Poster Session 2
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))