Wednesday 9th November 2011
Session 1: Illumination and Reflectance (15 spotlights)
| Poster Number |
Title / Authors |
| 2-01 |
Active Scene Recognition with Vision and Language
Xiaodong Yu, University of Maryland; Cornelia Fermuller, University of Maryland; ChingLik Teo, University of Maryland; Yezhou Yang, University of Maryland; Yiannis Aloimonos |
| 2-02 |
Handling Label Noise in Video Classification via Multiple Instance Learning
Thomas Leung; Yang Song, Google; John Zhang |
| 2-03 |
Unsupervised Learning of Event AND-OR Grammar and Semantics from Video
Zhangzhang Si, UCLA; Mingtao Pei, UCLA; Benjamin Yao, UCLA; Song-Chun Zhu, UCLA |
| 2-04 |
Detailed Reconstruction of 3D Plant Root Shape
Ying Zheng, Duke University; Steve Gu, Duke University; Herbert Edelsbrunner, IST Austria; Carlo Tomasi, Duke University; Philip Benfey, Duke University |
| 2-05 |
Dynamic Fluid Surface Acquisition Using a Camera Array
Yuanyuan Ding; Feng Li, University of Delaware; Yu Ji, University of Delaware; Jingyi Yu |
| 2-06 |
Spatiotemporal Oriented Energies for Spacetime Stereo
Mikhail Sizintsev, York University; Richard Wildes, YorkUniversity |
| 2-07 |
Image Representation by Active Curves
Wenze Hu, UCLA; Ying Nian Wu, UCLA; Song-Chun Zhu, UCLA |
| 2-08 |
Diffuse Reflectance Imaging with Astronomical Applications
Samuel Hasinoff; Anat Levin, Weizmann Institute of Science; Philip Goode, Big Bear Solar Observatory; Bill Freeman |
| 2-09 |
Video Primal Sketch: A Generic Middle-Level Representation of Video
Zhi Han, UCLA; Zongben Xu; Song-Chun Zhu, UCLA |
| 2-10 |
Gradient-based learning of higher-order image features
Roland Memisevic |
| 2-11 |
Action Recognition in Videos Acquired by a Moving Camera Using Motion Decomposition of Lagrangian Particle Trajectories
Shandong Wu, University of Central Florida; Omar Oreifej; Mubarak Shah |
| 2-12 |
A Chains Model for Localizing Participants of Group Activities in Videos
Mohamed Amer, Oregon State University; Sinisa Todorovic |
| 2-13 |
Parsing Video Events with Goal inference and Intent Prediction
Mingtao Pei, School of Computer Science, Beijing Institute of Technology; Yunde Jia; Song-Chun Zhu, UCLA |
| 2-14 |
iGroup : Weakly supervised image and video grouping
Andrew Gilbert, University of Surrey; Richard Bowden |
| 2-15 |
A Selective Spatio-Temporal Interest Point Detector for Human Action Recognition in Complex Scenes
Bhaskar Chakraborty, Computer Vision Center; Michael Holte, Aalborg University; Thomas Moeslund, Aalborg University; Jordi Gonzàlez, CVC-UAB; Xavier Roca, Computer Vision Center |
Wednesday 9th November 2011
Session 2: Activity Recognition (20 spotlights)
| Poster Number |
Title / Authors |
| 2-16 |
Optimal Landmark Detection using Shape Models and Branch and Bound
Brian Amberg; Thomas Vetter, University of Basel
 |
| 2-17 |
Face Recognition Based on Non-Corresponding Region Matching
Annan Li, Chinese Academy of Sciences; Shiguang Shan; Xilin Chen, Institute of Computing Technology, CAS; Wen Gao
 |
| 2-18 |
Pose, Illumination and Expression Invariant Pairwise Face-Similarity Measure via Doppelgänger List Comparison
Florian Schroff; Tali Treibitz; David Kriegman; Serge Belongie, UCSD |
| 2-19 |
Face Recognition via Local Sparse Coding
Ilias Theodorakopoulos, University of Patras; Ioannis Rigas, University of Patras; George Economou, University of Patras; Spiros Fotopoulos, University of Patras |
| 2-20 |
Double Window Optimisation for Constant Time Visual SLAM
Hauke Strasdat, Imperial College London; Andrew Davison; JOSE MARIA MARTINEZ MONTIEL, I3A; Kurt Konolige
 |
| 2-21 |
Optimal Estimation of Vanishing Points in a Manhattan World
Faraz Mirzaei, University of Minnesota; Stergios Roumeliotis, University of Minnesota |
| 2-22 |
A robust pipeline for rapid feature-based pre-alignment of dense range scans
Francesco Bonarrigo; Alberto Signoroni, University of Brescia; Riccardo Leonardi, University of Brescia |
| 2-23 |
Simultaneous Localization, Mapping and Deblurring
Hee Seok Lee, Seoul National Univ.; Junghyun Kwon; Kyoung Mu Lee |
| 2-24 |
The Generalized Trace-Norm and its Application to Structure-from-Motion Problems
Roland Angst, ETH Zurich; Christopher Zach, ETH Zurich; Marc Pollefeys, ETH Zurich |
| 2-25 |
Multi-View 3D Reconstruction for Scenes under the Refractive Plane with Known Vertical Direction
Yao-Jen Chang, Cornell University; Tsuhan Chen
 |
| 2-26 |
Learning Component-Level Sparse Representation Using Histogram Information for Image Classification
Chen-Kuo Chiang, National Tsing Hua University; Chih-Hsueh Duan, National Tsing Hua University; Shang-Hong Lai, NTHU; Shih-Fu Chang, Columbia University |
| 2-27 |
From Images to Scenes: Compressing an Image Cluster into a Single Scene Model for Place Recognition
Edward Johns, Imperial College London; Guang-Zhong Yang |
| 2-28 |
Dyadic Transfer Learning for Cross-Domain Image Classification
Hua Wang, Univ. of Texas at Arlington; Feiping Nie, University of Texas at Arlington, Department of Computer Science and Engineering; Heng Huang, University of Texas Arlington; Chris Ding |
| 2-29 |
Contextual Weighting for Vocabulary Tree based Image Retrieval
Xiaoyu Wang, University of Missouri; Ming Yang, NEC Laboratories America; Timothee Cour, NEC Laboratories America; Shenghuo Zhu, NEC Laboratories America; Kai Yu; TonyX. Han |
| 2-30 |
Efficient Regression of General-Activity Human Poses from Depth Images
Ross Girshick; Jamie Shotton, Microsoft Research Cambridge; Pushmeet Kohli; Antonio Criminisi; Andrew Fitzgibbon |
| 2-31 |
3D Scene Flow Estimation with a Rigid Motion Prior
Christoph Vogel, ETH Zurich; Stefan Roth; Konrad Schindler |
| 2-32 |
Superpixel Tracking
Shu Wang; Huchuan Lu; Fan Yang, Dalian University of Technolog; Ming-Hsuan Yang
 |
| 2-33 |
Basis constrained 3D scene flow on a dynamic proxy
Neil Birkbeck, University of Alberta; Martin Jagersand, University of Alberta; Dana Cobzas, University of Alberta |
| 2-34 |
Similarity Invariant Classification of Events by KL Divergence Minimization
Salman Khokhar, UCF; Mubarak Shah; Imran Saleemi, University of Central Florida
 |
| 2-35 |
Learning Occlusion with Likelihoods for Visual Tracking
Suha Kwak, POSTECH; Woonhyun Nam, POSTECH; Bohyung Han, POSTECH; Joon Hee Han, POSTECH
 |
Wednesday 9th November 2011
Session 3: Attributes and Classification (20 spotlights)
| Poster Number |
Title / Authors |
| 2-36 |
Blurring-Invariant Riemannian Metrics for Comparing Signals and Images
Zhengwu Zhang, Florida State University; Eric Klassen; Pavan Turaga; Rama Chellappa, UMD; Anuj Srivastava |
| 2-37 |
Simultaneous Correspondence and Non-Rigid 3D Reconstruction of the Coronary Tree from Single X-ray Images
Eduard Serradell, Institut de Robotica i Informatica Industrial (CSIC-UPC); Adriana Romero, Computer Vision Center, Bellaterra, Spain; Rubem Leta, Hospital de la Santa Creu i Sant Pau, Spain; Carlo Gatta, University of Barcelona; Francesc Moreno |
| 2-38 |
Incremental On-line Semi-supervised Learning for Segmenting the Left Ventricle of the Heart from Ultrasound Data
Gustavo Carneiro, The University of Adelaide; Jacinto Nascimento, Instituto Superior Tecnico |
| 2-39 |
Multi-observation Visual Recognition via Joint Dynamic Sparse Representation
Haichao Zhang, UIUC, NWPU; Nasser Nasrabadi, U.S. Army Research Laboratory; Yanning Zhang, Northwestern Polytechnical University; Thomas Huang, UIUC |
| 2-40 |
Articulated Part-based Model for Joint Object Detection and Pose Estimation
Min Sun; Silvio Savarese
 |
| 2-41 |
Weakly Supervised Semantic Segmentation with Multi-Image Model
Alexander Vezhnevets, ETHZ; Vittorio Ferrari; Joachim Buhmann, ETHZ
 |
| 2-42 |
Segmentation as Selective Search for Object Recognition
Koen Van de Sande, University of Amsterdam; Jasper Uijlings, University of Trento; Theo Gevers, University of Amsterdam; Arnold Smeulders |
| 2-43 |
Extracting Foreground Masks towards Object Recognition
Amir Rosenfeld, Hebrew University of Jerusalem; Daphna Weinshall, Hebrew University |
| 2-44 |
Ensemble of Exemplar-SVMs for Object Detection and Beyond
Tomasz Malisiewicz, CMU; Abhinav Gupta; Alexei Efros, CMU |
| 2-45 |
Viewpoint-Aware Object Detection and Pose Estimation
Daniel Glasner, Weizmann Institute of Science; Meirav Galun, Weizmann Inst. of Science; Sharon Alpert; Ronen Basri; Gregory Shakhnarovich
 |
| 2-46 |
Extracting Adaptive Contextual Cues from Unlabeled Regions
Congcong Li, Cornell University; Devi Parikh; Tsuhan Chen
 |
| 2-47 |
Efficient Learning of Sparse, Distributed, Convolutional Feature Representations for Object Recognition
Kihyuk Sohn, University of Michigan; Dae Jung, University of Michigan; Honglak Lee; Alfred Hero
 |
| 2-48 |
Silhouette-based Object Phenotype Recognition using 3D Shape Priors
Yu Chen, University of Cambridge; Tae-Kyun Kim, Imperial College London; Roberto Cipolla, University of Cambridge |
| 2-49 |
Video Parsing for Abnormality Detection
Borislav Antic, University of Heidelberg; Bjorn Ommer |
| 2-50 |
Efficient parallel message computation for MAP inference
Stavros Alchatzidis, ECP; Aristeidis Sotiras, ECP; Nikos Paragios |
| 2-51 |
Recursive MDL via Graph Cuts: Application to Segmentation
Lena Gorelick; Andrew Delong; Olga Veksler, UWO; Yuri Boykov, University of Western Ontario |
| 2-52 |
Efficient Orthogonal Matching Pursuit using sparse random projections for scene and video classification
Shiv Vitaladevuni, Raytheon BBN Technologies; Pradeep Natarajan; Rohit Prasad; Prem Natarajan |
| 2-53 |
Building large urban environments from unstructured point data
Florent Lafarge; Clément Mallet, IGN |
| 2-54 |
Local Intensity Order Pattern for Feature Description
Zhenhua Wang, National Laboratory of Pattern Recognition, CASIA; Bin Fan; Fuchao Wu |
| 2-55 |
Minimum Near-Convex Decomposition for Robust Shape Representation
Zhou Ren, Nanyang Technological Univ.; Junsong Yuan, Nanyang Technological University; Li Chunyuan, Huazhong Univ. of Sci. and Tech.; Liu Wenyu, Huazhong Univ. of Sci. and Tech.
 |
Wednesday 9th November 2011
Session 4: Segmentation and Grouping (20 spotlights)
| Poster Number |
Title / Authors |
| 2-56 |
StereoCut: Consistent Interactive Object Selection in Stereo Image Pairs
Brian Price; Scott Cohen, Adobe Systems
 |
| 2-57 |
Are Spatial and Global Constraints Really Necessary for Segmentation?
Aurelien Lucchi, EPFL; Yunpeng Li; Xavier Boix, CVC; Kevin Smith; Pascal Fua |
| 2-58 |
Segmentation from a Box
Leo Grady; Marie-Pierre Jolly, Siemens Corporate Research; Aaron Seitz, University of California - Riverside |
| 2-59 |
Multi-task Low-rank Affinity Pursuit for Image Segmentation
Bin Cheng, NUS; Guangcan Liu, NUS; Jingdong Wang; Zhongyang Huang, Panasonic; Shuicheng Yan |
| 2-60 |
Structure-sensitive Superpixels via Geodesic Distance
Gang Zeng; Peng Wang, Peking Univ; Jingdong Wang; Rui Gan; Hongbin Zha |
| 2-61 |
Point-based Calibration Using a Parametric Representation of the General Imaging Model
Pedro Miraldo, ISR - Universidade de Coimbra; Helder Araujo; Joao Queiro, University of Coimbra |
| 2-62 |
Refractive Shape from Light Field Distortion
Gordon Wetzstein; David Roodnick, University of British Columbia; Wolfgang Heidrich; Ramesh Raskar, MIT Media Lab |
| 2-63 |
Self-Calibrating Depth from Refraction
Zhihu Chen, The University of HongKong; Kwan-Yee Wong , The University of HongKong; Yasuyuki Matsushita; Xiaolong Zhu, The University of Hong Kong; Miaomiao Liu, The University of HongKong |
| 2-64 |
Latent Low-Rank Representation for Subspace Segmentation and Feature Extraction
Guangcan Liu, NUS; Shuicheng Yan |
| 2-65 |
Correlative Multi-Label Multi-Instance Image Annotation
Xiangyang Xue, Fudan University; Wei Zhang, Fudan.edu.cn; Jie Zhang, Fudan University, China; Bin Wu, Fudan University, China; Jianping Fan, UNC-Charlotte; Yao Lu, Fudan University |
| 2-66 |
Learning Equivariant Structured Output SVM regressors
Andrea Vedaldi, Oxford; Matthew Blaschko; Andrew Zisserman |
| 2-67 |
Learning A Mixture of Sparse Distance Metrics for Classification and Dimensionality Reduction
Yi Hong, UCLA; Quannan Li, UCLA; jiayan Jiang, ucla; Zhuowen Tu |
| 2-68 |
Learning Specific-Class Segmentation from Diverse Data
M. Pawan Kumar, Stanford University; Haithem Turki, Stanford University; Dan Preston, Stanford University; Daphne Koller, Stanford University |
| 2-69 |
Tasting Families of Features for Image Classification
Charles Dubout, IDIAP; Francois Fleuret, Idiap Research Institute |
| 2-70 |
Low Order Dynamics Embedding for High Dimensional Time Series
Xiong Fei, Northeastern University; Octavia Camps; Mario Sznaier, Northeastern University |
| 2-71 |
A Nonparametric Riemannian Framework on Tensor Field with Application to Foreground Segmentation
Rui Caseiro, Institute Systems Robotics - University Coimbra - Portugal; João Henriques, ISR - University of Coimbra; Pedro Martins, Institute of Systems and Robotics; Jorge Batista, ISR,DEEC,FCTUC |
| 2-72 |
Gaussian Process Regression Flow for Analysis of Motion Trajectories
Kihwan Kim, Georgia Institute of Technolog; Dongryeol Lee, Georgia Institute of Technology; Irfan Essa
 |
| 2-73 |
Panoramic Stereo Video Textures
Vincent Couture, Université de Montréal; Michael Langer; Sebastien Roy
 |
| 2-74 |
Scale and Object Aware Image Retargeting for Thumbnail Browsing
Jin Sun, Temple University; Haibin Ling |
| 2-75 |
Probabilistic 3D Object Recognition with Both Positive and Negative Evidences
Sukhan Lee, SungKyunKwan University; Zhaojin Lu, SungKyunKwan University; Hyunwoo Kim, Multimedia Research Team, Daum Communication Corp.
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