|
Tuesday 8th November 2011
| Poster Number |
Title / Authors |
| 1-01 |
Pushing the limits of digital imaging using Structured Illumination
Prasanna Rangarajan, Southern Methodist University; Indranil Sinharoy, Southern Methodist University; Panos Papamichalis; Marc Christensen, Southern Methodist University |
| 1-02 |
Active Clustering of Document Fragments using Information Derived from both Images and Catalogs
Lior Wolf; lior Litwak, Tel-Aviv University; Nachum Dershowitz, Tel-Aviv University; Roni Shweka, FGP; Yaacov Choueka, FGP |
| 1-03 |
Non-stationary Correction of Optical Aberrations
Christian Schuler, MPI for Intelligent Systems; Michael Hirsch, MPI for Metals Research; Stefan Harmeling, MPI for Metals Research; Bernhard Schölkopf, MPI |
| 1-04 |
Contour Code: Robust and Efficient Multispectral Palmprint Encoding for Human Recognition
Zohaib Khan, University of WesternAustralia; Ajmal Mian, University of Western Australia; Yiqun Hu, University of Western Australia |
| 1-05 |
Linear stereo matching
Leonardo De-Maeztu, Universidad Pública de Navarra; Stefano Mattoccia, University of Bologna; Arantxa Villanueva, Public University of Navarre; Rafael Cabeza, Public University of Navarre |
| 1-06 |
Variational Stereo in Dynamic Illumination
Yohay Swirski, Technion; Yoav Schechner, Tehnion; Tal Nir, Technion |
| 1-07 |
Learning Nonlinear Distance Functions using Neural Network for Regression with Application to Robust Human Age Estimation
Fan Na, Nanjing University |
| 1-08 |
Revisiting Radiometric Calibration for Color Computer Vision
Lin Haiting, NUS; Seon Joo Kim; Sabine Susstrunk, EPFL; Michael Brown |
| 1-09 |
The Medial Feature Detector: Stable Regions from Image Boundaries
Yannis Avrithis, National Technical Univ Athens; Konstantinos Rapantzikos, National Technical University of Athens |
| 1-10 |
A Theory of Coprime Blurred Pairs
Feng Li, University of Delaware; Zijia Li; David Saunders; Jingyi Yu |
| 1-11 |
Learning to Predict the Perceived Visual Quality of Photos
Ou Wu, NLPR, Institute of Automation; Weiming Hu, Institute of Automation; Jun Gao |
| 1-12 |
Source Constrained Clustering
Ekaterina Taralova, Carnegie Mellon University; Fernando DelaTorre; Martial Hebert |
| 1-13 |
Sparse Dictionary-based Representation and Recognition of Action Attributes
Qiang Qiu, U. of Maryland College Park; Zhuolin Jiang, University of Maryland; Rama Chellappa, UMD |
| 1-14 |
HMDB: A Large Video Database for Human Motion Recognition
Hildegard Kuehne, KIT; Hueihan Jhuang, Massachusetts Institute of Technology; Estibaliz Garrote; Tomaso Poggio; Thomas Serre, Brown University |
| 1-15 |
Inferring Social Relations from Visual Concepts
Lei Ding, Columbia University; Alper Yilmaz |
| 1-16 |
A FACS Valid 3D Dynamic Action Unit Database with Applications to 3D Dynamic Morphable Facial Modeling
Darren Cosker, University of Bath; Eva Krumhuber; Adrian Hilton |
| 1-17 |
Maximizing All Margins: Pushing Face Recognition with Kernel Plurality
Ritwik Kumar, IBM Research; Arunava Banerjee, CISE, Univ, of Florida; Baba Vemuri; Hanspeter Pfister, Harvard University
 |
| 1-18 |
Exemplar Extraction using Spatio-Temporal Hierarchical Agglomerative Clustering for Face Recognition in Video
John See, Multimedia University, Malaysia; Chikkannan Eswaran, Multimedia University, Malaysia |
| 1-19 |
Exploring Regularized Feature Selection for Person Specific Face Verification
Yixiong Liang, Central South Univ.; Shenghui Liao; Lei Wang; Beiji Zou |
| 1-20 |
A Linear Subspace Learning Approach via Sparse Coding
Lei Zhang, The Hong Kong Polytechnic University; Pengfei Zhu, The Hong Kong Polytechnic University; Qinghua Hu, Harbin Institute of Technology; David Zhang |
| 1-21 |
Trajectory reconstruction from non-overlapping surveillance cameras with relative depth ordering constraints
Branislav Micusik |
| 1-22 |
DTAM: Dense Tracking and Mapping in Real-Time
Richard Newcombe; Steven Lovegrove; Andrew Davison
 |
| 1-23 |
Scale Space for Central Catadioptric Systems. Towards a Generic Camera Feature Extractor.
Luis Puig, Universidad de Zaragoza; Jose Guerrero, Universidad de Zaragoza |
| 1-24 |
Kernel Non-Rigid Structure from Motion
Paulo Gotardo, The Ohio State University; Aleix Martinez
 |
| 1-25 |
A Dimensionality Result for Multiple Homography Matrices
Wojciech Chojnacki, University of Adelaide; Anton vandenHengel |
| 1-26 |
Text-Based Image Retrieval using Progressive Multi-Instance Learning
Wen Li, NTU; Lixin Duan, NTU; Dong Xu; Ivor W. Tsang |
| 1-27 |
Sparse Multi-Task Regression and Feature Selection to Identify Brain Imaging Predictors for Memory Performance
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; Shannon Risacher; Chris Ding; Andrew Saykin, Department of Radiology and |
| 1-28 |
Content-Based Photo Quality Assessment
Wei Luo, CUHK; Xiaogang Wang, The Chinese University of Hong Kong; Xiaoou Tang, CUHK |
| 1-29 |
HEAT: Iterative Relevance Feedback with One Million Images
Nicolae Suditu, Idiap Research Institute; Francois Fleuret, Idiap Research Institute |
| 1-30 |
Unsupervised Learning of a Scene-Specific Coarse Gaze Estimator
Ben Benfold, University of Oxford; Ian Reid |
| 1-31 |
Learning to Cluster Using High Order Graphical Models with Latent Variables
Nikos Komodakis |
| 1-32 |
Diagonal preconditioning for first order primal-dual algorithms in convex optimization
Thomas Pock; Antonin Chambolle, CMAP, Ecole Polytechnique-CNRS |
| 1-33 |
Tracking Multiple People under Global Appearance Constraints
Horesh Ben Shitrit, EPFL; Jerome Berclaz, EPFL; Francois Fleuret, Idiap Research Institute; Pascal Fua
 |
| 1-34 |
Treat samples differently: Object tracking with semi-supervised online CovBoost
Guorong Li, CAS; Lei Qin; Qingming Huang, Graduate Univ of Chinese Academy of Sciences; Junbiao Pang; Shuqiang Jiang |
| 1-35 |
Kinecting the dots: Particle Based Scene Flow From Depth Sensors
Simon Hadfield, University of Surrey; Richard Bowden
 |
| 1-36 |
Graph mode-based contextual kernels for robust SVM tracking
Xi Li, University of Adelaide; Anthony Dick, The University of Adelaide; Hanzi Wang; Chunhua Shen, University of Adelaide; Anton vandenHengel |
| 1-37 |
Outdoor Human Motion Capture using Inverse Kinematics and von Mises-Fisher Sampling
Gerard Pons-Moll, Leibniz University Hannover; Andreas Baak, Saarland University; Juergen Gall, ETH Zurich; Laura Leal-Taixé, Leibniz Universitaet Hannover; Meinard Mueller, Saarland University and MPI Informatik; Hans-Peter Seidel; Bodo Rosenhahn
 |
| 1-38 |
Blurred Target Tracking by Blur-driven Tracker
Yi Wu, Temple University; Haibin Ling; Jingyi Yu; Feng Li, University of Delaware; Xue Mei; erkang Cheng |
| 1-39 |
Informative Feature Selection for Object Recognition via Sparse PCA
Nikhil Naikal, UC Berkeley; Allen Yang; Shankar Sastry, UC Berkeley |
| 1-40 |
Action Recognition using Rank-1 Approximation of Joint Self-Similarity Volume
Chuan Sun, UCF; Hassan Foroosh, UCF; Imran Junejo |
| 1-41 |
The Truth about Cats and Dogs
Omkar Parkhi, IIIT Hyderabad; Andrea Vedaldi, Oxford; C. V. Jawahar, IIIT Hyderabad; Andrew Zisserman |
| 1-42 |
The NBNN kernel
Tinne Tuytelaars, K.U.Leuven; Mario Fritz, MPI; Kate Saenko; Trevor Darrell, UC Berkeley |
| 1-43 |
A New Distance for Scale-Invariant 3D Shape Recognition and Registration
Minh-Tri Pham, Toshiba Research Europe Ltd; Oliver Woodford, Toshiba Research Europe Ltd; Frank Perbet, Toshiba Research Europe Ltd; Atsuto Maki; Bjorn Stenger, Toshiba Research Europe Ltd; Roberto Cipolla, University of Cambridge
 |
| 1-44 |
Salient Object Detection using Concavity Context
Yao Lu, Fudan University; Wei Zhang, Fudan University; Hong Lu, Fudan University; Xiangyang Xue, Fudan University |
| 1-45 |
Spatial Pyramid Co-occurrence for Image Classification
Yi Yang, University of California at Merced; Shawn Newsam |
| 1-46 |
Actively Selecting Annotations Among Objects and Attributes
Adriana Kovashka, University of Texas at Austin; Sudheendra Vijayanarasimhan; Kristen Grauman
 |
| 1-47 |
Scene Recognition and Weakly Supervised Object Localization with Deformable Part-Based Models
Megha Pandey, University of North Carolina at Chapel Hill; Svetlana Lazebnik, University of North Carolina at Chapel Hill |
| 1-48 |
Multi-label Visual Classification with Label Exclusive Context
Xiangyu Chen, NUS; Xiao-Tong Yuan, National University of Singapo; Qiang Chen, National University of Singapore; Shuicheng Yan; Chua Tat-Seng, National University of Singapore |
| 1-49 |
CARD: Compact And Real-time Descriptors
Mitsuru Ambai, Denso IT Laboratory, Inc.; Yuichi Yoshida, Denso IT Laboratory, Inc. |
| 1-50 |
BiCoS: A Bi-level Co-Segmentation Method for Image Classification
Yuning Chai, ETHZ; Victor Lempitsky; Andrew Zisserman |
| 1-51 |
Convex Multi-Region Probabilistic Segmentation with Shape Prior in the Isometric Log-Ratio Transformation Space
Shawn Andrews, Simon Fraser University; Chris McIntosh, Simon Fraser University; Ghassan Hamarneh, Simon Fraser University |
| 1-52 |
A General Preconditioning Scheme for Difference Measures in Deformable Registration
Darko Zikic; Maximilian Baust, "CAMP, TU Munich"; Ali Kamen; Nassir Navab, TU Munich |
| 1-53 |
A 3D Laplacian-Driven Parametric Deformable Model
Tian Shen, Lehigh University; Xiaolei Huang; Hongsheng Li; Edward Kim; Shaoting Zhang, Rutgers University; Junzhou Huang, Rutgers University |
| 1-54 |
Object Segmentation in Video: A Hierarchical Variational Approach for Turning Point Trajectories into Dense Regions
Peter Ochs, University Freiburg; Thomas Brox, Albert-Ludwigs-University Freiburg |
| 1-55 |
Spatio-Temporal Clustering of Probabilistic Region Trajectories
Fabio Galasso, University of Cambridge; Masahiro Iwasaki, Panasonic corp.; Kunio Nobori, Panasonic; Roberto Cipolla, University of Cambridge |
| 1-56 |
Generalized Background Subtraction Based on Hybrid Inference by Belief Propagation and Bayesian Filtering
Suha Kwak, POSTECH; Taegyu Lim, POSTECH; Woonhyun Nam, POSTECH; Bohyung Han, POSTECH; Joon Hee Han, POSTECH
 |
| 1-57 |
Video from a Single Coded Exposure Photograph using a Learned Over-Complete Dictionary
Yasunobu Hitomi, Sony Corporation; Jinwei Gu, Rochester Institute of Technology; Mohit Gupta, Columbia University; Tomoo Mitsunaga, Sony Corporation; Shree Nayar, Columbia University
 |
| 1-58 |
Unwrapping Low-rank Textures on Generalized Cylindrical Surfaces
Zhengdong Zhang, Microsoft Research Asia; Xiao Liang, Tsinghua University; Yi Ma, Microsoft Research Asia
 |
| 1-59 |
Unstructured Light Scanning to Overcome Interreflections
Vincent Couture, Université de Montréal; Nicolas Martin, Université de Montréal; Sebastien Roy
 |
| 1-60 |
On the repeatability of the local reference frame for partial shape matching
Alioscia Petrelli, CVLab - University of Bologna; Luigi Di Stefano, DEIS , University of Bologna |
| 1-61 |
Geometrically Consistent Elastic Matching of 3D Shapes: A Linear Programming Solution
Thomas Windheuser, TU Muenchen; Ulrich Schlickewei; Frank Schmidt, University of Western Ontario; Daniel Cremers, TU Munich
 |
| 1-62 |
Correspondence Free Registration through a Point-to-Model Distance Minimization
Mohammad Rouhani, Computer Vision Center; Angel Sappa, Computer Vision Center |
| 1-63 |
Multi-class Semi-supervised SVMs with Positiveness Exclusive Regularization
Xiaobai Liu, Hust.edu.cn; nus.edu.sg; Xiao-Tong Yuan, National University of Singapo; Shuicheng Yan; Hai Jin, hust.edu.cn |
| 1-64 |
Centralized Sparse Representation for Image Restoration
Weisheng Dong, Xidian University; Lei Zhang, The Hong Kong Polytechnic University; Guangming Shi |
| 1-65 |
Positive Definite Dictionary Learning for Region Covariances
Ravishankar Sivalingam, University of Minnesota; Daniel Boley, University of Minnesota; Vassilios Morellas, University of Minnesota; Nikolaos Papanikolopoulos |
| 1-66 |
Learning Cross-modality Similarity for Multinomial Data
Yangqing Jia, UC Berkeley; Mathieu Salzmann, TTI Chicago; Trevor Darrell, UC Berkeley |
| 1-67 |
Random Ensemble Metrics for Object Recognition
Tatsuo Kozakaya, Toshiba Corporation; Satoshi Ito, Toshiba Corporation; Susumu Kubota, Toshiba Corporation |
| 1-68 |
Diffusion Runs Low on Persistence Fast
Chao Chen, IST Austria; Herbert Edelsbrunner, IST Austria
 |
| 1-69 |
Illumination Demultiplexing from a Single Image
Christine Chen, ETH Zürich; Daniel Vaquero, UC Santa Barbara; Matthew Turk, University of California, Santa Barbara
 |
| 1-70 |
ORB: an efficient alternative to SIFT or SURF
Ethan Rublee, Willow Garage; Vincent Rabaud, willowgarage; Kurt Konolige; Gary Bradski |
| 1-71 |
Temporally Coded Flash Illumination for Motion Deblurring
Scott McCloskey, Honeywell ACS Labs |
Wednesday 9th November 2011
| 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 |
| 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
 |
| 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.
 |
| 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.
 |
Thursday 10th November 2011
| Poster Number |
Title / Authors |
| 3-01 |
Automatic Salient Object Extraction with Contextual Cue
Le Wang, IAIR, XJTU, China; Jianru Xue; Nanning Zheng; Gang Hua |
| 3-02 |
Predicting Occupation via Human Clothing and Contexts
Zheng Song, National University of Singapo; Meng Wang, National University of Singapo; Xian-Sheng Hua; Shuicheng Yan |
| 3-03 |
An Automatic Assembly and Completion Framework for Fragmented Skulls
Zhao Yin, Xiamen University; Li Wei; Mary Manhein, Department of Geography and Anthropology; Xin Li, Louisiana State University
 |
| 3-04 |
Stereo Reconstruction using High Order Likelihood
Hoyub Jung, Seoul National University; Kyoung Mu Lee; Sang Uk Lee, Seoul National University |
| 3-05 |
2D-3D Fusion for Layer Decomposition of Urban Facades
Yangyan Li, SIAT, China; Qian Zheng , SIAT, China; Andrei Sharf, Ben-Gurion University; Daniel Cohen-Or, Tel-Aviv University; Baoquan Chen, SIAT, China; Niloy Mitra, IIT Delhi |
| 3-06 |
Simultaneous Multi-Body Stereo and Segmentation
Guofeng Zhang, Zhejiang University; Jiaya Jia; Hujun Bao, Zhejiang University
 |
| 3-07 |
Center-surround Divergence of Feature Statistics for Salient Object Detection
Dominik Klein, University of Bonn; Simone Frintrop, University of Bonn |
| 3-08 |
What Characterizes a Shadow Boundary under the Sun and Sky?
Xiang Huang, Northwestern University; Gang Hua; Jack Tumblin; Lance Williams |
| 3-09 |
Semantic Contours from Inverse Detectors
Bharath Hariharan, UC Berkeley; Pablo Arbelaez; Lubomir Bourdev, UC Berkeley; Subhransu Maji, UC Berkeley; Jitendra Malik, UC Berkeley
 |
| 3-10 |
High Quality Image Reconstruction from RAW and JPEG Image Pair
Lu Yuan, Microsoft Research; Jian Sun |
| 3-11 |
Automatic Construction of an Action Video Shot Database using Web Videos
Do Hang Nga; Keiji Yanai
 |
| 3-12 |
Feature Seeding for Action Recognition
Pyry Matikainen, Carnegie Mellon University; Rahul Sukthankar; Martial Hebert |
| 3-13 |
Spectral Learning of Latent Semantics for Action Recognition
Zhiwu Lu, Peking University; Yuxin Peng, Peking University; Horace Ip |
| 3-14 |
Learning parameterized histogram kernels on the simplex manifold for image and action classification
Vitaly Ablavsky, Boston University; Stan Sclaroff, Boston University |
| 3-15 |
Probabilistic Group-Level Motion Analysis and Scenario Recognition
Ming-Ching Chang, General Electric; Nils Krahnstoever, GE Global Research Center; Weina Ge, GE Global Research Center
 |
| 3-16 |
Digital Anti-Aging in Face Images
Guodong Guo |
| 3-17 |
Recognising Spontaneous Facial Micro-expressions
Tomas Pfister, University of Oulu; Xiaobai Li, University of Oulu; Guoying Zhao, "University of Oulu, Finland"; Matti Pietikäinen
 |
| 3-18 |
Inferring Human Gaze from Appearance via Adaptive Linear Regression
Feng Lu, The university of tokyo; Yusuke Sugano; Takahiro Okabe; Yoichi Sato
 |
| 3-19 |
Sparse Representation or Collaborative Representation: Which Helps Face Recognition?
Lei Zhang, The Hong Kong Polytechnic University; Meng Yang, The Hong Kong Polytechnic University; Xiangchu Feng, Xidian University |
| 3-20 |
Real-time Indoor Scene Understanding using Bayesian Filtering with Motion Cues
Grace Tsai, University of Michigan; Changhai Xu, University of Texas at Austin; Jingen Liu; Benjamin Kuipers
 |
| 3-21 |
Pose Estimation from Reflections for Specular Surface Recovery
Miaomiao Liu, The University of HongKong; Kwan-Yee Wong , The University of HongKong; Zhenwen Dai, FIAS; Zhihu Chen, The University of HongKong |
| 3-22 |
Scan Rectification for Structured Light Range Sensors with Rolling Shutters
Erik Ringaby, Linkoping University; Per-Erik Forssen
 |
| 3-23 |
Decoupling Photometry and Geometry in Dense Variational Camera Calibration
Mathieu Aubry, TU Munchen; Kalin Kolev; Bastian Goldluecke; Daniel Cremers, TU Munich |
| 3-24 |
Variational Recursive Joint Estimation of Dense Scene Structure and Camera Motion from Monocular High Speed Traffic Sequences
Florian Becker, Heidelberg University; Frank Lenzen, Heidelberg University; Joerg Kappes, Heidelberg University; Christoph Schnoerr, Heidelberg University
 |
| 3-25 |
Automated Articulated Structure and 3D Shape Recovery from Point Correspondences
Joao Fayad, Queen Mary University of London; Chris Russell; Lourdes Agapito, Queen Mary University of London |
| 3-26 |
Parallelizable Inpainting and Refinement of Diffeomorphisms using Beltrami Holomorphic Flow
Tsz Wai Wong, UCLA; David Gu; Tony F. Chan, HKUST; Lok Ming Lui, The Chinese University of Hong Kong |
| 3-27 |
Markov Random Field-based Fitting of a Subdivision-based Geometric Atlas
Uday Kurkure; Yen Le; Nikos Paragios; Tao Ju; James Carson; Ioannis Kakadiaris |
| 3-28 |
Physically-based Motion Models for 3D Tracking: A Convex Formulation
Mathieu Salzmann, TTI Chicago; Raquel Urtasun |
| 3-29 |
Modeling Temporal Coherence for Optical Flow
Sebastian Volz, Saarland University; Andres Bruhn, Saarland University; Levi Valgaerts, Saarland University; Henning Zimmer |
| 3-30 |
Accurate 3D Body Pose Estimation From a Single Depth Image
Mao Ye, University of Kentucky; Xianwang Wang, Hewlett-Packard Labs; Ruigang Yang, University of Kentucky; Liu Ren; Marc Pollefeys, ETH Zurich |
| 3-31 |
Dynamic Subspace-Based Coordinated Multicamera Tracking
Mustafa Ayazoglu, Northeastern University; Binlong Li, Northeastern University; Caglayan Dicle, Northeastern University; Mario Sznaier, Northeastern University; Octavia Camps
 |
| 3-32 |
A Data-Driven Approach for Real-Time Full Body Pose Reconstruction from a Depth Camera
Andreas Baak, Saarland University; Meinard Mueller, Saarland University and MPI Informatik; Gaurav Bharaj, MPI Informatik; Hans-Peter Seidel; Christian Theobalt
 |
| 3-33 |
Optical Flow Estimation Using Learned Sparse Model
Kui Jia, Chinese Univ. of Hong Kong; Xiaogang Wang, The Chinese University of Hong Kong; Xiaoou Tang, CUHK |
| 3-34 |
Struck: Structured Output Tracking with Kernels
Sam Hare, Oxford Brookes University; Amir Saffari, Oxford Brookes University; Phil Torr |
| 3-35 |
Delta-Dual Hierarchical Dirichlet Processes: A pragmatic abnormal behaviour detector
Tom Haines, Queen Mary, Uni. of London; Tao Xiang, Queen Mary University of London |
| 3-36 |
Modeling Image Similarity by Gaussian Mixture Models and the Signature Quadratic Form Distance
Christian Beecks, RWTH Aachen University; Anca Ivanescu; Steffen Kirchhoff; Thomas Seidl, RWTH Aachen University |
| 3-37 |
Efficient Similarity Search for Covariance Matrices via the Jensen-Bregman LogDet Divergence
Anoop Cherain, University of Minnesota; Suvrit Sra, Max Planck Institute for Biological Cybernetics; Arindam Banerjee, University of Minnesota, Twin Cities; Nikolaos Papanikolopoulos |
| 3-38 |
Scalable Object-Class Retrieval with Approximate and Top-k Ranking
Mohammad Rastegari; Chen Fang; Lorenzo Torresani |
| 3-39 |
Complementary Hashing for Approximate Nearest Neighbor Search
Hao Xu, USTC; Jingdong Wang; Zhu Li; Gang Zeng; Shipeng Li, Microsoft Research Asia; Nenghai Yu |
| 3-40 |
Visual Word Disambiguation by Semantic Contexts
Yu Su, University of Caen, France; Frederic Jurie |
| 3-41 |
Understanding Scenes on Many Levels
Joseph Tighe, UNC at Chapel Hill; Svetlana Lazebnik, University of North Carolina at Chapel Hill |
| 3-42 |
Multiclass Transfer Learning from Unconstrained Priors
Luo Jie, Idiap Research Institute & EPFL; Tatiana Tommasi, Idiap Research Institute; Barbara Caputo |
| 3-43 |
Learning a Category Independent Object Detection Cascade
Esa Rahtu, University of Oulu; Juho Kannala, University of Oulu, Finland; Matthew Blaschko |
| 3-44 |
In Defense of Soft-assignment Coding
Lingqiao Liu, ANU; Lei Wang, The Australian National University; Xinwang Liu, National University of Defense Technology |
| 3-45 |
Assessing the aesthetic quality of photographs using generic image descriptors
Luca Marchesotti; Florent Perronnin; Diane Larlus; Gabriela Csurka, XRCE |
| 3-46 |
Evaluation of Image Features Using a Photorealistic Virtual World
Biliana Kaneva, MIT; Antonio Torralba; Bill Freeman
 |
| 3-47 |
Modeling Spatial Layout with Fisher Vectors for Image Categorization
Josip Krapac, INRIA Grenoble; Jakob Verbeek; Frederic Jurie |
| 3-48 |
Annotator Rationales for Visual Recognition
Jeff Donahue, University of Texas at Austin; Kristen Grauman
 |
| 3-49 |
Fusing visual and range imaging for object class recognition
Aharon Bar-Hillel, GM; Dmitri Hanukaev; Dan Levi, GM |
| 3-50 |
Conditional Random Fields for Multi-Camera Object Detection
Gemma Roig, EPFL; Xavier Boix, EPFL; Horesh Ben Shitrit, EPFL; Pascal Fua |
| 3-51 |
Tight Convex Relaxations for Vector-Valued Labeling Problems
Evgeny Strekalovskiy, TU Munich; Bastian Goldluecke; Daniel Cremers, TU Munich |
| 3-52 |
Generalized Roof Duality for Pseudo-Boolean Optimization
Fredrik Kahl; Petter Strandmark, Lund University |
| 3-53 |
A Graph Cut Algorithm for Higher-order Markov Random Fields
Alexander Fix, Cornell; Aritanan Gruber, Rutgers; Endre Boros; Ramin Zabih, Cornell |
| 3-54 |
Stereo Time-of-Flight
Victor Castaneda, CAMP-TUM; Diana Mateus; Nassir Navab
 |
| 3-55 |
Dense One-shot 3D Reconstruction by Detecting Continuous Regions with Parallel Line Projection
Ryusuke Sagawa, AIST; Hiroshi Kawasaki; Ryo Furukawa, Hiroshima City University; Shota Kiyota, Kagoshima University
 |
| 3-56 |
Shared Shape Spaces
Victor Prisacariu, University of Oxford; Ian Reid
 |
| 3-57 |
Image Segmentation by Figure-Ground Composition into Maximal Cliques
Adrian Ion, PRIP, VUT and IST Austria; João Carreira, INS, Univ. of Bonn; Cristian Sminchisescu |
| 3-58 |
A Convex Framework for Image Segmentation with Moment Constraints
Maria Klodt, TU München; Daniel Cremers, TU Munich |
| 3-59 |
Active Geodesics: Region-based Active Contour Segmentation with a Global Edge-based Constraint
Vikram Appia, Georgia Tech; Anthony Yezzi, Georgia Institute of Technology |
| 3-60 |
Probabilistic Image Segmentation with Closedness Constraints
Bjoern Andres, University of Heidelberg; Joerg Kappes, Heidelberg University; Thorsten Beier, University of Heidelberg; Ullrich Koethe, Univ. Heidelberg; Fred Hamprecht, Univ. of Heidelberg |
| 3-61 |
Face Reconstruction in the Wild
Ira Kemelmacher; Steven Seitz, University of Washington
 |
| 3-62 |
Multiview 3D Warps
Alessio Del Bue, Istituto Italiano di Tecnologia (IIT); Adrien Bartoli, Universite d'Auvergne
 |
| 3-63 |
Optimal Object Matching via Convexification and Composition
Hongsheng Li; Junzhou Huang, Rutgers University; Shaoting Zhang, Rutgers University; Xiaolei Huang |
| 3-64 |
Viewpoint Invariant 3D Landmark Model Inference from Monocular 2D Images Using Higher-Order Priors
Chaohui Wang, Ecole Centrale Paris/INRIA; Yun Zeng; Loic Simon, ECP; Ioannis Kakadiaris, University of Houston; Dimitris Samaras; Nikos Paragios |
| 3-65 |
Isotonic CCA for Sequence Alignment and Activity Recognition
Shahriar Shariat, Rutgers; Vladimir Pavlovic |
| 3-66 |
The Power of Comparative Reasoning
Jay Yagnik, Google Inc; Dennis Strelow, Google Inc; David Ross, Google Inc; Ruei-sung Lin, Google Inc |
| 3-67 |
Adaptive Deconvolutional Networks for Mid and High Level Feature Learning
Matthew Zeiler, New York University; Graham Taylor; Rob Fergus |
| 3-68 |
Multiclass Recognition and Part Localization with Humans in the Loop
Catherine Wah, UCSD; Steven Branson; Pietro Perona; Serge Belongie, UCSD |
| 3-69 |
Unsupervised and Semi-supervised Learning via L1-norm Graph
Feiping Nie, University of Texas at Arlington, Department of Computer Science and Engineering; Hua Wang, Univ. of Texas at Arlington; Heng Huang, University of Texas Arlington; Chris Ding |
| 3-70 |
Building a better probabilistic model of images by factorization
Jack Culpepper, UC Berkeley; Jascha Sohl-Dickstein, UC Berkeley; Bruno Olahausen, UC Berkeley |
| 3-71 |
Dynamic Manifold Warping for View Invariant Action Recognition
Dian Gong, Univ. of Southern California; Gerard Medioni
 |
| 3-72 |
Dynamic Texture Classification Using Dynamic Fractal Analysis
Yong Xu; Yuhui Quan, South China University of Technology; Haibin Ling; Hui Ji, National University of Singapore |
| 3-73 |
Simplification of 3D Morphable Models
Ankur Patel, The University of York; William Smith |
| 3-74 |
Multi-view Repetitive Structure Detection
Nianjuan Jiang; Ping Tan; Loong Fah Cheong |
| 3-75 |
Multi-hypothesis Motion Planning for Visual Object Tracking
Haifeng Gong, University of Pennsylvania; Jack Sim, University of Pennsylvania; Maxim Likhachev, Carnegie Mellon University; Jianbo Shi, University of Pennsylvania" |
Friday 11th November 2011
| Poster Number |
Title / Authors |
| 4-01 |
Home 3D Body Scans from Noisy Image and Range Data
Alex Weiss, Brown University; David Hirshberg, Brown University; Michael Black, Max-Planck Inst. Tuebingen
 |
| 4-02 |
High Quality Depth Map Upsampling for 3D-TOF Cameras
Jaesik Park, KAIST; Hyeongwoo Kim, Korea Advanced Institute of Science and Technology; Yu-Wing Tai, KAIST; Michael Brown; In-So Kweon |
| 4-03 |
Material-Specific User Colour Profiles from Imaging Spectroscopy Data
Lin Gu, Australian National University; Cong Phuoc Huynh, Australian National University; Antonio Robles-Kelly; Jun Zhou, NICTA |
| 4-04 |
Dense Disparity Maps from Sparse Disparity Measurements
Simon Hawe, Lehrstuhl für Datenverarbeitun; Martin Kleinsteuber; Klaus Diepold |
| 4-05 |
Aerial 3D Reconstruction with Line-Constrained Dynamic Programming
Huei-Hung Liao, USC; Yuping Lin; Gerard Medioni
 |
| 4-06 |
Fusing Generic Objectness and Visual Saliency for Salient Object Detection
Kai-Yueh Chang, NTHU and Academia Sinica; Tyng-Luh Liu; Hwann-Tzong Chen; Shang-Hong Lai, NTHU |
| 4-07 |
Cluster-Based Color Space Optimizations
Cheryl Lau, University of British Columbia; Wolfgang Heidrich; Rafal Mantiuk, Bangor University
 |
| 4-08 |
Towards Accurate and Efficient Representation of Image Irradiance of Convex-Lambertian Objects Under Unknown Near Lighting
Shireen Elhabian, University of Louisville; Ham Rara, University of Louisville; Aly Farag, University of Louisville |
| 4-09 |
Color Photometric Stereo for Multicolored Surfaces
Robert Anderson, Cambridge University; Bjorn Stenger, Toshiba Research Europe Ltd; Roberto Cipolla, University of Cambridge |
| 4-10 |
BRISK: Binary Robust Invariant Scalable Keypoints
Stefan Leutenegger, ASL-ETH; Margarita Chli, ASL-ETH; Roland Siegwart, ETH-ASL
 |
| 4-11 |
Salient Object Detection by Composition
Jie Feng, Peking University; Yichen Wei; Litian Tao, Beihang University; Chao Zhang, Peking University; Jian Sun |
| 4-12 |
Action Recognition in Cluttered Dynamic Scenes using Pose-Specific Part Models
Vivek Singh, USC; Ram Nevatia |
| 4-13 |
Human Activity Prediction: Early Recognition of Ongoing Activities from Streaming Videos
Michael Ryoo, ETRI
 |
| 4-14 |
Discriminative Figure-Centric Models for Joint Action Localization and Recognition
Tian Lan, Simon Fraser University; Yang Wang, University of Illinois at Urbana-Champaign; Greg Mori |
| 4-15 |
Understanding Egocentric Activities
Alireza Fathi, Georgia Institute of Tech; Ali Farhadi, UIUC; James Rehg |
| 4-16 |
Unsupervised Metric Learning for Face Identification in TV Video
Ramazan Gokberk Cinbis, INRIA Rhone-Alpes; Jakob Verbeek; Cordelia Schmid, INRIA |
| 4-17 |
Fully Automatic Pose-Invariant Face Recognition via 3D Pose Normalization
Akshay Asthana, Australian National University; Tim Marks; Michael Jones; Kinh Tieu; Rohith MV, University of Delaware |
| 4-18 |
Shape-constrained Gaussian Process Regression for Facial-point-based Head-pose Normalization
Ognjen Rudovic, Imperial College London; Maja Pantic |
| 4-19 |
Discriminative Multi-Manifold Analysis for Face Recognition from a Single Training Sample per Person
Jiwen Lu; Yap-Peng Tan; Gang Wang |
| 4-20 |
Fisher Discrimination Dictionary Learning for Sparse Representation
Meng Yang, The Hong Kong Polytechnic University; Lei Zhang, The Hong Kong Polytechnic University; Xiangchu Feng, Xidian University; David Zhang |
| 4-21 |
Robust Topological Features for Deformation Invariant Image Matching
Edgar Lobaton; Ramanarayan Vasudevan, University of California; Ron Alterovitz; Ruzena Bajcsy, UC Berkeley |
| 4-22 |
Optimizing Polynomial Solvers for Minimal Geometry Problems
Oleg Naroditsky, University of Pennsylvania; Kostas Daniilidis, University of Pennsylvania |
| 4-23 |
3D Reconstruction of a Smooth Articulated Trajectory from a Monocular Image Sequence
Hyun Soo Park, CMU; Yaser Sheikh
 |
| 4-24 |
Multiview Structure from Motion in Trajectory Space
Aamer Zaheer, Lahore Univ of Management Sciences; Ijaz Akhter, Lahore Univ of Management Sciences; Mohammad Haris Baig, LUMS; Shabbir Marzban, LUMS; Sohaib Khan, Lahore Univ of Mngmnt Sciences
 |
| 4-25 |
Exploiting the Manhattan-world Assumption for Extrinsic Self-calibration of Multi-modal Sensor Networks
Marcel Brückner, University Jena; Joachim Denzler, Uni Jena |
| 4-26 |
A geometric solver for calibrated stereo egomotion
Enrique Dunn, UNC; Brian Clipp, ARA; Jan-Michael Frahm |
| 4-27 |
Semi-supervised Learning and Optimization for Hypergraph Matching
Marius Leordeanu; Andrei Zanfir; Cristian Sminchisescu |
| 4-28 |
Efficient Algorithm for Low-rank Matrix Factorization with Missing Components and Performance Comparison of Latest Algorithms
Takayuki Okatani; Takahiro Yoshida; Koichiro Deguchi, Tohoku University |
| 4-29 |
An adaptive coupled-layer visual model for robust visual tracking
Luka ?ehovin, University of Ljubljana; Matej Kristan, University of Ljubljana; Aleš Leonardis, University of Ljubljana
 |
| 4-30 |
Hough-based Tracking of Non-Rigid Objects
Martin Godec, Graz University of Technology; Peter Roth; Horst Bischof, Graz, University of Technology
 |
| 4-31 |
Linear Time Offline Tracking and Lower Envelope Algorithms
Steve Gu, Duke University; Ying Zheng, Duke University; Carlo Tomasi, Duke University |
| 4-33 |
N-best maximal decoders for part models
Dennis Park, UC Irvine; Deva Ramanan |
| 4-34 |
Fast Articulated Motion Tracking using a Sums of Gaussians Body Model
Carsten Stoll, MPI Informatik; Nils Hasler; Juergen Gall, ETH Zurich; Hans-Peter Seidel; Christian Theobalt |
| 4-35 |
Robust Unsupervised Motion Pattern Inference from Video and Applications
Xuemei Zhao, USC; Gerard Medioni
 |
| 4-36 |
Smooth Object Retrieval using a Bag of Boundaries
Relja Arandjelovic, University of Oxford; Andrew Zisserman |
| 4-37 |
Fast Image-Based Localization using Direct 2D-to-3D Matching
Torsten Sattler, RWTH Aachen University; Bastian Leibe; Leif Kobbelt |
| 4-38 |
Large-Scale Image Annotation using Visual Synset
David Tsai, Georgia Tech; Yushi Jing, Google; Yi Liu, Google; Henry Rowley; Sergey Ioffe; James Rehg |
| 4-39 |
Edge Foci Interest Points
C. Lawrence Zitnick; Krishnan Ramnath |
| 4-40 |
Weakly Supervised Object Detector Learning with Model Drift Detection
Parthipan Siva, Queen Mary University of Londo; Tao Xiang, Queen Mary University of London |
| 4-41 |
End-to-End Scene Text Recognition
Kai Wang; Boris Babenko; Serge Belongie, UCSD |
| 4-42 |
Regression from Local Features for Viewpoint and Pose Estimation
Marwan Torki, Rutgers University; Ahmed Elgammal |
| 4-43 |
Recognizing Jumbled Images: The Role of Local and Global Information in Image Classification
Devi Parikh |
| 4-44 |
Robust Object Pose Estimation via Statistical Manifold Modeling
Liang Mei; Jingen Liu; Alfred Hero; Silvio Savarese |
| 4-45 |
Compact Correlation Coding for Visual Object Categorization
Nobuyuki Morioka, University of New South Wales; Shin'ichi Satoh, National Institute of Informatics |
| 4-46 |
Discovering Object Instances from Scenes of Daily Living
Hongwen Kang, CMU; Martial Hebert; Takeo Kanade |
| 4-47 |
Density-aware person detection and tracking in crowds
Mikel Rodriguez, "INRIA, Willow Group"; Ivan Laptev; Josef Sivic, INRIA / Ecole Normale Superieure; Jean-Yves Audibert, INRIA ENS
 |
| 4-48 |
Source Camera Identification Using Auto-White Balance Approximation
Zhonghai Deng, Univ. of Alabama,Tuscaloosa; Arjan Gijsenij, Univ. of Amsterdam; Jingyuan Zhang, Univ. of Alabama, Tuscaloosa |
| 4-49 |
Tabula Rasa: Model Transfer for Object Category Detection
Yusuf Aytar, Oxford university; Andrew Zisserman |
| 4-50 |
Ask the locals: multi-way local pooling for image recognition
Y-Lan Boureau; Nicolas Le Roux; francis bach; Jean Ponce, ENS Paris; Yann LeCun |
| 4-51 |
Superpixels via Pseudo-Boolean Optimization
Yuhang Zhang, The Australian National Uni; Richard Hartley, The Australian National University; John Mashford, CSIRO; Stewart Burn, CSIRO |
| 4-52 |
Who Blocks Who: Simultaneous Clothing Segmentation for Grouping Images
Wang Nan, Tsinghua University; Haizhou Ai, Tsinghua University |
| 4-53 |
Level-Set Person Segmentation and Tracking with Multi-Region Appearance Models and Top-Down Shape Information
Esther Horbert, RWTH Aachen; Konstantinos Rematas, RWTH Aachen; Bastian Leibe |
| 4-54 |
Key-Segments for Video Object Segmentation
Yong Jae Lee, University of Texas at Austin; Jaechul Kim; Kristen Grauman
 |
| 4-55 |
Localized Principal Component Analysis based Curve Evolution: A Divide and Conquer Approach
Vikram Appia, Georgia Tech; Balaji Ganapathy, Georgia Institute of Technology; Tracy Faber, Emory University; Anthony Yezzi, Georgia Institute of Technology |
| 4-57 |
Automated Corpus Callosum Extraction via Laplace-Beltrami Nodal Parcellation and Intrinsic Geodesic Curvature Flows on Surfaces
Rongjie Lai; Yonggang Shi; Nancy Sicotte; Arthur Toga |
| 4-58 |
Segmentation Fusion for Connectomics
Amelio Vazquez-Reina, Harvard University; Michael Gelbart, Harvard University; Daniel Huang, Harvard University; Jeff Lichtman, Harvard University; Eric Miller, Tufts University; Hanspeter Pfister, Harvard University |
| 4-59 |
Single-Shot High Dynamic Range Imaging with Conventional Camera Hardware
Keigo Hirakawa, University of Dayton; Paul Simon, University of Dayton |
| 4-60 |
Imaging via Three-dimensional Compressive Sampling (3DCS)
Xianbiao Shu, University of Illinois ; Narendra Ahuja, University of Illinois |
| 4-61 |
Locally Rigid Globally Non-rigid Surface Registration
Kent Fujiwara, The University of Tokyo; Ko Nishino, Drexel University; Jun Takamatsu; Bo Zheng, The University of Tokyo; Katsushi Ikeuchi, The University of Tokyo |
| 4-62 |
Multiscale, Curvature-Based Shape Representation for Surfaces
Ruirui Jiang, Stony Brook University; David Gu |
| 4-63 |
Robust Consistent Correspondence Between 3D Non-Rigid Shapes Based On "Dual Shape-DNA"
Huai-Yu Wu, Peking University & NLPR, CASIA; Hongbin Zha |
| 4-64 |
Discriminative High Order SVD: Adaptive Tensor Subspace Selection for Image Classification, Clustering, and Retrieval
Dijun Luo, UTA; Heng Huang, University of Texas Arlington; Chris Ding |
| 4-65 |
Dynamic and Hierarchical Multi-Structure Geometric Model Fitting
Hoi Sim Wong, The University of Adelaide; Tat-Jun Chin, The University of Adelaide; Jin Yu, The University of Adelaide; David Suter
 |
| 4-66 |
Linear Dependency Modeling for Feature Fusion
Andy J H Ma, Hong Kong Baptist University; Pong C Yuen, Hong Kong Baptist University |
| 4-67 |
Unsupervised Metric Learning by Self-Smoothing Operator
Jiayan Jiang, UCLA; Bo Wang, University of Toronto; Zhuowen Tu |
| 4-68 |
Slow feature analysis and decorrelation filtering for separating correlated sources
Minh Ha Quang, Italian Institute of Technolog; Laurenz Wiskott, ruhr university bochum
 |
| 4-69 |
Integrating Local Classifiers through Nonlinear Dynamics on Label Graphs with an Application to Image Segmentation
Yutian Chen, UC Irvine; Andrew Gelfand, University of California, Irvine; Charless Fowlkes, UC Irvine; Max Welling, UC Irvine |
| 4-70 |
Means in spaces of tree-like shapes
Aasa Feragen, University of Copenhagen; Søren Hauberg, University of Copenhagen; Mads Nielsen; Francois Lauze, University of Copenhagen |
| 4-71 |
Sorted Random Projections for Robust Texture Classification
Li Liu, NUDT; Paul Fieguth; Gangyao Kuang; Hongbin Zha |
| 4-72 |
Object Recoloring based on Intrinsic Image Estimation
Shida Beigpour, Computer Vision Center, UAB; Joost van de Weijer, Computer Vision Center Barcelona
 |
| 4-73 |
Shading-based Dynamic Shape Refinement from Multi-view Video under General Illumination
Chenglei Wu, Max Planck Institut Informatik; Kiran Varanasi, Max Planck Institut for Informatik; Yebin Liu, Max Planck Institut for Informatik; Hans-Peter Seidel; Christian Theobalt |
| 4-74 |
A Direct Least-Squares (DLS) Method for PnP
Joel Hesch, University of Minnesota; Stergios Roumeliotis, University of Minnesota |
| 4-75 |
Speeded-up, relaxed spatial matching
Giorgos Tolias, National Technical University of Athens; Yannis Avrithis, National Technical Univ Athens |
|