        "project": "",
        "github": "",
        "arxiv": "2011.02675",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Deformable Gabor Feature Networks for Biomedical Image Classification",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Gong_Deformable_Gabor_Feature_Networks_for_Biomedical_Image_Classification_WACV_2021_paper.html",
        "author": "Xuan Gong, Xin Xia, Wentao Zhu, Baochang Zhang, David Doermann, Li'an Zhuo",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Gong_Deformable_Gabor_Feature_Networks_for_Biomedical_Image_Classification_WACV_2021_paper.pdf",
        "aff": "Kwai Inc.; University at Buffalo; Beihang University",
        "project": "",
        "github": "",
        "arxiv": "2012.04109",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Dense 3D-Reconstruction From Monocular Image Sequences for Computationally Constrained UAS",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Domnik_Dense_3D-Reconstruction_From_Monocular_Image_Sequences_for_Computationally_Constrained_UAS_WACV_2021_paper.html",
        "author": "Matthias Domnik, Pedro Proenca, Jeff Delaune, Jorg Thiem, Roland Brockers",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Domnik_Dense_3D-Reconstruction_From_Monocular_Image_Sequences_for_Computationally_Constrained_UAS_WACV_2021_paper.pdf",
        "aff": "Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA; University of Applied Sciences and Arts Dortmund, Dortmund, Germany",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Dense-Resolution Network for Point Cloud Classification and Segmentation",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Qiu_Dense-Resolution_Network_for_Point_Cloud_Classification_and_Segmentation_WACV_2021_paper.html",
        "author": "Shi Qiu, Saeed Anwar, Nick Barnes",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Qiu_Dense-Resolution_Network_for_Point_Cloud_Classification_and_Segmentation_WACV_2021_paper.pdf",
        "aff": "Australian National University, Australia; Australian National University, Data61-CSIRO, Australia",
        "project": "",
        "github": "",
        "arxiv": "2005.06734",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Detecting Human-Object Interaction With Mixed Supervision",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Kumaraswamy_Detecting_Human-Object_Interaction_With_Mixed_Supervision_WACV_2021_paper.html",
        "author": "Suresh Kirthi Kumaraswamy, Miaojing Shi, Ewa Kijak",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Kumaraswamy_Detecting_Human-Object_Interaction_With_Mixed_Supervision_WACV_2021_paper.pdf",
        "aff": "Univ Rennes, Inria, CNRS, IRISA; King\u2019s College London; Univ Le Mans, CNRS, IRISA",
        "project": "",
        "github": "",
        "arxiv": "2011.04971",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Disentangled Contour Learning for Quadrilateral Text Detection",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Bi_Disentangled_Contour_Learning_for_Quadrilateral_Text_Detection_WACV_2021_paper.html",
        "author": "Yanguang Bi, Zhiqiang Hu",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Bi_Disentangled_Contour_Learning_for_Quadrilateral_Text_Detection_WACV_2021_paper.pdf",
        "aff": "SenseTime Research",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Distillation Multiple Choice Learning for Multimodal Action Recognition",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Garcia_Distillation_Multiple_Choice_Learning_for_Multimodal_Action_Recognition_WACV_2021_paper.html",
        "author": "Nuno Cruz Garcia, Sarah Adel Bargal, Vitaly Ablavsky, Pietro Morerio, Vittorio Murino, Stan Sclaroff",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Garcia_Distillation_Multiple_Choice_Learning_for_Multimodal_Action_Recognition_WACV_2021_paper.pdf",
        "aff": "Dipartimento di Informatica, University of Verona, Italy; Istituto Italiano di Tecnologia; Ireland Research Center, Huawei Technologies Co. Ltd., Dublin, Ireland; University of Washington; Boston University; Faculdade de Ci\u00eancias, Universidade de Lisboa, Portugal; Copelabs, ULHT, Portugal",
        "project": "",
        "github": "https://github.com/ncgarcia/DMCL",
        "arxiv": "1912.10982",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Do Not Forget to Attend to Uncertainty While Mitigating Catastrophic Forgetting",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Kurmi_Do_Not_Forget_to_Attend_to_Uncertainty_While_Mitigating_Catastrophic_WACV_2021_paper.html",
        "author": "Vinod K. Kurmi, Badri N. Patro, Venkatesh K. Subramanian, Vinay P. Namboodiri",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Kurmi_Do_Not_Forget_to_Attend_to_Uncertainty_While_Mitigating_Catastrophic_WACV_2021_paper.pdf",
        "aff": "IIT Kanpur; University of Bath",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Do We Really Need Gold Samples for Sample Weighting Under Label Noise?",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Ghosh_Do_We_Really_Need_Gold_Samples_for_Sample_Weighting_Under_WACV_2021_paper.html",
        "author": "Aritra Ghosh, Andrew Lan",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Ghosh_Do_We_Really_Need_Gold_Samples_for_Sample_Weighting_Under_WACV_2021_paper.pdf",
        "aff": "University of Massachusetts Amherst, Amherst, MA, USA",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "DocVQA: A Dataset for VQA on Document Images",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Mathew_DocVQA_A_Dataset_for_VQA_on_Document_Images_WACV_2021_paper.html",
        "author": "Minesh Mathew, Dimosthenis Karatzas, C.V. Jawahar",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Mathew_DocVQA_A_Dataset_for_VQA_on_Document_Images_WACV_2021_paper.pdf",
        "aff": "Computer Vision Center, UAB, Spain; CVIT, IIIT Hyderabad, India",
        "project": "http://docvqa.org",
        "github": "",
        "arxiv": "2007.00398",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Domain Impression: A Source Data Free Domain Adaptation Method",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Kurmi_Domain_Impression_A_Source_Data_Free_Domain_Adaptation_Method_WACV_2021_paper.html",
        "author": "Vinod K. Kurmi, Venkatesh K. Subramanian, Vinay P. Namboodiri",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Kurmi_Domain_Impression_A_Source_Data_Free_Domain_Adaptation_Method_WACV_2021_paper.pdf",
        "aff": "IIT Kanpur; University of Bath",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Domain-Adaptive Few-Shot Learning",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Zhao_Domain-Adaptive_Few-Shot_Learning_WACV_2021_paper.html",
        "author": "An Zhao, Mingyu Ding, Zhiwu Lu, Tao Xiang, Yulei Niu, Jiechao Guan, Ji-Rong Wen",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Zhao_Domain-Adaptive_Few-Shot_Learning_WACV_2021_paper.pdf",
        "aff": "Nanyang Technological University, Singapore; The University of Hong Kong; University of Surrey, United Kingdom; Gaoling School of Arti\ufb01cial Intelligence, Renmin University of China",
        "project": "",
        "github": "https://github.com/dingmyu/DAPN",
        "arxiv": "2003.08626",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Domain-Aware Unsupervised Hyperspectral Reconstruction for Aerial Image Dehazing",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Mehta_Domain-Aware_Unsupervised_Hyperspectral_Reconstruction_for_Aerial_Image_Dehazing_WACV_2021_paper.html",
        "author": "Aditya Mehta, Harsh Sinha, Murari Mandal, Pratik Narang",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Mehta_Domain-Aware_Unsupervised_Hyperspectral_Reconstruction_for_Aerial_Image_Dehazing_WACV_2021_paper.pdf",
        "aff": "Department of CSIS, BITS Pilani, India; Department of CSE, IIIT Kota, India",
        "project": "",
        "github": "",
        "arxiv": "2011.03677",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Driver Anomaly Detection: A Dataset and Contrastive Learning Approach",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Kopuklu_Driver_Anomaly_Detection_A_Dataset_and_Contrastive_Learning_Approach_WACV_2021_paper.html",
        "author": "Okan Kopuklu, Jiapeng Zheng, Hang Xu, Gerhard Rigoll",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Kopuklu_Driver_Anomaly_Detection_A_Dataset_and_Contrastive_Learning_Approach_WACV_2021_paper.pdf",
        "aff": "Technical University of Munich",
        "project": "",
        "github": "https://github.com/okankop/Driver-Anomaly-Detection",
        "arxiv": "2009.14660",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Driving Among Flatmobiles: Bird-Eye-View Occupancy Grids From a Monocular Camera for Holistic Trajectory Planning",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Loukkal_Driving_Among_Flatmobiles_Bird-Eye-View_Occupancy_Grids_From_a_Monocular_Camera_WACV_2021_paper.html",
        "author": "Abdelhak Loukkal, Yves Grandvalet, Tom Drummond, You Li",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Loukkal_Driving_Among_Flatmobiles_Bird-Eye-View_Occupancy_Grids_From_a_Monocular_Camera_WACV_2021_paper.pdf",
        "aff": "Renault S.A.S, Guyancourt, France; Monash University, department of Electrical and Computer Systems Engineering, Australia; Universit \u00b4e de technologie de Compi `egne, CNRS, Heudiasyc UMR 7253, France",
        "project": "",
        "github": "",
        "arxiv": "2008.04047",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Dual-Stream Fusion Network for Spatiotemporal Video Super-Resolution",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Tseng_Dual-Stream_Fusion_Network_for_Spatiotemporal_Video_Super-Resolution_WACV_2021_paper.html",
        "author": "Min-Yuan Tseng, Yen-Chung Chen, Yi-Lun Lee, Wei-Sheng Lai, Yi-Hsuan Tsai, Wei-Chen Chiu",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Tseng_Dual-Stream_Fusion_Network_for_Spatiotemporal_Video_Super-Resolution_WACV_2021_paper.pdf",
        "aff": "NEC Labs America; National Chiao Tung University; Google",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "DualSANet: Dual Spatial Attention Network for Iris Recognition",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Yang_DualSANet_Dual_Spatial_Attention_Network_for_Iris_Recognition_WACV_2021_paper.html",
        "author": "Kai Yang, Zihao Xu, Jingjing Fei",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Yang_DualSANet_Dual_Spatial_Attention_Network_for_Iris_Recognition_WACV_2021_paper.pdf",
        "aff": "SenseTime Research, Shanghai, China",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "DualSR: Zero-Shot Dual Learning for Real-World Super-Resolution",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Emad_DualSR_Zero-Shot_Dual_Learning_for_Real-World_Super-Resolution_WACV_2021_paper.html",
        "author": "Mohammad Emad, Maurice Peemen, Henk Corporaal",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Emad_DualSR_Zero-Shot_Dual_Learning_for_Real-World_Super-Resolution_WACV_2021_paper.pdf",
        "aff": "Eindhoven University of Technology, Eindhoven, The Netherlands; Thermo Fisher Scientific, Eindhoven, The Netherlands",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "DynaVSR: Dynamic Adaptive Blind Video Super-Resolution",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Lee_DynaVSR_Dynamic_Adaptive_Blind_Video_Super-Resolution_WACV_2021_paper.html",
        "author": "Suyoung Lee, Myungsub Choi, Kyoung Mu Lee",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Lee_DynaVSR_Dynamic_Adaptive_Blind_Video_Super-Resolution_WACV_2021_paper.pdf",
        "aff": "ASRI, Department of ECE, Seoul National University",
        "project": "",
        "github": "",
        "arxiv": "2011.04482",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Dynamic Plane Convolutional Occupancy Networks",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Lionar_Dynamic_Plane_Convolutional_Occupancy_Networks_WACV_2021_paper.html",
        "author": "Stefan Lionar, Daniil Emtsev, Dusan Svilarkovic, Songyou Peng",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Lionar_Dynamic_Plane_Convolutional_Occupancy_Networks_WACV_2021_paper.pdf",
        "aff": "ETH Zurich; ETH Zurich, Max Planck ETH Center for Learning Systems",
        "project": "",
        "github": "https://github.com/dsvilarkovic/dynamic_plane_convolutional_onet",
        "arxiv": "2011.05813",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Dynamic Routing Networks",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Cai_Dynamic_Routing_Networks_WACV_2021_paper.html",
        "author": "Shaofeng Cai, Yao Shu, Wei Wang",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Cai_Dynamic_Routing_Networks_WACV_2021_paper.pdf",
        "aff": "National University of Singapore",
        "project": "",
        "github": "",
        "arxiv": "1905.04849",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "EAGLE-Eye: Extreme-Pose Action Grader Using Detail Bird's-Eye View",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Nekoui_EAGLE-Eye_Extreme-Pose_Action_Grader_Using_Detail_Birds-Eye_View_WACV_2021_paper.html",
        "author": "Mahdiar Nekoui, Fidel Omar Tito Cruz, Li Cheng",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Nekoui_EAGLE-Eye_Extreme-Pose_Action_Grader_Using_Detail_Birds-Eye_View_WACV_2021_paper.pdf",
        "aff": "University of Alberta; Universidad Nacional de Ingenier\u00eda",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "EDEN: Multimodal Synthetic Dataset of Enclosed GarDEN Scenes",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Le_EDEN_Multimodal_Synthetic_Dataset_of_Enclosed_GarDEN_Scenes_WACV_2021_paper.html",
        "author": "Hoang-An Le, Thomas Mensink, Partha Das, Sezer Karaoglu, Theo Gevers",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Le_EDEN_Multimodal_Synthetic_Dataset_of_Enclosed_GarDEN_Scenes_WACV_2021_paper.pdf",
        "aff": "Google Research Amsterdam; Computer Vision lab, University of Amsterdam; 3DUniversum, Amsterdam",
        "project": "https://lhoangan.github.io/eden",
        "github": "https://github.com/lhoangan/eden",
        "arxiv": "2011.04389",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "EVET: Enhancing Visual Explanations of Deep Neural Networks Using Image Transformations",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Oh_EVET_Enhancing_Visual_Explanations_of_Deep_Neural_Networks_Using_Image_WACV_2021_paper.html",
        "author": "Youngrock Oh, Hyungsik Jung, Jeonghyung Park, Min Soo Kim",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Oh_EVET_Enhancing_Visual_Explanations_of_Deep_Neural_Networks_Using_Image_WACV_2021_paper.pdf",
        "aff": "; Technology Research, Samsung SDS, Seoul, Republic of Korea",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Effective Fusion Factor in FPN for Tiny Object Detection",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Gong_Effective_Fusion_Factor_in_FPN_for_Tiny_Object_Detection_WACV_2021_paper.html",
        "author": "Yuqi Gong, Xuehui Yu, Yao Ding, Xiaoke Peng, Jian Zhao, Zhenjun Han",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Gong_Effective_Fusion_Factor_in_FPN_for_Tiny_Object_Detection_WACV_2021_paper.pdf",
        "aff": "University of Chinese Academy of Sciences, Beijing, China; Institute of North Electronic Equipment, Beijing, China",
        "project": "",
        "github": "",
        "arxiv": "2011.02298",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Effectiveness of Arbitrary Transfer Sets for Data-Free Knowledge Distillation",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Nayak_Effectiveness_of_Arbitrary_Transfer_Sets_for_Data-Free_Knowledge_Distillation_WACV_2021_paper.html",
        "author": "Gaurav Kumar Nayak, Konda Reddy Mopuri, Anirban Chakraborty",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Nayak_Effectiveness_of_Arbitrary_Transfer_Sets_for_Data-Free_Knowledge_Distillation_WACV_2021_paper.pdf",
        "aff": "Indian Institute of Technology, Tirupati, India; Indian Institute of Science, Bangalore, India",
        "project": "",
        "github": "",
        "arxiv": "2011.09113",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Efficient 3D Video Engine Using Frame Redundancy",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Peng_Efficient_3D_Video_Engine_Using_Frame_Redundancy_WACV_2021_paper.html",
        "author": "Gao Peng, Bo Pang, Cewu Lu",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Peng_Efficient_3D_Video_Engine_Using_Frame_Redundancy_WACV_2021_paper.pdf",
        "aff": "Shanghai Jiao Tong University, Qing Yuan Research Institute, MoE Key Lab of Arti\ufb01cial Intelligence, AI Institute, Shanghai Qi Zhi institute; Shanghai Jiao Tong University",
        "project": "",
        "github": "https://github.com/ecr23xx/eve",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Efficient Attention: Attention With Linear Complexities",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Shen_Efficient_Attention_Attention_With_Linear_Complexities_WACV_2021_paper.html",
        "author": "Zhuoran Shen, Mingyuan Zhang, Haiyu Zhao, Shuai Yi, Hongsheng Li",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Shen_Efficient_Attention_Attention_With_Linear_Complexities_WACV_2021_paper.pdf",
        "aff": "Independent Researcher, 4244 University Way NE #85406, Seattle, WA 98105, United States; SenseTime International, 182 Cecil Street, #36-02 Frasers Tower, Singapore 069547; The Chinese University of Hong Kong, Sha Tin, Hong Kong",
        "project": "",
        "github": "https://github.com/cmsflash/efficient-attention",
        "arxiv": "1812.01243",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Efficient Real-Time Radial Distortion Correction for UAVs",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Ornhag_Efficient_Real-Time_Radial_Distortion_Correction_for_UAVs_WACV_2021_paper.html",
        "author": "Marcus Valtonen Ornhag, Patrik Persson, Marten Wadenback, Kalle Astrom, Anders Heyden",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Ornhag_Efficient_Real-Time_Radial_Distortion_Correction_for_UAVs_WACV_2021_paper.pdf",
        "aff": "Department of Electrical Engineering, Link \u00a8oping University; Centre for Mathematical Sciences, Lund University",
        "project": "",
        "github": "https://github.com/marcusvaltonen/HomLib",
        "arxiv": "2010.04203",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Efficient Video Annotation With Visual Interpolation and Frame Selection Guidance",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Kuznetsova_Efficient_Video_Annotation_With_Visual_Interpolation_and_Frame_Selection_Guidance_WACV_2021_paper.html",
        "author": "Alina Kuznetsova, Aakrati Talati, Yiwen Luo, Keith Simmons, Vittorio Ferrari",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Kuznetsova_Efficient_Video_Annotation_With_Visual_Interpolation_and_Frame_Selection_Guidance_WACV_2021_paper.pdf",
        "aff": "Google Research",
        "project": "",
        "github": "",
        "arxiv": "2012.12554",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Ellipse Detection and Localization With Applications to Knots in Sawn Lumber Images",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Pan_Ellipse_Detection_and_Localization_With_Applications_to_Knots_in_Sawn_WACV_2021_paper.html",
        "author": "Shenyi Pan, Shuxian Fan, Samuel W.K. Wong, James V. Zidek, Helge Rhodin",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Pan_Ellipse_Detection_and_Localization_With_Applications_to_Knots_in_Sawn_WACV_2021_paper.pdf",
        "aff": "University of British Columbia; University of Washington; University of Waterloo",
        "project": "",
        "github": "",
        "arxiv": "2011.04844",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Embedded Dense Camera Trajectories in Multi-Video Image Mosaics by Geodesic Interpolation-Based Reintegration",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Haalck_Embedded_Dense_Camera_Trajectories_in_Multi-Video_Image_Mosaics_by_Geodesic_WACV_2021_paper.html",
        "author": "Lars Haalck, Benjamin Risse",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Haalck_Embedded_Dense_Camera_Trajectories_in_Multi-Video_Image_Mosaics_by_Geodesic_WACV_2021_paper.pdf",
        "aff": "University of M\u00fcnster",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "End-to-End Chinese Landscape Painting Creation Using Generative Adversarial Networks",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Xue_End-to-End_Chinese_Landscape_Painting_Creation_Using_Generative_Adversarial_Networks_WACV_2021_paper.html",
        "author": "Alice Xue",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Xue_End-to-End_Chinese_Landscape_Painting_Creation_Using_Generative_Adversarial_Networks_WACV_2021_paper.pdf",
        "aff": "Princeton University, Princeton, NJ 08544",
        "project": "",
        "github": "",
        "arxiv": "2011.05552",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "End-to-End Lane Shape Prediction With Transformers",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Liu_End-to-End_Lane_Shape_Prediction_With_Transformers_WACV_2021_paper.html",
        "author": "Ruijin Liu, Zejian Yuan, Tie Liu, Zhiliang Xiong",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Liu_End-to-End_Lane_Shape_Prediction_With_Transformers_WACV_2021_paper.pdf",
        "aff": "College of Information Engineering, Capital Normal University, China; Shenzhen Forward Innovation Digital Technology Co. Ltd, China; Institute of Arti\ufb01cial Intelligence and Robotics, Xi\u2019an Jiaotong Unversity, China",
        "project": "",
        "github": "https://github.com/liuruijin17/LSTR",
        "arxiv": "2011.04233",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "End-to-End Learning Improves Static Object Geo-Localization From Video",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Chaabane_End-to-End_Learning_Improves_Static_Object_Geo-Localization_From_Video_WACV_2021_paper.html",
        "author": "Mohamed Chaabane, Lionel Gueguen, Ameni Trabelsi, Ross Beveridge, Stephen O'Hara",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Chaabane_End-to-End_Learning_Improves_Static_Object_Geo-Localization_From_Video_WACV_2021_paper.pdf",
        "aff": "Colorado State University, Fort Collins CO 80523, USA; Uber Advanced Technologies Group, Louisville CO 80027",
        "project": "",
        "github": "https://github.com/MedChaabane/Static_Objects_Geolocalization",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Enhancing Diversity in Teacher-Student Networks via Asymmetric Branches for Unsupervised Person Re-Identification",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Chen_Enhancing_Diversity_in_Teacher-Student_Networks_via_Asymmetric_Branches_for_Unsupervised_WACV_2021_paper.html",
        "author": "Hao Chen, Benoit Lagadec, Francois Bremond",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Chen_Enhancing_Diversity_in_Teacher-Student_Networks_via_Asymmetric_Branches_for_Unsupervised_WACV_2021_paper.pdf",
        "aff": "University of C\u00f4te d\u2019Azur, Inria, Stars Project-Team, France; European Systems Integration, France",
        "project": "",
        "github": "https://github.com/chenhao2345/ABMT",
        "arxiv": "2011.13776",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Ensembling Low Precision Models for Binary Biomedical Image Segmentation",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Ma_Ensembling_Low_Precision_Models_for_Binary_Biomedical_Image_Segmentation_WACV_2021_paper.html",
        "author": "Tianyu Ma, Hang Zhang, Hanley Ong, Amar Vora, Thanh D. Nguyen, Ajay Gupta, Yi Wang, Mert R. Sabuncu",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Ma_Ensembling_Low_Precision_Models_for_Binary_Biomedical_Image_Segmentation_WACV_2021_paper.pdf",
        "aff": "Cornell University; Weill Cornell Medical College",
        "project": "",
        "github": "",
        "arxiv": "2010.08648",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "EvidentialMix: Learning With Combined Open-Set and Closed-Set Noisy Labels",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Sachdeva_EvidentialMix_Learning_With_Combined_Open-Set_and_Closed-Set_Noisy_Labels_WACV_2021_paper.html",
        "author": "Ragav Sachdeva, Filipe R. Cordeiro, Vasileios Belagiannis, Ian Reid, Gustavo Carneiro",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Sachdeva_EvidentialMix_Learning_With_Combined_Open-Set_and_Closed-Set_Noisy_Labels_WACV_2021_paper.pdf",
        "aff": "University of Adelaide, Adelaide, Australia; Universit \u00a8at Ulm, Ulm, Germany; Universidade Federal Rural de Pernambuco, Recife, Brazil",
        "project": "",
        "github": "https://github.com/ragavsachdeva/EvidentialMix",
        "arxiv": "2011.05704",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "ExMaps: Long-Term Localization in Dynamic Scenes Using Exponential Decay",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Rotsidis_ExMaps_Long-Term_Localization_in_Dynamic_Scenes_Using_Exponential_Decay_WACV_2021_paper.html",
        "author": "Alexandros Rotsidis, Christof Lutteroth, Peter Hall, Christian Richardt",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Rotsidis_ExMaps_Long-Term_Localization_in_Dynamic_Scenes_Using_Exponential_Decay_WACV_2021_paper.pdf",
        "aff": "Centre for Digital Entertainment, University of Bath, United Kingdom",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Exploiting Spatial Relation for Reducing Distortion in Style Transfer",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Chang_Exploiting_Spatial_Relation_for_Reducing_Distortion_in_Style_Transfer_WACV_2021_paper.html",
        "author": "Jia-Ren Chang, Yong-Sheng Chen",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Chang_Exploiting_Spatial_Relation_for_Reducing_Distortion_in_Style_Transfer_WACV_2021_paper.pdf",
        "aff": "National Chiao Tung University, Taiwan; National Chiao Tung University, Taiwan; aetherAI",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Exploiting the Redundancy in Convolutional Filters for Parameter Reduction",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Kahatapitiya_Exploiting_the_Redundancy_in_Convolutional_Filters_for_Parameter_Reduction_WACV_2021_paper.html",
        "author": "Kumara Kahatapitiya, Ranga Rodrigo",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Kahatapitiya_Exploiting_the_Redundancy_in_Convolutional_Filters_for_Parameter_Reduction_WACV_2021_paper.pdf",
        "aff": "University of Moratuwa, Sri Lanka; Stony Brook University, Stony Brook, NY",
        "project": "",
        "github": "https://github.com/kkahatapitiya/LinearConv",
        "arxiv": "1907.11432",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Exploration of Spatial and Temporal Modeling Alternatives for HOI",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Dabral_Exploration_of_Spatial_and_Temporal_Modeling_Alternatives_for_HOI_WACV_2021_paper.html",
        "author": "Rishabh Dabral, Srijon Sarkar, Sai Praneeth Reddy, Ganesh Ramakrishnan",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Dabral_Exploration_of_Spatial_and_Temporal_Modeling_Alternatives_for_HOI_WACV_2021_paper.pdf",
        "aff": "Department of Computer Science, IIT Bombay",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "FACEGAN: Facial Attribute Controllable rEenactment GAN",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Tripathy_FACEGAN_Facial_Attribute_Controllable_rEenactment_GAN_WACV_2021_paper.html",
        "author": "Soumya Tripathy, Juho Kannala, Esa Rahtu",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Tripathy_FACEGAN_Facial_Attribute_Controllable_rEenactment_GAN_WACV_2021_paper.pdf",
        "aff": "Aalto University, Finland; Tampere University, Finland",
        "project": "",
        "github": "",
        "arxiv": "2011.04439",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Faces a la Carte: Text-to-Face Generation via Attribute Disentanglement",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Wang_Faces_a_la_Carte_Text-to-Face_Generation_via_Attribute_Disentanglement_WACV_2021_paper.html",
        "author": "Tianren Wang, Teng Zhang, Brian Lovell",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Wang_Faces_a_la_Carte_Text-to-Face_Generation_via_Attribute_Disentanglement_WACV_2021_paper.pdf",
        "aff": "The University of Queensland, St Lucia, Brisbane, Australia, Qld 4072",
        "project": "",
        "github": "",
        "arxiv": "2006.07606",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Facial Emotion Recognition With Noisy Multi-Task Annotations",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Zhang_Facial_Emotion_Recognition_With_Noisy_Multi-Task_Annotations_WACV_2021_paper.html",
        "author": "Siwei Zhang, Zhiwu Huang, Danda Pani Paudel, Luc Van Gool",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Zhang_Facial_Emotion_Recognition_With_Noisy_Multi-Task_Annotations_WACV_2021_paper.pdf",
        "aff": "Computer Vision Lab, ETH Z\u00fcrich, Switzerland; VISICS, KU Leuven, Belgium; Computer Vision Lab, ETH Z\u00fcrich, Switzerland",
        "project": "",
        "github": "https://github.com/sanweiliti/noisyFER",
        "arxiv": "2010.09849",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Facial Expression Recognition in the Wild via Deep Attentive Center Loss",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Farzaneh_Facial_Expression_Recognition_in_the_Wild_via_Deep_Attentive_Center_WACV_2021_paper.html",
        "author": "Amir Hossein Farzaneh, Xiaojun Qi",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Farzaneh_Facial_Expression_Recognition_in_the_Wild_via_Deep_Attentive_Center_WACV_2021_paper.pdf",
        "aff": "Department of Computer Science, Utah State University, Logan, UT 84322, USA",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Fair Comparison: Quantifying Variance in Results for Fine-Grained Visual Categorization",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Gwilliam_Fair_Comparison_Quantifying_Variance_in_Results_for_Fine-Grained_Visual_Categorization_WACV_2021_paper.html",
        "author": "Matthew Gwilliam, Adam Teuscher, Connor Anderson, Ryan Farrell",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Gwilliam_Fair_Comparison_Quantifying_Variance_in_Results_for_Fine-Grained_Visual_Categorization_WACV_2021_paper.pdf",
        "aff": "Brigham Young University, University of Maryland; Brigham Young University",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "FairFace: Face Attribute Dataset for Balanced Race, Gender, and Age for Bias Measurement and Mitigation",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Karkkainen_FairFace_Face_Attribute_Dataset_for_Balanced_Race_Gender_and_Age_WACV_2021_paper.html",
        "author": "Kimmo Karkkainen, Jungseock Joo",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Karkkainen_FairFace_Face_Attribute_Dataset_for_Balanced_Race_Gender_and_Age_WACV_2021_paper.pdf",
        "aff": "UCLA",
        "project": "",
        "github": "https://github.com/joojs/fairface",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Fast Fourier Intrinsic Network",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Qian_Fast_Fourier_Intrinsic_Network_WACV_2021_paper.html",
        "author": "Yanlin Qian, Miaojing Shi, Joni-Kristian Kamarainen, Jiri Matas",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Qian_Fast_Fourier_Intrinsic_Network_WACV_2021_paper.pdf",
        "aff": "Computing Sciences, Tampere University; Center for Machine Perception, Czech Technical University in Prague; Department of Informatics, King\u2019s College London",
        "project": "",
        "github": "",
        "arxiv": "2011.04612",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Fast Kernelized Correlation Filter Without Boundary Effect",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Tang_Fast_Kernelized_Correlation_Filter_Without_Boundary_Effect_WACV_2021_paper.html",
        "author": "Ming Tang, Linyu Zheng, Bin Yu, Jinqiao Wang",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Tang_Fast_Kernelized_Correlation_Filter_Without_Boundary_Effect_WACV_2021_paper.pdf",
        "aff": "School of Arti\ufb01cial Intelligence, University of Chinese Academy of Sciences, Beijing 100049, China; ObjectEye Inc.; National Lab of Pattern Recognition, Institute of Automation, CAS, Beijing 100190, China",
        "project": "",
        "github": "",
        "arxiv": "1806.06406",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Fast Pose Graph Optimization via Krylov-Schur and Cholesky Factorization",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Moreira_Fast_Pose_Graph_Optimization_via_Krylov-Schur_and_Cholesky_Factorization_WACV_2021_paper.html",
        "author": "Gabriel Moreira, Manuel Marques, Joao Paulo Costeira",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Moreira_Fast_Pose_Graph_Optimization_via_Krylov-Schur_and_Cholesky_Factorization_WACV_2021_paper.pdf",
        "aff": "Institute for Systems and Robotics, Instituto Superior T\u00e9cnico, Av. Rovisco Pais, Lisboa, Portugal",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Few-Shot Font Style Transfer Between Different Languages",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Li_Few-Shot_Font_Style_Transfer_Between_Different_Languages_WACV_2021_paper.html",
        "author": "Chenhao Li, Yuta Taniguchi, Min Lu, Shin'ichi Konomi",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Li_Few-Shot_Font_Style_Transfer_Between_Different_Languages_WACV_2021_paper.pdf",
        "aff": "HDI Lab, Kyushu University",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Few-Shot Learning via Feature Hallucination With Variational Inference",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Luo_Few-Shot_Learning_via_Feature_Hallucination_With_Variational_Inference_WACV_2021_paper.html",
        "author": "Qinxuan Luo, Lingfeng Wang, Jingguo Lv, Shiming Xiang, Chunhong Pan",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Luo_Few-Shot_Learning_via_Feature_Hallucination_With_Variational_Inference_WACV_2021_paper.pdf",
        "aff": "1NLPR, Institute of Automation, Chinese Academy of Sciences; 2School of Arti\ufb01cial Intelligence, University of Chinese Academy of Sciences; 1NLPR, Institute of Automation, Chinese Academy of Sciences; 1NLPR, Institute of Automation, Chinese Academy of Sciences; 3Key Laboratory of Knowledge Automation for Industrial Processes, Ministry of Education; 4School of Geomatics and Urban Spatial Informatics, Beijing University of Civil Engineering and Architecture",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Fine-Grained Foreground Retrieval via Teacher-Student Learning",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Wu_Fine-Grained_Foreground_Retrieval_via_Teacher-Student_Learning_WACV_2021_paper.html",
        "author": "Zongze Wu, Dani Lischinski, Eli Shechtman",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Wu_Fine-Grained_Foreground_Retrieval_via_Teacher-Student_Learning_WACV_2021_paper.pdf",
        "aff": "Adobe Research; Hebrew University",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "FlowCaps: Optical Flow Estimation With Capsule Networks for Action Recognition",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Jayasundara_FlowCaps_Optical_Flow_Estimation_With_Capsule_Networks_for_Action_Recognition_WACV_2021_paper.html",
        "author": "Vinoj Jayasundara, Debaditya Roy, Basura Fernando",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Jayasundara_FlowCaps_Optical_Flow_Estimation_With_Capsule_Networks_for_Action_Recognition_WACV_2021_paper.pdf",
        "aff": "SCC, IHPC, A*STAR, Singapore.",
        "project": "",
        "github": "",
        "arxiv": "2011.03958",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Focus and Retain: Complement the Broken Pose in Human Image Synthesis",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Ge_Focus_and_Retain_Complement_the_Broken_Pose_in_Human_Image_WACV_2021_paper.html",
        "author": "Pu Ge, Qiushi Huang, Wei Xiang, Xue Jing, Yule Li, Yiyong Li, Zhun Sun",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Ge_Focus_and_Retain_Complement_the_Broken_Pose_in_Human_Image_WACV_2021_paper.pdf",
        "aff": "Bigo Technology PTE. LTD, Singapore",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Foreground Color Prediction Through Inverse Compositing",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Lutz_Foreground_Color_Prediction_Through_Inverse_Compositing_WACV_2021_paper.html",
        "author": "Sebastian Lutz, Aljosa Smolic",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Lutz_Foreground_Color_Prediction_Through_Inverse_Compositing_WACV_2021_paper.pdf",
        "aff": "V-SENSE, Trinity College Dublin",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Foreground-Aware Semantic Representations for Image Harmonization",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Sofiiuk_Foreground-Aware_Semantic_Representations_for_Image_Harmonization_WACV_2021_paper.html",
        "author": "Konstantin Sofiiuk, Polina Popenova, Anton Konushin",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Sofiiuk_Foreground-Aware_Semantic_Representations_for_Image_Harmonization_WACV_2021_paper.pdf",
        "aff": "Samsung AI Center \u2013 Moscow",
        "project": "",
        "github": "available publicly (\u7684\u5177\u4f53\u94fe\u63a5\u672a\u63d0\u4f9b)",
        "arxiv": "2006.00809",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "From Generalized Zero-Shot Learning to Long-Tail With Class Descriptors",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Samuel_From_Generalized_Zero-Shot_Learning_to_Long-Tail_With_Class_Descriptors_WACV_2021_paper.html",
        "author": "Dvir Samuel, Yuval Atzmon, Gal Chechik",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Samuel_From_Generalized_Zero-Shot_Learning_to_Long-Tail_With_Class_Descriptors_WACV_2021_paper.pdf",
        "aff": "Bar-Ilan University, Ramat Gan, Israel & NVIDIA Research, Tel Aviv, Israel; NVIDIA Research, Tel Aviv, Israel; Bar-Ilan University, Ramat Gan, Israel",
        "project": "",
        "github": "",
        "arxiv": "2004.02235",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Fusion Learning Using Semantics and Graph Convolutional Network for Visual Food Recognition",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Zhao_Fusion_Learning_Using_Semantics_and_Graph_Convolutional_Network_for_Visual_WACV_2021_paper.html",
        "author": "Heng Zhao, Kim-Hui Yap, Alex Chichung Kot",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Zhao_Fusion_Learning_Using_Semantics_and_Graph_Convolutional_Network_for_Visual_WACV_2021_paper.pdf",
        "aff": "School of Electrical and Electronic Engineering, Nanyang Technological University",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Future Moment Assessment for Action Query",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Ke_Future_Moment_Assessment_for_Action_Query_WACV_2021_paper.html",
        "author": "Qiuhong Ke, Mario Fritz, Bernt Schiele",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Ke_Future_Moment_Assessment_for_Action_Query_WACV_2021_paper.pdf",
        "aff": "Max Planck Institute for Informatics, Saarbr\u00fccken, Germany; The University of Melbourne, Melbourne, Australia; CISPA Helmholtz Center for Information Security, Saarbr\u00fccken, Germany",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "G2D: Generate to Detect Anomaly",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Pourreza_G2D_Generate_to_Detect_Anomaly_WACV_2021_paper.html",
        "author": "Masoud Pourreza, Bahram Mohammadi, Mostafa Khaki, Samir Bouindour, Hichem Snoussi, Mohammad Sabokrou",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Pourreza_G2D_Generate_to_Detect_Anomaly_WACV_2021_paper.pdf",
        "aff": "Sharif University of Tech.; Institute for Research in Fundamental Sciences; University of Technology of Troyes",
        "project": "",
        "github": "",
        "arxiv": "2006.11629",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Generalized Object Detection on Fisheye Cameras for Autonomous Driving: Dataset, Representations and Baseline",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Rashed_Generalized_Object_Detection_on_Fisheye_Cameras_for_Autonomous_Driving_Dataset_WACV_2021_paper.html",
        "author": "Hazem Rashed, Eslam Mohamed, Ganesh Sistu, Varun Ravi Kumar, Ciaran Eising, Ahmad El-Sallab, Senthil Yogamani",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Rashed_Generalized_Object_Detection_on_Fisheye_Cameras_for_Autonomous_Driving_Dataset_WACV_2021_paper.pdf",
        "aff": "University of Limerick, Ireland; Valeo DAR Kronach, Germany; Valeo R&D, Egypt; Valeo Vision Systems, Ireland",
        "project": "https://youtu.be/iLkOzvJpL-A",
        "github": "",
        "arxiv": "2012.02124",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Generating Physically Sound Training Data for Image Recognition of Additively Manufactured Parts",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Nickchen_Generating_Physically_Sound_Training_Data_for_Image_Recognition_of_Additively_WACV_2021_paper.html",
        "author": "Tobias Nickchen, Stefan Heindorf, Gregor Engels",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Nickchen_Generating_Physically_Sound_Training_Data_for_Image_Recognition_of_Additively_WACV_2021_paper.pdf",
        "aff": "Paderborn University",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Generative Patch Priors for Practical Compressive Image Recovery",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Anirudh_Generative_Patch_Priors_for_Practical_Compressive_Image_Recovery_WACV_2021_paper.html",
        "author": "Rushil Anirudh, Suhas Lohit, Pavan Turaga",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Anirudh_Generative_Patch_Priors_for_Practical_Compressive_Image_Recovery_WACV_2021_paper.pdf",
        "aff": "Arizona State University, Tempe, AZ; Misubishi Electric Research Laboratories, Cambridge, MA; Lawrence Livermore National Laboratory, Livermore, CA",
        "project": "",
        "github": "https://github.com/rushilanirudh/GPP",
        "arxiv": "2006.10873",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Global Table Extractor (GTE): A Framework for Joint Table Identification and Cell Structure Recognition Using Visual Context",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Zheng_Global_Table_Extractor_GTE_A_Framework_for_Joint_Table_Identification_WACV_2021_paper.html",
        "author": "Xinyi Zheng, Douglas Burdick, Lucian Popa, Xu Zhong, Nancy Xin Ru Wang",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Zheng_Global_Table_Extractor_GTE_A_Framework_for_Joint_Table_Identification_WACV_2021_paper.pdf",
        "aff": "IBM Research-Almaden; University of Michigan; IBM Research Australia",
        "project": "",
        "github": "",
        "arxiv": "2005.00589",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "GlocalNet: Class-Aware Long-Term Human Motion Synthesis",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Battan_GlocalNet_Class-Aware_Long-Term_Human_Motion_Synthesis_WACV_2021_paper.html",
        "author": "Neeraj Battan, Yudhik Agrawal, Sai Soorya Rao, Aman Goel, Avinash Sharma",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Battan_GlocalNet_Class-Aware_Long-Term_Human_Motion_Synthesis_WACV_2021_paper.pdf",
        "aff": "International Institute of Information Technology, Hyderabad",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Goal-Driven Long-Term Trajectory Prediction",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Tran_Goal-Driven_Long-Term_Trajectory_Prediction_WACV_2021_paper.html",
        "author": "Hung Tran, Vuong Le, Truyen Tran",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Tran_Goal-Driven_Long-Term_Trajectory_Prediction_WACV_2021_paper.pdf",
        "aff": "Applied AI Institute, Deakin University, Geelong, Australia",
        "project": "",
        "github": "",
        "arxiv": "2011.02751",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "GraphTCN: Spatio-Temporal Interaction Modeling for Human Trajectory Prediction",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Wang_GraphTCN_Spatio-Temporal_Interaction_Modeling_for_Human_Trajectory_Prediction_WACV_2021_paper.html",
        "author": "Chengxin Wang, Shaofeng Cai, Gary Tan",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Wang_GraphTCN_Spatio-Temporal_Interaction_Modeling_for_Human_Trajectory_Prediction_WACV_2021_paper.pdf",
        "aff": "National University of Singapore",
        "project": "",
        "github": "",
        "arxiv": "2003.07167",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Group Softmax Loss With Discriminative Feature Grouping",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Kobayashi_Group_Softmax_Loss_With_Discriminative_Feature_Grouping_WACV_2021_paper.html",
        "author": "Takumi Kobayashi",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Kobayashi_Group_Softmax_Loss_With_Discriminative_Feature_Grouping_WACV_2021_paper.pdf",
        "aff": "National Institute of Advanced Industrial Science and Technology, 1-1-1 Umezono, Tsukuba, Japan",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Guided Attentive Feature Fusion for Multispectral Pedestrian Detection",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Zhang_Guided_Attentive_Feature_Fusion_for_Multispectral_Pedestrian_Detection_WACV_2021_paper.html",
        "author": "Heng Zhang, Elisa Fromont, Sebastien Lefevre, Bruno Avignon",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Zhang_Guided_Attentive_Feature_Fusion_for_Multispectral_Pedestrian_Detection_WACV_2021_paper.pdf",
        "aff": "1Univ Rennes 1, IRISA, France; 3ATERMES company, France; 2Univ Bretagne Sud, IRISA, France",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "H2O-Net: Self-Supervised Flood Segmentation via Adversarial Domain Adaptation and Label Refinement",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Akiva_H2O-Net_Self-Supervised_Flood_Segmentation_via_Adversarial_Domain_Adaptation_and_Label_WACV_2021_paper.html",
        "author": "Peri Akiva, Matthew Purri, Kristin Dana, Beth Tellman, Tyler Anderson",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Akiva_H2O-Net_Self-Supervised_Flood_Segmentation_via_Adversarial_Domain_Adaptation_and_Label_WACV_2021_paper.pdf",
        "aff": "Cloud to Street; Department of Computer and Electrical Engineering, Rutgers University",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Hand Pose Guided 3D Pooling for Word-Level Sign Language Recognition",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Hosain_Hand_Pose_Guided_3D_Pooling_for_Word-Level_Sign_Language_Recognition_WACV_2021_paper.html",
        "author": "Al Amin Hosain, Panneer Selvam Santhalingam, Parth Pathak, Huzefa Rangwala, Jana Kosecka",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Hosain_Hand_Pose_Guided_3D_Pooling_for_Word-Level_Sign_Language_Recognition_WACV_2021_paper.pdf",
        "aff": "George Mason University, Fairfax, USA",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Handwritten Chinese Font Generation With Collaborative Stroke Refinement",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Wen_Handwritten_Chinese_Font_Generation_With_Collaborative_Stroke_Refinement_WACV_2021_paper.html",
        "author": "Chuan Wen, Yujie Pan, Jie Chang, Ya Zhang, Siheng Chen, Yanfeng Wang, Mei Han, Qi Tian",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Wen_Handwritten_Chinese_Font_Generation_With_Collaborative_Stroke_Refinement_WACV_2021_paper.pdf",
        "aff": "Cooperative Madianet Innovation Center, Shanghai Jiao Tong University; PingAn Technology US Research Lab",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Have Fun Storming the Castle(s)!",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Anderson_Have_Fun_Storming_the_Castles_WACV_2021_paper.html",
        "author": "Connor Anderson, Adam Teuscher, Elizabeth Anderson, Alysia Larsen, Josh Shirley, Ryan Farrell",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Anderson_Have_Fun_Storming_the_Castles_WACV_2021_paper.pdf",
        "aff": "Brigham Young University",
        "project": "vision.cs.byu.edu/castles",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "HealTech - A System for Predicting Patient Hospitalization Risk and Wound Progression in Old Patients",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Oota_HealTech_-_A_System_for_Predicting_Patient_Hospitalization_Risk_and_WACV_2021_paper.html",
        "author": "Subba Reddy Oota, Vijay Rowtula, Shahid Mohammed, Jeffrey Galitz, Minghsun Liu, Manish Gupta",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Oota_HealTech_-_A_System_for_Predicting_Patient_Hospitalization_Risk_and_WACV_2021_paper.pdf",
        "aff": "Woundtech Innovative Healthcare Solutions, IIIT-Hyderabad, India; Woundtech Innovative Healthcare Solutions; IIIT-Hyderabad, India",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Hierarchical Generative Adversarial Networks for Single Image Super-Resolution",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Chen_Hierarchical_Generative_Adversarial_Networks_for_Single_Image_Super-Resolution_WACV_2021_paper.html",
        "author": "Weimin Chen, Yuqing Ma, Xianglong Liu, Yi Yuan",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Chen_Hierarchical_Generative_Adversarial_Networks_for_Single_Image_Super-Resolution_WACV_2021_paper.pdf",
        "aff": "NetEase Fuxi AI Lab, Hangzhou, China; State Key Lab of Software Development Environment, Beihang University, China",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "High-Quality Frame Interpolation via Tridirectional Inference",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Choi_High-Quality_Frame_Interpolation_via_Tridirectional_Inference_WACV_2021_paper.html",
        "author": "Jinsoo Choi, Jaesik Park, In So Kweon",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Choi_High-Quality_Frame_Interpolation_via_Tridirectional_Inference_WACV_2021_paper.pdf",
        "aff": "KAIST, Rep. of Korea; POSTECH, Rep. of Korea",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Holistic Filter Pruning for Efficient Deep Neural Networks",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Enderich_Holistic_Filter_Pruning_for_Efficient_Deep_Neural_Networks_WACV_2021_paper.html",
        "author": "Lukas Enderich, Fabian Timm, Wolfram Burgard",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Enderich_Holistic_Filter_Pruning_for_Efficient_Deep_Neural_Networks_WACV_2021_paper.pdf",
        "aff": "Robert Bosch GmbH, 71229 Leonberg; University of Freiburg, 79110 Freiburg im Breisgau; Robert Bosch GmbH, 71272 Renningen",
        "project": "",
        "github": "",
        "arxiv": "2009.08169",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "How to Make a BLT Sandwich? Learning VQA Towards Understanding Web Instructional Videos",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Wang_How_to_Make_a_BLT_Sandwich_Learning_VQA_Towards_Understanding_WACV_2021_paper.html",
        "author": "Shaojie Wang, Wentian Zhao, Ziyi Kou, Jing Shi, Chenliang Xu",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Wang_How_to_Make_a_BLT_Sandwich_Learning_VQA_Towards_Understanding_WACV_2021_paper.pdf",
        "aff": "Adobe; Washington University in St. Louis; University of Notre Dame; University of Rochester",
        "project": "",
        "github": "https://github.com/Jossome/YoucookQA",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "HyperCon: Image-to-Video Model Transfer for Video-to-Video Translation Tasks",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Szeto_HyperCon_Image-to-Video_Model_Transfer_for_Video-to-Video_Translation_Tasks_WACV_2021_paper.html",
        "author": "Ryan Szeto, Mostafa El-Khamy, Jungwon Lee, Jason J. Corso",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Szeto_HyperCon_Image-to-Video_Model_Transfer_for_Video-to-Video_Translation_Tasks_WACV_2021_paper.pdf",
        "aff": "University of Michigan; Samsung Semiconductor, Inc.",
        "project": "http://ryanszeto.com/projects/hypercon",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Hyperrealistic Image Inpainting With Hypergraphs",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Wadhwa_Hyperrealistic_Image_Inpainting_With_Hypergraphs_WACV_2021_paper.html",
        "author": "Gourav Wadhwa, Abhinav Dhall, Subrahmanyam Murala, Usman Tariq",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Wadhwa_Hyperrealistic_Image_Inpainting_With_Hypergraphs_WACV_2021_paper.pdf",
        "aff": "Indian Institute of Technology, Ropar; American University of Sharjah; Monash University",
        "project": "",
        "github": "",
        "arxiv": "2011.02904",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "IGSSTRCF: Importance Guided Sparse Spatio-Temporal Regularized Correlation Filters for Tracking",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Jain_IGSSTRCF_Importance_Guided_Sparse_Spatio-Temporal_Regularized_Correlation_Filters_for_Tracking_WACV_2021_paper.html",
        "author": "Monika Jain, A. V. Subramanyam, Simon Denman, Sridha Sridharan, Clinton Fookes",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Jain_IGSSTRCF_Importance_Guided_Sparse_Spatio-Temporal_Regularized_Correlation_Filters_for_Tracking_WACV_2021_paper.pdf",
        "aff": "",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Identity Unbiased Deception Detection by 2D-to-3D Face Reconstruction",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Ngo_Identity_Unbiased_Deception_Detection_by_2D-to-3D_Face_Reconstruction_WACV_2021_paper.html",
        "author": "Le Minh Ngo, Wei Wang, Burak Mandira, Sezer Karaoglu, Henri Bouma, Hamdi Dibeklioglu, Theo Gevers",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Ngo_Identity_Unbiased_Deception_Detection_by_2D-to-3D_Face_Reconstruction_WACV_2021_paper.pdf",
        "aff": "University of Amsterdam; Bilkent University; TNO",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Illumination Normalization by Partially Impossible Encoder-Decoder Cost Function",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Da_Cruz_Illumination_Normalization_by_Partially_Impossible_Encoder-Decoder_Cost_Function_WACV_2021_paper.html",
        "author": "Steve Dias Da Cruz, Bertram Taetz, Thomas Stifter, Didier Stricker",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Da_Cruz_Illumination_Normalization_by_Partially_Impossible_Encoder-Decoder_Cost_Function_WACV_2021_paper.pdf",
        "aff": "IEE S.A.; German Research Center for Arti\ufb01cial Intelligence; University of Kaiserslautern, German Research Center for Arti\ufb01cial Intelligence",
        "project": "https://sviro.kl.dfki.de",
        "github": "",
        "arxiv": "2011.03428",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Improve CAM With Auto-Adapted Segmentation and Co-Supervised Augmentation",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Kou_Improve_CAM_With_Auto-Adapted_Segmentation_and_Co-Supervised_Augmentation_WACV_2021_paper.html",
        "author": "Ziyi Kou, Guofeng Cui, Shaojie Wang, Wentian Zhao, Chenliang Xu",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Kou_Improve_CAM_With_Auto-Adapted_Segmentation_and_Co-Supervised_Augmentation_WACV_2021_paper.pdf",
        "aff": "Adobe; Washington University in St. Louis; University of Rochester; University of Notre Dame; Rutgers University",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Improved Techniques for Training Single-Image GANs",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Hinz_Improved_Techniques_for_Training_Single-Image_GANs_WACV_2021_paper.html",
        "author": "Tobias Hinz, Matthew Fisher, Oliver Wang, Stefan Wermter",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Hinz_Improved_Techniques_for_Training_Single-Image_GANs_WACV_2021_paper.pdf",
        "aff": "Adobe Research; Knowledge Technology, University of Hamburg, Germany",
        "project": "",
        "github": "",
        "arxiv": "2003.11512",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Improved Training of Generative Adversarial Networks Using Decision Forests",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Zuo_Improved_Training_of_Generative_Adversarial_Networks_Using_Decision_Forests_WACV_2021_paper.html",
        "author": "Yan Zuo, Gil Avraham, Tom Drummond",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Zuo_Improved_Training_of_Generative_Adversarial_Networks_Using_Decision_Forests_WACV_2021_paper.pdf",
        "aff": "ARC Centre of Excellence for Robotic Vision, Monash University, Australia",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Improving Few-Shot Learning Using Composite Rotation Based Auxiliary Task",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Mazumder_Improving_Few-Shot_Learning_Using_Composite_Rotation_Based_Auxiliary_Task_WACV_2021_paper.html",
        "author": "Pratik Mazumder, Pravendra Singh, Vinay P. Namboodiri",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Mazumder_Improving_Few-Shot_Learning_Using_Composite_Rotation_Based_Auxiliary_Task_WACV_2021_paper.pdf",
        "aff": "University of Bath, United Kingdom; Department of Computer Science and Engineering, IIT Kanpur, India",
        "project": "",
        "github": "",
        "arxiv": "2006.15919",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Improving Point Cloud Semantic Segmentation by Learning 3D Object Detection",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Unal_Improving_Point_Cloud_Semantic_Segmentation_by_Learning_3D_Object_Detection_WACV_2021_paper.html",
        "author": "Ozan Unal, Luc Van Gool, Dengxin Dai",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Unal_Improving_Point_Cloud_Semantic_Segmentation_by_Learning_3D_Object_Detection_WACV_2021_paper.pdf",
        "aff": "VISICS, ESAT/PSI, KU Leuven; Computer Vision Lab, ETH Zurich",
        "project": "",
        "github": "",
        "arxiv": "2009.10569",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Improving Robustness and Uncertainty Modelling in Neural Ordinary Differential Equations",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Anumasa_Improving_Robustness_and_Uncertainty_Modelling_in_Neural_Ordinary_Differential_Equations_WACV_2021_paper.html",
        "author": "Srinivas Anumasa, P. K. Srijith",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Anumasa_Improving_Robustness_and_Uncertainty_Modelling_in_Neural_Ordinary_Differential_Equations_WACV_2021_paper.pdf",
        "aff": "Computer Science and Engineering, Indian Institute of Technology Hyderbad, India",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Improving Video Captioning With Temporal Composition of a Visual-Syntactic Embedding",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Perez-Martin_Improving_Video_Captioning_With_Temporal_Composition_of_a_Visual-Syntactic_Embedding_WACV_2021_paper.html",
        "author": "Jesus Perez-Martin, Benjamin Bustos, Jorge Perez",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Perez-Martin_Improving_Video_Captioning_With_Temporal_Composition_of_a_Visual-Syntactic_Embedding_WACV_2021_paper.pdf",
        "aff": "Department of Computer Science, University of Chile",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "IncreACO: Incrementally Learned Automatic Check-Out With Photorealistic Exemplar Augmentation",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Yang_IncreACO_Incrementally_Learned_Automatic_Check-Out_With_Photorealistic_Exemplar_Augmentation_WACV_2021_paper.html",
        "author": "Yandan Yang, Lu Sheng, Xiaolong Jiang, Haochen Wang, Dong Xu, Xianbin Cao",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Yang_IncreACO_Incrementally_Learned_Automatic_Check-Out_With_Photorealistic_Exemplar_Augmentation_WACV_2021_paper.pdf",
        "aff": "School of Electronic and Information Engineering, Beihang University, Beijing, China; Key Laboratory of Advanced Technology of Near Space Information System, Ministry of Industry and Information Technology of China; Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, China; University of Sydney, Sydney, Australia; College of Software, Beihang University, Beijing, China; Alibaba Youku Cognitive and Intelligent Lab, Beijing, China; School of Electronic and Information Engineering, Beihang University, Beijing, China",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "InfoMax-GAN: Improved Adversarial Image Generation via Information Maximization and Contrastive Learning",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Lee_InfoMax-GAN_Improved_Adversarial_Image_Generation_via_Information_Maximization_and_Contrastive_WACV_2021_paper.html",
        "author": "Kwot Sin Lee, Ngoc-Trung Tran, Ngai-Man Cheung",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Lee_InfoMax-GAN_Improved_Adversarial_Image_Generation_via_Information_Maximization_and_Contrastive_WACV_2021_paper.pdf",
        "aff": "University of Cambridge, Snap Inc.; Singapore University of Technology and Design",
        "project": "Not provided",
        "github": "Not provided directly in the text, but mentioned as available in the open-source GAN library, Mimicry",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Integrating Human Gaze Into Attention for Egocentric Activity Recognition",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Min_Integrating_Human_Gaze_Into_Attention_for_Egocentric_Activity_Recognition_WACV_2021_paper.html",
        "author": "Kyle Min, Jason J. Corso",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Min_Integrating_Human_Gaze_Into_Attention_for_Egocentric_Activity_Recognition_WACV_2021_paper.pdf",
        "aff": "University of Michigan",
        "project": "",
        "github": "",
        "arxiv": "2011.03920",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Interpretable and Trustworthy Deepfake Detection via Dynamic Prototypes",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Trinh_Interpretable_and_Trustworthy_Deepfake_Detection_via_Dynamic_Prototypes_WACV_2021_paper.html",
        "author": "Loc Trinh, Michael Tsang, Sirisha Rambhatla, Yan Liu",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Trinh_Interpretable_and_Trustworthy_Deepfake_Detection_via_Dynamic_Prototypes_WACV_2021_paper.pdf",
        "aff": "University of Southern California",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Intra-Class Part Swapping for Fine-Grained Image Classification",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Zhang_Intra-Class_Part_Swapping_for_Fine-Grained_Image_Classification_WACV_2021_paper.html",
        "author": "Lianbo Zhang, Shaoli Huang, Wei Liu",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Zhang_Intra-Class_Part_Swapping_for_Fine-Grained_Image_Classification_WACV_2021_paper.pdf",
        "aff": "Advanced Analytics Institute, School of Computer Science, FEIT, University of Technology Sydney, Chippendale, NSW, Australia; UBTECH Sydney AI Centre, School of Computer Science, FEIT, University of Sydney, Darlington, NSW 2008, Australia",
        "project": "",
        "github": "https://github.com/lbzhang/InPS.git",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Intro and Recap Detection for Movies and TV Series",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Hao_Intro_and_Recap_Detection_for_Movies_and_TV_Series_WACV_2021_paper.html",
        "author": "Xiang Hao, Kripa Chettiar, Ben Cheung, Vernon Germano, Raffay Hamid",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Hao_Intro_and_Recap_Detection_for_Movies_and_TV_Series_WACV_2021_paper.pdf",
        "aff": "Amazon Prime Video",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "JOLO-GCN: Mining Joint-Centered Light-Weight Information for Skeleton-Based Action Recognition",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Cai_JOLO-GCN_Mining_Joint-Centered_Light-Weight_Information_for_Skeleton-Based_Action_Recognition_WACV_2021_paper.html",
        "author": "Jinmiao Cai, Nianjuan Jiang, Xiaoguang Han, Kui Jia, Jiangbo Lu",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Cai_JOLO-GCN_Mining_Joint-Centered_Light-Weight_Information_for_Skeleton-Based_Action_Recognition_WACV_2021_paper.pdf",
        "aff": "South China University of Technology; SmartMore Corporation; The Chinese University of Hong Kong (Shenzhen)",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Joint Visual-Temporal Embedding for Unsupervised Learning of Actions in Untrimmed Sequences",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/VidalMata_Joint_Visual-Temporal_Embedding_for_Unsupervised_Learning_of_Actions_in_Untrimmed_WACV_2021_paper.html",
        "author": "Rosaura G. VidalMata, Walter J. Scheirer, Anna Kukleva, David Cox, Hilde Kuehne",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/VidalMata_Joint_Visual-Temporal_Embedding_for_Unsupervised_Learning_of_Actions_in_Untrimmed_WACV_2021_paper.pdf",
        "aff": "Max-Planck-Institute for Informatics, Saarbrucken, Germany; University of Notre Dame, IN, USA; MIT-IBM Waston AI Lab, MA, USA",
        "project": "",
        "github": "",
        "arxiv": "2001.11122",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Kernel Self-Attention for Weakly-Supervised Image Classification Using Deep Multiple Instance Learning",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Rymarczyk_Kernel_Self-Attention_for_Weakly-Supervised_Image_Classification_Using_Deep_Multiple_Instance_WACV_2021_paper.html",
        "author": "Dawid Rymarczyk, Adriana Borowa, Jacek Tabor, Bartosz Zielinski",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Rymarczyk_Kernel_Self-Attention_for_Weakly-Supervised_Image_Classification_Using_Deep_Multiple_Instance_WACV_2021_paper.pdf",
        "aff": "Faculty of Mathematics and Computer Science, Jagiellonian University; Faculty of Mathematics and Computer Science, Jagiellonian University, Ardigen SA",
        "project": "",
        "github": "https://github.com/...",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Keypoint-Aligned Embeddings for Image Retrieval and Re-Identification",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Moskvyak_Keypoint-Aligned_Embeddings_for_Image_Retrieval_and_Re-Identification_WACV_2021_paper.html",
        "author": "Olga Moskvyak, Frederic Maire, Feras Dayoub, Mahsa Baktashmotlagh",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Moskvyak_Keypoint-Aligned_Embeddings_for_Image_Retrieval_and_Re-Identification_WACV_2021_paper.pdf",
        "aff": "Queensland University of Technology; University of Queensland",
        "project": "",
        "github": "",
        "arxiv": "2008.11368",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "LT-GAN: Self-Supervised GAN With Latent Transformation Detection",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Patel_LT-GAN_Self-Supervised_GAN_With_Latent_Transformation_Detection_WACV_2021_paper.html",
        "author": "Parth Patel, Nupur Kumari, Mayank Singh, Balaji Krishnamurthy",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Patel_LT-GAN_Self-Supervised_GAN_With_Latent_Transformation_Detection_WACV_2021_paper.pdf",
        "aff": "Media and Data Science Research Lab, Adobe; Media and Data Science Research Lab, Adobe; Birla Institute of Technology & Science, Pilani India",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Large Image Datasets: A Pyrrhic Win for Computer Vision?",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Birhane_Large_Image_Datasets_A_Pyrrhic_Win_for_Computer_Vision_WACV_2021_paper.html",
        "author": "Abeba Birhane, Vinay Uday Prabhu",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Birhane_Large_Image_Datasets_A_Pyrrhic_Win_for_Computer_Vision_WACV_2021_paper.pdf",
        "aff": "",
        "project": "",
        "github": "",
        "arxiv": "2006.16923",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Learn Like a Pathologist: Curriculum Learning by Annotator Agreement for Histopathology Image Classification",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Wei_Learn_Like_a_Pathologist_Curriculum_Learning_by_Annotator_Agreement_for_WACV_2021_paper.html",
        "author": "Jerry Wei, Arief Suriawinata, Bing Ren, Xiaoying Liu, Mikhail Lisovsky, Louis Vaickus, Charles Brown, Michael Baker, Mustafa Nasir-Moin, Naofumi Tomita, Lorenzo Torresani, Jason Wei, Saeed Hassanpour",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Wei_Learn_Like_a_Pathologist_Curriculum_Learning_by_Annotator_Agreement_for_WACV_2021_paper.pdf",
        "aff": "Dartmouth-Hitchcock Medical Center; Dartmouth College",
        "project": "",
        "github": "",
        "arxiv": "2009.13698",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Learned Dual-View Reflection Removal",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Niklaus_Learned_Dual-View_Reflection_Removal_WACV_2021_paper.html",
        "author": "Simon Niklaus, Xuaner (Cecilia) Zhang, Jonathan T. Barron, Neal Wadhwa, Rahul Garg, Feng Liu, Tianfan Xue",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Niklaus_Learned_Dual-View_Reflection_Removal_WACV_2021_paper.pdf",
        "aff": "Adobe Research; Portland State University; UC Berkeley; Google Research",
        "project": "",
        "github": "",
        "arxiv": "2010.00702",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Learning Data Augmentation With Online Bilevel Optimization for Image Classification",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Mounsaveng_Learning_Data_Augmentation_With_Online_Bilevel_Optimization_for_Image_Classification_WACV_2021_paper.html",
        "author": "Saypraseuth Mounsaveng, Issam Laradji, Ismail Ben Ayed, David Vazquez, Marco Pedersoli",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Mounsaveng_Learning_Data_Augmentation_With_Online_Bilevel_Optimization_for_Image_Classification_WACV_2021_paper.pdf",
        "aff": "ETS Montreal; Element AI",
        "project": "",
        "github": "https://github.com/ElementAI/bilevel_augment",
        "arxiv": "2006.14699",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Learning Fast Converging, Effective Conditional Generative Adversarial Networks With a Mirrored Auxiliary Classifier",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Wang_Learning_Fast_Converging_Effective_Conditional_Generative_Adversarial_Networks_With_a_WACV_2021_paper.html",
        "author": "Zi Wang",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Wang_Learning_Fast_Converging_Effective_Conditional_Generative_Adversarial_Networks_With_a_WACV_2021_paper.pdf",
        "aff": "The University of Tennessee, Knoxville",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Learning Shape Representations for Person Re-Identification Under Clothing Change",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Li_Learning_Shape_Representations_for_Person_Re-Identification_Under_Clothing_Change_WACV_2021_paper.html",
        "author": "Yu-Jhe Li, Xinshuo Weng, Kris M. Kitani",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Li_Learning_Shape_Representations_for_Person_Re-Identification_Under_Clothing_Change_WACV_2021_paper.pdf",
        "aff": "The Robotics Institute, Carnegie Mellon University; The Robotics Institute, Carnegie Mellon University and Dept. Electrical and Computer Engineering, Carnegie Mellon University",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Learning of Low-Level Feature Keypoints for Accurate and Robust Detection",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Suwanwimolkul_Learning_of_Low-Level_Feature_Keypoints_for_Accurate_and_Robust_Detection_WACV_2021_paper.html",
        "author": "Suwichaya Suwanwimolkul, Satoshi Komorita, Kazuyuki Tasaka",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Suwanwimolkul_Learning_of_Low-Level_Feature_Keypoints_for_Accurate_and_Robust_Detection_WACV_2021_paper.pdf",
        "aff": "KDDI Research, Inc.",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Learning to Distill Convolutional Features Into Compact Local Descriptors",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Lee_Learning_to_Distill_Convolutional_Features_Into_Compact_Local_Descriptors_WACV_2021_paper.html",
        "author": "Jongmin Lee, Yoonwoo Jeong, Seungwook Kim, Juhong Min, Minsu Cho",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Lee_Learning_to_Distill_Convolutional_Features_Into_Compact_Local_Descriptors_WACV_2021_paper.pdf",
        "aff": "POSTECH; POSTECH, NPRC",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Learning to Generate Dense Point Clouds With Textures on Multiple Categories",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Hu_Learning_to_Generate_Dense_Point_Clouds_With_Textures_on_Multiple_WACV_2021_paper.html",
        "author": "Tao Hu, Geng Lin, Zhizhong Han, Matthias Zwicker",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Hu_Learning_to_Generate_Dense_Point_Clouds_With_Textures_on_Multiple_WACV_2021_paper.pdf",
        "aff": "University of Maryland, College Park",
        "project": "",
        "github": "",
        "arxiv": "1912.10545",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Legacy Photo Editing With Learned Noise Prior",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Zhao_Legacy_Photo_Editing_With_Learned_Noise_Prior_WACV_2021_paper.html",
        "author": "Yuzhi Zhao, Lai-Man Po, Tingyu Lin, Xuehui Wang, Kangcheng Liu, Yujia Zhang, Wing-Yin Yu, Pengfei Xian, Jingjing Xiong",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Zhao_Legacy_Photo_Editing_With_Learned_Noise_Prior_WACV_2021_paper.pdf",
        "aff": "Sun Yat-sen University; The Chinese University of Hong Kong; City University of Hong Kong",
        "project": "",
        "github": "https://github.com/zhaoyuzhi/Legacy-Photo-Editing-with-Learned-Noise-Prior",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Let's Get Dirty: GAN Based Data Augmentation for Camera Lens Soiling Detection in Autonomous Driving",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Uricar_Lets_Get_Dirty_GAN_Based_Data_Augmentation_for_Camera_Lens_WACV_2021_paper.html",
        "author": "Michal Uricar, Ganesh Sistu, Hazem Rashed, Antonin Vobecky, Varun Ravi Kumar, Pavel Krizek, Fabian Burger, Senthil Yogamani",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Uricar_Lets_Get_Dirty_GAN_Based_Data_Augmentation_for_Camera_Lens_WACV_2021_paper.pdf",
        "aff": "Valeo; CTU in Prague; Independent Researcher",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Line Art Correlation Matching Feature Transfer Network for Automatic Animation Colorization",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Zhang_Line_Art_Correlation_Matching_Feature_Transfer_Network_for_Automatic_Animation_WACV_2021_paper.html",
        "author": "Qian Zhang, Bo Wang, Wei Wen, Hai Li, Junhui Liu",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Zhang_Line_Art_Correlation_Matching_Feature_Transfer_Network_for_Automatic_Animation_WACV_2021_paper.pdf",
        "aff": "iQIYI Inc, Chengdu, China",
        "project": "",
        "github": "",
        "arxiv": "2004.06718",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Lip-Reading With Densely Connected Temporal Convolutional Networks",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Ma_Lip-Reading_With_Densely_Connected_Temporal_Convolutional_Networks_WACV_2021_paper.html",
        "author": "Pingchuan Ma, Yujiang Wang, Jie Shen, Stavros Petridis, Maja Pantic",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Ma_Lip-Reading_With_Densely_Connected_Temporal_Convolutional_Networks_WACV_2021_paper.pdf",
        "aff": "Imperial College London, Facebook London; Imperial College London; Imperial College London, Samsung AI Center Cambridge",
        "project": "",
        "github": "",
        "arxiv": "2009.14233",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "LoGAN: Latent Graph Co-Attention Network for Weakly-Supervised Video Moment Retrieval",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Tan_LoGAN_Latent_Graph_Co-Attention_Network_for_Weakly-Supervised_Video_Moment_Retrieval_WACV_2021_paper.html",
        "author": "Reuben Tan, Huijuan Xu, Kate Saenko, Bryan A. Plummer",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Tan_LoGAN_Latent_Graph_Co-Attention_Network_for_Weakly-Supervised_Video_Moment_Retrieval_WACV_2021_paper.pdf",
        "aff": "Boston University; University of California, Berkeley; Boston University, MIT-IBM Watson AI Lab",
        "project": "",
        "github": "",
        "arxiv": "1909.13784",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Local to Global: Efficient Visual Localization for a Monocular Camera",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Lee_Local_to_Global_Efficient_Visual_Localization_for_a_Monocular_Camera_WACV_2021_paper.html",
        "author": "Sang Jun Lee, Deokhwa Kim, Sung Soo Hwang, Donghwan Lee",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Lee_Local_to_Global_Efficient_Visual_Localization_for_a_Monocular_Camera_WACV_2021_paper.pdf",
        "aff": "NA VERLABS, Korea; Handong Global University, Korea",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Long-Range Attention Network for Multi-View Stereo",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Zhang_Long-Range_Attention_Network_for_Multi-View_Stereo_WACV_2021_paper.html",
        "author": "Xudong Zhang, Yutao Hu, Haochen Wang, Xianbin Cao, Baochang Zhang",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Zhang_Long-Range_Attention_Network_for_Multi-View_Stereo_WACV_2021_paper.pdf",
        "aff": "Beihang University, Beijing, China; School of Electronic and Information Engineering, Beihang University, Beijing, China; Key Laboratory of Advanced Technology of Near Space Information System, Ministry of Industry and Information Technology of China; Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, China; School of Electronic and Information Engineering, Beihang University, Beijing, China",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "MART: Motion-Aware Recurrent Neural Network for Robust Visual Tracking",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Fan_MART_Motion-Aware_Recurrent_Neural_Network_for_Robust_Visual_Tracking_WACV_2021_paper.html",
        "author": "Heng Fan, Haibin Ling",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Fan_MART_Motion-Aware_Recurrent_Neural_Network_for_Robust_Visual_Tracking_WACV_2021_paper.pdf",
        "aff": "Department of Computer Science, Stony Brook University, Stony Brook, NY, USA",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "MEVA: A Large-Scale Multiview, Multimodal Video Dataset for Activity Detection",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Corona_MEVA_A_Large-Scale_Multiview_Multimodal_Video_Dataset_for_Activity_Detection_WACV_2021_paper.html",
        "author": "Kellie Corona, Katie Osterdahl, Roderic Collins, Anthony Hoogs",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Corona_MEVA_A_Large-Scale_Multiview_Multimodal_Video_Dataset_for_Activity_Detection_WACV_2021_paper.pdf",
        "aff": "Kitware, Inc.",
        "project": "",
        "github": "",
        "arxiv": "2012.00914",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "MPRNet: Multi-Path Residual Network for Lightweight Image Super Resolution",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Mehri_MPRNet_Multi-Path_Residual_Network_for_Lightweight_Image_Super_Resolution_WACV_2021_paper.html",
        "author": "Armin Mehri, Parichehr B. Ardakani, Angel D. Sappa",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Mehri_MPRNet_Multi-Path_Residual_Network_for_Lightweight_Image_Super_Resolution_WACV_2021_paper.pdf",
        "aff": "ESPOL Polytechnic University, Guayaquil, Ecuador; Computer Vision Center, 08193, Bellaterra, Barcelona, Spain; Computer Vision Center, Edi\ufb01ci O, Campus UAB, 08193, Bellaterra, Barcelona, Spain",
        "project": "",
        "github": "",
        "arxiv": "2011.04566",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "MSNet: A Multilevel Instance Segmentation Network for Natural Disaster Damage Assessment in Aerial Videos",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Zhu_MSNet_A_Multilevel_Instance_Segmentation_Network_for_Natural_Disaster_Damage_WACV_2021_paper.html",
        "author": "Xiaoyu Zhu, Junwei Liang, Alexander Hauptmann",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Zhu_MSNet_A_Multilevel_Instance_Segmentation_Network_for_Natural_Disaster_Damage_WACV_2021_paper.pdf",
        "aff": "Carnegie Mellon University",
        "project": "",
        "github": "https://github.com/zgzxy001/MSNET",
        "arxiv": "2006.16479",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "MUSCLE: Strengthening Semi-Supervised Learning via Concurrent Unsupervised Learning Using Mutual Information Maximization",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Xie_MUSCLE_Strengthening_Semi-Supervised_Learning_via_Concurrent_Unsupervised_Learning_Using_Mutual_WACV_2021_paper.html",
        "author": "Hanchen Xie, Mohamed E. Hussein, Aram Galstyan, Wael Abd-Almageed",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Xie_MUSCLE_Strengthening_Semi-Supervised_Learning_via_Concurrent_Unsupervised_Learning_Using_Mutual_WACV_2021_paper.pdf",
        "aff": "USC Information Sciences Institute; USC Information Sciences Institute, Alexandria University, Alexandria, Egypt",
        "project": "",
        "github": "",
        "arxiv": "2012.00150",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "MVHM: A Large-Scale Multi-View Hand Mesh Benchmark for Accurate 3D Hand Pose Estimation",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Chen_MVHM_A_Large-Scale_Multi-View_Hand_Mesh_Benchmark_for_Accurate_3D_WACV_2021_paper.html",
        "author": "Liangjian Chen, Shih-Yao Lin, Yusheng Xie, Yen-Yu Lin, Xiaohui Xie",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Chen_MVHM_A_Large-Scale_Multi-View_Hand_Mesh_Benchmark_for_Accurate_3D_WACV_2021_paper.pdf",
        "aff": "University of California, Irvine; National Chiao Tung University; Amazon; Tencent America",
        "project": "",
        "github": "https://github.com/Kuzphi/MVHM",
        "arxiv": "2012.03206",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Making DensePose Fast and Light",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Rakhimov_Making_DensePose_Fast_and_Light_WACV_2021_paper.html",
        "author": "Ruslan Rakhimov, Emil Bogomolov, Alexandr Notchenko, Fung Mao, Alexey Artemov, Denis Zorin, Evgeny Burnaev",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Rakhimov_Making_DensePose_Fast_and_Light_WACV_2021_paper.pdf",
        "aff": "New York University; Huawei Moscow Research Center (Russia); Skolkovo Institute of Science and Technology",
        "project": "",
        "github": "https://github.com/zetyquickly/DensePoseFnL",
        "arxiv": "2006.15190",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Mask Selection and Propagation for Unsupervised Video Object Segmentation",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Garg_Mask_Selection_and_Propagation_for_Unsupervised_Video_Object_Segmentation_WACV_2021_paper.html",
        "author": "Shubhika Garg, Vidit Goel",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Garg_Mask_Selection_and_Propagation_for_Unsupervised_Video_Object_Segmentation_WACV_2021_paper.pdf",
        "aff": "Indian Institute of Technology, Kharagpur, West Bengal, India",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "MeliusNet: An Improved Network Architecture for Binary Neural Networks",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Bethge_MeliusNet_An_Improved_Network_Architecture_for_Binary_Neural_Networks_WACV_2021_paper.html",
        "author": "Joseph Bethge, Christian Bartz, Haojin Yang, Ying Chen, Christoph Meinel",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Bethge_MeliusNet_An_Improved_Network_Architecture_for_Binary_Neural_Networks_WACV_2021_paper.pdf",
        "aff": "AI Labs, Alibaba Group; Hasso Plattner Institute, University of Potsdam, Germany",
        "project": "",
        "github": "https://github.com/hpi-xnor/BMXNet-v2",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Meta Module Network for Compositional Visual Reasoning",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Chen_Meta_Module_Network_for_Compositional_Visual_Reasoning_WACV_2021_paper.html",
        "author": "Wenhu Chen, Zhe Gan, Linjie Li, Yu Cheng, William Wang, Jingjing Liu",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Chen_Meta_Module_Network_for_Compositional_Visual_Reasoning_WACV_2021_paper.pdf",
        "aff": "University of California, Santa Barbara, CA, USA; Microsoft Dynamics 365 AI Research, Bellevue, WA, USA",
        "project": "",
        "github": "https://github.com/wenhuchen/Meta-Module-Network",
        "arxiv": "1910.03230",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Minimal Solvers for Single-View Lens-Distorted Camera Auto-Calibration",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Lochman_Minimal_Solvers_for_Single-View_Lens-Distorted_Camera_Auto-Calibration_WACV_2021_paper.html",
        "author": "Yaroslava Lochman, Oles Dobosevych, Rostyslav Hryniv, James Pritts",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Lochman_Minimal_Solvers_for_Single-View_Lens-Distorted_Camera_Auto-Calibration_WACV_2021_paper.pdf",
        "aff": "Facebook Reality Labs in Pittsburgh; Machine Learning Lab, Ukrainian Catholic University in Lviv",
        "project": "",
        "github": "https://github.com/ylochman/single-view-autocalib",
        "arxiv": "2011.08988",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "MinkLoc3D: Point Cloud Based Large-Scale Place Recognition",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Komorowski_MinkLoc3D_Point_Cloud_Based_Large-Scale_Place_Recognition_WACV_2021_paper.html",
        "author": "Jacek Komorowski",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Komorowski_MinkLoc3D_Point_Cloud_Based_Large-Scale_Place_Recognition_WACV_2021_paper.pdf",
        "aff": "Warsaw University of Technology, Warsaw, Poland",
        "project": "",
        "github": "https://github.com/jac99/MinkLoc3D",
        "arxiv": "2011.04530",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Misclassification Risk and Uncertainty Quantification in Deep Classifiers",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Sensoy_Misclassification_Risk_and_Uncertainty_Quantification_in_Deep_Classifiers_WACV_2021_paper.html",
        "author": "Murat Sensoy, Maryam Saleki, Simon Julier, Reyhan Aydogan, John Reid",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Sensoy_Misclassification_Risk_and_Uncertainty_Quantification_in_Deep_Classifiers_WACV_2021_paper.pdf",
        "aff": "Department of Computer Science, University College London, UK; Department of Computer Science, Ozyegin University, Turkey; Blue Prism AI Labs, UK",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "MoRe: A Large-Scale Motorcycle Re-Identification Dataset",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Figueiredo_MoRe_A_Large-Scale_Motorcycle_Re-Identification_Dataset_WACV_2021_paper.html",
        "author": "Augusto Figueiredo, Johnata Brayan, Renan Oliveira Reis, Raphael Prates, William Robson Schwartz",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Figueiredo_MoRe_A_Large-Scale_Motorcycle_Re-Identification_Dataset_WACV_2021_paper.pdf",
        "aff": "Universidade Federal de Minas Gerais (UFMG), Brazil; Universidade Estadual de Campinas (UNICAMP), Brazil",
        "project": "http://smartsenselab.dcc.ufmg.br/dataset/more-a-large-scale-motorcycle-re-identi\ufb01cation-dataset/",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Motion Adaptive Deblurring With Single-Photon Cameras",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Seets_Motion_Adaptive_Deblurring_With_Single-Photon_Cameras_WACV_2021_paper.html",
        "author": "Trevor Seets, Atul Ingle, Martin Laurenzis, Andreas Velten",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Seets_Motion_Adaptive_Deblurring_With_Single-Photon_Cameras_WACV_2021_paper.pdf",
        "aff": "French-German Research Institute of Saint-Louis; University of Wisconsin-Madison",
        "project": "",
        "github": "",
        "arxiv": "2012.07931",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Multi Projection Fusion for Real-Time Semantic Segmentation of 3D LiDAR Point Clouds",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Alnaggar_Multi_Projection_Fusion_for_Real-Time_Semantic_Segmentation_of_3D_LiDAR_WACV_2021_paper.html",
        "author": "Yara Ali Alnaggar, Mohamed Afifi, Karim Amer, Mohamed ElHelw",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Alnaggar_Multi_Projection_Fusion_for_Real-Time_Semantic_Segmentation_of_3D_LiDAR_WACV_2021_paper.pdf",
        "aff": "Center for Informatics Science, Nile University, Giza, Egypt",
        "project": "",
        "github": "",
        "arxiv": "2011.01974",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Multi-Frame Recurrent Adversarial Network for Moving Object Segmentation",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Patil_Multi-Frame_Recurrent_Adversarial_Network_for_Moving_Object_Segmentation_WACV_2021_paper.html",
        "author": "Prashant W. Patil, Akshay Dudhane, Subrahmanyam Murala",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Patil_Multi-Frame_Recurrent_Adversarial_Network_for_Moving_Object_Segmentation_WACV_2021_paper.pdf",
        "aff": "Computer Vision and Pattern Recognition Lab, Indian Institute of Technology Ropar, India",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Multi-Level Generative Chaotic Recurrent Network for Image Inpainting",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Chen_Multi-Level_Generative_Chaotic_Recurrent_Network_for_Image_Inpainting_WACV_2021_paper.html",
        "author": "Cong Chen, Amos Abbott, Daniel Stilwell",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Chen_Multi-Level_Generative_Chaotic_Recurrent_Network_for_Image_Inpainting_WACV_2021_paper.pdf",
        "aff": "Virginia Tech",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Multi-Loss Weighting With Coefficient of Variations",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Groenendijk_Multi-Loss_Weighting_With_Coefficient_of_Variations_WACV_2021_paper.html",
        "author": "Rick Groenendijk, Sezer Karaoglu, Theo Gevers, Thomas Mensink",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Groenendijk_Multi-Loss_Weighting_With_Coefficient_of_Variations_WACV_2021_paper.pdf",
        "aff": "University of Amsterdam; 3DUniversum; Google Research",
        "project": "",
        "github": "https://github.com/rickgroen/cov-weighting",
        "arxiv": "2009.01717",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Multi-Modal Reasoning Graph for Scene-Text Based Fine-Grained Image Classification and Retrieval",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Mafla_Multi-Modal_Reasoning_Graph_for_Scene-Text_Based_Fine-Grained_Image_Classification_and_WACV_2021_paper.html",
        "author": "Andres Mafla, Sounak Dey, Ali Furkan Biten, Lluis Gomez, Dimosthenis Karatzas",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Mafla_Multi-Modal_Reasoning_Graph_for_Scene-Text_Based_Fine-Grained_Image_Classification_and_WACV_2021_paper.pdf",
        "aff": "Computer Vision Center, UAB, Spain",
        "project": "",
        "github": "",
        "arxiv": "2009.09809",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Multi-Modal Trajectory Prediction of NBA Players",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Hauri_Multi-Modal_Trajectory_Prediction_of_NBA_Players_WACV_2021_paper.html",
        "author": "Sandro Hauri, Nemanja Djuric, Vladan Radosavljevic, Slobodan Vucetic",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Hauri_Multi-Modal_Trajectory_Prediction_of_NBA_Players_WACV_2021_paper.pdf",
        "aff": "Uber ATG; Temple University; Spotify",
        "project": "",
        "github": "",
        "arxiv": "2008.07870",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Multi-Path Neural Networks for On-Device Multi-Domain Visual Classification",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Wang_Multi-Path_Neural_Networks_for_On-Device_Multi-Domain_Visual_Classification_WACV_2021_paper.html",
        "author": "Qifei Wang, Junjie Ke, Joshua Greaves, Grace Chu, Gabriel Bender, Luciano Sbaiz, Alec Go, Andrew Howard, Ming-Hsuan Yang, Jeff Gilbert, Peyman Milanfar, Feng Yang",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Wang_Multi-Path_Neural_Networks_for_On-Device_Multi-Domain_Visual_Classification_WACV_2021_paper.pdf",
        "aff": "Google Brain; Google Research",
        "project": "",
        "github": "",
        "arxiv": "2010.04904",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Multi-Task Knowledge Distillation for Eye Disease Prediction",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Chelaramani_Multi-Task_Knowledge_Distillation_for_Eye_Disease_Prediction_WACV_2021_paper.html",
        "author": "Sahil Chelaramani, Manish Gupta, Vipul Agarwal, Prashant Gupta, Ranya Habash",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Chelaramani_Multi-Task_Knowledge_Distillation_for_Eye_Disease_Prediction_WACV_2021_paper.pdf",
        "aff": "Bascom Palmer Eye Institute; Microsoft",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Multimodal Humor Dataset: Predicting Laughter Tracks for Sitcoms",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Patro_Multimodal_Humor_Dataset_Predicting_Laughter_Tracks_for_Sitcoms_WACV_2021_paper.html",
        "author": "Badri N. Patro, Mayank Lunayach, Deepankar Srivastava, Sarvesh, Hunar Singh, Vinay P. Namboodiri",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Patro_Multimodal_Humor_Dataset_Predicting_Laughter_Tracks_for_Sitcoms_WACV_2021_paper.pdf",
        "aff": "IIT Kanpur; University of Bath",
        "project": "https://delta-lab-iitk.github.io/Multimodal-Humor-Dataset/",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Multimodal Prototypical Networks for Few-Shot Learning",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Pahde_Multimodal_Prototypical_Networks_for_Few-Shot_Learning_WACV_2021_paper.html",
        "author": "Frederik Pahde, Mihai Puscas, Tassilo Klein, Moin Nabi",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Pahde_Multimodal_Prototypical_Networks_for_Few-Shot_Learning_WACV_2021_paper.pdf",
        "aff": "Amazon.com, Inc.; Huawei Research, Ireland; SAP AI Research, Berlin, Germany",
        "project": "",
        "github": "",
        "arxiv": "2011.08899",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Multimodal Trajectory Predictions for Autonomous Driving Without a Detailed Prior Map",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Kawasaki_Multimodal_Trajectory_Predictions_for_Autonomous_Driving_Without_a_Detailed_Prior_WACV_2021_paper.html",
        "author": "Atsushi Kawasaki, Akihito Seki",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Kawasaki_Multimodal_Trajectory_Predictions_for_Autonomous_Driving_Without_a_Detailed_Prior_WACV_2021_paper.pdf",
        "aff": "Corporate R&D Center, Toshiba, Japan",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Mutual Information Maximization on Disentangled Representations for Differential Morph Detection",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Soleymani_Mutual_Information_Maximization_on_Disentangled_Representations_for_Differential_Morph_Detection_WACV_2021_paper.html",
        "author": "Sobhan Soleymani, Ali Dabouei, Fariborz Taherkhani, Jeremy Dawson, Nasser M. Nasrabadi",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Soleymani_Mutual_Information_Maximization_on_Disentangled_Representations_for_Differential_Morph_Detection_WACV_2021_paper.pdf",
        "aff": "West Virginia University",
        "project": "",
        "github": "",
        "arxiv": "2012.01542",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Neural Contrast Enhancement of CT Image",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Seo_Neural_Contrast_Enhancement_of_CT_Image_WACV_2021_paper.html",
        "author": "Minkyo Seo, Dongkeun Kim, Kyungmoon Lee, Seunghoon Hong, Jae Seok Bae, Jung Hoon Kim, Suha Kwak",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Seo_Neural_Contrast_Enhancement_of_CT_Image_WACV_2021_paper.pdf",
        "aff": "POSTECH; KAIST; Seoul National University College of Medicine; Seoul National University Hospital",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Neuron Matching in C. elegans With Robust Approximate Linear Regression Without Correspondence",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Nejatbakhsh_Neuron_Matching_in_C._elegans_With_Robust_Approximate_Linear_Regression_WACV_2021_paper.html",
        "author": "Amin Nejatbakhsh, Erdem Varol",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Nejatbakhsh_Neuron_Matching_in_C._elegans_With_Robust_Approximate_Linear_Regression_WACV_2021_paper.pdf",
        "aff": "Department of Neuroscience, Department of Statistics, Zuckerman Institute Grossman Center for the Statistics of Mind, Columbia University, New York, NY USA",
        "project": "",
        "github": "https://github.com/amin-nejat/RRWOC",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Noise as a Resource for Learning in Knowledge Distillation",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Arani_Noise_as_a_Resource_for_Learning_in_Knowledge_Distillation_WACV_2021_paper.html",
        "author": "Elahe Arani, Fahad Sarfraz, Bahram Zonooz",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Arani_Noise_as_a_Resource_for_Learning_in_Knowledge_Distillation_WACV_2021_paper.pdf",
        "aff": "; Advanced Research Lab, NavInfo Europe, Eindhoven, The Netherlands",
        "project": "",
        "github": "",
        "arxiv": "1910.05057",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Noisy Concurrent Training for Efficient Learning Under Label Noise",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Sarfraz_Noisy_Concurrent_Training_for_Efficient_Learning_Under_Label_Noise_WACV_2021_paper.html",
        "author": "Fahad Sarfraz, Elahe Arani, Bahram Zonooz",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Sarfraz_Noisy_Concurrent_Training_for_Efficient_Learning_Under_Label_Noise_WACV_2021_paper.pdf",
        "aff": "; Advanced Research Lab, NavInfo Europe, Eindhoven, The Netherlands",
        "project": "",
        "github": "",
        "arxiv": "2009.08325",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Novel View Synthesis via Depth-Guided Skip Connections",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Hou_Novel_View_Synthesis_via_Depth-Guided_Skip_Connections_WACV_2021_paper.html",
        "author": "Yuxin Hou, Arno Solin, Juho Kannala",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Hou_Novel_View_Synthesis_via_Depth-Guided_Skip_Connections_WACV_2021_paper.pdf",
        "aff": "Department of Computer Science, Aalto University, Espoo, Finland",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Object Recognition With Continual Open Set Domain Adaptation for Home Robot",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Kishida_Object_Recognition_With_Continual_Open_Set_Domain_Adaptation_for_Home_WACV_2021_paper.html",
        "author": "Ikki Kishida, Hong Chen, Masaki Baba, Jiren Jin, Ayako Amma, Hideki Nakayama",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Kishida_Object_Recognition_With_Continual_Open_Set_Domain_Adaptation_for_Home_WACV_2021_paper.pdf",
        "aff": "Graduate School of Information Science and Technology, The University of Tokyo, Tokyo, Japan; Toyota Research Institute - Advanced Development, Tokyo, Japan",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "On the Generalization of Learning-Based 3D Reconstruction",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Bautista_On_the_Generalization_of_Learning-Based_3D_Reconstruction_WACV_2021_paper.html",
        "author": "Miguel Angel Bautista, Walter Talbott, Shuangfei Zhai, Nitish Srivastava, Joshua M. Susskind",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Bautista_On_the_Generalization_of_Learning-Based_3D_Reconstruction_WACV_2021_paper.pdf",
        "aff": "Apple",
        "project": "",
        "github": "",
        "arxiv": "2006.15427",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "On the Texture Bias for Few-Shot CNN Segmentation",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Azad_On_the_Texture_Bias_for_Few-Shot_CNN_Segmentation_WACV_2021_paper.html",
        "author": "Reza Azad, Abdur R. Fayjie, Claude Kauffmann, Ismail Ben Ayed, Marco Pedersoli, Jose Dolz",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Azad_On_the_Texture_Bias_for_Few-Shot_CNN_Segmentation_WACV_2021_paper.pdf",
        "aff": "",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "One-Shot Image Recognition Using Prototypical Encoders With Reduced Hubness",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Xiao_One-Shot_Image_Recognition_Using_Prototypical_Encoders_With_Reduced_Hubness_WACV_2021_paper.html",
        "author": "Chenxi Xiao, Naveen Madapana, Juan Wachs",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Xiao_One-Shot_Image_Recognition_Using_Prototypical_Encoders_With_Reduced_Hubness_WACV_2021_paper.pdf",
        "aff": "Purdue University, West Lafayette, 47906, USA",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Only Time Can Tell: Discovering Temporal Data for Temporal Modeling",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Sevilla-Lara_Only_Time_Can_Tell_Discovering_Temporal_Data_for_Temporal_Modeling_WACV_2021_paper.html",
        "author": "Laura Sevilla-Lara, Shengxin Zha, Zhicheng Yan, Vedanuj Goswami, Matt Feiszli, Lorenzo Torresani",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Sevilla-Lara_Only_Time_Can_Tell_Discovering_Temporal_Data_for_Temporal_Modeling_WACV_2021_paper.pdf",
        "aff": "University of Edinburgh; Facebook AI",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Ontology-Driven Event Type Classification in Images",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Muller-Budack_Ontology-Driven_Event_Type_Classification_in_Images_WACV_2021_paper.html",
        "author": "Eric Muller-Budack, Matthias Springstein, Sherzod Hakimov, Kevin Mrutzek, Ralph Ewerth",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Muller-Budack_Ontology-Driven_Event_Type_Classification_in_Images_WACV_2021_paper.pdf",
        "aff": "TIB - Leibniz Information Centre for Science and Technology, Hannover, Germany; TIB - Leibniz Information Centre for Science and Technology, Hannover, Germany and Leibniz University Hannover, L3S Research Center, Hannover, Germany; Leibniz University Hannover, L3S Research Center, Hannover, Germany",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Optimistic Agent: Accurate Graph-Based Value Estimation for More Successful Visual Navigation",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Moghaddam_Optimistic_Agent_Accurate_Graph-Based_Value_Estimation_for_More_Successful_Visual_WACV_2021_paper.html",
        "author": "Mahdi Kazemi Moghaddam, Qi Wu, Ehsan Abbasnejad, Javen Shi",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Moghaddam_Optimistic_Agent_Accurate_Graph-Based_Value_Estimation_for_More_Successful_Visual_WACV_2021_paper.pdf",
        "aff": "Australian Institute for Machine Learning, The University of Adelaide",
        "project": "",
        "github": "",
        "arxiv": "2004.03222",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Oriented Object Detection in Aerial Images With Box Boundary-Aware Vectors",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Yi_Oriented_Object_Detection_in_Aerial_Images_With_Box_Boundary-Aware_Vectors_WACV_2021_paper.html",
        "author": "Jingru Yi, Pengxiang Wu, Bo Liu, Qiaoying Huang, Hui Qu, Dimitris Metaxas",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Yi_Oriented_Object_Detection_in_Aerial_Images_With_Box_Boundary-Aware_Vectors_WACV_2021_paper.pdf",
        "aff": "Department of Computer Science, Rutgers University, Piscataway, NJ 08854, USA",
        "project": "",
        "github": "https://github.com/yijingru/BBAVectors-Oriented-Object-Detection",
        "arxiv": "2008.07043",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "OverNet: Lightweight Multi-Scale Super-Resolution With Overscaling Network",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Behjati_OverNet_Lightweight_Multi-Scale_Super-Resolution_With_Overscaling_Network_WACV_2021_paper.html",
        "author": "Parichehr Behjati, Pau Rodriguez, Armin Mehri, Isabelle Hupont, Carles Fernandez Tena, Jordi Gonzalez",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Behjati_OverNet_Lightweight_Multi-Scale_Super-Resolution_With_Overscaling_Network_WACV_2021_paper.pdf",
        "aff": "Herta Security, Barcelona, Catalonia, Spain; Element AI, Montreal, Canada; Computer Vision Center, Barcelona, Catalonia, Spain",
        "project": "",
        "github": "",
        "arxiv": "2008.02382",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Overcomplete Deep Subspace Clustering Networks",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Valanarasu_Overcomplete_Deep_Subspace_Clustering_Networks_WACV_2021_paper.html",
        "author": "Jeya Maria Jose Valanarasu, Vishal M. Patel",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Valanarasu_Overcomplete_Deep_Subspace_Clustering_Networks_WACV_2021_paper.pdf",
        "aff": "Department of Electrical and Computer Engineering, Johns Hopkins University, 3400 N. Charles St, Baltimore, MD 21218, USA",
        "project": "",
        "github": "https://github.com/jeya-maria-jose/Overcomplete-Deep-Subspace-Clustering",
        "arxiv": "2011.08306",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "PDAN: Pyramid Dilated Attention Network for Action Detection",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Dai_PDAN_Pyramid_Dilated_Attention_Network_for_Action_Detection_WACV_2021_paper.html",
        "author": "Rui Dai, Srijan Das, Luca Minciullo, Lorenzo Garattoni, Gianpiero Francesca, Francois Bremond",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Dai_PDAN_Pyramid_Dilated_Attention_Network_for_Action_Detection_WACV_2021_paper.pdf",
        "aff": "Toyota Motor Europe; Inria, Universit\u00e8 C\u00f4te d\u2019Azur",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "PI-Net: Pose Interacting Network for Multi-Person Monocular 3D Pose Estimation",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Guo_PI-Net_Pose_Interacting_Network_for_Multi-Person_Monocular_3D_Pose_Estimation_WACV_2021_paper.html",
        "author": "Wen Guo, Enric Corona, Francesc Moreno-Noguer, Xavier Alameda-Pineda",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Guo_PI-Net_Pose_Interacting_Network_for_Multi-Person_Monocular_3D_Pose_Estimation_WACV_2021_paper.pdf",
        "aff": "Institut de Rob `otica i Inform `atica Industrial, CSIC-UPC, Barcelona, Spain; Inria, Univ. Grenoble Alpes, CNRS, Grenoble INP, LJK, 38000 Grenoble, France",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "PNPDet: Efficient Few-Shot Detection Without Forgetting via Plug-and-Play Sub-Networks",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Zhang_PNPDet_Efficient_Few-Shot_Detection_Without_Forgetting_via_Plug-and-Play_Sub-Networks_WACV_2021_paper.html",
        "author": "Gongjie Zhang, Kaiwen Cui, Rongliang Wu, Shijian Lu, Yonghong Tian",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Zhang_PNPDet_Efficient_Few-Shot_Detection_Without_Forgetting_via_Plug-and-Play_Sub-Networks_WACV_2021_paper.pdf",
        "aff": "Peking University; Nanyang Technological University",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Painting Outside As Inside: Edge Guided Image Outpainting via Bidirectional Rearrangement With Progressive Step Learning",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Kim_Painting_Outside_As_Inside_Edge_Guided_Image_Outpainting_via_Bidirectional_WACV_2021_paper.html",
        "author": "Kyunghun Kim, Yeohun Yun, Keon-Woo Kang, Kyeongbo Kong, Siyeong Lee, Suk-Ju Kang",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Kim_Painting_Outside_As_Inside_Edge_Guided_Image_Outpainting_via_Bidirectional_WACV_2021_paper.pdf",
        "aff": "NAVER LABS, South Korea; Department of Electrical Engineering, POSTECH, Pohang, South Korea; Department of Electronic Engineering, Sogang University, Seoul, South Korea",
        "project": "",
        "github": "",
        "arxiv": "2010.01810",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Part Segmentation of Unseen Objects Using Keypoint Guidance",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Naha_Part_Segmentation_of_Unseen_Objects_Using_Keypoint_Guidance_WACV_2021_paper.html",
        "author": "Shujon Naha, Qingyang Xiao, Prianka Banik, Md. Alimoor Reza, David J. Crandall",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Naha_Part_Segmentation_of_Unseen_Objects_Using_Keypoint_Guidance_WACV_2021_paper.pdf",
        "aff": "; Luddy School of Informatics, Computing, and Engineering, Indiana University",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Person-in-Context Synthesis With Compositional Structural Space",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Yin_Person-in-Context_Synthesis_With_Compositional_Structural_Space_WACV_2021_paper.html",
        "author": "Weidong Yin, Ziwei Liu, Leonid Sigal",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Yin_Person-in-Context_Synthesis_With_Compositional_Structural_Space_WACV_2021_paper.pdf",
        "aff": "University of British Columbia; Nanyang Technological University",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Phase-Wise Parameter Aggregation for Improving SGD Optimization",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Kobayashi_Phase-Wise_Parameter_Aggregation_for_Improving_SGD_Optimization_WACV_2021_paper.html",
        "author": "Takumi Kobayashi",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Kobayashi_Phase-Wise_Parameter_Aggregation_for_Improving_SGD_Optimization_WACV_2021_paper.pdf",
        "aff": "National Institute of Advanced Industrial Science and Technology, 1-1-1 Umezono, Tsukuba, Japan",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Pretraining Boosts Out-of-Domain Robustness for Pose Estimation",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Mathis_Pretraining_Boosts_Out-of-Domain_Robustness_for_Pose_Estimation_WACV_2021_paper.html",
        "author": "Alexander Mathis, Thomas Biasi, Steffen Schneider, Mert Yuksekgonul, Byron Rogers, Matthias Bethge, Mackenzie W. Mathis",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Mathis_Pretraining_Boosts_Out-of-Domain_Robustness_for_Pose_Estimation_WACV_2021_paper.pdf",
        "aff": "University of T\u00fcbingen; EPFL; Harvard University; Performance Genetics",
        "project": "http://horse10.deeplabcut.org",
        "github": "",
        "arxiv": "1909.11229",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Proposal Learning for Semi-Supervised Object Detection",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Tang_Proposal_Learning_for_Semi-Supervised_Object_Detection_WACV_2021_paper.html",
        "author": "Peng Tang, Chetan Ramaiah, Yan Wang, Ran Xu, Caiming Xiong",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Tang_Proposal_Learning_for_Semi-Supervised_Object_Detection_WACV_2021_paper.pdf",
        "aff": "Shanghai Key Laboratory of Multidimensional Information Processing, East China Normal University; Salesforce Research",
        "project": "",
        "github": "",
        "arxiv": "2001.05086",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "QuadroNet: Multi-Task Learning for Real-Time Semantic Depth Aware Instance Segmentation",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Goel_QuadroNet_Multi-Task_Learning_for_Real-Time_Semantic_Depth_Aware_Instance_Segmentation_WACV_2021_paper.html",
        "author": "Kratarth Goel, Praveen Srinivasan, Sarah Tariq, James Philbin",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Goel_QuadroNet_Multi-Task_Learning_for_Real-Time_Semantic_Depth_Aware_Instance_Segmentation_WACV_2021_paper.pdf",
        "aff": "Zoox Inc.",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "R-MNet: A Perceptual Adversarial Network for Image Inpainting",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Jam_R-MNet_A_Perceptual_Adversarial_Network_for_Image_Inpainting_WACV_2021_paper.html",
        "author": "Jireh Jam, Connah Kendrick, Vincent Drouard, Kevin Walker, Gee-Sern Hsu, Moi Hoon Yap",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Jam_R-MNet_A_Perceptual_Adversarial_Network_for_Image_Inpainting_WACV_2021_paper.pdf",
        "aff": "Manchester Metropolitan University, Manchester, UK; National Taiwan University of Science and Technology, Taipei, Taiwan; Image Metrics Ltd, Manchester, UK",
        "project": "",
        "github": "https://github.com/Jireh-Jam/R-MNet-Inpainting-keras",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "RGPNet: A Real-Time General Purpose Semantic Segmentation",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Arani_RGPNet_A_Real-Time_General_Purpose_Semantic_Segmentation_WACV_2021_paper.html",
        "author": "Elahe Arani, Shabbir Marzban, Andrei Pata, Bahram Zonooz",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Arani_RGPNet_A_Real-Time_General_Purpose_Semantic_Segmentation_WACV_2021_paper.pdf",
        "aff": "; Advanced Research Lab, NavInfo Europe, Eindhoven, The Netherlands",
        "project": "",
        "github": "",
        "arxiv": "1912.01394",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "RNNP: A Robust Few-Shot Learning Approach",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Mazumder_RNNP_A_Robust_Few-Shot_Learning_Approach_WACV_2021_paper.html",
        "author": "Pratik Mazumder, Pravendra Singh, Vinay P. Namboodiri",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Mazumder_RNNP_A_Robust_Few-Shot_Learning_Approach_WACV_2021_paper.pdf",
        "aff": "University of Bath, United Kingdom; Department of Computer Science and Engineering, IIT Kanpur, India",
        "project": "",
        "github": "",
        "arxiv": "2011.11067",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "RODNet: Radar Object Detection Using Cross-Modal Supervision",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Wang_RODNet_Radar_Object_Detection_Using_Cross-Modal_Supervision_WACV_2021_paper.html",
        "author": "Yizhou Wang, Zhongyu Jiang, Xiangyu Gao, Jenq-Neng Hwang, Guanbin Xing, Hui Liu",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Wang_RODNet_Radar_Object_Detection_Using_Cross-Modal_Supervision_WACV_2021_paper.pdf",
        "aff": "University of Washington, Seattle, WA; University of Washington, Seattle, WA and Silkwave Holdings Limited, Hong Kong",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "RarePlanes: Synthetic Data Takes Flight",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Shermeyer_RarePlanes_Synthetic_Data_Takes_Flight_WACV_2021_paper.html",
        "author": "Jacob Shermeyer, Thomas Hossler, Adam Van Etten, Daniel Hogan, Ryan Lewis, Daeil Kim",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Shermeyer_RarePlanes_Synthetic_Data_Takes_Flight_WACV_2021_paper.pdf",
        "aff": "IQT - CosmiQ Works; AI.Reverie",
        "project": "",
        "github": "",
        "arxiv": "2006.02963",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Real-Time Gait-Based Age Estimation and Gender Classification From a Single Image",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Xu_Real-Time_Gait-Based_Age_Estimation_and_Gender_Classification_From_a_Single_WACV_2021_paper.html",
        "author": "Chi Xu, Yasushi Makihara, Ruochen Liao, Hirotaka Niitsuma, Xiang Li, Yasushi Yagi, Jianfeng Lu",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Xu_Real-Time_Gait-Based_Age_Estimation_and_Gender_Classification_From_a_Single_WACV_2021_paper.pdf",
        "aff": "Osaka University, Osaka, Japan; Nanjing University of Science and Technology, Nanjing, China",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Real-Time Localized Photorealistic Video Style Transfer",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Xia_Real-Time_Localized_Photorealistic_Video_Style_Transfer_WACV_2021_paper.html",
        "author": "Xide Xia, Tianfan Xue, Wei-Sheng Lai, Zheng Sun, Abby Chang, Brian Kulis, Jiawen Chen",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Xia_Real-Time_Localized_Photorealistic_Video_Style_Transfer_WACV_2021_paper.pdf",
        "aff": "Boston University; Google; Google Research",
        "project": "",
        "github": "",
        "arxiv": "2010.10056",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Real-Time RGBD-Based Extended Body Pose Estimation",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Bashirov_Real-Time_RGBD-Based_Extended_Body_Pose_Estimation_WACV_2021_paper.html",
        "author": "Renat Bashirov, Anastasia Ianina, Karim Iskakov, Yevgeniy Kononenko, Valeriya Strizhkova, Victor Lempitsky, Alexander Vakhitov",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Bashirov_Real-Time_RGBD-Based_Extended_Body_Pose_Estimation_WACV_2021_paper.pdf",
        "aff": "Samsung AI Center \u2013 Moscow, Russia; Skolkovo Institute of Science and Technology, Russia",
        "project": "",
        "github": "https://saic-violet.github.io/rgbd-kinect-pose",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Real-Time Uncertainty Estimation in Computer Vision via Uncertainty-Aware Distribution Distillation",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Shen_Real-Time_Uncertainty_Estimation_in_Computer_Vision_via_Uncertainty-Aware_Distribution_Distillation_WACV_2021_paper.html",
        "author": "Yichen Shen, Zhilu Zhang, Mert R. Sabuncu, Lin Sun",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Shen_Real-Time_Uncertainty_Estimation_in_Computer_Vision_via_Uncertainty-Aware_Distribution_Distillation_WACV_2021_paper.pdf",
        "aff": "Cornell University; Cornell Univerisity; Samsung Inc, USA",
        "project": "",
        "github": "",
        "arxiv": "2007.15857",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Receptive Field Size Optimization With Continuous Time Pooling",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Babicz_Receptive_Field_Size_Optimization_With_Continuous_Time_Pooling_WACV_2021_paper.html",
        "author": "Dora Babicz, Soma Kontar, Mark Peto, Andras Fulop, Gergely Szabo, Andras Horvath",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Babicz_Receptive_Field_Size_Optimization_With_Continuous_Time_Pooling_WACV_2021_paper.pdf",
        "aff": "Peter Pazmany Catholic University - Faculty of Information Technology and Bionics",
        "project": "",
        "github": "",
        "arxiv": "2011.00869",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Recovering Trajectories of Unmarked Joints in 3D Human Actions Using Latent Space Optimization",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Lohit_Recovering_Trajectories_of_Unmarked_Joints_in_3D_Human_Actions_Using_WACV_2021_paper.html",
        "author": "Suhas Lohit, Rushil Anirudh, Pavan Turaga",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Lohit_Recovering_Trajectories_of_Unmarked_Joints_in_3D_Human_Actions_Using_WACV_2021_paper.pdf",
        "aff": "Arizona State University, Tempe AZ; Lawrence Livermore National Laboratories, Livermore, CA; Mitsubishi Electric Research Laboratories, Cambridge, MA",
        "project": "",
        "github": "",
        "arxiv": "2012.02043",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Red Carpet to Fight Club: Partially-Supervised Domain Transfer for Face Recognition in Violent Videos",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Bilge_Red_Carpet_to_Fight_Club_Partially-Supervised_Domain_Transfer_for_Face_WACV_2021_paper.html",
        "author": "Yunus Can Bilge, Mehmet Kerim Yucel, Ramazan Gokberk Cinbis, Nazli Ikizler-Cinbis, Pinar Duygulu",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Bilge_Red_Carpet_to_Fight_Club_Partially-Supervised_Domain_Transfer_for_Face_WACV_2021_paper.pdf",
        "aff": "Department of Computer Engineering, Hacettepe University; Department of Computer Engineering, Middle East Technical University",
        "project": "",
        "github": "https://ycbilge.github.io/wildestFaces",
        "arxiv": "2009.07576",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Reducing the Annotation Effort for Video Object Segmentation Datasets",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Voigtlaender_Reducing_the_Annotation_Effort_for_Video_Object_Segmentation_Datasets_WACV_2021_paper.html",
        "author": "Paul Voigtlaender, Lishu Luo, Chun Yuan, Yong Jiang, Bastian Leibe",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Voigtlaender_Reducing_the_Annotation_Effort_for_Video_Object_Segmentation_Datasets_WACV_2021_paper.pdf",
        "aff": "Tsinghua Shenzhen International Graduate School; RWTH Aachen University",
        "project": "www.vision.rwth-aachen.de/page/taovos",
        "github": "",
        "arxiv": "2011.01142",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "RefineLoc: Iterative Refinement for Weakly-Supervised Action Localization",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Pardo_RefineLoc_Iterative_Refinement_for_Weakly-Supervised_Action_Localization_WACV_2021_paper.html",
        "author": "Alejandro Pardo, Humam Alwassel, Fabian Caba, Ali Thabet, Bernard Ghanem",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Pardo_RefineLoc_Iterative_Refinement_for_Weakly-Supervised_Action_Localization_WACV_2021_paper.pdf",
        "aff": "King Abdullah University of Science and Technology (KAUST); Adobe Research",
        "project": "http://humamalwassel.com/publication/refineloc",
        "github": "",
        "arxiv": "1904.00227",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Regional Attention Networks With Context-Aware Fusion for Group Emotion Recognition",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Khan_Regional_Attention_Networks_With_Context-Aware_Fusion_for_Group_Emotion_Recognition_WACV_2021_paper.html",
        "author": "Ahmed Shehab Khan, Zhiyuan Li, Jie Cai, Yan Tong",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Khan_Regional_Attention_Networks_With_Context-Aware_Fusion_for_Group_Emotion_Recognition_WACV_2021_paper.pdf",
        "aff": "Department of Computer Science & Engineering, University of South Carolina, Columbia, SC; InnoPeak Technology, Palo Alto, CA",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Relighting Images in the Wild With a Self-Supervised Siamese Auto-Encoder",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Liu_Relighting_Images_in_the_Wild_With_a_Self-Supervised_Siamese_Auto-Encoder_WACV_2021_paper.html",
        "author": "Yang Liu, Alexandros Neophytou, Sunando Sengupta, Eric Sommerlade",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Liu_Relighting_Images_in_the_Wild_With_a_Self-Supervised_Siamese_Auto-Encoder_WACV_2021_paper.pdf",
        "aff": "University of Surrey, UK; Microsoft Corporation, Reading, UK",
        "project": "",
        "github": "",
        "arxiv": "2012.06444",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Representation Learning From Videos In-the-Wild: An Object-Centric Approach",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Romijnders_Representation_Learning_From_Videos_In-the-Wild_An_Object-Centric_Approach_WACV_2021_paper.html",
        "author": "Rob Romijnders, Aravindh Mahendran, Michael Tschannen, Josip Djolonga, Marvin Ritter, Neil Houlsby, Mario Lucic",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Romijnders_Representation_Learning_From_Videos_In-the-Wild_An_Object-Centric_Approach_WACV_2021_paper.pdf",
        "aff": "Google Research (Brain Team)",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Representation Learning Through Latent Canonicalizations",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Litany_Representation_Learning_Through_Latent_Canonicalizations_WACV_2021_paper.html",
        "author": "Or Litany, Ari Morcos, Srinath Sridhar, Leonidas Guibas, Judy Hoffman",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Litany_Representation_Learning_Through_Latent_Canonicalizations_WACV_2021_paper.pdf",
        "aff": "Stanford University; Georgia Tech; Brown University; Facebook AI Research; NVIDIA",
        "project": "",
        "github": "",
        "arxiv": "2002.11829",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Representation Learning With Statistical Independence to Mitigate Bias",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Adeli_Representation_Learning_With_Statistical_Independence_to_Mitigate_Bias_WACV_2021_paper.html",
        "author": "Ehsan Adeli, Qingyu Zhao, Adolf Pfefferbaum, Edith V. Sullivan, Li Fei-Fei, Juan Carlos Niebles, Kilian M. Pohl",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Adeli_Representation_Learning_With_Statistical_Independence_to_Mitigate_Bias_WACV_2021_paper.pdf",
        "aff": "Center for Biomedical Sciences, SRI International, Menlo Park, CA 94205; Department of Psychiatry and Behavioral Sciences, Stanford University, CA 94305; Department of Computer Science, Stanford University, CA 94305",
        "project": "",
        "github": "https://github.com/QingyuZhao/BR-Net/",
        "arxiv": "1910.03676",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "ResNet or DenseNet? Introducing Dense Shortcuts to ResNet",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Zhang_ResNet_or_DenseNet_Introducing_Dense_Shortcuts_to_ResNet_WACV_2021_paper.html",
        "author": "Chaoning Zhang, Philipp Benz, Dawit Mureja Argaw, Seokju Lee, Junsik Kim, Francois Rameau, Jean-Charles Bazin, In So Kweon",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Zhang_ResNet_or_DenseNet_Introducing_Dense_Shortcuts_to_ResNet_WACV_2021_paper.pdf",
        "aff": "Korea Advanced Institute of Science and Technology",
        "project": "",
        "github": "",
        "arxiv": "2010.12496",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Revisiting Adaptive Convolutions for Video Frame Interpolation",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Niklaus_Revisiting_Adaptive_Convolutions_for_Video_Frame_Interpolation_WACV_2021_paper.html",
        "author": "Simon Niklaus, Long Mai, Oliver Wang",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Niklaus_Revisiting_Adaptive_Convolutions_for_Video_Frame_Interpolation_WACV_2021_paper.pdf",
        "aff": "Adobe Research",
        "project": "",
        "github": "",
        "arxiv": "2011.01280",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Revisiting Batch Normalization for Improving Corruption Robustness",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Benz_Revisiting_Batch_Normalization_for_Improving_Corruption_Robustness_WACV_2021_paper.html",
        "author": "Philipp Benz, Chaoning Zhang, Adil Karjauv, In So Kweon",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Benz_Revisiting_Batch_Normalization_for_Improving_Corruption_Robustness_WACV_2021_paper.pdf",
        "aff": "Korea Advanced Institute of Science and Technology (KAIST)",
        "project": "",
        "github": "",
        "arxiv": "2010.03630",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Revisiting Street-to-Aerial View Image Geo-Localization and Orientation Estimation",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Zhu_Revisiting_Street-to-Aerial_View_Image_Geo-Localization_and_Orientation_Estimation_WACV_2021_paper.html",
        "author": "Sijie Zhu, Taojiannan Yang, Chen Chen",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Zhu_Revisiting_Street-to-Aerial_View_Image_Geo-Localization_and_Orientation_Estimation_WACV_2021_paper.pdf",
        "aff": "University of North Carolina at Charlotte",
        "project": "",
        "github": "",
        "arxiv": "2005.11592",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Robust Lensless Image Reconstruction via PSF Estimation",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Rego_Robust_Lensless_Image_Reconstruction_via_PSF_Estimation_WACV_2021_paper.html",
        "author": "Joshua D. Rego, Karthik Kulkarni, Suren Jayasuriya",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Rego_Robust_Lensless_Image_Reconstruction_via_PSF_Estimation_WACV_2021_paper.pdf",
        "aff": "Arizona State University",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Rotate to Attend: Convolutional Triplet Attention Module",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Misra_Rotate_to_Attend_Convolutional_Triplet_Attention_Module_WACV_2021_paper.html",
        "author": "Diganta Misra, Trikay Nalamada, Ajay Uppili Arasanipalai, Qibin Hou",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Misra_Rotate_to_Attend_Convolutional_Triplet_Attention_Module_WACV_2021_paper.pdf",
        "aff": "National University of Singapore; Landskape; University of Illinois, Urbana Champaign; Indian Institute of Technology, Guwahati",
        "project": "",
        "github": "https://github.com/LandskapeAI/triplet-attention",
        "arxiv": "2010.03045",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "S-VVAD: Visual Voice Activity Detection by Motion Segmentation",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Shahid_S-VVAD_Visual_Voice_Activity_Detection_by_Motion_Segmentation_WACV_2021_paper.html",
        "author": "Muhammad Shahid, Cigdem Beyan, Vittorio Murino",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Shahid_S-VVAD_Visual_Voice_Activity_Detection_by_Motion_Segmentation_WACV_2021_paper.pdf",
        "aff": "Pattern Analysis and Computer Vision, Istituto Italiano di Tecnologia, Italy; Department of Computer Science, Universit `a di Verona, Italy; Huawei Technologies Ltd., Ireland Research Center, Ireland; Pattern Analysis and Computer Vision, Istituto Italiano di Tecnologia, Italy; DITEN, Universit `a degli Studi di Genova, Italy; Pattern Analysis and Computer Vision, Istituto Italiano di Tecnologia, Italy",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "S3-Net: A Fast and Lightweight Video Scene Understanding Network by Single-Shot Segmentation",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Cheng_S3-Net_A_Fast_and_Lightweight_Video_Scene_Understanding_Network_by_WACV_2021_paper.html",
        "author": "Yuan Cheng, Yuchao Yang, Hai-Bao Chen, Ngai Wong, Hao Yu",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Cheng_S3-Net_A_Fast_and_Lightweight_Video_Scene_Understanding_Network_by_WACV_2021_paper.pdf",
        "aff": "Shanghai Jiao Tong University, China; The University of Hong Kong, Hong Kong; Southern University of Science and Technology, China",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "SALAD: Self-Assessment Learning for Action Detection",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Vaudaux-Ruth_SALAD_Self-Assessment_Learning_for_Action_Detection_WACV_2021_paper.html",
        "author": "Guillaume Vaudaux-Ruth, Adrien Chan-Hon-Tong, Catherine Achard",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Vaudaux-Ruth_SALAD_Self-Assessment_Learning_for_Action_Detection_WACV_2021_paper.pdf",
        "aff": "ONERA, Universit\u00e9 Paris Saclay, Sorbonne Universit\u00e9; Sorbonne Universit\u00e9; ONERA, Universit\u00e9 Paris Saclay",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "SChISM: Semantic Clustering via Image Sequence Merging for Images of Human-Decomposition",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Mousavi_SChISM_Semantic_Clustering_via_Image_Sequence_Merging_for_Images_of_WACV_2021_paper.html",
        "author": "Sara Mousavi, Dylan Lee, Tatianna Griffin, Kelley Cross, Dawnie Steadman, Audris Mockus",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Mousavi_SChISM_Semantic_Clustering_via_Image_Sequence_Merging_for_Images_of_WACV_2021_paper.pdf",
        "aff": "University of Tennessee, Knoxville",
        "project": "",
        "github": "https://github.com/saramsv/SChISM",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "SHAD3S: A Model to Sketch, Shade and Shadow",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Venkataramaiyer_SHAD3S_A_Model_to_Sketch_Shade_and_Shadow_WACV_2021_paper.html",
        "author": "Raghav Brahmadesam Venkataramaiyer, Abhishek Joshi, Saisha Narang, Vinay P. Namboodiri",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Venkataramaiyer_SHAD3S_A_Model_to_Sketch_Shade_and_Shadow_WACV_2021_paper.pdf",
        "aff": "INDIAN INSTITUTE OF TECHNOLOGY KANPUR",
        "project": "https://bvraghav.com/shad3s/",
        "github": "",
        "arxiv": "2011.06822",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "SLAM in the Field: An Evaluation of Monocular Mapping and Localization on Challenging Dynamic Agricultural Environment",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Shu_SLAM_in_the_Field_An_Evaluation_of_Monocular_Mapping_and_WACV_2021_paper.html",
        "author": "Fangwen Shu, Paul Lesur, Yaxu Xie, Alain Pagani, Didier Stricker",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Shu_SLAM_in_the_Field_An_Evaluation_of_Monocular_Mapping_and_WACV_2021_paper.pdf",
        "aff": "DFKI - German Research Center for Arti\ufb01cial Intelligence",
        "project": "",
        "github": "",
        "arxiv": "2011.01122",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "SMPLpix: Neural Avatars From 3D Human Models",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Prokudin_SMPLpix_Neural_Avatars_From_3D_Human_Models_WACV_2021_paper.html",
        "author": "Sergey Prokudin, Michael J. Black, Javier Romero",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Prokudin_SMPLpix_Neural_Avatars_From_3D_Human_Models_WACV_2021_paper.pdf",
        "aff": "Amazon, T\u00a8ubingen Germany; Amazon, Barcelona Spain; Max Planck Institute for Intelligent Systems, T\u00a8ubingen Germany",
        "project": "",
        "github": "",
        "arxiv": "2008.06872",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "SSGP: Sparse Spatial Guided Propagation for Robust and Generic Interpolation",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Schuster_SSGP_Sparse_Spatial_Guided_Propagation_for_Robust_and_Generic_Interpolation_WACV_2021_paper.html",
        "author": "Rene Schuster, Oliver Wasenmuller, Christian Unger, Didier Stricker",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Schuster_SSGP_Sparse_Spatial_Guided_Propagation_for_Robust_and_Generic_Interpolation_WACV_2021_paper.pdf",
        "aff": "DFKI - German Research Center for Arti\ufb01cial Intelligence; BMW Group",
        "project": "",
        "github": "",
        "arxiv": "2008.09346",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "SWAG: Superpixels Weighted by Average Gradients for Explanations of CNNs",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Hartley_SWAG_Superpixels_Weighted_by_Average_Gradients_for_Explanations_of_CNNs_WACV_2021_paper.html",
        "author": "Thomas Hartley, Kirill Sidorov, Christopher Willis, David Marshall",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Hartley_SWAG_Superpixels_Weighted_by_Average_Gradients_for_Explanations_of_CNNs_WACV_2021_paper.pdf",
        "aff": "BAE Systems Applied Intelligence; Cardiff University",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Saliency Driven Perceptual Image Compression",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Patel_Saliency_Driven_Perceptual_Image_Compression_WACV_2021_paper.html",
        "author": "Yash Patel, Srikar Appalaraju, R. Manmatha",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Patel_Saliency_Driven_Perceptual_Image_Compression_WACV_2021_paper.pdf",
        "aff": "Amazon Web Services, Palo Alto; Visual Recognition Group, Czech Technical University in Prague",
        "project": "",
        "github": "",
        "arxiv": "2002.04988",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Saliency Prediction With External Knowledge",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Zhang_Saliency_Prediction_With_External_Knowledge_WACV_2021_paper.html",
        "author": "Yifeng Zhang, Ming Jiang, Qi Zhao",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Zhang_Saliency_Prediction_With_External_Knowledge_WACV_2021_paper.pdf",
        "aff": "University of Minnesota, Twin Cities",
        "project": "",
        "github": "",
        "arxiv": "2007.13839",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Same Same but DifferNet: Semi-Supervised Defect Detection With Normalizing Flows",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Rudolph_Same_Same_but_DifferNet_Semi-Supervised_Defect_Detection_With_Normalizing_Flows_WACV_2021_paper.html",
        "author": "Marco Rudolph, Bastian Wandt, Bodo Rosenhahn",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Rudolph_Same_Same_but_DifferNet_Semi-Supervised_Defect_Detection_With_Normalizing_Flows_WACV_2021_paper.pdf",
        "aff": "Leibniz University Hanover",
        "project": "",
        "github": "",
        "arxiv": "2008.12577",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Scale Aware Adaptation for Land-Cover Classification in Remote Sensing Imagery",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Deng_Scale_Aware_Adaptation_for_Land-Cover_Classification_in_Remote_Sensing_Imagery_WACV_2021_paper.html",
        "author": "Xueqing Deng, Yi Zhu, Yuxin Tian, Shawn Newsam",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Deng_Scale_Aware_Adaptation_for_Land-Cover_Classification_in_Remote_Sensing_Imagery_WACV_2021_paper.pdf",
        "aff": "EECS, UC Merced; Amazon Web Services",
        "project": "",
        "github": "https://github.com/xdeng7/scale-aware_da",
        "arxiv": "2012.04222",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Scale Equivariance Improves Siamese Tracking",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Sosnovik_Scale_Equivariance_Improves_Siamese_Tracking_WACV_2021_paper.html",
        "author": "Ivan Sosnovik, Artem Moskalev, Arnold W.M. Smeulders",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Sosnovik_Scale_Equivariance_Improves_Siamese_Tracking_WACV_2021_paper.pdf",
        "aff": "UvA-Bosch Delta Lab, University of Amsterdam, Netherlands",
        "project": "",
        "github": "https://github.com/isosnovik/SiamSE",
        "arxiv": "2007.09115",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Scaling Digital Screen Reading With One-Shot Learning and Re-Identification",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Charles_Scaling_Digital_Screen_Reading_With_One-Shot_Learning_and_Re-Identification_WACV_2021_paper.html",
        "author": "James Charles, Stefano Bucciarelli, Roberto Cipolla",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Charles_Scaling_Digital_Screen_Reading_With_One-Shot_Learning_and_Re-Identification_WACV_2021_paper.pdf",
        "aff": "University of Cambridge, U.K",
        "project": "http://www.jjcvision.com/",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Seeing Through Your Skin: Recognizing Objects With a Novel Visuotactile Sensor",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Hogan_Seeing_Through_Your_Skin_Recognizing_Objects_With_a_Novel_Visuotactile_WACV_2021_paper.html",
        "author": "Francois R. Hogan, Michael Jenkin, Sahand Rezaei-Shoshtari, Yogesh Girdhar, David Meger, Gregory Dudek",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Hogan_Seeing_Through_Your_Skin_Recognizing_Objects_With_a_Novel_Visuotactile_WACV_2021_paper.pdf",
        "aff": "Samsung AI Center Montreal, Canada; Samsung AI Center Montreal, Canada; McGill University, Canada; Samsung AI Center Montreal, Canada; Woods Hole Oceanographic Institution, USA; McGill University, Canada; Samsung AI Center Montreal, Canada; York University, Canada",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Selective Spatio-Temporal Aggregation Based Pose Refinement System: Towards Understanding Human Activities in Real-World Videos",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Yang_Selective_Spatio-Temporal_Aggregation_Based_Pose_Refinement_System_Towards_Understanding_Human_WACV_2021_paper.html",
        "author": "Di Yang, Rui Dai, Yaohui Wang, Rupayan Mallick, Luca Minciullo, Gianpiero Francesca, Francois Bremond",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Yang_Selective_Spatio-Temporal_Aggregation_Based_Pose_Refinement_System_Towards_Understanding_Human_WACV_2021_paper.pdf",
        "aff": "Inria, Universit\u00e9 C\u00f4te d\u2019Azur; Toyota Motor Europe",
        "project": "",
        "github": "https://github.com/walker-a11y/SSTA-PRS",
        "arxiv": "2011.05358",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Self Supervision for Attention Networks",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Patro_Self_Supervision_for_Attention_Networks_WACV_2021_paper.html",
        "author": "Badri N. Patro, Kasturi G.S., Ansh Jain, Vinay P. Namboodiri",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Patro_Self_Supervision_for_Attention_Networks_WACV_2021_paper.pdf",
        "aff": "NSUT; IIT Kanpur; University of Bath",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Self-Distillation for Few-Shot Image Captioning",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Chen_Self-Distillation_for_Few-Shot_Image_Captioning_WACV_2021_paper.html",
        "author": "Xianyu Chen, Ming Jiang, Qi Zhao",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Chen_Self-Distillation_for_Few-Shot_Image_Captioning_WACV_2021_paper.pdf",
        "aff": "University of Minnesota, Twin Cities",
        "project": "",
        "github": "https://github.com/chenxy99/SD-FSIC",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Self-Supervised 4D Spatio-Temporal Feature Learning via Order Prediction of Sequential Point Cloud Clips",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Wang_Self-Supervised_4D_Spatio-Temporal_Feature_Learning_via_Order_Prediction_of_Sequential_WACV_2021_paper.html",
        "author": "Haiyan Wang, Liang Yang, Xuejian Rong, Jinglun Feng, Yingli Tian",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Wang_Self-Supervised_4D_Spatio-Temporal_Feature_Learning_via_Order_Prediction_of_Sequential_WACV_2021_paper.pdf",
        "aff": "The City College of New York, New York, NY 10031",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Self-Supervised Learning for Domain Adaptation on Point Clouds",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Achituve_Self-Supervised_Learning_for_Domain_Adaptation_on_Point_Clouds_WACV_2021_paper.html",
        "author": "Idan Achituve, Haggai Maron, Gal Chechik",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Achituve_Self-Supervised_Learning_for_Domain_Adaptation_on_Point_Clouds_WACV_2021_paper.pdf",
        "aff": "NVIDIA, Tel-Aviv, Israel; Bar-Ilan University, Israel; NVIDIA, Israel; Bar-Ilan University, Ramat Gan, Israel",
        "project": "",
        "github": "",
        "arxiv": "2003.12641",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Self-Supervised Poisson-Gaussian Denoising",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Khademi_Self-Supervised_Poisson-Gaussian_Denoising_WACV_2021_paper.html",
        "author": "Wesley Khademi, Sonia Rao, Clare Minnerath, Guy Hagen, Jonathan Ventura",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Khademi_Self-Supervised_Poisson-Gaussian_Denoising_WACV_2021_paper.pdf",
        "aff": "University of Georgia; California Polytechnic State University; University of Colorado Colorado Springs; Providence College",
        "project": "",
        "github": "",
        "arxiv": "2002.09558",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Self-Supervised Training for Blind Multi-Frame Video Denoising",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Dewil_Self-Supervised_Training_for_Blind_Multi-Frame_Video_Denoising_WACV_2021_paper.html",
        "author": "Valery Dewil, Jeremy Anger, Axel Davy, Thibaud Ehret, Gabriele Facciolo, Pablo Arias",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Dewil_Self-Supervised_Training_for_Blind_Multi-Frame_Video_Denoising_WACV_2021_paper.pdf",
        "aff": "",
        "project": "",
        "github": "",
        "arxiv": "2004.06957",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Self-Supervised Visual-LiDAR Odometry With Flip Consistency",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Li_Self-Supervised_Visual-LiDAR_Odometry_With_Flip_Consistency_WACV_2021_paper.html",
        "author": "Bin Li, Mu Hu, Shuling Wang, Lianghao Wang, Xiaojin Gong",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Li_Self-Supervised_Visual-LiDAR_Odometry_With_Flip_Consistency_WACV_2021_paper.pdf",
        "aff": "Zhejiang Lab, Hangzhou, China; College of Information Science and Electronic Engineering, Zhejiang University, China",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Separable Four Points Fundamental Matrix",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Ben-Artzi_Separable_Four_Points_Fundamental_Matrix_WACV_2021_paper.html",
        "author": "Gil Ben-Artzi",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Ben-Artzi_Separable_Four_Points_Fundamental_Matrix_WACV_2021_paper.pdf",
        "aff": "Computer Science Department, Ariel University",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Set Augmented Triplet Loss for Video Person Re-Identification",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Fang_Set_Augmented_Triplet_Loss_for_Video_Person_Re-Identification_WACV_2021_paper.html",
        "author": "Pengfei Fang, Pan Ji, Lars Petersson, Mehrtash Harandi",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Fang_Set_Augmented_Triplet_Loss_for_Video_Person_Re-Identification_WACV_2021_paper.pdf",
        "aff": "Australian National University; DATA61-CSIRO; OPPO US Research Center; Monash University",
        "project": "",
        "github": "",
        "arxiv": "2011.00774",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Shape From Caustics: Reconstruction of 3D-Printed Glass From Simulated Caustic Images",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Kassubeck_Shape_From_Caustics_Reconstruction_of_3D-Printed_Glass_From_Simulated_Caustic_WACV_2021_paper.html",
        "author": "Marc Kassubeck, Florian Burgel, Susana Castillo, Sebastian Stiller, Marcus Magnor",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Kassubeck_Shape_From_Caustics_Reconstruction_of_3D-Printed_Glass_From_Simulated_Caustic_WACV_2021_paper.pdf",
        "aff": "Institute for Mathematical Optimization, TU Braunschweig; Institut f\u00fcr Computergraphik, TU Braunschweig",
        "project": "",
        "github": "https://bit.ly/3eqSzxR",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Shape From Semantic Segmentation via the Geometric Renyi Divergence",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Koizumi_Shape_From_Semantic_Segmentation_via_the_Geometric_Renyi_Divergence_WACV_2021_paper.html",
        "author": "Tatsuro Koizumi, William A. P. Smith",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Koizumi_Shape_From_Semantic_Segmentation_via_the_Geometric_Renyi_Divergence_WACV_2021_paper.pdf",
        "aff": "University of York, York, UK",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "SinGAN-GIF: Learning a Generative Video Model From a Single GIF",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Arora_SinGAN-GIF_Learning_a_Generative_Video_Model_From_a_Single_GIF_WACV_2021_paper.html",
        "author": "Rajat Arora, Yong Jae Lee",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Arora_SinGAN-GIF_Learning_a_Generative_Video_Model_From_a_Single_GIF_WACV_2021_paper.pdf",
        "aff": "University of California, Davis",
        "project": "https://rajat95.github.io/singan-gif/",
        "github": "https://github.com/rajat95/singan-gif",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Single Image Human Proxemics Estimation for Visual Social Distancing",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Aghaei_Single_Image_Human_Proxemics_Estimation_for_Visual_Social_Distancing_WACV_2021_paper.html",
        "author": "Maya Aghaei, Matteo Bustreo, Yiming Wang, Gianluca Bailo, Pietro Morerio, Alessio Del Bue",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Aghaei_Single_Image_Human_Proxemics_Estimation_for_Visual_Social_Distancing_WACV_2021_paper.pdf",
        "aff": "Dipartimento di Ingegneria Navale, Elettrica, Elettronica e delle Telecomunicazioni, University of Genova, Italy; Pattern Analysis & Computer Vision (PA VIS), Istituto Italiano di Tecnologia, Genova, Italy",
        "project": "",
        "github": "",
        "arxiv": "2011.02018",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Single Image Reflection Removal With Edge Guidance, Reflection Classifier, and Recurrent Decomposition",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Chang_Single_Image_Reflection_Removal_With_Edge_Guidance_Reflection_Classifier_and_WACV_2021_paper.html",
        "author": "Ya-Chu Chang, Chia-Ni Lu, Chia-Chi Cheng, Wei-Chen Chiu",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Chang_Single_Image_Reflection_Removal_With_Edge_Guidance_Reflection_Classifier_and_WACV_2021_paper.pdf",
        "aff": "National Chiao Tung University, Taiwan",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Size-Invariant Detection of Marine Vessels From Visual Time Series",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Marques_Size-Invariant_Detection_of_Marine_Vessels_From_Visual_Time_Series_WACV_2021_paper.html",
        "author": "Tunai Porto Marques, Alexandra Branzan Albu, Patrick O'Hara, Norma Serra, Ben Morrow, Lauren McWhinnie, Rosaline Canessa",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Marques_Size-Invariant_Detection_of_Marine_Vessels_From_Visual_Time_Series_WACV_2021_paper.pdf",
        "aff": "Canadian Wildlife Service, Environment and Climate Change Canada; University of Victoria, BC, Canada; Heriot-Watt University, Edinburgh, Scotland",
        "project": "",
        "github": "https://github.com/tunai/hybrid-boat-detection",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "SliceNets -- A Scalable Approach for Object Detection in 3D CT Scans",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Yang_SliceNets_--_A_Scalable_Approach_for_Object_Detection_in_3D_WACV_2021_paper.html",
        "author": "Anqi Yang, Feng Pan, Vishwanath Saragadam, Duy Dao, Zhuo Hui, Jen-Hao Rick Chang, Aswin C. Sankaranarayanan",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Yang_SliceNets_--_A_Scalable_Approach_for_Object_Detection_in_3D_WACV_2021_paper.pdf",
        "aff": "Carnegie Mellon University; IDSS Corporation",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "SoFA: Source-Data-Free Feature Alignment for Unsupervised Domain Adaptation",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Yeh_SoFA_Source-Data-Free_Feature_Alignment_for_Unsupervised_Domain_Adaptation_WACV_2021_paper.html",
        "author": "Hao-Wei Yeh, Baoyao Yang, Pong C. Yuen, Tatsuya Harada",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Yeh_SoFA_Source-Data-Free_Feature_Alignment_for_Unsupervised_Domain_Adaptation_WACV_2021_paper.pdf",
        "aff": "The University of Tokyo; Hong Kong Baptist University; The University of Tokyo, RIKEN",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Spatial Context-Aware Self-Attention Model for Multi-Organ Segmentation",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Tang_Spatial_Context-Aware_Self-Attention_Model_for_Multi-Organ_Segmentation_WACV_2021_paper.html",
        "author": "Hao Tang, Xingwei Liu, Kun Han, Xiaohui Xie, Xuming Chen, Huang Qian, Yong Liu, Shanlin Sun, Narisu Bai",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Tang_Spatial_Context-Aware_Self-Attention_Model_for_Multi-Organ_Segmentation_WACV_2021_paper.pdf",
        "aff": "DeepVoxel Inc.; Shanghai Jiao Tong University School of Medicine; University of California Irvine",
        "project": "",
        "github": "",
        "arxiv": "2012.09279",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Spatially Aware Metadata for Raw Reconstruction",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Punnappurath_Spatially_Aware_Metadata_for_Raw_Reconstruction_WACV_2021_paper.html",
        "author": "Abhijith Punnappurath, Michael S. Brown",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Punnappurath_Spatially_Aware_Metadata_for_Raw_Reconstruction_WACV_2021_paper.pdf",
        "aff": "Samsung AI Center \u2013 Toronto",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Spike-Thrift: Towards Energy-Efficient Deep Spiking Neural Networks by Limiting Spiking Activity via Attention-Guided Compression",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Kundu_Spike-Thrift_Towards_Energy-Efficient_Deep_Spiking_Neural_Networks_by_Limiting_Spiking_WACV_2021_paper.html",
        "author": "Souvik Kundu, Gourav Datta, Massoud Pedram, Peter A. Beerel",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Kundu_Spike-Thrift_Towards_Energy-Efficient_Deep_Spiking_Neural_Networks_by_Limiting_Spiking_WACV_2021_paper.pdf",
        "aff": "University of Southern California, Los Angeles, CA 90089",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Splatty- a Unified Image Demosaicing and Rectification Method",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Verma_Splatty-_a_Unified_Image_Demosaicing_and_Rectification_Method_WACV_2021_paper.html",
        "author": "Pranav Verma, Dominique E. Meyer, Hanyang Xu, Falko Kuester",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Verma_Splatty-_a_Unified_Image_Demosaicing_and_Rectification_Method_WACV_2021_paper.pdf",
        "aff": "University of California San Diego",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "StacMR: Scene-Text Aware Cross-Modal Retrieval",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Mafla_StacMR_Scene-Text_Aware_Cross-Modal_Retrieval_WACV_2021_paper.html",
        "author": "Andres Mafla, Rafael S. Rezende, Lluis Gomez, Diane Larlus, Dimosthenis Karatzas",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Mafla_StacMR_Scene-Text_Aware_Cross-Modal_Retrieval_WACV_2021_paper.pdf",
        "aff": "NAVER LABS Europe; Computer Vision Center, Universitat Aut\u00f2noma de Barcelona",
        "project": "http://europe.naverlabs.com/stacmr",
        "github": "",
        "arxiv": "2012.04329",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "StressNet: Detecting Stress in Thermal Videos",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Kumar_StressNet_Detecting_Stress_in_Thermal_Videos_WACV_2021_paper.html",
        "author": "Satish Kumar, A S M Iftekhar, Michael Goebel, Tom Bullock, Mary H. MacLean, Michael B. Miller, Tyler Santander, Barry Giesbrecht, Scott T. Grafton, B.S. Manjunath",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Kumar_StressNet_Detecting_Stress_in_Thermal_Videos_WACV_2021_paper.pdf",
        "aff": "University of California Santa Barbara, Dept. of Electrical & Computer Engineering; Dept. of Psychological and Brain Sciences and Institute for Collaborative Biotechnologies",
        "project": "",
        "github": "",
        "arxiv": "2011.09540",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Structured Visual Search via Composition-Aware Learning",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Kilickaya_Structured_Visual_Search_via_Composition-Aware_Learning_WACV_2021_paper.html",
        "author": "Mert Kilickaya, Arnold W.M. Smeulders",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Kilickaya_Structured_Visual_Search_via_Composition-Aware_Learning_WACV_2021_paper.pdf",
        "aff": "QUvA Lab, University of Amsterdam",
        "project": "",
        "github": "",
        "arxiv": "2010.14438",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Style Consistent Image Generation for Nuclei Instance Segmentation",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Gong_Style_Consistent_Image_Generation_for_Nuclei_Instance_Segmentation_WACV_2021_paper.html",
        "author": "Xuan Gong, Shuyan Chen, Baochang Zhang, David Doermann",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Gong_Style_Consistent_Image_Generation_for_Nuclei_Instance_Segmentation_WACV_2021_paper.pdf",
        "aff": "University at Buffalo; Beihang University",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Style Transfer by Rigid Alignment in Neural Net Feature Space",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Hada_Style_Transfer_by_Rigid_Alignment_in_Neural_Net_Feature_Space_WACV_2021_paper.html",
        "author": "Suryabhan Singh Hada, Miguel A. Carreira-Perpinan",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Hada_Style_Transfer_by_Rigid_Alignment_in_Neural_Net_Feature_Space_WACV_2021_paper.pdf",
        "aff": "Dept. CSE, University of California, Merced",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "SuPEr-SAM: Using the Supervision Signal From a Pose Estimator to Train a Spatial Attention Module for Personal Protective Equipment Recognition",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Sandru_SuPEr-SAM_Using_the_Supervision_Signal_From_a_Pose_Estimator_to_WACV_2021_paper.html",
        "author": "Adrian Sandru, Georgian-Emilian Duta, Mariana-Iuliana Georgescu, Radu Tudor Ionescu",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Sandru_SuPEr-SAM_Using_the_Supervision_Signal_From_a_Pose_Estimator_to_WACV_2021_paper.pdf",
        "aff": "SecurifAI, University of Bucharest",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "SubICap: Towards Subword-Informed Image Captioning",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Sharif_SubICap_Towards_Subword-Informed_Image_Captioning_WACV_2021_paper.html",
        "author": "Naeha Sharif, Mohammed Bennamoun, Wei Liu, Syed Afaq Ali Shah",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Sharif_SubICap_Towards_Subword-Informed_Image_Captioning_WACV_2021_paper.pdf",
        "aff": "The University of Western Australia, Perth, Western Australia; Murdoch University, Perth, Western Australia",
        "project": "",
        "github": "",
        "arxiv": "2012.13122",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Subject Guided Eye Image Synthesis With Application to Gaze Redirection",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Kaur_Subject_Guided_Eye_Image_Synthesis_With_Application_to_Gaze_Redirection_WACV_2021_paper.html",
        "author": "Harsimran Kaur, Roberto Manduchi",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Kaur_Subject_Guided_Eye_Image_Synthesis_With_Application_to_Gaze_Redirection_WACV_2021_paper.pdf",
        "aff": "University of California, Santa Cruz",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Subsurface Pipes Detection Using DNN-Based Back Projection on GPR Data",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Feng_Subsurface_Pipes_Detection_Using_DNN-Based_Back_Projection_on_GPR_Data_WACV_2021_paper.html",
        "author": "Jinglun Feng, Liang Yang, Haiyan Wang, Yingli Tian, Jizhong Xiao",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Feng_Subsurface_Pipes_Detection_Using_DNN-Based_Back_Projection_on_GPR_Data_WACV_2021_paper.pdf",
        "aff": "City College of New York",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Supervoxel Attention Graphs for Long-Range Video Modeling",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Wang_Supervoxel_Attention_Graphs_for_Long-Range_Video_Modeling_WACV_2021_paper.html",
        "author": "Yang Wang, Gedas Bertasius, Tae-Hyun Oh, Abhinav Gupta, Minh Hoai, Lorenzo Torresani",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Wang_Supervoxel_Attention_Graphs_for_Long-Range_Video_Modeling_WACV_2021_paper.pdf",
        "aff": "POSTECH; Stony Brook University; Facebook AI",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "SynDistNet: Self-Supervised Monocular Fisheye Camera Distance Estimation Synergized With Semantic Segmentation for Autonomous Driving",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Kumar_SynDistNet_Self-Supervised_Monocular_Fisheye_Camera_Distance_Estimation_Synergized_With_Semantic_WACV_2021_paper.html",
        "author": "Varun Ravi Kumar, Marvin Klingner, Senthil Yogamani, Stefan Milz, Tim Fingscheidt, Patrick Mader",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Kumar_SynDistNet_Self-Supervised_Monocular_Fisheye_Camera_Distance_Estimation_Synergized_With_Semantic_WACV_2021_paper.pdf",
        "aff": "Technische Universit \u00a8at Braunschweig, Germany; Valeo DAR Kronach, Germany; Technische Universit \u00a8at Ilmenau, Germany; Valeo Vision Systems, Ireland",
        "project": "",
        "github": "",
        "arxiv": "2008.04017",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Synthetic Expressions Are Better Than Real for Learning to Detect Facial Actions",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Niinuma_Synthetic_Expressions_Are_Better_Than_Real_for_Learning_to_Detect_WACV_2021_paper.html",
        "author": "Koichiro Niinuma, Itir Onal Ertugrul, Jeffrey F. Cohn, Laszlo A. Jeni",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Niinuma_Synthetic_Expressions_Are_Better_Than_Real_for_Learning_to_Detect_WACV_2021_paper.pdf",
        "aff": "Fujitsu Laboratories of America, Pittsburgh, PA, USA; Carnegie Mellon University, Pittsburgh, PA, USA; Tilburg University, Tilburg, The Netherlands; University of Pittsburgh, Pittsburgh, PA, USA",
        "project": "",
        "github": "",
        "arxiv": "2010.10979",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "TB-Net: A Three-Stream Boundary-Aware Network for Fine-Grained Pavement Disease Segmentation",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Zhang_TB-Net_A_Three-Stream_Boundary-Aware_Network_for_Fine-Grained_Pavement_Disease_Segmentation_WACV_2021_paper.html",
        "author": "Yujia Zhang, Qianzhong Li, Xiaoguang Zhao, Min Tan",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Zhang_TB-Net_A_Three-Stream_Boundary-Aware_Network_for_Fine-Grained_Pavement_Disease_Segmentation_WACV_2021_paper.pdf",
        "aff": "Institute of Automation, Chinese Academy of Sciences; School of Arti\ufb01cial Intelligence, University of Chinese Academy of Sciences; Institute of Automation, Chinese Academy of Sciences",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "TResNet: High Performance GPU-Dedicated Architecture",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Ridnik_TResNet_High_Performance_GPU-Dedicated_Architecture_WACV_2021_paper.html",
        "author": "Tal Ridnik, Hussam Lawen, Asaf Noy, Emanuel Ben Baruch, Gilad Sharir, Itamar Friedman",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Ridnik_TResNet_High_Performance_GPU-Dedicated_Architecture_WACV_2021_paper.pdf",
        "aff": "DAMO Academy, Alibaba Group",
        "project": "",
        "github": "https://github.com/mrT23/TResNet",
        "arxiv": "2003.13630",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Task-Assisted Domain Adaptation With Anchor Tasks",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Li_Task-Assisted_Domain_Adaptation_With_Anchor_Tasks_WACV_2021_paper.html",
        "author": "Zhizhong Li, Linjie Luo, Sergey Tulyakov, Qieyun Dai, Derek Hoiem",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Li_Task-Assisted_Domain_Adaptation_With_Anchor_Tasks_WACV_2021_paper.pdf",
        "aff": "1Computer Science, University of Illinois, Urbana Champaign, IL, USA; 2Snap Inc., Santa Monica, CA, USA; 3Bytedance Inc., Mountain View, CA, USA",
        "project": "",
        "github": "",
        "arxiv": "1908.06079",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Temporal Context Aggregation for Video Retrieval With Contrastive Learning",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Shao_Temporal_Context_Aggregation_for_Video_Retrieval_With_Contrastive_Learning_WACV_2021_paper.html",
        "author": "Jie Shao, Xin Wen, Bingchen Zhao, Xiangyang Xue",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Shao_Temporal_Context_Aggregation_for_Video_Retrieval_With_Contrastive_Learning_WACV_2021_paper.pdf",
        "aff": "Department of Computer Science and Technology, Tongji University, Shanghai, China; School of Computer Science, Fudan University, Shanghai, China",
        "project": "",
        "github": "",
        "arxiv": "2008.01334",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Temporal Shift GAN for Large Scale Video Generation",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Munoz_Temporal_Shift_GAN_for_Large_Scale_Video_Generation_WACV_2021_paper.html",
        "author": "Andres Munoz, Mohammadreza Zolfaghari, Max Argus, Thomas Brox",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Munoz_Temporal_Shift_GAN_for_Large_Scale_Video_Generation_WACV_2021_paper.pdf",
        "aff": "University of Freiburg",
        "project": "",
        "github": "",
        "arxiv": "2004.01823",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Temporal Stochastic Softmax for 3D CNNs: An Application in Facial Expression Recognition",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Ayral_Temporal_Stochastic_Softmax_for_3D_CNNs_An_Application_in_Facial_WACV_2021_paper.html",
        "author": "Theo Ayral, Marco Pedersoli, Simon Bacon, Eric Granger",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Ayral_Temporal_Stochastic_Softmax_for_3D_CNNs_An_Application_in_Facial_WACV_2021_paper.pdf",
        "aff": "LIVIA, Dept. of Systems Engineering, \u00c9cole de technologie sup\u00e9rieure, Montreal, Canada; Dept. of Health, Kinesiology & Applied Physiology, Concordia University, Montreal, Canada",
        "project": "",
        "github": "",
        "arxiv": "2011.05227",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Temporal-Aware Self-Supervised Learning for 3D Hand Pose and Mesh Estimation in Videos",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Chen_Temporal-Aware_Self-Supervised_Learning_for_3D_Hand_Pose_and_Mesh_Estimation_WACV_2021_paper.html",
        "author": "Liangjian Chen, Shih-Yao Lin, Yusheng Xie, Yen-Yu Lin, Xiaohui Xie",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Chen_Temporal-Aware_Self-Supervised_Learning_for_3D_Hand_Pose_and_Mesh_Estimation_WACV_2021_paper.pdf",
        "aff": "University of California, Irvine; National Chiao Tung University; Amazon; Tencent America",
        "project": "",
        "github": "",
        "arxiv": "2012.03205",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Temporally Consistent 3D Human Pose Estimation Using Dual 360deg Cameras",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Shere_Temporally_Consistent_3D_Human_Pose_Estimation_Using_Dual_360deg_Cameras_WACV_2021_paper.html",
        "author": "Matthew Shere, Hansung Kim, Adrian Hilton",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Shere_Temporally_Consistent_3D_Human_Pose_Estimation_Using_Dual_360deg_Cameras_WACV_2021_paper.pdf",
        "aff": "Centre for Vision, Speech and Signal Processing, University of Surrey, UK; Electronics and Computer Science, University of Southampton, UK",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Text-to-Image Generation Grounded by Fine-Grained User Attention",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Koh_Text-to-Image_Generation_Grounded_by_Fine-Grained_User_Attention_WACV_2021_paper.html",
        "author": "Jing Yu Koh, Jason Baldridge, Honglak Lee, Yinfei Yang",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Koh_Text-to-Image_Generation_Grounded_by_Fine-Grained_User_Attention_WACV_2021_paper.pdf",
        "aff": "Google Research",
        "project": "",
        "github": "",
        "arxiv": "2011.03775",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "The Devil Is in the Boundary: Exploiting Boundary Representation for Basis-Based Instance Segmentation",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Kim_The_Devil_Is_in_the_Boundary_Exploiting_Boundary_Representation_for_WACV_2021_paper.html",
        "author": "Myungchul Kim, Sanghyun Woo, Dahun Kim, In So Kweon",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Kim_The_Devil_Is_in_the_Boundary_Exploiting_Boundary_Representation_for_WACV_2021_paper.pdf",
        "aff": "KAIST",
        "project": "",
        "github": "",
        "arxiv": "2011.13241",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "The IKEA ASM Dataset: Understanding People Assembling Furniture Through Actions, Objects and Pose",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Ben-Shabat_The_IKEA_ASM_Dataset_Understanding_People_Assembling_Furniture_Through_Actions_WACV_2021_paper.html",
        "author": "Yizhak Ben-Shabat, Xin Yu, Fatemeh Saleh, Dylan Campbell, Cristian Rodriguez-Opazo, Hongdong Li, Stephen Gould",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Ben-Shabat_The_IKEA_ASM_Dataset_Understanding_People_Assembling_Furniture_Through_Actions_WACV_2021_paper.pdf",
        "aff": "University of Technology Sydney; Australian National University, Australian Centre for Robotic Vision (ACRV)",
        "project": "https://ikeaasm.github.io",
        "github": "https://github.com/ikeaasm",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "The Laughing Machine: Predicting Humor in Video",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Kayatani_The_Laughing_Machine_Predicting_Humor_in_Video_WACV_2021_paper.html",
        "author": "Yuta Kayatani, Zekun Yang, Mayu Otani, Noa Garcia, Chenhui Chu, Yuta Nakashima, Haruo Takemura",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Kayatani_The_Laughing_Machine_Predicting_Humor_in_Video_WACV_2021_paper.pdf",
        "aff": "Kyoto University; CyberAgent Inc.; Osaka University",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "The MECCANO Dataset: Understanding Human-Object Interactions From Egocentric Videos in an Industrial-Like Domain",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Ragusa_The_MECCANO_Dataset_Understanding_Human-Object_Interactions_From_Egocentric_Videos_in_WACV_2021_paper.html",
        "author": "Francesco Ragusa, Antonino Furnari, Salvatore Livatino, Giovanni Maria Farinella",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Ragusa_The_MECCANO_Dataset_Understanding_Human-Object_Interactions_From_Egocentric_Videos_in_WACV_2021_paper.pdf",
        "aff": "IPLAB, University of Catania; IPLAB, University of Catania, XGD-XENIA s.r.l., Acicastello, Catania, Italy; University of Hertfordshire",
        "project": "https://iplab.dmi.unict.it/MECCANO/",
        "github": "",
        "arxiv": "2010.05654",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "This Face Does Not Exist... But It Might Be Yours! Identity Leakage in Generative Models",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Tinsley_This_Face_Does_Not_Exist..._But_It_Might_Be_Yours_WACV_2021_paper.html",
        "author": "Patrick Tinsley, Adam Czajka, Patrick Flynn",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Tinsley_This_Face_Does_Not_Exist..._But_It_Might_Be_Yours_WACV_2021_paper.pdf",
        "aff": "University of Notre Dame",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Towards Contextual Learning in Few-Shot Object Classification",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Fortin_Towards_Contextual_Learning_in_Few-Shot_Object_Classification_WACV_2021_paper.html",
        "author": "Mathieu Page Fortin, Brahim Chaib-draa",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Fortin_Towards_Contextual_Learning_in_Few-Shot_Object_Classification_WACV_2021_paper.pdf",
        "aff": "Laval University, QC, CA",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Towards Enhancing Fine-Grained Details for Image Matting",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Liu_Towards_Enhancing_Fine-Grained_Details_for_Image_Matting_WACV_2021_paper.html",
        "author": "Chang Liu, Henghui Ding, Xudong Jiang",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Liu_Towards_Enhancing_Fine-Grained_Details_for_Image_Matting_WACV_2021_paper.pdf",
        "aff": "Nanyang Technological University, Singapore",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Towards Fair Cross-Domain Adaptation via Generative Learning",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Wang_Towards_Fair_Cross-Domain_Adaptation_via_Generative_Learning_WACV_2021_paper.html",
        "author": "Tongxin Wang, Zhengming Ding, Wei Shao, Haixu Tang, Kun Huang",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Wang_Towards_Fair_Cross-Domain_Adaptation_via_Generative_Learning_WACV_2021_paper.pdf",
        "aff": "Department of Computer Science, Indiana University Bloomington; Department of Medicine, IU School of Medicine and Regenstrief Institute; Department of Medicine, IU School of Medicine; Department of CIT, IUPUI",
        "project": "",
        "github": "",
        "arxiv": "2003.02366",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Towards Precise Intra-Camera Supervised Person Re-Identification",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Wang_Towards_Precise_Intra-Camera_Supervised_Person_Re-Identification_WACV_2021_paper.html",
        "author": "Menglin Wang, Baisheng Lai, Haokun Chen, Jianqiang Huang, Xiaojin Gong, Xian-Sheng Hua",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Wang_Towards_Precise_Intra-Camera_Supervised_Person_Re-Identification_WACV_2021_paper.pdf",
        "aff": "Zhejiang University, China; Damo Academy, Alibaba Group",
        "project": "",
        "github": "",
        "arxiv": "2002.04932",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Towards Resolving the Challenge of Long-Tail Distribution in UAV Images for Object Detection",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Yu_Towards_Resolving_the_Challenge_of_Long-Tail_Distribution_in_UAV_Images_WACV_2021_paper.html",
        "author": "Weiping Yu, Taojiannan Yang, Chen Chen",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Yu_Towards_Resolving_the_Challenge_of_Long-Tail_Distribution_in_UAV_Images_WACV_2021_paper.pdf",
        "aff": "University of North Carolina at Charlotte",
        "project": "",
        "github": "https://github.com/we1pingyu/DSHNet",
        "arxiv": "2011.03822",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Towards Visually Explaining Video Understanding Networks With Perturbation",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Li_Towards_Visually_Explaining_Video_Understanding_Networks_With_Perturbation_WACV_2021_paper.html",
        "author": "Zhenqiang Li, Weimin Wang, Zuoyue Li, Yifei Huang, Yoichi Sato",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Li_Towards_Visually_Explaining_Video_Understanding_Networks_With_Perturbation_WACV_2021_paper.pdf",
        "aff": "ETH Z\u00fcrich; Institute of Industrial Science, The University of Tokyo; National Institute of Advanced Industrial Science and Technology",
        "project": "",
        "github": "",
        "arxiv": "2005.00375",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Towards Zero-Shot Learning With Fewer Seen Class Examples",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Verma_Towards_Zero-Shot_Learning_With_Fewer_Seen_Class_Examples_WACV_2021_paper.html",
        "author": "Vinay Kumar Verma, Ashish Mishra, Anubha Pandey, Hema A. Murthy, Piyush Rai",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Verma_Towards_Zero-Shot_Learning_With_Fewer_Seen_Class_Examples_WACV_2021_paper.pdf",
        "aff": "Currently author is affiliated with MasterCard; Department of CSE, IIT Kanpur; Department of CSE, IIT Madras",
        "project": "",
        "github": "",
        "arxiv": "2011.07279",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "TracKlinic: Diagnosis of Challenge Factors in Visual Tracking",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Fan_TracKlinic_Diagnosis_of_Challenge_Factors_in_Visual_Tracking_WACV_2021_paper.html",
        "author": "Heng Fan, Fan Yang, Peng Chu, Yuewei Lin, Lin Yuan, Haibin Ling",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Fan_TracKlinic_Diagnosis_of_Challenge_Factors_in_Visual_Tracking_WACV_2021_paper.pdf",
        "aff": "Amazon Web Services, Palo Alto, CA USA; Computational Science Initiative, Brookhaven National Laboratory, Upton, NY, USA; Department of Computer Science, Stony Brook University, Stony Brook, NY, USA; Department of Computer and Information Sciences, Temple University, Philadelphia, PA USA",
        "project": "",
        "github": "https://hengfan2010.github.io/projects/TracKlinic/TracKlinic.htm",
        "arxiv": "1911.07959",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Transductive Visual Verb Sense Disambiguation",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Vascon_Transductive_Visual_Verb_Sense_Disambiguation_WACV_2021_paper.html",
        "author": "Sebastiano Vascon, Sinem Aslan, Gianluca Bigaglia, Lorenzo Giudice, Marcello Pelillo",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Vascon_Transductive_Visual_Verb_Sense_Disambiguation_WACV_2021_paper.pdf",
        "aff": "University of Venice, Ege University; University of Venice",
        "project": "",
        "github": "https://github.com/GiBg1aN/TVVSD",
        "arxiv": "2012.10821",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Transductive Zero-Shot Learning by Decoupled Feature Generation",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Marmoreo_Transductive_Zero-Shot_Learning_by_Decoupled_Feature_Generation_WACV_2021_paper.html",
        "author": "Federico Marmoreo, Jacopo Cavazza, Vittorio Murino",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Marmoreo_Transductive_Zero-Shot_Learning_by_Decoupled_Feature_Generation_WACV_2021_paper.pdf",
        "aff": "Pattern Analysis and Computer Vision, Istituto Italiano di Tecnologia, Italy; Universit`a degli Studi di Genova, Italy; Pattern Analysis and Computer Vision, Istituto Italiano di Tecnologia, Italy; Huawei Technologies Ltd., Ireland Research Center, Ireland; Department of Computer Science, University of Verona, Italy; Pattern Analysis and Computer Vision, Istituto Italiano di Tecnologia, Italy",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "TranstextNet: Transducing Text for Recognizing Unseen Visual Relationships",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Kenigsfield_TranstextNet_Transducing_Text_for_Recognizing_Unseen_Visual_Relationships_WACV_2021_paper.html",
        "author": "Gal S. Kenigsfield, Ran El-Yaniv",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Kenigsfield_TranstextNet_Transducing_Text_for_Recognizing_Unseen_Visual_Relationships_WACV_2021_paper.pdf",
        "aff": "sgalk87@campus.technion.ac.il; rani@cs.technion.ac.il",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Triangle-Net: Towards Robustness in Point Cloud Learning",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Xiao_Triangle-Net_Towards_Robustness_in_Point_Cloud_Learning_WACV_2021_paper.html",
        "author": "Chenxi Xiao, Juan Wachs",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Xiao_Triangle-Net_Towards_Robustness_in_Point_Cloud_Learning_WACV_2021_paper.pdf",
        "aff": "Purdue University",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "TrustMAE: A Noise-Resilient Defect Classification Framework Using Memory-Augmented Auto-Encoders With Trust Regions",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Tan_TrustMAE_A_Noise-Resilient_Defect_Classification_Framework_Using_Memory-Augmented_Auto-Encoders_With_WACV_2021_paper.html",
        "author": "Daniel Stanley Tan, Yi-Chun Chen, Trista Pei-Chun Chen, Wei-Chao Chen",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Tan_TrustMAE_A_Noise-Resilient_Defect_Classification_Framework_Using_Memory-Augmented_Auto-Encoders_With_WACV_2021_paper.pdf",
        "aff": "National Taiwan University of Science and Technology, Taiwan; Skywatch Innovation Inc., Taiwan; Inventec Corporation, Taiwan",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Two-Hand Global 3D Pose Estimation Using Monocular RGB",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Lin_Two-Hand_Global_3D_Pose_Estimation_Using_Monocular_RGB_WACV_2021_paper.html",
        "author": "Fanqing Lin, Connor Wilhelm, Tony Martinez",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Lin_Two-Hand_Global_3D_Pose_Estimation_Using_Monocular_RGB_WACV_2021_paper.pdf",
        "aff": "Department of Computer Science, Brigham Young University",
        "project": "",
        "github": "",
        "arxiv": "2006.01320",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Two-Level Adversarial Visual-Semantic Coupling for Generalized Zero-Shot Learning",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Chandhok_Two-Level_Adversarial_Visual-Semantic_Coupling_for_Generalized_Zero-Shot_Learning_WACV_2021_paper.html",
        "author": "Shivam Chandhok, Vineeth N Balasubramanian",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Chandhok_Two-Level_Adversarial_Visual-Semantic_Coupling_for_Generalized_Zero-Shot_Learning_WACV_2021_paper.pdf",
        "aff": "Indian Institute of Technology, Hyderabad, India",
        "project": "",
        "github": "",
        "arxiv": "2007.07757",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Understanding the Impact of Mistakes on Background Regions in Crowd Counting",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Modolo_Understanding_the_Impact_of_Mistakes_on_Background_Regions_in_Crowd_WACV_2021_paper.html",
        "author": "Davide Modolo, Bing Shuai, Rahul Rama Varior, Joseph Tighe",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Modolo_Understanding_the_Impact_of_Mistakes_on_Background_Regions_in_Crowd_WACV_2021_paper.pdf",
        "aff": "-; Amazon, AWS Rekognition",
        "project": "",
        "github": "",
        "arxiv": "2003.13759",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Unsupervised Attention Based Instance Discriminative Learning for Person Re-Identification",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Nikhal_Unsupervised_Attention_Based_Instance_Discriminative_Learning_for_Person_Re-Identification_WACV_2021_paper.html",
        "author": "Kshitij Nikhal, Benjamin S. Riggan",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Nikhal_Unsupervised_Attention_Based_Instance_Discriminative_Learning_for_Person_Re-Identification_WACV_2021_paper.pdf",
        "aff": "University of Nebraska-Lincoln",
        "project": "",
        "github": "",
        "arxiv": "2011.01888",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Unsupervised Domain Adaptation in Semantic Segmentation via Orthogonal and Clustered Embeddings",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Toldo_Unsupervised_Domain_Adaptation_in_Semantic_Segmentation_via_Orthogonal_and_Clustered_WACV_2021_paper.html",
        "author": "Marco Toldo, Umberto Michieli, Pietro Zanuttigh",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Toldo_Unsupervised_Domain_Adaptation_in_Semantic_Segmentation_via_Orthogonal_and_Clustered_WACV_2021_paper.pdf",
        "aff": "Department of Information Engineering, University of Padova",
        "project": "",
        "github": "",
        "arxiv": "2011.12616",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Unsupervised Meta-Domain Adaptation for Fashion Retrieval",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Sharma_Unsupervised_Meta-Domain_Adaptation_for_Fashion_Retrieval_WACV_2021_paper.html",
        "author": "Vivek Sharma, Naila Murray, Diane Larlus, Saquib Sarfraz, Rainer Stiefelhagen, Gabriela Csurka",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Sharma_Unsupervised_Meta-Domain_Adaptation_for_Fashion_Retrieval_WACV_2021_paper.pdf",
        "aff": "Karlsruhe Institute of Technology, Massachusetts Institute of Technology, Harvard Medical School; NA VER LABS Europe; Karlsruhe Institute of Technology",
        "project": "",
        "github": "https://github.com/vivoutlaw/UDMA",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Unsupervised Multi-Target Domain Adaptation Through Knowledge Distillation",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Le_Thanh_Nguyen-Meidine_Unsupervised_Multi-Target_Domain_Adaptation_Through_Knowledge_Distillation_WACV_2021_paper.html",
        "author": "Le Thanh Nguyen-Meidine, Atif Belal, Madhu Kiran, Jose Dolz, Louis-Antoine Blais-Morin, Eric Granger",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Le_Thanh_Nguyen-Meidine_Unsupervised_Multi-Target_Domain_Adaptation_Through_Knowledge_Distillation_WACV_2021_paper.pdf",
        "aff": "",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Unsupervised Multimodal Video-to-Video Translation via Self-Supervised Learning",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Liu_Unsupervised_Multimodal_Video-to-Video_Translation_via_Self-Supervised_Learning_WACV_2021_paper.html",
        "author": "Kangning Liu, Shuhang Gu, Andres Romero, Radu Timofte",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Liu_Unsupervised_Multimodal_Video-to-Video_Translation_via_Self-Supervised_Learning_WACV_2021_paper.pdf",
        "aff": "Center for Data Science, New York University, USA; Computer Vision Lab, ETH Zurich, Switzerland",
        "project": "",
        "github": "",
        "arxiv": "2004.06502",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Unsupervised Video Representation Learning by Bidirectional Feature Prediction",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Behrmann_Unsupervised_Video_Representation_Learning_by_Bidirectional_Feature_Prediction_WACV_2021_paper.html",
        "author": "Nadine Behrmann, Jurgen Gall, Mehdi Noroozi",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Behrmann_Unsupervised_Video_Representation_Learning_by_Bidirectional_Feature_Prediction_WACV_2021_paper.pdf",
        "aff": "Bosch Center for Arti\ufb01cial Intelligence; University of Bonn",
        "project": "",
        "github": "",
        "arxiv": "2011.06037",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Utilizing Every Image Object for Semi-Supervised Phrase Grounding",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Zhu_Utilizing_Every_Image_Object_for_Semi-Supervised_Phrase_Grounding_WACV_2021_paper.html",
        "author": "Haidong Zhu, Arka Sadhu, Zhaoheng Zheng, Ram Nevatia",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Zhu_Utilizing_Every_Image_Object_for_Semi-Supervised_Phrase_Grounding_WACV_2021_paper.pdf",
        "aff": "University of Southern California",
        "project": "",
        "github": "",
        "arxiv": "2011.02655",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Variational Prototype Inference for Few-Shot Semantic Segmentation",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Wang_Variational_Prototype_Inference_for_Few-Shot_Semantic_Segmentation_WACV_2021_paper.html",
        "author": "Haochen Wang, Yandan Yang, Xianbin Cao, Xiantong Zhen, Cees Snoek, Ling Shao",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Wang_Variational_Prototype_Inference_for_Few-Shot_Semantic_Segmentation_WACV_2021_paper.pdf",
        "aff": "University of Amsterdam, Amsterdam, Netherlands; Inception Institute of Arti\ufb01cial Intelligence, Abu Dhabi, UAE; School of Electronic and Information Engineering, Beihang University, Beijing, China; Key Laboratory of Advanced Technology of Near Space Information System, Ministry of Industry and Information Technology of China; Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, China; School of Electronic and Information Engineering, Beihang University, Beijing, China",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Vid2Int: Detecting Implicit Intention From Long Dialog Videos",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Xu_Vid2Int_Detecting_Implicit_Intention_From_Long_Dialog_Videos_WACV_2021_paper.html",
        "author": "Xiaoli Xu, Yao Lu, Zhiwu Lu, Tao Xiang",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Xu_Vid2Int_Detecting_Implicit_Intention_From_Long_Dialog_Videos_WACV_2021_paper.pdf",
        "aff": "Gaoling School of Arti\ufb01cial Intelligence, Renmin University of China and Beijing Key Laboratory of Big Data Management and Analysis Methods; University of Surrey, United Kingdom; Gaoling School of Arti\ufb01cial Intelligence, Renmin University of China",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Video Captioning of Future Frames",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Hosseinzadeh_Video_Captioning_of_Future_Frames_WACV_2021_paper.html",
        "author": "Mehrdad Hosseinzadeh, Yang Wang",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Hosseinzadeh_Video_Captioning_of_Future_Frames_WACV_2021_paper.pdf",
        "aff": "University of Manitoba; Huawei Technologies Canada",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "VideoSSL: Semi-Supervised Learning for Video Classification",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Jing_VideoSSL_Semi-Supervised_Learning_for_Video_Classification_WACV_2021_paper.html",
        "author": "Longlong Jing, Toufiq Parag, Zhe Wu, Yingli Tian, Hongcheng Wang",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Jing_VideoSSL_Semi-Supervised_Learning_for_Video_Classification_WACV_2021_paper.pdf",
        "aff": "The City University of New York; Comcast Applied AI Research",
        "project": "",
        "github": "",
        "arxiv": "2003.00197",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Viewpoint-Agnostic Image Rendering",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Aizawa_Viewpoint-Agnostic_Image_Rendering_WACV_2021_paper.html",
        "author": "Hiroaki Aizawa, Hirokatsu Kataoka, Yutaka Satoh, Kunihito Kato",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Aizawa_Viewpoint-Agnostic_Image_Rendering_WACV_2021_paper.pdf",
        "aff": "Gifu University; National Institute of Advanced Industrial Science and Technology (AIST)",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Visual Speech Enhancement Without a Real Visual Stream",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Hegde_Visual_Speech_Enhancement_Without_a_Real_Visual_Stream_WACV_2021_paper.html",
        "author": "Sindhu B. Hegde, K.R. Prajwal, Rudrabha Mukhopadhyay, Vinay P. Namboodiri, C.V. Jawahar",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Hegde_Visual_Speech_Enhancement_Without_a_Real_Visual_Stream_WACV_2021_paper.pdf",
        "aff": "IIIT Hyderabad; University of Bath",
        "project": "",
        "github": "",
        "arxiv": "2012.10852",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Visual Tracking of Deepwater Animals Using Machine Learning-Controlled Robotic Underwater Vehicles",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Katija_Visual_Tracking_of_Deepwater_Animals_Using_Machine_Learning-Controlled_Robotic_Underwater_WACV_2021_paper.html",
        "author": "Kakani Katija, Paul L. D. Roberts, Joost Daniels, Alexandra Lapides, Kevin Barnard, Mike Risi, Ben Y. Ranaan, Benjamin G. Woodward, Jonathan Takahashi",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Katija_Visual_Tracking_of_Deepwater_Animals_Using_Machine_Learning-Controlled_Robotic_Underwater_WACV_2021_paper.pdf",
        "aff": "CVision AI; Monterey Bay Aquarium Research Institute",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "WDNet: Watermark-Decomposition Network for Visible Watermark Removal",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Liu_WDNet_Watermark-Decomposition_Network_for_Visible_Watermark_Removal_WACV_2021_paper.html",
        "author": "Yang Liu, Zhen Zhu, Xiang Bai",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Liu_WDNet_Watermark-Decomposition_Network_for_Visible_Watermark_Removal_WACV_2021_paper.pdf",
        "aff": "Huazhong University of Science and Technology",
        "project": "",
        "github": "https://github.com/MRUIL/WDNet",
        "arxiv": "2012.07616",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "We Don't Need Thousand Proposals: Single Shot Actor-Action Detection in Videos",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Rana_We_Dont_Need_Thousand_Proposals_Single_Shot_Actor-Action_Detection_in_WACV_2021_paper.html",
        "author": "Aayush J. Rana, Yogesh S. Rawat",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Rana_We_Dont_Need_Thousand_Proposals_Single_Shot_Actor-Action_Detection_in_WACV_2021_paper.pdf",
        "aff": "Center for Research in Computer Vision, University of Central Florida, Orlando, FL, 32816",
        "project": "",
        "github": "https://github.com/aayushjr/ssa2d",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Weakly Supervised Deep Reinforcement Learning for Video Summarization With Semantically Meaningful Reward",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Li_Weakly_Supervised_Deep_Reinforcement_Learning_for_Video_Summarization_With_Semantically_WACV_2021_paper.html",
        "author": "Zutong Li, Lei Yang",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Li_Weakly_Supervised_Deep_Reinforcement_Learning_for_Video_Summarization_With_Semantically_WACV_2021_paper.pdf",
        "aff": "Weibo R&D Limited, USA",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Weakly Supervised Instance Segmentation by Deep Community Learning",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Hwang_Weakly_Supervised_Instance_Segmentation_by_Deep_Community_Learning_WACV_2021_paper.html",
        "author": "Jaedong Hwang, Seohyun Kim, Jeany Son, Bohyung Han",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Hwang_Weakly_Supervised_Instance_Segmentation_by_Deep_Community_Learning_WACV_2021_paper.pdf",
        "aff": "ECE & ASRI, Seoul National University, Seoul, Korea; ETRI, Daejeon, Korea",
        "project": "https://cv.snu.ac.kr/research/WSIS_CL",
        "github": "",
        "arxiv": "2001.11207",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Weakly-Supervised Object Representation Learning for Few-Shot Semantic Segmentation",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Ying_Weakly-Supervised_Object_Representation_Learning_for_Few-Shot_Semantic_Segmentation_WACV_2021_paper.html",
        "author": "Xiaowen Ying, Xin Li, Mooi Choo Chuah",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Ying_Weakly-Supervised_Object_Representation_Learning_for_Few-Shot_Semantic_Segmentation_WACV_2021_paper.pdf",
        "aff": "Lehigh University",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Where to Look?: Mining Complementary Image Regions for Weakly Supervised Object Localization",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Babar_Where_to_Look_Mining_Complementary_Image_Regions_for_Weakly_Supervised_WACV_2021_paper.html",
        "author": "Sadbhavana Babar, Sukhendu Das",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Babar_Where_to_Look_Mining_Complementary_Image_Regions_for_Weakly_Supervised_WACV_2021_paper.pdf",
        "aff": "Visualization and Perception Lab, Dept. of Computer Science and Engineering, IIT Madras, India",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Whose Hand Is This? Person Identification From Egocentric Hand Gestures",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Tsutsui_Whose_Hand_Is_This_Person_Identification_From_Egocentric_Hand_Gestures_WACV_2021_paper.html",
        "author": "Satoshi Tsutsui, Yanwei Fu, David J. Crandall",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Tsutsui_Whose_Hand_Is_This_Person_Identification_From_Egocentric_Hand_Gestures_WACV_2021_paper.pdf",
        "aff": "Fudan University, Shanghai, China; Indiana University, Bloomington, IN, USA",
        "project": "",
        "github": "",
        "arxiv": "2011.08900",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Zero-Pair Image to Image Translation Using Domain Conditional Normalization",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Shukla_Zero-Pair_Image_to_Image_Translation_Using_Domain_Conditional_Normalization_WACV_2021_paper.html",
        "author": "Samarth Shukla, Andres Romero, Luc Van Gool, Radu Timofte",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Shukla_Zero-Pair_Image_to_Image_Translation_Using_Domain_Conditional_Normalization_WACV_2021_paper.pdf",
        "aff": "Computer Vision Lab, ETH Z\u00fcrich; KU Leuven; Computer Vision Lab, ETH Z\u00fcrich",
        "project": "",
        "github": "https://github.com/samarthshukla/dcn",
        "arxiv": "2011.05680",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "Zero-Shot Recognition via Optimal Transport",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Wang_Zero-Shot_Recognition_via_Optimal_Transport_WACV_2021_paper.html",
        "author": "Wenlin Wang, Hongteng Xu, Guoyin Wang, Wenqi Wang, Lawrence Carin",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Wang_Zero-Shot_Recognition_via_Optimal_Transport_WACV_2021_paper.pdf",
        "aff": "Facebook; Renmin University of China; Duke University; Amazon Alexa AI",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    },
    {
        "title": "maskedFaceNet: A Progressive Semi-Supervised Masked Face Detector",
        "site": "https://openaccess.thecvf.com/content/WACV2021/html/Prasad_maskedFaceNet_A_Progressive_Semi-Supervised_Masked_Face_Detector_WACV_2021_paper.html",
        "author": "Shitala Prasad, Yiqun Li, Dongyun Lin, Dong Sheng",
        "pdf": "https://openaccess.thecvf.com/content/WACV2021/papers/Prasad_maskedFaceNet_A_Progressive_Semi-Supervised_Masked_Face_Detector_WACV_2021_paper.pdf",
        "aff": "Visual Intelligence, Institute for Infocomm Research (I2R), A*STAR, Singapore",
        "project": "",
        "github": "",
        "arxiv": "",
        "track": "main",
        "status": "Poster"
    }
]