WhatToSee

Index of CVPR 2004 (vol 2)

• "Corefaces"- Robust Shift Invariant PCA based Correlation Filter for Illumination Tolerant Face Recognition
• 2D-Shape Analysis using Conformal Mapping
• 3D Head Tracking Based on Recognition and Interpolation Using a Time-OfFlight Depth Sensor
• 3D Human Pose from Silhouettes by Relevance Vector Regression
• A Cognitive Vision System for Action Recognition in Office Environments C. Bauckhage, M. Hanheide, S. Wrede, and G. Sagerer Bielefeld University, Faculty of Technology P.O. Box 100131, 33501 Bielefeld, Germany {cbauckha, mhanheid, swrede, sagerer}@techfak.uni-bielefeld.de
• A Discriminative Feature Space for Detecting and Recognizing Faces Abdenour Hadid, Matti Pietikainen¨ and Timo Ahonen Machine Vision Group Infotech Oulu and Dept. of Electrical and Information Engineering P.O. Box 4500 FIN-90014 University of Oulu, Finland http://www.ee.oulu.fi/mvg Abstract
• A Discriminative Learning Framework with Pairwise Constraints for Video Object Classification Rong Yan, Jian Zhang, Jie Yang, Alexander Hauptmann School of Computer Science Carnegie Mellon University Pittsburgh, PA, 15213 {yanrong, jianzhan, yang+, alex+}@cs.cmu.edu Abstract
• A Fast Multigrid Implicit Algorithm for the Evolution of Geodesic Active Contours George Papandreou and Petros Maragos School of Electrical and Computer Engineering National Technical University of Athens Zografou 15773, Athens, Greece E-mail: {gpapan,maragos}@cs.ntua.gr
• A GMM Parts Based Face Representation for Improved Verification through Relevance Adaptation Simon Lucey Tsuhan Chen
• A Model for Dynamic Shape and Its Applications Che-Bin Liu and Narendra Ahuja Beckman Institute University of Illinois at Urbana-Champaign Urbana, IL 61801, USA cbliu, ahuja @vision.ai.uiuc.edu
• A Probabilistic Framework for Combining Tracking Algorithms Ido Leichter, Michael Lindenbaum and Ehud Rivlin Department of Computer Science Technion ­ Israel Institute of Technology Technion City, Haifa 32000, Israel {idol|mic|ehudr}@cs.technion.ac.il
• A Rao-Blackwellized Particle Filter for EigenTracking
• A non-parametric approach for Independent Component Analysis using kernel density estimation
• Accurate Face Models from Uncalibrated and Ill-Lit Video Sequences
• Alignment of Continuous Video onto 3D Point Clouds
• An Unsupervised, Online Learning Framework for Moving Object Detection Vinod Nair James J. Clark Centre for Intelligent Machines McGill University, Montreal, QC, Canada H3A 2A7 {vnair, clark}@cim.mcgill.ca
• Approximation of Canonical Sets and Their Applications to 2D View Simplification
• Asymmetrically Boosted HMM for Speech Reading Pei Yin, Irfan Essa, James M. Rehg Georgia Institute of Technology GVU Center / College of Computing Atlanta, GA 30332-0280 USA {pyin, irfan, rehg}@cc.gatech.edu
• Audio-Visual based Emotion Recognition-A New Approach Mingli Song Jiajun Bu Chun Chen Nan Li College of Computer Science Zhejiang University Hangzhou, P.R.China 310027 {brooksong, bjj, chenc, mier}@cs.zju.edu.cn
• Automatic Cascade Training with Perturbation Bias Jie Sun James M. Rehg Aaron Bobick GVU Center / College of Computing Georgia Institute of Technology {sun, rehg, afb}@cc.gatech.edu
• Automatic View Recognition in Echocardiogram Videos using Parts-Based Representation
• Bayesian Face Recognition Using Support Vector Machine and Face Clustering Zhifeng Li and Xiaoou Tang Department of Information Engineering The Chinese University of Hong Kong Shatin, Hong Kong {zli0, xtang}@ie.cuhk.edu.hk
• Bayesian Fusion of Camera Metadata Cues in Semantic Scene Classification
• Biventricular Myocardial Kinematics Based on Tagged MRI from Anatomical NURBS Models N. J. Tustison D. Abendschein A. A. Amini Cardiovascular Image Analysis Laboratory Washington University in St. Louis St. Louis, MO 63110
• BoostMap: A Method for Efficient Approximate Similarity Rankings Vassilis Athitsos, Jonathan Alon, Stan Sclaroff, and George Kollios Computer Science Department Boston University 111 Cummington Street Boston, MA 02215 email: {athitsos, jalon, sclaroff, gkollios}@cs.bu.edu
• Bridging the Gaps between Cameras
• Brightness Perception, Dynamic Range and Noise: a Unifying Model for Adaptive Image Sensors Vladimir Brajovic Carnegie Mellon University brajovic@cs.cmu.edu
• Calibrating an Air-Ground Control System from Motion Correspondences Rahul Rao Camillo J. Taylor Vijay Kumar General Robotics and Active Sensory Perception (GRASP) Laboratory University of Pennsylvania, Levine Hall, Philadelphia, PA 19104-6228 E-mail: {rahulrao, cjtaylor, kumar}@grasp.cis.upenn.edu
• Color Lines: Image Specific Color Representation. Ido Omer and Michael Werman School of computer science and engineering The Hebrew University of Jerusalem Email: {idom,werman}@cs.huji.ac.il
• Computing depth under ambient illumination using multi-shuttered light
• Cue Integration through Discriminative Accumulation M.E. Nilsback, B. Caputo Computational Vision and Active Perception Laboratory (CVAP) Dept. of Numerical Analysis and Computer Science KTH, SE-100 44 Stockholm, Sweden
• Detecting Unusual Activity in Video
• Detecting and Reading Text in Natural Scenes Xiangrong Chen1 Alan L. Yuille1 Departments of Statistics1, Psychology2, University of California, Los Angeles, Los Angeles, CA 90095. emails: {xrchen,yuille}@stat.ucla.edu
• Diffeomorphic matching of distributions: A new approach for unlabelled point-sets and sub-manifolds matching
• Direct Super-Resolution and Registration Using Raw CFA Images
• Distortion Estimation Techniques in Solving Visual CAPTCHAs
• Effect of Colorspace Transformation, the Illuminance Component, and Color Modeling on Skin Detection
• Efficient Graphical Models for Processing Images Marshall F. Tappen Bryan C. Russell William T. Freeman Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Technology Cambridge, MA 02139 {mtappen, brussell, billf}@ai.mit.edu quire 256 states per node in the graphical model. If each variable corresponds to a patch of N pixels, then 256N
• Efficient Model-based Linear Head Motion Recovery from Movies Jian Yao Wai-Kuen Cham Department of Electronic Engineering The Chinese University of Hong Kong, Shatin, N.T., Hong Kong E-mail: {jianyao,wkcham}@ee.cuhk.edu.hk
• Efficient Search of Faces from Complex Line Drawings Jianzhuang Liu and Xiaoou Tang Department of Information Engineering The Chinese University of Hong Kong, Hong Kong, China jzliu@ie.cuhk.edu.hk, xtang@ie.cuhk.edu.hk
• Elastic-String Models for Representation and Analysis of Planar Shapes
• Extraction and Integration of Window in a 3D Building Model from Ground View images Sung Chun Lee and Ram Nevatia Institute for Robotics and Intelligent Systems, University of Southern California Los Angeles, California 90089, USA
• Extraction and Recognition of Periodically Deforming Objects by Continuous, Spatio-temporal Shape Description S. D. Mowbray and M. S. Nixon Electronics and Computer Science, University of Southampton, Southampton, SO17 1BJ, UK
• Eye Typing off the Shelf
• Face Localization via Hierarchical CONDENSATION with Fisher Boosting Feature Selection
• Facial Event Classification with Task Oriented Dynamic Bayesian Network
• Fast, Integrated Person Tracking and Activity Recognition with Plan-View Templates from a Single Stereo Camera
• Feature Selection for Classifying High-Dimensional Numerical Data Yimin Wu and Aidong Zhang Department of Computer Science and Engineering, SUNY at Buffalo, {yiminkwu,azhang}@cse.buffalo.edu
• Feature-Centric Evaluation for Efficient Cascaded Object Detection Henry Schneiderman Robotics Institute Carnegie Mellon University Pittsburgh, PA 15213, USA hws@cs.cmu.edu Abstract
• Flexible Spatial Models for Grouping Local Image Features Gustavo Carneiro and Allan D. Jepson Department of Computer Science University of Toronto ,Toronto, ON, Canada. {carneiro,jepson}@cs.utoronto.ca
• From Facial Expression to Level of Interest: A Spatio-Temporal Approach
• Graphical Models for Graph Matching Tiberio S. Caetano,Terry Caelli and Dante A. C. Barone ´ Department of Computing Science University of Alberta Edmonton, AB, Canada, T6G 2E8 Instituto de Informatica ´ Universidade Federal do Rio Grande do Sul Porto Alegre, RS, Brazil, CP 15064
• Haitao Wang1
• Hidden Semantic Concept Discovery in Region Based Image Retrieval Ruofei Zhang and Zhongfei (Mark) Zhang Department of Computer Science State University of New York at Binghamton Binghamton, NY 13902, U. S. A.
• High-Speed Videography Using a Dense Camera Array
• How Features of the Human Face Affect Recognition: a Statistical Comparison of Three Face Recognition Algorithms
• Improving Object Classification in Far-Field Video Biswajit Bose and Eric Grimson Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Technology Cambridge, MA 02139, USA
• Inference of Multiple Subspaces from High-Dimensional Data and Application to Multibody Grouping
• Inferring 3D Body Pose from Silhouettes using Activity Manifold Learning Ahmed Elgammal and Chan-Su Lee Department of Computer Science, Rutgers University, New Brunswick, NJ, USA {elgammal,chansu}@cs.rutgers.edu
• Integrating Multiple Model Views for Object Recognition Vittorio Ferrari1, Tinne Tuytelaars2, Luc Van Gool1
• Integrating and Employing Multiple Levels of Zoom for Activity Recognition Paul Smith, Mubarak Shah, and Niels da Vitoria Lobo Computer Vision Laboratory School of Computer Science University of Central Florida Orlando, FL 32816 {rsmith,shah,niels}@cs.ucf.edu Abstract
• Invariant Operators, Small Samples, and the Bias­Variance Dilemma X. Shi and R. Manduchi Department of Computer Engineering, University of California, Santa Cruz
• Is bottom-up attention useful for object recognition? Ueli Rutishauser££, Christof Koch, and Pietro Perona , Dirk Walther Computation and Neural Systems, California Institute of Technology, Pasadena, CA 91125, USA urut|walther|koch|perona @caltech.edu
• Jitter Camera: High Resolution Video from a Low Resolution Detector
• Learning Classifiers from Imbalanced Data Based on Biased Minimax Probability Machine Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu Department of Computer Science and Engineering The Chinese University of Hong Kong Shatin, N.T., Hong Kong fkzhuang,hqyang,king,lyug@cse.cuhk.edu.hk
• Learning Distance Functions for Image Retrieval
• Learning Methods for Generic Object Recognition with Invariance to Pose and Lighting
• Learning Object Detection from a Small Number of Examples: the Importance of Good Features. Kobi Levi and Yair Weiss School of Computer Science and Engineering The Hebrew University of Jerusalem 91904 Jerusalem, Israel {kobilevi,yweiss}@cs.huji.ac.il
• Learning a Restricted Bayesian Network for Object Detection Henry Schneiderman Robotics Institute Carnegie Mellon University Pittsburgh, PA 15213, USA hws@cs.cmu.edu
• Learning to Segment Images Using Region-Based Perceptual Features John Kaufhold and Anthony Hoogs Visualization and Computer Vision Laboratory, General Electric Global Research Center kaufhold@research.ge.com, hoogs@research.ge.com Abstract
• Linear Projection Methods in Face Recognition under Unconstrained Illuminations: A Comparative Study Qi Li Jieping Ye Chandra Kambhamettu Video/Image Modeling and Synthesis Lab Computer Information & Science, University of Delaware, Newark, DE, 19716 {qili,chandra}@cis.udel.edu Computer Science & Engineering, University of Minnesota, Minneapolis, MN, 55455 jieping@cs.umn.edu
• Local Facial Asymmetry for Expression Classification
• Local Smoothing for Manifold Learning JinHyeong Park1, Zhenyue Zhang2, Hongyuan Zha1 and Rangachar Kasturi
• Martin H. C. Law
• Minimum Effective Dimension for Mixtures of Subspaces: A Robust GPCA Algorithm and its Applications
• Modelling the Effects of Walking Speed on Appearance-based Gait Recognition Rawesak Tanawongsuwan and Aaron Bobick College of Computing Georgia Institute of Technology
• Models of Large Population Recognition Performance
• Motion Layer Extraction in the Presence of Occlusion using Graph Cut Jiangjian Xiao Mubarak Shah Computer Vision Lab, School of Computer Science University of Central Florida, Orlando, Florida 32816, USA {jxiao, shah}@cs.ucf.edu
• Motion Segmentation with Missing Data using PowerFactorization and GPCA
• Motion-Based Background Subtraction using Adaptive Kernel Density Estimation
• Multigrid and Multi-level Swendsen-Wang Cuts for Hierarchic Graph Partition
• Multiple Bernoulli Relevance Models for Image and Video Annotation
• Multiscale Conditional Random Fields for Image Labeling Xuming He Richard S. Zemel Miguel A. Carreira-Perpinan Department of Computer Science, University of Toronto {hexm,zemel,miguel}@cs.toronto.edu Abstract
• Names and Faces in the News Tamara L. Berg, Alexander C. Berg, Jaety Edwards, Michael Maire, Ryan White, Yee-Whye Teh, Erik Learned-Miller and D.A. Forsyth Computer Science Division U.C. Berkeley Berkeley, CA 94720 daf@cs.berkeley.edu
• Novel region-based modeling for human detection within highly dynamic aquatic environment How-Lung Eng, Junxian Wang, Alvin H. Kam and Wei-Yun Yau Institute for Infocomm Research 21 Heng Mui Keng Terrace, Singapore Email: hleng@i2r.a-star.edu.sg
• Object-Based Image Retrieval Using the Statistical Structure of Images Derek Hoiem, Rahul Sukthankar*, Henry Schneiderman, Larry Huston*
• On the distribution of Saliency
• Orthogonal Complement Component Analysis for Positive Samples in SVM Based Relevance Feedback Image Retrieval
• PCA-SIFT: A More Distinctive Representation for Local Image Descriptors Yan Ke1, Rahul Sukthankar2
• Parts-based 3D object classification
• Point Matching as a Classification Problem for Fast and Robust Object Pose Estimation Vincent Lepetit Julien Pilet Pascal Fua Computer Vision Laboratory Swiss Federal Institute of Technology (EPFL) 1015 Lausanne, Switzerland Email: Vincent.Lepetit, Julien.Pilet, Pascal.Fua @epfl.ch
• Probabilistic Data Association Methods in Visual Tracking of Groups
• Probabilistic Expression Analysis on Manifolds Ya Chang Changbo Hu Matthew Turk
• Probabilistic Identity Characterization for Face Recognition
• Probability Models for High Dynamic Range Imaging
• Propagation Networks for Recognition of Partially Ordered Sequential Action Yifan Shi, Yan Huang, David Minnen, Aaron Bobick, Irfan Essa GVU Center / College of Computing Georgia Institute of Technology Atlanta, GA 30332-0280 USA {monsoon, huangy, dminn, afb, irfan}@cc.gatech.edu
• Proposal Maps driven MCMC for Estimating Human Body Pose in Static Images Mun Wai Lee and Isaac Cohen
• Radiometric Calibration from a Single Image
• Random Sampling Based SVM for Relevance Feedback Image Retrieval Dacheng Tao and Xiaoou Tang Department of Information Engineering The Chinese University of Hong Kong {dctao2, xtang}@ie.cuhk.edu.hk
• Reconstructing Open Surfaces from Unorganized Data Points Jan Erik Solem Anders Heyden School of Technology and Society Malmö University, Sweden {jes,heyden}@ts.mah.se
• Recovering Human Body Configurations: Combining Segmentation and Recognition Greg Mori, Xiaofeng Ren, Alexei A. Efros and Jitendra Malik
• Recovering Shape and Reflectance Model of Non-lambertian Objects from Multiple Views
• Representation and Matching of Articulated Shapes Jiayong Zhang, Robert Collins and Yanxi Liu The Robotics Institute, Carnegie Mellon University, Pittsburgh, PA 15213 {zhangjy,rcollins,yanxi}@cs.cmu.edu Abstract
• Robust Subspace Clustering by Combined Use of kNND Metric and SVD Algorithm Qifa Ke and Takeo Kanade Computer Science Department, Carnegie Mellon University {ke+,tk}@cs.cmu.edu
• Scale-invariant shape features for recognition of object categories Frederic Jurie and Cordelia Schmid ´ ´ GRAVIR, INRIA-CNRS, 655 avenue de l'Europe, Montbonnot 38330, France
• Segmenting, Modeling, and Matching Video Clips Containing Multiple Moving Objects Fred Rothganger1, Svetlana Lazebnik1, Cordelia Schmid2, and Jean Ponce1 University of Illinois at Urbana-Champaign; Urbana, IL 61801, USA INRIA Rhone-Alpes;^ 665, Avenue de l'Europe; 38330 Montbonnot, France
• Self-Normalized Linear Tests
• Shape Representation and Classification Using the Poisson Equation
• Shaping Receptive fields for Affine Invariance£ S. Ravela Earth, Atmospheric and Planetary Sciences Massachusetts Institute of Technology Cambridge, MA, 02139 ravela@mit.edu
• Spatially Coherent Clustering Using Graph Cuts
• Statistical Feature Fusion for Gait-based Human Recognition Ju Han and Bir Bhanu Center for Research in Intelligent Systems University of California, Riverside, California 92521, USA jhan,bhanu @cris.ucr.edu
• Studies on Silhouette Quality and Gait Recognition Zongyi Liu, Laura Malave, and Sudeep Sarkar Computer Science and Engineering University of South Florida; Tampa; FL 33647 zliu4, malave, sarkar @csee.usf.edu
• The Method of Vector Fields for Catadioptric Sensor Design with Applications to Panoramic Imaging R. Andrew Hicks & Ronald K. Perline Department of Mathematics Drexel University Philadelphia, Pennsylvania 19104 {ahicks, ronald.k.perline}@drexel.edu
• Thermal Face Recognition in an Operational Scenario
• Towards Robust Structure-Based Enhancement and Horizon Picking in 3-D Seismic Data S. M. O'Malley and I. A. Kakadiaris Visual Computing Lab Department of Computer Science University of Houston Houston, TX 77204-3010 Abstract
• Tracking Multiple Humans in Crowded Environment
• Uncontrolled Modulation Imaging
• Unsupervised Learning of Image Manifolds by Semidefinite Programming Kilian Q. Weinberger and Lawrence K. Saul Department of Computer and Information Science University of Pennsylvania, Levine Hall 3330 Walnut Street, Philadelphia, PA 19104-6389 {kilianw,lsaul}@cis.upenn.edu
• Value Directed Learning of Gestures and Facial Displays Jesse Hoey and James J. Little Department of Computer Science University of British Columbia Vancouver, BC, CANADA
• Variational Mixture Smoothing for Non-Linear Dynamical Systems Cristian Sminchisescu Allan Jepson University of Toronto, Department of Computer Science Artificial Intelligence Laboratory, 6 King's College Road, Toronto, Canada, M5S 3G4 crismin,jepson @cs.toronto.edu, www.cs.toronto.edu/ ~crismin,~jepson
• View Independent Human Body Pose Estimation from a Single Perspective Image Vasu Parameswaran and Rama Chellappa Center for Automation Research, University of Maryland, College Park, MD 20742 {vasc,rama}@cfar.umd.edu
• What image information is important in silhouette-based gait recognition? G.V. Veres, L. Gordon, J.N. Carter and M.S. Nixon School of Electronics and Computer Science University of Southampton, UK {gvv,lg2,jnc,msn}@ecs.soton.ac.uk