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ORCIDCVPR 2013: Portland, OR, USA
- 2013 IEEE Conference on Computer Vision and Pattern Recognition, Portland, OR, USA, June 23-28, 2013. IEEE Computer Society 2013, ISBN 978-0-7695-4989-7
Orals 1A: 3D Imaging and Reasoning
- Zhaoyin Jia, Andrew C. Gallagher, Ashutosh Saxena, Tsuhan Chen
:
3D-Based Reasoning with Blocks, Support, and Stability. 1-8 - Nikolaos Kyriazis, Antonis A. Argyros:
Physically Plausible 3D Scene Tracking: The Single Actor Hypothesis. 9-16 - Jonathan T. Barron, Jitendra Malik:
Intrinsic Scene Properties from a Single RGB-D Image. 17-24 - Zhe Yang, Zhiwei Xiong, Yueyi Zhang, Jiao Wang, Feng Wu:
Depth Acquisition from Density Modulated Binary Patterns. 25-32 - Wongun Choi, Yu-Wei Chao, Caroline Pantofaru, Silvio Savarese:
Understanding Indoor Scenes Using 3D Geometric Phrases. 33-40
Orals 1B: Statistics and Learning
- Rui Caseiro, Pedro Martins, João F. Henriques, Fatima Silva Leite, Jorge P. Batista:
Rolling Riemannian Manifolds to Solve the Multi-class Classification Problem. 41-48 - Yujia Li, Daniel Tarlow, Richard S. Zemel:
Exploring Compositional High Order Pattern Potentials for Structured Output Learning. 49-56 - Masaki Saito, Takayuki Okatani, Koichiro Deguchi:
Discrete MRF Inference of Marginal Densities for Non-uniformly Discretized Variable Space. 57-64 - Peter Kontschieder, Pushmeet Kohli, Jamie Shotton, Antonio Criminisi:
GeoF: Geodesic Forests for Learning Coupled Predictors. 65-72 - Sadeep Jayasumana, Richard I. Hartley, Mathieu Salzmann, Hongdong Li, Mehrtash Tafazzoli Harandi:
Kernel Methods on the Riemannian Manifold of Symmetric Positive Definite Matrices. 73-80
Posters 1A: 3D and Stereo
- Jinwei Ye, Yu Ji, Jingyi Yu:
Manhattan Scene Understanding via XSlit Imaging. 81-88 - Ilya Reshetouski, Alkhazur Manakov, Ayush Bhandari, Ramesh Raskar, Hans-Peter Seidel, Ivo Ihrke:
Discovering the Structure of a Planar Mirror System from Multiple Observations of a Single Point. 89-96 - Christian Hane, Christopher Zach, Andrea Cohen, Roland Angst, Marc Pollefeys:
Joint 3D Scene Reconstruction and Class Segmentation. 97-104 - Yinpeng Chen, Zicheng Liu, Zhengyou Zhang:
Tensor-Based Human Body Modeling. 105-112 - Aparna Taneja, Luca Ballan, Marc Pollefeys:
City-Scale Change Detection in Cadastral 3D Models Using Images. 113-120 - Sagi Katz, Ayellet Tal:
Improving the Visual Comprehension of Point Sets. 121-128 - Miaomiao Liu, Richard I. Hartley, Mathieu Salzmann:
Mirror Surface Reconstruction from a Single Image. 129-136 - Ken Sakurada, Takayuki Okatani, Koichiro Deguchi:
Detecting Changes in 3D Structure of a Scene from Multi-view Images Captured by a Vehicle-Mounted Camera. 137-144 - Ming Zeng, Jiaxiang Zheng, Xuan Cheng, Xinguo Liu:
Templateless Quasi-rigid Shape Modeling with Implicit Loop-Closure. 145-152 - Luca Del Pero, Joshua Bowdish, Bonnie Kermgard, Emily Hartley, Kobus Barnard:
Understanding Bayesian Rooms Using Composite 3D Object Models. 153-160 - Amy Tabb:
Shape from Silhouette Probability Maps: Reconstruction of Thin Objects in the Presence of Silhouette Extraction and Calibration Error. 161-168 - Ming-Yu Liu, Oncel Tuzel, Yuichi Taguchi:
Joint Geodesic Upsampling of Depth Images. 169-176 - Eno Töppe, Claudia Nieuwenhuis, Daniel Cremers:
Relative Volume Constraints for Single View 3D Reconstruction. 177-184 - Julien Weissenberg, Hayko Riemenschneider, Mukta Prasad, Luc Van Gool:
Is There a Procedural Logic to Architecture? 185-192 - Quanshi Zhang, Xuan Song, Xiaowei Shao, Ryosuke Shibasaki, Huijing Zhao:
Category Modeling from Just a Single Labeling: Use Depth Information to Guide the Learning of 2D Models. 193-200 - Andelo Martinovic, Luc Van Gool:
Bayesian Grammar Learning for Inverse Procedural Modeling. 201-208 - Yuichi Takeda, Shinsaku Hiura, Kosuke Sato:
Fusing Depth from Defocus and Stereo with Coded Apertures. 209-216 - Chen Li, Shuochen Su, Yasuyuki Matsushita, Kun Zhou, Stephen Lin:
Bayesian Depth-from-Defocus with Shading Constraints. 217-224 - Michael Kolomenkin, Ilan Shimshoni, Ayellet Tal:
Multi-scale Curve Detection on Surfaces. 225-232 - Tony Tung, Takashi Matsuyama:
Intrinsic Characterization of Dynamic Surfaces. 233-240 - George Leifman, Ayellet Tal:
Pattern-Driven Colorization of 3D Surfaces. 241-248 - Ramakrishna Kakarala, Prabhu Kaliamoorthi, Vittal Premachandran:
Three-Dimensional Bilateral Symmetry Plane Estimation in the Phase Domain. 249-256 - Kilho Son, Eduardo B. Almeida, David B. Cooper:
Axially Symmetric 3D Pots Configuration System Using Axis of Symmetry and Break Curve. 257-264 - Linjie Luo, Cha Zhang, Zhengyou Zhang, Szymon Rusinkiewicz:
Wide-Baseline Hair Capture Using Strand-Based Refinement. 265-272 - Hee Seok Lee, Kyoung Mu Lee:
Dense 3D Reconstruction from Severely Blurred Images Using a Single Moving Camera. 273-280 - Hee Seok Lee, Kyoung Mu Lee:
Simultaneous Super-Resolution of Depth and Images Using a Single Camera. 281-288 - Armand Joulin, Sing Bing Kang:
Recovering Stereo Pairs from Anaglyphs. 289-296 - David Pfeiffer, Stefan Gehrig, Nicolai Schneider:
Exploiting the Power of Stereo Confidences. 297-304 - Ralf Haeusler, Rahul Nair, Daniel Kondermann:
Ensemble Learning for Confidence Measures in Stereo Vision. 305-312 - Xing Mei, Xun Sun, Weiming Dong, Haitao Wang, Xiaopeng Zhang:
Segment-Tree Based Cost Aggregation for Stereo Matching. 313-320
Posters 1B: Statistics and Learning
- Walon Wei-Chen Chiu, Mario Fritz:
Multi-class Video Co-segmentation with a Generative Multi-video Model. 321-328 - Go Irie, Dong Liu, Zhenguo Li, Shih-Fu Chang:
A Bayesian Approach to Multimodal Visual Dictionary Learning. 329-336 - Andrew Predoehl, Scott Morris, Kobus Barnard:
A Statistical Model for Recreational Trails in Aerial Images. 337-344 - Li He, Hairong Qi, Russell Zaretzki:
Beta Process Joint Dictionary Learning for Coupled Feature Spaces with Application to Single Image Super-Resolution. 345-352 - Yi-Chen Chen, Vishal M. Patel, Jaishanker K. Pillai, Rama Chellappa, P. Jonathon Phillips:
Dictionary Learning from Ambiguously Labeled Data. 353-360 - Sumit Shekhar, Vishal M. Patel, Hien Van Nguyen, Rama Chellappa:
Generalized Domain-Adaptive Dictionaries. 361-368 - Jingjing Zheng, Zhuolin Jiang:
Tag Taxonomy Aware Dictionary Learning for Region Tagging. 369-376 - Yu-Tseh Chi, Mohsen Ali, Ajit Rajwade, Jeffrey Ho:
Block and Group Regularized Sparse Modeling for Dictionary Learning. 377-382 - Li Shen, Shuhui Wang, Gang Sun, Shuqiang Jiang, Qingming Huang:
Multi-level Discriminative Dictionary Learning towards Hierarchical Visual Categorization. 383-390 - Hilton Bristow, Anders P. Eriksson, Simon Lucey:
Fast Convolutional Sparse Coding. 391-398 - Weihong Deng, Jiani Hu, Jun Guo:
In Defense of Sparsity Based Face Recognition. 399-406 - Mingsheng Long, Guiguang Ding, Jianmin Wang, Jiaguang Sun, Yuchen Guo, Philip S. Yu:
Transfer Sparse Coding for Robust Image Representation. 407-414 - Cewu Lu, Jianping Shi, Jiaya Jia:
Online Robust Dictionary Learning. 415-422 - Chunfeng Yuan, Weiming Hu, Guodong Tian, Shuang Yang, Haoran Wang:
Multi-task Sparse Learning with Beta Process Prior for Action Recognition. 423-429 - Xi Peng, Lei Zhang, Zhang Yi:
Scalable Sparse Subspace Clustering. 430-437 - Simon Hawe, Matthias Seibert, Martin Kleinsteuber:
Separable Dictionary Learning. 438-445 - Yue Lin, Rong Jin, Deng Cai, Shuicheng Yan, Xuelong Li:
Compressed Hashing. 446-451 - Shaokang Chen, Conrad Sanderson, Mehrtash Tafazzoli Harandi, Brian C. Lovell:
Improved Image Set Classification via Joint Sparse Approximated Nearest Subspaces. 452-459 - Paul Wohlhart, Martin Köstinger, Michael Donoser, Peter M. Roth, Horst Bischof:
Optimizing 1-Nearest Prototype Classifiers. 460-467 - Bo Wang, Zhuowen Tu:
Sparse Subspace Denoising for Image Manifolds. 468-475 - Roni Mittelman, Honglak Lee, Benjamin Kuipers, Silvio Savarese:
Weakly Supervised Learning of Mid-Level Features with Beta-Bernoulli Process Restricted Boltzmann Machines. 476-483 - Yunchao Gong, Sanjiv Kumar, Henry A. Rowley, Svetlana Lazebnik:
Learning Binary Codes for High-Dimensional Data Using Bilinear Projections. 484-491 - Xiao Liu, Mingli Song, Dacheng Tao, Zicheng Liu, Luming Zhang, Chun Chen, Jiajun Bu:
Semi-supervised Node Splitting for Random Forest Construction. 492-499 - Alessandro Perina, Nebojsa Jojic:
Capturing Layers in Image Collections with Componential Models: From the Layered Epitome to the Componential Counting Grid. 500-507 - Samuel Schulter, Paul Wohlhart, Christian Leistner, Amir Saffari, Peter M. Roth, Horst Bischof:
Alternating Decision Forests. 508-515 - Xiaoshuai Sun, Xin-Jing Wang, Hongxun Yao, Lei Zhang:
Exploring Implicit Image Statistics for Visual Representativeness Modeling. 516-523 - Yan Pan, Hanjiang Lai, Cong Liu, Shuicheng Yan:
A Divide-and-Conquer Method for Scalable Low-Rank Latent Matrix Pursuit. 524-531 - Xuehan Xiong, Fernando De la Torre:
Supervised Descent Method and Its Applications to Face Alignment. 532-539 - Yannis Panagakis, Mihalis A. Nicolaou, Stefanos Zafeiriou, Maja Pantic:
Robust Canonical Time Warping for the Alignment of Grossly Corrupted Sequences. 540-547 - Qiang Zhang, Baoxin Li:
Relative Hidden Markov Models for Evaluating Motion Skill. 548-555 - Lei Wang, Jianjia Zhang, Luping Zhou, Wanqing Li:
A Fast Approximate AIB Algorithm for Distributional Word Clustering. 556-563
Orals 1C: Recognition
- Saurabh Gupta, Pablo Arbelaez, Jitendra Malik:
Perceptual Organization and Recognition of Indoor Scenes from RGB-D Images. 564-571 - Chao-Yeh Chen, Kristen Grauman:
Watching Unlabeled Video Helps Learn New Human Actions from Very Few Labeled Snapshots. 572-579 - Jia Deng, Jonathan Krause, Li Fei-Fei:
Fine-Grained Crowdsourcing for Fine-Grained Recognition. 580-587 - Leonid Pishchulin, Mykhaylo Andriluka, Peter V. Gehler, Bernt Schiele:
Poselet Conditioned Pictorial Structures. 588-595 - Fang Wang, Yi Li:
Beyond Physical Connections: Tree Models in Human Pose Estimation. 596-603
Orals 1D: Imaging and Segmentation
- Uwe Schmidt, Carsten Rother, Sebastian Nowozin, Jeremy Jancsary, Stefan Roth:
Discriminative Non-blind Deblurring. 604-611 - Lin Zhong, Sunghyun Cho, Dimitris N. Metaxas, Sylvain Paris, Jue Wang:
Handling Noise in Single Image Deblurring Using Directional Filters. 612-619 - Gunhee Kim, Eric P. Xing:
Jointly Aligning and Segmenting Multiple Web Photo Streams for the Inference of Collective Photo Storylines. 620-627 - Dong Zhang, Omar Javed, Mubarak Shah:
Video Object Segmentation through Spatially Accurate and Temporally Dense Extraction of Primary Object Regions. 628-635 - Ehsan Shahrian, Deepu Rajan, Brian L. Price, Scott Cohen:
Improving Image Matting Using Comprehensive Sampling Sets. 636-643
Posters 1C: Recognition
- Arijit Biswas, Devi Parikh:
Simultaneous Active Learning of Classifiers & Attributes via Relative Feedback. 644-651 - Gaurav Sharma, Frédéric Jurie, Cordelia Schmid:
Expanded Parts Model for Human Attribute and Action Recognition in Still Images. 652-659 - Liefeng Bo, Xiaofeng Ren, Dieter Fox:
Multipath Sparse Coding Using Hierarchical Matching Pursuit. 660-667 - Jeff Donahue, Judy Hoffman, Erik Rodner, Kate Saenko, Trevor Darrell:
Semi-supervised Domain Adaptation with Instance Constraints. 668-675 - Yangmuzi Zhang, Zhuolin Jiang, Larry S. Davis:
Learning Structured Low-Rank Representations for Image Classification. 676-683 - Amr Bakry, Ahmed M. Elgammal:
MKPLS: Manifold Kernel Partial Least Squares for Lipreading and Speaker Identification. 684-691 - Jie Ni, Qiang Qiu, Rama Chellappa:
Subspace Interpolation via Dictionary Learning for Unsupervised Domain Adaptation. 692-699 - Song Cao, Noah Snavely:
Graph-Based Discriminative Learning for Location Recognition. 700-707 - Zinan Zeng, Shijie Xiao, Kui Jia, Tsung-Han Chan, Shenghua Gao, Dong Xu, Yi Ma:
Learning by Associating Ambiguously Labeled Images. 708-715 - Omar Oreifej, Zicheng Liu:
HON4D: Histogram of Oriented 4D Normals for Activity Recognition from Depth Sequences. 716-723 - Chunfeng Yuan, Xi Li, Weiming Hu, Haibin Ling, Stephen John Maybank:
3D R Transform on Spatio-temporal Interest Points for Action Recognition. 724-730 - Raghuraman Gopalan:
Learning Cross-Domain Information Transfer for Location Recognition and Clustering. 731-738 - Kiwon Yun, Yifan Peng, Dimitris Samaras, Gregory J. Zelinsky, Tamara L. Berg:
Studying Relationships between Human Gaze, Description, and Computer Vision. 739-746 - Takumi Kobayashi:
BFO Meets HOG: Feature Extraction Based on Histograms of Oriented p.d.f. Gradients for Image Classification. 747-754 - Michele Fenzi, Laura Leal-Taixé, Bodo Rosenhahn, Jörn Ostermann:
Class Generative Models Based on Feature Regression for Pose Estimation of Object Categories. 755-762 - Alessandro Bergamo, Sudipta N. Sinha, Lorenzo Torresani:
Leveraging Structure from Motion to Learn Discriminative Codebooks for Scalable Landmark Classification. 763-770 - Felix X. Yu, Liangliang Cao, Rogério Schmidt Feris, John R. Smith, Shih-Fu Chang:
Designing Category-Level Attributes for Discriminative Visual Recognition. 771-778 - Catherine Wah, Serge J. Belongie:
Attribute-Based Detection of Unfamiliar Classes with Humans in the Loop. 779-786 - Babak Saleh, Ali Farhadi, Ahmed M. Elgammal:
Object-Centric Anomaly Detection by Attribute-Based Reasoning. 787-794 - Guang-Tong Zhou, Tian Lan, Weilong Yang, Greg Mori:
Learning Class-to-Image Distance with Object Matchings. 795-802 - Dong Liu, Kuan-Ting Lai, Guangnan Ye, Ming-Syan Chen, Shih-Fu Chang:
Sample-Specific Late Fusion for Visual Category Recognition. 803-810 - Anelia Angelova, Shenghuo Zhu:
Efficient Object Detection and Segmentation for Fine-Grained Recognition. 811-818 - Zeynep Akata, Florent Perronnin, Zaïd Harchaoui, Cordelia Schmid:
Label-Embedding for Attribute-Based Classification. 819-826 - Jian Dong, Wei Xia, Qiang Chen, Jiashi Feng, ZhongYang Huang, Shuicheng Yan:
Subcategory-Aware Object Classification. 827-834 - Asma Rejeb Sfar, Nozha Boujemaa, Donald Geman:
Vantage Feature Frames for Fine-Grained Categorization. 835-842 - Baoyuan Liu, Fereshteh Sadeghi, Marshall F. Tappen, Ohad Shamir, Ce Liu:
Probabilistic Label Trees for Efficient Large Scale Image Classification. 843-850 - Quannan Li, Jiajun Wu, Zhuowen Tu:
Harvesting Mid-level Visual Concepts from Large-Scale Internet Images. 851-858 - Xin Li, Yuhong Guo:
Adaptive Active Learning for Image Classification. 859-866 - Ruobing Wu, Yizhou Yu, Wenping Wang:
SCaLE: Supervised and Cascaded Laplacian Eigenmaps for Visual Object Recognition Based on Nearest Neighbors. 867-874 - Jonghyun Choi, Mohammad Rastegari, Ali Farhadi, Larry S. Davis:
Adding Unlabeled Samples to Categories by Learned Attributes. 875-882 - Akihiko Torii, Josef Sivic, Tomás Pajdla, Masatoshi Okutomi:
Visual Place Recognition with Repetitive Structures. 883-890 - Tsung-Yi Lin, Serge J. Belongie, James Hays:
Cross-View Image Geolocalization. 891-898 - Qiang Hao, Rui Cai, Zhiwei Li, Lei Zhang, Yanwei Pang, Feng Wu, Yong Rui:
Efficient 2D-to-3D Correspondence Filtering for Scalable 3D Object Recognition. 899-906 - Petr Gronát, Guillaume Obozinski, Josef Sivic, Tomás Pajdla:
Learning and Calibrating Per-Location Classifiers for Visual Place Recognition. 907-914 - Chunyu Wang, Yizhou Wang, Alan L. Yuille:
An Approach to Pose-Based Action Recognition. 915-922 - Mayank Juneja, Andrea Vedaldi, C. V. Jawahar, Andrew Zisserman:
Blocks That Shout: Distinctive Parts for Scene Classification. 923-930 - Subhransu Maji, Gregory Shakhnarovich:
Part Discovery from Partial Correspondence. 931-938 - Ian Endres, Kevin J. Shih, Johnston Jiaa, Derek Hoiem:
Learning Collections of Part Models for Object Recognition. 939-946 - Dan Levi, Shai Silberstein, Aharon Bar-Hillel:
Fast Multiple-Part Based Object Detection Using KD-Ferns. 947-954 - Thomas Berg, Peter N. Belhumeur:
POOF: Part-Based One-vs.-One Features for Fine-Grained Categorization, Face Verification, and Attribute Estimation. 955-962
Posters 1D: Imaging
- Zicheng Liao, Jason Rock, Yang Wang, David A. Forsyth:
Non-parametric Filtering for Geometric Detail Extraction and Material Representation. 963-970 - Jianzhou Yan, Stephen Lin, Sing Bing Kang, Xiaoou Tang:
Learning the Change for Automatic Image Cropping. 971-978 - Christian Scharfenberger, Alexander Wong, Khalil Fergani, John S. Zelek, David A. Clausi:
Statistical Textural Distinctiveness for Salient Region Detection in Natural Images. 979-986 - Peng Ye, Jayant Kumar, Le Kang, David S. Doermann:
Real-Time No-Reference Image Quality Assessment Based on Filter Learning. 987-994