Wednesday, June 24

Time: 5:10—6:30
Location: Sparkle West
Session Chair: D. Cremers (U Bonn)

• (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))

Wednesday, June 24

Time: 5:10—6:30
Location: Sparkle East
Session Chair: F. Porikli (MERL)

• 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)) 

Wednesday, June 24

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))

Wednesday, June 24

Time: 2:00—3:00
Location: Sparkle West
Session Chair: G. Hager (JHU)

• 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))

Wednesday, June 24

Time: 2:00—3:00
Location: Sparkle East
Session Chair: Fei-fei Li (Princeton)

• 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))

Wednesday, June 24

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))

Wednesday, June 24

Time: 9:00—10:20
Location: Sparkle West
Session Chair: A. Efros (CMU)

• 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))

Wednesday, June 24

Time: 9:00—10:20
Location: Sparkle East
Session Chair: A. Hoogs (Kitware)

• 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))

Tuesday, June 23

Time: 5:00-6:35

Location: Sparkle East

Session Chair: Michael Black

Awards Ceremony will be held after the Paper Presentations.

Best Paper:

• 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))

Best Paper - Honorable Mention:

• Understanding and evaluating blind deconvolution algorithms (Anat Levin (MIT & Weizmann Institute), Yair Weiss (Hebrew University of Jerusalem), Fredo Durand (MIT), Bill Freeman (MIT and Adobe))

Best Student Paper:

• Nonparametric Scene Parsing: Label Transfer via Dense Scene Alignment (Ce Liu (MIT), Jenny Yuen (MIT), Antonio Torralba (MIT))

Best Student Paper - Honorable Mention:

• 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)).

Longuet-Higgins Award

Longuet-Higgins Prize for Fundamental Contributions in Computer Vision is will be awarded at CVPR 2009 for papers that have “withstood the test of time.” Named after H. Christopher Longuet-Higgins, this award aims to recognize papers from CVPR meeting of 10 years back (ie. CVPR 1999) that have had a fundamental impact on the field of Computer Vision. More specifically, “The contribution of Longuet-Higgins to computer vision and pattern recognition was a series of sudden and pinpoint advances resulting from extended scholarship rather than an accretion of archived output.  Thus the Longuet-Higgins prize rewards an individual advance, represented by a single conference paper—underlining the special role of conference publications as the harbingers of innovation in this discipline.” This award was established in 2005.

At CVPR 2009, two papers from CVPR 1999 will be awarded the Longuet-Higgins Prize for Fundamental Contributions in Computer Vision:

• Jinggang Huang, David Mumford, “Statistics of Natural Images and Models,” cvpr, vol. 1, pp.1541, 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR’99) - Volume 1, 1999
• Chris Stauffer, W.E.L. Grimson, “Adaptive Background Mixture Models for Real-Time Tracking,” cvpr, vol. 2, pp.2246, 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR’99) - Volume 2, 1999

 The prize is selected by a small committee, drawn from across the field by the conference chairs, and as far as possible excluding those who were authors of papers in the source conference. Here is a list of previous award winners.

Best Demos

• “Retrographic sensing for the measurement of surface texture and shape”, Micah K. Johnson, Edward H. Adelson
• “Robust feature matching in 2.3 µs”, Simon Taylor, Edward Rosten, Tom Drummond

Outstanding Reviewer Awards:

We are pleased to award the following fifteen researchers as “Outstanding Reviewers for CVPR 2009″. These reviewers were selected from over 700 reviewers for their hard work in providing detailed reviews for the papers assigned to them. These top ranked 15 reviewers were identified by one or more of the CVPR Area Chairs, who found their reviews of high quality. Review load was also accounted for in this decision (reviewers with low review loads were discounted). We identified these reviewers separately depending on if they were senior students or senior researchers.

Graduate Students:

• Liu, Ce (MIT)
• Mateus, Diana (TUM)
• Schoenemann, Thomas (U Bonn)
• Tai, Yu-Wing (NU Singapore)
• Wojek, Christian (TU Darmstadt)

Researcher/Faculty:

• Everingham, Mark (Leeds)
• Laptev, Ivan (INRIA)
• Levoy, Marc (Stanford)
• Leibe, Bastian (Aachen)
• Pajdla, Tomas (Czech TU)
• Saund, Eric (Xerox)
• Schlesinger, Dmitrij (TU Dresden)
• Siddiqi, Kaleem (McGill)
• Torresani, Lorenzo (Dartmouth)
• Verbeek, Jakob (INRIA)