title stringlengths 6 154 | authors stringlengths 5 1.96k | abstract stringlengths 392 2.86k ⌀ | pdf_path stringlengths 40 155 | bibtex stringlengths 213 2.79k | download_url stringlengths 87 201 |
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Prostate Segmentation in CT Images via Spatial-Constrained Transductive Lasso | Yinghuan Shi, Shu Liao, Yaozong Gao, Daoqiang Zhang, Yang Gao, Dinggang Shen | Accurate prostate segmentation in CT images is a significant yet challenging task for image guided radiotherapy. In this paper, a novel semi-automated prostate segmentation method is presented. Specifically, to segment the prostate in the current treatment image, the physician first takes a few seconds to manually spec... | 2013/Shi_Prostate_Segmentation_in_2013_CVPR_paper.pdf | @InProceedings{Shi_2013_ICCV_Workshops,author = {Shi, Yinghuan and Liao, Shu and Gao, Yaozong and Zhang, Daoqiang and Gao, Yang and Shen, Dinggang},title = {Prostate Segmentation in CT Images via Spatial-Constrained Transductive Lasso},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recog... | https://openaccess.thecvf.com/content_cvpr_2013/papers/Shi_Prostate_Segmentation_in_2013_CVPR_paper.pdf |
Non-rigid Structure from Motion with Diffusion Maps Prior | Lili Tao, Bogdan J. Matuszewski | 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... | 2013/Tao_Non-rigid_Structure_from_2013_CVPR_paper.pdf | @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}} | https://openaccess.thecvf.com/content_cvpr_2013/papers/Tao_Non-rigid_Structure_from_2013_CVPR_paper.pdf |
Optimized Pedestrian Detection for Multiple and Occluded People | Sitapa Rujikietgumjorn, Robert T. Collins | We present a quadratic unconstrained binary optimization (QUBO) framework for reasoning about multiple object detections with spatial overlaps. The method maximizes an objective function composed of unary detection confidence scores and pairwise overlap constraints to determine which overlapping detections should be su... | 2013/Rujikietgumjorn_Optimized_Pedestrian_Detection_2013_CVPR_paper.pdf | @InProceedings{Rujikietgumjorn_2013_ICCV_Workshops,author = {Rujikietgumjorn, Sitapa and Collins, Robert T.},title = {Optimized Pedestrian Detection for Multiple and Occluded People},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | https://openaccess.thecvf.com/content_cvpr_2013/papers/Rujikietgumjorn_Optimized_Pedestrian_Detection_2013_CVPR_paper.pdf |
Rotation, Scaling and Deformation Invariant Scattering for Texture Discrimination | Laurent Sifre, Stephane Mallat | An affine invariant representation is constructed with a cascade of invariants, which preserves information for classification. A joint translation and rotation invariant representation of image patches is calculated with a scattering transform. It is implemented with a deep convolution network, which computes successi... | 2013/Sifre_Rotation_Scaling_and_2013_CVPR_paper.pdf | @InProceedings{Sifre_2013_ICCV_Workshops,author = {Sifre, Laurent and Mallat, Stephane},title = {Rotation, Scaling and Deformation Invariant Scattering for Texture Discrimination},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | https://openaccess.thecvf.com/content_cvpr_2013/papers/Sifre_Rotation_Scaling_and_2013_CVPR_paper.pdf |
A Minimum Error Vanishing Point Detection Approach for Uncalibrated Monocular Images of Man-Made Environments | Yiliang Xu, Sangmin Oh, Anthony Hoogs | We present a novel vanishing point detection algorithm for uncalibrated monocular images of man-made environments. We advance the state-of-the-art by a new model of measurement error in the line segment extraction and minimizing its impact on the vanishing point estimation. Our contribution is twofold: 1) Beyond existi... | 2013/Xu_A_Minimum_Error_2013_CVPR_paper.pdf | @InProceedings{Xu_2013_ICCV_Workshops,author = {Xu, Yiliang and Oh, Sangmin and Hoogs, Anthony},title = {A Minimum Error Vanishing Point Detection Approach for Uncalibrated Monocular Images of Man-Made Environments},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month... | https://openaccess.thecvf.com/content_cvpr_2013/papers/Xu_A_Minimum_Error_2013_CVPR_paper.pdf |
Poselet Key-Framing: A Model for Human Activity Recognition | Michalis Raptis, Leonid Sigal | In this paper, we develop a new model for recognizing human actions. An action is modeled as a very sparse sequence of temporally local discriminative keyframes collections of partial key-poses of the actor(s), depicting key states in the action sequence. We cast the learning of keyframes in a max-margin discriminative... | 2013/Raptis_Poselet_Key-Framing_A_2013_CVPR_paper.pdf | @InProceedings{Raptis_2013_ICCV_Workshops,author = {Raptis, Michalis and Sigal, Leonid},title = {Poselet Key-Framing: A Model for Human Activity Recognition},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | https://openaccess.thecvf.com/content_cvpr_2013/papers/Raptis_Poselet_Key-Framing_A_2013_CVPR_paper.pdf |
Probabilistic Label Trees for Efficient Large Scale Image Classification | Baoyuan Liu, Fereshteh Sadeghi, Marshall Tappen, Ohad Shamir, Ce Liu | Large-scale recognition problems with thousands of classes pose a particular challenge because applying the classifier requires more computation as the number of classes grows. The label tree model integrates classification with the traversal of the tree so that complexity grows logarithmically. In this paper, we show ... | 2013/Liu_Probabilistic_Label_Trees_2013_CVPR_paper.pdf | @InProceedings{Liu_2013_ICCV_Workshops,author = {Liu, Baoyuan and Sadeghi, Fereshteh and Tappen, Marshall and Shamir, Ohad and Liu, Ce},title = {Probabilistic Label Trees for Efficient Large Scale Image Classification},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},mo... | https://openaccess.thecvf.com/content_cvpr_2013/papers/Liu_Probabilistic_Label_Trees_2013_CVPR_paper.pdf |
Depth Super Resolution by Rigid Body Self-Similarity in 3D | Michael Hornacek, Christoph Rhemann, Margrit Gelautz, Carsten Rother | We tackle the problem of jointly increasing the spatial resolution and apparent measurement accuracy of an input low-resolution, noisy, and perhaps heavily quantized depth map. In stark contrast to earlier work, we make no use of ancillary data like a color image at the target resolution, multiple aligned depth maps, o... | 2013/Hornacek_Depth_Super_Resolution_2013_CVPR_paper.pdf | @InProceedings{Hornacek_2013_ICCV_Workshops,author = {Hornacek, Michael and Rhemann, Christoph and Gelautz, Margrit and Rother, Carsten},title = {Depth Super Resolution by Rigid Body Self-Similarity in 3D},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},... | https://openaccess.thecvf.com/content_cvpr_2013/papers/Hornacek_Depth_Super_Resolution_2013_CVPR_paper.pdf |
SCALPEL: Segmentation Cascades with Localized Priors and Efficient Learning | David Weiss, Ben Taskar | We propose SCALPEL, a flexible method for object segmentation that integrates rich region-merging cues with midand high-level information about object layout, class, and scale into the segmentation process. Unlike competing approaches, SCALPEL uses a cascade of bottom-up segmentation models that is capable of learning ... | 2013/Weiss_SCALPEL_Segmentation_Cascades_2013_CVPR_paper.pdf | @InProceedings{Weiss_2013_ICCV_Workshops,author = {Weiss, David and Taskar, Ben},title = {SCALPEL: Segmentation Cascades with Localized Priors and Efficient Learning},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | https://openaccess.thecvf.com/content_cvpr_2013/papers/Weiss_SCALPEL_Segmentation_Cascades_2013_CVPR_paper.pdf |
Lost! Leveraging the Crowd for Probabilistic Visual Self-Localization | Marcus A. Brubaker, Andreas Geiger, Raquel Urtasun | In this paper we propose an affordable solution to selflocalization, which utilizes visual odometry and road maps as the only inputs. To this end, we present a probabilistic model as well as an efficient approximate inference algorithm, which is able to utilize distributed computation to meet the real-time requirements... | 2013/Brubaker_Lost_Leveraging_the_2013_CVPR_paper.pdf | @InProceedings{Brubaker_2013_ICCV_Workshops,author = {Brubaker, Marcus A. and Geiger, Andreas and Urtasun, Raquel},title = {Lost! Leveraging the Crowd for Probabilistic Visual Self-Localization},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {201... | https://openaccess.thecvf.com/content_cvpr_2013/papers/Brubaker_Lost_Leveraging_the_2013_CVPR_paper.pdf |
Class Generative Models Based on Feature Regression for Pose Estimation of Object Categories | Michele Fenzi, Laura Leal-Taixe, Bodo Rosenhahn, Jorn Ostermann | In this paper, we propose a method for learning a class representation that can return a continuous value for the pose of an unknown class instance using only 2D data and weak 3D labelling information. Our method is based on generative feature models, i.e., regression functions learnt from local descriptors of the same... | 2013/Fenzi_Class_Generative_Models_2013_CVPR_paper.pdf | @InProceedings{Fenzi_2013_ICCV_Workshops,author = {Fenzi, Michele and Leal-Taixe, Laura and Rosenhahn, Bodo and Ostermann, Jorn},title = {Class Generative Models Based on Feature Regression for Pose Estimation of Object Categories},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recogniti... | https://openaccess.thecvf.com/content_cvpr_2013/papers/Fenzi_Class_Generative_Models_2013_CVPR_paper.pdf |
Event Retrieval in Large Video Collections with Circulant Temporal Encoding | Jerome Revaud, Matthijs Douze, Cordelia Schmid, Herve Jegou | This paper presents an approach for large-scale event retrieval. Given a video clip of a specific event, e.g., the wedding of Prince William and Kate Middleton, the goal is to retrieve other videos representing the same event from a dataset of over 100k videos. Our approach encodes the frame descriptors of a video to j... | 2013/Revaud_Event_Retrieval_in_2013_CVPR_paper.pdf | @InProceedings{Revaud_2013_ICCV_Workshops,author = {Revaud, Jerome and Douze, Matthijs and Schmid, Cordelia and Jegou, Herve},title = {Event Retrieval in Large Video Collections with Circulant Temporal Encoding},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {... | https://openaccess.thecvf.com/content_cvpr_2013/papers/Revaud_Event_Retrieval_in_2013_CVPR_paper.pdf |
Selective Transfer Machine for Personalized Facial Action Unit Detection | Wen-Sheng Chu, Fernando De La Torre, Jeffery F. Cohn | Automatic facial action unit (AFA) detection from video is a long-standing problem in facial expression analysis. Most approaches emphasize choices of features and classifiers. They neglect individual differences in target persons. People vary markedly in facial morphology (e.g., heavy versus delicate brows, smooth ver... | 2013/Chu_Selective_Transfer_Machine_2013_CVPR_paper.pdf | @InProceedings{Chu_2013_ICCV_Workshops,author = {Chu, Wen-Sheng and De La Torre, Fernando and Cohn, Jeffery F.},title = {Selective Transfer Machine for Personalized Facial Action Unit Detection},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {201... | https://openaccess.thecvf.com/content_cvpr_2013/papers/Chu_Selective_Transfer_Machine_2013_CVPR_paper.pdf |
Looking Beyond the Image: Unsupervised Learning for Object Saliency and Detection | Parthipan Siva, Chris Russell, Tao Xiang, Lourdes Agapito | We propose a principled probabilistic formulation of object saliency as a sampling problem. This novel formulation allows us to learn, from a large corpus of unlabelled images, which patches of an image are of the greatest interest and most likely to correspond to an object. We then sample the object saliency map to pr... | 2013/Siva_Looking_Beyond_the_2013_CVPR_paper.pdf | @InProceedings{Siva_2013_ICCV_Workshops,author = {Siva, Parthipan and Russell, Chris and Xiang, Tao and Agapito, Lourdes},title = {Looking Beyond the Image: Unsupervised Learning for Object Saliency and Detection},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month =... | https://openaccess.thecvf.com/content_cvpr_2013/papers/Siva_Looking_Beyond_the_2013_CVPR_paper.pdf |
Joint Geodesic Upsampling of Depth Images | Ming-Yu Liu, Oncel Tuzel, Yuichi Taguchi | We propose an algorithm utilizing geodesic distances to upsample a low resolution depth image using a registered high resolution color image. Specifically, it computes depth for each pixel in the high resolution image using geodesic paths to the pixels whose depths are known from the low resolution one. Though this is ... | 2013/Liu_Joint_Geodesic_Upsampling_2013_CVPR_paper.pdf | @InProceedings{Liu_2013_ICCV_Workshops,author = {Liu, Ming-Yu and Tuzel, Oncel and Taguchi, Yuichi},title = {Joint Geodesic Upsampling of Depth Images},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | https://openaccess.thecvf.com/content_cvpr_2013/papers/Liu_Joint_Geodesic_Upsampling_2013_CVPR_paper.pdf |
Discriminative Re-ranking of Diverse Segmentations | Payman Yadollahpour, Dhruv Batra, Gregory Shakhnarovich | This paper introduces a two-stage approach to semantic image segmentation. In the first stage a probabilistic model generates a set of diverse plausible segmentations. In the second stage, a discriminatively trained re-ranking model selects the best segmentation from this set. The re-ranking stage can use much more com... | 2013/Yadollahpour_Discriminative_Re-ranking_of_2013_CVPR_paper.pdf | @InProceedings{Yadollahpour_2013_ICCV_Workshops,author = {Yadollahpour, Payman and Batra, Dhruv and Shakhnarovich, Gregory},title = {Discriminative Re-ranking of Diverse Segmentations},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | https://openaccess.thecvf.com/content_cvpr_2013/papers/Yadollahpour_Discriminative_Re-ranking_of_2013_CVPR_paper.pdf |
Blur Processing Using Double Discrete Wavelet Transform | Yi Zhang, Keigo Hirakawa | We propose a notion of double discrete wavelet transform (DDWT) that is designed to sparsify the blurred image and the blur kernel simultaneously. DDWT greatly enhances our ability to analyze, detect, and process blur kernels and blurry images--the proposed framework handles both global and spatially varying blur kerne... | 2013/Zhang_Blur_Processing_Using_2013_CVPR_paper.pdf | @InProceedings{Zhang_2013_ICCV_Workshops,author = {Zhang, Yi and Hirakawa, Keigo},title = {Blur Processing Using Double Discrete Wavelet Transform},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | https://openaccess.thecvf.com/content_cvpr_2013/papers/Zhang_Blur_Processing_Using_2013_CVPR_paper.pdf |
Procrustean Normal Distribution for Non-rigid Structure from Motion | Minsik Lee, Jungchan Cho, Chong-Ho Choi, Songhwai Oh | Non-rigid structure from motion is a fundamental problem in computer vision, which is yet to be solved satisfactorily. The main difficulty of the problem lies in choosing the right constraints for the solution. In this paper, we propose new constraints that are more effective for non-rigid shape recovery. Unlike the ot... | 2013/Lee_Procrustean_Normal_Distribution_2013_CVPR_paper.pdf | @InProceedings{Lee_2013_ICCV_Workshops,author = {Lee, Minsik and Cho, Jungchan and Choi, Chong-Ho and Oh, Songhwai},title = {Procrustean Normal Distribution for Non-rigid Structure from Motion},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013... | https://openaccess.thecvf.com/content_cvpr_2013/papers/Lee_Procrustean_Normal_Distribution_2013_CVPR_paper.pdf |
Video Enhancement of People Wearing Polarized Glasses: Darkening Reversal and Reflection Reduction | Mao Ye, Cha Zhang, Ruigang Yang | With the wide-spread of consumer 3D-TV technology, stereoscopic videoconferencing systems are emerging. However, the special glasses participants wear to see 3D can create distracting images. This paper presents a computational framework to reduce undesirable artifacts in the eye regions caused by these 3D glasses. Mor... | 2013/Ye_Video_Enhancement_of_2013_CVPR_paper.pdf | @InProceedings{Ye_2013_ICCV_Workshops,author = {Ye, Mao and Zhang, Cha and Yang, Ruigang},title = {Video Enhancement of People Wearing Polarized Glasses: Darkening Reversal and Reflection Reduction},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = ... | https://openaccess.thecvf.com/content_cvpr_2013/papers/Ye_Video_Enhancement_of_2013_CVPR_paper.pdf |
Incorporating User Interaction and Topological Constraints within Contour Completion via Discrete Calculus | Jia Xu, Maxwell D. Collins, Vikas Singh | We study the problem of interactive segmentation and contour completion for multiple objects. The form of constraints our model incorporates are those coming from user scribbles (interior or exterior constraints) as well as information regarding the topology of the 2-D space after partitioning (number of closed contour... | 2013/Xu_Incorporating_User_Interaction_2013_CVPR_paper.pdf | @InProceedings{Xu_2013_ICCV_Workshops,author = {Xu, Jia and Collins, Maxwell D. and Singh, Vikas},title = {Incorporating User Interaction and Topological Constraints within Contour Completion via Discrete Calculus},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month ... | https://openaccess.thecvf.com/content_cvpr_2013/papers/Xu_Incorporating_User_Interaction_2013_CVPR_paper.pdf |
Active Contours with Group Similarity | Xiaowei Zhou, Xiaojie Huang, James S. Duncan, Weichuan Yu | Active contours are widely used in image segmentation. To cope with missing or misleading features in images, researchers have introduced various ways to model the prior of shapes and use the prior to constrain active contours. However, the shape prior is usually learnt from a large set of annotated data, which is not ... | 2013/Zhou_Active_Contours_with_2013_CVPR_paper.pdf | @InProceedings{Zhou_2013_ICCV_Workshops,author = {Zhou, Xiaowei and Huang, Xiaojie and Duncan, James S. and Yu, Weichuan},title = {Active Contours with Group Similarity},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | https://openaccess.thecvf.com/content_cvpr_2013/papers/Zhou_Active_Contours_with_2013_CVPR_paper.pdf |
From N to N+1: Multiclass Transfer Incremental Learning | Ilja Kuzborskij, Francesco Orabona, Barbara Caputo | Since the seminal work of Thrun [17], the learning to learn paradigm has been defined as the ability of an agent to improve its performance at each task with experience, with the number of tasks. Within the object categorization domain, the visual learning community has actively declined this paradigm in the transfer l... | 2013/Kuzborskij_From_N_to_2013_CVPR_paper.pdf | @InProceedings{Kuzborskij_2013_ICCV_Workshops,author = {Kuzborskij, Ilja and Orabona, Francesco and Caputo, Barbara},title = {From N to N+1: Multiclass Transfer Incremental Learning},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | https://openaccess.thecvf.com/content_cvpr_2013/papers/Kuzborskij_From_N_to_2013_CVPR_paper.pdf |
Diffusion Processes for Retrieval Revisited | Michael Donoser, Horst Bischof | In this paper we revisit diffusion processes on affinity graphs for capturing the intrinsic manifold structure defined by pairwise affinity matrices. Such diffusion processes have already proved the ability to significantly improve subsequent applications like retrieval. We give a thorough overview of the state-of-the-... | 2013/Donoser_Diffusion_Processes_for_2013_CVPR_paper.pdf | @InProceedings{Donoser_2013_ICCV_Workshops,author = {Donoser, Michael and Bischof, Horst},title = {Diffusion Processes for Retrieval Revisited},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | https://openaccess.thecvf.com/content_cvpr_2013/papers/Donoser_Diffusion_Processes_for_2013_CVPR_paper.pdf |
Shading-Based Shape Refinement of RGB-D Images | Lap-Fai Yu, Sai-Kit Yeung, Yu-Wing Tai, Stephen Lin | We present a shading-based shape refinement algorithm which uses a noisy, incomplete depth map from Kinect to help resolve ambiguities in shape-from-shading. In our framework, the partial depth information is used to overcome bas-relief ambiguity in normals estimation, as well as to assist in recovering relative albedo... | 2013/Yu_Shading-Based_Shape_Refinement_2013_CVPR_paper.pdf | @InProceedings{Yu_2013_ICCV_Workshops,author = {Yu, Lap-Fai and Yeung, Sai-Kit and Tai, Yu-Wing and Lin, Stephen},title = {Shading-Based Shape Refinement of RGB-D Images},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | https://openaccess.thecvf.com/content_cvpr_2013/papers/Yu_Shading-Based_Shape_Refinement_2013_CVPR_paper.pdf |
The SVM-Minus Similarity Score for Video Face Recognition | Lior Wolf, Noga Levy | Face recognition in unconstrained videos requires specialized tools beyond those developed for still images: the fact that the confounding factors change state during the video sequence presents a unique challenge, but also an opportunity to eliminate spurious similarities. Luckily, a major source of confusion in visua... | 2013/Wolf_The_SVM-Minus_Similarity_2013_CVPR_paper.pdf | @InProceedings{Wolf_2013_ICCV_Workshops,author = {Wolf, Lior and Levy, Noga},title = {The SVM-Minus Similarity Score for Video Face Recognition},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | https://openaccess.thecvf.com/content_cvpr_2013/papers/Wolf_The_SVM-Minus_Similarity_2013_CVPR_paper.pdf |
A Principled Deep Random Field Model for Image Segmentation | Pushmeet Kohli, Anton Osokin, Stefanie Jegelka | We discuss a model for image segmentation that is able to overcome the short-boundary bias observed in standard pairwise random field based approaches. To wit, we show that a random field with multi-layered hidden units can encode boundary preserving higher order potentials such as the ones used in the cooperative cuts... | 2013/Kohli_A_Principled_Deep_2013_CVPR_paper.pdf | @InProceedings{Kohli_2013_ICCV_Workshops,author = {Kohli, Pushmeet and Osokin, Anton and Jegelka, Stefanie},title = {A Principled Deep Random Field Model for Image Segmentation},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | https://openaccess.thecvf.com/content_cvpr_2013/papers/Kohli_A_Principled_Deep_2013_CVPR_paper.pdf |
Human Pose Estimation Using Body Parts Dependent Joint Regressors | Matthias Dantone, Juergen Gall, Christian Leistner, Luc Van Gool | In this work, we address the problem of estimating 2d human pose from still images. Recent methods that rely on discriminatively trained deformable parts organized in a tree model have shown to be very successful in solving this task. Within such a pictorial structure framework, we address the problem of obtaining good... | 2013/Dantone_Human_Pose_Estimation_2013_CVPR_paper.pdf | @InProceedings{Dantone_2013_ICCV_Workshops,author = {Dantone, Matthias and Gall, Juergen and Leistner, Christian and Van Gool, Luc},title = {Human Pose Estimation Using Body Parts Dependent Joint Regressors},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June... | https://openaccess.thecvf.com/content_cvpr_2013/papers/Dantone_Human_Pose_Estimation_2013_CVPR_paper.pdf |
HON4D: Histogram of Oriented 4D Normals for Activity Recognition from Depth Sequences | Omar Oreifej, Zicheng Liu | We present a new descriptor for activity recognition from videos acquired by a depth sensor. Previous descriptors mostly compute shape and motion features independently; thus, they often fail to capture the complex joint shapemotion cues at pixel-level. In contrast, we describe the depth sequence using a histogram capt... | 2013/Oreifej_HON4D_Histogram_of_2013_CVPR_paper.pdf | @InProceedings{Oreifej_2013_ICCV_Workshops,author = {Oreifej, Omar and Liu, Zicheng},title = {HON4D: Histogram of Oriented 4D Normals for Activity Recognition from Depth Sequences},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | https://openaccess.thecvf.com/content_cvpr_2013/papers/Oreifej_HON4D_Histogram_of_2013_CVPR_paper.pdf |
Hash Bit Selection: A Unified Solution for Selection Problems in Hashing | Xianglong Liu, Junfeng He, Bo Lang, Shih-Fu Chang | Recent years have witnessed the active development of hashing techniques for nearest neighbor search over big datasets. However, to apply hashing techniques successfully, there are several important issues remaining open in selecting features, hashing algorithms, parameter settings, kernels, etc. In this work, we unify... | 2013/Liu_Hash_Bit_Selection_2013_CVPR_paper.pdf | @InProceedings{Liu_2013_ICCV_Workshops,author = {Liu, Xianglong and He, Junfeng and Lang, Bo and Chang, Shih-Fu},title = {Hash Bit Selection: A Unified Solution for Selection Problems in Hashing},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {20... | https://openaccess.thecvf.com/content_cvpr_2013/papers/Liu_Hash_Bit_Selection_2013_CVPR_paper.pdf |
Joint 3D Scene Reconstruction and Class Segmentation | Christian Hane, Christopher Zach, Andrea Cohen, Roland Angst, Marc Pollefeys | Both image segmentation and dense 3D modeling from images represent an intrinsically ill-posed problem. Strong regularizers are therefore required to constrain the solutions from being 'too noisy'. Unfortunately, these priors generally yield overly smooth reconstructions and/or segmentations in certain regions whereas ... | 2013/Hane_Joint_3D_Scene_2013_CVPR_paper.pdf | @InProceedings{Hane_2013_ICCV_Workshops,author = {Hane, Christian and Zach, Christopher and Cohen, Andrea and Angst, Roland and Pollefeys, Marc},title = {Joint 3D Scene Reconstruction and Class Segmentation},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June... | https://openaccess.thecvf.com/content_cvpr_2013/papers/Hane_Joint_3D_Scene_2013_CVPR_paper.pdf |
Discovering the Structure of a Planar Mirror System from Multiple Observations of a Single Point | Ilya Reshetouski, Alkhazur Manakov, Ayush Bandhari, Ramesh Raskar, Hans-Peter Seidel, Ivo Ihrke | We investigate the problem of identifying the position of a viewer inside a room of planar mirrors with unknown geometry in conjunction with the room's shape parameters. We consider the observations to consist of angularly resolved depth measurements of a single scene point that is being observed via many multi-bounce ... | 2013/Reshetouski_Discovering_the_Structure_2013_CVPR_paper.pdf | @InProceedings{Reshetouski_2013_ICCV_Workshops,author = {Reshetouski, Ilya and Manakov, Alkhazur and Bandhari, Ayush and Raskar, Ramesh and Seidel, Hans-Peter and Ihrke, Ivo},title = {Discovering the Structure of a Planar Mirror System from Multiple Observations of a Single Point},booktitle = {Proceedings of the IEEE C... | https://openaccess.thecvf.com/content_cvpr_2013/papers/Reshetouski_Discovering_the_Structure_2013_CVPR_paper.pdf |
Principal Observation Ray Calibration for Tiled-Lens-Array Integral Imaging Display | Weiming Li, Haitao Wang, Mingcai Zhou, Shandong Wang, Shaohui Jiao, Xing Mei, Tao Hong, Hoyoung Lee, Jiyeun Kim | Integral imaging display (IID) is a promising technology to provide realistic 3D image without glasses. To achieve a large screen IID with a reasonable fabrication cost, a potential solution is a tiled-lens-array IID (TLA-IID). However, TLA-IIDs are subject to 3D image artifacts when there are even slight misalignments... | 2013/Li_Principal_Observation_Ray_2013_CVPR_paper.pdf | @InProceedings{Li_2013_ICCV_Workshops,author = {Li, Weiming and Wang, Haitao and Zhou, Mingcai and Wang, Shandong and Jiao, Shaohui and Mei, Xing and Hong, Tao and Lee, Hoyoung and Kim, Jiyeun},title = {Principal Observation Ray Calibration for Tiled-Lens-Array Integral Imaging Display},booktitle = {Proceedings of the ... | https://openaccess.thecvf.com/content_cvpr_2013/papers/Li_Principal_Observation_Ray_2013_CVPR_paper.pdf |
Exploring Weak Stabilization for Motion Feature Extraction | Dennis Park, C. L. Zitnick, Deva Ramanan, Piotr Dollar | We describe novel but simple motion features for the problem of detecting objects in video sequences. Previous approaches either compute optical flow or temporal differences on video frame pairs with various assumptions about stabilization. We describe a combined approach that uses coarse-scale flow and fine-scale temp... | 2013/Park_Exploring_Weak_Stabilization_2013_CVPR_paper.pdf | @InProceedings{Park_2013_ICCV_Workshops,author = {Park, Dennis and Zitnick, C. L. and Ramanan, Deva and Dollar, Piotr},title = {Exploring Weak Stabilization for Motion Feature Extraction},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | https://openaccess.thecvf.com/content_cvpr_2013/papers/Park_Exploring_Weak_Stabilization_2013_CVPR_paper.pdf |
Fine-Grained Crowdsourcing for Fine-Grained Recognition | Jia Deng, Jonathan Krause, Li Fei-Fei | Fine-grained recognition concerns categorization at sub-ordinate levels, where the distinction between object classes is highly local. Compared to basic level recognition, fine-grained categorization can be more challenging as there are in general less data and fewer discriminative features. This necessitates the use o... | 2013/Deng_Fine-Grained_Crowdsourcing_for_2013_CVPR_paper.pdf | @InProceedings{Deng_2013_ICCV_Workshops,author = {Deng, Jia and Krause, Jonathan and Fei-Fei, Li},title = {Fine-Grained Crowdsourcing for Fine-Grained Recognition},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | https://openaccess.thecvf.com/content_cvpr_2013/papers/Deng_Fine-Grained_Crowdsourcing_for_2013_CVPR_paper.pdf |
Kernel Null Space Methods for Novelty Detection | Paul Bodesheim, Alexander Freytag, Erik Rodner, Michael Kemmler, Joachim Denzler | Detecting samples from previously unknown classes is a crucial task in object recognition, especially when dealing with real-world applications where the closed-world assumption does not hold. We present how to apply a null space method for novelty detection, which maps all training samples of one class to a single poi... | 2013/Bodesheim_Kernel_Null_Space_2013_CVPR_paper.pdf | @InProceedings{Bodesheim_2013_ICCV_Workshops,author = {Bodesheim, Paul and Freytag, Alexander and Rodner, Erik and Kemmler, Michael and Denzler, Joachim},title = {Kernel Null Space Methods for Novelty Detection},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {... | https://openaccess.thecvf.com/content_cvpr_2013/papers/Bodesheim_Kernel_Null_Space_2013_CVPR_paper.pdf |
Information Consensus for Distributed Multi-target Tracking | Ahmed T. Kamal, Jay A. Farrell, Amit K. Roy-Chowdhury | Due to their high fault-tolerance, ease of installation and scalability to large networks, distributed algorithms have recently gained immense popularity in the sensor networks community, especially in computer vision. Multitarget tracking in a camera network is one of the fundamental problems in this domain. Distribut... | 2013/Kamal_Information_Consensus_for_2013_CVPR_paper.pdf | @InProceedings{Kamal_2013_ICCV_Workshops,author = {Kamal, Ahmed T. and Farrell, Jay A. and Roy-Chowdhury, Amit K.},title = {Information Consensus for Distributed Multi-target Tracking},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | https://openaccess.thecvf.com/content_cvpr_2013/papers/Kamal_Information_Consensus_for_2013_CVPR_paper.pdf |
CLAM: Coupled Localization and Mapping with Efficient Outlier Handling | Jonathan Balzer, Stefano Soatto | We describe a method to efficiently generate a model (map) of small-scale objects from video. The map encodes sparse geometry as well as coarse photometry, and could be used to initialize dense reconstruction schemes as well as to support recognition and localization of three-dimensional objects. Self-occlusions and th... | 2013/Balzer_CLAM_Coupled_Localization_2013_CVPR_paper.pdf | @InProceedings{Balzer_2013_ICCV_Workshops,author = {Balzer, Jonathan and Soatto, Stefano},title = {CLAM: Coupled Localization and Mapping with Efficient Outlier Handling},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | https://openaccess.thecvf.com/content_cvpr_2013/papers/Balzer_CLAM_Coupled_Localization_2013_CVPR_paper.pdf |
Detecting and Naming Actors in Movies Using Generative Appearance Models | Vineet Gandhi, Remi Ronfard | We introduce a generative model for learning person and costume specific detectors from labeled examples. We demonstrate the model on the task of localizing and naming actors in long video sequences. More specifically, the actor's head and shoulders are each represented as a constellation of optional color regions. Det... | 2013/Gandhi_Detecting_and_Naming_2013_CVPR_paper.pdf | @InProceedings{Gandhi_2013_ICCV_Workshops,author = {Gandhi, Vineet and Ronfard, Remi},title = {Detecting and Naming Actors in Movies Using Generative Appearance Models},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | https://openaccess.thecvf.com/content_cvpr_2013/papers/Gandhi_Detecting_and_Naming_2013_CVPR_paper.pdf |
Semi-supervised Domain Adaptation with Instance Constraints | Jeff Donahue, Judy Hoffman, Erik Rodner, Kate Saenko, Trevor Darrell | Most successful object classification and detection methods rely on classifiers trained on large labeled datasets. However, for domains where labels are limited, simply borrowing labeled data from existing datasets can hurt performance, a phenomenon known as "dataset bias." We propose a general framework for adapting c... | 2013/Donahue_Semi-supervised_Domain_Adaptation_2013_CVPR_paper.pdf | @InProceedings{Donahue_2013_ICCV_Workshops,author = {Donahue, Jeff and Hoffman, Judy and Rodner, Erik and Saenko, Kate and Darrell, Trevor},title = {Semi-supervised Domain Adaptation with Instance Constraints},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {Ju... | https://openaccess.thecvf.com/content_cvpr_2013/papers/Donahue_Semi-supervised_Domain_Adaptation_2013_CVPR_paper.pdf |
A Linear Approach to Matching Cuboids in RGBD Images | Hao Jiang, Jianxiong Xiao | We propose a novel linear method to match cuboids in indoor scenes using RGBD images from Kinect. Beyond depth maps, these cuboids reveal important structures of a scene. Instead of directly fitting cuboids to 3D data, we first construct cuboid candidates using superpixel pairs on a RGBD image, and then we optimize the... | 2013/Jiang_A_Linear_Approach_2013_CVPR_paper.pdf | @InProceedings{Jiang_2013_ICCV_Workshops,author = {Jiang, Hao and Xiao, Jianxiong},title = {A Linear Approach to Matching Cuboids in RGBD Images},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | https://openaccess.thecvf.com/content_cvpr_2013/papers/Jiang_A_Linear_Approach_2013_CVPR_paper.pdf |
Rolling Shutter Camera Calibration | Luc Oth, Paul Furgale, Laurent Kneip, Roland Siegwart | Rolling Shutter (RS) cameras are used across a wide range of consumer electronic devices--from smart-phones to high-end cameras. It is well known, that if a RS camera is used with a moving camera or scene, significant image distortions are introduced. The quality or even success of structure from motion on rolling shut... | 2013/Oth_Rolling_Shutter_Camera_2013_CVPR_paper.pdf | @InProceedings{Oth_2013_ICCV_Workshops,author = {Oth, Luc and Furgale, Paul and Kneip, Laurent and Siegwart, Roland},title = {Rolling Shutter Camera Calibration},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | https://openaccess.thecvf.com/content_cvpr_2013/papers/Oth_Rolling_Shutter_Camera_2013_CVPR_paper.pdf |
Multi-agent Event Detection: Localization and Role Assignment | Suha Kwak, Bohyung Han, Joon Hee Han | We present a joint estimation technique of event localization and role assignment when the target video event is described by a scenario. Specifically, to detect multi-agent events from video, our algorithm identifies agents involved in an event and assigns roles to the participating agents. Instead of iterating throug... | 2013/Kwak_Multi-agent_Event_Detection_2013_CVPR_paper.pdf | @InProceedings{Kwak_2013_ICCV_Workshops,author = {Kwak, Suha and Han, Bohyung and Hee Han, Joon},title = {Multi-agent Event Detection: Localization and Role Assignment},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | https://openaccess.thecvf.com/content_cvpr_2013/papers/Kwak_Multi-agent_Event_Detection_2013_CVPR_paper.pdf |
Incorporating Structural Alternatives and Sharing into Hierarchy for Multiclass Object Recognition and Detection | Xiaolong Wang, Liang Lin, Lichao Huang, Shuicheng Yan | This paper proposes a reconfigurable model to recognize and detect multiclass (or multiview) objects with large variation in appearance. Compared with well acknowledged hierarchical models, we study two advanced capabilities in hierarchy for object modeling: (i)"switch" variables(i.e. or-nodes) for specifying alternati... | 2013/Wang_Incorporating_Structural_Alternatives_2013_CVPR_paper.pdf | @InProceedings{Wang_2013_ICCV_Workshops,author = {Wang, Xiaolong and Lin, Liang and Huang, Lichao and Yan, Shuicheng},title = {Incorporating Structural Alternatives and Sharing into Hierarchy for Multiclass Object Recognition and Detection},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern ... | https://openaccess.thecvf.com/content_cvpr_2013/papers/Wang_Incorporating_Structural_Alternatives_2013_CVPR_paper.pdf |
Discriminative Segment Annotation in Weakly Labeled Video | Kevin Tang, Rahul Sukthankar, Jay Yagnik, Li Fei-Fei | The ubiquitous availability of Internet video offers the vision community the exciting opportunity to directly learn localized visual concepts from real-world imagery. Unfortunately, most such attempts are doomed because traditional approaches are ill-suited, both in terms of their computational characteristics and the... | 2013/Tang_Discriminative_Segment_Annotation_2013_CVPR_paper.pdf | @InProceedings{Tang_2013_ICCV_Workshops,author = {Tang, Kevin and Sukthankar, Rahul and Yagnik, Jay and Fei-Fei, Li},title = {Discriminative Segment Annotation in Weakly Labeled Video},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | https://openaccess.thecvf.com/content_cvpr_2013/papers/Tang_Discriminative_Segment_Annotation_2013_CVPR_paper.pdf |
Correspondence-Less Non-rigid Registration of Triangular Surface Meshes | Zsolt Santa, Zoltan Kato | A novel correspondence-less approach is proposed to find a thin plate spline map between a pair of deformable 3D objects represented by triangular surface meshes. The proposed method works without landmark extraction and feature correspondences. The aligning transformation is found simply by solving a system of nonline... | 2013/Santa_Correspondence-Less_Non-rigid_Registration_2013_CVPR_paper.pdf | @InProceedings{Santa_2013_ICCV_Workshops,author = {Santa, Zsolt and Kato, Zoltan},title = {Correspondence-Less Non-rigid Registration of Triangular Surface Meshes},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | https://openaccess.thecvf.com/content_cvpr_2013/papers/Santa_Correspondence-Less_Non-rigid_Registration_2013_CVPR_paper.pdf |
Top-Down Segmentation of Non-rigid Visual Objects Using Derivative-Based Search on Sparse Manifolds | Jacinto C. Nascimento, Gustavo Carneiro | The solution for the top-down segmentation of non-rigid visual objects using machine learning techniques is generally regarded as too complex to be solved in its full generality given the large dimensionality of the search space of the explicit representation of the segmentation contour. In order to reduce this complex... | 2013/Nascimento_Top-Down_Segmentation_of_2013_CVPR_paper.pdf | @InProceedings{Nascimento_2013_ICCV_Workshops,author = {Nascimento, Jacinto C. and Carneiro, Gustavo},title = {Top-Down Segmentation of Non-rigid Visual Objects Using Derivative-Based Search on Sparse Manifolds},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {... | https://openaccess.thecvf.com/content_cvpr_2013/papers/Nascimento_Top-Down_Segmentation_of_2013_CVPR_paper.pdf |
Fast Image Super-Resolution Based on In-Place Example Regression | Jianchao Yang, Zhe Lin, Scott Cohen | We propose a fast regression model for practical single image super-resolution based on in-place examples, by leveraging two fundamental super-resolution approaches-learning from an external database and learning from selfexamples. Our in-place self-similarity refines the recently proposed local self-similarity by prov... | 2013/Yang_Fast_Image_Super-Resolution_2013_CVPR_paper.pdf | @InProceedings{Yang_2013_ICCV_Workshops,author = {Yang, Jianchao and Lin, Zhe and Cohen, Scott},title = {Fast Image Super-Resolution Based on In-Place Example Regression},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | https://openaccess.thecvf.com/content_cvpr_2013/papers/Yang_Fast_Image_Super-Resolution_2013_CVPR_paper.pdf |
Globally Consistent Multi-label Assignment on the Ray Space of 4D Light Fields | Sven Wanner, Christoph Straehle, Bastian Goldluecke | We present the first variational framework for multi-label segmentation on the ray space of 4D light fields. For traditional segmentation of single images, features need to be extracted from the 2D projection of a three-dimensional scene. The associated loss of geometry information can cause severe problems, for exampl... | 2013/Wanner_Globally_Consistent_Multi-label_2013_CVPR_paper.pdf | @InProceedings{Wanner_2013_ICCV_Workshops,author = {Wanner, Sven and Straehle, Christoph and Goldluecke, Bastian},title = {Globally Consistent Multi-label Assignment on the Ray Space of 4D Light Fields},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},yea... | https://openaccess.thecvf.com/content_cvpr_2013/papers/Wanner_Globally_Consistent_Multi-label_2013_CVPR_paper.pdf |
Harry Potter's Marauder's Map: Localizing and Tracking Multiple Persons-of-Interest by Nonnegative Discretization | Shoou-I Yu, Yi Yang, Alexander Hauptmann | A device just like Harry Potter's Marauder's Map, which pinpoints the location of each person-of-interest at all times, provides invaluable information for analysis of surveillance videos. To make this device real, a system would be required to perform robust person localization and tracking in real world surveillance ... | 2013/Yu_Harry_Potters_Marauders_2013_CVPR_paper.pdf | @InProceedings{Yu_2013_ICCV_Workshops,author = {Yu, Shoou-I and Yang, Yi and Hauptmann, Alexander},title = {Harry Potter's Marauder's Map: Localizing and Tracking Multiple Persons-of-Interest by Nonnegative Discretization},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)... | https://openaccess.thecvf.com/content_cvpr_2013/papers/Yu_Harry_Potters_Marauders_2013_CVPR_paper.pdf |
Query Adaptive Similarity for Large Scale Object Retrieval | Danfeng Qin, Christian Wengert, Luc Van Gool | Many recent object retrieval systems rely on local features for describing an image. The similarity between a pair of images is measured by aggregating the similarity between their corresponding local features. In this paper we present a probabilistic framework for modeling the feature to feature similarity measure. We... | 2013/Qin_Query_Adaptive_Similarity_2013_CVPR_paper.pdf | @InProceedings{Qin_2013_ICCV_Workshops,author = {Qin, Danfeng and Wengert, Christian and Van Gool, Luc},title = {Query Adaptive Similarity for Large Scale Object Retrieval},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | https://openaccess.thecvf.com/content_cvpr_2013/papers/Qin_Query_Adaptive_Similarity_2013_CVPR_paper.pdf |
Bilinear Programming for Human Activity Recognition with Unknown MRF Graphs | Zhenhua Wang, Qinfeng Shi, Chunhua Shen, Anton van den Hengel | Markov Random Fields (MRFs) have been successfully applied to human activity modelling, largely due to their ability to model complex dependencies and deal with local uncertainty. However, the underlying graph structure is often manually specified, or automatically constructed by heuristics. We show, instead, that lear... | 2013/Wang_Bilinear_Programming_for_2013_CVPR_paper.pdf | @InProceedings{Wang_2013_ICCV_Workshops,author = {Wang, Zhenhua and Shi, Qinfeng and Shen, Chunhua and van den Hengel, Anton},title = {Bilinear Programming for Human Activity Recognition with Unknown MRF Graphs},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {... | https://openaccess.thecvf.com/content_cvpr_2013/papers/Wang_Bilinear_Programming_for_2013_CVPR_paper.pdf |
A Fully-Connected Layered Model of Foreground and Background Flow | Deqing Sun, Jonas Wulff, Erik B. Sudderth, Hanspeter Pfister, Michael J. Black | Layered models allow scene segmentation and motion estimation to be formulated together and to inform one another. Traditional layered motion methods, however, employ fairly weak models of scene structure, relying on locally connected Ising/Potts models which have limited ability to capture long-range correlations in n... | 2013/Sun_A_Fully-Connected_Layered_2013_CVPR_paper.pdf | @InProceedings{Sun_2013_ICCV_Workshops,author = {Sun, Deqing and Wulff, Jonas and Sudderth, Erik B. and Pfister, Hanspeter and Black, Michael J.},title = {A Fully-Connected Layered Model of Foreground and Background Flow},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}... | https://openaccess.thecvf.com/content_cvpr_2013/papers/Sun_A_Fully-Connected_Layered_2013_CVPR_paper.pdf |
Winding Number for Region-Boundary Consistent Salient Contour Extraction | Yansheng Ming, Hongdong Li, Xuming He | This paper aims to extract salient closed contours from an image. For this vision task, both region segmentation cues (e.g. color/texture homogeneity) and boundary detection cues (e.g. local contrast, edge continuity and contour closure) play important and complementary roles. In this paper we show how to combine both ... | 2013/Ming_Winding_Number_for_2013_CVPR_paper.pdf | @InProceedings{Ming_2013_ICCV_Workshops,author = {Ming, Yansheng and Li, Hongdong and He, Xuming},title = {Winding Number for Region-Boundary Consistent Salient Contour Extraction},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | https://openaccess.thecvf.com/content_cvpr_2013/papers/Ming_Winding_Number_for_2013_CVPR_paper.pdf |
Analytic Bilinear Appearance Subspace Construction for Modeling Image Irradiance under Natural Illumination and Non-Lambertian Reflectance | Shireen Y. Elhabian, Aly A. Farag | Conventional subspace construction approaches suffer from the need of "large-enough" image ensemble rendering numerical methods intractable. In this paper, we propose an analytic formulation for low-dimensional subspace construction in which shading cues lie while preserving the natural structure of an image sample. Us... | 2013/Elhabian_Analytic_Bilinear_Appearance_2013_CVPR_paper.pdf | @InProceedings{Elhabian_2013_ICCV_Workshops,author = {Elhabian, Shireen Y. and Farag, Aly A.},title = {Analytic Bilinear Appearance Subspace Construction for Modeling Image Irradiance under Natural Illumination and Non-Lambertian Reflectance},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Patter... | https://openaccess.thecvf.com/content_cvpr_2013/papers/Elhabian_Analytic_Bilinear_Appearance_2013_CVPR_paper.pdf |
What Object Motion Reveals about Shape with Unknown BRDF and Lighting | Manmohan Chandraker, Dikpal Reddy, Yizhou Wang, Ravi Ramamoorthi | We present a theory that addresses the problem of determining shape from the (small or differential) motion of an object with unknown isotropic reflectance, under arbitrary unknown distant illumination, for both orthographic and perpsective projection. Our theory imposes fundamental limits on the hardness of surface re... | 2013/Chandraker_What_Object_Motion_2013_CVPR_paper.pdf | @InProceedings{Chandraker_2013_ICCV_Workshops,author = {Chandraker, Manmohan and Reddy, Dikpal and Wang, Yizhou and Ramamoorthi, Ravi},title = {What Object Motion Reveals about Shape with Unknown BRDF and Lighting},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month ... | https://openaccess.thecvf.com/content_cvpr_2013/papers/Chandraker_What_Object_Motion_2013_CVPR_paper.pdf |
As-Projective-As-Possible Image Stitching with Moving DLT | Julio Zaragoza, Tat-Jun Chin, Michael S. Brown, David Suter | null | 2013/Zaragoza_As-Projective-As-Possible_Image_Stitching_2013_CVPR_paper.pdf | @InProceedings{Zaragoza_2013_ICCV_Workshops,author = {Zaragoza, Julio and Chin, Tat-Jun and Brown, Michael S. and Suter, David},title = {As-Projective-As-Possible Image Stitching with Moving DLT},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {20... | https://openaccess.thecvf.com/content_cvpr_2013/papers/Zaragoza_As-Projective-As-Possible_Image_Stitching_2013_CVPR_paper.pdf |
Mirror Surface Reconstruction from a Single Image | Miaomiao Liu, Richard Hartley, Mathieu Salzmann | null | 2013/Liu_Mirror_Surface_Reconstruction_2013_CVPR_paper.pdf | @InProceedings{Liu_2013_ICCV_Workshops,author = {Liu, Miaomiao and Hartley, Richard and Salzmann, Mathieu},title = {Mirror Surface Reconstruction from a Single Image},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | https://openaccess.thecvf.com/content_cvpr_2013/papers/Liu_Mirror_Surface_Reconstruction_2013_CVPR_paper.pdf |
Learning by Associating Ambiguously Labeled Images | Zinan Zeng, Shijie Xiao, Kui Jia, Tsung-Han Chan, Shenghua Gao, Dong Xu, Yi Ma | null | 2013/Zeng_Learning_by_Associating_2013_CVPR_paper.pdf | @InProceedings{Zeng_2013_ICCV_Workshops,author = {Zeng, Zinan and Xiao, Shijie and Jia, Kui and Chan, Tsung-Han and Gao, Shenghua and Xu, Dong and Ma, Yi},title = {Learning by Associating Ambiguously Labeled Images},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month... | https://openaccess.thecvf.com/content_cvpr_2013/papers/Zeng_Learning_by_Associating_2013_CVPR_paper.pdf |
Ensemble Learning for Confidence Measures in Stereo Vision | Ralf Haeusler, Rahul Nair, Daniel Kondermann | null | 2013/Haeusler_Ensemble_Learning_for_2013_CVPR_paper.pdf | @InProceedings{Haeusler_2013_ICCV_Workshops,author = {Haeusler, Ralf and Nair, Rahul and Kondermann, Daniel},title = {Ensemble Learning for Confidence Measures in Stereo Vision},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | https://openaccess.thecvf.com/content_cvpr_2013/papers/Haeusler_Ensemble_Learning_for_2013_CVPR_paper.pdf |
Light Field Distortion Feature for Transparent Object Recognition | Kazuki Maeno, Hajime Nagahara, Atsushi Shimada, Rin-Ichiro Taniguchi | null | 2013/Maeno_Light_Field_Distortion_2013_CVPR_paper.pdf | @InProceedings{Maeno_2013_ICCV_Workshops,author = {Maeno, Kazuki and Nagahara, Hajime and Shimada, Atsushi and Taniguchi, Rin-Ichiro},title = {Light Field Distortion Feature for Transparent Object Recognition},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {Ju... | https://openaccess.thecvf.com/content_cvpr_2013/papers/Maeno_Light_Field_Distortion_2013_CVPR_paper.pdf |
Probabilistic Elastic Matching for Pose Variant Face Verification | Haoxiang Li, Gang Hua, Zhe Lin, Jonathan Brandt, Jianchao Yang | null | 2013/Li_Probabilistic_Elastic_Matching_2013_CVPR_paper.pdf | @InProceedings{Li_2013_ICCV_Workshops,author = {Li, Haoxiang and Hua, Gang and Lin, Zhe and Brandt, Jonathan and Yang, Jianchao},title = {Probabilistic Elastic Matching for Pose Variant Face Verification},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},y... | https://openaccess.thecvf.com/content_cvpr_2013/papers/Li_Probabilistic_Elastic_Matching_2013_CVPR_paper.pdf |
Handling Noise in Single Image Deblurring Using Directional Filters | Lin Zhong, Sunghyun Cho, Dimitris Metaxas, Sylvain Paris, Jue Wang | null | 2013/Zhong_Handling_Noise_in_2013_CVPR_paper.pdf | @InProceedings{Zhong_2013_ICCV_Workshops,author = {Zhong, Lin and Cho, Sunghyun and Metaxas, Dimitris and Paris, Sylvain and Wang, Jue},title = {Handling Noise in Single Image Deblurring Using Directional Filters},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month =... | https://openaccess.thecvf.com/content_cvpr_2013/papers/Zhong_Handling_Noise_in_2013_CVPR_paper.pdf |
Joint Spectral Correspondence for Disparate Image Matching | Mayank Bansal, Kostas Daniilidis | null | 2013/Bansal_Joint_Spectral_Correspondence_2013_CVPR_paper.pdf | @InProceedings{Bansal_2013_ICCV_Workshops,author = {Bansal, Mayank and Daniilidis, Kostas},title = {Joint Spectral Correspondence for Disparate Image Matching},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | https://openaccess.thecvf.com/content_cvpr_2013/papers/Bansal_Joint_Spectral_Correspondence_2013_CVPR_paper.pdf |
Story-Driven Summarization for Egocentric Video | Zheng Lu, Kristen Grauman | null | 2013/Lu_Story-Driven_Summarization_for_2013_CVPR_paper.pdf | @InProceedings{Lu_2013_ICCV_Workshops,author = {Lu, Zheng and Grauman, Kristen},title = {Story-Driven Summarization for Egocentric Video},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | https://openaccess.thecvf.com/content_cvpr_2013/papers/Lu_Story-Driven_Summarization_for_2013_CVPR_paper.pdf |
From Local Similarity to Global Coding: An Application to Image Classification | Amirreza Shaban, Hamid R. Rabiee, Mehrdad Farajtabar, Marjan Ghazvininejad | null | 2013/Shaban_From_Local_Similarity_2013_CVPR_paper.pdf | @InProceedings{Shaban_2013_ICCV_Workshops,author = {Shaban, Amirreza and Rabiee, Hamid R. and Farajtabar, Mehrdad and Ghazvininejad, Marjan},title = {From Local Similarity to Global Coding: An Application to Image Classification},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition... | https://openaccess.thecvf.com/content_cvpr_2013/papers/Shaban_From_Local_Similarity_2013_CVPR_paper.pdf |
Graph-Based Discriminative Learning for Location Recognition | Song Cao, Noah Snavely | Recognizing the location of a query image by matching it to a database is an important problem in computer vision, and one for which the representation of the database is a key issue. We explore new ways for exploiting the structure of a database by representing it as a graph, and show how the rich information embedded... | 2013/Cao_Graph-Based_Discriminative_Learning_2013_CVPR_paper.pdf | @InProceedings{Cao_2013_ICCV_Workshops,author = {Cao, Song and Snavely, Noah},title = {Graph-Based Discriminative Learning for Location Recognition},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | https://openaccess.thecvf.com/content_cvpr_2013/papers/Cao_Graph-Based_Discriminative_Learning_2013_CVPR_paper.pdf |
Towards Pose Robust Face Recognition | Dong Yi, Zhen Lei, Stan Z. Li | Most existing pose robust methods are too computational complex to meet practical applications and their performance under unconstrained environments are rarely evaluated. In this paper, we propose a novel method for pose robust face recognition towards practical applications, which is fast, pose robust and can work we... | 2013/Yi_Towards_Pose_Robust_2013_CVPR_paper.pdf | @InProceedings{Yi_2013_ICCV_Workshops,author = {Yi, Dong and Lei, Zhen and Li, Stan Z.},title = {Towards Pose Robust Face Recognition},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | https://openaccess.thecvf.com/content_cvpr_2013/papers/Yi_Towards_Pose_Robust_2013_CVPR_paper.pdf |
Calibrating Photometric Stereo by Holistic Reflectance Symmetry Analysis | Zhe Wu, Ping Tan | Under unknown directional lighting, the uncalibrated Lambertian photometric stereo algorithm recovers the shape of a smooth surface up to the generalized bas-relief (GBR) ambiguity. We resolve this ambiguity from the halfvector symmetry, which is observed in many isotropic materials. Under this symmetry, a 2D BRDF slic... | 2013/Wu_Calibrating_Photometric_Stereo_2013_CVPR_paper.pdf | @InProceedings{Wu_2013_ICCV_Workshops,author = {Wu, Zhe and Tan, Ping},title = {Calibrating Photometric Stereo by Holistic Reflectance Symmetry Analysis},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | https://openaccess.thecvf.com/content_cvpr_2013/papers/Wu_Calibrating_Photometric_Stereo_2013_CVPR_paper.pdf |
All About VLAD | Relja Arandjelovic, Andrew Zisserman | The objective of this paper is large scale object instance retrieval, given a query image. A starting point of such systems is feature detection and description, for example using SIFT. The focus of this paper, however, is towards very large scale retrieval where, due to storage requirements, very compact image descrip... | 2013/Arandjelovic_All_About_VLAD_2013_CVPR_paper.pdf | @InProceedings{Arandjelovic_2013_ICCV_Workshops,author = {Arandjelovic, Relja and Zisserman, Andrew},title = {All About VLAD},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | https://openaccess.thecvf.com/content_cvpr_2013/papers/Arandjelovic_All_About_VLAD_2013_CVPR_paper.pdf |
Relative Hidden Markov Models for Evaluating Motion Skill | Qiang Zhang, Baoxin Li | This paper is concerned with a novel problem: learning temporal models using only relative information. Such a problem arises naturally in many applications involving motion or video data. Our focus in this paper is on videobased surgical training, in which a key task is to rate the performance of a trainee based on a ... | 2013/Zhang_Relative_Hidden_Markov_2013_CVPR_paper.pdf | @InProceedings{Zhang_2013_ICCV_Workshops,author = {Zhang, Qiang and Li, Baoxin},title = {Relative Hidden Markov Models for Evaluating Motion Skill},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | https://openaccess.thecvf.com/content_cvpr_2013/papers/Zhang_Relative_Hidden_Markov_2013_CVPR_paper.pdf |
Classification of Tumor Histology via Morphometric Context | Hang Chang, Alexander Borowsky, Paul Spellman, Bahram Parvin | Image-based classification of tissue histology, in terms of different components (e.g., normal signature, categories of aberrant signatures), provides a series of indices for tumor composition. Subsequently, aggregation of these indices in each whole slide image (WSI) from a large cohort can provide predictive models o... | 2013/Chang_Classification_of_Tumor_2013_CVPR_paper.pdf | @InProceedings{Chang_2013_ICCV_Workshops,author = {Chang, Hang and Borowsky, Alexander and Spellman, Paul and Parvin, Bahram},title = {Classification of Tumor Histology via Morphometric Context},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {201... | https://openaccess.thecvf.com/content_cvpr_2013/papers/Chang_Classification_of_Tumor_2013_CVPR_paper.pdf |
Boosting Binary Keypoint Descriptors | Tomasz Trzcinski, Mario Christoudias, Pascal Fua, Vincent Lepetit | Binary keypoint descriptors provide an efficient alternative to their floating-point competitors as they enable faster processing while requiring less memory. In this paper, we propose a novel framework to learn an extremely compact binary descriptor we call BinBoost that is very robust to illumination and viewpoint ch... | 2013/Trzcinski_Boosting_Binary_Keypoint_2013_CVPR_paper.pdf | @InProceedings{Trzcinski_2013_ICCV_Workshops,author = {Trzcinski, Tomasz and Christoudias, Mario and Fua, Pascal and Lepetit, Vincent},title = {Boosting Binary Keypoint Descriptors},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | https://openaccess.thecvf.com/content_cvpr_2013/papers/Trzcinski_Boosting_Binary_Keypoint_2013_CVPR_paper.pdf |
Fast Patch-Based Denoising Using Approximated Patch Geodesic Paths | Xiaogang Chen, Sing Bing Kang, Jie Yang, Jingyi Yu | Patch-based methods such as Non-Local Means (NLM) and BM3D have become the de facto gold standard for image denoising. The core of these approaches is to use similar patches within the image as cues for denoising. The operation usually requires expensive pair-wise patch comparisons. In this paper, we present a novel fa... | 2013/Chen_Fast_Patch-Based_Denoising_2013_CVPR_paper.pdf | @InProceedings{Chen_2013_ICCV_Workshops,author = {Chen, Xiaogang and Bing Kang, Sing and Yang, Jie and Yu, Jingyi},title = {Fast Patch-Based Denoising Using Approximated Patch Geodesic Paths},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | https://openaccess.thecvf.com/content_cvpr_2013/papers/Chen_Fast_Patch-Based_Denoising_2013_CVPR_paper.pdf |
Five Shades of Grey for Fast and Reliable Camera Pose Estimation | Adam Herout, Istvan Szentandrasi, Michal Zacharias, Marketa Dubska, Rudolf Kajan | We introduce here an improved design of the Uniform Marker Fields and an algorithm for their fast and reliable detection. Our concept of the marker field is designed so that it can be detected and recognized for camera pose estimation: in various lighting conditions, under a severe perspective, while heavily occluded, ... | 2013/Herout_Five_Shades_of_2013_CVPR_paper.pdf | @InProceedings{Herout_2013_ICCV_Workshops,author = {Herout, Adam and Szentandrasi, Istvan and Zacharias, Michal and Dubska, Marketa and Kajan, Rudolf},title = {Five Shades of Grey for Fast and Reliable Camera Pose Estimation},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CV... | https://openaccess.thecvf.com/content_cvpr_2013/papers/Herout_Five_Shades_of_2013_CVPR_paper.pdf |
Structured Face Hallucination | Chih-Yuan Yang, Sifei Liu, Ming-Hsuan Yang | The goal of face hallucination is to generate highresolution images with fidelity from low-resolution ones. In contrast to existing methods based on patch similarity or holistic constraints in the image space, we propose to exploit local image structures for face hallucination. Each face image is represented in terms o... | 2013/Yang_Structured_Face_Hallucination_2013_CVPR_paper.pdf | @InProceedings{Yang_2013_ICCV_Workshops,author = {Yang, Chih-Yuan and Liu, Sifei and Yang, Ming-Hsuan},title = {Structured Face Hallucination},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | https://openaccess.thecvf.com/content_cvpr_2013/papers/Yang_Structured_Face_Hallucination_2013_CVPR_paper.pdf |
HDR Deghosting: How to Deal with Saturation? | Jun Hu, Orazio Gallo, Kari Pulli, Xiaobai Sun | We present a novel method for aligning images in an HDR (high-dynamic-range) image stack to produce a new exposure stack where all the images are aligned and appear as if they were taken simultaneously, even in the case of highly dynamic scenes. Our method produces plausible results even where the image used as a refer... | 2013/Hu_HDR_Deghosting_How_2013_CVPR_paper.pdf | @InProceedings{Hu_2013_ICCV_Workshops,author = {Hu, Jun and Gallo, Orazio and Pulli, Kari and Sun, Xiaobai},title = {HDR Deghosting: How to Deal with Saturation?},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | https://openaccess.thecvf.com/content_cvpr_2013/papers/Hu_HDR_Deghosting_How_2013_CVPR_paper.pdf |
Adaptive Active Learning for Image Classification | Xin Li, Yuhong Guo | Recently active learning has attracted a lot of attention in computer vision field, as it is time and cost consuming to prepare a good set of labeled images for vision data analysis. Most existing active learning approaches employed in computer vision adopt most uncertainty measures as instance selection criteria. Alth... | 2013/Li_Adaptive_Active_Learning_2013_CVPR_paper.pdf | @InProceedings{Li_2013_ICCV_Workshops,author = {Li, Xin and Guo, Yuhong},title = {Adaptive Active Learning for Image Classification},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | https://openaccess.thecvf.com/content_cvpr_2013/papers/Li_Adaptive_Active_Learning_2013_CVPR_paper.pdf |
Transfer Sparse Coding for Robust Image Representation | Mingsheng Long, Guiguang Ding, Jianmin Wang, Jiaguang Sun, Yuchen Guo, Philip S. Yu | Sparse coding learns a set of basis functions such that each input signal can be well approximated by a linear combination of just a few of the bases. It has attracted increasing interest due to its state-of-the-art performance in BoW based image representation. However, when labeled and unlabeled images are sampled fr... | 2013/Long_Transfer_Sparse_Coding_2013_CVPR_paper.pdf | @InProceedings{Long_2013_ICCV_Workshops,author = {Long, Mingsheng and Ding, Guiguang and Wang, Jianmin and Sun, Jiaguang and Guo, Yuchen and Yu, Philip S.},title = {Transfer Sparse Coding for Robust Image Representation},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},... | https://openaccess.thecvf.com/content_cvpr_2013/papers/Long_Transfer_Sparse_Coding_2013_CVPR_paper.pdf |
Improving an Object Detector and Extracting Regions Using Superpixels | Guang Shu, Afshin Dehghan, Mubarak Shah | We propose an approach to improve the detection performance of a generic detector when it is applied to a particular video. The performance of offline-trained objects detectors are usually degraded in unconstrained video environments due to variant illuminations, backgrounds and camera viewpoints. Moreover, most object... | 2013/Shu_Improving_an_Object_2013_CVPR_paper.pdf | @InProceedings{Shu_2013_ICCV_Workshops,author = {Shu, Guang and Dehghan, Afshin and Shah, Mubarak},title = {Improving an Object Detector and Extracting Regions Using Superpixels},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | https://openaccess.thecvf.com/content_cvpr_2013/papers/Shu_Improving_an_Object_2013_CVPR_paper.pdf |
Semi-supervised Learning of Feature Hierarchies for Object Detection in a Video | Yang Yang, Guang Shu, Mubarak Shah | We propose a novel approach to boost the performance of generic object detectors on videos by learning videospecific features using a deep neural network. The insight behind our proposed approach is that an object appearing in different frames of a video clip should share similar features, which can be learned to build... | 2013/Yang_Semi-supervised_Learning_of_2013_CVPR_paper.pdf | @InProceedings{Yang_2013_ICCV_Workshops,author = {Yang, Yang and Shu, Guang and Shah, Mubarak},title = {Semi-supervised Learning of Feature Hierarchies for Object Detection in a Video},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | https://openaccess.thecvf.com/content_cvpr_2013/papers/Yang_Semi-supervised_Learning_of_2013_CVPR_paper.pdf |
Image Matting with Local and Nonlocal Smooth Priors | Xiaowu Chen, Dongqing Zou, Steven Zhiying Zhou, Qinping Zhao, Ping Tan | In this paper we propose a novel alpha matting method with local and nonlocal smooth priors. We observe that the manifold preserving editing propagation [4] essentially introduced a nonlocal smooth prior on the alpha matte. This nonlocal smooth prior and the well known local smooth prior from matting Laplacian compleme... | 2013/Chen_Image_Matting_with_2013_CVPR_paper.pdf | @InProceedings{Chen_2013_ICCV_Workshops,author = {Chen, Xiaowu and Zou, Dongqing and Zhiying Zhou, Steven and Zhao, Qinping and Tan, Ping},title = {Image Matting with Local and Nonlocal Smooth Priors},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year ... | https://openaccess.thecvf.com/content_cvpr_2013/papers/Chen_Image_Matting_with_2013_CVPR_paper.pdf |
Image Tag Completion via Image-Specific and Tag-Specific Linear Sparse Reconstructions | Zijia Lin, Guiguang Ding, Mingqing Hu, Jianmin Wang, Xiaojun Ye | Though widely utilized for facilitating image management, user-provided image tags are usually incomplete and insufficient to describe the whole semantic content of corresponding images, resulting in performance degradations in tag-dependent applications and thus necessitating effective tag completion methods. In this ... | 2013/Lin_Image_Tag_Completion_2013_CVPR_paper.pdf | @InProceedings{Lin_2013_ICCV_Workshops,author = {Lin, Zijia and Ding, Guiguang and Hu, Mingqing and Wang, Jianmin and Ye, Xiaojun},title = {Image Tag Completion via Image-Specific and Tag-Specific Linear Sparse Reconstructions},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (... | https://openaccess.thecvf.com/content_cvpr_2013/papers/Lin_Image_Tag_Completion_2013_CVPR_paper.pdf |
In Defense of Sparsity Based Face Recognition | Weihong Deng, Jiani Hu, Jun Guo | The success of sparse representation based classification (SRC) has largely boosted the research of sparsity based face recognition in recent years. A prevailing view is that the sparsity based face recognition performs well only when the training images have been carefully controlled and the number of samples per clas... | 2013/Deng_In_Defense_of_2013_CVPR_paper.pdf | @InProceedings{Deng_2013_ICCV_Workshops,author = {Deng, Weihong and Hu, Jiani and Guo, Jun},title = {In Defense of Sparsity Based Face Recognition},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | https://openaccess.thecvf.com/content_cvpr_2013/papers/Deng_In_Defense_of_2013_CVPR_paper.pdf |
Computationally Efficient Regression on a Dependency Graph for Human Pose Estimation | Kota Hara, Rama Chellappa | We present a hierarchical method for human pose estimation from a single still image. In our approach, a dependency graph representing relationships between reference points such as body joints is constructed and the positions of these reference points are sequentially estimated by a successive application of multidime... | 2013/Hara_Computationally_Efficient_Regression_2013_CVPR_paper.pdf | @InProceedings{Hara_2013_ICCV_Workshops,author = {Hara, Kota and Chellappa, Rama},title = {Computationally Efficient Regression on a Dependency Graph for Human Pose Estimation},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | https://openaccess.thecvf.com/content_cvpr_2013/papers/Hara_Computationally_Efficient_Regression_2013_CVPR_paper.pdf |
Non-parametric Filtering for Geometric Detail Extraction and Material Representation | Zicheng Liao, Jason Rock, Yang Wang, David Forsyth | Geometric detail is a universal phenomenon in real world objects. It is an important component in object modeling, but not accounted for in current intrinsic image works. In this work, we explore using a non-parametric method to separate geometric detail from intrinsic image components. We further decompose an image as... | 2013/Liao_Non-parametric_Filtering_for_2013_CVPR_paper.pdf | @InProceedings{Liao_2013_ICCV_Workshops,author = {Liao, Zicheng and Rock, Jason and Wang, Yang and Forsyth, David},title = {Non-parametric Filtering for Geometric Detail Extraction and Material Representation},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {Ju... | https://openaccess.thecvf.com/content_cvpr_2013/papers/Liao_Non-parametric_Filtering_for_2013_CVPR_paper.pdf |
Bottom-Up Segmentation for Top-Down Detection | Sanja Fidler, Roozbeh Mottaghi, Alan Yuille, Raquel Urtasun | In this paper we are interested in how semantic segmentation can help object detection. Towards this goal, we propose a novel deformable part-based model which exploits region-based segmentation algorithms that compute candidate object regions by bottom-up clustering followed by ranking of those regions. Our approach a... | 2013/Fidler_Bottom-Up_Segmentation_for_2013_CVPR_paper.pdf | @InProceedings{Fidler_2013_ICCV_Workshops,author = {Fidler, Sanja and Mottaghi, Roozbeh and Yuille, Alan and Urtasun, Raquel},title = {Bottom-Up Segmentation for Top-Down Detection},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | https://openaccess.thecvf.com/content_cvpr_2013/papers/Fidler_Bottom-Up_Segmentation_for_2013_CVPR_paper.pdf |
Expanded Parts Model for Human Attribute and Action Recognition in Still Images | Gaurav Sharma, Frederic Jurie, Cordelia Schmid | We propose a new model for recognizing human attributes (e.g. wearing a suit, sitting, short hair) and actions (e.g. running, riding a horse) in still images. The proposed model relies on a collection of part templates which are learnt discriminatively to explain specific scale-space locations in the images (in human c... | 2013/Sharma_Expanded_Parts_Model_2013_CVPR_paper.pdf | @InProceedings{Sharma_2013_ICCV_Workshops,author = {Sharma, Gaurav and Jurie, Frederic and Schmid, Cordelia},title = {Expanded Parts Model for Human Attribute and Action Recognition in Still Images},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = ... | https://openaccess.thecvf.com/content_cvpr_2013/papers/Sharma_Expanded_Parts_Model_2013_CVPR_paper.pdf |
Inductive Hashing on Manifolds | Fumin Shen, Chunhua Shen, Qinfeng Shi, Anton van den Hengel, Zhenmin Tang | Learning based hashing methods have attracted considerable attention due to their ability to greatly increase the scale at which existing algorithms may operate. Most of these methods are designed to generate binary codes that preserve the Euclidean distance in the original space. Manifold learning techniques, in contr... | 2013/Shen_Inductive_Hashing_on_2013_CVPR_paper.pdf | @InProceedings{Shen_2013_ICCV_Workshops,author = {Shen, Fumin and Shen, Chunhua and Shi, Qinfeng and van den Hengel, Anton and Tang, Zhenmin},title = {Inductive Hashing on Manifolds},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | https://openaccess.thecvf.com/content_cvpr_2013/papers/Shen_Inductive_Hashing_on_2013_CVPR_paper.pdf |
Robust Feature Matching with Alternate Hough and Inverted Hough Transforms | Hsin-Yi Chen, Yen-Yu Lin, Bing-Yu Chen | We present an algorithm that carries out alternate Hough transform and inverted Hough transform to establish feature correspondences, and enhances the quality of matching in both precision and recall. Inspired by the fact that nearby features on the same object share coherent homographies in matching, we cast the task ... | 2013/Chen_Robust_Feature_Matching_2013_CVPR_paper.pdf | @InProceedings{Chen_2013_ICCV_Workshops,author = {Chen, Hsin-Yi and Lin, Yen-Yu and Chen, Bing-Yu},title = {Robust Feature Matching with Alternate Hough and Inverted Hough Transforms},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | https://openaccess.thecvf.com/content_cvpr_2013/papers/Chen_Robust_Feature_Matching_2013_CVPR_paper.pdf |
Fast Object Detection with Entropy-Driven Evaluation | Raphael Sznitman, Carlos Becker, Francois Fleuret, Pascal Fua | Cascade-style approaches to implementing ensemble classifiers can deliver significant speed-ups at test time. While highly effective, they remain challenging to tune and their overall performance depends on the availability of large validation sets to estimate rejection thresholds. These characteristics are often prohi... | 2013/Sznitman_Fast_Object_Detection_2013_CVPR_paper.pdf | @InProceedings{Sznitman_2013_ICCV_Workshops,author = {Sznitman, Raphael and Becker, Carlos and Fleuret, Francois and Fua, Pascal},title = {Fast Object Detection with Entropy-Driven Evaluation},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}... | https://openaccess.thecvf.com/content_cvpr_2013/papers/Sznitman_Fast_Object_Detection_2013_CVPR_paper.pdf |
Event Recognition in Videos by Learning from Heterogeneous Web Sources | Lin Chen, Lixin Duan, Dong Xu | In this work, we propose to leverage a large number of loosely labeled web videos (e.g., from YouTube) and web images (e.g., from Google/Bing image search) for visual event recognition in consumer videos without requiring any labeled consumer videos. We formulate this task as a new multi-domain adaptation problem with ... | 2013/Chen_Event_Recognition_in_2013_CVPR_paper.pdf | @InProceedings{Chen_2013_ICCV_Workshops,author = {Chen, Lin and Duan, Lixin and Xu, Dong},title = {Event Recognition in Videos by Learning from Heterogeneous Web Sources},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | https://openaccess.thecvf.com/content_cvpr_2013/papers/Chen_Event_Recognition_in_2013_CVPR_paper.pdf |
Discriminative Color Descriptors | Rahat Khan, Joost van de Weijer, Fahad Shahbaz Khan, Damien Muselet, Christophe Ducottet, Cecile Barat | Color description is a challenging task because of large variations in RGB values which occur due to scene accidental events, such as shadows, shading, specularities, illuminant color changes, and changes in viewing geometry. Traditionally, this challenge has been addressed by capturing the variations in physics-based ... | 2013/Khan_Discriminative_Color_Descriptors_2013_CVPR_paper.pdf | @InProceedings{Khan_2013_ICCV_Workshops,author = {Khan, Rahat and van de Weijer, Joost and Shahbaz Khan, Fahad and Muselet, Damien and Ducottet, Christophe and Barat, Cecile},title = {Discriminative Color Descriptors},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},mon... | https://openaccess.thecvf.com/content_cvpr_2013/papers/Khan_Discriminative_Color_Descriptors_2013_CVPR_paper.pdf |
Subcategory-Aware Object Classification | Jian Dong, Wei Xia, Qiang Chen, Jianshi Feng, Zhongyang Huang, Shuicheng Yan | In this paper, we introduce a subcategory-aware object classification framework to boost category level object classification performance. Motivated by the observation of considerable intra-class diversities and inter-class ambiguities in many current object classification datasets, we explicitly split data into subcat... | 2013/Dong_Subcategory-Aware_Object_Classification_2013_CVPR_paper.pdf | @InProceedings{Dong_2013_ICCV_Workshops,author = {Dong, Jian and Xia, Wei and Chen, Qiang and Feng, Jianshi and Huang, Zhongyang and Yan, Shuicheng},title = {Subcategory-Aware Object Classification},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = ... | https://openaccess.thecvf.com/content_cvpr_2013/papers/Dong_Subcategory-Aware_Object_Classification_2013_CVPR_paper.pdf |
Optical Flow Estimation Using Laplacian Mesh Energy | Wenbin Li, Darren Cosker, Matthew Brown, Rui Tang | In this paper we present a novel non-rigid optical flow algorithm for dense image correspondence and non-rigid registration. The algorithm uses a unique Laplacian Mesh Energy term to encourage local smoothness whilst simultaneously preserving non-rigid deformation. Laplacian deformation approaches have become popular i... | 2013/Li_Optical_Flow_Estimation_2013_CVPR_paper.pdf | @InProceedings{Li_2013_ICCV_Workshops,author = {Li, Wenbin and Cosker, Darren and Brown, Matthew and Tang, Rui},title = {Optical Flow Estimation Using Laplacian Mesh Energy},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | https://openaccess.thecvf.com/content_cvpr_2013/papers/Li_Optical_Flow_Estimation_2013_CVPR_paper.pdf |
Constrained Clustering and Its Application to Face Clustering in Videos | Baoyuan Wu, Yifan Zhang, Bao-Gang Hu, Qiang Ji | In this paper, we focus on face clustering in videos. Given the detected faces from real-world videos, we partition all faces into K disjoint clusters. Different from clustering on a collection of facial images, the faces from videos are organized as face tracks and the frame index of each face is also provided. As a r... | 2013/Wu_Constrained_Clustering_and_2013_CVPR_paper.pdf | @InProceedings{Wu_2013_ICCV_Workshops,author = {Wu, Baoyuan and Zhang, Yifan and Hu, Bao-Gang and Ji, Qiang},title = {Constrained Clustering and Its Application to Face Clustering in Videos},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | https://openaccess.thecvf.com/content_cvpr_2013/papers/Wu_Constrained_Clustering_and_2013_CVPR_paper.pdf |
Face Recognition in Movie Trailers via Mean Sequence Sparse Representation-Based Classification | Enrique G. Ortiz, Alan Wright, Mubarak Shah | This paper presents an end-to-end video face recognition system, addressing the difficult problem of identifying a video face track using a large dictionary of still face images of a few hundred people, while rejecting unknown individuals. A straightforward application of the popular n-minimization for face recognition... | 2013/Ortiz_Face_Recognition_in_2013_CVPR_paper.pdf | @InProceedings{Ortiz_2013_ICCV_Workshops,author = {Ortiz, Enrique G. and Wright, Alan and Shah, Mubarak},title = {Face Recognition in Movie Trailers via Mean Sequence Sparse Representation-Based Classification},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {J... | https://openaccess.thecvf.com/content_cvpr_2013/papers/Ortiz_Face_Recognition_in_2013_CVPR_paper.pdf |
Towards Efficient and Exact MAP-Inference for Large Scale Discrete Computer Vision Problems via Combinatorial Optimization | Jorg Hendrik Kappes, Markus Speth, Gerhard Reinelt, Christoph Schnorr | Discrete graphical models (also known as discrete Markov random fields) are a major conceptual tool to model the structure of optimization problems in computer vision. While in the last decade research has focused on fast approximative methods, algorithms that provide globally optimal solutions have come more into the ... | 2013/Kappes_Towards_Efficient_and_2013_CVPR_paper.pdf | @InProceedings{Kappes_2013_ICCV_Workshops,author = {Hendrik Kappes, Jorg and Speth, Markus and Reinelt, Gerhard and Schnorr, Christoph},title = {Towards Efficient and Exact MAP-Inference for Large Scale Discrete Computer Vision Problems via Combinatorial Optimization},booktitle = {Proceedings of the IEEE Conference on ... | https://openaccess.thecvf.com/content_cvpr_2013/papers/Kappes_Towards_Efficient_and_2013_CVPR_paper.pdf |
Three-Dimensional Bilateral Symmetry Plane Estimation in the Phase Domain | Ramakrishna Kakarala, Prabhu Kaliamoorthi, Vittal Premachandran | We show that bilateral symmetry plane estimation for three-dimensional (3-D) shapes may be carried out accurately, and efficiently, in the spherical harmonic domain. Our methods are valuable for applications where spherical harmonic expansion is already employed, such as 3-D shape registration, morphometry, and retriev... | 2013/Kakarala_Three-Dimensional_Bilateral_Symmetry_2013_CVPR_paper.pdf | @InProceedings{Kakarala_2013_ICCV_Workshops,author = {Kakarala, Ramakrishna and Kaliamoorthi, Prabhu and Premachandran, Vittal},title = {Three-Dimensional Bilateral Symmetry Plane Estimation in the Phase Domain},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {... | https://openaccess.thecvf.com/content_cvpr_2013/papers/Kakarala_Three-Dimensional_Bilateral_Symmetry_2013_CVPR_paper.pdf |
Plane-Based Content Preserving Warps for Video Stabilization | Zihan Zhou, Hailin Jin, Yi Ma | Recently, a new image deformation technique called content-preserving warping (CPW) has been successfully employed to produce the state-of-the-art video stabilization results in many challenging cases. The key insight of CPW is that the true image deformation due to viewpoint change can be well approximated by a carefu... | 2013/Zhou_Plane-Based_Content_Preserving_2013_CVPR_paper.pdf | @InProceedings{Zhou_2013_ICCV_Workshops,author = {Zhou, Zihan and Jin, Hailin and Ma, Yi},title = {Plane-Based Content Preserving Warps for Video Stabilization},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | https://openaccess.thecvf.com/content_cvpr_2013/papers/Zhou_Plane-Based_Content_Preserving_2013_CVPR_paper.pdf |
Multi-attribute Queries: To Merge or Not to Merge? | Mohammad Rastegari, Ali Diba, Devi Parikh, Ali Farhadi | Users often have very specific visual content in mind that they are searching for. The most natural way to communicate this content to an image search engine is to use keywords that specify various properties or attributes of the content. A naive way of dealing with such multi-attribute queries is the following: train ... | 2013/Rastegari_Multi-attribute_Queries_To_2013_CVPR_paper.pdf | @InProceedings{Rastegari_2013_ICCV_Workshops,author = {Rastegari, Mohammad and Diba, Ali and Parikh, Devi and Farhadi, Ali},title = {Multi-attribute Queries: To Merge or Not to Merge?},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2013}} | https://openaccess.thecvf.com/content_cvpr_2013/papers/Rastegari_Multi-attribute_Queries_To_2013_CVPR_paper.pdf |
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