Poster Session 1
Monday, June 22
Time: 10:30—12:30
Location: Splash 9-16
- A Unified Active and Semi-Supervised Learning Framework for Image Compression (Xiaofei He (Zhejiang University), Ming Ji (Zhejiang University), Hujun Bao (Zhejiang University))
- Digital Face Makeup by Example (Dong Guo (National University of Singapore), Terence Sim (National University of Singapore))
- Hardware-Efficient Belief Propagation (Chia-Kai Liang (National Taiwan University), Chao-Chung Cheng (National Taiwan University), Yen-Chieh Lai (National Taiwan University), Liang-Gee Chen (National Taiwan University), Homer Chen (National Taiwan University))
- Directed Assistance for Ink-Bleed Reduction in Old Documents (Zheng Lu (National University of Singapore), Zheng Wu (National University Of Singapore), Michael Brown (National University of Singapore))
- Vanishing Point Detection for Road Detection (Hui Kong (Ecole Normale Superieure), Jean-Yves Audibert (Ecole des Ponts & Ecole Normale SupŽrieure), Jean Ponce (Ecole Normale Superieure))
- Blind motion deblurring from a single image using sparse approximation (Jian-Feng Cai (National University of Singapore), Hui Ji (National University of Singapore), Chaoqiang Liu (National University of Singapore), Zuowei Shen (National University of Singapore))
- Human Age Estimation Using Bio-inspired Features (Guodong Guo (North Carolina Central University), Guowang Mu (North Carolina Central University), Yun Fu (BBN Technologies), Thomas Huang (University of Illinois at Urbana-Champaign))
- Cancelable Iris Biometrics and Using Error Correcting Codes to Reduce Variability in Biometric Data (Sanjay Kanade (Institut TELECOM; TELECOM & Management SudParis), Dijana Petrovska-DelacrŽtaz (Institut TELECOM; TELECOM & Management SudParis), Bernadette Dorizzi (Institut TELECOM; TELECOM & Management SudParis))
- Physiological Face Recognition Is Coming of Age (Pradeep Buddharaju (University of Houston), Ioannis Pavlidis (University of Houston))
- Support Vector Machines in Face Recognition with Occlusions (Hongjun Jia (The Ohio State University), Aleix Martinez (The Ohio State University))
- Boosted Multi-Task Learning for Face Verification With Applications to Web Image and Video Search (Xiaogang Wang (MIT), Cha Zhang (Microsoft Research), Zhengyou Zhang (Microsoft Research))
- Volterrafaces: Discriminant Analysis using Volterra Kernels (Ritwik Kumar (University of Florida), Arunava Banerjee (University of Florida), Baba Vemuri (University of Florida))
- Learning Mappings for Face Synthesis from Near Infrared to Visual Light Images (Jie Chen (University of Oulu), Dong Yi (Chinese Academy of Sciences), Jimei Yang (University of Science and Technology of China), Guoying Zhao (University of Oulu), Stan Li (Chinese Academy of Sciences), Matti PietikŠinen (University of Oulu))
- Shape Evolution for Rigid and Nonrigid Shape Registration and Recovery (Junyan Wang (Nanyang Technological University), Kap Luk Chan (Nanyang Technological University))
- SIFT-Rank: Ordinal Description for Invariant Feature Correspondence (Matthew Toews (Brigham and Women’s Hospital & Harvard Medical School), William Wells (Harvard Medical School & Brigham and Women’s Hospital))
- Picking the best DAISY (Simon Winder (Microsoft Research), Gang Hua (Microsoft Live Labs Research), Matthew Brown (University of British Columbia))
- Learning Similarity Measure for Multi-Modal 3D Image Registration (Daewon Lee (Max Planck Institute for Biological Cybernetics), Matthias Hofmann (Max Planck Institute for Biological Cybernetics), Florian Steinke (Siemens Corporate Technology), Yasemin Altun (Max Planck Institute for Biological Cybernetics), Nathan Cahill (University of Oxford), Bernhard Schšlkopf (Max Planck Institute for Biological Cybernetics))
- Constrained Marginal Space Learning for Efficient 3D Anatomical Structure Detection in Medical Images (Yefeng Zheng (Siemens Corporate Research), Bogdan Georgescu (Siemens Corporate Research), Haibin Ling (Temple University), S. Kevin Zhou (Siemens Corporate Research), Michael Scheuering (Siemens Corporate Research), Comaniciu Dorin (Siemens Corporate Research))
- Shape Analysis with Conformal Invariants for Multiply Connected Domains and its Application to Analyzing Brain Morphology (Yalin Wang (UCLA), Xianfeng Gu (State University of New York at Stony Brook), Tony Chan (Mathematics Department, UCLA), Paul Thompson (UCLA))
- Automated Feature Extraction for Early Detection of Diabetic Retinopathy in Fundus Images (Saiprasad Ravishankar (University of Illinois Urbana Champaign), Arpit Jain (University of Maryland), Anurag Mittal (IIT Madras))
- A Robust Parametric Method for Bias Field Estimation and Segmentation of MR Images (Chunming Li (Vanderbilt University), Chris Gatenby (Vanderbilt University), Li Wang (Nanjing University of Science and Technology), John Gore (Vanderbilt University))
- Markerless Motion Capture with Unsynchronized Moving Cameras (Nils Hasler (MPI Informatik), Bodo Rosenhahn (University of Hannover), Thorsten ThormŠhlen (Max Planck Institut Informatik), Michael Wand (Saarland University & Max Planck Institut Informatik), Juergen Gall (BIWI, ETH Zurich), Hans-Peter Seidel (Max Planck Institut Informatik))
- Early Spatiotemporal Grouping with a Distributed Oriented Energy Representation (Konstantinos Derpanis (York University), Richard Wildes (York University))
- Discriminatively Trained Particle Filters for Complex Multi-Object Tracking (Rob Hess (Oregon State University), Alan Fern (Oregon State University))
- ImageNet: A Large-Scale Hierarchical Image Database (Jia Deng (Princeton University), Wei Dong (Princeton University), Richard Socher (Princeton University), Li-Jia Li (Princeton University), Kai Li (Princeton University), Li Fei-Fei (Princeton University))
- Understanding Images of Groups of People (Andrew Gallagher (Eastman Kodak Company & Carnegie Mellon University), Tsuhan Chen (Cornell University))
- Efficient Algorithms for Subwindow Search in Object Detection and Localization (Senjian An (Curtin University of Technology), Patrick Peursum (Curtin University of Technology), Wanquan Liu (Curtin University of Technology), Svetha Venkatesh (Curtin University of Technology))
- Learning Mixed Templates for Object Recognition (Zhangzhang Si (UCLA), Haifeng Gong (UCLA), Ying Nian Wu (UCLA), Song-Chun Zhu (UCLA & Lotus Hill Institute))
- Fast concurrent object localization and recognition (Tom Yeh (MIT), John Lee (MIT), Trevor Darrell (University of California, Berkeley))
- Shape-based Detection of Moving Objects in Videos Using Synthetic 3D Models (Alexander Toshev (University of Pennsylvania), Ameesh Makadia (Google Research), Kostas Daniilidis (University of Pennsylvania))
- A Collaborative Benchmark for Region of Interest Detection Algorithms (Tz-Huan Huang (National Taiwan University), Kai-Yin Cheng (National Taiwan University), Yung-Yu Chuang (National Taiwan University))
- Pedestrian Detection: A Benchmark (Piotr Dollar (Caltech), Christian Wojek (TU Darmstadt), Bernt Schiele (TU Darmstadt), Pietro Perona (Caltech))
- Learning Trajectory Patterns by Clustering: Experimental Studies and Comparative Evaluation (Brendan Morris (University of California, San Diego), Mohan Trivedi (University of California, San Diego))
- Learning color and locality cues for moving object detection and segmentation (Feng Liu (University of Wisconsin-Madison), Michael Gleicher (University of Wisconsin-Madison))
- Increased Discrimination in Level Set Methods with Embedded Conditional Random Fields (Dana Cobzas (University of Alberta), Mark Schmidt (University of British Columbia))
- Extraction of Tubular Structures over an Orientation Domain (Micka‘l PŽchaud (CERTIS / LIENS), Gabriel PeyrŽ (CEREMADE), Renaud Keriven (Ecole des Ponts ParisTech))
- LidarBoost: Depth Superresolution for ToF 3D Shape Scanning (Sebastian Schuon (Stanford University), Christian Theobalt (Stanford University), James Davis (University of California, Santa Cruz), Sebastian Thrun (Stanford University))
- Efficient Planar Graph Cuts with Applications in Computer Vision (Frank Schmidt (University Of Bonn), Eno Toeppe (University of Bonn), Daniel Cremers (University of Bonn))
- Locally Constrained Diffusion Process on Locally Densified Distance Spaces with Applications to Shape Retrieval (Xingwei Yang (Temple University), Suzan Koknar-Tezel (Temple University), Longin Jan Latecki (Temple University))
- Shape Classification Through Structured Learning of Matching Measures (Longbin Chen (University of California, Santa Barbara), Julian McAuley (NICTA & Australian National University), Rogerio Feris (IBM T. J. Watson Research Center), Tiberio Caetano (NICTA), Matthew Turk (University of California, Santa Barbara))
- Surface Feature Detection and Description with Applications to Mesh Matching (Andrei Zaharescu (INRIA Grenoble), Edmond Boyer (LJK - INRIA Grenoble), Kiran Varanasi (INRIA Grenoble), Radu Horaud (INRIA Grenoble))
- Robust Multi-Class Transductive Learning with Graphs (Wei Liu (Columbia University), Shih-fu Chang (Columbia University))
- Multiplicative Nonnegative Graph Embedding (Changhu Wang (University of Science and Technology of China), Zheng Song (National University of Singapore), Shuicheng Yan (National University of Singapore), Lei Zhang (Microsoft Research Asia), Hong-Jiang Zhang (Microsoft Corporation))
- Image Categorization with Spatial Mismatch Kernels (Zhiwu Lu (City University of Hong Kong), Horace Ip (City University of Hong Kong))
- Multiple Instance Feature for Robust Part-based Object Detection (Zhe Lin (University of Maryland at College Park), Gang Hua (Microsoft Live Labs Research), Larry Davis (University of Maryland))
- Recognizing Indoor Scenes (Ariadna Quattoni (MIT & ICSI, Berkeley CA), Antonio Torralba (MIT))
- Constrained Clustering via Spectral Regularization (Zhenguo Li (The Chinese University of Hong Kong), Jianzhuang Liu (The Chinese University of Hong Kong), Xiaoou Tang (The Chinese University of Hong Kong))
- Manifold Discriminant Analysis (Ruiping Wang (Chinese Academy of Sciences), Xilin Chen (Chinese Academy of Sciences))
- Stereo Matching in the Presence of Sub-Pixel Calibration Errors (Heiko Hirschmueller (German Aerospace Center / DLR), Stefan Gehrig (Daimler AG))
- Mutual Information-based Stereo Matching Combined with SIFT Descriptor in Log-chromaticity Color Space (Yong Seok Heo (Seoul National University), Kyoung Mu Lee (Seoul National University), Sang Uk Lee (Seoul National University))
- Joint Depth and Alpha Matte Optimization via Fusion of Stereo and Time-of-Flight Sensor (Jiejie Zhu (University of Kentucky), Miao Liao (University of Kentucky), Ruigang Yang (University of Kentucky), Zhigeng Pan (Zhejiang University))
- Learning Semantic Visual Vocabularies Using Diffusion Distance (Jingen Liu (University of Central Florida), Yang Yang (University of Central Florida), Mubarak Shah (University of Central Florida))
- Topology Dictionary with Markov Model for 3D Video Content-Based Skimming and Description (Tony Tung (Kyoto University), Takashi Matsuyama (Kyoto University))
- Learning Optimized MAP Estimates in Continuously-Valued MRF Models (Kegan Samuel (University of Central Florida), Marshall Tappen (University of Central Florida))