title stringlengths 9 156 | authors stringlengths 6 291 | abstract stringlengths 326 3.46k ⌀ | pdf_path stringlengths 42 154 | download_url stringlengths 88 199 | bibtex stringlengths 203 793 |
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Higher Order Matching for Consistent Multiple Target Tracking | Chetan Arora, Amir Globerson | This paper addresses the data assignment problem in multi frame multi object tracking in video sequences. Traditional methods employing maximum weight bipartite matching offer limited temporal modeling. It has recently been shown [6, 8, 24] that incorporating higher order temporal constraints improves the assignment so... | 2013/pdf/Arora_Higher_Order_Matching_2013_ICCV_paper.pdf | https://openaccess.thecvf.com/content_iccv_2013/papers/Arora_Higher_Order_Matching_2013_ICCV_paper.pdf | @InProceedings{Arora_2013_ICCV,author = {Arora, Chetan and Globerson, Amir},title = {Higher Order Matching for Consistent Multiple Target Tracking},booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},month = {December},year = {2013}} |
Super-resolution via Transform-Invariant Group-Sparse Regularization | Carlos Fernandez-Granda, Emmanuel J. Candès | We present a framework to super-resolve planar regions found in urban scenes and other man-made environments by taking into account their 3D geometry. Such regions have highly structured straight edges, but this prior is challenging to exploit due to deformations induced by the projection onto the imaging plane. Our me... | 2013/pdf/Fernandez-Granda_Super-resolution_via_Transform-Invariant_2013_ICCV_paper.pdf | https://openaccess.thecvf.com/content_iccv_2013/papers/Fernandez-Granda_Super-resolution_via_Transform-Invariant_2013_ICCV_paper.pdf | @InProceedings{Fernandez-Granda_2013_ICCV,author = {Fernandez-Granda, Carlos and Candès, Emmanuel J.},title = {Super-resolution via Transform-Invariant Group-Sparse Regularization},booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},month = {December},year = {2013}} |
Inferring "Dark Matter" and "Dark Energy" from Videos | Dan Xie, Sinisa Todorovic, Song-Chun Zhu | This paper presents an approach to localizing functional objects in surveillance videos without domain knowledge about semantic object classes that may appear in the scene. Functional objects do not have discriminative appearance and shape, but they affect behavior of people in the scene. For example, they "attract" pe... | 2013/pdf/Xie_Inferring_Dark_Matter_2013_ICCV_paper.pdf | https://openaccess.thecvf.com/content_iccv_2013/papers/Xie_Inferring_Dark_Matter_2013_ICCV_paper.pdf | @InProceedings{Xie_2013_ICCV,author = {Xie, Dan and Todorovic, Sinisa and Zhu, Song-Chun},title = {Inferring "Dark Matter" and "Dark Energy" from Videos},booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},month = {December},year = {2013}} |
Complementary Projection Hashing | Zhongming Jin, Yao Hu, Yue Lin, Debing Zhang, Shiding Lin, Deng Cai, Xuelong Li | Recently, hashing techniques have been widely applied to solve the approximate nearest neighbors search problem in many vision applications. Generally, these hashing approaches generate 2 c buckets, where c is the length of the hash code. A good hashing method should satisfy the following two requirements: 1) mapping t... | 2013/pdf/Jin_Complementary_Projection_Hashing_2013_ICCV_paper.pdf | https://openaccess.thecvf.com/content_iccv_2013/papers/Jin_Complementary_Projection_Hashing_2013_ICCV_paper.pdf | @InProceedings{Jin_2013_ICCV,author = {Jin, Zhongming and Hu, Yao and Lin, Yue and Zhang, Debing and Lin, Shiding and Cai, Deng and Li, Xuelong},title = {Complementary Projection Hashing},booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},month = {December},year = {2013}} |
Optimal Orthogonal Basis and Image Assimilation: Motion Modeling | Etienne Huot, Giuseppe Papari, Isabelle Herlin | This paper describes modeling and numerical computation of orthogonal bases, which are used to describe images and motion fields. Motion estimation from image data is then studied on subspaces spanned by these bases. A reduced model is obtained as the Galerkin projection on these subspaces of a physical model, based on... | 2013/pdf/Huot_Optimal_Orthogonal_Basis_2013_ICCV_paper.pdf | https://openaccess.thecvf.com/content_iccv_2013/papers/Huot_Optimal_Orthogonal_Basis_2013_ICCV_paper.pdf | @InProceedings{Huot_2013_ICCV,author = {Huot, Etienne and Papari, Giuseppe and Herlin, Isabelle},title = {Optimal Orthogonal Basis and Image Assimilation: Motion Modeling},booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},month = {December},year = {2013}} |
Detecting Avocados to Zucchinis: What Have We Done, and Where Are We Going? | Olga Russakovsky, Jia Deng, Zhiheng Huang, Alexander C. Berg, Li Fei-Fei | The growth of detection datasets and the multiple directions of object detection research provide both an unprecedented need and a great opportunity for a thorough evaluation of the current state of the field of categorical object detection. In this paper we strive to answer two key questions. First, where are we curre... | 2013/pdf/Russakovsky_Detecting_Avocados_to_2013_ICCV_paper.pdf | https://openaccess.thecvf.com/content_iccv_2013/papers/Russakovsky_Detecting_Avocados_to_2013_ICCV_paper.pdf | @InProceedings{Russakovsky_2013_ICCV,author = {Russakovsky, Olga and Deng, Jia and Huang, Zhiheng and Berg, Alexander C. and Fei-Fei, Li},title = {Detecting Avocados to Zucchinis: What Have We Done, and Where Are We Going?},booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},month =... |
Neighbor-to-Neighbor Search for Fast Coding of Feature Vectors | Nakamasa Inoue, Koichi Shinoda | Assigning a visual code to a low-level image descriptor, which we call code assignment, is the most computationally expensive part of image classification algorithms based on the bag of visual word (BoW) framework. This paper proposes a fast computation method, Neighbor-toNeighbor (NTN) search, for this code assignment... | 2013/pdf/Inoue_Neighbor-to-Neighbor_Search_for_2013_ICCV_paper.pdf | https://openaccess.thecvf.com/content_iccv_2013/papers/Inoue_Neighbor-to-Neighbor_Search_for_2013_ICCV_paper.pdf | @InProceedings{Inoue_2013_ICCV,author = {Inoue, Nakamasa and Shinoda, Koichi},title = {Neighbor-to-Neighbor Search for Fast Coding of Feature Vectors},booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},month = {December},year = {2013}} |
Find the Best Path: An Efficient and Accurate Classifier for Image Hierarchies | Min Sun, Wan Huang, Silvio Savarese | Many methods have been proposed to solve the image classification problem for a large number of categories. Among them, methods based on tree-based representations achieve good trade-off between accuracy and test time efficiency. While focusing on learning a tree-shaped hierarchy and the corresponding set of classifier... | 2013/pdf/Sun_Find_the_Best_2013_ICCV_paper.pdf | https://openaccess.thecvf.com/content_iccv_2013/papers/Sun_Find_the_Best_2013_ICCV_paper.pdf | @InProceedings{Sun_2013_ICCV,author = {Sun, Min and Huang, Wan and Savarese, Silvio},title = {Find the Best Path: An Efficient and Accurate Classifier for Image Hierarchies},booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},month = {December},year = {2013}} |
Flattening Supervoxel Hierarchies by the Uniform Entropy Slice | Chenliang Xu, Spencer Whitt, Jason J. Corso | Supervoxel hierarchies provide a rich multiscale decomposition of a given video suitable for subsequent processing in video analysis. The hierarchies are typically computed by an unsupervised process that is susceptible to undersegmentation at coarse levels and over-segmentation at fine levels, which make it a challeng... | 2013/pdf/Xu_Flattening_Supervoxel_Hierarchies_2013_ICCV_paper.pdf | https://openaccess.thecvf.com/content_iccv_2013/papers/Xu_Flattening_Supervoxel_Hierarchies_2013_ICCV_paper.pdf | @InProceedings{Xu_2013_ICCV,author = {Xu, Chenliang and Whitt, Spencer and Corso, Jason J.},title = {Flattening Supervoxel Hierarchies by the Uniform Entropy Slice},booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},month = {December},year = {2013}} |
Model Recommendation with Virtual Probes for Egocentric Hand Detection | Cheng Li, Kris M. Kitani | Egocentric cameras can be used to benefit such tasks as analyzing fine motor skills, recognizing gestures and learning about hand-object manipulation. To enable such technology, we believe that the hands must detected on the pixellevel to gain important information about the shape of the hands and fingers. We show that... | 2013/pdf/Li_Model_Recommendation_with_2013_ICCV_paper.pdf | https://openaccess.thecvf.com/content_iccv_2013/papers/Li_Model_Recommendation_with_2013_ICCV_paper.pdf | @InProceedings{Li_2013_ICCV,author = {Li, Cheng and Kitani, Kris M.},title = {Model Recommendation with Virtual Probes for Egocentric Hand Detection},booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},month = {December},year = {2013}} |
Video Motion for Every Visible Point | Susanna Ricco, Carlo Tomasi | Dense motion of image points over many video frames can provide important information about the world. However, occlusions and drift make it impossible to compute long motion paths by merely concatenating optical flow vectors between consecutive frames. Instead, we solve for entire paths directly, and flag the frames i... | 2013/pdf/Ricco_Video_Motion_for_2013_ICCV_paper.pdf | https://openaccess.thecvf.com/content_iccv_2013/papers/Ricco_Video_Motion_for_2013_ICCV_paper.pdf | @InProceedings{Ricco_2013_ICCV,author = {Ricco, Susanna and Tomasi, Carlo},title = {Video Motion for Every Visible Point},booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},month = {December},year = {2013}} |
Optical Flow via Locally Adaptive Fusion of Complementary Data Costs | Tae Hyun Kim, Hee Seok Lee, Kyoung Mu Lee | Many state-of-the-art optical flow estimation algorithms optimize the data and regularization terms to solve ill-posed problems. In this paper, in contrast to the conventional optical flow framework that uses a single or fixed data model, we study a novel framework that employs locally varying data term that adaptively... | 2013/pdf/Kim_Optical_Flow_via_2013_ICCV_paper.pdf | https://openaccess.thecvf.com/content_iccv_2013/papers/Kim_Optical_Flow_via_2013_ICCV_paper.pdf | @InProceedings{Kim_2013_ICCV,author = {Kim, Tae Hyun and Lee, Hee Seok and Lee, Kyoung Mu},title = {Optical Flow via Locally Adaptive Fusion of Complementary Data Costs},booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},month = {December},year = {2013}} |
A Unified Video Segmentation Benchmark: Annotation, Metrics and Analysis | Fabio Galasso, Naveen Shankar Nagaraja, Tatiana Jimenez Cardenas, Thomas Brox, Bernt Schiele | Video segmentation research is currently limited by the lack of a benchmark dataset that covers the large variety of subproblems appearing in video segmentation and that is large enough to avoid overfitting. Consequently, there is little analysis of video segmentation which generalizes across subtasks, and it is not ye... | 2013/pdf/Galasso_A_Unified_Video_2013_ICCV_paper.pdf | https://openaccess.thecvf.com/content_iccv_2013/papers/Galasso_A_Unified_Video_2013_ICCV_paper.pdf | @InProceedings{Galasso_2013_ICCV,author = {Galasso, Fabio and Nagaraja, Naveen Shankar and Cardenas, Tatiana Jimenez and Brox, Thomas and Schiele, Bernt},title = {A Unified Video Segmentation Benchmark: Annotation, Metrics and Analysis},booktitle = {Proceedings of the IEEE International Conference on Computer Vision (I... |
Camera Alignment Using Trajectory Intersections in Unsynchronized Videos | Thomas Kuo, Santhoshkumar Sunderrajan, B.S. Manjunath | This paper addresses the novel and challenging problem of aligning camera views that are unsynchronized by low and/or variable frame rates using object trajectories. Unlike existing trajectory-based alignment methods, our method does not require frame-to-frame synchronization. Instead, we propose using the intersection... | 2013/pdf/Kuo_Camera_Alignment_Using_2013_ICCV_paper.pdf | https://openaccess.thecvf.com/content_iccv_2013/papers/Kuo_Camera_Alignment_Using_2013_ICCV_paper.pdf | @InProceedings{Kuo_2013_ICCV,author = {Kuo, Thomas and Sunderrajan, Santhoshkumar and Manjunath, B.S.},title = {Camera Alignment Using Trajectory Intersections in Unsynchronized Videos},booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},month = {December},year = {2013}} |
Shortest Paths with Curvature and Torsion | Petter Strandmark, Johannes Ulen, Fredrik Kahl, Leo Grady | This paper describes a method of finding thin, elongated structures in images and volumes. We use shortest paths to minimize very general functionals of higher-order curve properties, such as curvature and torsion. Our globally optimal method uses line graphs and its runtime is polynomial in the size of the discretizat... | 2013/pdf/Strandmark_Shortest_Paths_with_2013_ICCV_paper.pdf | https://openaccess.thecvf.com/content_iccv_2013/papers/Strandmark_Shortest_Paths_with_2013_ICCV_paper.pdf | @InProceedings{Strandmark_2013_ICCV,author = {Strandmark, Petter and Ulen, Johannes and Kahl, Fredrik and Grady, Leo},title = {Shortest Paths with Curvature and Torsion},booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},month = {December},year = {2013}} |
Multi-view 3D Reconstruction from Uncalibrated Radially-Symmetric Cameras | Jae-Hak Kim, Yuchao Dai, Hongdong Li, Xin Du, Jonghyuk Kim | We present a new multi-view 3D Euclidean reconstruction method for arbitrary uncalibrated radially-symmetric cameras, which needs no calibration or any camera model parameters other than radial symmetry. It is built on the radial 1D camera model [25], a unified mathematical abstraction to different types of radially-sy... | 2013/pdf/Kim_Multi-view_3D_Reconstruction_2013_ICCV_paper.pdf | https://openaccess.thecvf.com/content_iccv_2013/papers/Kim_Multi-view_3D_Reconstruction_2013_ICCV_paper.pdf | @InProceedings{Kim_2013_ICCV,author = {Kim, Jae-Hak and Dai, Yuchao and Li, Hongdong and Du, Xin and Kim, Jonghyuk},title = {Multi-view 3D Reconstruction from Uncalibrated Radially-Symmetric Cameras},booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},month = {December},year = {2013... |
Illuminant Chromaticity from Image Sequences | Veronique Prinet, Dani Lischinski, Michael Werman | We estimate illuminant chromaticity from temporal sequences, for scenes illuminated by either one or two dominant illuminants. While there are many methods for illuminant estimation from a single image, few works so far have focused on videos, and even fewer on multiple light sources. Our aim is to leverage information... | 2013/pdf/Prinet_Illuminant_Chromaticity_from_2013_ICCV_paper.pdf | https://openaccess.thecvf.com/content_iccv_2013/papers/Prinet_Illuminant_Chromaticity_from_2013_ICCV_paper.pdf | @InProceedings{Prinet_2013_ICCV,author = {Prinet, Veronique and Lischinski, Dani and Werman, Michael},title = {Illuminant Chromaticity from Image Sequences},booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},month = {December},year = {2013}} |
Learning Maximum Margin Temporal Warping for Action Recognition | Jiang Wang, Ying Wu | Temporal misalignment and duration variation in video actions largely influence the performance of action recognition, but it is very difficult to specify effective temporal alignment on action sequences. To address this challenge, this paper proposes a novel discriminative learning-based temporal alignment method, cal... | 2013/pdf/Wang_Learning_Maximum_Margin_2013_ICCV_paper.pdf | https://openaccess.thecvf.com/content_iccv_2013/papers/Wang_Learning_Maximum_Margin_2013_ICCV_paper.pdf | @InProceedings{Wang_2013_ICCV,author = {Wang, Jiang and Wu, Ying},title = {Learning Maximum Margin Temporal Warping for Action Recognition},booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},month = {December},year = {2013}} |
Allocentric Pose Estimation | M. Jose Antonio, Luc De Raedt, Tinne Tuytelaars | The task of object pose estimation has been a challenge since the early days of computer vision. To estimate the pose (or viewpoint) of an object, people have mostly looked at object intrinsic features, such as shape or appearance. Surprisingly, informative features provided by other, external elements in the scene, ha... | 2013/pdf/Antonio_Allocentric_Pose_Estimation_2013_ICCV_paper.pdf | https://openaccess.thecvf.com/content_iccv_2013/papers/Antonio_Allocentric_Pose_Estimation_2013_ICCV_paper.pdf | @InProceedings{Antonio_2013_ICCV,author = {Antonio, M. Jose and De Raedt, Luc and Tuytelaars, Tinne},title = {Allocentric Pose Estimation},booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},month = {December},year = {2013}} |
The Interestingness of Images | Michael Gygli, Helmut Grabner, Hayko Riemenschneider, Fabian Nater, Luc Van Gool | We investigate human interest in photos. Based on our own and others' psychological experiments, we identify various cues for "interestingness", namely aesthetics, unusualness and general preferences. For the ranking of retrieved images, interestingness is more appropriate than cues proposed earlier. Interestingness is... | 2013/pdf/Gygli_The_Interestingness_of_2013_ICCV_paper.pdf | https://openaccess.thecvf.com/content_iccv_2013/papers/Gygli_The_Interestingness_of_2013_ICCV_paper.pdf | @InProceedings{Gygli_2013_ICCV,author = {Gygli, Michael and Grabner, Helmut and Riemenschneider, Hayko and Nater, Fabian and Van Gool, Luc},title = {The Interestingness of Images},booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},month = {December},year = {2013}} |
Rolling Shutter Stereo | Olivier Saurer, Kevin Koser, Jean-Yves Bouguet, Marc Pollefeys | A huge fraction of cameras used nowadays is based on CMOS sensors with a rolling shutter that exposes the image line by line. For dynamic scenes/cameras this introduces undesired effects like stretch, shear and wobble. It has been shown earlier that rotational shake induced rolling shutter effects in hand-held cell pho... | 2013/pdf/Saurer_Rolling_Shutter_Stereo_2013_ICCV_paper.pdf | https://openaccess.thecvf.com/content_iccv_2013/papers/Saurer_Rolling_Shutter_Stereo_2013_ICCV_paper.pdf | @InProceedings{Saurer_2013_ICCV,author = {Saurer, Olivier and Koser, Kevin and Bouguet, Jean-Yves and Pollefeys, Marc},title = {Rolling Shutter Stereo},booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},month = {December},year = {2013}} |
Slice Sampling Particle Belief Propagation | Oliver Muller, Michael Ying Yang, Bodo Rosenhahn | Inference in continuous label Markov random fields is a challenging task. We use particle belief propagation ( PBP ) for solving the inference problem in continuous label space. Sampling particles from the belief distribution is typically done by using Metropolis-Hastings ( MH ) Markov chain Monte Carlo ( MCMC ) method... | 2013/pdf/Muller_Slice_Sampling_Particle_2013_ICCV_paper.pdf | https://openaccess.thecvf.com/content_iccv_2013/papers/Muller_Slice_Sampling_Particle_2013_ICCV_paper.pdf | @InProceedings{Muller_2013_ICCV,author = {Muller, Oliver and Yang, Michael Ying and Rosenhahn, Bodo},title = {Slice Sampling Particle Belief Propagation},booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},month = {December},year = {2013}} |
Training Deformable Part Models with Decorrelated Features | Ross Girshick, Jitendra Malik | In this paper, we show how to train a deformable part model (DPM) fast--typically in less than 20 minutes, or four times faster than the current fastest method--while maintaining high average precision on the PASCAL VOC datasets. At the core of our approach is "latent LDA," a novel generalization of linear discriminant... | 2013/pdf/Girshick_Training_Deformable_Part_2013_ICCV_paper.pdf | https://openaccess.thecvf.com/content_iccv_2013/papers/Girshick_Training_Deformable_Part_2013_ICCV_paper.pdf | @InProceedings{Girshick_2013_ICCV,author = {Girshick, Ross and Malik, Jitendra},title = {Training Deformable Part Models with Decorrelated Features},booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},month = {December},year = {2013}} |
Fast Sparsity-Based Orthogonal Dictionary Learning for Image Restoration | Chenglong Bao, Jian-Feng Cai, Hui Ji | In recent years, how to learn a dictionary from input images for sparse modelling has been one very active topic in image processing and recognition. Most existing dictionary learning methods consider an over-complete dictionary, e.g. the K-SVD method. Often they require solving some minimization problem that is very c... | 2013/pdf/Bao_Fast_Sparsity-Based_Orthogonal_2013_ICCV_paper.pdf | https://openaccess.thecvf.com/content_iccv_2013/papers/Bao_Fast_Sparsity-Based_Orthogonal_2013_ICCV_paper.pdf | @InProceedings{Bao_2013_ICCV,author = {Bao, Chenglong and Cai, Jian-Feng and Ji, Hui},title = {Fast Sparsity-Based Orthogonal Dictionary Learning for Image Restoration},booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},month = {December},year = {2013}} |
Efficient Salient Region Detection with Soft Image Abstraction | Ming-Ming Cheng, Jonathan Warrell, Wen-Yan Lin, Shuai Zheng, Vibhav Vineet, Nigel Crook | Detecting visually salient regions in images is one of the fundamental problems in computer vision. We propose a novel method to decompose an image into large scale perceptually homogeneous elements for efficient salient region detection, using a soft image abstraction representation. By considering both appearance sim... | 2013/pdf/Cheng_Efficient_Salient_Region_2013_ICCV_paper.pdf | https://openaccess.thecvf.com/content_iccv_2013/papers/Cheng_Efficient_Salient_Region_2013_ICCV_paper.pdf | @InProceedings{Cheng_2013_ICCV,author = {Cheng, Ming-Ming and Warrell, Jonathan and Lin, Wen-Yan and Zheng, Shuai and Vineet, Vibhav and Crook, Nigel},title = {Efficient Salient Region Detection with Soft Image Abstraction},booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},month =... |
Video Segmentation by Tracking Many Figure-Ground Segments | Fuxin Li, Taeyoung Kim, Ahmad Humayun, David Tsai, James M. Rehg | We propose an unsupervised video segmentation approach by simultaneously tracking multiple holistic figureground segments. Segment tracks are initialized from a pool of segment proposals generated from a figure-ground segmentation algorithm. Then, online non-local appearance models are trained incrementally for each tr... | 2013/pdf/Li_Video_Segmentation_by_2013_ICCV_paper.pdf | https://openaccess.thecvf.com/content_iccv_2013/papers/Li_Video_Segmentation_by_2013_ICCV_paper.pdf | @InProceedings{Li_2013_ICCV,author = {Li, Fuxin and Kim, Taeyoung and Humayun, Ahmad and Tsai, David and Rehg, James M.},title = {Video Segmentation by Tracking Many Figure-Ground Segments},booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},month = {December},year = {2013}} |
The Moving Pose: An Efficient 3D Kinematics Descriptor for Low-Latency Action Recognition and Detection | Mihai Zanfir, Marius Leordeanu, Cristian Sminchisescu | Human action recognition under low observational latency is receiving a growing interest in computer vision due to rapidly developing technologies in human-robot interaction, computer gaming and surveillance. In this paper we propose a fast, simple, yet powerful non-parametric Moving Pose (MP) framework for low-latency... | 2013/pdf/Zanfir_The_Moving_Pose_2013_ICCV_paper.pdf | https://openaccess.thecvf.com/content_iccv_2013/papers/Zanfir_The_Moving_Pose_2013_ICCV_paper.pdf | @InProceedings{Zanfir_2013_ICCV,author = {Zanfir, Mihai and Leordeanu, Marius and Sminchisescu, Cristian},title = {The Moving Pose: An Efficient 3D Kinematics Descriptor for Low-Latency Action Recognition and Detection},booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},month = {De... |
Discriminatively Trained Templates for 3D Object Detection: A Real Time Scalable Approach | Reyes Rios-Cabrera, Tinne Tuytelaars | In this paper we propose a new method for detecting multiple specific 3D objects in real time. We start from the template-based approach based on the LINE2D/LINEMOD representation introduced recently by Hinterstoisser et al., yet extend it in two ways. First, we propose to learn the templates in a discriminative fashio... | 2013/pdf/Rios-Cabrera_Discriminatively_Trained_Templates_2013_ICCV_paper.pdf | https://openaccess.thecvf.com/content_iccv_2013/papers/Rios-Cabrera_Discriminatively_Trained_Templates_2013_ICCV_paper.pdf | @InProceedings{Rios-Cabrera_2013_ICCV,author = {Rios-Cabrera, Reyes and Tuytelaars, Tinne},title = {Discriminatively Trained Templates for 3D Object Detection: A Real Time Scalable Approach},booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},month = {December},year = {2013}} |
Bayesian 3D Tracking from Monocular Video | Ernesto Brau, Jinyan Guan, Kyle Simek, Luca Del Pero, Colin Reimer Dawson, Kobus Barnard | We develop a Bayesian modeling approach for tracking people in 3D from monocular video with unknown cameras. Modeling in 3D provides natural explanations for occlusions and smoothness discontinuities that result from projection, and allows priors on velocity and smoothness to be grounded in physical quantities: meters ... | 2013/pdf/Brau_Bayesian_3D_Tracking_2013_ICCV_paper.pdf | https://openaccess.thecvf.com/content_iccv_2013/papers/Brau_Bayesian_3D_Tracking_2013_ICCV_paper.pdf | @InProceedings{Brau_2013_ICCV,author = {Brau, Ernesto and Guan, Jinyan and Simek, Kyle and Del Pero, Luca and Dawson, Colin Reimer and Barnard, Kobus},title = {Bayesian 3D Tracking from Monocular Video},booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},month = {December},year = {2... |
Concurrent Action Detection with Structural Prediction | Ping Wei, Nanning Zheng, Yibiao Zhao, Song-Chun Zhu | Action recognition has often been posed as a classification problem, which assumes that a video sequence only have one action class label and different actions are independent. However, a single human body can perform multiple concurrent actions at the same time, and different actions interact with each other. This pap... | 2013/pdf/Wei_Concurrent_Action_Detection_2013_ICCV_paper.pdf | https://openaccess.thecvf.com/content_iccv_2013/papers/Wei_Concurrent_Action_Detection_2013_ICCV_paper.pdf | @InProceedings{Wei_2013_ICCV,author = {Wei, Ping and Zheng, Nanning and Zhao, Yibiao and Zhu, Song-Chun},title = {Concurrent Action Detection with Structural Prediction},booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},month = {December},year = {2013}} |
Learning a Dictionary of Shape Epitomes with Applications to Image Labeling | Liang-Chieh Chen, George Papandreou, Alan L. Yuille | The first main contribution of this paper is a novel method for representing images based on a dictionary of shape epitomes. These shape epitomes represent the local edge structure of the image and include hidden variables to encode shift and rotations. They are learnt in an unsupervised manner from groundtruth edges. ... | 2013/pdf/Chen_Learning_a_Dictionary_2013_ICCV_paper.pdf | https://openaccess.thecvf.com/content_iccv_2013/papers/Chen_Learning_a_Dictionary_2013_ICCV_paper.pdf | @InProceedings{Chen_2013_ICCV,author = {Chen, Liang-Chieh and Papandreou, George and Yuille, Alan L.},title = {Learning a Dictionary of Shape Epitomes with Applications to Image Labeling},booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},month = {December},year = {2013}} |
Online Motion Segmentation Using Dynamic Label Propagation | Ali Elqursh, Ahmed Elgammal | The vast majority of work on motion segmentation adopts the affine camera model due to its simplicity. Under the affine model, the motion segmentation problem becomes that of subspace separation. Due to this assumption, such methods are mainly offline and exhibit poor performance when the assumption is not satisfied. T... | 2013/pdf/Elqursh_Online_Motion_Segmentation_2013_ICCV_paper.pdf | https://openaccess.thecvf.com/content_iccv_2013/papers/Elqursh_Online_Motion_Segmentation_2013_ICCV_paper.pdf | @InProceedings{Elqursh_2013_ICCV,author = {Elqursh, Ali and Elgammal, Ahmed},title = {Online Motion Segmentation Using Dynamic Label Propagation},booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},month = {December},year = {2013}} |
Strong Appearance and Expressive Spatial Models for Human Pose Estimation | Leonid Pishchulin, Mykhaylo Andriluka, Peter Gehler, Bernt Schiele | Typical approaches to articulated pose estimation combine spatial modelling of the human body with appearance modelling of body parts. This paper aims to push the state-of-the-art in articulated pose estimation in two ways. First we explore various types of appearance representations aiming to substantially improve the... | 2013/pdf/Pishchulin_Strong_Appearance_and_2013_ICCV_paper.pdf | https://openaccess.thecvf.com/content_iccv_2013/papers/Pishchulin_Strong_Appearance_and_2013_ICCV_paper.pdf | @InProceedings{Pishchulin_2013_ICCV,author = {Pishchulin, Leonid and Andriluka, Mykhaylo and Gehler, Peter and Schiele, Bernt},title = {Strong Appearance and Expressive Spatial Models for Human Pose Estimation},booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},month = {December},y... |
Directed Acyclic Graph Kernels for Action Recognition | Ling Wang, Hichem Sahbi | One of the trends of action recognition consists in extracting and comparing mid-level features which encode visual and motion aspects of objects into scenes. However, when scenes contain high-level semantic actions with many interacting parts, these mid-level features are not sufficient to capture high level structure... | 2013/pdf/Wang_Directed_Acyclic_Graph_2013_ICCV_paper.pdf | https://openaccess.thecvf.com/content_iccv_2013/papers/Wang_Directed_Acyclic_Graph_2013_ICCV_paper.pdf | @InProceedings{Wang_2013_ICCV,author = {Wang, Ling and Sahbi, Hichem},title = {Directed Acyclic Graph Kernels for Action Recognition},booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},month = {December},year = {2013}} |
Sequential Bayesian Model Update under Structured Scene Prior for Semantic Road Scenes Labeling | Evgeny Levinkov, Mario Fritz | Semantic road labeling is a key component of systems that aim at assisted or even autonomous driving. Considering that such systems continuously operate in the realworld, unforeseen conditions not represented in any conceivable training procedure are likely to occur on a regular basis. In order to equip systems with th... | 2013/pdf/Levinkov_Sequential_Bayesian_Model_2013_ICCV_paper.pdf | https://openaccess.thecvf.com/content_iccv_2013/papers/Levinkov_Sequential_Bayesian_Model_2013_ICCV_paper.pdf | @InProceedings{Levinkov_2013_ICCV,author = {Levinkov, Evgeny and Fritz, Mario},title = {Sequential Bayesian Model Update under Structured Scene Prior for Semantic Road Scenes Labeling},booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},month = {December},year = {2013}} |
Revisiting Example Dependent Cost-Sensitive Learning with Decision Trees | Oisin Mac Aodha, Gabriel J. Brostow | Typical approaches to classification treat class labels as disjoint. For each training example, it is assumed that there is only one class label that correctly describes it, and that all other labels are equally bad. We know however, that good and bad labels are too simplistic in many scenarios, hurting accuracy. In th... | 2013/pdf/Aodha_Revisiting_Example_Dependent_2013_ICCV_paper.pdf | https://openaccess.thecvf.com/content_iccv_2013/papers/Aodha_Revisiting_Example_Dependent_2013_ICCV_paper.pdf | @InProceedings{Aodha_2013_ICCV,author = {Mac Aodha, Oisin and Brostow, Gabriel J.},title = {Revisiting Example Dependent Cost-Sensitive Learning with Decision Trees},booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},month = {December},year = {2013}} |
Example-Based Facade Texture Synthesis | Dengxin Dai, Hayko Riemenschneider, Gerhard Schmitt, Luc Van Gool | There is an increased interest in the efficient creation of city models, be it virtual or as-built. We present a method for synthesizing complex, photo-realistic facade images, from a single example. After parsing the example image into its semantic components, a tiling for it is generated. Novel tilings can then be cr... | 2013/pdf/Dai_Example-Based_Facade_Texture_2013_ICCV_paper.pdf | https://openaccess.thecvf.com/content_iccv_2013/papers/Dai_Example-Based_Facade_Texture_2013_ICCV_paper.pdf | @InProceedings{Dai_2013_ICCV,author = {Dai, Dengxin and Riemenschneider, Hayko and Schmitt, Gerhard and Van Gool, Luc},title = {Example-Based Facade Texture Synthesis},booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},month = {December},year = {2013}} |
On the Mean Curvature Flow on Graphs with Applications in Image and Manifold Processing | Abdallah El Chakik, Abderrahim Elmoataz, Ahcene Sadi | In this paper, we propose an adaptation and transcription of the mean curvature level set equation on a general discrete domain (weighted graphs with arbitrary topology). We introduce the perimeters on graph using difference operators and define the curvature as the first variation of these perimeters. Our proposed app... | 2013/pdf/El_Chakik_On_the_Mean_2013_ICCV_paper.pdf | https://openaccess.thecvf.com/content_iccv_2013/papers/El_Chakik_On_the_Mean_2013_ICCV_paper.pdf | @InProceedings{Chakik_2013_ICCV,author = {El Chakik, Abdallah and Elmoataz, Abderrahim and Sadi, Ahcene},title = {On the Mean Curvature Flow on Graphs with Applications in Image and Manifold Processing},booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},month = {December},year = {2... |
Matching Dry to Wet Materials | Yaser Yacoob | When a translucent liquid is spilled over a rough surface it causes a significant change in the visual appearance of the surface. This wetting phenomenon is easily detected by humans, and an early model was devised by the physicist Andres Jonas Angstrom nearly a century ago. In this paper we investigate the problem of ... | 2013/pdf/Yacoob_Matching_Dry_to_2013_ICCV_paper.pdf | https://openaccess.thecvf.com/content_iccv_2013/papers/Yacoob_Matching_Dry_to_2013_ICCV_paper.pdf | @InProceedings{Yacoob_2013_ICCV,author = {Yacoob, Yaser},title = {Matching Dry to Wet Materials},booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},month = {December},year = {2013}} |
SYM-FISH: A Symmetry-Aware Flip Invariant Sketch Histogram Shape Descriptor | Xiaochun Cao, Hua Zhang, Si Liu, Xiaojie Guo, Liang Lin | Recently, studies on sketch, such as sketch retrieval and sketch classification, have received more attention in the computer vision community. One of its most fundamental and essential problems is how to more effectively describe a sketch image. Many existing descriptors, such as shape context, have achieved great suc... | 2013/pdf/Cao_SYM-FISH_A_Symmetry-Aware_2013_ICCV_paper.pdf | https://openaccess.thecvf.com/content_iccv_2013/papers/Cao_SYM-FISH_A_Symmetry-Aware_2013_ICCV_paper.pdf | @InProceedings{Cao_2013_ICCV,author = {Cao, Xiaochun and Zhang, Hua and Liu, Si and Guo, Xiaojie and Lin, Liang},title = {SYM-FISH: A Symmetry-Aware Flip Invariant Sketch Histogram Shape Descriptor},booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},month = {December},year = {2013}... |
Robust Feature Set Matching for Partial Face Recognition | Renliang Weng, Jiwen Lu, Junlin Hu, Gao Yang, Yap-Peng Tan | Over the past two decades, a number of face recognition methods have been proposed in the literature. Most of them use holistic face images to recognize people. However, human faces are easily occluded by other objects in many real-world scenarios and we have to recognize the person of interest from his/her partial fac... | 2013/pdf/Weng_Robust_Feature_Set_2013_ICCV_paper.pdf | https://openaccess.thecvf.com/content_iccv_2013/papers/Weng_Robust_Feature_Set_2013_ICCV_paper.pdf | @InProceedings{Weng_2013_ICCV,author = {Weng, Renliang and Lu, Jiwen and Hu, Junlin and Yang, Gao and Tan, Yap-Peng},title = {Robust Feature Set Matching for Partial Face Recognition},booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},month = {December},year = {2013}} |
Active Visual Recognition with Expertise Estimation in Crowdsourcing | Chengjiang Long, Gang Hua, Ashish Kapoor | We present a noise resilient probabilistic model for active learning of a Gaussian process classifier from crowds, i.e., a set of noisy labelers. It explicitly models both the overall label noises and the expertise level of each individual labeler in two levels of flip models. Expectation propagation is adopted for eff... | 2013/pdf/Long_Active_Visual_Recognition_2013_ICCV_paper.pdf | https://openaccess.thecvf.com/content_iccv_2013/papers/Long_Active_Visual_Recognition_2013_ICCV_paper.pdf | @InProceedings{Long_2013_ICCV,author = {Long, Chengjiang and Hua, Gang and Kapoor, Ashish},title = {Active Visual Recognition with Expertise Estimation in Crowdsourcing},booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},month = {December},year = {2013}} |
Attribute Pivots for Guiding Relevance Feedback in Image Search | Adriana Kovashka, Kristen Grauman | In interactive image search, a user iteratively refines his results by giving feedback on exemplar images. Active selection methods aim to elicit useful feedback, but traditional approaches suffer from expensive selection criteria and cannot predict informativeness reliably due to the imprecision of relevance feedback.... | 2013/pdf/Kovashka_Attribute_Pivots_for_2013_ICCV_paper.pdf | https://openaccess.thecvf.com/content_iccv_2013/papers/Kovashka_Attribute_Pivots_for_2013_ICCV_paper.pdf | @InProceedings{Kovashka_2013_ICCV,author = {Kovashka, Adriana and Grauman, Kristen},title = {Attribute Pivots for Guiding Relevance Feedback in Image Search},booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},month = {December},year = {2013}} |
Cross-View Action Recognition over Heterogeneous Feature Spaces | Xinxiao Wu, Han Wang, Cuiwei Liu, Yunde Jia | In cross-view action recognition, "what you saw" in one view is different from "what you recognize" in another view. The data distribution even the feature space can change from one view to another due to the appearance and motion of actions drastically vary across different views. In this paper, we address the problem... | 2013/pdf/Wu_Cross-View_Action_Recognition_2013_ICCV_paper.pdf | https://openaccess.thecvf.com/content_iccv_2013/papers/Wu_Cross-View_Action_Recognition_2013_ICCV_paper.pdf | @InProceedings{Wu_2013_ICCV,author = {Wu, Xinxiao and Wang, Han and Liu, Cuiwei and Jia, Yunde},title = {Cross-View Action Recognition over Heterogeneous Feature Spaces},booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},month = {December},year = {2013}} |
Building Part-Based Object Detectors via 3D Geometry | Abhinav Shrivastava, Abhinav Gupta | This paper proposes a novel part-based representation for modeling object categories. Our representation combines the effectiveness of deformable part-based models with the richness of geometric representation by defining parts based on consistent underlying 3D geometry. Our key hypothesis is that while the appearance ... | 2013/pdf/Shrivastava_Building_Part-Based_Object_2013_ICCV_paper.pdf | https://openaccess.thecvf.com/content_iccv_2013/papers/Shrivastava_Building_Part-Based_Object_2013_ICCV_paper.pdf | @InProceedings{Shrivastava_2013_ICCV,author = {Shrivastava, Abhinav and Gupta, Abhinav},title = {Building Part-Based Object Detectors via 3D Geometry},booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},month = {December},year = {2013}} |
Initialization-Insensitive Visual Tracking through Voting with Salient Local Features | Kwang Moo Yi, Hawook Jeong, Byeongho Heo, Hyung Jin Chang, Jin Young Choi | In this paper we propose an object tracking method in case of inaccurate initializations. To track objects accurately in such situation, the proposed method uses "motion saliency" and "descriptor saliency" of local features and performs tracking based on generalized Hough transform (GHT). The proposed motion saliency o... | 2013/pdf/Yi_Initialization-Insensitive_Visual_Tracking_2013_ICCV_paper.pdf | https://openaccess.thecvf.com/content_iccv_2013/papers/Yi_Initialization-Insensitive_Visual_Tracking_2013_ICCV_paper.pdf | @InProceedings{Yi_2013_ICCV,author = {Yi, Kwang Moo and Jeong, Hawook and Heo, Byeongho and Chang, Hyung Jin and Choi, Jin Young},title = {Initialization-Insensitive Visual Tracking through Voting with Salient Local Features},booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},month... |
Refractive Structure-from-Motion on Underwater Images | Anne Jordt-Sedlazeck, Reinhard Koch | In underwater environments, cameras need to be confined in an underwater housing, viewing the scene through a piece of glass. In case of flat port underwater housings, light rays entering the camera housing are refracted twice, due to different medium densities of water, glass, and air. This causes the usually linear r... | 2013/pdf/Jordt-Sedlazeck_Refractive_Structure-from-Motion_on_2013_ICCV_paper.pdf | https://openaccess.thecvf.com/content_iccv_2013/papers/Jordt-Sedlazeck_Refractive_Structure-from-Motion_on_2013_ICCV_paper.pdf | @InProceedings{Jordt-Sedlazeck_2013_ICCV,author = {Jordt-Sedlazeck, Anne and Koch, Reinhard},title = {Refractive Structure-from-Motion on Underwater Images},booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},month = {December},year = {2013}} |
Semi-dense Visual Odometry for a Monocular Camera | Jakob Engel, Jurgen Sturm, Daniel Cremers | We propose a fundamentally novel approach to real-time visual odometry for a monocular camera. It allows to benefit from the simplicity and accuracy of dense tracking which does not depend on visual features while running in real-time on a CPU. The key idea is to continuously estimate a semi-dense inverse depth map for... | 2013/pdf/Engel_Semi-dense_Visual_Odometry_2013_ICCV_paper.pdf | https://openaccess.thecvf.com/content_iccv_2013/papers/Engel_Semi-dense_Visual_Odometry_2013_ICCV_paper.pdf | @InProceedings{Engel_2013_ICCV,author = {Engel, Jakob and Sturm, Jurgen and Cremers, Daniel},title = {Semi-dense Visual Odometry for a Monocular Camera},booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},month = {December},year = {2013}} |
A Deformable Mixture Parsing Model with Parselets | Jian Dong, Qiang Chen, Wei Xia, Zhongyang Huang, Shuicheng Yan | In this work, we address the problem of human parsing, namely partitioning the human body into semantic regions, by using the novel Parselet representation. Previous works often consider solving the problem of human pose estimation as the prerequisite of human parsing. We argue that these approaches cannot obtain optim... | 2013/pdf/Dong_A_Deformable_Mixture_2013_ICCV_paper.pdf | https://openaccess.thecvf.com/content_iccv_2013/papers/Dong_A_Deformable_Mixture_2013_ICCV_paper.pdf | @InProceedings{Dong_2013_ICCV,author = {Dong, Jian and Chen, Qiang and Xia, Wei and Huang, Zhongyang and Yan, Shuicheng},title = {A Deformable Mixture Parsing Model with Parselets},booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},month = {December},year = {2013}} |
Characterizing Layouts of Outdoor Scenes Using Spatial Topic Processes | Dahua Lin, Jianxiong Xiao | In this paper, we develop a generative model to describe the layouts of outdoor scenes the spatial configuration of regions. Specifically, the layout of an image is represented as a composite of regions, each associated with a semantic topic. At the heart of this model is a novel stochastic process called Spatial Topic... | 2013/pdf/Lin_Characterizing_Layouts_of_2013_ICCV_paper.pdf | https://openaccess.thecvf.com/content_iccv_2013/papers/Lin_Characterizing_Layouts_of_2013_ICCV_paper.pdf | @InProceedings{Lin_2013_ICCV,author = {Lin, Dahua and Xiao, Jianxiong},title = {Characterizing Layouts of Outdoor Scenes Using Spatial Topic Processes},booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},month = {December},year = {2013}} |
Dictionary Learning and Sparse Coding on Grassmann Manifolds: An Extrinsic Solution | Mehrtash Harandi, Conrad Sanderson, Chunhua Shen, Brian C. Lovell | Recent advances in computer vision and machine learning suggest that a wide range of problems can be addressed more appropriately by considering non-Euclidean geometry. In this paper we explore sparse dictionary learning over the space of linear subspaces, which form Riemannian structures known as Grassmann manifolds. ... | 2013/pdf/Harandi_Dictionary_Learning_and_2013_ICCV_paper.pdf | https://openaccess.thecvf.com/content_iccv_2013/papers/Harandi_Dictionary_Learning_and_2013_ICCV_paper.pdf | @InProceedings{Harandi_2013_ICCV,author = {Harandi, Mehrtash and Sanderson, Conrad and Shen, Chunhua and Lovell, Brian C.},title = {Dictionary Learning and Sparse Coding on Grassmann Manifolds: An Extrinsic Solution},booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},month = {Decem... |
Real-Time Articulated Hand Pose Estimation Using Semi-supervised Transductive Regression Forests | Danhang Tang, Tsz-Ho Yu, Tae-Kyun Kim | This paper presents the first semi-supervised transductive algorithm for real-time articulated hand pose estimation. Noisy data and occlusions are the major challenges of articulated hand pose estimation. In addition, the discrepancies among realistic and synthetic pose data undermine the performances of existing appro... | 2013/pdf/Tang_Real-Time_Articulated_Hand_2013_ICCV_paper.pdf | https://openaccess.thecvf.com/content_iccv_2013/papers/Tang_Real-Time_Articulated_Hand_2013_ICCV_paper.pdf | @InProceedings{Tang_2013_ICCV,author = {Tang, Danhang and Yu, Tsz-Ho and Kim, Tae-Kyun},title = {Real-Time Articulated Hand Pose Estimation Using Semi-supervised Transductive Regression Forests},booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},month = {December},year = {2013}} |
Face Recognition Using Face Patch Networks | Chaochao Lu, Deli Zhao, Xiaoou Tang | When face images are taken in the wild, the large variations in facial pose, illumination, and expression make face recognition challenging. The most fundamental problem for face recognition is to measure the similarity between faces. The traditional measurements such as various mathematical norms, Hausdorff distance, ... | 2013/pdf/Lu_Face_Recognition_Using_2013_ICCV_paper.pdf | https://openaccess.thecvf.com/content_iccv_2013/papers/Lu_Face_Recognition_Using_2013_ICCV_paper.pdf | @InProceedings{Lu_2013_ICCV,author = {Lu, Chaochao and Zhao, Deli and Tang, Xiaoou},title = {Face Recognition Using Face Patch Networks},booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},month = {December},year = {2013}} |
Minimal Basis Facility Location for Subspace Segmentation | Choon-Meng Lee, Loong-Fah Cheong | In contrast to the current motion segmentation paradigm that assumes independence between the motion subspaces, we approach the motion segmentation problem by seeking the parsimonious basis set that can represent the data. Our formulation explicitly looks for the overlap between subspaces in order to achieve a minimal ... | 2013/pdf/Lee_Minimal_Basis_Facility_2013_ICCV_paper.pdf | https://openaccess.thecvf.com/content_iccv_2013/papers/Lee_Minimal_Basis_Facility_2013_ICCV_paper.pdf | @InProceedings{Lee_2013_ICCV,author = {Lee, Choon-Meng and Cheong, Loong-Fah},title = {Minimal Basis Facility Location for Subspace Segmentation},booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},month = {December},year = {2013}} |
Depth from Combining Defocus and Correspondence Using Light-Field Cameras | Michael W. Tao, Sunil Hadap, Jitendra Malik, Ravi Ramamoorthi | Light-field cameras have recently become available to the consumer market. An array of micro-lenses captures enough information that one can refocus images after acquisition, as well as shift one's viewpoint within the subapertures of the main lens, effectively obtaining multiple views. Thus, depth cues from both defoc... | 2013/pdf/Tao_Depth_from_Combining_2013_ICCV_paper.pdf | https://openaccess.thecvf.com/content_iccv_2013/papers/Tao_Depth_from_Combining_2013_ICCV_paper.pdf | @InProceedings{Tao_2013_ICCV,author = {Tao, Michael W. and Hadap, Sunil and Malik, Jitendra and Ramamoorthi, Ravi},title = {Depth from Combining Defocus and Correspondence Using Light-Field Cameras},booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},month = {December},year = {2013}... |
Unsupervised Random Forest Manifold Alignment for Lipreading | Yuru Pei, Tae-Kyun Kim, Hongbin Zha | Lipreading from visual channels remains a challenging topic considering the various speaking characteristics. In this paper, we address an efficient lipreading approach by investigating the unsupervised random forest manifold alignment (RFMA). The density random forest is employed to estimate affinity of patch trajecto... | 2013/pdf/Pei_Unsupervised_Random_Forest_2013_ICCV_paper.pdf | https://openaccess.thecvf.com/content_iccv_2013/papers/Pei_Unsupervised_Random_Forest_2013_ICCV_paper.pdf | @InProceedings{Pei_2013_ICCV,author = {Pei, Yuru and Kim, Tae-Kyun and Zha, Hongbin},title = {Unsupervised Random Forest Manifold Alignment for Lipreading},booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},month = {December},year = {2013}} |
Visual Reranking through Weakly Supervised Multi-graph Learning | Cheng Deng, Rongrong Ji, Wei Liu, Dacheng Tao, Xinbo Gao | Visual reranking has been widely deployed to refine the quality of conventional content-based image retrieval engines. The current trend lies in employing a crowd of retrieved results stemming from multiple feature modalities to boost the overall performance of visual reranking. However, a major challenge pertaining to... | 2013/pdf/Deng_Visual_Reranking_through_2013_ICCV_paper.pdf | https://openaccess.thecvf.com/content_iccv_2013/papers/Deng_Visual_Reranking_through_2013_ICCV_paper.pdf | @InProceedings{Deng_2013_ICCV,author = {Deng, Cheng and Ji, Rongrong and Liu, Wei and Tao, Dacheng and Gao, Xinbo},title = {Visual Reranking through Weakly Supervised Multi-graph Learning},booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},month = {December},year = {2013}} |
A Novel Earth Mover's Distance Methodology for Image Matching with Gaussian Mixture Models | Peihua Li, Qilong Wang, Lei Zhang | The similarity or distance measure between Gaussian mixture models (GMMs) plays a crucial role in contentbased image matching. Though the Earth Mover's Distance (EMD) has shown its advantages in matching histogram features, its potentials in matching GMMs remain unclear and are not fully explored. To address this probl... | 2013/pdf/Li_A_Novel_Earth_2013_ICCV_paper.pdf | https://openaccess.thecvf.com/content_iccv_2013/papers/Li_A_Novel_Earth_2013_ICCV_paper.pdf | @InProceedings{Li_2013_ICCV,author = {Li, Peihua and Wang, Qilong and Zhang, Lei},title = {A Novel Earth Mover's Distance Methodology for Image Matching with Gaussian Mixture Models},booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},month = {December},year = {2013}} |
Transfer Feature Learning with Joint Distribution Adaptation | Mingsheng Long, Jianmin Wang, Guiguang Ding, Jiaguang Sun, Philip S. Yu | Transfer learning is established as an effective technology in computer vision for leveraging rich labeled data in the source domain to build an accurate classifier for the target domain. However, most prior methods have not simultaneously reduced the difference in both the marginal distribution and conditional distrib... | 2013/pdf/Long_Transfer_Feature_Learning_2013_ICCV_paper.pdf | https://openaccess.thecvf.com/content_iccv_2013/papers/Long_Transfer_Feature_Learning_2013_ICCV_paper.pdf | @InProceedings{Long_2013_ICCV,author = {Long, Mingsheng and Wang, Jianmin and Ding, Guiguang and Sun, Jiaguang and Yu, Philip S.},title = {Transfer Feature Learning with Joint Distribution Adaptation},booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},month = {December},year = {201... |
Volumetric Semantic Segmentation Using Pyramid Context Features | Jonathan T. Barron, Mark D. Biggin, Pablo Arbelaez, David W. Knowles, Soile V.E. Keranen, Jitendra Malik | We present an algorithm for the per-voxel semantic segmentation of a three-dimensional volume. At the core of our algorithm is a novel "pyramid context" feature, a descriptive representation designed such that exact per-voxel linear classification can be made extremely efficient. This feature not only allows for effici... | 2013/pdf/Barron_Volumetric_Semantic_Segmentation_2013_ICCV_paper.pdf | https://openaccess.thecvf.com/content_iccv_2013/papers/Barron_Volumetric_Semantic_Segmentation_2013_ICCV_paper.pdf | @InProceedings{Barron_2013_ICCV,author = {Barron, Jonathan T. and Biggin, Mark D. and Arbelaez, Pablo and Knowles, David W. and Keranen, Soile V.E. and Malik, Jitendra},title = {Volumetric Semantic Segmentation Using Pyramid Context Features},booktitle = {Proceedings of the IEEE International Conference on Computer Vis... |
Proportion Priors for Image Sequence Segmentation | Claudia Nieuwenhuis, Evgeny Strekalovskiy, Daniel Cremers | We propose a convex multilabel framework for image sequence segmentation which allows to impose proportion priors on object parts in order to preserve their size ratios across multiple images. The key idea is that for strongly deformable objects such as a gymnast the size ratio of respective regions (head versus torso,... | 2013/pdf/Nieuwenhuis_Proportion_Priors_for_2013_ICCV_paper.pdf | https://openaccess.thecvf.com/content_iccv_2013/papers/Nieuwenhuis_Proportion_Priors_for_2013_ICCV_paper.pdf | @InProceedings{Nieuwenhuis_2013_ICCV,author = {Nieuwenhuis, Claudia and Strekalovskiy, Evgeny and Cremers, Daniel},title = {Proportion Priors for Image Sequence Segmentation},booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},month = {December},year = {2013}} |
Global Fusion of Relative Motions for Robust, Accurate and Scalable Structure from Motion | Pierre Moulon, Pascal Monasse, Renaud Marlet | Multi-view structure from motion (SfM) estimates the position and orientation of pictures in a common 3D coordinate frame. When views are treated incrementally, this external calibration can be subject to drift, contrary to global methods that distribute residual errors evenly. We propose a new global calibration appro... | 2013/pdf/Moulon_Global_Fusion_of_2013_ICCV_paper.pdf | https://openaccess.thecvf.com/content_iccv_2013/papers/Moulon_Global_Fusion_of_2013_ICCV_paper.pdf | @InProceedings{Moulon_2013_ICCV,author = {Moulon, Pierre and Monasse, Pascal and Marlet, Renaud},title = {Global Fusion of Relative Motions for Robust, Accurate and Scalable Structure from Motion},booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},month = {December},year = {2013}} |
Deterministic Fitting of Multiple Structures Using Iterative MaxFS with Inlier Scale Estimation | Kwang Hee Lee, Sang Wook Lee | We present an efficient deterministic hypothesis generation algorithm for robust fitting of multiple structures based on the maximum feasible subsystem (MaxFS) framework. Despite its advantage, a global optimization method such as MaxFS has two main limitations for geometric model fitting. First, its performance is muc... | 2013/pdf/Lee_Deterministic_Fitting_of_2013_ICCV_paper.pdf | https://openaccess.thecvf.com/content_iccv_2013/papers/Lee_Deterministic_Fitting_of_2013_ICCV_paper.pdf | @InProceedings{Lee_2013_ICCV,author = {Lee, Kwang Hee and Lee, Sang Wook},title = {Deterministic Fitting of Multiple Structures Using Iterative MaxFS with Inlier Scale Estimation},booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},month = {December},year = {2013}} |
From Large Scale Image Categorization to Entry-Level Categories | Vicente Ordonez, Jia Deng, Yejin Choi, Alexander C. Berg, Tamara L. Berg | Entry level categories the labels people will use to name an object were originally defined and studied by psychologists in the 1980s. In this paper we study entrylevel categories at a large scale and learn the first models for predicting entry-level categories for images. Our models combine visual recognition predicti... | 2013/pdf/Ordonez_From_Large_Scale_2013_ICCV_paper.pdf | https://openaccess.thecvf.com/content_iccv_2013/papers/Ordonez_From_Large_Scale_2013_ICCV_paper.pdf | @InProceedings{Ordonez_2013_ICCV,author = {Ordonez, Vicente and Deng, Jia and Choi, Yejin and Berg, Alexander C. and Berg, Tamara L.},title = {From Large Scale Image Categorization to Entry-Level Categories},booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},month = {December},year... |
Complex 3D General Object Reconstruction from Line Drawings | Linjie Yang, Jianzhuang Liu, Xiaoou Tang | An important topic in computer vision is 3D object reconstruction from line drawings. Previous algorithms either deal with simple general objects or are limited to only manifolds (a subset of solids). In this paper, we propose a novel approach to 3D reconstruction of complex general objects, including manifolds, non-ma... | 2013/pdf/Yang_Complex_3D_General_2013_ICCV_paper.pdf | https://openaccess.thecvf.com/content_iccv_2013/papers/Yang_Complex_3D_General_2013_ICCV_paper.pdf | @InProceedings{Yang_2013_ICCV,author = {Yang, Linjie and Liu, Jianzhuang and Tang, Xiaoou},title = {Complex 3D General Object Reconstruction from Line Drawings},booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},month = {December},year = {2013}} |
Efficient and Robust Large-Scale Rotation Averaging | Avishek Chatterjee, Venu Madhav Govindu | In this paper we address the problem of robust and efficient averaging of relative 3D rotations. Apart from having an interesting geometric structure, robust rotation averaging addresses the need for a good initialization for largescale optimization used in structure-from-motion pipelines. Such pipelines often use unst... | 2013/pdf/Chatterjee_Efficient_and_Robust_2013_ICCV_paper.pdf | https://openaccess.thecvf.com/content_iccv_2013/papers/Chatterjee_Efficient_and_Robust_2013_ICCV_paper.pdf | @InProceedings{Chatterjee_2013_ICCV,author = {Chatterjee, Avishek and Govindu, Venu Madhav},title = {Efficient and Robust Large-Scale Rotation Averaging},booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},month = {December},year = {2013}} |
Automatic Registration of RGB-D Scans via Salient Directions | Bernhard Zeisl, Kevin Koser, Marc Pollefeys | We address the problem of wide-baseline registration of RGB-D data, such as photo-textured laser scans without any artificial targets or prediction on the relative motion. Our approach allows to fully automatically register scans taken in GPS-denied environments such as urban canyon, industrial facilities or even indoo... | 2013/pdf/Zeisl_Automatic_Registration_of_2013_ICCV_paper.pdf | https://openaccess.thecvf.com/content_iccv_2013/papers/Zeisl_Automatic_Registration_of_2013_ICCV_paper.pdf | @InProceedings{Zeisl_2013_ICCV,author = {Zeisl, Bernhard and Koser, Kevin and Pollefeys, Marc},title = {Automatic Registration of RGB-D Scans via Salient Directions},booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},month = {December},year = {2013}} |
Video Co-segmentation for Meaningful Action Extraction | Jiaming Guo, Zhuwen Li, Loong-Fah Cheong, Steven Zhiying Zhou | Given a pair of videos having a common action, our goal is to simultaneously segment this pair of videos to extract this common action. As a preprocessing step, we first remove background trajectories by a motion-based figureground segmentation. To remove the remaining background and those extraneous actions, we propos... | 2013/pdf/Guo_Video_Co-segmentation_for_2013_ICCV_paper.pdf | https://openaccess.thecvf.com/content_iccv_2013/papers/Guo_Video_Co-segmentation_for_2013_ICCV_paper.pdf | @InProceedings{Guo_2013_ICCV,author = {Guo, Jiaming and Li, Zhuwen and Cheong, Loong-Fah and Zhou, Steven Zhiying},title = {Video Co-segmentation for Meaningful Action Extraction},booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},month = {December},year = {2013}} |
Coherent Motion Segmentation in Moving Camera Videos Using Optical Flow Orientations | Manjunath Narayana, Allen Hanson, Erik Learned-Miller | In moving camera videos, motion segmentation is commonly performed using the image plane motion of pixels, or optical flow. However, objects that are at different depths from the camera can exhibit different optical flows even if they share the same real-world motion. This can cause a depth-dependent segmentation of th... | 2013/pdf/Narayana_Coherent_Motion_Segmentation_2013_ICCV_paper.pdf | https://openaccess.thecvf.com/content_iccv_2013/papers/Narayana_Coherent_Motion_Segmentation_2013_ICCV_paper.pdf | @InProceedings{Narayana_2013_ICCV,author = {Narayana, Manjunath and Hanson, Allen and Learned-Miller, Erik},title = {Coherent Motion Segmentation in Moving Camera Videos Using Optical Flow Orientations},booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},month = {December},year = {2... |
Live Metric 3D Reconstruction on Mobile Phones | Petri Tanskanen, Kalin Kolev, Lorenz Meier, Federico Camposeco, Olivier Saurer, Marc Pollefeys | In this paper, we propose a complete on-device 3D reconstruction pipeline for mobile monocular hand-held devices, which generates dense 3D models with absolute scale on-site while simultaneously supplying the user with real-time interactive feedback. The method fills a gap in current cloud-based mobile reconstruction s... | 2013/pdf/Tanskanen_Live_Metric_3D_2013_ICCV_paper.pdf | https://openaccess.thecvf.com/content_iccv_2013/papers/Tanskanen_Live_Metric_3D_2013_ICCV_paper.pdf | @InProceedings{Tanskanen_2013_ICCV,author = {Tanskanen, Petri and Kolev, Kalin and Meier, Lorenz and Camposeco, Federico and Saurer, Olivier and Pollefeys, Marc},title = {Live Metric 3D Reconstruction on Mobile Phones},booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},month = {Dec... |
Dynamic Structured Model Selection | David Weiss, Benjamin Sapp, Ben Taskar | In many cases, the predictive power of structured models for for complex vision tasks is limited by a trade-off between the expressiveness and the computational tractability of the model. However, choosing this trade-off statically a priori is suboptimal, as images and videos in different settings vary tremendously in ... | 2013/pdf/Weiss_Dynamic_Structured_Model_2013_ICCV_paper.pdf | https://openaccess.thecvf.com/content_iccv_2013/papers/Weiss_Dynamic_Structured_Model_2013_ICCV_paper.pdf | @InProceedings{Weiss_2013_ICCV,author = {Weiss, David and Sapp, Benjamin and Taskar, Ben},title = {Dynamic Structured Model Selection},booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},month = {December},year = {2013}} |
Ensemble Projection for Semi-supervised Image Classification | Dengxin Dai, Luc Van Gool | This paper investigates the problem of semi-supervised classification. Unlike previous methods to regularize classifying boundaries with unlabeled data, our method learns a new image representation from all available data (labeled and unlabeled) and performs plain supervised learning with the new feature. In particular... | 2013/pdf/Dai_Ensemble_Projection_for_2013_ICCV_paper.pdf | https://openaccess.thecvf.com/content_iccv_2013/papers/Dai_Ensemble_Projection_for_2013_ICCV_paper.pdf | @InProceedings{Dai_2013_ICCV,author = {Dai, Dengxin and Van Gool, Luc},title = {Ensemble Projection for Semi-supervised Image Classification},booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},month = {December},year = {2013}} |
Saliency Detection in Large Point Sets | Elizabeth Shtrom, George Leifman, Ayellet Tal | While saliency in images has been extensively studied in recent years, there is very little work on saliency of point sets. This is despite the fact that point sets and range data are becoming ever more widespread and have myriad applications. In this paper we present an algorithm for detecting the salient points in un... | 2013/pdf/Shtrom_Saliency_Detection_in_2013_ICCV_paper.pdf | https://openaccess.thecvf.com/content_iccv_2013/papers/Shtrom_Saliency_Detection_in_2013_ICCV_paper.pdf | @InProceedings{Shtrom_2013_ICCV,author = {Shtrom, Elizabeth and Leifman, George and Tal, Ayellet},title = {Saliency Detection in Large Point Sets},booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},month = {December},year = {2013}} |
Joint Segmentation and Pose Tracking of Human in Natural Videos | Taegyu Lim, Seunghoon Hong, Bohyung Han, Joon Hee Han | We propose an on-line algorithm to extract a human by foreground/background segmentation and estimate pose of the human from the videos captured by moving cameras. We claim that a virtuous cycle can be created by appropriate interactions between the two modules to solve individual problems. This joint estimation proble... | 2013/pdf/Lim_Joint_Segmentation_and_2013_ICCV_paper.pdf | https://openaccess.thecvf.com/content_iccv_2013/papers/Lim_Joint_Segmentation_and_2013_ICCV_paper.pdf | @InProceedings{Lim_2013_ICCV,author = {Lim, Taegyu and Hong, Seunghoon and Han, Bohyung and Han, Joon Hee},title = {Joint Segmentation and Pose Tracking of Human in Natural Videos},booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},month = {December},year = {2013}} |
Segmentation Driven Object Detection with Fisher Vectors | Ramazan Gokberk Cinbis, Jakob Verbeek, Cordelia Schmid | We present an object detection system based on the Fisher vector (FV) image representation computed over SIFT and color descriptors. For computational and storage efficiency, we use a recent segmentation-based method to generate class-independent object detection hypotheses, in combination with data compression techniq... | 2013/pdf/Cinbis_Segmentation_Driven_Object_2013_ICCV_paper.pdf | https://openaccess.thecvf.com/content_iccv_2013/papers/Cinbis_Segmentation_Driven_Object_2013_ICCV_paper.pdf | @InProceedings{Cinbis_2013_ICCV,author = {Cinbis, Ramazan Gokberk and Verbeek, Jakob and Schmid, Cordelia},title = {Segmentation Driven Object Detection with Fisher Vectors},booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},month = {December},year = {2013}} |
NYC3DCars: A Dataset of 3D Vehicles in Geographic Context | Kevin Matzen, Noah Snavely | Geometry and geography can play an important role in recognition tasks in computer vision. To aid in studying connections between geometry and recognition, we introduce NYC3DCars, a rich dataset for vehicle detection in urban scenes built from Internet photos drawn from the wild, focused on densely trafficked areas of ... | 2013/pdf/Matzen_NYC3DCars_A_Dataset_2013_ICCV_paper.pdf | https://openaccess.thecvf.com/content_iccv_2013/papers/Matzen_NYC3DCars_A_Dataset_2013_ICCV_paper.pdf | @InProceedings{Matzen_2013_ICCV,author = {Matzen, Kevin and Snavely, Noah},title = {NYC3DCars: A Dataset of 3D Vehicles in Geographic Context},booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},month = {December},year = {2013}} |
Robust Trajectory Clustering for Motion Segmentation | Feng Shi, Zhong Zhou, Jiangjian Xiao, Wei Wu | Due to occlusions and objects' non-rigid deformation in the scene, the obtained motion trajectories from common trackers may contain a number of missing or mis-associated entries. To cluster such corrupted point based trajectories into multiple motions is still a hard problem. In this paper, we present an approach that... | 2013/pdf/Shi_Robust_Trajectory_Clustering_2013_ICCV_paper.pdf | https://openaccess.thecvf.com/content_iccv_2013/papers/Shi_Robust_Trajectory_Clustering_2013_ICCV_paper.pdf | @InProceedings{Shi_2013_ICCV,author = {Shi, Feng and Zhou, Zhong and Xiao, Jiangjian and Wu, Wei},title = {Robust Trajectory Clustering for Motion Segmentation},booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},month = {December},year = {2013}} |
Active Learning of an Action Detector from Untrimmed Videos | Sunil Bandla, Kristen Grauman | Collecting and annotating videos of realistic human actions is tedious, yet critical for training action recognition systems. We propose a method to actively request the most useful video annotations among a large set of unlabeled videos. Predicting the utility of annotating unlabeled video is not trivial, since any gi... | 2013/pdf/Bandla_Active_Learning_of_2013_ICCV_paper.pdf | https://openaccess.thecvf.com/content_iccv_2013/papers/Bandla_Active_Learning_of_2013_ICCV_paper.pdf | @InProceedings{Bandla_2013_ICCV,author = {Bandla, Sunil and Grauman, Kristen},title = {Active Learning of an Action Detector from Untrimmed Videos},booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},month = {December},year = {2013}} |
YouTube2Text: Recognizing and Describing Arbitrary Activities Using Semantic Hierarchies and Zero-Shot Recognition | Sergio Guadarrama, Niveda Krishnamoorthy, Girish Malkarnenkar, Subhashini Venugopalan, Raymond Mooney, Trevor Darrell, Kate Saenko | Despite a recent push towards large-scale object recognition, activity recognition remains limited to narrow domains and small vocabularies of actions. In this paper, we tackle the challenge of recognizing and describing activities "in-the-wild". We present a solution that takes a short video clip and outputs a brief s... | 2013/pdf/Guadarrama_YouTube2Text_Recognizing_and_2013_ICCV_paper.pdf | https://openaccess.thecvf.com/content_iccv_2013/papers/Guadarrama_YouTube2Text_Recognizing_and_2013_ICCV_paper.pdf | @InProceedings{Guadarrama_2013_ICCV,author = {Guadarrama, Sergio and Krishnamoorthy, Niveda and Malkarnenkar, Girish and Venugopalan, Subhashini and Mooney, Raymond and Darrell, Trevor and Saenko, Kate},title = {YouTube2Text: Recognizing and Describing Arbitrary Activities Using Semantic Hierarchies and Zero-Shot Recog... |
Manifold Based Face Synthesis from Sparse Samples | Hongteng Xu, Hongyuan Zha | Data sparsity has been a thorny issue for manifold-based image synthesis, and in this paper we address this critical problem by leveraging ideas from transfer learning. Specifically, we propose methods based on generating auxiliary data in the form of synthetic samples using transformations of the original sparse sampl... | 2013/pdf/Xu_Manifold_Based_Face_2013_ICCV_paper.pdf | https://openaccess.thecvf.com/content_iccv_2013/papers/Xu_Manifold_Based_Face_2013_ICCV_paper.pdf | @InProceedings{Xu_2013_ICCV,author = {Xu, Hongteng and Zha, Hongyuan},title = {Manifold Based Face Synthesis from Sparse Samples},booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},month = {December},year = {2013}} |
Like Father, Like Son: Facial Expression Dynamics for Kinship Verification | Hamdi Dibeklioglu, Albert Ali Salah, Theo Gevers | Kinship verification from facial appearance is a difficult problem. This paper explores the possibility of employing facial expression dynamics in this problem. By using features that describe facial dynamics and spatio-temporal appearance over smile expressions, we show that it is possible to improve the state of the ... | 2013/pdf/Dibeklioglu_Like_Father_Like_2013_ICCV_paper.pdf | https://openaccess.thecvf.com/content_iccv_2013/papers/Dibeklioglu_Like_Father_Like_2013_ICCV_paper.pdf | @InProceedings{Dibeklioglu_2013_ICCV,author = {Dibeklioglu, Hamdi and Salah, Albert Ali and Gevers, Theo},title = {Like Father, Like Son: Facial Expression Dynamics for Kinship Verification},booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},month = {December},year = {2013}} |
Nonparametric Blind Super-resolution | Tomer Michaeli, Michal Irani | Super resolution (SR) algorithms typically assume that the blur kernel is known (either the Point Spread Function 'PSF' of the camera, or some default low-pass filter, e.g. a Gaussian). However, the performance of SR methods significantly deteriorates when the assumed blur kernel deviates from the true one. We propose ... | 2013/pdf/Michaeli_Nonparametric_Blind_Super-resolution_2013_ICCV_paper.pdf | https://openaccess.thecvf.com/content_iccv_2013/papers/Michaeli_Nonparametric_Blind_Super-resolution_2013_ICCV_paper.pdf | @InProceedings{Michaeli_2013_ICCV,author = {Michaeli, Tomer and Irani, Michal},title = {Nonparametric Blind Super-resolution},booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},month = {December},year = {2013}} |
Toward Guaranteed Illumination Models for Non-convex Objects | Yuqian Zhang, Cun Mu, Han-Wen Kuo, John Wright | Illumination variation remains a central challenge in object detection and recognition. Existing analyses of illumination variation typically pertain to convex, Lambertian objects, and guarantee quality of approximation in an average case sense. We show that it is possible to build models for the set of images across i... | 2013/pdf/Zhang_Toward_Guaranteed_Illumination_2013_ICCV_paper.pdf | https://openaccess.thecvf.com/content_iccv_2013/papers/Zhang_Toward_Guaranteed_Illumination_2013_ICCV_paper.pdf | @InProceedings{Zhang_2013_ICCV,author = {Zhang, Yuqian and Mu, Cun and Kuo, Han-Wen and Wright, John},title = {Toward Guaranteed Illumination Models for Non-convex Objects},booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},month = {December},year = {2013}} |
Pedestrian Parsing via Deep Decompositional Network | Ping Luo, Xiaogang Wang, Xiaoou Tang | We propose a new Deep Decompositional Network (DDN) for parsing pedestrian images into semantic regions, such as hair, head, body, arms, and legs, where the pedestrians can be heavily occluded. Unlike existing methods based on template matching or Bayesian inference, our approach directly maps low-level visual features... | 2013/pdf/Luo_Pedestrian_Parsing_via_2013_ICCV_paper.pdf | https://openaccess.thecvf.com/content_iccv_2013/papers/Luo_Pedestrian_Parsing_via_2013_ICCV_paper.pdf | @InProceedings{Luo_2013_ICCV,author = {Luo, Ping and Wang, Xiaogang and Tang, Xiaoou},title = {Pedestrian Parsing via Deep Decompositional Network},booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},month = {December},year = {2013}} |
Large-Scale Video Hashing via Structure Learning | Guangnan Ye, Dong Liu, Jun Wang, Shih-Fu Chang | Recently, learning based hashing methods have become popular for indexing large-scale media data. Hashing methods map high-dimensional features to compact binary codes that are efficient to match and robust in preserving original similarity. However, most of the existing hashing methods treat videos as a simple aggrega... | 2013/pdf/Ye_Large-Scale_Video_Hashing_2013_ICCV_paper.pdf | https://openaccess.thecvf.com/content_iccv_2013/papers/Ye_Large-Scale_Video_Hashing_2013_ICCV_paper.pdf | @InProceedings{Ye_2013_ICCV,author = {Ye, Guangnan and Liu, Dong and Wang, Jun and Chang, Shih-Fu},title = {Large-Scale Video Hashing via Structure Learning},booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},month = {December},year = {2013}} |
Rectangling Stereographic Projection for Wide-Angle Image Visualization | Che-Han Chang, Min-Chun Hu, Wen-Huang Cheng, Yung-Yu Chuang | This paper proposes a new projection model for mapping a hemisphere to a plane. Such a model can be useful for viewing wide-angle images. Our model consists of two steps. In the first step, the hemisphere is projected onto a swung surface constructed by a circular profile and a rounded rectangular trajectory. The secon... | 2013/pdf/Chang_Rectangling_Stereographic_Projection_2013_ICCV_paper.pdf | https://openaccess.thecvf.com/content_iccv_2013/papers/Chang_Rectangling_Stereographic_Projection_2013_ICCV_paper.pdf | @InProceedings{Chang_2013_ICCV,author = {Chang, Che-Han and Hu, Min-Chun and Cheng, Wen-Huang and Chuang, Yung-Yu},title = {Rectangling Stereographic Projection for Wide-Angle Image Visualization},booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},month = {December},year = {2013}} |
Hidden Factor Analysis for Age Invariant Face Recognition | Dihong Gong, Zhifeng Li, Dahua Lin, Jianzhuang Liu, Xiaoou Tang | Age invariant face recognition has received increasing attention due to its great potential in real world applications. In spite of the great progress in face recognition techniques, reliably recognizing faces across ages remains a difficult task. The facial appearance of a person changes substantially over time, resul... | 2013/pdf/Gong_Hidden_Factor_Analysis_2013_ICCV_paper.pdf | https://openaccess.thecvf.com/content_iccv_2013/papers/Gong_Hidden_Factor_Analysis_2013_ICCV_paper.pdf | @InProceedings{Gong_2013_ICCV,author = {Gong, Dihong and Li, Zhifeng and Lin, Dahua and Liu, Jianzhuang and Tang, Xiaoou},title = {Hidden Factor Analysis for Age Invariant Face Recognition},booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},month = {December},year = {2013}} |
Salient Region Detection by UFO: Uniqueness, Focusness and Objectness | Peng Jiang, Haibin Ling, Jingyi Yu, Jingliang Peng | The goal of saliency detection is to locate important pixels or regions in an image which attract humans' visual attention the most. This is a fundamental task whose output may serve as the basis for further computer vision tasks like segmentation, resizing, tracking and so forth. In this paper we propose a novel salie... | 2013/pdf/Jiang_Salient_Region_Detection_2013_ICCV_paper.pdf | https://openaccess.thecvf.com/content_iccv_2013/papers/Jiang_Salient_Region_Detection_2013_ICCV_paper.pdf | @InProceedings{Jiang_2013_ICCV,author = {Jiang, Peng and Ling, Haibin and Yu, Jingyi and Peng, Jingliang},title = {Salient Region Detection by UFO: Uniqueness, Focusness and Objectness},booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},month = {December},year = {2013}} |
Revisiting the PnP Problem: A Fast, General and Optimal Solution | Yinqiang Zheng, Yubin Kuang, Shigeki Sugimoto, Kalle Astrom, Masatoshi Okutomi | In this paper, we revisit the classical perspective-n-point (PnP) problem, and propose the first non-iterative O(n) solution that is fast, generally applicable and globally optimal. Our basic idea is to formulate the PnP problem into a functional minimization problem and retrieve all its stationary points by using the ... | 2013/pdf/Zheng_Revisiting_the_PnP_2013_ICCV_paper.pdf | https://openaccess.thecvf.com/content_iccv_2013/papers/Zheng_Revisiting_the_PnP_2013_ICCV_paper.pdf | @InProceedings{Zheng_2013_ICCV,author = {Zheng, Yinqiang and Kuang, Yubin and Sugimoto, Shigeki and Astrom, Kalle and Okutomi, Masatoshi},title = {Revisiting the PnP Problem: A Fast, General and Optimal Solution},booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},month = {December}... |
Randomized Ensemble Tracking | Qinxun Bai, Zheng Wu, Stan Sclaroff, Margrit Betke, Camille Monnier | We propose a randomized ensemble algorithm to model the time-varying appearance of an object for visual tracking. In contrast with previous online methods for updating classifier ensembles in tracking-by-detection, the weight vector that combines weak classifiers is treated as a random variable and the posterior distri... | 2013/pdf/Bai_Randomized_Ensemble_Tracking_2013_ICCV_paper.pdf | https://openaccess.thecvf.com/content_iccv_2013/papers/Bai_Randomized_Ensemble_Tracking_2013_ICCV_paper.pdf | @InProceedings{Bai_2013_ICCV,author = {Bai, Qinxun and Wu, Zheng and Sclaroff, Stan and Betke, Margrit and Monnier, Camille},title = {Randomized Ensemble Tracking},booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},month = {December},year = {2013}} |
Pose-Configurable Generic Tracking of Elongated Objects | Daniel Wesierski, Patrick Horain | Elongated objects have various shapes and can shift, rotate, change scale, and be rigid or deform by flexing, articulating, and vibrating, with examples as varied as a glass bottle, a robotic arm, a surgical suture, a finger pair, a tram, and a guitar string. This generally makes tracking of poses of elongated objects ... | 2013/pdf/Wesierski_Pose-Configurable_Generic_Tracking_2013_ICCV_paper.pdf | https://openaccess.thecvf.com/content_iccv_2013/papers/Wesierski_Pose-Configurable_Generic_Tracking_2013_ICCV_paper.pdf | @InProceedings{Wesierski_2013_ICCV,author = {Wesierski, Daniel and Horain, Patrick},title = {Pose-Configurable Generic Tracking of Elongated Objects},booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},month = {December},year = {2013}} |
Heterogeneous Auto-similarities of Characteristics (HASC): Exploiting Relational Information for Classification | Marco San Biagio, Marco Crocco, Marco Cristani, Samuele Martelli, Vittorio Murino | Capturing the essential characteristics of visual objects by considering how their features are inter-related is a recent philosophy of object classification. In this paper, we embed this principle in a novel image descriptor, dubbed Heterogeneous Auto-Similarities of Characteristics (HASC). HASC is applied to heteroge... | 2013/pdf/San_Biagio_Heterogeneous_Auto-similarities_of_2013_ICCV_paper.pdf | https://openaccess.thecvf.com/content_iccv_2013/papers/San_Biagio_Heterogeneous_Auto-similarities_of_2013_ICCV_paper.pdf | @InProceedings{Biagio_2013_ICCV,author = {Biagio, Marco San and Crocco, Marco and Cristani, Marco and Martelli, Samuele and Murino, Vittorio},title = {Heterogeneous Auto-similarities of Characteristics (HASC): Exploiting Relational Information for Classification},booktitle = {Proceedings of the IEEE International Confe... |
Motion-Aware KNN Laplacian for Video Matting | Dingzeyu Li, Qifeng Chen, Chi-Keung Tang | This paper demonstrates how the nonlocal principle benefits video matting via the KNN Laplacian, which comes with a straightforward implementation using motionaware K nearest neighbors. In hindsight, the fundamental problem to solve in video matting is to produce spatiotemporally coherent clusters of moving foreground ... | 2013/pdf/Li_Motion-Aware_KNN_Laplacian_2013_ICCV_paper.pdf | https://openaccess.thecvf.com/content_iccv_2013/papers/Li_Motion-Aware_KNN_Laplacian_2013_ICCV_paper.pdf | @InProceedings{Li_2013_ICCV,author = {Li, Dingzeyu and Chen, Qifeng and Tang, Chi-Keung},title = {Motion-Aware KNN Laplacian for Video Matting},booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},month = {December},year = {2013}} |
A Learning-Based Approach to Reduce JPEG Artifacts in Image Matting | Inchang Choi, Sunyeong Kim, Michael S. Brown, Yu-Wing Tai | Single image matting techniques assume high-quality input images. The vast majority of images on the web and in personal photo collections are encoded using JPEG compression. JPEG images exhibit quantization artifacts that adversely affect the performance of matting algorithms. To address this situation, we propose a l... | 2013/pdf/Choi_A_Learning-Based_Approach_2013_ICCV_paper.pdf | https://openaccess.thecvf.com/content_iccv_2013/papers/Choi_A_Learning-Based_Approach_2013_ICCV_paper.pdf | @InProceedings{Choi_2013_ICCV,author = {Choi, Inchang and Kim, Sunyeong and Brown, Michael S. and Tai, Yu-Wing},title = {A Learning-Based Approach to Reduce JPEG Artifacts in Image Matting},booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},month = {December},year = {2013}} |
Content-Aware Rotation | Kaiming He, Huiwen Chang, Jian Sun | We present an image editing tool called Content-Aware Rotation. Casually shot photos can appear tilted, and are often corrected by rotation and cropping. This trivial solution may remove desired content and hurt image integrity. Instead of doing rigid rotation, we propose a warping method that creates the perception of... | 2013/pdf/He_Content-Aware_Rotation_2013_ICCV_paper.pdf | https://openaccess.thecvf.com/content_iccv_2013/papers/He_Content-Aware_Rotation_2013_ICCV_paper.pdf | @InProceedings{He_2013_ICCV,author = {He, Kaiming and Chang, Huiwen and Sun, Jian},title = {Content-Aware Rotation},booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},month = {December},year = {2013}} |
Markov Network-Based Unified Classifier for Face Identification | Wonjun Hwang, Kyungshik Roh, Junmo Kim | We propose a novel unifying framework using a Markov network to learn the relationship between multiple classifiers in face recognition. We assume that we have several complementary classifiers and assign observation nodes to the features of a query image and hidden nodes to the features of gallery images. We connect e... | 2013/pdf/Hwang_Markov_Network-Based_Unified_2013_ICCV_paper.pdf | https://openaccess.thecvf.com/content_iccv_2013/papers/Hwang_Markov_Network-Based_Unified_2013_ICCV_paper.pdf | @InProceedings{Hwang_2013_ICCV,author = {Hwang, Wonjun and Roh, Kyungshik and Kim, Junmo},title = {Markov Network-Based Unified Classifier for Face Identification},booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},month = {December},year = {2013}} |
Shape Index Descriptors Applied to Texture-Based Galaxy Analysis | Kim Steenstrup Pedersen, Kristoffer Stensbo-Smidt, Andrew Zirm, Christian Igel | A texture descriptor based on the shape index and the accompanying curvedness measure is proposed, and it is evaluated for the automated analysis of astronomical image data. A representative sample of images of low-redshift galaxies from the Sloan Digital Sky Survey (SDSS) serves as a testbed. The goal of applying text... | 2013/pdf/Pedersen_Shape_Index_Descriptors_2013_ICCV_paper.pdf | https://openaccess.thecvf.com/content_iccv_2013/papers/Pedersen_Shape_Index_Descriptors_2013_ICCV_paper.pdf | @InProceedings{Pedersen_2013_ICCV,author = {Pedersen, Kim Steenstrup and Stensbo-Smidt, Kristoffer and Zirm, Andrew and Igel, Christian},title = {Shape Index Descriptors Applied to Texture-Based Galaxy Analysis},booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},month = {December},... |
Progressive Multigrid Eigensolvers for Multiscale Spectral Segmentation | Michael Maire, Stella X. Yu | We reexamine the role of multiscale cues in image segmentation using an architecture that constructs a globally coherent scale-space output representation. This characteristic is in contrast to many existing works on bottom-up segmentation, which prematurely compress information into a single scale. The architecture is... | 2013/pdf/Maire_Progressive_Multigrid_Eigensolvers_2013_ICCV_paper.pdf | https://openaccess.thecvf.com/content_iccv_2013/papers/Maire_Progressive_Multigrid_Eigensolvers_2013_ICCV_paper.pdf | @InProceedings{Maire_2013_ICCV,author = {Maire, Michael and Yu, Stella X.},title = {Progressive Multigrid Eigensolvers for Multiscale Spectral Segmentation},booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},month = {December},year = {2013}} |
Perspective Motion Segmentation via Collaborative Clustering | Zhuwen Li, Jiaming Guo, Loong-Fah Cheong, Steven Zhiying Zhou | This paper addresses real-world challenges in the motion segmentation problem, including perspective effects, missing data, and unknown number of motions. It first formulates the 3-D motion segmentation from two perspective views as a subspace clustering problem, utilizing the epipolar constraint of an image pair. It t... | 2013/pdf/Li_Perspective_Motion_Segmentation_2013_ICCV_paper.pdf | https://openaccess.thecvf.com/content_iccv_2013/papers/Li_Perspective_Motion_Segmentation_2013_ICCV_paper.pdf | @InProceedings{Li_2013_ICCV,author = {Li, Zhuwen and Guo, Jiaming and Cheong, Loong-Fah and Zhou, Steven Zhiying},title = {Perspective Motion Segmentation via Collaborative Clustering},booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},month = {December},year = {2013}} |
Learning Hash Codes with Listwise Supervision | Jun Wang, Wei Liu, Andy X. Sun, Yu-Gang Jiang | Hashing techniques have been intensively investigated in the design of highly efficient search engines for largescale computer vision applications. Compared with prior approximate nearest neighbor search approaches like treebased indexing, hashing-based search schemes have prominent advantages in terms of both storage ... | 2013/pdf/Wang_Learning_Hash_Codes_2013_ICCV_paper.pdf | https://openaccess.thecvf.com/content_iccv_2013/papers/Wang_Learning_Hash_Codes_2013_ICCV_paper.pdf | @InProceedings{Wang_2013_ICCV,author = {Wang, Jun and Liu, Wei and Sun, Andy X. and Jiang, Yu-Gang},title = {Learning Hash Codes with Listwise Supervision},booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},month = {December},year = {2013}} |
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