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Poster Session 4

May 1st, 2009

Tuesday, June 23

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))

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SFM and Geometry

May 1st, 2009

Tuesday, June 23

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))

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Face Recognition

May 1st, 2009

Tuesday, June 23

Time: 2:00—3:00
Location: Sparkle East
Session Chair: M-H Yang (UC Merced)

  • 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))

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Poster Session 3

May 1st, 2009

Tuesday, June 23

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))

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Texture, Symmetry, and Shape

May 1st, 2009

Tuesday, June 23

Time: 9:00—10:20
Location: Sparkle West
Session Chair: K. Dana (Rutgers)

  • 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))

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Object Detection and Recognition

May 1st, 2009

Tuesday, June 23

Time: 9:00—10:20
Location: Sparkle East
Session Chair: T. Tuytelaars (KU Levin)

  • 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))

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Tracking

May 1st, 2009

Monday, June 22

Time: 5:10—6:30
Location: Sparkle West
Session Chair: F. Dellaert (GA Tech)

  • 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))

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Statistical Methods and Learning

May 1st, 2009

Monday, June 22

Time: 5:10—6:30
Location: Sparkle East
Session Chair: S. Lazebnik (UNC)

  • 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))

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Poster Session 2

May 1st, 2009

Monday, June 22

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))

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Image Enhancement and Restoration

May 1st, 2009

Monday, June 22

Time: 2:00—3:00
Location: Sparkle West
Session Chair: M. Brown (NU Singapore)

  • 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))

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