Archive for the ‘Uncategorized’ Category

Poster Session 5

Friday, May 1st, 2009

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))

Segmentation

Friday, May 1st, 2009

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))

Poster Session 4

Friday, 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))

SFM and Geometry

Friday, 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))

Face Recognition

Friday, 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))

Poster Session 3

Friday, 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))

Texture, Symmetry, and Shape

Friday, 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))

Object Detection and Recognition

Friday, 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))

Tracking

Friday, 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))

Statistical Methods and Learning

Friday, 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))

CVPR 2009 website is proudly powered by WordPress
[Entries (RSS) | Comments (RSS) | Admin | Logout ]