WhatToSee

Index of ICCV 2005 (vol 2)

• A Bilinear Illumination Model for Robust Face Recognition Jinho Lee Baback Moghaddam Hanspeter Pfister Raghu Machiraju Mitsubishi Electric Research Laboratories (MERL) 201 Broadway, Cambridge MA 02139, USA
• A General Framework for Temporal Video Scene Segmentation
• A Generative/Discriminative Learning Algorithm for Image Classification Yi Li, Linda G. Shapiro, and Jeff A. Bilmes Department of Computer Science and Engineering Department of Electrical Engineering University of Washington Seattle, WA 98195-2350 {shapiro@cs,yi@cs,bilmes@ee}.washington.edu
• A Graph Cut Algorithm for Generalized Image Deconvolution
• A Hierarchical Field Framework for Unified Context-Based Classification Sanjiv Kumar and Martial Hebert The Robotics Institute, Carnegie Mellon University Pittsburgh, PA 15213, USA, {skumar, hebert}@ri.cmu.edu
• A Model-based Vehicle Segmentation Method for Tracking Xuefeng Song Ram Nevatia Institute for Robotics and Intelligence System University of Southern California, Los Angeles, CA 90089-0273, USA {xsong|nevatia}@usc.edu Abstract Our goal is to detect and track moving vehicles on a road observed from cameras placed on poles or buildings. Inter-vehicle occlusion is significant under these conditions and traditional blob tracking methods
• A New Framework for Approximate Labeling via Graph Cuts Nikos Komodakis, Georgios Tziritas Computer Science Department, University of Crete E-mails:{komod, tziritas}@csd.uoc.gr
• A Robust Algorithm for Point Set Registration Using Mixture of Gaussians Bing Jian Baba C. Vemuri Department of Computer and Information Science and Engineering University of Florida, Gainesville, FL, 32611 USA
• A Shape-based Segmentation Approach:An Improved Technique using Level Sets Hossam E Abd El Munim and Aly A. Farag CVIP Lab, University of Louisville, Louisville, Ky 40292, USA E-mail: {hossam,farag}@cvip.uofl.edu
• A Spectral Technique for Correspondence Problems Using Pairwise Constraints Marius Leordeanu Martial Hebert
• A Supervised Learning Framework for Generic Object Detection in Images
• A Symmetric Patch-Based Correspondence Model for Occlusion Handling
• A Theory of Inverse Light Transport
• A Theory of Refractive and Specular 3D Shape by Light-Path Triangulation Kiriakos N. Kutulakos Eron Steger
• Actions as Space-Time Shapes Lena Gorelick Eli Shechtman Michal Irani Dept. of Computer Science and Applied Math. Weizmann Institute of Science Rehovot 76100, Israel
• Adaptive Enhancement of Cardiac Magnetic Resonance (CMR) Images Erich T.H. Leung and John K. Tsotsos Department of Computer Science and Engineering and Center for Vision Research (CVR), York University Toronto, Ontario, M3J 1P3, Canada {leung, tsotsos}@cs.yorku.ca
• An Axis-Based Representation for Recognition
• An Iterative Optimization Approach for Unified Image Segmentation and Matting
• Appearance modeling under geometric context Jian Li1, Shaohua Kevin Zhou2, and Rama Chellappa1
• Automatic 3D Face Modeling from Video Le Xin1, Qiang Wang2, Jianhua Tao1, Xiaoou Tang2, Tieniu Tan1, and Harry Shum2
• Background Estimation as a Labeling Problem Scott Cohen Office of Technology, Adobe Systems Inc., San Jose, CA 95110 scohen@adobe.com
• Bayesian Autocalibration for Surveillance Nils Krahnstoever Paulo R. S. Mendonc¸a General Electric Global Research, One Research Circle, Niskayuna, NY 12309 E-Mail: {krahnsto|mendonca}@crd.ge.com
• Bayesian Structural Content Abstraction for Region-Level Image Authentication Wei Feng, Zhi-Qiang Liu Centre for Media Technology, School of Creative Media City University of Hong Kong, Hong Kong, China
• Bottom-up/Top-Down Image Parsing by Attribute Graph Grammar Feng Han and Song-Chun Zhu Departments of Computer Science and Statistics University of California, Los Angeles Los Angeles, CA 90095 hanf@cs.ucla.edu, sczhu@stat.ucla.edu
• Can Two Specular Pixels Calibrate Photometric Stereo?
• Class-Specific Material Categorisation Barbara Caputo, Eric Hayman and P. Mallikarjuna Computational Vision and Active Perception Laboratory School of Computer Science and Communication Royal Institute of Technology (KTH), SE-100 44 Stockholm, Sweden {caputo,hayman}@nada.kth.se
• Common Pattern Discovery using Earth Mover's Distance and Local Flow Maximization Hung-Khoon Tan and Chong-Wah Ngo Department of Computer Science City University of Hong Kong 83 Tat Chee Aveune, Kowloon, Hong Kong {hktan, cwngo}@cs.cityu.edu.hk
• Conditional Models for Contextual Human Motion Recognition
• Consistent Segmentation for Optical Flow Estimation C. Lawrence Zitnick Nebojsa Jojic Sing Bing Kang Microsoft Research Redmond, WA {larryz,jojic,sbkang}@microsoft.com
• Consistent Surface Color for Texturing Large Objects in Outdoor Scenes
• Convex Grouping Combining Boundary and Region Information Joachim S. Stahl and Song Wang Department of Computer Science and Engineering University of South Carolina, Columbia, SC 29208 stahlj@cse.sc.edu, songwang@cse.sc.edu
• Coupled Space Learning of Image Style Transformation
• Deformation Invariant Image Matching Haibin Ling David W. Jacobs Center for Automation Research, Computer Science Department University of Maryland, College Park {hbling, djacobs}@ umiacs.umd.edu
• Designing Spatially Coherent Minimizing Flows for Variational Problems Based on Active Contours Guillaume Charpiat Renaud Keriven Jean-Philippe Pons Olivier Faugeras Odyssee Laboratory ´ ENPC / ENS Paris / INRIA Sophia-Antipolis, France Jean-Philippe.Pons@sophia.inria.fr
• Detecting Rotational Symmetries V. Shiv Naga Prasad and Larry S. Davis Computer Vision Lab, University of Maryland Institute for Advanced Computer Studies (UMIACS), University of Maryland - College Park, College Park, MD 20742, USA.
• Dynamic Measurement Clustering to aid Real Time Tracking Christopher Kemp and Tom Drummond Department of Engineering University of Cambridge Cambridge, CB2 1PZ, UK {ck231|twd20}@eng.cam.ac.uk
• Dynamic Refraction Stereo Nigel J. W. Morris Kiriakos N. Kutulakos University of Toronto
• Edge-based rich representation for vehicle classification Xiaoxu Ma W. Eric L. Grimson Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Technology, Cambridge, MA 02139, USA xiaoxuma@csail.mit.edu welg@csail.mit.edu
• Efficient Learning of Relational Object Class Models Aharon Bar Hillel Tomer Hertz Daphna Weinshall School of Computer Science and Engineering and the Center for Neural Computation Hebrew university of Jerusalem, Israel 91904 { aharonbh, tomboy, daphna}@cs.huji.ac.il
• Efficiently Registering Video into Panoramic Mosaics
• Efficiently Solving Dynamic Markov Random Fields using Graph Cuts
• Eliminating Structure and Intensity Misalignment in Image Stitching Jiaya Jia§ Chi-Keung Tang
• Ensuring Color Consistency across Multiple Cameras Adrian Ilie and Greg Welch University of North Carolina at Chapel Hill, Computer Science Department Sitterson Hall, CB# 3715, Chapel Hill, NC 27599, USA {adyilie,welch}@cs.unc.edu
• Face Recognition By Stepwise Nonparametric Margin Maximum Criterion Xipeng Qiu and Lide Wu Department of Computer Science and Engineering Fudan University, China xpqiu,ldwu@fudan.edu.cn
• Face Recognition in the Presence of Multiple Illumination Sources
• Face Recognition with MRC-Boosting Xun Xu and Thomas S. Huang Beckman Institute University of Illinois at Urbana-Champaign Urbana, IL 61801, USA {xunxu, huang}@ifp.uiuc.edu
• Fast Global Kernel Density Mode Seeking with application to Localisation and Tracking Chunhua Shen, Michael J. Brooks, Anton van den Hengel School of Computer Science, University of Adelaide, SA 5005, Australia {chhshen,mjb,anton}@cs.adelaide.edu.au
• Fast Texture-Based Tracking and Delineation Using Texture Entropy
• Features for Recognition: Viewpoint Invariance for Non-Planar Scenes
• Finding Tree Structures by Grouping Symmetries
• Fitting Globally Stabilized Algebraic Surfaces to Range Data
• Fusing Points and Lines for High Performance Tracking Edward Rosten and Tom Drummond {er258|twd20}@eng.cam.ac.uk Department of Engineering, University of Cambridge Cambridge, CB1 2BZ, UK
• Fusion of Multi-View Silhouette Cues Using a Space Occupancy Grid Jean-Sebastien´ Franco Edmond Boyer GRAVIR - INRIA Rhone-Alpes^ 655, av. de l'Europe, 38330 Montbonnot, France
• Geometric Invariants and Applications under Catadioptric Camera Model
• Geometric and Photometric Restoration of Distorted Documents
• Globally Optimal Estimates for Geometric Reconstruction Problems
• Good continuation of general 2D visual features: Dual harmonic models and computational inference
• Guiding Model Search Using Segmentation Greg Mori School of Computing Science Simon Fraser University Burnaby, BC, Canada V5A 1S6 mori@cs.sfu.ca Abstract
• Identifying Individuals in Video by Combining `Generative' and Discriminative Head Models Mark Everingham and Andrew Zisserman Department of Engineering Science, University of Oxford {me,az}@robots.ox.ac.uk
• Incremental Discovery of Object Parts in Video Sequences Stephane´ Drouin, Patrick Hebert´ and Marc Parizeau Computer Vision and Systems Laboratory, Department of Electrical and Computer Engineering Laval University, Sainte-Foy, QC, Canada, G1K 7P4 {sdrouin, hebert, parizeau}@gel.ulaval.ca
• Integrating Representative and Discriminant Models for Object Category Detection Mario Fritz1, Bastian Leibe1, Barbara Caputo2, Bernt Schiele1
• Integrating the Effects of Motion, Illumination and Structure in Video Sequences
• Integration of Conditionally Dependent Object Features for Robust Figure/Background Segmentation
• Is Levenberg-Marquardt the Most Efficient Optimization Algorithm for
• Joint Haar-like Features for Face Detection Takeshi Mita Toshimitsu Kaneko Osamu Hori Multimedia Laboratory, Corporate Research & Development Center, Toshiba Corporation 1 Komukai Toshiba-cho, Saiwai-ku, Kawasaki-shi, Kanagawa 212-8582, Japan E-mail: takeshi.mita@toshiba.co.jp
• Large Deformation Diffeomorphic Metric Mapping of Fiber Orientations Yan Cao1 Michael I. Miller1 Raimond L. Winslow2 Laurent Younes1
• Layered Active Appearance Models
• Learning Effective Image Metrics from Few Pairwise Examples
• Learning Hierarchical Models of Scenes, Objects, and Parts Erik B. Sudderth, Antonio Torralba, William T. Freeman, and Alan S. Willsky Electrical Engineering & Computer Science, Massachusetts Institute of Technology esuddert@mit.edu, torralba@csail.mit.edu, billf@mit.edu, willsky@mit.edu
• Learning Models for Predicting Recognition Performance Rong Wang, Bir Bhanu Institute Center for Research in Intelligent Systems University of California, Riverside Riverside, California 92521, USA {rwang, bhanu}@vislab.ucr.edu
• Learning Non-Generative Grammatical Models for Document Analysis Michael Shilman, Percy Liang, and Paul Viola Microsoft Research Redmond, WA, 98033
• Learning Non-Negative Sparse Image Codes by Convex Programming Matthias Heiler and Christoph Schnorr University of Mannheim Dept. Mathematics & Computer Science D-68131 Mannheim, Germany {heiler, schnoerr}@uni-mannheim.de
• Learning Object Categories from Google's Image Search R. Fergus1 L. Fei-Fei2 P. Perona2 A. Zisserman1
• Learning and Inference in Parametric Switching Linear Dynamic Systems Sang Min Oh James M. Rehg Tucker Balch Frank Dellaert College of Computing, Georgia Institute of Technology {sangmin, rehg, tucker, dellaert}@cc.gatech.edu
• Learning the Probability of Correspondences Without Ground Truth
• Lighting Normalization with Generic Intrinsic Illumination Subspace for Face Recognition Chia-Ping Chen and Chu-Song Chen Institute of Information Science, Academia Sinica, Taipei, Taiwan {cpchen, song}@iis.sinica.edu.tw
• Local Features for Object Class Recognition Krystian Mikolajczyk, Bastian Leibe, and Bernt Schiele Multimodal Interactive Systems TU Darmstadt, Germany kma,leibe,schiele@mis.tu-darmstadt.de
• Mesh Optimization Using an Inconsistency Detection Template Atsutada Nakatuji, Yasuyuki Sugaya and Kenichi Kanatani
• Modelling Shapes with Uncertainties : Higher Order Polynomials, Variable Bandwidth Kernels and non Parametric Density Estimation.
• More-Than-Topology-PreservingFlowsforActiveContoursandPolygons Ganesh Sundaramoorthi and Anthony Yezzi School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta, GA 30332 {ganeshs, ayezzi}@ece.gatech.edu
• Multi-Modal Tensor Face for Simultaneous Super-Resolution and Recognition Kui Jia and Shaogang Gong Department of Computer Science Queen Mary, University of London, London E1 4NS, UK {chrisjia,sgg}@dcs.qmul.ac.uk
• Multi-view geometry of 1D radial cameras and its application to omnidirectional camera calibration SriRam Thirthala Marc Pollefeys Dept of Computer Science UNC-Chapel Hill {tvn,marc}@cs.unc.edu
• Multiple Light Sources and Reflectance Property Estimation based on a Mixture of Spherical Distributions
• Multiple View Geometry and the -norm ½
• N-Dimensional Probability Density Function Transfer and its Application to Colour Transfer Franc¸ois Pitie´ , Anil C. Kokaram and Rozenn Dahyot University of Dublin, Trinity College Dublin 2, Ireland fpitie@mee.tcd.ie
• Neighborhood Preserving Embedding Deng Cai2 Shuicheng Yan3 Hong-Jiang Zhang4
• Non-Negative Lighting and Specular Object Recognition Sameer Shirdhonkar David W. Jacobs Center for Automation Research University of Maryland, College Park, MD 20742, USA {ssameer,djacobs}@umiacs.umd.edu
• Object Categorization by Learned Universal Visual Dictionary J. Winn, A. Criminisi and T. Minka
• Object Detection in Aerial Imagery Based on Enhanced Semi-Supervised Learning Jian Yao and Zhongfei (Mark) Zhang Computer Science Department State University of New York at Binghamton Binghamton, NY 13902-6000 {jyao,zzhang}@binghamton.edu
• Object Recognition in High Clutter Images Using Line Features Philip David and Daniel DeMenthon Army Research Laboratory, 2800 Powder Mill Road, Adelphi, MD 20783-1197 University of Maryland Institute for Advanced Computer Studies, College Park, MD 20742
• Object Tracking Across Multiple Independently Moving Airborne Cameras Yaser Sheikh Mubarak Shah Computer Vision Laboratory, School of Computer Science, University of Central Florida, Orlando, FL 32826
• Objective Image Fusion Performance Characterisation
• Okapi-Chamfer Matching For Articulate Object Recognition
• On Optimal Light Configurations in Photometric Stereo
• On the Equivalence of Common Approaches to Lighting Insensitive Recognition
• On-Line Density-Based Appearance Modeling for Object Tracking
• Parameter-free Radial Distortion Correction with Centre of Distortion Estimation
• Passive Photometric Stereo from Motion Jongwoo Lim Jeffrey Ho Ming-Hsuan Yang David Kriegman
• Phase Field Models and Higher-Order Active Contours
• Probabilistic Boosting-Tree: Learning Discriminative Models for Classification, Recognition, and Clustering Zhuowen Tu Integrated Data Systems Department Siemens Corporate Research, Princeton, NJ, 08540 Abstract
• Progressive Surface Reconstruction from Images Using a Local Prior Gang Zeng1 Sylvain Paris2 Long Quan1 Franc¸ois Sillion3
• Quasiconvex Optimization for Robust Geometric Reconstruction Qifa Ke and Takeo Kanade, Computer Science Department, Carnegie Mellon University {Qifa.Ke,tk}@cs.cmu.edu
• Randomized RANSAC with Sequential Probability Ratio Test Jiri Matas and Ondrej Chum ´ Center for Machine Perception, Dept. of Cybernetics, CTU Prague, Karlovo nam 13, CZ 121 35
• Reconstructing the Geometry of Flowing Water Ivo Ihrke Bastian Goldluecke Marcus Magnor MPI Informatik, Saarbruecken, Germany {ihrke,bg,magnor}@mpii.de
• Recovering Photometric Properties of Multiple Strongly-Reflective, Partially-Transparent Surfaces from a Single Image
• Retrieval with Knowledge-driven Kernel Design: An Approach to Improving SVM-based CBIR with Relevance Feedback
• Robust PointMatching for Two-DimensionalNonrigid Shapes Yefeng Zheng and David Doermann Language and Media ProcessingLaboratory Institute for Advanced Computer Studies University of Maryland, College Park, MD 20742-3275 {zhengyf, doermann}@cfar.umd.edu
• Scale-Invariant Contour Completion using Conditional Random Fields Xiaofeng Ren, Charless C. Fowlkes, Jitendra Malik Computer Science Division University of California, Berkeley, CA 94720
• Separating Reflections in Human Iris Images for Illumination Estimation
• Shape From Symmetry
• Shape and Appearance Repair for Incomplete Point Surfaces
• Shapelets Correlated with Surface Normals Produce Surfaces Peter Kovesi School of Computer Science & Software Engineering The University of Western Australia Crawley, Western Australia 6009 pk@csse.uwa.edu.au
• Simultaneous facial action tracking and expression recognition using a particle filter
• Spherical Matching for Temporal Correspondence of Non-Rigid Surfaces Jonathan Starck & Adrian Hilton Centre for Vision, Speech and Signal Processing University of Surrey, Guildford, GU2 7XH, UK j.starck,a.hilton@surrey.ac.uk http://www.ee.surrey.ac.uk/CVSSP/VMRG
• Squaring the Circle in Panoramas Lihi Zelnik-Manor1 Gabriele Peters2 Pietro Perona1
• Surface Parameterization using Riemann Surface Structure
• The Pyramid Match Kernel: Discriminative Classification with Sets of Image Features Kristen Grauman and Trevor Darrell Massachusetts Institute of Technology Computer Science and Artificial Intelligence Laboratory Cambridge, MA, USA
• Uncalibrated Perspective Reconstruction of Deformable Structures
• Variational-Based Method to Extract Parametric Shapes from Images
• Video Behaviour Profiling and Abnormality Detection without Manual Labelling Tao Xiang and Shaogang Gong Department of Computer Science Queen Mary, University of London, London E1 4NS, UK {txiang,sgg}@dcs.qmul.ac.uk
• Visual Speech Recognition with Loosely Synchronized Feature Streams Kate Saenko, Karen Livescu, Michael Siracusa, Kevin Wilson, James Glass, and Trevor Darrell Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Technology 32 Vassar Street, Cambridge, MA, 02139, USA saenko,klivescu,siracusa,kwilson,jrg,trevor@csail.mit.edu
• When Does a Camera See Rain?