Spotlight Posters (9 November)

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
Video
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
Video
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
Video
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
Video
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
Video
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
Video
2-35 Learning Occlusion with Likelihoods for Visual Tracking
Suha Kwak, POSTECH; Woonhyun Nam, POSTECH; Bohyung Han, POSTECH; Joon Hee Han, POSTECH
Video

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
Video
2-41 Weakly Supervised Semantic Segmentation with Multi-Image Model
Alexander Vezhnevets, ETHZ; Vittorio Ferrari; Joachim Buhmann, ETHZ
Video
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
Video
2-46 Extracting Adaptive Contextual Cues from Unlabeled Regions
Congcong Li, Cornell University; Devi Parikh; Tsuhan Chen
Video
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
Video
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.
Video

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
Video
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
Video
2-73 Panoramic Stereo Video Textures
Vincent Couture, Université de Montréal; Michael Langer; Sebastien Roy
Video
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.
Video
 

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