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0 | Deformable Spatial Pyramid Matching for Fast Dense Correspondences | [
"Jaechul Kim",
"Ce Liu",
"Fei Sha",
"Kristen Grauman"
] | https://openaccess.thecvf.com/content_cvpr_2013/html/Kim_Deformable_Spatial_Pyramid_2013_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2013/papers/Kim_Deformable_Spatial_Pyramid_2013_CVPR_paper.pdf | null | null | null | @InProceedings{Kim_2013_ICCV_Workshops,author = {Kim, Jaechul and Liu, Ce and Sha, Fei and Grauman, Kristen},title = {Deformable Spatial Pyramid Matching for Fast Dense Correspondences},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | We introduce a fast deformable spatial pyramid (DSP) matching algorithm for computing dense pixel correspondences. Dense matching methods typically enforce both appearance agreement between matched pixels as well as geometric smoothness between neighboring pixels. Whereas the prevailing approaches operate at the pixel ... | [
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1 | A Genetic Algorithm-Based Solver for Very Large Jigsaw Puzzles | [
"Dror Sholomon",
"Omid David",
"Nathan S. Netanyahu"
] | https://openaccess.thecvf.com/content_cvpr_2013/html/Sholomon_A_Genetic_Algorithm-Based_2013_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2013/papers/Sholomon_A_Genetic_Algorithm-Based_2013_CVPR_paper.pdf | null | 1711.06769 | title_snapshot | @InProceedings{Sholomon_2013_ICCV_Workshops,author = {Sholomon, Dror and David, Omid and Netanyahu, Nathan S.},title = {A Genetic Algorithm-Based Solver for Very Large Jigsaw Puzzles},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | In this paper we propose the first effective automated, genetic algorithm (GA)-based jigsaw puzzle solver. We introduce a novel procedure of merging two "parent" solutions to an improved "child" solution by detecting, extracting, and combining correctly assembled puzzle segments. The solver proposed exhibits state-of-t... | [
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2 | Exploring Compositional High Order Pattern Potentials for Structured Output Learning | [
"Yujia Li",
"Daniel Tarlow",
"Richard Zemel"
] | https://openaccess.thecvf.com/content_cvpr_2013/html/Li_Exploring_Compositional_High_2013_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2013/papers/Li_Exploring_Compositional_High_2013_CVPR_paper.pdf | null | null | null | @InProceedings{Li_2013_ICCV_Workshops,author = {Li, Yujia and Tarlow, Daniel and Zemel, Richard},title = {Exploring Compositional High Order Pattern Potentials for Structured Output Learning},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | When modeling structured outputs such as image segmentations, prediction can be improved by accurately modeling structure present in the labels. A key challenge is developing tractable models that are able to capture complex high level structure like shape. In this work, we study the learning of a general class of patt... | [
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3 | Hyperbolic Harmonic Mapping for Constrained Brain Surface Registration | [
"Rui Shi",
"Wei Zeng",
"Zhengyu Su",
"Hanna Damasio",
"Zhonglin Lu",
"Yalin Wang",
"Shing-Tung Yau",
"Xianfeng Gu"
] | https://openaccess.thecvf.com/content_cvpr_2013/html/Shi_Hyperbolic_Harmonic_Mapping_2013_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2013/papers/Shi_Hyperbolic_Harmonic_Mapping_2013_CVPR_paper.pdf | null | null | null | @InProceedings{Shi_2013_ICCV_Workshops,author = {Shi, Rui and Zeng, Wei and Su, Zhengyu and Damasio, Hanna and Lu, Zhonglin and Wang, Yalin and Yau, Shing-Tung and Gu, Xianfeng},title = {Hyperbolic Harmonic Mapping for Constrained Brain Surface Registration},booktitle = {Proceedings of the IEEE Conference on Computer V... | Automatic computation of surface correspondence via harmonic map is an active research field in computer vision, computer graphics and computational geometry. It may help document and understand physical and biological phenomena and also has broad applications in biometrics, medical imaging and motion capture. Although... | [
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4 | Dense Variational Reconstruction of Non-rigid Surfaces from Monocular Video | [
"Ravi Garg",
"Anastasios Roussos",
"Lourdes Agapito"
] | https://openaccess.thecvf.com/content_cvpr_2013/html/Garg_Dense_Variational_Reconstruction_2013_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2013/papers/Garg_Dense_Variational_Reconstruction_2013_CVPR_paper.pdf | null | null | null | @InProceedings{Garg_2013_ICCV_Workshops,author = {Garg, Ravi and Roussos, Anastasios and Agapito, Lourdes},title = {Dense Variational Reconstruction of Non-rigid Surfaces from Monocular Video},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}... | This paper offers the first variational approach to the problem of dense 3D reconstruction of non-rigid surfaces from a monocular video sequence. We formulate nonrigid structure from motion ( NRS f M ) as a global variational energy minimization problem to estimate dense low-rank smooth 3D shapes for every frame along ... | [
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5 | Fusing Depth from Defocus and Stereo with Coded Apertures | [
"Yuichi Takeda",
"Shinsaku Hiura",
"Kosuke Sato"
] | https://openaccess.thecvf.com/content_cvpr_2013/html/Takeda_Fusing_Depth_from_2013_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2013/papers/Takeda_Fusing_Depth_from_2013_CVPR_paper.pdf | null | null | null | @InProceedings{Takeda_2013_ICCV_Workshops,author = {Takeda, Yuichi and Hiura, Shinsaku and Sato, Kosuke},title = {Fusing Depth from Defocus and Stereo with Coded Apertures},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | In this paper we propose a novel depth measurement method by fusing depth from defocus (DFD) and stereo. One of the problems of passive stereo method is the difficulty of finding correct correspondence between images when an object has a repetitive pattern or edges parallel to the epipolar line. On the other hand, the ... | [
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6 | A Non-parametric Framework for Document Bleed-through Removal | [
"Roisin Rowley-Brooke",
"Francois Pitie",
"Anil Kokaram"
] | https://openaccess.thecvf.com/content_cvpr_2013/html/Rowley-Brooke_A_Non-parametric_Framework_2013_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2013/papers/Rowley-Brooke_A_Non-parametric_Framework_2013_CVPR_paper.pdf | null | null | null | @InProceedings{Rowley-Brooke_2013_ICCV_Workshops,author = {Rowley-Brooke, Roisin and Pitie, Francois and Kokaram, Anil},title = {A Non-parametric Framework for Document Bleed-through Removal},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | This paper presents recent work on a new framework for non-blind document bleed-through removal. The framework includes image preprocessing to remove local intensity variations, pixel region classification based on a segmentation of the joint recto-verso intensity histogram and connected component analysis on the subse... | [
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7 | A Comparative Study of Modern Inference Techniques for Discrete Energy Minimization Problems | [
"J. Kappes",
"B. Andres",
"F. Hamprecht",
"C. Schnorr",
"S. Nowozin",
"D. Batra",
"S. Kim",
"B. Kausler",
"J. Lellmann",
"N. Komodakis",
"C. Rother"
] | https://openaccess.thecvf.com/content_cvpr_2013/html/Kappes_A_Comparative_Study_2013_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2013/papers/Kappes_A_Comparative_Study_2013_CVPR_paper.pdf | null | null | null | @InProceedings{Kappes_2013_ICCV_Workshops,author = {Kappes, J. and Andres, B. and Hamprecht, F. and Schnorr, C. and Nowozin, S. and Batra, D. and Kim, S. and Kausler, B. and Lellmann, J. and Komodakis, N. and Rother, C.},title = {A Comparative Study of Modern Inference Techniques for Discrete Energy Minimization Proble... | Seven years ago, Szeliski et al. published an influential study on energy minimization methods for Markov random fields (MRF). This study provided valuable insights in choosing the best optimization technique for certain classes of problems. While these insights remain generally useful today, the phenominal success of ... | [
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8 | Submodular Salient Region Detection | [
"Zhuolin Jiang",
"Larry S. Davis"
] | https://openaccess.thecvf.com/content_cvpr_2013/html/Jiang_Submodular_Salient_Region_2013_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2013/papers/Jiang_Submodular_Salient_Region_2013_CVPR_paper.pdf | null | null | null | @InProceedings{Jiang_2013_ICCV_Workshops,author = {Jiang, Zhuolin and Davis, Larry S.},title = {Submodular Salient Region Detection},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | The problem of salient region detection is formulated as the well-studied facility location problem from operations research. High-level priors are combined with low-level features to detect salient regions. Salient region detection is achieved by maximizing a submodular objective function, which maximizes the total si... | [
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9 | Spatio-temporal Depth Cuboid Similarity Feature for Activity Recognition Using Depth Camera | [
"Lu Xia",
"J.K. Aggarwal"
] | https://openaccess.thecvf.com/content_cvpr_2013/html/Xia_Spatio-temporal_Depth_Cuboid_2013_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2013/papers/Xia_Spatio-temporal_Depth_Cuboid_2013_CVPR_paper.pdf | null | null | null | @InProceedings{Xia_2013_ICCV_Workshops,author = {Xia, Lu and Aggarwal, J.K.},title = {Spatio-temporal Depth Cuboid Similarity Feature for Activity Recognition Using Depth Camera},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | Local spatio-temporal interest points (STIPs) and the resulting features from RGB videos have been proven successful at activity recognition that can handle cluttered backgrounds and partial occlusions. In this paper, we propose its counterpart in depth video and show its efficacy on activity recognition. We present a ... | [
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10 | Bringing Semantics into Focus Using Visual Abstraction | [
"C. L. Zitnick",
"Devi Parikh"
] | https://openaccess.thecvf.com/content_cvpr_2013/html/Zitnick_Bringing_Semantics_into_2013_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2013/papers/Zitnick_Bringing_Semantics_into_2013_CVPR_paper.pdf | null | null | null | @InProceedings{Zitnick_2013_ICCV_Workshops,author = {Zitnick, C. L. and Parikh, Devi},title = {Bringing Semantics into Focus Using Visual Abstraction},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | Relating visual information to its linguistic semantic meaning remains an open and challenging area of research. The semantic meaning of images depends on the presence of objects, their attributes and their relations to other objects. But precisely characterizing this dependence requires extracting complex visual infor... | [
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11 | Fast Multiple-Part Based Object Detection Using KD-Ferns | [
"Dan Levi",
"Shai Silberstein",
"Aharon Bar-Hillel"
] | https://openaccess.thecvf.com/content_cvpr_2013/html/Levi_Fast_Multiple-Part_Based_2013_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2013/papers/Levi_Fast_Multiple-Part_Based_2013_CVPR_paper.pdf | null | null | null | @InProceedings{Levi_2013_ICCV_Workshops,author = {Levi, Dan and Silberstein, Shai and Bar-Hillel, Aharon},title = {Fast Multiple-Part Based Object Detection Using KD-Ferns},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | In this work we present a new part-based object detection algorithm with hundreds of parts performing realtime detection. Part-based models are currently state-ofthe-art for object detection due to their ability to represent large appearance variations. However, due to their high computational demands such methods are ... | [
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12 | Computing Diffeomorphic Paths for Large Motion Interpolation | [
"Dohyung Seo",
"Jeffrey Ho",
"Baba C. Vemuri"
] | https://openaccess.thecvf.com/content_cvpr_2013/html/Seo_Computing_Diffeomorphic_Paths_2013_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2013/papers/Seo_Computing_Diffeomorphic_Paths_2013_CVPR_paper.pdf | null | null | null | @InProceedings{Seo_2013_ICCV_Workshops,author = {Seo, Dohyung and Ho, Jeffrey and Vemuri, Baba C.},title = {Computing Diffeomorphic Paths for Large Motion Interpolation},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | In this paper, we introduce a novel framework for computing a path of diffeomorphisms between a pair of input diffeomorphisms. Direct computation of a geodesic path on the space of diffeomorphisms Diff(?) is difficult, and it can be attributed mainly to the infinite dimensionality of Diff(?). Our proposed framework, to... | [
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13 | Wide-Baseline Hair Capture Using Strand-Based Refinement | [
"Linjie Luo",
"Cha Zhang",
"Zhengyou Zhang",
"Szymon Rusinkiewicz"
] | https://openaccess.thecvf.com/content_cvpr_2013/html/Luo_Wide-Baseline_Hair_Capture_2013_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2013/papers/Luo_Wide-Baseline_Hair_Capture_2013_CVPR_paper.pdf | null | null | null | @InProceedings{Luo_2013_ICCV_Workshops,author = {Luo, Linjie and Zhang, Cha and Zhang, Zhengyou and Rusinkiewicz, Szymon},title = {Wide-Baseline Hair Capture Using Strand-Based Refinement},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | We propose a novel algorithm to reconstruct the 3D geometry of human hairs in wide-baseline setups using strand-based refinement. The hair strands are first extracted in each 2D view, and projected onto the 3D visual hull for initialization. The 3D positions of these strands are then refined by optimizing an objective ... | [
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14 | Radial Distortion Self-Calibration | [
"Jose Henrique Brito",
"Roland Angst",
"Kevin Koser",
"Marc Pollefeys"
] | https://openaccess.thecvf.com/content_cvpr_2013/html/Brito_Radial_Distortion_Self-Calibration_2013_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2013/papers/Brito_Radial_Distortion_Self-Calibration_2013_CVPR_paper.pdf | null | null | null | @InProceedings{Brito_2013_ICCV_Workshops,author = {Henrique Brito, Jose and Angst, Roland and Koser, Kevin and Pollefeys, Marc},title = {Radial Distortion Self-Calibration},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | In cameras with radial distortion, straight lines in space are in general mapped to curves in the image. Although epipolar geometry also gets distorted, there is a set of special epipolar lines that remain straight, namely those that go through the distortion center. By finding these straight epipolar lines in camera p... | [
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15 | Separating Signal from Noise Using Patch Recurrence across Scales | [
"Maria Zontak",
"Inbar Mosseri",
"Michal Irani"
] | https://openaccess.thecvf.com/content_cvpr_2013/html/Zontak_Separating_Signal_from_2013_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2013/papers/Zontak_Separating_Signal_from_2013_CVPR_paper.pdf | null | null | null | @InProceedings{Zontak_2013_ICCV_Workshops,author = {Zontak, Maria and Mosseri, Inbar and Irani, Michal},title = {Separating Signal from Noise Using Patch Recurrence across Scales},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | Recurrence of small clean image patches across different scales of a natural image has been successfully used for solving ill-posed problems in clean images (e.g., superresolution from a single image). In this paper we show how this multi-scale property can be extended to solve ill-posed problems under noisy conditions... | [
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16 | Detection Evolution with Multi-order Contextual Co-occurrence | [
"Guang Chen",
"Yuanyuan Ding",
"Jing Xiao",
"Tony X. Han"
] | https://openaccess.thecvf.com/content_cvpr_2013/html/Chen_Detection_Evolution_with_2013_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2013/papers/Chen_Detection_Evolution_with_2013_CVPR_paper.pdf | null | null | null | @InProceedings{Chen_2013_ICCV_Workshops,author = {Chen, Guang and Ding, Yuanyuan and Xiao, Jing and Han, Tony X.},title = {Detection Evolution with Multi-order Contextual Co-occurrence},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | Context has been playing an increasingly important role to improve the object detection performance. In this paper we propose an effective representation, Multi-Order Contextual co-Occurrence (MOCO), to implicitly model the high level context using solely detection responses from a baseline object detector. The so-call... | [
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17 | Manhattan Scene Understanding via XSlit Imaging | [
"Jinwei Ye",
"Yu Ji",
"Jingyi Yu"
] | https://openaccess.thecvf.com/content_cvpr_2013/html/Ye_Manhattan_Scene_Understanding_2013_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2013/papers/Ye_Manhattan_Scene_Understanding_2013_CVPR_paper.pdf | null | null | null | @InProceedings{Ye_2013_ICCV_Workshops,author = {Ye, Jinwei and Ji, Yu and Yu, Jingyi},title = {Manhattan Scene Understanding via XSlit Imaging},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | A Manhattan World (MW) [3] is composed of planar surfaces and parallel lines aligned with three mutually orthogonal principal axes. Traditional MW understanding algorithms rely on geometry priors such as the vanishing points and reference (ground) planes for grouping coplanar structures. In this paper, we present a nov... | [
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18 | Cumulative Attribute Space for Age and Crowd Density Estimation | [
"Ke Chen",
"Shaogang Gong",
"Tao Xiang",
"Chen Change Loy"
] | https://openaccess.thecvf.com/content_cvpr_2013/html/Chen_Cumulative_Attribute_Space_2013_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2013/papers/Chen_Cumulative_Attribute_Space_2013_CVPR_paper.pdf | null | null | null | @InProceedings{Chen_2013_ICCV_Workshops,author = {Chen, Ke and Gong, Shaogang and Xiang, Tao and Change Loy, Chen},title = {Cumulative Attribute Space for Age and Crowd Density Estimation},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | A number of computer vision problems such as human age estimation, crowd density estimation and body/face pose (view angle) estimation can be formulated as a regression problem by learning a mapping function between a high dimensional vector-formed feature input and a scalarvalued output. Such a learning problem is mad... | [
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19 | Tensor-Based High-Order Semantic Relation Transfer for Semantic Scene Segmentation | [
"Heesoo Myeong",
"Kyoung Mu Lee"
] | https://openaccess.thecvf.com/content_cvpr_2013/html/Myeong_Tensor-Based_High-Order_Semantic_2013_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2013/papers/Myeong_Tensor-Based_High-Order_Semantic_2013_CVPR_paper.pdf | null | null | null | @InProceedings{Myeong_2013_ICCV_Workshops,author = {Myeong, Heesoo and Mu Lee, Kyoung},title = {Tensor-Based High-Order Semantic Relation Transfer for Semantic Scene Segmentation},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | We propose a novel nonparametric approach for semantic segmentation using high-order semantic relations. Conventional context models mainly focus on learning pairwise relationships between objects. Pairwise relations, however, are not enough to represent high-level contextual knowledge within images. In this paper, we ... | [
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20 | Accurate and Robust Registration of Nonrigid Surface Using Hierarchical Statistical Shape Model | [
"Hidekata Hontani",
"Yuto Tsunekawa",
"Yoshihide Sawada"
] | https://openaccess.thecvf.com/content_cvpr_2013/html/Hontani_Accurate_and_Robust_2013_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2013/papers/Hontani_Accurate_and_Robust_2013_CVPR_paper.pdf | null | null | null | @InProceedings{Hontani_2013_ICCV_Workshops,author = {Hontani, Hidekata and Tsunekawa, Yuto and Sawada, Yoshihide},title = {Accurate and Robust Registration of Nonrigid Surface Using Hierarchical Statistical Shape Model},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},m... | In this paper, we propose a new non-rigid robust registration method that registers a point distribution model (PDM) of a surface to given 3D images. The contributions of the paper are (1) a new hierarchical statistical shape model (SSM) of the surface that has better generalization ability is introduced, (2) the regis... | [
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21 | POOF: Part-Based One-vs.-One Features for Fine-Grained Categorization, Face Verification, and Attribute Estimation | [
"Thomas Berg",
"Peter N. Belhumeur"
] | https://openaccess.thecvf.com/content_cvpr_2013/html/Berg_POOF_Part-Based_One-vs.-One_2013_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2013/papers/Berg_POOF_Part-Based_One-vs.-One_2013_CVPR_paper.pdf | null | null | null | @InProceedings{Berg_2013_ICCV_Workshops,author = {Berg, Thomas and Belhumeur, Peter N.},title = {POOF: Part-Based One-vs.-One Features for Fine-Grained Categorization, Face Verification, and Attribute Estimation},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = ... | From a set of images in a particular domain, labeled with part locations and class, we present a method to automatically learn a large and diverse set of highly discriminative intermediate features that we call Part-based One-vs-One Features (POOFs). Each of these features specializes in discrimination between two part... | [
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22 | Sparse Quantization for Patch Description | [
"Xavier Boix",
"Michael Gygli",
"Gemma Roig",
"Luc Van Gool"
] | https://openaccess.thecvf.com/content_cvpr_2013/html/Boix_Sparse_Quantization_for_2013_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2013/papers/Boix_Sparse_Quantization_for_2013_CVPR_paper.pdf | null | null | null | @InProceedings{Boix_2013_ICCV_Workshops,author = {Boix, Xavier and Gygli, Michael and Roig, Gemma and Van Gool, Luc},title = {Sparse Quantization for Patch Description},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | The representation of local image patches is crucial for the good performance and efficiency of many vision tasks. Patch descriptors have been designed to generalize towards diverse variations, depending on the application, as well as the desired compromise between accuracy and efficiency. We present a novel formulatio... | [
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23 | What's in a Name? First Names as Facial Attributes | [
"Huizhong Chen",
"Andrew C. Gallagher",
"Bernd Girod"
] | https://openaccess.thecvf.com/content_cvpr_2013/html/Chen_Whats_in_a_2013_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2013/papers/Chen_Whats_in_a_2013_CVPR_paper.pdf | null | null | null | @InProceedings{Chen_2013_ICCV_Workshops,author = {Chen, Huizhong and Gallagher, Andrew C. and Girod, Bernd},title = {What's in a Name? First Names as Facial Attributes},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | This paper introduces a new idea in describing people using their first names, i.e., the name assigned at birth. We show that describing people in terms of similarity to a vector of possible first names is a powerful description of facial appearance that can be used for face naming and building facial attribute classif... | [
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24 | Context-Aware Modeling and Recognition of Activities in Video | [
"Yingying Zhu",
"Nandita M. Nayak",
"Amit K. Roy-Chowdhury"
] | https://openaccess.thecvf.com/content_cvpr_2013/html/Zhu_Context-Aware_Modeling_and_2013_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2013/papers/Zhu_Context-Aware_Modeling_and_2013_CVPR_paper.pdf | null | null | null | @InProceedings{Zhu_2013_ICCV_Workshops,author = {Zhu, Yingying and Nayak, Nandita M. and Roy-Chowdhury, Amit K.},title = {Context-Aware Modeling and Recognition of Activities in Video},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | In this paper, rather than modeling activities in videos individually, we propose a hierarchical framework that jointly models and recognizes related activities using motion and various context features. This is motivated from the observations that the activities related in space and time rarely occur independently and... | [
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25 | Learning to Detect Partially Overlapping Instances | [
"Carlos Arteta",
"Victor Lempitsky",
"J. A. Noble",
"Andrew Zisserman"
] | https://openaccess.thecvf.com/content_cvpr_2013/html/Arteta_Learning_to_Detect_2013_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2013/papers/Arteta_Learning_to_Detect_2013_CVPR_paper.pdf | null | null | null | @InProceedings{Arteta_2013_ICCV_Workshops,author = {Arteta, Carlos and Lempitsky, Victor and Noble, J. A. and Zisserman, Andrew},title = {Learning to Detect Partially Overlapping Instances},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | The objective of this work is to detect all instances of a class (such as cells or people) in an image. The instances may be partially overlapping and clustered, and hence quite challenging for traditional detectors, which aim at localizing individual instances. Our approach is to propose a set of candidate regions, an... | [
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26 | Exemplar-Based Face Parsing | [
"Brandon M. Smith",
"Li Zhang",
"Jonathan Brandt",
"Zhe Lin",
"Jianchao Yang"
] | https://openaccess.thecvf.com/content_cvpr_2013/html/Smith_Exemplar-Based_Face_Parsing_2013_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2013/papers/Smith_Exemplar-Based_Face_Parsing_2013_CVPR_paper.pdf | null | null | null | @InProceedings{Smith_2013_ICCV_Workshops,author = {Smith, Brandon M. and Zhang, Li and Brandt, Jonathan and Lin, Zhe and Yang, Jianchao},title = {Exemplar-Based Face Parsing},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | In this work, we propose an exemplar-based face image segmentation algorithm. We take inspiration from previous works on image parsing for general scenes. Our approach assumes a database of exemplar face images, each of which is associated with a hand-labeled segmentation map. Given a test image, our algorithm first se... | [
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27 | Multipath Sparse Coding Using Hierarchical Matching Pursuit | [
"Liefeng Bo",
"Xiaofeng Ren",
"Dieter Fox"
] | https://openaccess.thecvf.com/content_cvpr_2013/html/Bo_Multipath_Sparse_Coding_2013_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2013/papers/Bo_Multipath_Sparse_Coding_2013_CVPR_paper.pdf | null | null | null | @InProceedings{Bo_2013_ICCV_Workshops,author = {Bo, Liefeng and Ren, Xiaofeng and Fox, Dieter},title = {Multipath Sparse Coding Using Hierarchical Matching Pursuit},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | Complex real-world signals, such as images, contain discriminative structures that differ in many aspects including scale, invariance, and data channel. While progress in deep learning shows the importance of learning features through multiple layers, it is equally important to learn features through multiple paths. We... | [
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28 | Visual Tracking via Locality Sensitive Histograms | [
"Shengfeng He",
"Qingxiong Yang",
"Rynson W.H. Lau",
"Jiang Wang",
"Ming-Hsuan Yang"
] | https://openaccess.thecvf.com/content_cvpr_2013/html/He_Visual_Tracking_via_2013_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2013/papers/He_Visual_Tracking_via_2013_CVPR_paper.pdf | null | null | null | @InProceedings{He_2013_ICCV_Workshops,author = {He, Shengfeng and Yang, Qingxiong and Lau, Rynson W.H. and Wang, Jiang and Yang, Ming-Hsuan},title = {Visual Tracking via Locality Sensitive Histograms},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year ... | This paper presents a novel locality sensitive histogram algorithm for visual tracking. Unlike the conventional image histogram that counts the frequency of occurrences of each intensity value by adding ones to the corresponding bin, a locality sensitive histogram is computed at each pixel location and a floating-point... | [
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29 | Optimized Product Quantization for Approximate Nearest Neighbor Search | [
"Tiezheng Ge",
"Kaiming He",
"Qifa Ke",
"Jian Sun"
] | https://openaccess.thecvf.com/content_cvpr_2013/html/Ge_Optimized_Product_Quantization_2013_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2013/papers/Ge_Optimized_Product_Quantization_2013_CVPR_paper.pdf | null | null | null | @InProceedings{Ge_2013_ICCV_Workshops,author = {Ge, Tiezheng and He, Kaiming and Ke, Qifa and Sun, Jian},title = {Optimized Product Quantization for Approximate Nearest Neighbor Search},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | Product quantization is an effective vector quantization approach to compactly encode high-dimensional vectors for fast approximate nearest neighbor (ANN) search. The essence of product quantization is to decompose the original high-dimensional space into the Cartesian product of a finite number of low-dimensional subs... | [
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30 | Tracking People and Their Objects | [
"Tobias Baumgartner",
"Dennis Mitzel",
"Bastian Leibe"
] | https://openaccess.thecvf.com/content_cvpr_2013/html/Baumgartner_Tracking_People_and_2013_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2013/papers/Baumgartner_Tracking_People_and_2013_CVPR_paper.pdf | null | null | null | @InProceedings{Baumgartner_2013_ICCV_Workshops,author = {Baumgartner, Tobias and Mitzel, Dennis and Leibe, Bastian},title = {Tracking People and Their Objects},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | Current pedestrian tracking approaches ignore important aspects of human behavior. Humans are not moving independently, but they closely interact with their environment, which includes not only other persons, but also different scene objects. Typical everyday scenarios include people moving in groups, pushing child str... | [
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31 | Multi-target Tracking by Lagrangian Relaxation to Min-cost Network Flow | [
"Asad A. Butt",
"Robert T. Collins"
] | https://openaccess.thecvf.com/content_cvpr_2013/html/Butt_Multi-target_Tracking_by_2013_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2013/papers/Butt_Multi-target_Tracking_by_2013_CVPR_paper.pdf | null | null | null | @InProceedings{Butt_2013_ICCV_Workshops,author = {Butt, Asad A. and Collins, Robert T.},title = {Multi-target Tracking by Lagrangian Relaxation to Min-cost Network Flow},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | We propose a method for global multi-target tracking that can incorporate higher-order track smoothness constraints such as constant velocity. Our problem formulation readily lends itself to path estimation in a trellis graph, but unlike previous methods, each node in our network represents a candidate pair of matching... | [
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32 | In Defense of 3D-Label Stereo | [
"Carl Olsson",
"Johannes Ulen",
"Yuri Boykov"
] | https://openaccess.thecvf.com/content_cvpr_2013/html/Olsson_In_Defense_of_2013_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2013/papers/Olsson_In_Defense_of_2013_CVPR_paper.pdf | null | null | null | @InProceedings{Olsson_2013_ICCV_Workshops,author = {Olsson, Carl and Ulen, Johannes and Boykov, Yuri},title = {In Defense of 3D-Label Stereo},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | It is commonly believed that higher order smoothness should be modeled using higher order interactions. For example, 2nd order derivatives for deformable (active) contours are represented by triple cliques. Similarly, the 2nd order regularization methods in stereo predominantly use MRF models with scalar (1D) disparity... | [
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33 | Compressible Motion Fields | [
"Giuseppe Ottaviano",
"Pushmeet Kohli"
] | https://openaccess.thecvf.com/content_cvpr_2013/html/Ottaviano_Compressible_Motion_Fields_2013_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2013/papers/Ottaviano_Compressible_Motion_Fields_2013_CVPR_paper.pdf | null | null | null | @InProceedings{Ottaviano_2013_ICCV_Workshops,author = {Ottaviano, Giuseppe and Kohli, Pushmeet},title = {Compressible Motion Fields},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | Traditional video compression methods obtain a compact representation for image frames by computing coarse motion fields defined on patches of pixels called blocks, in order to compensate for the motion in the scene across frames. This piecewise constant approximation makes the motion field efficiently encodable, but i... | [
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34 | Dense Object Reconstruction with Semantic Priors | [
"Sid Yingze Bao",
"Manmohan Chandraker",
"Yuanqing Lin",
"Silvio Savarese"
] | https://openaccess.thecvf.com/content_cvpr_2013/html/Bao_Dense_Object_Reconstruction_2013_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2013/papers/Bao_Dense_Object_Reconstruction_2013_CVPR_paper.pdf | null | null | null | @InProceedings{Bao_2013_ICCV_Workshops,author = {Yingze Bao, Sid and Chandraker, Manmohan and Lin, Yuanqing and Savarese, Silvio},title = {Dense Object Reconstruction with Semantic Priors},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | We present a dense reconstruction approach that overcomes the drawbacks of traditional multiview stereo by incorporating semantic information in the form of learned category-level shape priors and object detection. Given training data comprised of 3D scans and images of objects from various viewpoints, we learn a prior... | [
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35 | Large-Scale Video Summarization Using Web-Image Priors | [
"Aditya Khosla",
"Raffay Hamid",
"Chih-Jen Lin",
"Neel Sundaresan"
] | https://openaccess.thecvf.com/content_cvpr_2013/html/Khosla_Large-Scale_Video_Summarization_2013_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2013/papers/Khosla_Large-Scale_Video_Summarization_2013_CVPR_paper.pdf | null | null | null | @InProceedings{Khosla_2013_ICCV_Workshops,author = {Khosla, Aditya and Hamid, Raffay and Lin, Chih-Jen and Sundaresan, Neel},title = {Large-Scale Video Summarization Using Web-Image Priors},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | Given the enormous growth in user-generated videos, it is becoming increasingly important to be able to navigate them efficiently. As these videos are generally of poor quality, summarization methods designed for well-produced videos do not generalize to them. To address this challenge, we propose to use web-images as ... | [
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36 | Deformable Graph Matching | [
"Feng Zhou",
"Fernando De la Torre"
] | https://openaccess.thecvf.com/content_cvpr_2013/html/Zhou_Deformable_Graph_Matching_2013_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2013/papers/Zhou_Deformable_Graph_Matching_2013_CVPR_paper.pdf | null | null | null | @InProceedings{Zhou_2013_ICCV_Workshops,author = {Zhou, Feng and De la Torre, Fernando},title = {Deformable Graph Matching},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | Graph matching (GM) is a fundamental problem in computer science, and it has been successfully applied to many problems in computer vision. Although widely used, existing GM algorithms cannot incorporate global consistence among nodes, which is a natural constraint in computer vision problems. This paper proposes defor... | [
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37 | 3D Visual Proxemics: Recognizing Human Interactions in 3D from a Single Image | [
"Ishani Chakraborty",
"Hui Cheng",
"Omar Javed"
] | https://openaccess.thecvf.com/content_cvpr_2013/html/Chakraborty_3D_Visual_Proxemics_2013_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2013/papers/Chakraborty_3D_Visual_Proxemics_2013_CVPR_paper.pdf | null | null | null | @InProceedings{Chakraborty_2013_ICCV_Workshops,author = {Chakraborty, Ishani and Cheng, Hui and Javed, Omar},title = {3D Visual Proxemics: Recognizing Human Interactions in 3D from a Single Image},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2... | We present a unified framework for detecting and classifying people interactions in unconstrained user generated images. g Unlike previous approaches that directly map people/face locations in 2D image space into features for classification, we first estimate camera viewpoint and people positions in 3D space and then e... | [
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38 | Dictionary Learning from Ambiguously Labeled Data | [
"Yi-Chen Chen",
"Vishal M. Patel",
"Jaishanker K. Pillai",
"Rama Chellappa",
"P. J. Phillips"
] | https://openaccess.thecvf.com/content_cvpr_2013/html/Chen_Dictionary_Learning_from_2013_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2013/papers/Chen_Dictionary_Learning_from_2013_CVPR_paper.pdf | null | null | null | @InProceedings{Chen_2013_ICCV_Workshops,author = {Chen, Yi-Chen and Patel, Vishal M. and Pillai, Jaishanker K. and Chellappa, Rama and Phillips, P. J.},title = {Dictionary Learning from Ambiguously Labeled Data},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {... | We propose a novel dictionary-based learning method for ambiguously labeled multiclass classification, where each training sample has multiple labels and only one of them is the correct label. The dictionary learning problem is solved using an iterative alternating algorithm. At each iteration of the algorithm, two alt... | [
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39 | Graph-Based Optimization with Tubularity Markov Tree for 3D Vessel Segmentation | [
"Ning Zhu",
"Albert C.S. Chung"
] | https://openaccess.thecvf.com/content_cvpr_2013/html/Zhu_Graph-Based_Optimization_with_2013_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2013/papers/Zhu_Graph-Based_Optimization_with_2013_CVPR_paper.pdf | null | null | null | @InProceedings{Zhu_2013_ICCV_Workshops,author = {Zhu, Ning and Chung, Albert C.S.},title = {Graph-Based Optimization with Tubularity Markov Tree for 3D Vessel Segmentation},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | In this paper, we propose a graph-based method for 3D vessel tree structure segmentation based on a new tubularity Markov tree model (TMT ), which works as both new energy function and graph construction method. With the help of power-watershed implementation [7], a global optimal segmentation can be obtained with low ... | [
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40 | Fast Convolutional Sparse Coding | [
"Hilton Bristow",
"Anders Eriksson",
"Simon Lucey"
] | https://openaccess.thecvf.com/content_cvpr_2013/html/Bristow_Fast_Convolutional_Sparse_2013_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2013/papers/Bristow_Fast_Convolutional_Sparse_2013_CVPR_paper.pdf | null | null | null | @InProceedings{Bristow_2013_ICCV_Workshops,author = {Bristow, Hilton and Eriksson, Anders and Lucey, Simon},title = {Fast Convolutional Sparse Coding},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | Sparse coding has become an increasingly popular method in learning and vision for a variety of classification, reconstruction and coding tasks. The canonical approach intrinsically assumes independence between observations during learning. For many natural signals however, sparse coding is applied to sub-elements ( i.... | [
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41 | Block and Group Regularized Sparse Modeling for Dictionary Learning | [
"Yu-Tseh Chi",
"Mohsen Ali",
"Ajit Rajwade",
"Jeffrey Ho"
] | https://openaccess.thecvf.com/content_cvpr_2013/html/Chi_Block_and_Group_2013_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2013/papers/Chi_Block_and_Group_2013_CVPR_paper.pdf | null | null | null | @InProceedings{Chi_2013_ICCV_Workshops,author = {Chi, Yu-Tseh and Ali, Mohsen and Rajwade, Ajit and Ho, Jeffrey},title = {Block and Group Regularized Sparse Modeling for Dictionary Learning},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | This paper proposes a dictionary learning framework that combines the proposed block/group (BGSC) or reconstructed block/group (R-BGSC) sparse coding schemes with the novel Intra-block Coherence Suppression Dictionary Learning (ICS-DL) algorithm. An important and distinguishing feature of the proposed framework is that... | [
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42 | Compressed Hashing | [
"Yue Lin",
"Rong Jin",
"Deng Cai",
"Shuicheng Yan",
"Xuelong Li"
] | https://openaccess.thecvf.com/content_cvpr_2013/html/Lin_Compressed_Hashing_2013_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2013/papers/Lin_Compressed_Hashing_2013_CVPR_paper.pdf | null | null | null | @InProceedings{Lin_2013_ICCV_Workshops,author = {Lin, Yue and Jin, Rong and Cai, Deng and Yan, Shuicheng and Li, Xuelong},title = {Compressed Hashing},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | Recent studies have shown that hashing methods are effective for high dimensional nearest neighbor search. A common problem shared by many existing hashing methods is that in order to achieve a satisfied performance, a large number of hash tables (i.e., long codewords) are required. To address this challenge, in this p... | [
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43 | Part Discovery from Partial Correspondence | [
"Subhransu Maji",
"Gregory Shakhnarovich"
] | https://openaccess.thecvf.com/content_cvpr_2013/html/Maji_Part_Discovery_from_2013_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2013/papers/Maji_Part_Discovery_from_2013_CVPR_paper.pdf | null | null | null | @InProceedings{Maji_2013_ICCV_Workshops,author = {Maji, Subhransu and Shakhnarovich, Gregory},title = {Part Discovery from Partial Correspondence},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | We study the problem of part discovery when partial correspondence between instances of a category are available. For visual categories that exhibit high diversity in structure such as buildings, our approach can be used to discover parts that are hard to name, but can be easily expressed as a correspondence between pa... | [
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44 | Alternating Decision Forests | [
"Samuel Schulter",
"Paul Wohlhart",
"Christian Leistner",
"Amir Saffari",
"Peter M. Roth",
"Horst Bischof"
] | https://openaccess.thecvf.com/content_cvpr_2013/html/Schulter_Alternating_Decision_Forests_2013_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2013/papers/Schulter_Alternating_Decision_Forests_2013_CVPR_paper.pdf | null | null | null | @InProceedings{Schulter_2013_ICCV_Workshops,author = {Schulter, Samuel and Wohlhart, Paul and Leistner, Christian and Saffari, Amir and Roth, Peter M. and Bischof, Horst},title = {Alternating Decision Forests},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {Ju... | This paper introduces a novel classification method termed Alternating Decision Forests (ADFs), which formulates the training of Random Forests explicitly as a global loss minimization problem. During training, the losses are minimized via keeping an adaptive weight distribution over the training samples, similar to Bo... | [
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45 | SWIGS: A Swift Guided Sampling Method | [
"Victor Fragoso",
"Matthew Turk"
] | https://openaccess.thecvf.com/content_cvpr_2013/html/Fragoso_SWIGS_A_Swift_2013_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2013/papers/Fragoso_SWIGS_A_Swift_2013_CVPR_paper.pdf | null | null | null | @InProceedings{Fragoso_2013_ICCV_Workshops,author = {Fragoso, Victor and Turk, Matthew},title = {SWIGS: A Swift Guided Sampling Method},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | We present SWIGS, a Swift and efficient Guided Sampling method for robust model estimation from image feature correspondences. Our method leverages the accuracy of our new confidence measure (MR-Rayleigh), which assigns a correctness-confidence to a putative correspondence in an online fashion. MR-Rayleigh is inspired ... | [
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46 | Recognize Human Activities from Partially Observed Videos | [
"Yu Cao",
"Daniel Barrett",
"Andrei Barbu",
"Siddharth Narayanaswamy",
"Haonan Yu",
"Aaron Michaux",
"Yuewei Lin",
"Sven Dickinson",
"Jeffrey Mark Siskind",
"Song Wang"
] | https://openaccess.thecvf.com/content_cvpr_2013/html/Cao_Recognize_Human_Activities_2013_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2013/papers/Cao_Recognize_Human_Activities_2013_CVPR_paper.pdf | null | null | null | @InProceedings{Cao_2013_ICCV_Workshops,author = {Cao, Yu and Barrett, Daniel and Barbu, Andrei and Narayanaswamy, Siddharth and Yu, Haonan and Michaux, Aaron and Lin, Yuewei and Dickinson, Sven and Mark Siskind, Jeffrey and Wang, Song},title = {Recognize Human Activities from Partially Observed Videos},booktitle = {Pro... | Recognizing human activities in partially observed videos is a challenging problem and has many practical applications. When the unobserved subsequence is at the end of the video, the problem is reduced to activity prediction from unfinished activity streaming, which has been studied by many researchers. However, in th... | [
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47 | A Convex Regularizer for Reducing Color Artifact in Color Image Recovery | [
"Shunsuke Ono",
"Isao Yamada"
] | https://openaccess.thecvf.com/content_cvpr_2013/html/Ono_A_Convex_Regularize_2013_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2013/papers/Ono_A_Convex_Regularize_2013_CVPR_paper.pdf | null | null | null | @InProceedings{Ono_2013_ICCV_Workshops,author = {Ono, Shunsuke and Yamada, Isao},title = {A Convex Regularizer for Reducing Color Artifact in Color Image Recovery},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | We propose a new convex regularizer, named the local color nuclear norm (LCNN), for color image recovery. The LCNN is designed to promote a property inherent in natural color images - in which their local color distributions often exhibit strong linearity - and is thus expected to reduce color artifact effectively. In ... | [
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48 | Maximum Cohesive Grid of Superpixels for Fast Object Localization | [
"Liang Li",
"Wei Feng",
"Liang Wan",
"Jiawan Zhang"
] | https://openaccess.thecvf.com/content_cvpr_2013/html/Li_Maximum_Cohesive_Grid_2013_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2013/papers/Li_Maximum_Cohesive_Grid_2013_CVPR_paper.pdf | null | null | null | @InProceedings{Li_2013_ICCV_Workshops,author = {Li, Liang and Feng, Wei and Wan, Liang and Zhang, Jiawan},title = {Maximum Cohesive Grid of Superpixels for Fast Object Localization},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | This paper addresses a challenging problem of regularizing arbitrary superpixels into an optimal grid structure, which may significantly extend current low-level vision algorithms by allowing them to use superpixels (SPs) conveniently as using pixels. For this purpose, we aim at constructing maximum cohesive SP-grid, w... | [
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49 | Action Recognition by Hierarchical Sequence Summarization | [
"Yale Song",
"Louis-Philippe Morency",
"Randall Davis"
] | https://openaccess.thecvf.com/content_cvpr_2013/html/Song_Action_Recognition_by_2013_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2013/papers/Song_Action_Recognition_by_2013_CVPR_paper.pdf | null | null | null | @InProceedings{Song_2013_ICCV_Workshops,author = {Song, Yale and Morency, Louis-Philippe and Davis, Randall},title = {Action Recognition by Hierarchical Sequence Summarization},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | Recent progress has shown that learning from hierarchical feature representations leads to improvements in various computer vision tasks. Motivated by the observation that human activity data contains information at various temporal resolutions, we present a hierarchical sequence summarization approach for action recog... | [
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50 | An Iterated L1 Algorithm for Non-smooth Non-convex Optimization in Computer Vision | [
"Peter Ochs",
"Alexey Dosovitskiy",
"Thomas Brox",
"Thomas Pock"
] | https://openaccess.thecvf.com/content_cvpr_2013/html/Ochs_An_Iterated_L1_2013_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2013/papers/Ochs_An_Iterated_L1_2013_CVPR_paper.pdf | null | null | null | @InProceedings{Ochs_2013_ICCV_Workshops,author = {Ochs, Peter and Dosovitskiy, Alexey and Brox, Thomas and Pock, Thomas},title = {An Iterated L1 Algorithm for Non-smooth Non-convex Optimization in Computer Vision},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month =... | Natural image statistics indicate that we should use nonconvex norms for most regularization tasks in image processing and computer vision. Still, they are rarely used in practice due to the challenge to optimize them. Recently, iteratively reweighed 1 minimization has been proposed as a way to tackle a class of non-co... | [
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51 | Ensemble Video Object Cut in Highly Dynamic Scenes | [
"Xiaobo Ren",
"Tony X. Han",
"Zhihai He"
] | https://openaccess.thecvf.com/content_cvpr_2013/html/Ren_Ensemble_Video_Object_2013_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2013/papers/Ren_Ensemble_Video_Object_2013_CVPR_paper.pdf | null | null | null | @InProceedings{Ren_2013_ICCV_Workshops,author = {Ren, Xiaobo and Han, Tony X. and He, Zhihai},title = {Ensemble Video Object Cut in Highly Dynamic Scenes},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | We consider video object cut as an ensemble of framelevel background-foreground object classifiers which fuses information across frames and refine their segmentation results in a collaborative and iterative manner. Our approach addresses the challenging issues of modeling of background with dynamic textures and segmen... | [
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52 | Learning for Structured Prediction Using Approximate Subgradient Descent with Working Sets | [
"Aurelien Lucchi",
"Yunpeng Li",
"Pascal Fua"
] | https://openaccess.thecvf.com/content_cvpr_2013/html/Lucchi_Learning_for_Structured_2013_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2013/papers/Lucchi_Learning_for_Structured_2013_CVPR_paper.pdf | null | null | null | @InProceedings{Lucchi_2013_ICCV_Workshops,author = {Lucchi, Aurelien and Li, Yunpeng and Fua, Pascal},title = {Learning for Structured Prediction Using Approximate Subgradient Descent with Working Sets},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},yea... | We propose a working set based approximate subgradient descent algorithm to minimize the margin-sensitive hinge loss arising from the soft constraints in max-margin learning frameworks, such as the structured SVM. We focus on the setting of general graphical models, such as loopy MRFs and CRFs commonly used in image se... | [
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53 | Exploring Implicit Image Statistics for Visual Representativeness Modeling | [
"Xiaoshuai Sun",
"Xin-Jing Wang",
"Hongxun Yao",
"Lei Zhang"
] | https://openaccess.thecvf.com/content_cvpr_2013/html/Sun_Exploring_Implicit_Image_2013_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2013/papers/Sun_Exploring_Implicit_Image_2013_CVPR_paper.pdf | null | null | null | @InProceedings{Sun_2013_ICCV_Workshops,author = {Sun, Xiaoshuai and Wang, Xin-Jing and Yao, Hongxun and Zhang, Lei},title = {Exploring Implicit Image Statistics for Visual Representativeness Modeling},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year ... | In this paper, we propose a computational model of visual representativeness by integrating cognitive theories of representativeness heuristics with computer vision and machine learning techniques. Unlike previous models that build their representativeness measure based on the visible data, our model takes the initial ... | [
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54 | Reconstructing Gas Flows Using Light-Path Approximation | [
"Yu Ji",
"Jinwei Ye",
"Jingyi Yu"
] | https://openaccess.thecvf.com/content_cvpr_2013/html/Ji_Reconstructing_Gas_Flows_2013_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2013/papers/Ji_Reconstructing_Gas_Flows_2013_CVPR_paper.pdf | null | null | null | @InProceedings{Ji_2013_ICCV_Workshops,author = {Ji, Yu and Ye, Jinwei and Yu, Jingyi},title = {Reconstructing Gas Flows Using Light-Path Approximation},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | Transparent gas flows are difficult to reconstruct: the refractive index field (RIF) within the gas volume is uneven and rapidly evolving, and correspondence matching under distortions is challenging. We present a novel computational imaging solution by exploiting the light field probe (LFProbe). A LF-probe resembles a... | [
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55 | Learning Multiple Non-linear Sub-spaces Using K-RBMs | [
"Siddhartha Chandra",
"Shailesh Kumar",
"C.V. Jawahar"
] | https://openaccess.thecvf.com/content_cvpr_2013/html/Chandra_Learning_Multiple_Non-linear_2013_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2013/papers/Chandra_Learning_Multiple_Non-linear_2013_CVPR_paper.pdf | null | null | null | @InProceedings{Chandra_2013_ICCV_Workshops,author = {Chandra, Siddhartha and Kumar, Shailesh and Jawahar, C.V.},title = {Learning Multiple Non-linear Sub-spaces Using K-RBMs},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | Understanding the nature of data is the key to building good representations. In domains such as natural images, the data comes from very complex distributions which are hard to capture. Feature learning intends to discover or best approximate these underlying distributions and use their knowledge to weed out irrelevan... | [
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56 | Articulated and Restricted Motion Subspaces and Their Signatures | [
"Bastien Jacquet",
"Roland Angst",
"Marc Pollefeys"
] | https://openaccess.thecvf.com/content_cvpr_2013/html/Jacquet_Articulated_and_Restricted_2013_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2013/papers/Jacquet_Articulated_and_Restricted_2013_CVPR_paper.pdf | null | null | null | @InProceedings{Jacquet_2013_ICCV_Workshops,author = {Jacquet, Bastien and Angst, Roland and Pollefeys, Marc},title = {Articulated and Restricted Motion Subspaces and Their Signatures},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | Articulated objects represent an important class of objects in our everyday environment. Automatic detection of the type of articulated or otherwise restricted motion and extraction of the corresponding motion parameters are therefore of high value, e.g. in order to augment an otherwise static 3D reconstruction with dy... | [
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57 | Simultaneous Active Learning of Classifiers & Attributes via Relative Feedback | [
"Arijit Biswas",
"Devi Parikh"
] | https://openaccess.thecvf.com/content_cvpr_2013/html/Biswas_Simultaneous_Active_Learning_2013_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2013/papers/Biswas_Simultaneous_Active_Learning_2013_CVPR_paper.pdf | null | null | null | @InProceedings{Biswas_2013_ICCV_Workshops,author = {Biswas, Arijit and Parikh, Devi},title = {Simultaneous Active Learning of Classifiers & Attributes via Relative Feedback},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | Active learning provides useful tools to reduce annotation costs without compromising classifier performance. However it traditionally views the supervisor simply as a labeling machine. Recently a new interactive learning paradigm was introduced that allows the supervisor to additionally convey useful domain knowledge ... | [
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58 | Monocular Template-Based 3D Reconstruction of Extensible Surfaces with Local Linear Elasticity | [
"Abed Malti",
"Richard Hartley",
"Adrien Bartoli",
"Jae-Hak Kim"
] | https://openaccess.thecvf.com/content_cvpr_2013/html/Malti_Monocular_Template-Based_3D_2013_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2013/papers/Malti_Monocular_Template-Based_3D_2013_CVPR_paper.pdf | null | null | null | @InProceedings{Malti_2013_ICCV_Workshops,author = {Malti, Abed and Hartley, Richard and Bartoli, Adrien and Kim, Jae-Hak},title = {Monocular Template-Based 3D Reconstruction of Extensible Surfaces with Local Linear Elasticity},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (C... | We propose a new approach for template-based extensible surface reconstruction from a single view. We extend the method of isometric surface reconstruction and more recent work on conformal surface reconstruction. Our approach relies on the minimization of a proposed stretching energy formalized with respect to the Poi... | [
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59 | Multi-view Photometric Stereo with Spatially Varying Isotropic Materials | [
"Zhenglong Zhou",
"Zhe Wu",
"Ping Tan"
] | https://openaccess.thecvf.com/content_cvpr_2013/html/Zhou_Multi-view_Photometric_Stereo_2013_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2013/papers/Zhou_Multi-view_Photometric_Stereo_2013_CVPR_paper.pdf | null | null | null | @InProceedings{Zhou_2013_ICCV_Workshops,author = {Zhou, Zhenglong and Wu, Zhe and Tan, Ping},title = {Multi-view Photometric Stereo with Spatially Varying Isotropic Materials},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | We present a method to capture both 3D shape and spatially varying reflectance with a multi-view photometric stereo technique that works for general isotropic materials. Our data capture setup is simple, which consists of only a digital camera and a handheld light source. From a single viewpoint, we use a set of photom... | [
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60 | A New Model and Simple Algorithms for Multi-label Mumford-Shah Problems | [
"Byung-Woo Hong",
"Zhaojin Lu",
"Ganesh Sundaramoorthi"
] | https://openaccess.thecvf.com/content_cvpr_2013/html/Hong_A_New_Model_2013_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2013/papers/Hong_A_New_Model_2013_CVPR_paper.pdf | null | null | null | @InProceedings{Hong_2013_ICCV_Workshops,author = {Hong, Byung-Woo and Lu, Zhaojin and Sundaramoorthi, Ganesh},title = {A New Model and Simple Algorithms for Multi-label Mumford-Shah Problems},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | In this work, we address the multi-label Mumford-Shah problem, i.e., the problem of jointly estimating a partitioning of the domain of the image, and functions defined within regions of the partition. We create algorithms that are efficient, robust to undesirable local minima, and are easy-toimplement. Our algorithms a... | [
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61 | Kernel Learning for Extrinsic Classification of Manifold Features | [
"Raviteja Vemulapalli",
"Jaishanker K. Pillai",
"Rama Chellappa"
] | https://openaccess.thecvf.com/content_cvpr_2013/html/Vemulapalli_Kernel_Learning_for_2013_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2013/papers/Vemulapalli_Kernel_Learning_for_2013_CVPR_paper.pdf | null | null | null | @InProceedings{Vemulapalli_2013_ICCV_Workshops,author = {Vemulapalli, Raviteja and Pillai, Jaishanker K. and Chellappa, Rama},title = {Kernel Learning for Extrinsic Classification of Manifold Features},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year... | In computer vision applications, features often lie on Riemannian manifolds with known geometry. Popular learning algorithms such as discriminant analysis, partial least squares, support vector machines, etc., are not directly applicable to such features due to the non-Euclidean nature of the underlying spaces. Hence, ... | [
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62 | Finding Things: Image Parsing with Regions and Per-Exemplar Detectors | [
"Joseph Tighe",
"Svetlana Lazebnik"
] | https://openaccess.thecvf.com/content_cvpr_2013/html/Tighe_Finding_Things_Image_2013_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2013/papers/Tighe_Finding_Things_Image_2013_CVPR_paper.pdf | null | null | null | @InProceedings{Tighe_2013_ICCV_Workshops,author = {Tighe, Joseph and Lazebnik, Svetlana},title = {Finding Things: Image Parsing with Regions and Per-Exemplar Detectors},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | This paper presents a system for image parsing, or labeling each pixel in an image with its semantic category, aimed at achieving broad coverage across hundreds of object categories, many of them sparsely sampled. The system combines region-level features with per-exemplar sliding window detectors. Per-exemplar detecto... | [
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63 | Complex Event Detection via Multi-source Video Attributes | [
"Zhigang Ma",
"Yi Yang",
"Zhongwen Xu",
"Shuicheng Yan",
"Nicu Sebe",
"Alexander G. Hauptmann"
] | https://openaccess.thecvf.com/content_cvpr_2013/html/Ma_Complex_Event_Detection_2013_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2013/papers/Ma_Complex_Event_Detection_2013_CVPR_paper.pdf | null | null | null | @InProceedings{Ma_2013_ICCV_Workshops,author = {Ma, Zhigang and Yang, Yi and Xu, Zhongwen and Yan, Shuicheng and Sebe, Nicu and Hauptmann, Alexander G.},title = {Complex Event Detection via Multi-source Video Attributes},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},... | Complex events essentially include human, scenes, objects and actions that can be summarized by visual attributes, so leveraging relevant attributes properly could be helpful for event detection. Many works have exploited attributes at image level for various applications. However, attributes at image level are possibl... | [
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64 | Learning Collections of Part Models for Object Recognition | [
"Ian Endres",
"Kevin J. Shih",
"Johnston Jiaa",
"Derek Hoiem"
] | https://openaccess.thecvf.com/content_cvpr_2013/html/Endres_Learning_Collections_of_2013_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2013/papers/Endres_Learning_Collections_of_2013_CVPR_paper.pdf | null | null | null | @InProceedings{Endres_2013_ICCV_Workshops,author = {Endres, Ian and Shih, Kevin J. and Jiaa, Johnston and Hoiem, Derek},title = {Learning Collections of Part Models for Object Recognition},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | We propose a method to learn a diverse collection of discriminative parts from object bounding box annotations. Part detectors can be trained and applied individually, which simplifies learning and extension to new features or categories. We apply the parts to object category detection, pooling part detections within b... | [
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65 | FrameBreak: Dramatic Image Extrapolation by Guided Shift-Maps | [
"Yinda Zhang",
"Jianxiong Xiao",
"James Hays",
"Ping Tan"
] | https://openaccess.thecvf.com/content_cvpr_2013/html/Zhang_FrameBreak_Dramatic_Image_2013_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2013/papers/Zhang_FrameBreak_Dramatic_Image_2013_CVPR_paper.pdf | null | null | null | @InProceedings{Zhang_2013_ICCV_Workshops,author = {Zhang, Yinda and Xiao, Jianxiong and Hays, James and Tan, Ping},title = {FrameBreak: Dramatic Image Extrapolation by Guided Shift-Maps},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | We significantly extrapolate the field of view of a photograph by learning from a roughly aligned, wide-angle guide image of the same scene category. Our method can extrapolate typical photos into complete panoramas. The extrapolation problem is formulated in the shift-map image synthesis framework. We analyze the self... | [
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66 | Bayesian Grammar Learning for Inverse Procedural Modeling | [
"Andelo Martinovic",
"Luc Van Gool"
] | https://openaccess.thecvf.com/content_cvpr_2013/html/Martinovic_Bayesian_Grammar_Learning_2013_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2013/papers/Martinovic_Bayesian_Grammar_Learning_2013_CVPR_paper.pdf | null | null | null | @InProceedings{Martinovic_2013_ICCV_Workshops,author = {Martinovic, Andelo and Van Gool, Luc},title = {Bayesian Grammar Learning for Inverse Procedural Modeling},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | Within the fields of urban reconstruction and city modeling, shape grammars have emerged as a powerful tool for both synthesizing novel designs and reconstructing buildings. Traditionally, a human expert was required to write grammars for specific building styles, which limited the scope of method applicability. We pre... | [
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67 | Single Image Calibration of Multi-axial Imaging Systems | [
"Amit Agrawal",
"Srikumar Ramalingam"
] | https://openaccess.thecvf.com/content_cvpr_2013/html/Agrawal_Single_Image_Calibration_2013_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2013/papers/Agrawal_Single_Image_Calibration_2013_CVPR_paper.pdf | null | null | null | @InProceedings{Agrawal_2013_ICCV_Workshops,author = {Agrawal, Amit and Ramalingam, Srikumar},title = {Single Image Calibration of Multi-axial Imaging Systems},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | Imaging systems consisting of a camera looking at multiple spherical mirrors (reflection) or multiple refractive spheres (refraction) have been used for wide-angle imaging applications. We describe such setups as multi-axial imaging systems, since a single sphere results in an axial system. Assuming an internally calib... | [
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68 | 3D R Transform on Spatio-temporal Interest Points for Action Recognition | [
"Chunfeng Yuan",
"Xi Li",
"Weiming Hu",
"Haibin Ling",
"Stephen Maybank"
] | https://openaccess.thecvf.com/content_cvpr_2013/html/Yuan_3D_R_Transform_2013_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2013/papers/Yuan_3D_R_Transform_2013_CVPR_paper.pdf | null | null | null | @InProceedings{Yuan_2013_ICCV_Workshops,author = {Yuan, Chunfeng and Li, Xi and Hu, Weiming and Ling, Haibin and Maybank, Stephen},title = {3D R Transform on Spatio-temporal Interest Points for Action Recognition},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month =... | Spatio-temporal interest points serve as an elementary building block in many modern action recognition algorithms, and most of them exploit the local spatio-temporal volume features using a Bag of Visual Words (BOVW) representation. Such representation, however, ignores potentially valuable information about the globa... | [
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69 | First-Person Activity Recognition: What Are They Doing to Me? | [
"Michael S. Ryoo",
"Larry Matthies"
] | https://openaccess.thecvf.com/content_cvpr_2013/html/Ryoo_First-Person_Activity_Recognition_2013_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2013/papers/Ryoo_First-Person_Activity_Recognition_2013_CVPR_paper.pdf | null | null | null | @InProceedings{Ryoo_2013_ICCV_Workshops,author = {Ryoo, Michael S. and Matthies, Larry},title = {First-Person Activity Recognition: What Are They Doing to Me?},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | This paper discusses the problem of recognizing interaction-level human activities from a first-person viewpoint. The goal is to enable an observer (e.g., a robot or a wearable camera) to understand 'what activity others are performing to it' from continuous video inputs. These include friendly interactions such as 'a ... | [
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70 | Sparse Subspace Denoising for Image Manifolds | [
"Bo Wang",
"Zhuowen Tu"
] | https://openaccess.thecvf.com/content_cvpr_2013/html/Wang_Sparse_Subspace_Denoising_2013_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2013/papers/Wang_Sparse_Subspace_Denoising_2013_CVPR_paper.pdf | null | null | null | @InProceedings{Wang_2013_ICCV_Workshops,author = {Wang, Bo and Tu, Zhuowen},title = {Sparse Subspace Denoising for Image Manifolds},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | With the increasing availability of high dimensional data and demand in sophisticated data analysis algorithms, manifold learning becomes a critical technique to perform dimensionality reduction, unraveling the intrinsic data structure. The real-world data however often come with noises and outliers; seldom, all the da... | [
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71 | Adding Unlabeled Samples to Categories by Learned Attributes | [
"Jonghyun Choi",
"Mohammad Rastegari",
"Ali Farhadi",
"Larry S. Davis"
] | https://openaccess.thecvf.com/content_cvpr_2013/html/Choi_Adding_Unlabeled_Samples_2013_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2013/papers/Choi_Adding_Unlabeled_Samples_2013_CVPR_paper.pdf | null | null | null | @InProceedings{Choi_2013_ICCV_Workshops,author = {Choi, Jonghyun and Rastegari, Mohammad and Farhadi, Ali and Davis, Larry S.},title = {Adding Unlabeled Samples to Categories by Learned Attributes},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {... | We propose a method to expand the visual coverage of training sets that consist of a small number of labeled examples using learned attributes. Our optimization formulation discovers category specific attributes as well as the images that have high confidence in terms of the attributes. In addition, we propose a method... | [
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72 | Auxiliary Cuts for General Classes of Higher Order Functionals | [
"Ismail Ben Ayed",
"Lena Gorelick",
"Yuri Boykov"
] | https://openaccess.thecvf.com/content_cvpr_2013/html/Ayed_Auxiliary_Cuts_for_2013_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2013/papers/Ayed_Auxiliary_Cuts_for_2013_CVPR_paper.pdf | null | null | null | @InProceedings{Ayed_2013_ICCV_Workshops,author = {Ben Ayed, Ismail and Gorelick, Lena and Boykov, Yuri},title = {Auxiliary Cuts for General Classes of Higher Order Functionals},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | Several recent studies demonstrated that higher order (non-linear) functionals can yield outstanding performances in the contexts of segmentation, co-segmentation and tracking. In general, higher order functionals result in difficult problems that are not amenable to standard optimizers, and most of the existing works ... | [
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73 | Template-Based Isometric Deformable 3D Reconstruction with Sampling-Based Focal Length Self-Calibration | [
"Adrien Bartoli",
"Toby Collins"
] | https://openaccess.thecvf.com/content_cvpr_2013/html/Bartoli_Template-Based_Isometric_Deformable_2013_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2013/papers/Bartoli_Template-Based_Isometric_Deformable_2013_CVPR_paper.pdf | null | null | null | @InProceedings{Bartoli_2013_ICCV_Workshops,author = {Bartoli, Adrien and Collins, Toby},title = {Template-Based Isometric Deformable 3D Reconstruction with Sampling-Based Focal Length Self-Calibration},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year... | It has been shown that a surface deforming isometrically can be reconstructed from a single image and a template 3D shape. Methods from the literature solve this problem efficiently. However, they all assume that the camera model is calibrated, which drastically limits their applicability. We propose (i) a general vari... | [
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74 | Binary Code Ranking with Weighted Hamming Distance | [
"Lei Zhang",
"Yongdong Zhang",
"Jinhu Tang",
"Ke Lu",
"Qi Tian"
] | https://openaccess.thecvf.com/content_cvpr_2013/html/Zhang_Binary_Code_Ranking_2013_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2013/papers/Zhang_Binary_Code_Ranking_2013_CVPR_paper.pdf | null | null | null | @InProceedings{Zhang_2013_ICCV_Workshops,author = {Zhang, Lei and Zhang, Yongdong and Tang, Jinhu and Lu, Ke and Tian, Qi},title = {Binary Code Ranking with Weighted Hamming Distance},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | Binary hashing has been widely used for efficient similarity search due to its query and storage efficiency. In most existing binary hashing methods, the high-dimensional data are embedded into Hamming space and the distance or similarity of two points are approximated by the Hamming distance between their binary codes... | [
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75 | Video Editing with Temporal, Spatial and Appearance Consistency | [
"Xiaojie Guo",
"Xiaochun Cao",
"Xiaowu Chen",
"Yi Ma"
] | https://openaccess.thecvf.com/content_cvpr_2013/html/Guo_Video_Editing_with_2013_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2013/papers/Guo_Video_Editing_with_2013_CVPR_paper.pdf | null | null | null | @InProceedings{Guo_2013_ICCV_Workshops,author = {Guo, Xiaojie and Cao, Xiaochun and Chen, Xiaowu and Ma, Yi},title = {Video Editing with Temporal, Spatial and Appearance Consistency},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | Given an area of interest in a video sequence, one may want to manipulate or edit the area, e.g. remove occlusions from or replace with an advertisement on it. Such a task involves three main challenges including temporal consistency, spatial pose, and visual realism. The proposed method effectively seeks an optimal so... | [
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76 | Unsupervised Joint Object Discovery and Segmentation in Internet Images | [
"Michael Rubinstein",
"Armand Joulin",
"Johannes Kopf",
"Ce Liu"
] | https://openaccess.thecvf.com/content_cvpr_2013/html/Rubinstein_Unsupervised_Joint_Object_2013_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2013/papers/Rubinstein_Unsupervised_Joint_Object_2013_CVPR_paper.pdf | null | null | null | @InProceedings{Rubinstein_2013_ICCV_Workshops,author = {Rubinstein, Michael and Joulin, Armand and Kopf, Johannes and Liu, Ce},title = {Unsupervised Joint Object Discovery and Segmentation in Internet Images},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {Jun... | We present a new unsupervised algorithm to discover and segment out common objects from large and diverse image collections. In contrast to previous co-segmentation methods, our algorithm performs well even in the presence of significant amounts of noise images (images not containing a common object), as typical for da... | [
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77 | Learning SURF Cascade for Fast and Accurate Object Detection | [
"Jianguo Li",
"Yimin Zhang"
] | https://openaccess.thecvf.com/content_cvpr_2013/html/Li_Learning_SURF_Cascade_2013_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2013/papers/Li_Learning_SURF_Cascade_2013_CVPR_paper.pdf | null | null | null | @InProceedings{Li_2013_ICCV_Workshops,author = {Li, Jianguo and Zhang, Yimin},title = {Learning SURF Cascade for Fast and Accurate Object Detection},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | This paper presents a novel learning framework for training boosting cascade based object detector from large scale dataset. The framework is derived from the wellknown Viola-Jones (VJ) framework but distinguished by three key differences. First, the proposed framework adopts multi-dimensional SURF features instead of ... | [
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78 | Efficient Computation of Shortest Path-Concavity for 3D Meshes | [
"Henrik Zimmer",
"Marcel Campen",
"Leif Kobbelt"
] | https://openaccess.thecvf.com/content_cvpr_2013/html/Zimmer_Efficient_Computation_of_2013_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2013/papers/Zimmer_Efficient_Computation_of_2013_CVPR_paper.pdf | null | null | null | @InProceedings{Zimmer_2013_ICCV_Workshops,author = {Zimmer, Henrik and Campen, Marcel and Kobbelt, Leif},title = {Efficient Computation of Shortest Path-Concavity for 3D Meshes},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | In the context of shape segmentation and retrieval object-wide distributions of measures are needed to accurately evaluate and compare local regions of shapes. Lien et al. [16] proposed two point-wise concavity measures in the context of Approximate Convex Decompositions of polygons measuring the distance from a point ... | [
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79 | Learning Discriminative Illumination and Filters for Raw Material Classification with Optimal Projections of Bidirectional Texture Functions | [
"Chao Liu",
"Geifei Yang",
"Jinwei Gu"
] | https://openaccess.thecvf.com/content_cvpr_2013/html/Liu_Learning_Discriminative_Illumination_2013_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2013/papers/Liu_Learning_Discriminative_Illumination_2013_CVPR_paper.pdf | null | null | null | @InProceedings{Liu_2013_ICCV_Workshops,author = {Liu, Chao and Yang, Geifei and Gu, Jinwei},title = {Learning Discriminative Illumination and Filters for Raw Material Classification with Optimal Projections of Bidirectional Texture Functions},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Patter... | We present a computational imaging method for raw material classification using features of Bidirectional Texture Functions (BTF). Texture is an intrinsic feature for many materials, such as wood, fabric, and granite. At appropriate scales, even "uniform" materials will also exhibit texture features that can be helpful... | [
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80 | Illumination Estimation Based on Bilayer Sparse Coding | [
"Bing Li",
"Weihua Xiong",
"Weiming Hu",
"Houwen Peng"
] | https://openaccess.thecvf.com/content_cvpr_2013/html/Li_Illumination_Estimation_Based_2013_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2013/papers/Li_Illumination_Estimation_Based_2013_CVPR_paper.pdf | null | null | null | @InProceedings{Li_2013_ICCV_Workshops,author = {Li, Bing and Xiong, Weihua and Hu, Weiming and Peng, Houwen},title = {Illumination Estimation Based on Bilayer Sparse Coding},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | Computational color constancy is a very important topic in computer vision and has attracted many researchers' attention. Recently, lots of research has shown the effects of using high level visual content cues for improving illumination estimation. However, nearly all the existing methods are essentially combinational... | [
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81 | Leveraging Structure from Motion to Learn Discriminative Codebooks for Scalable Landmark Classification | [
"Alessandro Bergamo",
"Sudipta N. Sinha",
"Lorenzo Torresani"
] | https://openaccess.thecvf.com/content_cvpr_2013/html/Bergamo_Leveraging_Structure_from_2013_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2013/papers/Bergamo_Leveraging_Structure_from_2013_CVPR_paper.pdf | null | null | null | @InProceedings{Bergamo_2013_ICCV_Workshops,author = {Bergamo, Alessandro and Sinha, Sudipta N. and Torresani, Lorenzo},title = {Leveraging Structure from Motion to Learn Discriminative Codebooks for Scalable Landmark Classification},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognit... | In this paper we propose a new technique for learning a discriminative codebook for local feature descriptors, specifically designed for scalable landmark classification. The key contribution lies in exploiting the knowledge of correspondences within sets of feature descriptors during codebook learning. Feature corresp... | [
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82 | Efficient 2D-to-3D Correspondence Filtering for Scalable 3D Object Recognition | [
"Qiang Hao",
"Rui Cai",
"Zhiwei Li",
"Lei Zhang",
"Yanwei Pang",
"Feng Wu",
"Yong Rui"
] | https://openaccess.thecvf.com/content_cvpr_2013/html/Hao_Efficient_2D-to-3D_Correspondence_2013_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2013/papers/Hao_Efficient_2D-to-3D_Correspondence_2013_CVPR_paper.pdf | null | null | null | @InProceedings{Hao_2013_ICCV_Workshops,author = {Hao, Qiang and Cai, Rui and Li, Zhiwei and Zhang, Lei and Pang, Yanwei and Wu, Feng and Rui, Yong},title = {Efficient 2D-to-3D Correspondence Filtering for Scalable 3D Object Recognition},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Reco... | 3D model-based object recognition has been a noticeable research trend in recent years. Common methods find 2D-to-3D correspondences and make recognition decisions by pose estimation, whose efficiency usually suffers from noisy correspondences caused by the increasing number of target objects. To overcome this scalabil... | [
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83 | Weakly Supervised Learning for Attribute Localization in Outdoor Scenes | [
"Shuo Wang",
"Jungseock Joo",
"Yizhou Wang",
"Song-Chun Zhu"
] | https://openaccess.thecvf.com/content_cvpr_2013/html/Wang_Weakly_Supervised_Learning_2013_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2013/papers/Wang_Weakly_Supervised_Learning_2013_CVPR_paper.pdf | null | null | null | @InProceedings{Wang_2013_ICCV_Workshops,author = {Wang, Shuo and Joo, Jungseock and Wang, Yizhou and Zhu, Song-Chun},title = {Weakly Supervised Learning for Attribute Localization in Outdoor Scenes},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = ... | In this paper, we propose a weakly supervised method for simultaneously learning scene parts and attributes from a collection of images associated with attributes in text, where the precise localization of the each attribute left unknown. Our method includes three aspects. (i) Compositional scene configuration. We lear... | [
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84 | Jointly Aligning and Segmenting Multiple Web Photo Streams for the Inference of Collective Photo Storylines | [
"Gunhee Kim",
"Eric P. Xing"
] | https://openaccess.thecvf.com/content_cvpr_2013/html/Kim_Jointly_Aligning_and_2013_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2013/papers/Kim_Jointly_Aligning_and_2013_CVPR_paper.pdf | null | null | null | @InProceedings{Kim_2013_ICCV_Workshops,author = {Kim, Gunhee and Xing, Eric P.},title = {Jointly Aligning and Segmenting Multiple Web Photo Streams for the Inference of Collective Photo Storylines},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {... | With an explosion of popularity of online photo sharing, we can trivially collect a huge number of photo streams for any interesting topics such as scuba diving as an outdoor recreational activity class. Obviously, the retrieved photo streams are neither aligned nor calibrated since they are taken in different temporal... | [
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85 | Studying Relationships between Human Gaze, Description, and Computer Vision | [
"Kiwon Yun",
"Yifan Peng",
"Dimitris Samaras",
"Gregory J. Zelinsky",
"Tamara L. Berg"
] | https://openaccess.thecvf.com/content_cvpr_2013/html/Yun_Studying_Relationships_between_2013_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2013/papers/Yun_Studying_Relationships_between_2013_CVPR_paper.pdf | null | null | null | @InProceedings{Yun_2013_ICCV_Workshops,author = {Yun, Kiwon and Peng, Yifan and Samaras, Dimitris and Zelinsky, Gregory J. and Berg, Tamara L.},title = {Studying Relationships between Human Gaze, Description, and Computer Vision},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition... | We posit that user behavior during natural viewing of images contains an abundance of information about the content of images as well as information related to user intent and user defined content importance. In this paper, we conduct experiments to better understand the relationship between images, the eye movements p... | [
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86 | SLAM++: Simultaneous Localisation and Mapping at the Level of Objects | [
"Renato F. Salas-Moreno",
"Richard A. Newcombe",
"Hauke Strasdat",
"Paul H.J. Kelly",
"Andrew J. Davison"
] | https://openaccess.thecvf.com/content_cvpr_2013/html/Salas-Moreno_SLAM_Simultaneous_Localisation_2013_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2013/papers/Salas-Moreno_SLAM_Simultaneous_Localisation_2013_CVPR_paper.pdf | null | null | null | @InProceedings{Salas-Moreno_2013_ICCV_Workshops,author = {Salas-Moreno, Renato F. and Newcombe, Richard A. and Strasdat, Hauke and Kelly, Paul H.J. and Davison, Andrew J.},title = {SLAM++: Simultaneous Localisation and Mapping at the Level of Objects},booktitle = {Proceedings of the IEEE Conference on Computer Vision a... | We present the major advantages of a new 'object oriented' 3D SLAM paradigm, which takes full advantage in the loop of prior knowledge that many scenes consist of repeated, domain-specific objects and structures. As a hand-held depth camera browses a cluttered scene, realtime 3D object recognition and tracking provides... | [
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87 | A Theory of Refractive Photo-Light-Path Triangulation | [
"Visesh Chari",
"Peter Sturm"
] | https://openaccess.thecvf.com/content_cvpr_2013/html/Chari_A_Theory_of_2013_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2013/papers/Chari_A_Theory_of_2013_CVPR_paper.pdf | null | null | null | @InProceedings{Chari_2013_ICCV_Workshops,author = {Chari, Visesh and Sturm, Peter},title = {A Theory of Refractive Photo-Light-Path Triangulation},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | 3D reconstruction of transparent refractive objects like a plastic bottle is challenging: they lack appearance related visual cues and merely reflect and refract light from the surrounding environment. Amongst several approaches to reconstruct such objects, the seminal work of Light-Path triangulation [17] is highly po... | [
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88 | Learning Structured Low-Rank Representations for Image Classification | [
"Yangmuzi Zhang",
"Zhuolin Jiang",
"Larry S. Davis"
] | https://openaccess.thecvf.com/content_cvpr_2013/html/Zhang_Learning_Structured_Low-Rank_2013_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2013/papers/Zhang_Learning_Structured_Low-Rank_2013_CVPR_paper.pdf | null | null | null | @InProceedings{Zhang_2013_ICCV_Workshops,author = {Zhang, Yangmuzi and Jiang, Zhuolin and Davis, Larry S.},title = {Learning Structured Low-Rank Representations for Image Classification},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | An approach to learn a structured low-rank representation for image classification is presented. We use a supervised learning method to construct a discriminative and reconstructive dictionary. By introducing an ideal regularization term, we perform low-rank matrix recovery for contaminated training data from all categ... | [
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89 | Detecting and Aligning Faces by Image Retrieval | [
"Xiaohui Shen",
"Zhe Lin",
"Jonathan Brandt",
"Ying Wu"
] | https://openaccess.thecvf.com/content_cvpr_2013/html/Shen_Detecting_and_Aligning_2013_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2013/papers/Shen_Detecting_and_Aligning_2013_CVPR_paper.pdf | null | null | null | @InProceedings{Shen_2013_ICCV_Workshops,author = {Shen, Xiaohui and Lin, Zhe and Brandt, Jonathan and Wu, Ying},title = {Detecting and Aligning Faces by Image Retrieval},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | Detecting faces in uncontrolled environments continues to be a challenge to traditional face detection methods[24] due to the large variation in facial appearances, as well as occlusion and clutter. In order to overcome these challenges, we present a novel and robust exemplarbased face detector that integrates image re... | [
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90 | Towards Contactless, Low-Cost and Accurate 3D Fingerprint Identification | [
"Ajay Kumar",
"Cyril Kwong"
] | https://openaccess.thecvf.com/content_cvpr_2013/html/Kumar_Towards_Contactless_Low-Cost_2013_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2013/papers/Kumar_Towards_Contactless_Low-Cost_2013_CVPR_paper.pdf | null | null | null | @InProceedings{Kumar_2013_ICCV_Workshops,author = {Kumar, Ajay and Kwong, Cyril},title = {Towards Contactless, Low-Cost and Accurate 3D Fingerprint Identification},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | In order to avail the benefits of higher user convenience, hygiene, and improved accuracy, contactless 3D fingerprint recognition techniques have recently been introduced. One of the key limitations of these emerging 3D fingerprint technologies to replace the conventional 2D fingerprint system is their bulk and high co... | [
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91 | Augmenting CRFs with Boltzmann Machine Shape Priors for Image Labeling | [
"Andrew Kae",
"Kihyuk Sohn",
"Honglak Lee",
"Erik Learned-Miller"
] | https://openaccess.thecvf.com/content_cvpr_2013/html/Kae_Augmenting_CRFs_with_2013_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2013/papers/Kae_Augmenting_CRFs_with_2013_CVPR_paper.pdf | null | null | null | @InProceedings{Kae_2013_ICCV_Workshops,author = {Kae, Andrew and Sohn, Kihyuk and Lee, Honglak and Learned-Miller, Erik},title = {Augmenting CRFs with Boltzmann Machine Shape Priors for Image Labeling},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year... | Conditional random fields (CRFs) provide powerful tools for building models to label image segments. They are particularly well-suited to modeling local interactions among adjacent regions (e.g., superpixels). However, CRFs are limited in dealing with complex, global (long-range) interactions between regions. Complemen... | [
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92 | It's Not Polite to Point: Describing People with Uncertain Attributes | [
"Amir Sadovnik",
"Andrew Gallagher",
"Tsuhan Chen"
] | https://openaccess.thecvf.com/content_cvpr_2013/html/Sadovnik_Its_Not_Polite_2013_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2013/papers/Sadovnik_Its_Not_Polite_2013_CVPR_paper.pdf | null | null | null | @InProceedings{Sadovnik_2013_ICCV_Workshops,author = {Sadovnik, Amir and Gallagher, Andrew and Chen, Tsuhan},title = {It's Not Polite to Point: Describing People with Uncertain Attributes},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | Visual attributes are powerful features for many different applications in computer vision such as object detection and scene recognition. Visual attributes present another application that has not been examined as rigorously: verbal communication from a computer to a human. Since many attributes are nameable, the comp... | [
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93 | Reconstructing Loopy Curvilinear Structures Using Integer Programming | [
"Engin Turetken",
"Fethallah Benmansour",
"Bjoern Andres",
"Hanspeter Pfister",
"Pascal Fua"
] | https://openaccess.thecvf.com/content_cvpr_2013/html/Turetken_Reconstructing_Loopy_Curvilinear_2013_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2013/papers/Turetken_Reconstructing_Loopy_Curvilinear_2013_CVPR_paper.pdf | null | null | null | @InProceedings{Turetken_2013_ICCV_Workshops,author = {Turetken, Engin and Benmansour, Fethallah and Andres, Bjoern and Pfister, Hanspeter and Fua, Pascal},title = {Reconstructing Loopy Curvilinear Structures Using Integer Programming},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recogn... | We propose a novel approach to automated delineation of linear structures that form complex and potentially loopy networks. This is in contrast to earlier approaches that usually assume a tree topology for the networks. At the heart of our method is an Integer Programming formulation that allows us to find the global o... | [
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94 | Weakly-Supervised Dual Clustering for Image Semantic Segmentation | [
"Yang Liu",
"Jing Liu",
"Zechao Li",
"Jinhui Tang",
"Hanqing Lu"
] | https://openaccess.thecvf.com/content_cvpr_2013/html/Liu_Weakly-Supervised_Dual_Clustering_2013_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2013/papers/Liu_Weakly-Supervised_Dual_Clustering_2013_CVPR_paper.pdf | null | null | null | @InProceedings{Liu_2013_ICCV_Workshops,author = {Liu, Yang and Liu, Jing and Li, Zechao and Tang, Jinhui and Lu, Hanqing},title = {Weakly-Supervised Dual Clustering for Image Semantic Segmentation},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {... | In this paper, we propose a novel Weakly-Supervised Dual Clustering (WSDC) approach for image semantic segmentation with image-level labels, i.e., collaboratively performing image segmentation and tag alignment with those regions. The proposed approach is motivated from the observation that superpixels belonging to an ... | [
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95 | Multi-target Tracking by Rank-1 Tensor Approximation | [
"Xinchu Shi",
"Haibin Ling",
"Junling Xing",
"Weiming Hu"
] | https://openaccess.thecvf.com/content_cvpr_2013/html/Shi_Multi-target_Tracking_by_2013_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2013/papers/Shi_Multi-target_Tracking_by_2013_CVPR_paper.pdf | null | null | null | @InProceedings{Shi_2013_ICCV_Workshops,author = {Shi, Xinchu and Ling, Haibin and Xing, Junling and Hu, Weiming},title = {Multi-target Tracking by Rank-1 Tensor Approximation},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | In this paper we formulate multi-target tracking (MTT) as a rank-1 tensor approximation problem and propose an 1 norm tensor power iteration solution. In particular, a high order tensor is constructed based on trajectories in the time window, with each tensor element as the affinity of the corresponding trajectory cand... | [
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96 | Multi-image Blind Deblurring Using a Coupled Adaptive Sparse Prior | [
"Haichao Zhang",
"David Wipf",
"Yanning Zhang"
] | https://openaccess.thecvf.com/content_cvpr_2013/html/Zhang_Multi-image_Blind_Deblurring_2013_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2013/papers/Zhang_Multi-image_Blind_Deblurring_2013_CVPR_paper.pdf | null | null | null | @InProceedings{Zhang_2013_ICCV_Workshops,author = {Zhang, Haichao and Wipf, David and Zhang, Yanning},title = {Multi-image Blind Deblurring Using a Coupled Adaptive Sparse Prior},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | This paper presents a robust algorithm for estimating a single latent sharp image given multiple blurry and/or noisy observations. The underlying multi-image blind deconvolution problem is solved by linking all of the observations together via a Bayesian-inspired penalty function which couples the unknown latent image,... | [
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97 | Templateless Quasi-rigid Shape Modeling with Implicit Loop-Closure | [
"Ming Zeng",
"Jiaxiang Zheng",
"Xuan Cheng",
"Xinguo Liu"
] | https://openaccess.thecvf.com/content_cvpr_2013/html/Zeng_Templateless_Quasi-rigid_Shape_2013_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2013/papers/Zeng_Templateless_Quasi-rigid_Shape_2013_CVPR_paper.pdf | null | null | null | @InProceedings{Zeng_2013_ICCV_Workshops,author = {Zeng, Ming and Zheng, Jiaxiang and Cheng, Xuan and Liu, Xinguo},title = {Templateless Quasi-rigid Shape Modeling with Implicit Loop-Closure},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | This paper presents a method for quasi-rigid objects modeling from a sequence of depth scans captured at different time instances. As quasi-rigid objects, such as human bodies, usually have shape motions during the capture procedure, it is difficult to reconstruct their geometries. We represent the shape motion by a de... | [
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98 | Cross-View Action Recognition via a Continuous Virtual Path | [
"Zhong Zhang",
"Chunheng Wang",
"Baihua Xiao",
"Wen Zhou",
"Shuang Liu",
"Cunzhao Shi"
] | https://openaccess.thecvf.com/content_cvpr_2013/html/Zhang_Cross-View_Action_Recognition_2013_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2013/papers/Zhang_Cross-View_Action_Recognition_2013_CVPR_paper.pdf | null | null | null | @InProceedings{Zhang_2013_ICCV_Workshops,author = {Zhang, Zhong and Wang, Chunheng and Xiao, Baihua and Zhou, Wen and Liu, Shuang and Shi, Cunzhao},title = {Cross-View Action Recognition via a Continuous Virtual Path},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},mon... | In this paper, we propose a novel method for cross-view action recognition via a continuous virtual path which connects the source view and the target view. Each point on this virtual path is a virtual view which is obtained by a linear transformation of the action descriptor. All the virtual views are concatenated int... | [
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99 | Non-rigid Structure from Motion with Diffusion Maps Prior | [
"Lili Tao",
"Bogdan J. Matuszewski"
] | https://openaccess.thecvf.com/content_cvpr_2013/html/Tao_Non-rigid_Structure_from_2013_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2013/papers/Tao_Non-rigid_Structure_from_2013_CVPR_paper.pdf | null | null | null | @InProceedings{Tao_2013_ICCV_Workshops,author = {Tao, Lili and Matuszewski, Bogdan J.},title = {Non-rigid Structure from Motion with Diffusion Maps Prior},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | In this paper, a novel approach based on a non-linear manifold learning technique is proposed to recover 3D nonrigid structures from 2D image sequences captured by a single camera. Most of the existing approaches assume that 3D shapes can be accurately modelled in a linear subspace. These techniques perform well when t... | [
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