CVPR 2007 Program

 

CVPR 2007 Organizers and Reviewers [PDF]

Welcome message from the General Chairs and the Program Chairs [PDF]

 

CVPR2007 Corporate sponsors

                    

                  

                  

                  

 


Tuesday, June 19

7:45am - 8:30am: Breakfast (Exhibit Hall)

8:30am - 10:10am: Oral session 1A: Matching and Features (Nicollet AB)

  • Eric Nowak and Frederic Jurie, Learning Visual Similarity Measures for Comparing Never Seen Objects [paper (PDF)]
  • Hervé Jégou, Hedi Harzallah, and Cordelia Schmid, A contextual dissimilarity measure for accurate and efficient image search [paper (PDF)]
  • Simon Winder and Matthew Brown, Learning Local Image Descriptors [paper (PDF)] [supplemental material]
  • Hongli Deng, Wei Zhang, Eric Mortensen, Thomas Dietterich, and Linda Shapiro, Principal Curvature-Based Region Detector for Object Recognition [paper (PDF)]
  • Alexander Toshev, Jianbo Shi, and Kostas Daniilidis, Image Matching via Salient Region Correspondences [paper (PDF)]

8:30am - 10:10am: Oral session 1B: Motion Segmentation and Tracking (Nicollet CD)

  • Roberto Tron and Rene Vidal, A Benchmark for the Comparison of 3-D Motion Segmentation Algorithms [paper (PDF)]
  • Hongdong Li, Two-view Motion Segmentation from Linear Programming Relaxation [paper (PDF)]
  • Le Lu and Gregory Hager, A Nonparametric Treatment for Location/Segmentation Based Visual Tracking [paper (PDF)] [supplemental material]
  • Saad Ali and Mubarak Shah, A Lagrangian Particle Dynamics Approach for Crowd Flow Segmentation and Stability Analysis [paper (PDF)] [supplemental material]
  • Hua Yang, Marc Pollefeys, Greg Welch, Jan-Michael Frahm, and Adrian Ilie, Differential Camera Tracking through Linearizing the Local Appearance Manifold [paper (PDF)]

10:30am - 12:30pm: Poster session 1 (Exhibit Hall)

Learning and Pattern Recognition 1

  • Marshall Tappen, Ce Liu, William Freeman, and Edward Adelson, Learning Gaussian Conditional Random Fields for Low-Level Vision [paper (PDF)]
  • Kent Shi and Song-Chun Zhu, Mapping Natural Image Patches by Explicit and Implicit Manifolds [paper (PDF)]
  • Jun Li and Pengwei Hao, Hierarchical Structuring of Data on Manifolds [paper (PDF)] [supplemental material]
  • Lie Gu, Eric Xing, and Takeo Kanade, Learning GMRF Structures for Spatial Priors [paper (PDF)]
  • Huan Wang, Shuicheng Yan, Dong Xu, Xiaoou Tang, and Thomas Huang, Trace Ratio vs. Ratio Trace for Dimensionality Reduction [paper (PDF)]
  • Shuicheng Yan, Dong Xu, Stephen Lin, Thomas Huang, and Shih-Fu Chang, Element Rearrangement for Tensor-Based Subspace Learning [paper (PDF)]
  • Tae-Kyun Kim, Shu-Fai Wong, Bjorn Stenger, Josef Kittler, and Roberto Cipolla, Incremental Linear Discriminant Analysis Using Sufficient Spanning Set Approximations [paper (PDF)]
  • Tanveer Syeda-Mahmood and Fei Wang, Unsupervised Clustering using Mutli-resolution Perceptual Grouping [paper (PDF)]

Optical Flow and Tracking 1

  • Alper Yilmaz, Object Tracking by Asymmetric Kernel Mean Shift with Automatic Scale and Orientation Selection [paper (PDF)] [supplemental material]
  • Andriy Myronenko, Xubo Song, and Miguel Carreira-Perpinan, Free-Form Nonrigid Image Registration Using Generalized Elastic Nets. [paper (PDF)] [supplemental material]
  • Robin Hess and Alan Fern, Improved Video Registration using Non-Distinctive Local Image Features [paper (PDF)] [supplemental material]
  • Yu-Wing Tai, Michael Brown, and Chi-Keung Tang, Robust Estimation of Texture Flow Distortion via Dense Feature Sampling [paper (PDF)]
  • Qian Yu, Gérard Medioni, and Isaac Cohen, Multiple Target Tracking Using Spatio-Temporal Markov Chain Monte Carlo Data Association [paper (PDF)]
  • Hao Wu, Aswin Sankaranarayanan, and Rama Chellappa, In situ Evaluation of Tracking Algorithms using Time Reversed Chains [paper (PDF)]
  • Geraldo Silveira and Ezio Malis, Real-time Visual Tracking under Arbitrary Illumination Changes [paper (PDF)] [supplemental material]
  • Margrit Betke, Diane Hirsh, Angshuman Bagchi, Nickolay Hristov, Nicholas Makris, and Thomas Kunz, Tracking Large Variable Numbers of Objects in Clutter [paper (PDF)]
  • Michael Grabner, Helmut Grabner, and Horst Bischof, Learning Features for Tracking [paper (PDF)] [supplemental material]
  • Antoni Chan and Nuno Vasconcelos, Classifying Video with Kernel Dynamic Textures [paper (PDF)] [supplemental material]

Sensing, Photometrics, and Image Processing 1

  • Raghav Subbarao and Peter Meer, Discontinuity Preserving Filtering over Analytic Manifolds [paper (PDF)]
  • Adrien Bartoli, Mathieu Perriollat, and Sylvie Chambon, Generalized Thin-Plate Spline Warps [paper (PDF)]
  • Yong Seok Heo, Kyoung Mu Lee, and Sang Uk Lee, Simultaneous depth reconstruction and restoration of noisy stereo images using Non-local Pixel Distribution [paper (PDF)]
  • Tian-Tsong Ng, Shih-Fu Chang, and Mao-Pei Tsui, Using Geometry Invariants for Camera Response Function Estimation [paper (PDF)]
  • Wei Fan and Dit-Yan Yeung, Image Hallucination Using Neighbor Embedding over Visual Primitive Manifolds [paper (PDF)]
  • Lidan Miao and Hairong Qi, A Blind Source Separation Perspective on Image Restoration [paper (PDF)]
  • Nigel Morris, Shai Avidan, Wojciech Matusik, and Hanspeter Pfister, Statistics of Infrared Images [paper (PDF)]
  • Youngbae Hwang, Jun-Sik Kim, and In-So Kweon, Sensor noise modeling using the Skellam distribution: Application to the color edge detection [paper (PDF)] [supplemental material]
  • Yasuyuki Matsushita and Stephen Lin, A Probabilistic Intensity Similarity Measure based on Noise Distributions [paper (PDF)]
  • Jue Wang and Michael Cohen, Optimized Color Sampling for Robust Matting [paper (PDF)]

Segmentation 1

  • Shifeng Chen, Liangliang Cao, Jianzhuang Liu, and Xiaoou Tang, Iterative MAP and ML Estimations for Image Segmentation [paper (PDF)]
  • Pei Yin, Antonio Criminisi, John Winn, and Irfan Essa, Tree-based Classifiers for Bilayer Video Segmentation [paper (PDF)] [supplemental material]
  • Guillaume Charpiat, Olivier Faugeras, and Renaud Keriven, Shape statistics for image segmentation with prior [paper (PDF)] [supplemental material]
  • Yogesh Rathi, Oleg Michailovich, and Allen Tannenbaum, Segmenting Images on the Tensor Manifold [paper (PDF)]
  • Himanshu Arora, Nicolas Loeff, David Forsyth, and Narendra Ahuja, Unsupervised Segmentation of Objects using Efficient Learning [paper (PDF)]
  • Daniel Cremers, Nonlinear Dynamical Shape Priors for Level Set Segmentation [paper (PDF)]
  • Greg Slabaugh, H. Quynh Dinh, and Gozde Unal, A Variational Approach to the Evolution of Radial Basis Functions for Image Segmentation [paper (PDF)]
  • Chunming Li, Chiu-Yen Kao, John C. Gore, and Zhaohua Ding, Implicit Active Contours Driven by Local Binary Fitting Energy [paper (PDF)]
  • Ian Simon and Steven M. Seitz, A Probabilistic Model for Object Recognition, Segmentation, and Non-Rigid Correspondence [paper (PDF)]
  • Jianhua Yan, Keqi Zhang, Zhengcui Zhang, Shu-Ching Chen, and Giri Narasimhan, A Graph Reduction Method for 2D Snake Problems [paper (PDF)]
  • Sharon Alpert, Meirav Galun, Ronen Basri, and Achi Brandt, Image Segmentation by Probabilistic Bottom-Up Aggregation and Cue Integration [paper (PDF)] [supplemental material]

Shape 1

  • Pedro Felzenszwalb and Joshua Schwartz, Hierarchical Matching of Deformable Shapes [paper (PDF)]
  • Jean-Philippe Pons and Jean-Daniel Boissonnat, Delaunay Deformable Models: Topology-Adaptive Meshes Based on the Restricted Delaunay Triangulation [paper (PDF)] [supplemental material]
  • Ady Ecker, Kiriakos Kutulakos, and Allan Jepson, Shape from Planar Curves: A Linear Escape from Flatland [paper (PDF)]
  • Xiaofeng Ren, Learning and Matching Line Aspects for Articulated Objects [paper (PDF)]
  • Jianke Zhu, Steven C.H. Hoi, and Michael R. Lyu, A Multi-Scale Tikhonov Regularization Scheme for Implicit Surface Modelling [paper (PDF)]
  • Huijun Di, Naveed Rao, Guangyou Xu, and Linmi Tao, Groupwise Shape Registration on Raw Edge Sequence via A Spatio-Temporal Generative Model [paper (PDF)]

Navigation and SLAM

  • Anelia Angelova, Larry Matthies, Daniel Helmick, and Pietro Perona, Fast Terrain Classification Using Variable-Length Representation for Autonomous Navigation [paper (PDF)]
  • Siniša Šegvić, Anthony Remazeilles, Albert Diosi, and François Chaumette, Large scale vision based navigation without an accurate global reconstruction [paper (PDF)] [supplemental material]
  • Denis Chekhlov, Mark Pupilli, Walterio Mayol, and Andrew Calway, Robust Real-Time Visual SLAM Using Scale Prediction and Exemplar Based Feature Description [paper (PDF)] [supplemental material]
  • Olivier Koch and Seth Teller, Wide-Area Egomotion Estimation from Known 3D Structure [paper (PDF)] [supplemental material]

2:00pm - 3:00pm: Oral session 2A: Enhancement 1: Blur and Resolution (Nicollet AB)

  • Shengyang Dai, Mei Han, Wei Xu, Ying Wu, and Yihong Gong, Soft Edge Smoothness Prior for Alpha Channel Super Resolution [paper (PDF)]
  • Jiaya Jia, Single Image Motion Deblurring Using Transparency [paper (PDF)]
  • Amit Agrawal and Ramesh Raskar, Resolving Objects at Higher Resolution from a Single Motion-blurred Image [paper (PDF)]

2:00pm - 3:00pm: Oral session 2B: Medical (Nicollet CD)

  • Joseph Schlecht, Kobus Barnard, Ekaterina Spriggs, and Barry Pryor, Inferring Grammar-based Structure Models from 3D Microscopy Data [paper (PDF)]
  • Yang Li, Tiow-Seng Tan, Ihar Volkau, and Wieslaw Nowinski, Model-Guided Segmentation of 3D Neuroradiological Image Using Statistical Surface Wavelet Model [paper (PDF)]
  • Adrian Barbu, Vassilis Athitsos, Bogdan Georgescu, Stefan Boehm, Peter Durlak, and Dorin Comaniciu, Hierarchical Learning of Curves; Application to Guidewire Localization in Fluoroscopy [paper (PDF)] [supplemental material]

3:00pm - 3:10pm: Break (Exhibit Hall)

3:10pm - 5:10pm: Poster session 2 (Exhibit Hall)

Learning and Pattern Recognition 2

  • Tian-Fu Wu, Gui-Song Xia, and Song-Chun Zhu, Compositional Boosting for Computing Hierarchical Image Structures [paper (PDF)] [supplemental material]
  • Zhuowen Tu, Learning Generative Models via Discriminative Approaches [paper (PDF)]
  • Roland Memisevic and Geoffrey Hinton, Unsupervised Learning of Image Transformations [paper (PDF)]
  • Marshall Tappen, Utilizing Variational Optimization to Learn Markov Random Fields [paper (PDF)]
  • Pablo Arias, Gregory Randall, and Guillermo Sapiro, Connecting the Out-of-Sample and Pre-Image Problems in Kernel Methods [paper (PDF)]
  • Haixian Wang, Wenming Zheng, Zilan Hu, and Sibao Chen, Local and Weighted Maximum Margin Discriminant Analysis [paper (PDF)]
  • Jianhui Chen, Jieping Ye, and Qi Li, Integrating Global and Local Structures: A Least Squares Framework for Dimensionality Reduction [paper (PDF)]
  • Helmut Grabner, Peter Roth, and Horst Bischof, Eigenboosting: Combining Discriminative and Generative Information [paper (PDF)]

Recognition and Detection 1

  • Bo Wu and Ram Nevatia, Simultaneous Object Detection and Segmentation by Boosting Local Shape Feature based Classifier [paper (PDF)]
  • Vittorio Ferrari, Frederic Jurie, and Codelia Schmid, Accurate Object Detection with Deformable Shape Models Learnt from Images [paper (PDF)]
  • Han-Pang Chiu, Tomas Lozano-Perez, and Leslie Kaelbling, Virtual Training for Multi-View Object Class Recognition [paper (PDF)]
  • Derek Hoiem, Carsten Rother, and John Winn, 3D LayoutCRF for Multi-View Object Class Recognition and Segmentation [paper (PDF)]
  • Piotr Dollár, Zhuowen Tu, Hai Tao, and Serge Belongie, Feature Mining for Image Classification [paper (PDF)]
  • Tie Liu, Jian Sun, Nan-Ning Zheng, Xiaoou Tang, and Heung-Yeung Shum, Learning to Detect A Salient Object [paper (PDF)]
  • Li-Jia Li, Gang Wang, and Li Fei-Fei, OPTIMOL: automatic Object Picture collecTion via Incremental MOdel Learning [paper (PDF)]
  • Zaid Harchaoui and Francis Bach, Image Classification with Segmentation Graph Kernels [paper (PDF)]
  • Ondrej Chum and Andrew Zisserman, An Exemplar Model for Learning Object Classes [paper (PDF)]
  • Timothee Cour and Jianbo Shi, Recognizing objects by piecing together the Segmentation Puzzle [paper (PDF)]

Faces and Biometrics 1

  • Dahua Lin and Xiaoou Tang, Quality-Driven Face Occlusion Detection and Recovery [paper (PDF)]
  • Shalini Gupta, J. K. Aggarwal, Mia K. Markey, and Alan C. Bovik, 3D Face Recognition Founded on the Structural Diversity of Human Faces [paper (PDF)]
  • Deng Cai, Xiaofei He, Yuxiao Hu, Jiawei Han, and Thomas Huang, Learning a Spatially Smooth Subspace for Face Recognition [paper (PDF)]
  • Jinli Suo, Feng Min, SongChun Zhu, Shiguang Shan, and Xilin Chen, A Multi-Resolution Dynamic Model for Face Aging Simulation [paper (PDF)]
  • Fernando De la Torre, Alvaro Collet, Manuel Quero, Jeff Cohn, and Takeo Kanade, Filtered Component Analysis to Increase Robustness to Local Minima in Appearance Models [paper (PDF)]
  • Dragomir Anguelov, Kuang-Chih Lee, Salih Burak Gokturk, and Baris Sumengen, Contextual Identity Recognition in Personal Photo Albums [paper (PDF)]
  • Jason Saragih and Roland Goecke, Monocular and Stereo Methods for AAM Learning from Video [paper (PDF)]
  • Peng Yang, Qingshan Liu, and Dimitris Metaxas, Boosting Coded Dynamic Features for Facial Action Units and Facial Expression Recognition [paper (PDF)]
  • Peter Tu, Rebecca Book, Xiaoming Liu, Nils Krahnstoever, Carl Adrian, and Phil Williams, Automatic Face Recognition from Skeletal Remains [paper (PDF)] [supplemental material]
  • Peng Wang, Christian Kohler, Fred Barrett, Raquel Gur, Ruben Gur, and Ragini Verma, Quantifying Facial Expression Abnormality in Schizophrenia by Combining 2D and 3D Features [paper (PDF)]

Geometry and Structure-From-Motion 1

  • Jean-Philippe Tardif, Adrien Bartoli, Martin Trudeau, Nicolas Guilbert, and Sébastien Roy, Algorithms for Batch Matrix Factorization with Application to Structure-from-Motion [paper (PDF)]
  • Zuzana Kukelova and Tomas Pajdla, A minimal solution to the autocalibration of radial distortion [paper (PDF)]
  • Yaser Sheikh, Asaad Hakeem, and Mubarak Shah, On the Direct Estimation of the Fundamental Matrix [paper (PDF)]
  • Christopher Geyer and Henrik Stewénius, Nine-point Algorithm for Para-catadioptric Fundamental Matrices [paper (PDF)]
  • Benoît Bocquillon, Adrien Bartoli, Pierre Gurdjos, and Alain Crouzil, On Constant Focal Length Self-Calibration From Multiple Views [paper (PDF)]
  • Manmohan Chandraker, Sameer Agarwal, Fredrik Kahl, David Nistér, and David Kriegman, Autocalibration via Rank-Constrained Estimation of the Absolute Quadric [paper (PDF)]
  • Hongdong Li, A Practical Algorithm for L Triangulation with Outliers [paper (PDF)]

Surveillance and Change Detection

  • Yanlin Guo, Ying Shan, Harpreet Sawhney, and Rakesh Kumar, PEET: Prototype Embedding and Embedding Transition for Matching Vehicles over Disparate Viewpoints [paper (PDF)]
  • Saad Ali, Vladimir Reilly, and Mubarak Shah, Motion and Appearance Contexts for Tracking and Re-Acquiring Targets in Aerial Videos [paper (PDF)]
  • Faisal Qureshi and Demetri Terzopoulos, Surveillance in Virtual Reality: System Design and Multicamera Control [paper (PDF)]
  • Xiaogang Wang, Xiaoxu Ma, and Eric Grimson, Unsupervised Activity Perception by Hierarchical Bayesian Models [paper (PDF)]
  • Thomas Pollard and Joseph Mundy, Change Detection in a 3-d World [paper (PDF)]
  • Benjamin Laxton, Jongwoo Lim, and David Kriegman, Leveraging temporal, contextual and ordering constraints for recognizing complex activities in video [paper (PDF)] [supplemental material]
  • Harini Veeraraghavan, Paul Schrater, and Nikos Papanikolopoulos, Learning Dynamic Event Descriptions in Image Sequences [paper (PDF)]
  • Zhang Zhang, Kaiqi Huang, Tieniu Tan, and Liangsheng Wang, Trajectory Series Analysis based Event Rule Induction for Visual Surveillance [paper (PDF)]

Graphics and Computational Photography

  • Oliver Woodford, Ian Reid, and Andrew Fitzgibbon, Efficient new-view synthesis using pairwise dictionary priors [paper (PDF)]
  • Victor Lempitsky and Denis Ivanov, Seamless Mosaicing of Image-Based Texture Maps [paper (PDF)] [supplemental material]
  • Jue Wang and Michael Cohen, Simultaneous Matting and Compositing [paper (PDF)]
  • Jian Sun, Sing Bing Kang, Zongben Xu, Xiaoou Tang, and Heung-Yeung Shum, Flash Cut: Foreground Extraction with Flash and No-flash Image Pairs [paper (PDF)]
  • Eli Arbel and Hagit Hel-Or, Texture-Preserving Shadow Removal in Color Images Containing Curved Surfaces [paper (PDF)]
  • Matthew Brown, Richard Hartley, and David Nistér, Minimal Solutions for Panoramic Stitching [paper (PDF)]

5:10pm - 6:30pm: Oral session 3A: Learning and Shape (Nicollet AB)

  • Minh-Tri Pham and Tat-Jen Cham, Online Learning Asymmetric Boosted Classifiers for Object Detection [paper (PDF)]
  • Yen-Yu Lin, Tyng-Luh Liu, and Chiou-Shann Fuh, Local Ensemble Kernel Learning for Object Category Recognition [paper (PDF)]
  • Marcin Marszalek and Cordelia Schmid, Accurate Object Localization with Shape Masks [paper (PDF)]
  • Boris Epshtein and Shimon Ullman, Semantic Hierarchies for Recognizing Objects and Parts [paper (PDF)]

5:10pm - 6:30pm: Oral session 3B: 3D and Geometry (Nicollet CD)

  • Taragay Oskiper, Zhiwei Zhu, Supun Samarasekera, and Rakesh Kumar, Visual Odometry System Using Multiple Stereo Cameras and Inertial Measurement Unit [paper (PDF)] [supplemental material]
  • Grant Schindler, Frank Dellaert, and Sing Bing Kang, Inferring Temporal Order of Images From 3D Structure [paper (PDF)] [supplemental material]
  • David Nistér, Richard Hartley, and Henrik Stewénius, Using Galois Theory to Prove Structure from Motion Algorithms are Optimal [paper (PDF)]
  • Ting Li, Vinutha Kallem, Dheeraj Singaraju, and Rene Vidal, Projective Factorization of Multiple Rigid-Body Motions [paper (PDF)]

6:30pm - 8:00pm: Reception (Exhibit Hall)

8:00pm - 9:30pm: PAMI-TC Meeting (Nicollet AB)

Wednesday, June 20

7:45am - 8:30am: Breakfast (Exhibit Hall)

8:30am - 10:10am: Oral session 1: Recognition, Learning, and Optimization (Nicollet ABCD)

  • Marius Leordeanu, Martial Hebert, and Rahul Sukthankar, Beyond Local Appearance: Category Recognition from Pairwise Interactions of Simple Features [paper (PDF)]
  • Yair Weiss and Bill Freeman, What makes a good model of natural images ? [paper (PDF)]
  • Murat Dundar and Jinbo Bi, Joint Optimization of Cascaded Classifiers for Computer Aided Detection [paper (PDF)]
  • Brian Potetz, Efficient Belief Propagation for Vision Using Linear Constraint Nodes [paper (PDF)]
  • Nikos Komodakis, Georgios Tziritas, and Nikos Paragios, Fast, Approximately Optimal Solutions for Single and Dynamic MRFs [paper (PDF)]

10:20am - 10:30am: Break (Exhibit Hall)

10:30am - 12:30pm: Poster session 1 (Exhibit Hall)

Learning and Pattern Recognition 3

  • Andy Tsai, Carl-Fredrik Westin, Alfred Hero, and Alan Willsky, Fiber Tract Clustering on Manifolds With Dual Rooted-Graphs [paper (PDF)]
  • Vincent Cheung, Nebojsa Jojic, and Dimitris Samaras, Capturing long-range correlations with patch models [paper (PDF)] [supplemental material]
  • Jakob Verbeek and Bill Triggs, Region Classification with Markov Field Aspect Models [paper (PDF)]
  • Lior Wolf, Hueihan Jhuang, and Tamir Hazan, Modeling Appearances with Low-Rank SVM [paper (PDF)]
  • Julia Lasserre, Anitha Kannan, and John Winn, Hybrid Learning of Large Jigsaws [paper (PDF)]
  • Takayuki Okatani and Koichiro Deguchi, Variational Bayes Approach to Robust Subspace Learning [paper (PDF)]
  • Chao Yuan and Claus Neubauer, A Variational Bayesian Approach for Classification with Corrupted Inputs [paper (PDF)]
  • Jieping Ye, Zheng Zhao, and Huan Liu, Adaptive Distance Metric Learning for Clustering [paper (PDF)]

Faces and Biometrics 2

  • Zhifeng Li, Dahua Lin, Helen Meng, and Xiaoou Tang, Discriminant Mutual Subspace Learning for Indoor and Outdoor Face Recognition [paper (PDF)]
  • Senjian An, Wanquan Liu, and Svetha Venkatesh, Face Recognition Using Kernel Ridge Regression [paper (PDF)]
  • Yang Wang, Zicheng Liu, Gang Hua, Zhen Wen, Zhengyou Zhang, and Dimitris Samaras, Face Re-Lighting from a Single Image under Harsh Lighting Conditions [paper (PDF)] [supplemental material]
  • Gang Hua, Paul Viola, and Steven Drucker, Face Recognition using Discriminatively Trained Orthogonal Rank One Tensor Projections [paper (PDF)]
  • Dirk Colbry and George Stockman, Canonical Face Depth Map: A Robust 3D Representation for Face Verification [paper (PDF)]
  • Ryan Kerekes, Balakrishnan Narayanaswamy, Jason Thornton, Marios Savvides, and B.V.K. Vijaya Kumar, Graphical Model Approach to Iris Matching Under Deformation and Occlusion [paper (PDF)]
  • Terrance Boult, Walter Scheirer, and Robert Woodworth, Revocable Fingerprint Biotokens: Accuracy and Security Analysis [paper (PDF)]
  • Carlos Castillo and David Jacobs, Using Stereo Matching for 2-D Face Recognition Across Pose [paper (PDF)]
  • Rong Wang and Bir Bhanu, On the Performance Prediction and Validation for Multisensor Fusion [paper (PDF)]

Geometry and Structure-From-Motion 2

  • Henrik Stewénius, Chris Engels, and David Nistér, An Efficient Minimal Solution for Infinitesimal Camera Motion [paper (PDF)]
  • Yaser Sheikh, Alexei Gritai, and Mubarak Shah, On the Spacetime Geometry of Galilean Cameras [paper (PDF)]
  • Daniel Martinec and Tomas Pajdla, Robust Rotation and Translation Estimation in Multiview Reconstruction [paper (PDF)]
  • Tsuyoshi Migita and Takeshi Shakunaga, Evaluation of Epipole Estimation Methods with/without Rank-2 Constraint across Algebraic/Geometric Error Functions [paper (PDF)]
  • Andrea Vedaldi, Gregorio Guidi, and Stefano Soatto, Moving Forward in Structure From Motion [paper (PDF)]
  • Guofeng Zhang, Xueying Qin, Wei Hua, Tien-Tsin Wong, Pheng-Ann Heng, and Hujun Bao, Robust Metric Reconstruction from Challenging Video Sequences [paper (PDF)] [supplemental material]
  • Omar Ait-Aider, Adrien Bartoli, and Nicolas Andreff, Kinematics from Lines in a Single Rolling Shutter Image [paper (PDF)]

Features, Regions, and Boundaries

  • Per-Erik Forssen, Maximally Stable Colour Regions for Recognition and Matching [paper (PDF)]
  • Dashan Gao and Nuno Vasconcelos, Discriminant Interest Points are Stable [paper (PDF)]
  • Stanley Bileschi and Lior Wolf, Image representations beyond histograms of gradients: The role of Gestalt descriptors [paper (PDF)] [supplemental material]
  • Mustafa Özuysal, Pascal Fua, and Vincent Lepetit, Fast Keypoint Recognition in Ten Lines of Code [paper (PDF)] [supplemental material]
  • Wang Fei and Zhang Changshui, Feature Extraction by Maximizing the Average Neighborhood Margin [paper (PDF)]
  • Deli Zhao, Zhouchen Lin, Rong Xiao, and Xiaoou Tang, Linear Laplacian Discrimination for Feature Extraction [paper (PDF)]
  • Lech Szumilas, René Donner, Georg Langs, and Allan Hanbury, Local Image Structure Detection with Orientation-invariant Radial Configuration [paper (PDF)]
  • Xi Chen and Tat-Jen Cham, High Distortion and Non-Structural Image Matching via Feature Co-occurrence [paper (PDF)]

Body Tracking, Gait, and Gesture 1

  • Bodo Rosenhahn, Thomas Brox, and Hans-Peter Seidel, Scaled Motion Dynamics for Markerless Motion Capture [paper (PDF)] [supplemental material]
  • Alessandro Bissacco, Ming-Hsuan Yang, and Stefano Soatto, Fast Human Pose Estimation using Appearance and Motion via Multi-Dimensional Boosting Regression [paper (PDF)]
  • Patrick Peursum, Svetha Venkatesh, and Geoff West, Tracking-as-Recognition for Articulated Full-Body Human Motion Analysis [paper (PDF)]
  • Fengjun Lv and Ramakant Nevatia, Single View Human Action Recognition using Key Pose Matching and Viterbi Path Searching [paper (PDF)]
  • Juan Carlos Niebles and Li Fei-Fei, A Hierarchical Model of Shape and Appearance for Human Action Classification [paper (PDF)]
  • Vinay Shet, Jan Neumann, Visvanathan Ramesh, and Larry Davis, Bilattice-based Logical Reasoning for Human Detection [paper (PDF)] [supplemental material]
  • Payam Sabzmeydani and Greg Mori, Detecting Pedestrians by Learning Shapelet Features [paper (PDF)]
  • Naresh Cuntoor and Rama Chellappa, Epitomic Representation of Human Activities [paper (PDF)]
  • Thomas Deselaers, Antonio Criminisi, John Winn, and Ankur Agarwal, Incorporating On-demand Stereo for Real Time Recognition [paper (PDF)]
  • Tae-Kyun Kim, Shu-Fai Wong, and Roberto Cipolla, Tensor Canonical Correlation Analysis for Action Classification [paper (PDF)]
  • Seungkyu Lee, Yanxi Liu, and Robert Collins, Shape Variation-Based Frieze Pattern for Robust Gait Recognition [paper (PDF)]

Medical Imaging 1

  • Shaohua Kevin Zhou, Jinghao Zhou, and Dorin Comaniciu, A boosting regression approach to medical anatomy detection [paper (PDF)]
  • Xubo Song, Andriy Myronenko, and David Sahn, Speckle Tracking in 3D Echocardiography with Motion Coherence [paper (PDF)]
  • Jinbo Bi and Jianming Liang, Multiple Instance Learning of Pulmonary Embolism Detection with Geodesic Distance along Vascular Structure [paper (PDF)]
  • Maneesh Dewan, Christine Lorenz, and Gregory Hager, Deformable Motion Tracking of Cardiac Structures (DEMOTRACS) for Improved MR Imaging [paper (PDF)] [supplemental material]
  • Pahal Dalal, Brent Munsell, Song Wang, Jijun Tang, Kenton Oliver, Hiroaki Ninomiya, Xiangrong Zhou, and Hiroshi Fujita, A Fast 3D Correspondence Method for Statistical Shape Modeling [paper (PDF)]
  • Igor Yanovsky, Paul Thompson, Stanley Osher, and Alex Leow, Topology Preserving Log-Unbiased Nonlinear Image Registration: Theory and Implementation [paper (PDF)]

2:00pm - 3:00pm: Oral session 2: 3D/Graphics (Nicollet ABCD)

3:00pm - 3:10pm: Break (Exhibit Hall)

3:10pm - 5:10pm: Poster session 2 (Exhibit Hall)

Recognition and Detection 2

  • Bo Wu and Ram Nevatia, Improving Part based Object Detection by Unsupervised, Online Boosting [paper (PDF)]
  • Akash Kushal, Cordelia Schmid, and Jean Ponce, Flexible Object Models for Category-Level 3D Object Recognition [paper (PDF)]
  • Grant Schindler, Matthew Brown, and Richard Szeliski, City-Scale Location Recognition [paper (PDF)]
  • Fernando De la Torre and Oriol Vinyals, Learning Kernel Expansions for Image Classification [paper (PDF)]
  • Guo-Jun Qi, Xian-Sheng Hua, Yong Rui, Tao Mei, Jinhui Tang, and Hong-Jiang Zhang, Concurrent Multiple Instance Learning for Image Categorization [paper (PDF)]
  • Quan Yuan, Ashwin Thangali, Vitaly Ablavsky, and Stan Sclaroff, Parameter Sensitive Detectors [paper (PDF)]
  • Björn Ommer and Joachim Buhmann, Learning the Compositional Nature of Visual Objects [paper (PDF)]
  • David Crandall and Daniel Huttenlocher, Composite Models of Objects and Scenes for Category Recognition [paper (PDF)]
  • Shengye Yan, Shiguang Shan, Xilin Chen, Wen Gao, and Jie Chen, Matrix-Structural Learning (MSL) of Cascaded Classifier from Enormous Training Set [paper (PDF)]
  • Marc'Aurelio Ranzato, Fu-Jie Huang, Y-Lan Boureau, and Yann LeCun, Unsupervised learning of invariant feature hierarchies, with application to object recognition [paper (PDF)]

3D Reconstruction and Processing 1

  • Zhenguo Li, Jianzhuang Liu, and Xiaoou Tang, A Closed-form Solution to 3D Reconstruction of Piecewise Planar Objects from Single Images [paper (PDF)]
  • Miao Liao, Liang Wang, Ruigang Yang, and Minglun Gong, Light Fall-off Stereo [paper (PDF)]
  • Akihito Seki and Masatoshi Okutomi, Simultaneous Optimization of Structure and Motion in Dynamic Scenes Using Unsynchronized Stereo Cameras [paper (PDF)]
  • Li Yi and David Jacobs, Efficiently Determining Silhouette Consistency [paper (PDF)]
  • Netanel Ratner and Yoav Y. Schechner, Illumination Multiplexing within Fundamental Limits [paper (PDF)]
  • Stas Rozenfeld, Ilan Shimshoni, and Michael Lindenbaum, Dense mirroring surface recovery from 1D homographies and sparse correspondences [paper (PDF)]
  • Maxime Lhuillier, Toward Flexible 3D Modeling using a Catadioptric Camera [paper (PDF)] [supplemental material]
  • Brian Amberg, Sami Romdhani, and Thomas Vetter, Optimal Step Nonrigid ICP Algorithms For Surface Registration [paper (PDF)]
  • Michal Sofka, Gehua Yang, and Charles Stewart, Simultaneous Covariance Driven Correspondence (CDC) and Transformation Estimation [paper (PDF)]
  • Joerg Liebelt and Klaus Schertler, Precise Registration of 3D Models To Images by Swarming Particles [paper (PDF)] [supplemental material]

Retrieval and Search 1

  • Nazlı İkizler and David Forsyth, Searching video for complex activities with finite state models [paper (PDF)]
  • Pramod Sankar K. and Jawahar C. V., Probabilistic Reverse Annotation for Large Scale Image Retrieval [paper (PDF)]
  • Pavan Turaga, Ashok Veeraraghavan, and Rama Chellappa, From Videos to Verbs: Mining Videos for Activities using a cascade of dynamical systems [paper (PDF)] [supplemental material]
  • Sebastian Nowozin, Koji Tsuda, Takeaki Uno, Taku Kudo, and Gökhan Bakir, Weighted Substructure Mining for Image Analysis [paper (PDF)] [supplemental material]
  • James Philbin, Ondrej Chum, Michael Isard, Josef Sivic, and Andrew Zisserman, Object retrieval with large vocabularies and fast spatial matching [paper (PDF)]
  • Ariadna Quattoni, Michael Colllins, and Trevor Darrell, Learning Visual Representations using Images with Captions. [paper (PDF)]
  • Friedrich Fraundorfer, Henrik Stewénius, and David Nistér, A Binning Scheme for Fast Hard Drive Based Image Search [paper (PDF)]

Optical Flow and Tracking 2

  • Biswajit Bose, Xiaogang Wang, and Eric Grimson, Multi-class object tracking algorithm that handles fragmentation and grouping [paper (PDF)] [supplemental material]
  • Toshikazu Wada and Junya Sakagaito, Nearest First Traversing Graph for Simultaneous Object Tracking and Recognition [paper (PDF)]
  • Xiaofeng Ren and Jitendra Malik, Tracking as Repeated Figure/Ground Segmentation [paper (PDF)] [supplemental material]
  • Ming Yang, Junsong Yuan, and Ying Wu, Spatial selection for attentional visual tracking [paper (PDF)] [supplemental material]
  • Selim Benhimane, Alexander Ladikos, Vincent Lepetit, and Nassir Navab, Linear and Quadratic Subsets for Template-Based Tracking [paper (PDF)] [supplemental material]
  • Hao Jiang, Sidney Fels, and James Little, A Linear Programming Approach for Multiple Object Tracking [paper (PDF)] [supplemental material]
  • Franck Dufrenois, Johan Colliez, and Denis Hamad, Crisp Weighted Support Vector Regression for robust model estimation : application to object tracking in image sequences [paper (PDF)]
  • Yaser Sheikh, Xin Li, and Mubarak Shah, Trajectory Association across Non-overlapping Moving Cameras in Planar Scenes [paper (PDF)]
  • Alex Leung and Shaogang Gong, Optimizing Distribution-based Matching by Random Subsampling [paper (PDF)] [supplemental material]
  • Zhaozheng Yin and Robert Collins, Belief Propagation in a 3D Spatio-temporal MRF for Moving Object Detection [paper (PDF)] [supplemental material]

Shape 2

  • Shantanu Joshi, Eric Klassen, Anuj Srivastava, and Ian Jermyn, A Novel Representation for Riemannian Analysis of Elastic Curves in Rn [paper (PDF)]
  • Srikrishnan V, Subhasis Chaudhuri, Sumantra Dutta, and Daniel Ševčovič, On Stable Evolution of Parametric Curves [paper (PDF)]
  • HaiRong Liu, Longin Latecki, WenYu Liu, and Xiang Bai, Visual Curvature [paper (PDF)]
  • Anuj Srivastava, Ian Jermyn, and Shantanu Joshi, Riemannian Analysis of Probability Density Functions with Applications in Vision [paper (PDF)]
  • Hossam Abd and Aly Farag, Shape Representation and Registration using Vector Distance Functions [paper (PDF)]
  • Liang Lin, Song-Chun Zhu, and Yongtian Wang, Layered Graph Match with Graph Editing [paper (PDF)]

Stereo 2

  • Daniel Scharstein and Chris Pal, Learning Conditional Random Fields for Stereo [paper (PDF)]
  • Jong Dae Oh, Siwei Ma, and C.-C. Jay Kuo, Stereo Matching via Disparity Estimation and Surface Modeling [paper (PDF)]
  • Carlos Hernandez, George Vogiatzis, and Roberto Cipolla, Probabilistic visibility for multi-view stereo [paper (PDF)]
  • Wei Xiong and Jiaya Jia, Stereo Matching on Objects with Fractional Boundary [paper (PDF)]
  • Martin Habbecke and Leif Kobbelt, A Surface-Growing Approach to Multi-View Stereo Reconstruction [paper (PDF)] [supplemental material]
  • Thomas Pock, Christopher Zach, and Horst Bischof, Mumford-Shah Meets Stereo: Integration of Weak Depth Hypotheses [paper (PDF)]

5:10pm - 6:30pm: Oral session 3: Detection, Matching, Tracking (Nicollet ABCD)

  • Oncel Tuzel, Fatih Porikli, and Peter Meer, Human Detection via Classification on Riemannian Manifolds [paper (PDF)]
  • Eli Shechtman and Michal Irani, Matching Local Self-Similarities across Images and Videos [paper (PDF)] [supplemental material]
  • Yuan Li, Haizhou Ai, Takayoshi Yamashita, Shihong Lao, and Masato Kawade, Tracking in Low Frame Rate Video: A Cascade Particle Filter with Discriminative Observers of Different Lifespans [paper (PDF)] [supplemental material]
  • Jianke Zhu and Michael R. Lyu, Progressive Finite Newton Approach To Real-time Nonrigid Surface Detection [paper (PDF)] [supplemental material]

7:30am - 9:00pm: Banquet (TBA)

Thursday, June 21

7:45am - 8:30am: Breakfast (Exhibit Hall)

8:30am - 10:10am: Oral session 1A: Search and Optimization (Nicollet AB)

  • Ronen Basri, Tal Hassner, and Lihi Zelnik-Manor, Approximate Nearest Subspace Search with Applications to Pattern Recognition [paper (PDF)] [supplemental material]
  • Carl Olsson, Anders Eriksson, and Fredrik Kahl, Solving Large Scale Binary Quadratic Problems: Spectral Methods vs. Semidefinite Programming [paper (PDF)]
  • Carsten Rother, Vladimir Kolmogorov, Victor Lempitsky, and Martin Szummer, Optimizing Binary MRFs via Extended Roof Duality [paper (PDF)]
  • Pushmeet Kohli, Pawan Mudigonda, and Philip Torr, P^{3} and Beyond: Solving Energies with Higher Order Cliques [paper (PDF)]
  • Alexander Shekhovtsov, Ivan Kovtun, and Vaclav Hlavac, Efficient MRF Deformation Model for Non-Rigid Image Matching [paper (PDF)] [supplemental material]

8:30am - 10:10am: Oral session 1B: Physics (Nicollet CD)

  • Arjan Gijsenij and Theo Gevers, Color Constancy Using Natural Image Statistics [paper (PDF)]
  • Ping Tan, Satya Mallick, Long Quan, David Kriegman, and Todd Zickler, Isotropy, Reciprocity and the Generalized Bas-Relief Ambiguity [paper (PDF)]
  • Neil Alldrin, Satya Mallick, and David Kriegman, Resolving the Generalized Bas-Relief Ambiguity by Entropy Minimization [paper (PDF)]
  • Tongbo Chen, Hendrik Lensch, Christian Fuchs, and Hans-Peter Seidel, Polarization and Phase-shifting for 3D Scanning of Translucent Objects [paper (PDF)]
  • Yifei Lou, Paolo Favaro, Andrea Bertozzi, and Stefano Soatto, Autocalibration and Uncalibrated Reconstruction of Shape from Defocus [paper (PDF)]

10:30am - 12:30pm: Poster session 1 (Exhibit Hall)

Sensing, Photometrics, and Image Processing 2

  • Qingxiong Yang, Ruigang Yang, James Davis, and David Nistér, Spatial-Depth Super Resolution for Range Images [paper (PDF)] [supplemental material]
  • Reiner Lenz, Pedro Latorre Carmona, and Peter Meer, The hyperbolic geometry of illumination induced chromaticity changes [paper (PDF)]
  • Yasuyuki Matsushita and Stephen Lin, Radiometric Calibration from Noise Distributions [paper (PDF)]
  • Sing Bing Kang, Automatic Removal of Chromatic Aberration from a Single Image [paper (PDF)]
  • Andrey DelPozo and Silvio Savarese, Detecting specular surfaces on natural images [paper (PDF)]
  • Noura Azzabou, Nikos Paragios, Frédéric Guichard, and Frédéric Cao, Variable Bandwidth Image Denoising Using Image-based Noise Models [paper (PDF)] [supplemental material]
  • Takayuki Okatani and Koichiro Deguchi, Estimating Scale of a Scene from a Single Image Based on Defocus Blur and Scene Geometry [paper (PDF)]
  • Joost van der Weijer, Cordelia Schmid, and Jakob Verbeek, Learning Color Names from Real-World Images [paper (PDF)]
  • Chunyu Gao, Narendra Ahuja, and Hong Hua, Active Aperture Control and Sensor Modulation for Flexible Imaging [paper (PDF)]

Retrieval and Search 2

  • David Liu and Tsuhan Chen, A Topic-Motion Model for Unsupervised Video Object Discovery [paper (PDF)]
  • Changhu Wang, Feng Jing, Lei Zhang, and Hong-Jiang Zhang, Content-Based Image Annotation Refinement [paper (PDF)]
  • Junsong Yuan, Ying Wu, and Ming Yang, Discovery of Collocation patterns: from Visual Words to Visual Phrases [paper (PDF)]
  • Ron Bekkerman and Jiwoon Jeon, Multi-modal Clustering for Multimedia Collections [paper (PDF)]
  • Kobus Barnard and Quanfu Fan, Reducing correspondence ambiguity in loosely labeled training data [paper (PDF)]
  • Kristen Grauman and Trevor Darrell, Pyramid Match Hashing: Sub-Linear Time Indexing Over Partial Correspondences [paper (PDF)]
  • Dong Xu and Shih-Fu Chang, Visual Event Recognition in News Video using Kernel Methods with Multi-Level Temporal Alignment [paper (PDF)]
  • Soma Biswas, Gaurav Aggarwal, and Rama Chellappa, Efficient Indexing For Articulation Invariant Shape Matching and Retrieval [paper (PDF)]

Segmentation 2

  • Sylvain Paris and Frédo Durand, A Topological Approach to Hierarchical Segmentation using Mean Shift [paper (PDF)]
  • Lin Yang, Peter Meer, and David Foran, Multiple Class Segmentation Using A Unified Framework over Mean-Shift Patches [paper (PDF)]
  • Branislav Micusik and Tomas Pajdla, Multi-label image segmentation via max-sum solver [paper (PDF)]
  • Michael Donoser and Horst Bischof, ROI-SEG: Unsupervised Color Segmentation by Combining Differently Focused Sub Results [paper (PDF)]
  • Omer Rotem, Hayit Greenspan, and Jacob Goldberger, Combining Region and Edge Cues for Image Segmentation in a Probabilistic Gaussian Mixture Framework [paper (PDF)] [supplemental material]
  • Gabriel Tsechpenakis and Dimitris Metaxas, CRF-driven Implicit Deformable Model [paper (PDF)] [supplemental material]
  • Laura Gui, Jean-Philippe Thiran, and Nikos Paragios, Joint Object Segmentation and Behavior Classification in Image Sequences [paper (PDF)]
  • Alvina Goh and René Vidal, Segmenting Motions of Different Types by Unsupervised Manifold Clustering [paper (PDF)]

Optical Flow and Tracking 3

  • Aeron Buchanan and Andrew Fitzgibbon, Combining Local and Global Motion Models for Feature Point Tracking [paper (PDF)]
  • Zhaozheng Yin and Robert Collins, On-the-fly Object Modeling while Tracking [paper (PDF)] [supplemental material]
  • Mathieu Salzmann, Vincent Lepetit, and Pascal Fua, Deformable Surface Tracking Ambiguities [paper (PDF)] [supplemental material]
  • Ioannis Patras and Edwin Hancock, Regression tracking with data relevance determination [paper (PDF)] [supplemental material]
  • Quang Anh Nguyen, Antonio Robles-Kelly, and Chunhua Shen, Kernel-based Tracking from a Probabilistic Viewpoint [paper (PDF)] [supplemental material]
  • Sylvain Boltz, Eric Debreuve, and Michel Barlaud, High-dimensional statistical distance for region-of-interest tracking: Application to combining a soft geometric constraint with radiometry [paper (PDF)] [supplemental material]
  • Minyoung Kim and Vladimir Pavlovic, Discriminative Learning of Dynamical Systems for Motion Tracking [paper (PDF)] [supplemental material]
  • Bi Song, Namrata Vaswani, and Amit Roy-Chowdhury, Closed-Loop Tracking and Change Detection in Multi-Activity Sequences [paper (PDF)]
  • Aurélie Bugeau and Patrick Pérez, Detection and segmentation of moving objects in highly dynamic scenes [paper (PDF)]

Stereo 2

  • David Gallup, Jan-Michael Frahm, Philippos Mordohai, Qingxiong Yang, and Marc Pollefeys, Real-Time Plane-Sweeping Stereo with Multiple Sweeping Directions [paper (PDF)] [supplemental material]
  • Yasutaka Furukawa and Jean Ponce, Accurate, Dense, and Robust Multi-View Stereopsis [paper (PDF)] [supplemental material]
  • Juho Kannala and Sami S. Brandt, Quasi-dense wide baseline matching using match propagation [paper (PDF)]
  • Heiko Hirschmüller and Daniel Scharstein, Evaluation of Cost Functions for Stereo Matching [paper (PDF)]
  • Olga Veksler, Graph Cut Based Optimization for MRFs with Truncated Convex Priors [paper (PDF)]
  • Shigeki Sugimoto and Masatoshi Okutomi, A Direct and Efficient Method for Piecewise-Planar Surface Reconstruction from Stereo Images [paper (PDF)]

Document Processing

  • Yau-Chat Tsoi and Michael Brown, Multi-View Document Rectification using Boundary [paper (PDF)]
  • Huaigu Cao and Venu Govindaraju, Handwritten Carbon Form Preprocessing Based on Markov Random Field [paper (PDF)]
  • Song Mao, Praveer Mansukhani, and George Thoma, Combining Static Classifiers and Class Syntax Models for Logical Entity Recognition in Scanned Historical Documents [paper (PDF)]
  • George V. Landon, Yun Lin, and W. Brent Seales, Towards Automatic Photometric Correction of Casually Illuminated Documents [paper (PDF)]
  • Guangyu Zhu, Yefeng Zheng, David Doermann, and Stefan Jaeger, Multi-scale Structural Saliency for Signature Detection [paper (PDF)]

Miscellaneous Applications

  • Yu Sun, John Hollerbach, and Stephen Mascaro, Imaging the Finger Force Direction [paper (PDF)]
  • Heather Dunlop, David Thompson, and David Wettergreen, Multi-scale Features for Detection and Segmentation of Rocks in Mars Images [paper (PDF)]
  • Nathan Jacobs, Nathaniel Roman, and Robert Pless, Consistent Temporal Variations in Many Outdoor Scenes [paper (PDF)]
  • Nicolas Hautiere, Jean-Philippe Tarel, and Didier Aubert, Towards Fog-Free In-Vehicle Vision Systems through Contrast Restoration [paper (PDF)]

2:00pm - 3:00pm: Oral session 2A: Enhancement 2: Noise (Nicollet AB)

  • Changyin Zhou and Stephen Lin, Removal of Image Artifacts Due to Sensor Dust [paper (PDF)]
  • Jia Chen and Chi-Keung Tang, Spatio-Temporal Markov Random Field for Video Denoising [paper (PDF)]
  • Ran Kaftory, Yoav Schechner, and Yehoshua Zeevi, Variational Distance-Dependent Image Restoration [paper (PDF)]

2:00pm - 3:00pm: Oral session 2B: Handwriting and Faces (Nicollet CD)

  • Yu Qiao, Jianzhuang Liu, and Xiaoou Tang, Offline Signature Verification Using Online Handwriting Registration [paper (PDF)]
  • Jean-Sébastien Pierrard and Thomas Vetter, Skin Detail Analysis for Face Recognition [paper (PDF)]
  • Xiaoming Liu, Generic Face Alignment using Boosted Appearance Model [paper (PDF)]

3:00pm - 3:10pm: Break (Exhibit Hall)

3:10pm - 5:10pm: Poster session 2 (Exhibit Hall)

Recognition and Detection 3

  • Florent Perronnin and Christopher Dance, Fisher Kernels on Visual Vocabularies for Image Categorization [paper (PDF)]
  • Xiaodi Hou and Liqing Zhang, General Purpose Object Detection: A Spectral Residual Approach [paper (PDF)]
  • Minsu Cho and Kyoung Mu Lee, Partially Occluded Object-Specific Segmentation in View-Based Recognition [paper (PDF)]
  • Sanja Fidler and Ales Leonardis, Towards Scalable Representations of Object Categories: Learning a Hierarchy of Parts [paper (PDF)]
  • Liu Yang, Rong Jin, Caroline Pantofaru, and Rahul Sukthankar, Discriminative Cluster Refinement: Improving Object Category Recognition Given Limited Training Data [paper (PDF)]
  • Deva Ramanan, Using segmentation to verify object hypotheses [paper (PDF)]
  • Marcin Marszalek and Cordelia Schmid, Semantic Hierarchies for Visual Object Recognition [paper (PDF)]
  • Liang Xiong, Jianguo Li, and Changshui Zhang, Discriminant Additive Tangent Spaces for Object Recognition [paper (PDF)]
  • Shengyang Dai, Ming Yang, Ying Wu, and Aggelos Katsaggelos, Detector Ensemble [paper (PDF)]
  • Jingdan Zhang, Shaohua Kevin Zhou, Leonard McMillan, and Dorin Comaniciu, Joint Real-time Object Detection and Pose Estimation Using Probabilistic Boosting Network [paper (PDF)]

Faces and Biometrics 3

  • Wai Ho and Paul Watters, A New Performance Evaluation Method for Face Identification - Regression Analysis of Misidentification Risk [paper (PDF)]
  • Yueming Wang, Gang Pan, and Zhaohui Wu, 3D Face Recognition in the Presence of Expression: A Guidance-based Constraint Deformation Approach [paper (PDF)]
  • Yan Tong, Wenhui Liao, Zheng Xue, and Qiang Ji, A Unified Probabilistic Framework for Facial Activity Modeling and Understanding [paper (PDF)]
  • Cheng Zhong, Zhenan Sun, and Tieniu Tan, Robust 3D Face Recognition Using Learned Visual Codebook [paper (PDF)]
  • Vineeth Nallure Balasubramanian, Jieping Ye, and Sethuraman Panchanathan, Biased Manifold Embedding: A Framework for Person-Independent Head Pose Estimation [paper (PDF)]
  • Alex Holub, Yun-hsueh Liu, and Pietro Perona, On Constructing Facial Similarity Maps [paper (PDF)] [supplemental material]
  • Yuandong Tian, Wei Liu, Rong Xiao, Fang Wen, and Xiaoou Tang, A Face Annotation Framework with Partial Clustering and Interactive Labeling [paper (PDF)]
  • Jiansheng Chen and Yiu-Sang Moon, A Minutiae-based Fingerprint Individuality Model [paper (PDF)]
  • Sami Romdhani and Thomas Vetter, 3D Probabilistic Feature Point Model for Object Detection and Recognition [paper (PDF)]

3D Reconstruction and Processing 2

  • Justin Domke and Yiannis Aloimonos, Multiple View Image Reconstruction: A Harmonic Approach [paper (PDF)] [supplemental material]
  • Abdelrehim Ahmed and Aly Farag, Shape from Shading Under Various Imaging Conditions [paper (PDF)]
  • Li Zhang, Andy M. Yip, and Chew Lim Tan, Shape from Shading Based on Lax-Friedrichs Fast Sweeping and Regularization Techniques With Applications to Document Image Restoration [paper (PDF)]
  • Manmohan Chandraker, Sameer Agarwal, and David Kriegman, ShadowCuts: Photometric Stereo with Shadows [paper (PDF)]
  • Gaurav Aggarwal, Soma Biswas, and Rama Chellappa, Symmetric Objects are Hardly Ambiguous [paper (PDF)]
  • Chang Yuan and Gérard Medioni, Inferring 3D Volumetric Shape of Both Moving Objects and Static Background Observed by a Moving Camera [paper (PDF)]
  • Thibaut Weise, Bastian Leibe, and Luc Van Gool, Fast 3D Scanning with Automatic Motion Compensation [paper (PDF)] [supplemental material]
  • Mark Young, Erik Beeson, James Davis, Szymon Rusinkiewicz, and Ravi Ramamoorthi, Viewpoint-Coded Structured Light [paper (PDF)]
  • Victor Lempitsky and Yuri Boykov, Global Optimization for Shape Fitting [paper (PDF)]
  • Tony Tung, Francis Schmitt, and Takashi Matsuyama, Topology matching for 3D video compression [paper (PDF)]
  • Ke Colin Zheng, Sing Bing Kang, Michael Cohen, and Richard Szeliski, Layered Depth Panorama [paper (PDF)] [supplemental material]

Body Tracking, Gait, and Gesture 2

  • Edilson de Aguiar, Christian Theobalt, Carsten Stoll, and Hans-Peter Seidel, Marker-less Deformable Mesh Tracking for Human Shape and Motion Capture [paper (PDF)] [supplemental material]
  • Andrea Fossati, Miodrag Dimitrijevic, Vincent Lepetit, and Pascal Fua, Bridging the Gap between Detection and Tracking for 3D Monocular Video-Based Motion Capture [paper (PDF)] [supplemental material]
  • Liang Wang and David Suter, Recognizing Human Activities from Silhouettes: Motion Subspace and Factorial Discriminative Graphical Model [paper (PDF)]
  • Louis-Philippe Morency, Ariadna Quattoni, and Trevor Darrell, Latent-Dynamic Discriminative Models for Continuous Gesture Recognition [paper (PDF)]
  • Edgar Seemann, Mario Fritz, and Bernt Schiele, Towards Reliable Pedestrian Detection in Crowded Image Sequences [paper (PDF)] [supplemental material]
  • Praveen Srinivasan and Jianbo Shi, Bottom-up Recognition and Parsing of the Human Body [paper (PDF)]
  • Lars Muendermann, Stefano Corazza, and Thomas Andriacchi, Accurately measuring human movement using articulated ICP with soft-joint constraints and a repository of articulated models [paper (PDF)]
  • Stjepan Rajko, Gang Qian, Todd Ingalls, and Jodi James, Real-time Gesture Recognition with Minimal Training Requirements and On-line Learning [paper (PDF)]
  • Abhinav Gupta and Larry Davis, Objects in Action: An Approach for Combining Action Understanding and Object Perception [paper (PDF)]
  • Shu-Fai Wong, Tae-Kyun Kim, and Roberto Cipolla, Learning Motion Categories using both Semantic and Structural Information [paper (PDF)]
  • Alessandro Bissacco and Stefano Soatto, On the Blind Classification of Time Series [paper (PDF)]

Medical Imaging 2 and Biologically Motivated

  • Jacob Goldberger, Hayit Greenspan, and Jeremie Dreyfuss, An optimal Reduced Representation of a MoG with Applications to Medical Image Database Classification [paper (PDF)]
  • Ying Bai, Xiao Han, and Jerry Prince, Topology-preserving Geometric Deformable Model on Adaptive Quadtree Grid [paper (PDF)]
  • Kevin Gorczowski, Martin Styner, Ja-Yeon Jeong, James S Marron, Joseph Piven, Heather Cody Hazlett, Stephen M. Pizer, and Guido Gerig, Statistical Shape Analysis of Multi-Object Complexes [paper (PDF)]
  • Robert Peters and Laurent Itti, Beyond bottom-up: Incorporating task-dependent influences into a computational model of spatial attention [paper (PDF)]
  • Lior Wolf and Moshe Guttmann, Artificial Complex Cells via the Tropical Semiring [paper (PDF)]
  • Xiaomu Song, George Iordanescu, and Alice Wyrwicz, One-class Machine Learning for Brain Activation Detection [paper (PDF)]

5:10pm - 6:30pm: Oral session 3A: Shape and Boundaries (Nicollet AB)

  • Alexandru Balan, Leonid Sigal, Michael Black, James Davis, and Horst Haussecker, Detailed Human Shape and Pose from Images [paper (PDF)] [supplemental material]
  • Atul Kanaujia, Cristian Sminchisescu, and Dimitris Metaxas, Semi-supervised Hierarchical Models for 3D Human Pose Reconstruction [paper (PDF)]
  • Marcus A. Brubaker, David J. Fleet, and Aaron Hertzmann, Physics-Based Person Tracking Using Simplified Lower-Body Dynamics [paper (PDF)] [supplemental material]
  • Songfeng Zheng, Zhuowen Tu, and Alan Yuille, Detecting Object Boundaries Using Low-, Mid-, and High-level Information [paper (PDF)]

5:10pm - 6:30pm: Oral session 3B: Multimodal and Sign Language (Nicollet CD)

  • Zohar Barzelay and Yoav Schechner, Harmony in Motion [paper (PDF)] [supplemental material]
  • Adam O'Donovan, Ramani Duraiswami, and Jan Neumann, Microphone Arrays as Generalized Cameras for Integrated Audio Visual Processing [paper (PDF)]
  • Ali Farhadi, David Forsyth, and Ryan White, Transfer Learning in Sign language [paper (PDF)]
  • Ruiduo Yang, Sudeep Sarkar, and Barbara Loeding, Enhanced Level Building Algorithm to the Movement Epenthesis Problem in Sign Language [paper (PDF)]