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))

This entry was posted on Friday, May 1st, 2009 at 11:59 am and is filed under Uncategorized. You can follow any responses to this entry through the RSS 2.0 feed. You can leave a response, or trackback from your own site.