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Full Program

CVPR 2009 Sessions

Monday, June 22

Image and Video Search

Time: 9:00—10:20
Location: Sparkle East

  • Pose Search: retrieving people using their pose (Vittorio Ferrari (ETH Zurich), Manuel Marin-Jimenez (University of Granada), Andrew Zisserman (University of Oxford))
  • Efficient Representation of Local Geometry for Large Scale Object Retrieval (Michal Perdoch (Czech Technical University), Ondrej Chum (Czech Technical University), Jiri Matas (Czech Technical University))
  • Geometric min-Hashing: Finding a (Thick) Needle in a Haystack (Ondrej Chum (Czech Technical University), Michal Perdoch (Czech Technical University), Jiri Matas (Czech Technical University))
  • Bundling Features for Large Scale Partial-Duplicate Web Image Search (Zhong Wu (Tsinghua University), Qifa Ke (Microsoft Research-ISRC), Michael Isard (Microsoft Research), Jian Sun (Microsoft Research Asia))

Optical Flow and Image Registration

Time: 9:00—10:20
Location: Sparkle West

  • Contextual Flow (Ying Wu (Northwestern University), Jialue Fan (Northwestern University))
  • Large Displacement Optical Flow (Thomas Brox (University of California, Berkeley), Christoph Bregler (New York University), Jitendra Malik (University of California, Berkeley))
  • Image Registration by Minimization of Residual Complexity (Andriy Myronenko (Oregon Health and Science University), Xubo Song (Oregon Health and Science University))
  • Learning General Optical Flow Subspaces for Egomotion Estimation and Detection of Motion Anomalies (Richard Roberts (Georgia Institute of Technology), Christian Potthast (Georgia Institute of Technology), Frank Dellaert (Georgia Institute of Technology))

Poster Session 1

Time: 10:30—12:30
Location: Splash 9-16

  • A Unified Active and Semi-Supervised Learning Framework for Image Compression (Xiaofei He (Zhejiang University), Ming Ji (Zhejiang University), Hujun Bao (Zhejiang University))
  • Digital Face Makeup by Example (Dong Guo (National University of Singapore), Terence Sim (National University of Singapore))
  • Hardware-Efficient Belief Propagation (Chia-Kai Liang (National Taiwan University), Chao-Chung Cheng (National Taiwan University), Yen-Chieh Lai (National Taiwan University), Liang-Gee Chen (National Taiwan University), Homer Chen (National Taiwan University))

  • Directed Assistance for Ink-Bleed Reduction in Old Documents (Zheng Lu (National University of Singapore), Zheng Wu (National University Of Singapore), Michael Brown (National University of Singapore))
  • Vanishing Point Detection for Road Detection (Hui Kong (Ecole Normale Superieure), Jean-Yves Audibert (Ecole des Ponts & Ecole Normale SupŽrieure), Jean Ponce (Ecole Normale Superieure))
  • Blind motion deblurring from a single image using sparse approximation (Jian-Feng Cai (National University of Singapore), Hui Ji (National University of Singapore), Chaoqiang Liu (National University of Singapore), Zuowei Shen (National University of Singapore))
  • Human Age Estimation Using Bio-inspired Features (Guodong Guo (North Carolina Central University), Guowang Mu (North Carolina Central University), Yun Fu (BBN Technologies), Thomas Huang (University of Illinois at Urbana-Champaign))
  • Cancelable Iris Biometrics and Using Error Correcting Codes to Reduce Variability in Biometric Data (Sanjay Kanade (Institut TELECOM; TELECOM & Management SudParis), Dijana Petrovska-DelacrŽtaz (Institut TELECOM; TELECOM & Management SudParis), Bernadette Dorizzi (Institut TELECOM; TELECOM & Management SudParis))
  • Physiological Face Recognition Is Coming of Age (Pradeep Buddharaju (University of Houston), Ioannis Pavlidis (University of Houston))
  • Support Vector Machines in Face Recognition with Occlusions (Hongjun Jia (The Ohio State University), Aleix Martinez (The Ohio State University))
  • Boosted Multi-Task Learning for Face Verification With Applications to Web Image and Video Search (Xiaogang Wang (MIT), Cha Zhang (Microsoft Research), Zhengyou Zhang (Microsoft Research))
  • Volterrafaces: Discriminant Analysis using Volterra Kernels (Ritwik Kumar (University of Florida), Arunava Banerjee (University of Florida), Baba Vemuri (University of Florida))
  • Learning Mappings for Face Synthesis from Near Infrared to Visual Light Images (Jie Chen (University of Oulu), Dong Yi (Chinese Academy of Sciences), Jimei Yang (University of Science and Technology of China), Guoying Zhao (University of Oulu), Stan Li (Chinese Academy of Sciences), Matti PietikŠinen (University of Oulu))
  • Shape Evolution for Rigid and Nonrigid Shape Registration and Recovery (Junyan Wang (Nanyang Technological University), Kap Luk Chan (Nanyang Technological University))
  • SIFT-Rank: Ordinal Description for Invariant Feature Correspondence (Matthew Toews (Brigham and Women’s Hospital & Harvard Medical School), William Wells (Harvard Medical School & Brigham and Women’s Hospital))
  • Picking the best DAISY (Simon Winder (Microsoft Research), Gang Hua (Microsoft Live Labs Research), Matthew Brown (University of British Columbia))
  • Learning Similarity Measure for Multi-Modal 3D Image Registration (Daewon Lee (Max Planck Institute for Biological Cybernetics), Matthias Hofmann (Max Planck Institute for Biological Cybernetics), Florian Steinke (Siemens Corporate Technology), Yasemin Altun (Max Planck Institute for Biological Cybernetics), Nathan Cahill (University of Oxford), Bernhard Schšlkopf (Max Planck Institute for Biological Cybernetics))
  • Constrained Marginal Space Learning for Efficient 3D Anatomical Structure Detection in Medical Images (Yefeng Zheng (Siemens Corporate Research), Bogdan Georgescu (Siemens Corporate Research), Haibin Ling (Temple University), S. Kevin Zhou (Siemens Corporate Research), Michael Scheuering (Siemens Corporate Research), Comaniciu Dorin (Siemens Corporate Research))
  • Shape Analysis with Conformal Invariants for Multiply Connected Domains and its Application to Analyzing Brain Morphology (Yalin Wang (UCLA), Xianfeng Gu (State University of New York at Stony Brook), Tony Chan (Mathematics Department, UCLA), Paul Thompson (UCLA))
  • Automated Feature Extraction for Early Detection of Diabetic Retinopathy in Fundus Images (Saiprasad Ravishankar (University of Illinois Urbana Champaign), Arpit Jain (University of Maryland), Anurag Mittal (IIT Madras))
  • A Robust Parametric Method for Bias Field Estimation and Segmentation of MR Images (Chunming Li (Vanderbilt University), Chris Gatenby (Vanderbilt University), Li Wang (Nanjing University of Science and Technology), John Gore (Vanderbilt University))
  • Markerless Motion Capture with Unsynchronized Moving Cameras (Nils Hasler (MPI Informatik), Bodo Rosenhahn (University of Hannover), Thorsten ThormŠhlen (Max Planck Institut Informatik), Michael Wand (Saarland University & Max Planck Institut Informatik), Juergen Gall (BIWI, ETH Zurich), Hans-Peter Seidel (Max Planck Institut Informatik))

  • Early Spatiotemporal Grouping with a Distributed Oriented Energy Representation (Konstantinos Derpanis (York University), Richard Wildes (York University))

  • Discriminatively Trained Particle Filters for Complex Multi-Object Tracking (Rob Hess (Oregon State University), Alan Fern (Oregon State University))
  • ImageNet: A Large-Scale Hierarchical Image Database (Jia Deng (Princeton University), Wei Dong (Princeton University), Richard Socher (Princeton University), Li-Jia Li (Princeton University), Kai Li (Princeton University), Li Fei-Fei (Princeton University))
  • Understanding Images of Groups of People (Andrew Gallagher (Eastman Kodak Company & Carnegie Mellon University), Tsuhan Chen (Cornell University))
  • Efficient Algorithms for Subwindow Search in Object Detection and Localization (Senjian An (Curtin University of Technology), Patrick Peursum (Curtin University of Technology), Wanquan Liu (Curtin University of Technology), Svetha Venkatesh (Curtin University of Technology))
  • Learning Mixed Templates for Object Recognition (Zhangzhang Si (UCLA), Haifeng Gong (UCLA), Ying Nian Wu (UCLA), Song-Chun Zhu (UCLA & Lotus Hill Institute))
  • Fast concurrent object localization and recognition (Tom Yeh (MIT), John Lee (MIT), Trevor Darrell (University of California, Berkeley))
  • Shape-based Detection of Moving Objects in Videos Using Synthetic 3D Models (Alexander Toshev (University of Pennsylvania), Ameesh Makadia (Google Research), Kostas Daniilidis (University of Pennsylvania))
  • A Collaborative Benchmark for Region of Interest Detection Algorithms (Tz-Huan Huang (National Taiwan University), Kai-Yin Cheng (National Taiwan University), Yung-Yu Chuang (National Taiwan University))
  • Pedestrian Detection: A Benchmark (Piotr Dollar (Caltech), Christian Wojek (TU Darmstadt), Bernt Schiele (TU Darmstadt), Pietro Perona (Caltech))
  • Learning Trajectory Patterns by Clustering: Experimental Studies and Comparative Evaluation (Brendan Morris (University of California, San Diego), Mohan Trivedi (University of California, San Diego))
  • Learning color and locality cues for moving object detection and segmentation (Feng Liu (University of Wisconsin-Madison), Michael Gleicher (University of Wisconsin-Madison))
  • Increased Discrimination in Level Set Methods with Embedded Conditional Random Fields (Dana Cobzas (University of Alberta), Mark Schmidt (University of British Columbia))
  • Extraction of Tubular Structures over an Orientation Domain (Micka‘l PŽchaud (CERTIS / LIENS), Gabriel PeyrŽ (CEREMADE), Renaud Keriven (Ecole des Ponts ParisTech))
  • LidarBoost: Depth Superresolution for ToF 3D Shape Scanning (Sebastian Schuon (Stanford University), Christian Theobalt (Stanford University), James Davis (University of California, Santa Cruz), Sebastian Thrun (Stanford University))

  • Efficient Planar Graph Cuts with Applications in Computer Vision (Frank Schmidt (University Of Bonn), Eno Toeppe (University of Bonn), Daniel Cremers (University of Bonn))
  • Locally Constrained Diffusion Process on Locally Densified Distance Spaces with Applications to Shape Retrieval (Xingwei Yang (Temple University), Suzan Koknar-Tezel (Temple University), Longin Jan Latecki (Temple University))
  • Shape Classification Through Structured Learning of Matching Measures (Longbin Chen (University of California, Santa Barbara), Julian McAuley (NICTA & Australian National University), Rogerio Feris (IBM T. J. Watson Research Center), Tiberio Caetano (NICTA), Matthew Turk (University of California, Santa Barbara))
  • Surface Feature Detection and Description with Applications to Mesh Matching (Andrei Zaharescu (INRIA Grenoble), Edmond Boyer (LJK - INRIA Grenoble), Kiran Varanasi (INRIA Grenoble), Radu Horaud (INRIA Grenoble))
  • Robust Multi-Class Transductive Learning with Graphs (Wei Liu (Columbia University), Shih-fu Chang (Columbia University))
  • Multiplicative Nonnegative Graph Embedding (Changhu Wang (University of Science and Technology of China), Zheng Song (National University of Singapore), Shuicheng Yan (National University of Singapore), Lei Zhang (Microsoft Research Asia), Hong-Jiang Zhang (Microsoft Corporation))
  • Image Categorization with Spatial Mismatch Kernels (Zhiwu Lu (City University of Hong Kong), Horace Ip (City University of Hong Kong))
  • Multiple Instance Feature for Robust Part-based Object Detection (Zhe Lin (University of Maryland at College Park), Gang Hua (Microsoft Live Labs Research), Larry Davis (University of Maryland))
  • Recognizing Indoor Scenes (Ariadna Quattoni (MIT & ICSI, Berkeley CA), Antonio Torralba (MIT))
  • Constrained Clustering via Spectral Regularization (Zhenguo Li (The Chinese University of Hong Kong), Jianzhuang Liu (The Chinese University of Hong Kong), Xiaoou Tang (The Chinese University of Hong Kong))
  • Manifold Discriminant Analysis (Ruiping Wang (Chinese Academy of Sciences), Xilin Chen (Chinese Academy of Sciences))
  • Stereo Matching in the Presence of Sub-Pixel Calibration Errors (Heiko Hirschmueller (German Aerospace Center / DLR), Stefan Gehrig (Daimler AG))

  • Mutual Information-based Stereo Matching Combined with SIFT Descriptor in Log-chromaticity Color Space (Yong Seok Heo (Seoul National University), Kyoung Mu Lee (Seoul National University), Sang Uk Lee (Seoul National University))
  • Joint Depth and Alpha Matte Optimization via Fusion of Stereo and Time-of-Flight Sensor (Jiejie Zhu (University of Kentucky), Miao Liao (University of Kentucky), Ruigang Yang (University of Kentucky), Zhigeng Pan (Zhejiang University))

  • Learning Semantic Visual Vocabularies Using Diffusion Distance (Jingen Liu (University of Central Florida), Yang Yang (University of Central Florida), Mubarak Shah (University of Central Florida))
  • Topology Dictionary with Markov Model for 3D Video Content-Based Skimming and Description (Tony Tung (Kyoto University), Takashi Matsuyama (Kyoto University))
  • Learning Optimized MAP Estimates in Continuously-Valued MRF Models (Kegan Samuel (University of Central Florida), Marshall Tappen (University of Central Florida))

Stereo

Time: 2:00—3:00
Location: Sparkle East

  • Stereo Matching with Nonparametric Smoothness Priors in Feature Space (Brandon Smith (University of Wisconsin-Madison), Li Zhang (University of Wisconsin-Madison), Hailin Jin (Adobe Systems Inc.))
  • Spatiotemporal Stereo via Spatiotemporal Quadric Element (Stequel) Matching (Mikhail Sizintsev (York University), Richard Wildes (York University))
  • A Stereo Approach that Handles the Matting Problem via Image Warping (Michael Bleyer (Vienna University of Technology), Margrit Gelautz (Vienna University of Technology), Carsten Rother (Microsoft Research Cambridge), Christoph Rhemann (Vienna University of Technology))

Image Enhancement and Restoration

Time: 2:00—3:00
Location: Sparkle West

  • High Dynamic Range Image Reconstruction from Hand-held Cameras (Pei-Ying Lu (National Taiwan University), Tz-Huan Huang (National Taiwan University), Meng-Sung Wu (National Taiwan University), Yi-Ting Cheng (National Taiwan University), Yung-Yu Chuang (National Taiwan University))
  • Contextual Restoration of Severely Degraded Document Images (Jyotirmoy Banerjee (IIIT-Hyderabad), Anoop Namboodiri (IIIT-Hyderabad), C. V. Jawahar (IIIT-Hyderabad))
  • Polarization: Beneficial for Visibility Enhancement? (Tali Treibitz (Technion - Israel Institute of Technology), Yoav Schechner (Technion - Israel Institute of Technology))

Poster Session 2

Time: 3:10—5:10
Location: Splash 9-16

  • Learning Partially-Observed Hidden Conditional Random Fields for Facial Expression Recognition (Kai-Yueh Chang (National Tsing Hua University), Tyng-Luh Liu (IIS, Academia Sinica), Shang-Hong Lai (National Tsing Hua University))
  • Real-time Vehicle Detection for Highway Driving (Ben Southall (Sarnoff Corporation), Mayank Bansal (Sarnoff Corporation), Jayan Eledath (Sarnoff Corporation))
  • Dictionary-Free Categorization of Very Similar Objects via Stacked Evidence Trees (Gonzalo Martinez Munoz (Oregon State University), Wei Zhang (Oregon State University), Nadia Payet (Oregon State University), Sinisa Todorovic (Oregon State University), Natalia Larios Delgado (University of Washington), Asako Yamamuro (Oregon State University), David Lytle (Oregon State University), Andrew Moldenke (Oregon State University), Eric Mortensen (Oregon State University), Robert Paasch (Oregon State University), Linda Shapiro (University of Washington), Thomas Dietterich (Oregon State University))
  • Real-Time $O(1)$ Bilateral Filtering (Qingxiong Yang (University of Illinois at Urbana-Champaign), Kar Han Tan (HP Labs), Narendra Ahuja (University of Illinois at Urbana Champaign))

  • Learning Photometric Invariance from Diversified Color Model Ensembles (Jose Manuel Alvarez (Computer Vision Center), Theo Gevers (University of Amsterdam), Antonio Lopez (Computer Vision Center))

  • Combining powerful local and global statistics for texture description (Yong Xu (South China University of Technology), Sibin Huang (South China University of Technology), Hui Ji (National University of Singapore), Cornelia Fermuller (University of Maryland))
  • Physics-based Edge Evaluation for Improved Color Constancy (Arjan Gijsenij (University of Amsterdam), Theo Gevers (University of Amsterdam), Joost Van de Weijer (Computer Vision Center, Barcelona))
  • Reducing JointBoost-Based Multiclass Classification to Proximity Search (Alexandra Stefan (University of Texas at Arlington), Vassilis Athitsos (University of Texas At Arlington), Quan Yuan (Boston University), Stan Sclaroff (Boston University))
  • Towards a Practical Face Recognition System: Robust Registration and Illumination by Sparse Representation (Andrew Wagner (University of Illinois at Urbana-Champaign), John Wright (University of Illinois at Urbana-Champaign), Arvind Ganesh (University of Illinois at Urbana-Champaign), Zihan Zhou (University of Illinois at Urbana-Champaign), Yi Ma (University of Illinois at Urbana-Champaign))
  • Maximizing Intra-individual Correlations for Face Recognition Across Pose Differences (Annan Li (Chinese Academy of Sciences), Shiguang Shan (Chinese Academy of Sciences), Xilin Chen (Chinese Academy of Sciences), Wen Gao (Chinese Academy of Sciences))

  • Robustifying Eye Center Localization by Head Pose Cues (Roberto Valenti (University of Amsterdam), Zeynep Yucel (University Of Amsterdam), Theo Gevers (University of Amsterdam))

  • Illumination and Spatially Varying Specular Reflectance from a Single View (Kenji Hara (Kyushu University), Ko Nishino (Drexel University))
  • Relighting Objects from Image Collections (Tom Haber (Hasselt University), Christian Fuchs (Max Planck Institut Informatik), Philippe Bekaert (Hasselt University), Hans-Peter Seidel (Max Planck Institut Informatik), Michael Goesele (TU Darmstadt), Hendrik P. A. Lensch (Ulm University))
  • Color Estimation from a Single Surface Color (Rei Kawakami (The University of Tokyo), Katsushi Ikeuchi (The University of Tokyo))
  • A Unified Model of Specular and Diffuse Reflectance for Rough, Glossy Surfaces (William Smith (University of York), Edwin Hancock (University of York))
  • Robust Shadow and Illumination Estimation Using a Mixture Model (Alexandros Panagopoulos (Stony Brook University), Dimitris Samaras (Stony Brook University), Nikos Paragios (Ecole Centrale de Paris/INRIA Saclay, Ile-de-France))
  • New Appearance Models for Natural Image Matting (Dheeraj Singaraju (Johns Hopkins University), Carsten Rother (Microsoft Research Cambridge), Christoph Rhemann (Vienna University of Technology))

  • Similarity Metrics and Efficient Optimization for Simultaneous Registration (Christian Wachinger (TU Munich), Nassir Navab (TU Munich))

  • StaRSaC: Stable Random Sample Consensus for Parameter Estimation (Jongmoo Choi (University of Southern California), Gerard Medioni (University of Southern California))
  • Shape Comparison Using Perturbing Shape Registration (Yifeng Jiang (Yale University), Erin Edmiston (Yale School of Medicine), Fei Wang (Yale University), Hilary Blumberg (Yale University), Lawrence Staib (Yale University), Xenophon Papademetris (Yale University))
  • Robust Guidewire Tracking in Fluoroscopy (Peng Wang (Siemens Corporate Research), Terrence Chen (Siemens Corporate Research), Ying Zhu (Siemens), Wei Zhang (Siemens Corporate Research), S. Kevin Zhou (Siemens Corporate Research), Comaniciu Dorin (Siemens Corporate Research))
  • Optimization of Landmark Selection for Cortical Surface Registration (Anand Joshi (UCLA), David Shattuck (UCLA), Dimitrios Pantazis (University of Southern California), Quanzheng Li (University of Southern California), Hanna Damasio (University of Southern California), Richard Leahy (University of Southern California))
  • Active Volume Models for 3D Medical Image Segmentation (Tian Shen (Lehigh University), Hongsheng Li (Lehigh University), Zhen Qian (Piedmont Heart Institute), Xiaolei Huang (Lehigh University))
  • Fuzzy-Cuts: A Knowledge-Driven Graph-Based Method for Medical Image Segmentation (Deepak Roy Chittajallu (University of Houston), Gerd Brunner (University of Houston), Uday Kurkure (University of Houston), Raja Yalamanchili (University of Houston), Ioannis Kakadiaris (University of Houston))
  • Echocardiogram View Classification using Edge Filtered Scale-invariant Motion Features (Ritwik Kumar (University of Florida), Fei Wang (IBM Almaden Research Center), David Beymer (IBM Almaden Research Center), Tanveer Syeda-Mahmood (IBM Almaden Research Center))
  • Shape Constrained Figure-Ground Segmentation and Tracking (Zhaozheng Yin (Pennsylvania State University), Robert Collins (Pennsylvania State University))
  • Trajectory Parsing by Cluster Sampling in Spatio-temporal Graph (Xiaobai Liu (Huazhong University of Science and Technology & Lotus Hill Institute), Liang Lin (UCLA), Song-Chun Zhu (UCLA & Lotus Hill Institute), Hai Jin (Huazhong University of Science and Technology))
  • Learning Visual Flows: A Lie Algebraic Approach (Dahua Lin (MIT), Eric Grimson (MIT), John Fisher III (MIT))
  • Vanishing Point Estimation by Self Similarity (Hadas Kogan (HP Labs), Ron Maurer (HP Labs), Renato Keshet (HP Labs))
  • Active Learning for Large Multi-class Problems (Prateek Jain (University of Texas at Austin), Ashish Kapoor (Microsoft Research))
  • What is the Spatial Extent of an Object? (Jasper Uijlings (University of Amsterdam), Arnold Smeulders (University of Amsterdam), Remko Scha (University of Amsterdam))
  • Pose Estimation for Category Specific Multiview Object Localization (Mustafa Ozuysal (EPFL), Vincent Lepetit (EPFL), Pascal Fua (EPFL))
  • Non-Rigid 2D-3D Pose Estimation and 2D Image Segmentation (Romeil Sandhu (Georgia Institute of Technology), Samuel Dambreville (Georgia Institute of Technology), Anthony Yezzi (Georgia Institute of Technology), Allen Tannenbaum (Georgia Institute of Technology))
  • Multi-Cue Onboard Pedestrian Detection (Christian Wojek (TU Darmstadt), Stefan Walk (TU Darmstadt), Bernt Schiele (TU Darmstadt))

  • HOP: Hierarchical Object Parsing (Iasonas Kokkinos (Ecole Centrale Paris & INRIA Saclay), Alan Yuille (UCLA))
  • A Convex Relaxation Approach for Computing Minimal Partitions (Thomas Pock (Graz University of Technology), Antonin Chambolle (Ecole Polytechnique & CNRS), Daniel Cremers (University of Bonn), Horst Bischof (Graz University of Technology))
  • Global Connectivity Potentials for Random Field Models (Sebastian Nowozin (Max Planck Institute for Biological Cybernetics), Christoph Lampert (Max Planck Institute for Biological Cybernetics))

  • Symmetry Integrated Region-based Image Segmentation (Yu Sun (University of California, Riverside), Bir Bhanu (University of California, Riverside))
  • On the Set of Images Modulo Viewpoint and Contrast Changes (Ganesh Sundaramoorthi (UCLA), Peter Petersen (UCLA), V. S. Varadarajan (UCLA), Stefano Soatto (UCLA))
  • Fast Multiple Shape Correspondence by Pre-Organizing Shape Instances (Brent Munsell (University of South Carolina), Andrew Temlyakov (University of South Carolina), Song Wang (University Of South Carolina))
  • Learning Shape Prior Models for Object Matching (Tingting Jiang (INRIA), Frederic Jurie (University of Caen), Cordelia Schmid (INRIA))
  • Global Optimization for Alignment of Generalized Shapes (Hongsheng Li (Lehigh University), Tian Shen (Lehigh University), Xiaolei Huang (Lehigh University))
  • Unsupervised Learning for Graph Matching (Marius Leordeanu (Carnegie Mellon University), Martial Hebert (Carnegie Mellon University))
  • Max-Margin Hidden Conditional Random Fields for Human Action Recognition (Yang Wang (Simon Fraser University), Greg Mori (Simon Fraser University))
  • Rank Priors for Continuous Non-Linear Dimensionality Reduction (Andreas Geiger (Karlsruhe Institute of Technology), Raquel Urtasun (University of California, Berkeley), Trevor Darrell (University of California, Berkeley))
  • Unsupervised Maximum Margin Feature Selection with Manifold Regularization (Bin Zhao (Tsinghua University), James Kwok (Hong Kong University of Science and Technology), Fei Wang (Florida International University), Changshui Zhang (Tsinghua University))
  • Learning a Distance Metric from Multi-instance Multi-label Data (Rong Jin (Michigan State University), Shijun Wang (National Institutes of Health), Zhi-Hua Zhou (Nanjing University))
  • Alphabet SOUP: A Framework for Approximate Energy Minimization (Stephen Gould (Stanford University), Fernando Amat (Stanford University), Daphne Koller (Stanford University))
  • An Instance Selection Approach to Multiple Instance Learning (Zhouyu Fu (Australian National University), Antonio Robles-Kelly (NICTA & Australian National University))
  • Learning from Ambiguously Labeled Images (Timothee Cour (University of Pennsylvania), Benjamin Sapp (University of Pennsylvania), Chris Jordan (University of Pennsylvania), Ben Taskar (University of Pennsylvania))
  • Recognizing Linked Events: Searching the Space of Feasible Explanations (Dima Damen (University of Leeds), David Hogg (University of Leeds))
  • Abnormal Crowd Behavior Detection using Social Force Model (Ramin Mehran (University of Central Florida), Alexis Oayama (University of Nevada Reno), Mubarak Shah (University of Central Florida))
  • Recognition of Repetitive Sequential Human Activity (Quanfu Fan (IBM), Russell Bobbitt (IBM), Zhai Yun (IBM), Akira Yanagwa (IBM), Sharath Pankanti (IBM), Arun Hampapur (IBM))

Statistical Methods and Learning

Time: 5:10—6:30
Location: Sparkle East

  • Learning To Detect Unseen Object Classes by Between-Class Attribute Transfer (Christoph Lampert (Max Planck Institute for Biological Cybernetics), Hannes Nickisch (Max Planck Institute for Biological Cybernetics), Stefan Harmeling (Max Planck Institute for Biological Cybernetics))
  • On Bias Correction for Geometric Parameter Estimation in Computer Vision (Takayuki Okatani (Tohoku University), Koichiro Deguchi (Tohoku University))
  • Regularized Multi-Class Semi-Supervised Boosting (Amir Saffari (Graz University of Technology), Christian Leistner (Graz University of Technology), Horst Bischof (Graz University of Technology))
  • Contextual Classification with Functional Max-Margin Markov Networks (Daniel Munoz (Carnegie Mellon University), James Bagnell (Carnegie Mellon University), Nicolas Vandapel (Carnegie Mellon University), Martial Hebert (Carnegie Mellon University))

Tracking

Time: 5:10—6:30
Location: Sparkle West

  • Visual Tracking with Online Multiple Instance Learning (Boris Babenko (University of California, San Diego), Ming-Hsuan Yang (University of California, Merced), Serge Belongie (University of California, San Diego))
  • Visual tracking via geometric particle filtering on the affine group with optimal importance functions (Junghyun Kwon (Seoul National University), Kyoung Mu Lee (Seoul National University), Frank Park (Seoul National University))

  • Memory-based particle filter for face pose tracking robust under complex dynamics (Dan Mikami (NTT), Kazuhiro Otsuka (NTT), Junji YAMATO (NTT))
  • Saliency-based Discriminant Tracking (Vijay Mahadevan (University of California, San Diego), Nuno Vasconcelos (University of California, San Diego))

Tuesday, June 23

Object Detection and Recognition

Time: 9:00—10:20
Location: Sparkle East

  • Pictorial Structures Revisited: People Detection and Articulated Pose Estimation (Mykhaylo Andriluka (TU Darmstadt), Stefan Roth (TU Darmstadt), Bernt Schiele (TU Darmstadt))
  • Class-SpeciÞc Hough Forests for Object Detection (Juergen Gall (BIWI, ETH Zurich), Victor Lempitsky (Microsoft Research Cambridge))
  • Recognition using Regions (Chunhui Gu (University of California, Berkeley), Joseph Lim (University of California, Berkeley), Pablo Arbelaez (University of California, Berkeley), Jitendra Malik (University of California, Berkeley))

  • Object Detection using a Max-Margin Hough Transform (Subhransu Maji (University of California, Berkeley), Jitendra Malik (University of California, Berkeley))

Texture, Symmetry, and Shape

Time: 9:00—10:20
Location: Sparkle West

  • Curved Glide-Reflection Symmetry Detection (Seungkyu Lee (Pennsylvania State University), Yanxi Liu (Pennsylvania State University))

  • Reconstructing Sharply Folding Surfaces: A Convex Formulation (Mathieu Salzmann (University of California, Berkeley), Pascal Fua (EPFL))

  • Variational Layered Dynamic Textures (Antoni Chan (University of California, San Diego), Nuno Vasconcelos (University of California, San Diego))

  • Retrographic sensing for the measurement of surface texture and shape (Micah Johnson (MIT), Edward Adelson (MIT))

Poster Session 3

Time: 10:30—12:30
Location: Splash 9-16

  • Cooperative Mapping of Multiple PTZ Cameras in Automated Surveillance Systems (Chung-Hao Chen (The University of Tennessee, Knoxville), Yi Yao (GE Global Research Center), Anis Drira (The University of Tennessee, Knoxville), Andreas Koschan (The University of Tennessee, Knoxville), Mongi Abidi (The University of Tennessee, Knoxville))
  • Tour the World: building a web-scale landmark recognition engine (Yan-Tao Zheng (National University of Singapore), Ming Zhao (Google Inc.), Yang Song (Google Inc.), Hartwig Adam (Google Inc.), Ulrich Buddemeier (Google Inc.), Alessandro Bissacco (Google Inc.), Fernando Brucher (Google Inc.), Tat-Seng Chua (National University of Singapore), Hartmut Neven (Google Inc.))

  • Flow Mosaicking: Real-time Pedestrian Counting without Scene-specific Learning (Yang Cong (Chinese Academy of Sciences), Haifeng Gong (UCLA), Song-Chun Zhu (UCLA & Lotus Hill Institute), Yandong Tang (Chinese Academy of Sciences))
  • VideoTrek: A Vision System for a Tag-along Robot (Oleg Naroditsky (Sarnoff Corporation), Zhiwei Zhu (Sarnoff Corporation), Aveek Das (Sarnoff Corporation), Supun Samarasekera (Sarnoff Corporation), Taragay Oskiper (Sarnoff Corporation), Rakesh Kumar (Sarnoff Corporation))
  • A Projector-based Movable Hand-held Display System (Man Chuen Leung (The Chinese University of Hong Kong), Kai Ki Lee (The Chinese University of Hong Kong), Kin Hong Wong (The Chinese University of Hong Kong), Michael Ming Yuen Chang (The Chinese University of Hong Kong))

  • Facial Deblur Inference to Improve Recognition of Blurred Faces (Masashi Nishiyama (Toshiba), Hidenori Takeshima (Toshiba), Tatsuo Kozakaya (Toshiba), Jamie Shotton (Microsoft Research Cambridge), Osamu Yamaguchi (Toshiba))
  • Coupled Spectral Regression for Matching Heterogeneous Faces (Zhen Lei (Chinese Academy of Sciences), Stan Li (Chinese Academy of Sciences))
  • Efficiently training a better visual detector with sparse Eigenvectors (Sakrapee Paisitkriangkrai (NICTA), Chunhua Shen (NICTA), Jian Zhang (NICTA))
  • Observable Subspaces for 3D Human Motion Recovery (Andrea Fossati (EPFL), Mathieu Salzmann (University of California, Berkeley), Pascal Fua (EPFL))

  • “Who are you?” - Learning person specific classifiers from video (Josef Sivic (INRIA & Ecole Normale Superieure), Mark Everingham (University of Leeds), Andrew Zisserman (University of Oxford))
  • A Revisit of Generative Model for Automatic Image Annotation using Markov Random Fields (Yu Xiang (Fudan University), Xiangdong Zhou (Fudan University), Tat-Seng Chua (National University of Singapore), Chong-Wah Ngo (City University of Hong Kong))
  • Vocabulary Hierarchy Optimization for Effective and Transferable Retrieval (Rongrong Ji (Harbin Institute of Technology), Xing Xie (Microsoft Research Asia), Hongxun Yao (Harbin Institute of Technology), Wei-Ying Ma (Microsoft Research Asia))

  • On the burstiness of visual elements (Herve Jegou (INRIA), Matthijs Douze (INRIA), Cordelia Schmid (INRIA))
  • Distance Transform Templates for Object Detection and Pose Estimation (Stefan Holzer (TU Munich), Stefan Hinterstoisser (TU Munich), Slobodan Ilic (Deutsche Telekom Labs & TU Berlin), Nassir Navab (TU Munich))

  • Isometric Registration of Ambiguous and Partial Data (Art Tevs (Max Planck Institute Informatik), Martin Bokeloh (University of TŸbingen), Michael Wand (Saarland University & Max Planck Institut Informatik), Andreas Schilling (WSI/GRIS, University of Tuebingen), Hans-Peter Seidel (Max Planck Institut Informatik))

  • Convexity and Bayesian Constrained Local Models (Ulrich Paquet (Imense Ltd))
  • Multi-Object Tracking through Occlusions by Local Tracklets Filtering and Global Tracklets Association with Detection Responses (Junliang Xing (Tsinghua University), Haizhou Ai (Tsinghua University), Shihong Lao (Omron Corporation))

  • Tracking of a Non-Rigid Object via Patch-based Dynamic Appearance Modeling and Adaptive Basin Hopping Monte Carlo Sampling (Joonsuk Kwon (Seoul National University), Kyoung Mu Lee (Seoul National University))

  • Projective Least-Squares: Global Solutions with Local Optimization (Carl Olsson (Lund University), Fredrik Kahl (Lund University), Richard Hartley (Australian National University & NICTA))
  • A minimal parameterization of the trifocal tensor (Klas Nordberg (Linkšping University))
  • Visibility Constraints on Features of 3D Objects (Ronen Basri (Weizmann Institute of Science), Pedro Felzenszwalb (University of Chicago), Ross Girshick (University of Chicago), David Jacobs (University of Maryland), Caroline Klivans (University of Chicago))
  • Keypoint Induced Distance Profiles for Visual Recognition (Tat-Jun Chin (The University of Adelaide), David Suter (The University of Adelaide))
  • A Multi-View Probabilistic Model for 3D Object Classes (Min Sun (Princeton University), Hao Su (Princeton University), Silvio Savarese (University of Michigan), Li Fei-Fei (Princeton University))
  • Granularity-tunable Gradients Partition (GGP) Descriptors for Human Detection (Yazhou Liu (Harbin Institute of Technology), Shiguang Shan (Chinese Academy of Sciences), Wenchao Zhang (Chinese Academy of Sciences), Xilin Chen (Chinese Academy of Sciences), Wen Gao (Chinese Academy of Sciences))
  • Unsupervised Feature Optimization (UFO): simultaneous selection of multiple features with their detection parameters (Leonid Karlinsky (Weizmann Institute of Science), Michael Dinerstein (Weizmann Institute of Science), Shimon Ullman (Weizmann Institute of Science))

  • An Empirical Study of Context in Object Detection (Santosh Kumar Divvala (Robotics Institute, Carnegie Mellon University), Derek Hoiem (University of Illinois at Urbana-Champaign), James Hays (Carnegie Mellon University), Alexei Efros (Carnegie Mellon University), Martial Hebert (Carnegie Mellon University))
  • Appearance-based Keypoint Clustering (Francisco Estrada (University of Toronto at Scarborough), Pascal Fua (EPFL), Vincent Lepetit (EPFL), Sabine SŸsstrunk (EPFL))

  • Robust Unsupervised Segmentation of Degraded Document Images with Topic Models (Timothy Burns (University at Buffalo), Jason Corso (SUNY at Buffalo))
  • Shape Priors and Discrete MRFs for Knowledge-based Segmentation (Ahmed Besbes (Ecole Centrale Paris), Nikos Komodakis (University of Crete), Georg Langs (CIR, Medical University of Vienna), Nikos Paragios (Ecole Centrale de Paris/INRIA Saclay, Ile-de-France))
  • P-Brush: Continuous Valued MRFs with Normed Pairwise Distributions for Image Segmentation (Dheeraj Singaraju (Johns Hopkins University), Leo Grady (Siemens Corporate Research), Rene Vidal (Johns Hopkins University))
  • Predicting High Resolution Image Edges with a Generic, Adaptive, 3-D Vehicle Model (Matthew Leotta (Brown University), Joseph Mundy (Brown University))
  • Nonrigid Shape Recovery by Gaussian Process Regression (Jianke Zhu (ETH Zurich), Steven C.H. Hoi (Nanyang Technological University), Michael Lyu (The Chinese University of Hong Kong))

  • 3D Morphable Face Models Revisited (Ankur Patel (University of York), William Smith (University of York))
  • Shape Band: A Deformable Object Detection Approach (Xiang Bai (Huazhong University of Science and Technology), Quannan Li (Huazhong University of Science and Technology), Longin Jan Latecki (Temple University), Wenyu Liu (Huazhong University of Science and Technology), Zhuowen Tu (UCLA))
  • Robust Object Detection Using Marginal Space Learning and Ranking-Based Multi-Detector Aggregation: Application to Left Ventricle Detection in 2D MRI Images (Yefeng Zheng (Siemens Corporate Research), Xiaoguang Lu (Siemens Corporate Research), Bogdan Georgescu (Siemens Corporate Research), Arne Littmann (Siemens Healthcare Sector), Edgar Mueller (Siemens Healthcare Sector), Comaniciu Dorin (Siemens Corporate Research))
  • Layered Graph Matching by Composite Cluster Sampling with Collaborative and Competitive Interactions (Liang Lin (UCLA), Kun Zeng (Lotus Hill Institute), Xiaobai Liu (Huazhong University of Science and Technology & Lotus Hill Institute), Song-Chun Zhu (UCLA & Lotus Hill Institute))
  • A Min-Max Framework of Cascaded Classifier with Multiple Instance Learning for Computer Aided Diagnosis (Dijia Wu (Rensselaer Polytechnic Institute), Jinbo Bi (Siemens Medical Solutions), Kim Boyer (Rensselaer Polytechnic Institute))
  • Building text features for object image classification (Gang Wang (University of Illinois at Urbana-Champaign), Derek Hoiem (University of Illinois at Urbana-Champaign), David Forsyth (University of Illinois at Urbana-Champaign))
  • Domain Transfer SVM for Video Concept Detection (Lixin Duan (Nanyang Technological University), Ivor Wai-Hung TSANG (Nanyang Technological University), Dong Xu (Nanyang Technological University), Stephen Maybank (University of London))
  • Minimizing Sparse Higher Order Energy Functions of Discrete Variables (Carsten Rother (Microsoft Research Cambridge), Pushmeet Kohli (Microsoft Research Cambridge), Wei Feng (The Chinese University of Hong Kong), Jiaya Jia (The Chinese University of Hong Kong))
  • Label Diagnosis through Self Tuning for Web Image Search (Jun Wang (Columbia University), Yu-Gang Jiang (Columbia University), Shih-fu Chang (Columbia University))
  • Learning IMED via Translation Invariant Transformation (Bing Sun (Key Laboratory of Machine Perception (MOE), School of EECS, Peking University), Jufu Feng (Peking University), Liwei Wang (Peking University))
  • Markov Chain Monte Carlo Combined with Deterministic Methods for Markov Random Field Optimization (Wonsik Kim (Seoul National University), Kyoung Mu Lee (Seoul National University))
  • Stereographic Rectification of Omnidirectional Stereo Pairs (Jan Heller (Czech Technical University), Tomas Pajdla (Czech Technical University))
  • Manhattan-world Stereo (Yasutaka Furukawa (University of Washington), Steve Seitz (University of Washington), Brian Curless (University of Washington), Richard Szeliski (Microsoft Research))

  • Towards high-resolution large-scale multi-view stereo (Vu Hoang Hiep (Certis ENPC), Renaud Keriven (Ecole des Ponts ParisTech), Jean-Philippe Pons (CSTB), Patrick Labatut (CERTIS))
  • Visual loop closure detection using multi-resolution SIFT grids in metric-topological SLAM (Vivek Pradeep (University of Southern California), Gerard Medioni (University of Southern California), James Weiland (University of Southern California))

  • Anomaly Detection in Extremely Crowded Scenes using Spatio-Temporal Motion Pattern Models (Louis Kratz (Drexel University), Ko Nishino (Drexel University))
  • Dense saliency-based spatiotemporal feature points for action recognition (Konstantinos Rapantzikos (National Technical University of Athens), Yannis Avrithis (National Technical University of Athens), Stefanos Kollias (National Technical University of Athens))

  • Monitoring, Recognizing and Discovering Social Networks (Ting Yu (GE Global Research), Ser Nam Lim (GE Global Research), Kedar Patwardhan (GE Global Research), Nils Krahnstoever (GE Global Research))
  • Recognizing Human Group Activities by Localized Causalities (Bingbing Ni (National University of Singapore), Shuicheng Yan (National University of Singapore), Ashraf Kassim (National University of Singapore))
  • Human Motion Synthesis from 3D Video (Peng Huang (University of Surrey), Adrian Hilton (University of Surrey), Jonathan Starck (The Foundry))

  • Distributed Multi-Target Tracking In A Self-Configuring Camera Network (Cristian Soto (University of California, Riverside), Bi Song (University of California, Riverside), Amit Roy-Chowdhury (University of California, Riverside))

  • Active Stereo Tracking of Multiple Free-Moving Targets (Luis Perdigoto (University of Coimbra), Joao Barreto (University of Coimbra), Rui Caseiro (University of Coimbra), Helder Araujo (University of Coimbra))

Face Recognition

Time: 2:00—3:00
Location: Sparkle East

  • Implicit Elastic Matching with Random Projections for Pose-variant Face Recognition (John Wright (University of Illinois), Gang Hua (Microsoft Live Labs Research))
  • Joint and Implicit Registration for Face Recognition (Peng Li (University College London), Simon Prince (University College London))
  • A Compressive Sensing Approach for Expression-Invariant Face Recognition (Pradeep Nagesh (Arizona State University), Baoxin Li (Arizona State University))

SFM and Geometry

Time: 2:00—2:40
Location: Sparkle West

  • What is a Camera? (Jean Ponce (Ecole Normale Superieure))
  • In Defense of Orthonormality Constraints for Nonrigid Structure from Motion (Ijaz Akhter (LUMS, Lahore, Pakistan), Yaser Sheikh (Carnegie Mellon University), Sohaib Khan (LUMS, Lahore, Pakistan))

Poster Session 4

Time: 3:10—5:10
Location: Splash 9-16

  • Multiple View Image Denoising (Li Zhang (University of Wisconsin-Madison), Sundeep Vaddadi (University of Wisconsin-Madison), Hailin Jin (Adobe Systems Inc.), Shree Nayar (Columbia University))

  • Image Deblurring and Denoising using Color Priors (Neel Joshi (Microsoft Research), C. Lawrence Zitnick (Microsoft Research), Richard Szeliski (Microsoft Research), David Kriegman (University of California, San Diego & TAAZ.COM))
  • Image Deblurring for Less Intrusive Iris Capture (Xinyu Huang (University of Kentucky), Liu Ren (Robert Bosch Research and Technology Center), Ruigang Yang (University of Kentucky))
  • High-quality curvelet-based motion deblurring using an image pair (Jian-Feng Cai (National University of Singapore), Hui Ji (National University of Singapore), Chaoqiang Liu (National University of Singapore), Zuowei Shen (National University of Singapore))
  • Learning Real-Time MRF Inference for Image Denoising (Adrian Barbu (Florida State University))

  • Learning Rotational Features for Filament Detection (German Gonzalez (EPFL), Franois Fleuret (Idiap Research Institute), Pascal Fua (EPFL))
  • Histogram-based Interest Point Detectors (Wei-Ting Lee (National Tsing Hua University), Hwann-Tzong Chen (National Tsing Hua University))
  • Frequency-tuned Salient Region Detection (Radhakrishna Achanta (EPFL), Sheila Hemami (Cornell University), Francisco Estrada (University of Toronto at Scarborough), Sabine SŸsstrunk (EPFL))
  • Learning Invariant Features Through Topographic Filter Maps (Koray Kavukcuoglu (NYU), Marc’Aurelio Ranzato (NYU), Rob Fergus (NYU), Yann Lecun (NYU))
  • Face Verification and Identification using Facial Trait Code (Ping-Han Lee (National Taiwan University), Gee-Sern Hsu (National Taiwan University of Science and Technology), Yi-Ping Hung (National Taiwan University))
  • Enhanced Pictorial Structures for Precise Eye Localization under Uncontrolled Conditions (Xiaoyang Tan (Nanjing University of Aeronautics and Astronautics), Fengyi Song (Nanjing University of Aeronautics and Astronautics), Zhi-Hua Zhou (Nanjing University), Songcan Chen (Nanjing University of Aeronautics and Astronautics))
  • Textural Hausdorff Distance for Wider-Range Tolerance to Pose Variation and Misalignment in 2D Face Recognition (Sanqiang Zhao (Griffith University), Yongsheng Gao (Griffith University))
  • Learning Based Automatic Face Annotation for Arbitrary Poses and Expressions from Frontal Images Only (Akshay Asthana (Australian National University), Roland Goecke (Australian National University), Novi Quadrianto (Australian National University & SML-NICTA), Tom Gedeon (Australian National University))

  • Multi-Label Sparse Coding for Automatic Image Annotation (Changhu Wang (University of Science and Technology of China), Shuicheng Yan (National University of Singapore), Lei Zhang (Microsoft Research Asia), Hong-Jiang Zhang (Microsoft Corporation))
  • View-Invariant Dynamic Texture Recognition using a Bag of Dynamical Systems (Avinash Ravichandran (Johns Hopkins University), Rizwan Chaudhry (Johns Hopkins University), Rene Vidal (Johns Hopkins University))
  • Efficient Multi-label Classification with Hypergraph Regularization (Gang Chen (Tsinghua University), Jianwen Zhang (Tsinghua University), Fei Wang (Tsinghua University), Changshui Zhang (Tsinghua University), Yuli Gao (HP Labs))
  • Localized Content-Based Image Retrieval Through Evidence Region Identification (Wu-Jun Li (Hong Kong University of Science and Technology), Dit-Yan Yeung (Hong Kong University of Science and Technology))
  • Dense 3D Motion Capture for Human Faces (Yasutaka Furukawa (University of Washington), Jean Ponce (Ecole Normale Superieure))

  • Contextualizing Histogram (Bingbing Ni (National University of Singapore), Shuicheng Yan (National University of Singapore), Ashraf Kassim (National University of Singapore))
  • The Geometry of 2D Image Signals (Lennart Wietzke (Kiel University), Gerald Sommer (University of Kiel), Oliver Fleischmann (Kiel University))
  • Random Walks on Graphs to Model Saliency in Images (Viswanath Gopalakrishnan (Nanyang Technological University), Yiqun Hu (Nanyang Technological University), Deepu Rajan (Nanyang Technological University))
  • 3D Pose Estimation and Segmentation using Specular Cues (Ju Yong Chang (Samsung Electronics), Ramesh Raskar (MIT), Amit Agrawal (MERL))

  • On Compositional Image Alignment with an Application to Active Appearance Models (Brian Amberg (University of Basel), Andrew Blake (Microsoft Research Cambridge), Thomas Vetter (University Basel))

  • A Similarity Measure Between Vector Sequences with Application to Handwritten Word Image Retrieval (Jose Rodriguez-Serrano (Loughborough University), Florent Perronnin (Xerox Research Centre Europe), Josep Llados (Computer Vision Center), Gemma Sanchez (Computer Vision Center))
  • Adaptive Image and Video Retargeting Based on Fourier Analysis (Jun-Seong Kim (Korea University), Jin-Hwan Kim (Korea University), Chang-Su Kim (Korea University))

  • Video Object Segmentation by Hypergraph Cut (Yuchi Huang (Rutgers University), Qingshan Liu (Rutgers University), Dimitris Metaxas (Rutgers University))
  • Motion Capture Using Joint Skeleton Tracking and Surface Estimation (Juergen Gall (BIWI, ETH Zurich), Carsten Stoll (Max Planck Institut Informatik), Edilson De Aguiar (Max Planck Institut Informatik), Christian Theobalt (Stanford University), Bodo Rosenhahn (University of Hannover), Hans-Peter Seidel (Max Planck Institut Informatik))

  • Discrete Tracking of Parametrized Curves (Hauke Heibel (TU Munich), Ben Glocker (TU Munich), Martin Groher (TU Munich), Nikos Komodakis (University of Crete), Nikos Paragios (Ecole Centrale de Paris/INRIA Saclay, Ile-de-France), Nassir Navab (TU Munich))
  • Efficient Kernels for Identifying Unbounded-Order Spatial Features (Yimeng Zhang (Carnegie Mellon University), Tsuhan Chen (Carnegie Mellon University))
  • Modeling Images as Mixtures of Reference Images (Florent Perronnin (Xerox Research Centre Europe), Yan Liu (Xerox Research Centre Europe))
  • Describing Objects by their Attributes (Ali Farhadi (University of Illinois at Urbana-Champaign), Ian Endres (University of Illinois at Urbana Champaign), Derek Hoiem (University of Illinois at Urbana-Champaign), David Forsyth (University of Illinois at Urbana-Champaign))
  • Adaptive Contour Features in Oriented Granular Space for Human Detection and Segmentation (Wei Gao (Tsinghua University), Haizhou Ai (Tsinghua University), Shihong Lao (Omron Corporation))
  • Linear Spatial Pyramid Matching Using Sparse Coding for Image Classification (Jianchao Yang (University of Illinois at Urbana-Champaign), Kai Yu (NEC Labs America), Yihong Gong (NEC Laboratories America, Inc.), Thomas Huang (University of Illinois at Urbana-Champaign))
  • Sigma Set: A Small Second Order Statistical Region Descriptor (Xiaopeng Hong (Harbin Institute of Technology), Hong Chang (Chinese Academy of Sciences), Shiguang Shan (Chinese Academy of Sciences), Xilin Chen (Chinese Academy of Sciences), Wen Gao (Peking University))
  • Efficient Scale Space Auto-Context for Image Segmentation and Labeling (Jiayan Jiang (UCLA), Zhuowen Tu (UCLA))
  • Fast Mean Shift by Compact Density Representation (Daniel Freedman (Rensselaer Polytechnic Institute & HP Labs), Pavel Kisilev (HP Labs))
  • A Perceptually Motivated Online Benchmark for Image Matting (Christoph Rhemann (Vienna University of Technology), Carsten Rother (Microsoft Research Cambridge), Jue Wang (Adobe Systems Inc.), Margrit Gelautz (Vienna University of Technology), Pushmeet Kohli (Microsoft Research Cambridge), Pamela Rott (Vienna University of Technology))

  • 3D Reconstruction of Curved Objects from Single 2D Line Drawings (Yingze Wang (The Chinese University of Hong Kong), Yu Chen (University of Cambridge), Jianzhuang Liu (The Chinese University of Hong Kong), Xiaoou Tang (The Chinese University of Hong Kong))
  • Capturing 3D Stretchable Surfaces from Single Images in Closed Form (Francesc Moreno-Noguer (Institut de Rob˜tica i Informˆtica industrial (CSIC-UPC)), Mathieu Salzmann (University of California, Berkeley), Vincent Lepetit (EPFL), Pascal Fua (EPFL))
  • Photometric Stereo and Weather Estimation Using Internet Images (Li Shen (National University of Singapore), Ping Tan (National University of Singapore))
  • Continuous Ratio Optimization via Convex Relaxation with Applications to Multiview 3D Reconstruction (Kalin Kolev (University of Bonn), Daniel Cremers (University of Bonn))
  • Depth from Sliding Projections (Chris Hermans (Hasselt University), Yannick Francken (Hasselt University), Tom Cuypers (Hasselt University), Philippe Bekaert (Hasselt University))
  • Nonnegative Matrix Factorization with Earth Mover’s Distance Metric (Roman Sandler (Technion), Michael Lindenbaum (Technion))
  • Blind Separation of Superimposed Images with Unknown Motions (Kun Gai (Tsinghua University), Zhenwei Shi (Beihang University), Changshui Zhang (Tsinghua University))

  • Holistic Context Modeling using Semantic Co-occurrences (Nikhil Rasiwasia (University Of California, San Diego), Nuno Vasconcelos (University of California, San Diego))
  • Intrinsic Mean Shift for Clustering on Stiefel and Grassmann Manifolds (Hasan Cetingul (Johns Hopkins University), Rene Vidal (Johns Hopkins University))
  • Simultaneous Image Classification and Annotation (Chong Wang (Princeton University), David Blei (Princeton University), Li Fei-Fei (Princeton University))
  • Continuous Maximal Flows and Wulff Shapes: Application to MRFs (Christopher Zach (UNC Chapel Hill), Marc Niethammer (UNC Chapel Hill), Jan-Michael Frahm (UNC Chapel Hill))
  • An Implicit Markov Random Field Model for Natural Images in Multi-scale Oriented Representations (Siwei Lyu (University at Albany, State University of New York))
  • Stochastic Gradient Kernel Density Mode-Seeking (Xiao-Tong Yuan (Chinese Academy of Sciences), Stan Li (Chinese Academy of Sciences))

  • Histograms of Oriented Optical Flow and Binet-Cauchy Kernels on Nonlinear Dynamical Systems for the Recognition of Human Actions (Rizwan Chaudhry (Johns Hopkins University), Avinash Ravichandran (Johns Hopkins University), Gregory Hager (Johns Hopkins University), Rene Vidal (Johns Hopkins University))
  • Learning Semantic Scene Models by Object Classification and Trajectory Clustering (Tianzhu Zhang (Chinese Academy of Sciences), Hanqing Lu (Chinese Academy of Sciences), Stan Li (Chinese Academy of Sciences))
  • Recognising Action as Clouds of Space-Time Interest Points (Matteo Bregonzio (Queen Mary, University of London), Shaogang Gong (Queen Mary, University of London), Tao Xiang (Queen Mary, University of London))

Paper Awards Session

Time: 5:00—6:35
Location: Sparkle East

  • Single Image Haze Removal Using Dark Channel Prior (Kaiming He (The Chinese University of Hong Kong), Jian Sun (Microsoft Research Asia), Xiaoou Tang (The Chinese University of Hong Kong))

  • Understanding and evaluating blind deconvolution algorithms (Anat Levin (MIT & Weizmann Institute), Yair Weiss (Hebrew University of Jerusalem), Fredo Durand (MIT), Bill Freeman (MIT))
  • Nonparametric Scene Parsing: Label Transfer via Dense Scene Alignment (Ce Liu (MIT), Jenny Yuen (MIT), Antonio Torralba (MIT))
  • A Tensor-Based Algorithm for High-Order Graph Matching (Olivier Duchenne (Ecole Normale Superieure), Francis Bach (INRIA - ENS), In So Kweon (KAIST), Jean Ponce (Ecole Normale Superieure))

Wednesday, June 24

Video Analysis

Time: 9:00—10:20
Location: Sparkle East

  • Multi-Camera Activity Correlation Analysis (Chen Change Loy (Queen Mary, University of London), Tao Xiang (Queen Mary, University of London), Shaogang Gong (Queen Mary, University of London))

  • Recognizing Realistic Actions from Videos Òin the WildÓ (Jingen Liu (University of Central Florida), Jiebo Luo (Kodak Research Labs), Mubarak Shah (University of Central Florida))

  • Hierarchical Spatio-Temporal Context Modeling for Action Recognition (Ju Sun (National University of Singapore), Xiao Wu (Chinese Academy of Sciences), Shuicheng Yan (National University of Singapore), Loong Fah Cheong (National University of Singapore), Tat-Seng Chua (National University of Singapore), Jintao Li (Chinese Academy of Sciences))
  • Understanding Videos, Constructing Plots - Learning a Visually Grounded Storyline Model from Annotated Videos (Abhinav Gupta (University of Maryland), Praveen Srinivasan (University of Pennsylvania), Jianbo Shi (University of Pennsylvania), Larry Davis (University of Maryland))

Segmentation

Time: 9:00—10:20
Location: Sparkle West

  • Multiphase Geometric Couplings for the Segmentation of Neural Processes (Amelio Vazquez Reina (Tufts University), Eric Miller (Tufts University), Hanspeter Pfister (Harvard University))
  • Half-integrality based algorithms for Cosegmentation of Images (Lopamudra Mukherjee (University of Wisconsin Whitewater), Vikas Singh (University of Wisconsin-Madison), Chuck Dyer (University of Wisconsin-Madison))
  • Towards Total Scene Understanding: Classification, Annotation and Segmentation in an Automatic Framework (Li-Jia Li (Princeton University), Richard Socher (Princeton University), Li Fei-Fei (Princeton University))
  • Stel component analysis: : Modeling spatial correlations in image class structure (Nebojsa Jojic (Microsoft Research), Alessandro Perina (University of Verona), Marco Cristani (University of Verona), Vittorio Murino (University of Verona), Brendan Frey (University of Toronto))

Poster Session 5

Time: 10:30—12:30
Location: Splash 9-16

  • Geometric and Probabilistic Image Dissimilarity Measures for Common Field of View Detection (Marcel BrŸckner (Friedrich Schiller University of Jena), Ferid Bajramovic (Friedrich Schiller University of Jena), Joachim Denzler (Friedrich Schiller University of Jena))
  • Single-Image Optical Center Estimation from Vignetting and Tangential Gradient Symmetry (Yuanjie Zheng (University Of Delaware), Chandra Kambhamettu (University Of Delaware), Stephen Lin (Microsoft Research Asia))
  • Coded Exposure Deblurring: Optimized Codes for PSF Estimation and Invertibility (Amit Agrawal (MERL), Yi Xu (MERL))
  • Image hallucination with feature enhancement (Zhiwei Xiong (University of Science and Technology of China & Microsoft Research Asia), Xiaoyan Sun (Microsoft Research Asia), Feng Wu (Microsoft Research Asia))
  • A Projector-Camera Setup for Geometry-Invariant Frequency Demultiplexing (Daniel Vaquero (University of California, Santa Barbara), Ramesh Raskar (MIT), Rogerio Feris (IBM T. J. Watson Research Center), Matthew Turk (University of California, Santa Barbara))
  • Nonparametric Discriminant HMM and Application to Facial Expression Recognition (Lifeng Shang (The University of Hong Kong), Kwok-Ping Chan (The University of Hong Kong))
  • Automatic Facial Landmark Labeling with Minimal Supervision (Yan Tong (GE Global Research), Xiaoming Liu (GE Global Research), Frederick Wheeler (GE Global Research), Peter Tu (GE Global Research))

  • Average of Synthetic Exact Filters (David Bolme (Colorado State University), Bruce Draper (Colorado State University), J Ross Beveridge (Colorado State University))

  • Beyond the Graphs: Semi-parametric Semi-supervised Discriminant Analysis (Fei Wang (Florida International University), Xin Wang (Florida International University), Tao Li (Florida International University))
  • Continuous Depth Estimation for Multi-view Stereo (Yebin Liu (Tsinghua University), Xun Cao (Tsinghua University), Qionghai Dai (Tsinghua University), Wenli Xu (Tsinghua University))
  • Curvature and Singularity Driven Diffusion for Oriented Pattern Enhancement with Singular Points (Qijun Zhao (The Hong Kong Polytechnic University), Lei Zhang (The Hong Kong Polytechnic University), David Zhang (The Hong Kong Polytechnic University), Wenyi Huang (Sichuan University), Jian Bai (Xidian University))
  • Geometric Reasoning for Single Image Structure Recovery (David Lee (Carnegie Mellon University), Martial Hebert (Carnegie Mellon University), Takeo Kanade (Carnegie Mellon University))

  • Linear stratified approach for 3D modeling and calibration using full geometric constraints (Jae-Hean Kim (Electronics and Telecommunication Research Institute))
  • A Graph-based Approach to Skin Mole Matching Incorporating Template-Normalized Coordinates (Hengameh Mirzaalian (Simon Fraser University), Ghassan Hamarneh (Simon Fraser University), Tim Lee (BC Cancer Agency))
  • Harris Corners in the Real World: A Principled Selection Criterion for Interest Points Based on Ecological Statistics (Neil Bruce (INRIA), Pierre Kornprobst (INRIA))
  • Classification of Tensors and Fiber Tracts Using Mercer-Kernels Encoding Soft Probabilistic Spatial and Diffusion Information (Radhouene Neji (Ecole Centrale Paris / Supelec / INRIA), Nikos Paragios (Ecole Centrale de Paris/INRIA Saclay, Ile-de-France), Gilles FLEURY (SUPELEC), Jean-Philippe Thiran (EPFL), Georg Langs (CIR, Medical University of Vienna))
  • Noninvasive Volumetric Imaging of Cardiac Electrophysiology (Linwei Wang (Rochester Institute of Technology), Heye Zhang (University of Auckland), Ken C. L. Wong (Rochester Institute of Technology), Huafeng Liu (Zhejiang University), Pengcheng Shi (Rochester Institute of Technology))

  • Wavelet Energy Map: A Robust Support for Multi-modal Registration of Medical Images (Olivier Pauly (TU Munich), Nicolas Padoy (TU Munich), Holger Poppert (Klinikum Rechts der Isar, Munich), Lorena Esposito (Klinikum Rechts der Isar, Munich), Nassir Navab (TU Munich))
  • Compensation of Motion Artifacts in MRI via Graph-Based Optimization (Tung-Ying Lee (National Tsing Hua University), Hong-Ren Su (NTHU), Shang-Hong Lai (National Tsing Hua University), Ti-Chiun Chang (Siemens Corporate Research))
  • Nonrigid Registration Combining Global and Local Statistics (Zhao Yi (UCLA), Stefano Soatto (UCLA))
  • An Efficient Stochastic Approach to Groupwise Non-rigid Image Registration (Kirill Sidorov (Cardiff University), David Marshall (Cardiff University), Stephen Richmond (Cardiff University))

  • Multi-view 3D Human Pose Estimation combining Single-frame Recovery, Temporal Integration and Model Adaptation (Michael Hofmann (TNO / University of Amsterdam), Dariu Gavrila (University of Amsterdam))

  • Bias Reduction for Stereo based Motion Estimation with Applications to Large Scale Visual Odometry (Gijs Dubbelman (TNO))
  • Efficient image alignment using linear appearance models (Jose Gonzalez-Mora (Carnegie Mellon University), Fernando De la Torre (Carnegie Mellon University), Nicolas Guil (University of Malaga), Emilio Zapata (University of Malaga))
  • Discriminative Structure Learning of Hierarchical Representations for Object Detection (Paul Schnitzspan (TU Darmstadt), Mario Fritz (University of California, Berkeley), Stefan Roth (TU Darmstadt), Bernt Schiele (TU Darmstadt))

  • Fast Human Detection in Crowded Scenes by Contour Integration and Local Shape Estimation (Csaba Beleznai (Austrian Research Centers GmbH Ð ARC), Horst Bischof (Graz University of Technology))

  • Shape Discovery from Unlabeled Image Collections (Yong Jae Lee (University of Texas at Austin), Kristen Grauman (University of Texas at Austin))
  • WhatÕs It Going to Cost You?: Predicting Effort vs. Informativeness for Multi-Label Image Annotations (Sudheendra Vijayanarasimhan (University of Texas at Austin), Kristen Grauman (University of Texas at Austin))
  • Contextual Decomposition of Multi-Label Images (Teng Li (KAIST), Tao Mei (Microsoft Research Asia), Shuicheng Yan (National University of Singapore), In So Kweon (KAIST), Chilwoo Lee (Chonnam National University))
  • Disambiguating the Recognition of 3D Objects (Gutemberg Guerra-Filho (University of Texas at Arlington))
  • Tubular Anisotropy for 2D Vessel Segmentation (Fethallah Benmansour (UniversitŽ Paris Dauphine), Laurent Cohen (UniversitŽ Paris Dauphine), Max Law (The Hong Kong University of Science and Technology), Albert Chung (The Hong Kong University of Science and Technology))
  • From Contours to Regions: An Empirical Evaluation (Pablo Arbelaez (University of California, Berkeley), Michael Maire (University of California, Berkeley), Charless Fowlkes (University of California, Irvine), Jitendra Malik (University of California, Berkeley))
  • Angular Embedding: from Jarring Intensity Differences to Perceived Luminance (Stella Yu (Boston College))
  • Moving Cast Shadow Detection using Physics-based Features (Jia-Bin Huang (Academia Sinica), Chu-Song Chen (Academia Sinica))
  • Planar Orientation from Blur Gradients in a Single Image (Scott McCloskey (Honeywell Labs), Michael Langer (McGill University))
  • Recovering Specular Surfaces Using Curved Line Images (Yuanyuan Ding (University of Delaware), Jingyi Yu (University of Delaware), Peter Sturm (INRIA))
  • Distributed Volumetric Scene Geometry Reconstruction With a Network of Distributed Smart Cameras (Shubao Liu (Brown University), Kongbin Kang (Brown University), Jean-Philippe Tarel (LCPC), David Cooper (Brown University))
  • Fourier Analysis and Gabor Filtering for Texture Analysis and Local Reconstruction of General Shapes (Fabio Galasso (University of Cambridge), Joan Lasenby (University of Cambridge))

  • Enforcing Integrability by Error Correction using $\ell_1$-minimization (Dikpal Reddy (University of Maryland), Amit Agrawal (MERL), Rama Chellappa (University of Maryland))
  • A Family of Contextual Measures of Similarity between Distributions with Application to Image Retrieval (Florent Perronnin (Xerox Research Centre Europe), Yan Liu (Xerox Research Centre Europe), Jean-Michel Renders (Xerox Research Centre Europe))
  • Shape of Gaussians as Feature Descriptors (Liyu Gong (Huazhong University Of Science and Technology), Tianjiang Wang (Huazhong University of Science and Technology), Fang Liu (Huazhong University of Science and Technology))
  • Multi-Class Active Learning for Image Classification (Ajay Joshi (University of Minnesota), Fatih Porikli (MERL), Nikolaos Papanikolopoulos (University of Minnesota))
  • An Empirical Bayes Approach to Contextual Region Classification (Svetlana Lazebnik (UNC Chapel Hill), Maxim Raginsky (Duke University))
  • Super-Resolution via Recapture and Bayesian Effect Modeling (Neil Toronto (Brigham Young University), Bryan Morse (Brigham Young University), Kevin Seppi (Brigham Young University), Dan Ventura (Brigham Young University))

  • Ensemble Manifold Regularization (Bo Geng (Peking University), Dacheng Tao (Nanyang Technological University), Chao Xu (Peking University), Linjun Yang (Microsoft Research Asia), Xian-Sheng Hua (Microsoft Research Asia))
  • Structured Output-Associative Regression (Liefeng Bo (Toyota Technological Institute at Chicago), Cristian Sminchisescu (University of Bonn))
  • Error Propagations for Local Bundle Adjustment (Alexandre Eudes (LASMEA & CEA LIST), Maxime Lhuillier (LASMEA))
  • Pose Estimation with Radial Distortion and Unknown Focal Length (Klas Josephson (Lund University), Martin Byršd (Lund University))
  • Linear Embeddings in Non-Rigid Structure From Motion (Vincent Rabaud (University of California, San Diego), Serge Belongie (University of California, San Diego))
  • Locally Time-Invariant Models of Human Activities using Trajectories on the Grassmannian (Pavan Turaga (University of Maryland), Rama Chellappa (University of Maryland))
  • Discriminative Subvolume Search for Efficient Action Detection (Junsong Yuan (Northwestern University), Zicheng Liu (Microsoft Research), Ying Wu (Northwestern University))

  • Learning Multi-modal densities on Discriminative Temporal Interaction Manifold for Group Activity Recognition (Ruonan Li (University of Maryland), Rama Chellappa (University of Maryland), S. Kevin Zhou (Siemens Corporate Research))
  • Abnormal Events Detection Based on Spatio-Temporal Co-occurences (Yannick Benezeth (PRISME Institut), Pierre-Marc Jodoin (UniversitŽ de Sherbrooke), Venkatesh Saligrama (Boston University), Christophe Rosenberger (GREYC - ENSICAEN))

Matching and Alignment

Time: 2:00—3:00
Location: Sparkle East

  • A Robust Shape Model for Multi-view Car Alignment (Yan Li (Carnegie Mellon University), Leon Gu (Carnegie Mellon University), Takeo Kanade (Carnegie Mellon University))
  • Linear Solution to Scale and Rotation Invariant Object Matching (Hao Jiang (Boston College), Stella Yu (Boston College))

  • Dimension-Free Affine Shape Matching Through Subspace Invariance (Zhaozhong Wang (Beihang University), Han Xiao (Beihang University))

Features and Medical Image Analysis

Time: 2:00—3:00
Location: Sparkle West

  • Automatic Fetal Face Detection From Ultrasound Volumes Via Learning 3D and 2D Information (Shaolei Feng (Siemens Corporate Research), S. Kevin Zhou (Siemens Corporate Research), Sara Good (Siemens Corporate Research), Comaniciu Dorin (Siemens Corporate Research))
  • A Nonparametric Riemannian Framework for Processing High Angular Resolution Diffusion Images (HARDI) (Alvina Goh (Johns Hopkins University), Christophe Lenglet (University of Minnesota), Paul Thompson (UCLA), Rene Vidal (Johns Hopkins University))
  • CHoG: Compressed Histogram of Gradients: A Low Bit-Rate Feature Descriptor (Vijay Chandrasekhar (Stanford University), Gabriel Takacs (Stanford University), David Chen (Stanford University), Sam Tsai (Stanford University), Radek Grzeszczuk (Nokia Research Center), Bernd Girod (Stanford University))

Poster Session 6

Time: 3:10—5:10
Location: Splash 9-16

  • Resolution-Invariant Image Representation and Its Applications (Jinjun Wang (NEC Laboratories America, Inc.), Shenghuo Zhu (NEC Laboratories America, Inc.), Yihong Gong (NEC Laboratories America, Inc.))
  • Interval HSV: Extracting Ink Annotations (John Femiani (Arizona State University), Anshuman Razdan (Arizona State University))
  • Catadioptric Projectors (Yuanyuan Ding (University of Delaware), Jing Xiao (Epson R&D, Inc.), Kar-Han Tan (HP Labs), Jingyi Yu (University of Delaware))
  • Capturing Multiple Illumination Conditions using Time and Color Multiplexing (Bert De Decker (Hasselt University), Jan Kautz (University College London), Tom Mertens (University of Hasselt), Philippe Bekaert (Hasselt University))

  • Removing Partial Blur in a Single Image (Shengyang Dai (Northwestern University), Ying Wu (Northwestern University))
  • Uncalibrated Synthetic Aperture for Defocus Control (Natsumi Kusumoto (Osaka University), Shinsaku Hiura (Osaka University), Kosuke Sato (Osaka University))

  • Optimal Single Image Capture for Motion Deblurring (Amit Agrawal (MERL), Ramesh Raskar (MIT))
  • Learning Signs from Subtitles: A Weakly Supervised Approach to Sign Language Recognition (Helen Cooper (University Of Surrey), Richard Bowden (University of Surrey))
  • Expression-Insensitive 3D Face Recognition using Sparse Representation (Xiaoxing Li (Virginia Tech), Tao Jia (Virginia Tech), Richard (hao) Zhang (Simon Fraser University))
  • Automated Extraction of Signs from Continuous Sign Language Sentences using Iterated Conditional Modes (Sunita Nayak (Photometria Inc.), Sudeep Sarkar (University of South Florida), Barbara Loeding (University of South Florida))
  • How far can you get with a modern face recognition test set using only simple features? (Nicolas Pinto (MIT), James DiCarlo (MIT), David Cox (Harvard University))
  • From Structure-from-Motion Point Clouds to Fast Location Recognition (Arnold Irschara (Graz University of Technology), Christopher Zach (UNC Chapel Hill), Jan-Michael Frahm (UNC Chapel Hill), Horst Bischof (Graz University of Technology))

  • Imbalanced RankBoost for Efficiently Ranking Large-Scale Image/Video Collections (Michele Merler (Columbia University), Rong Yan (IBM TJ Watson Research Center), John Smith (IBM TJ Watson Research))
  • Learning query-dependent prefilters for scalable image retrieval (Lorenzo Torresani (Dartmouth College), Martin Szummer (Microsoft Research Cambridge), Andrew Fitzgibbon (Microsoft Research Cambridge))
  • A Robust Approach for Automatic Registration of Aerial Images with Untextured Aerial LiDAR Data (Lu Wang (University of Southern California), Ulrich Neumann (University of Southern California))

  • A Novel Feature Descriptor Invariant to Complex Brightness Changes (Feng Tang (HP Labs), Suk Hwan Lim (HP Labs), Nelson Chang (HP Labs), Hai Tao (University of California, Santa Cruz))
  • Mutual Information Based Registration of Optical and Ladar Images (Andrew Mastin (MIT), Jeremy Kepner (MIT Lincoln Laboratory), John Fisher III (MIT))
  • Learning to Track with Multiple Observers (Bjorn Stenger (Toshiba Research Europe), Thomas Woodley (University of Cambridge), Roberto Cipolla (University of Cambridge))
  • Switching Gaussian Process Dynamic Models for Simultaneous Composite Motion Tracking and Recognition (Jixu Chen (Rensselaer Polytechnic Institute), Minyoung Kim (Rensselaer Polytechnic Institute), Yu Wang (Rensselaer Polytechnic Institute), Qiang Ji (Rensselaer Polytechnic Institute))
  • A Distribution-Based Approach to Tracking Points in Velocity Vector Fields (Liefei Xu (Stevens Institute of Technology), H. Quynh Dinh (Stevens Institute of Technology), Eugene Zhang (Oregon State University), Zhongzang Lin (Oregon State University), Robert Laramee (Swansea University))

  • Motion Pattern Interpretation and Detection for Tracking Moving Vehicles in Airborne Videos (Qian Yu (Sarnoff Corporation), Gerard Medioni (University of Southern California))

  • Dual Distributions of Multilinear Geometric Entities (Sami Brandt (University of Oulu))
  • A 3D Reconstruction Pipeline for Digital Preservation (Alexandre Vrubel (Universidade Federal Do Parana), Olga Bellon (Universidade Federal Do Parana), Luciano Silva (Universidade Federal do Parana))

  • Efficient Reduction of L-infinity Geometry Problems (Hongdong Li (Australian National University))
  • Fast Car Detection Using Image Strip Features (Wei Zheng (Chinese Academy of Sciences), Luhong Liang (Chinese Academy of Sciences))
  • Building a database of 3D scenes from user annotations (Bryan Russell (ƒcole Normale SupŽrieu), Antonio Torralba (MIT))
  • Image Categorization by Learning with Context and Consistency (Zhiwu Lu (City University of Hong Kong), Horace Ip (City University of Hong Kong))
  • Classifier Grids for Robust Adaptive Object Detection (Peter Roth (Graz University of Technology), Sabine Sternig (Graz University of Technology), Helmut Grabner (ETH-Zurich), Horst Bischof (Graz University of Technology))

  • Stacks of Convolutional Restricted Boltzmann Machines for Shift-Invariant Feature Learning (Mohammad Norouzi (Simon Fraser University), Mani Ranjbar (Simon Fraser University), Greg Mori (Simon Fraser University))
  • Unsupervised Learning of Hierarchical Spatial Structures In Images (Devi Parikh (Carnegie Mellon University), C. Lawrence Zitnick (Microsoft Research), Tsuhan Chen (Carnegie Mellon University))
  • Optimal Scanning for Faster Object Detection (Nicholas Butko (University of California, San Diego), Javier Movellan (University of California, San Diego))
  • A Streaming Framework for Seamless Building Reconstruction from Large-Scale Aerial LiDAR Data (Qian-Yi Zhou (University of Southern California), Ulrich Neumann (University of Southern California))

  • On Edge Detection on Surfaces (Michael Kolomenkin (Technion - Israel Institute of Technology), Ilan Shimshoni (University of Haifa), Ayellet Tal (Technion - Israel Institute of Technology))
  • Automatic Reconstruction of Cities from Remote Sensor Data (Charalambos Poullis (CGIT/IMSC/USC), Suya You (University of Southern California))
  • D - Clutter: Building object model library from unsupervised segmentation of cluttered scenes (Gowri Somanath (University of Delaware), Rohith MV (University of Delaware), Dimitris Metaxas (Rutgers University), Chandra Kambhamettu (University Of Delaware))
  • Sparse Subspace Clustering (Ehsan Elhamifar (Johns Hopkins University), Rene Vidal (Johns Hopkins University))
  • Global Active Contour-based Image Segmentation via Probability Alignment (Andriy Myronenko (Oregon Health and Science University), Xubo Song (Oregon Health and Science University))
  • Material Classification using BRDF Slices (Oliver Wang (University of California, Santa Cruz), Prabath Gunawardane (University of California, Santa Cruz), Steven Scher (University of California, Santa Cruz), James Davis (University of California, Santa Cruz))
  • Epitomized Priors for Multi-labeling Problems (Jonathan Warrell (University College London), Simon Prince (University College London), Alastair Moore (University College London))
  • Symmetric Two Dimensional Linear Discriminant Analysis (2DLDA) (Dijun Luo (University of Texas at Arlington), Chris Ding (University of Texas at Arlington), Heng Huang (University of Texas at Arlington))
  • A Multiscale Hybrid Model Exploiting Heterogeneous Contextual Relationships for Image Segmentation (Lei Zhang (Rensselaer Polytechnic Institute), Qiang Ji (Rensselaer Polytechnic Institute))
  • Let the Kernel Figure it Out; Principled Learning of Pre-processing for Kernel Classifiers (Peter Gehler (Max Planck Institute for Biological Cybernetics), Sebastian Nowozin (Max Planck Institute for Biological Cybernetics))
  • Co-training with Noisy Perceptual Observations (Mario Christhoudias (University of Califonia, Berkeley), Raquel Urtasun (University of California, Berkeley), Ashish Kapoor (Microsoft Research), Trevor Darrell (University of California, Berkeley))
  • Shared Kernel Information Embedding for Discriminative Inference (Leonid Sigal (University of Toronto), Roland Memisevic (University of Toronto), David Fleet (University of Toronto))
  • Nonlinear Nonnegative Component Analysis (Stefanos Zafeiriou (Imperial College London), Maria Petrou (Imperial College London))
  • Fast Normalized Cut with Linear Constraints (Linli Xu (University of Alberta), Wenye Li (University of Alberta), Dale Schuurmans (University of Alberta))
  • Randomized Structure from Motion Based on Atomic 3D Models from Camera Triplets (Michal Havlena (Czech Technical University), Akihiko Torii (Czech Technical University), Jan Knopp (Czech Technical University), Tomas Pajdla (Czech Technical University))

  • Towards Geographical Referencing of Monocular SLAM Reconstruction Using 3D City Models: Application to Real-Time Accurate Vision-Based Localization (Pierre Lothe (CEA LIST), Steve Bourgeois (CEA, LIST), Fabien Dekeyser (CEA, LIST), Eric Royer (LASMEA), Michel Dhome (Blaise Pascal University & CNRS))
  • Trajectory Reconstruction for Affine Structure-from-Motion by Global and Local Constraints (Hanno Ackermann (Leibniz University of Hannover), Bodo Rosenhahn (Leibniz University of Hannover))
  • Factorization for Non-Rigid and Articulated Structure using Metric Projections (Marco Paladini (Queen Mary, University of London), Alessio Del Bue (Instituto Superior Tecnico), Marko Sto_i_ (Instituto Superior TŽcnico), Marija Dodig (Universidade de Lisboa), Joao Xavier (Instituto Superior Tecnico), Lourdes Agapito (Queen Mary, University of London))
  • Piecewise Planar City 3D Modeling from Street View Panoramic Sequences (Branislav Micusik (Austrian Research Centers), Jana Kosecka (George Mason University))
  • Marked Point Processes for Crowd Counting (Weina Ge (Pennsylvania State University), Robert Collins (Pennsylvania State University))

  • Observe Locally, Infer Globally: a Space-Time MRF for Detecting Abnormal Activities with Incremental Updates (Jaechul Kim (University of Texas at Austin), Kristen Grauman (University of Texas at Austin))
  • Actions in context (Marcin Marszalek (INRIA), Ivan Laptev (INRIA), Cordelia Schmid (INRIA))

Tracking and Learning

Time: 5:10—6:30
Location: Sparkle East

  • SURFTrac: Efficient Tracking and Continuous Object Recognition using Local Feature Descriptors (Duy-Nguyen Ta (Georgia Institute of Technology), Wei-Chao Chen (Nokia Research Center), Natasha Gelfand (Nokia Research Center), Kari Pulli (Nokia Research Center))
  • Real Time Learning of Accurate Patch Rectification (Stefan Hinterstoisser (TU Munich), Oliver Kutter (TU Munich), Nassir Navab (TU Munich), Pascal Fua (EPFL), Vincent Lepetit (EPFL))

  • Learning to Associate: HybridBoosted Multi-Target Tracker for Crowded Scene (Yuan Li (University of Southern California), Chang Huang (University of Southern California), Ram Nevatia (University of Southern California))
  • Learning sign language by watching TV (using weakly aligned subtitles) (Patrick Buehler (University of Oxford), Mark Everingham (University of Leeds), Andrew Zisserman (University of Oxford))

Physics and Optimization

Time: 5:10—6:30
Location: Sparkle West

  • (De)Focusing on Global Light Transport for Active Scene Recovery (Mohit Gupta (Carnegie Mellon University), Yuandong Tian (Carnegie Mellon University), Srinivasa Narasimhan (Carnegie Mellon University), Li Zhang (University of Wisconsin-Madison))
  • A Projective Framework for Radiometric Image Analysis (Ping Tan (National University of Singapore), Todd Zickler (Harvard University))
  • Beyond Pairwise Energies: Efficient Optimization for Higher-order MRFs (Nikos Komodakis (University of Crete), Nikos Paragios (Ecole Centrale de Paris/INRIA Saclay, Ile-de-France))
  • Higher-Order Clique Reduction in Binary Graph Cut (Hiroshi Ishikawa (Nagoya City University))

 

 

 

 

 

 

 

 

 

 

 

 

 
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