2009 ICCV

下面是2009ICCV文章的主题标签,文章列表来源于 http://www.cvpapers.com/
Title: Scene parsing; Object segmentation; Image segmentation; Video segmentation; Boundary detection; Contour analysis; Object tracking; Action recognition; Crowd analysis; Human detection; Human parsing; Face recognition; Face parsing; Object recognition; Object detection; Saliency detection; Scene recognition; Text recognition; Image retrieval; 3D modeling; Feature matching; Pose estimation; Stereo matching;Optical flow;Region matching; Image editing; Computational photography; Texture analysis; Data clustering; Space reduction; Machine learning; Deep learning;

【Scene parsing】Decomposing a Scene into Geometric and Semantically Consistent Regions

PDF: http://www.stanford.edu/~sgould/papers/iccv09-sceneDecomposition.pdf

Stephen Gould: http://www.stanford.edu/~sgould

Richard Fulton:

Daphne Koller: http://robotics.stanford.edu/~koller/

【Scene parsing】Convex Optimization for Multi-Class Image Labeling with a Novel Family of Total Variation Based Regularizers

PDF: http://ipa.iwr.uni-heidelberg.de/ipabib/Papers/Lellmann-et-al-09b.pdf

Jan Lellmann:

Florian Becker:

Christoph Schnörr:

【Scene parsing】Multiple View Semantic Segmentation for Street-view Images

PDF: http://web.mit.edu/jxiao/Public/publication/2009/ICCV/paper_high-res.pdf

Jianxiong Xiao: http://vision.princeton.edu/people/xj/

Long Quan: http://visgraph.cs.ust.hk/index.html

【Scene parsing】Robust Graph-Cut Scene Segmentation and Reconstruction for Free-Viewpoint Video of Complex Dynamic Scenes

PDF: http://personal.ee.surrey.ac.uk/Personal/J.Guillemaut/publications/09/GuillemautICCV09.pdf

Jean-Yves Guillemaut: http://personal.ee.surrey.ac.uk/Personal/J.Guillemaut/

Joe Kilner: http://personal.ee.surrey.ac.uk/Personal/J.Kilner/

Adrian Hilton: http://personal.ee.surrey.ac.uk/Personal/A.Hilton/

【Scene parsing】Domain Adaptive Semantic Diffusion for Large Scale Context-Based Video Annotation

PDF: http://www.ee.columbia.edu/dvmm/publications/09/DASD_ICCV09.pdf

Yu-Gang Jiang:

Jun Wang:

Shih-Fu Chang: http://www.ee.columbia.edu/ln/dvmm/

Chong-Wah Ngo:

【Scene parsing】Label Me Video: Building a Video Database with Human Annotations

PDF: http://people.csail.mit.edu/celiu/pdfs/LabelMeVideo.pdf

Jenny Yuen:

Bryan Russell:

Ce Liu: http://people.csail.mit.edu/celiu/

Antonio Torralba: http://web.mit.edu/torralba/www/

【Scene parsing】Video Scene Understanding Using Multi-scale Analysis

PDF: http://server.cs.ucf.edu/~vision/papers/VideoSceneUnderstanding_final.pdf

Yang Yang:

Jingen Liu:

Mubarak Shah: http://crcv.ucf.edu/people/faculty/shah.html

【Scene parsing】Recovering the Spatial Layout of Cluttered Rooms

PDF: http://www.cs.uiuc.edu/homes/dhoiem/publications/iccv2009_hedau_indoor.pdf

Varsha Hedau:

Derek Hoiem: http://www.cs.uiuc.edu/homes/dhoiem

David Forsyth: http://luthuli.cs.uiuc.edu/~daf/

【Scene parsing】The Dimensionality of Scene Appearance

PDF: http://www.cs.washington.edu/homes/rahul/data/ICCV09.pdf

Rahul Garg: http://www.cs.washington.edu/homes/rahul

Hao Du:

Steven M. Seitz:

and Noah Snavely:

【Scene parsing】Context by Region Ancestry

PDF: http://www.eecs.berkeley.edu/~chunhui/index_files/lagm-09.pdf

Joseph J. Lim:

Pablo Arbelaez: http://www.cs.berkeley.edu/~arbelaez/

Chunhui Gu:

Jitendra Malik: http://www.cs.berkeley.edu/~malik/

【Scene parsing】Building Recognition Using Sketch-Based Representations and Spectral Graph Matching

PDF: http://vision.ece.missouri.edu/paper/Chung_Han_He_iccv09.pdf

Yu-Chia Chung:

Tony X. Han:

Zhihai He:

【Scene parsing】Image Annotation Using Multi-label Correlated Green’s Function with Crisp Posterior Multi-label Assignment

Hua Wang:

Heng Huang:

Chris Ding: http://ranger.uta.edu/~chqding/

【Scene parsing】Unsupervised Learning of High-order Structural Semantics from Images

PDF: http://www.vis.uky.edu/~gravity/publications/2009/PatternMining_ICCV09.pdf

Jizhou Gao:

Yin Hu:

Jinze Liu:

Ruigang Yang: http://vis.uky.edu/~ryang/

【Scene parsing】Finding Good Composition in Panoramic Scenes

PDF: http://www.cs.nthu.edu.tw/~htchen/composition_iccv09.pdf

Yuan-Yang Chang:

Hwann-Tzong Chen: http://www.cs.nthu.edu.tw/~htchen/

【Scene parsing】Large-Scale Privacy Protection in Street-Level Imagery

Andrea Frome:

German Cheung:

Ahmad Abdulkader:

Marco Zennaro:

Bo Wu:

Alessandro Bissacco:

Hartwig Adam:

Hartmut Neven:

Luc Vincent:

【Object segmentation】Curvature Regularity for Region-based Image Segmentation and Inpainting: A Linear Programming Relaxation

PDF: http://www-cvpr.iai.uni-bonn.de/pub/pub/schoenemann_et_al_iccv09.pdf

Thomas Schoenemann:

Fredrik Kahl:

Daniel Cremers: http://vision.in.tum.de/

【Object segmentation】An efficient algorithm for Co-segmentation

PDF: http://www.biostat.wisc.edu/~vsingh/co-seg.pdf

Dorit S. Hochbaum:

Vikas Singh: http://www.biostat.wisc.edu/~vsingh

【Object segmentation】Image Segmentation with A Bounding Box Prior

PDF: http://research.microsoft.com/en-us/um/people/victlem/iccv2009.pdf

Victor Lempitsky: http://research.microsoft.com/en-us/um/people/victlem

Pushmeet Kohli: http://research.microsoft.com/en-us/um/people/pkohli

Carsten Rother: http://www.inf.tu-dresden.de/index.php?node_id=3517&ln=de

Toby Sharp:

【Object segmentation】Globally Optimal Segmentation of Multi-region Objects

PDF: http://www.csd.uwo.ca/~adelong3/pub/09-ICCV-multiregion.pdf

Andrew Delong: http://www.csd.uwo.ca/~adelong3

Yuri Boykov: http://www.csd.uwo.ca/~yuri/

【Object segmentation】Active Segmentation with Fixation

PDF: http://www.umiacs.umd.edu/~mishraka/Files/iccv2009_activeSeg.pdf

project: http://www.umiacs.umd.edu/~mishraka/activeSeg.html

Ajay Mishra: http://www.umiacs.umd.edu/~mishraka

Yiannis Aloimonos: http://www.cfar.umd.edu/~yiannis/

Cheong L. Fah:

【Object segmentation】Convex Multi-Region Segmentation on Manifolds

PDF: http://perception.inrialpes.fr/Publications/2009/DFPH09/DFPH-ICCV-09.pdf

Amael Delaunoy:

Ketut Fundana:

Emmanuel Prados:

Anders Heyden:

【Object segmentation】Class Segmentation and Object Localization with Superpixel Neighborhoods

PDF: http://www.vision.cs.ucla.edu/papers/fulkersonVS09.pdf

Brian Fulkerson:

Andrea Vedaldi: http://www.robots.ox.ac.uk/~vedaldi/index.html

Stefano Soatto: http://vision.ucla.edu/projects.html

【Object segmentation】Gradient Domain Layer Separation under Independent Motion

Yunqiang Chen:

Ti-chiun Chang:

Chunxiao Zhou:

Tong Fang:

【Object segmentation】Image Segmentation with A Bounding Box Prior

PDF: http://research.microsoft.com/en-us/um/people/victlem/iccv2009.pdf

Victor Lempitsky: http://research.microsoft.com/en-us/um/people/victlem

Pushmeet Kohli: http://research.microsoft.com/en-us/um/people/pkohli

Carsten Rother: http://www.inf.tu-dresden.de/index.php?node_id=3517&ln=de

Toby Sharp:

【Object segmentation】Associative Hierarchical CRFs for Object Class Image Segmentation

PDF: http://research.microsoft.com/en-us/um/people/pkohli/papers/lrkt_iccv09.pdf

Lubor Ladicky:

Chris Russell:

Pushmeet Kohli: http://research.microsoft.com/en-us/um/people/pkohli

【Object segmentation】Segmentation, Ordering and Tracking using Graphical Models

Chaohui Wang:

Martin de La Gorce:

Nikos Paragios:

【Object segmentation】Joint optimization of segmentation and appearance models

PDF: http://www.cs.ucl.ac.uk/staff/V.Kolmogorov/papers/SegmDD-ICCV09.pdf

Sara Vicente:

Vladimir Kolmogorov: http://www.cs.ucl.ac.uk/staff/V.Kolmogorov/

Carsten Rother: http://www.inf.tu-dresden.de/index.php?node_id=3517&ln=de

【Object segmentation】Level Set Segmentation with Both Shape and Intensity Priors

PDF: http://www.ecse.rpi.edu/~rjradke/papers/chen-radke-iccv09.pdf

Siqi Chen:

Richard J. Radke: http://www.ecse.rpi.edu/~rjradke

【Object segmentation】Non-Euclidean Image-Adaptive Radial Basis Functions for 3D Interactive Segmentation

PDF: http://hal.archives-ouvertes.fr/docs/00/50/88/47/PDF/MoryArdonYezziThiran_ICCV09.pdf

Benoit Mory:

Roberto Ardon:

Anthony J. Yezzi:

Jean-Philippe Thiran:

【Object segmentation】Video Object Segmentation by Tracking Regions

PDF: http://web.engr.oregonstate.edu/~sinisa/research/publications/iccv09_video.pdf

William Brendel:

Sinisa Todorovic: http://web.engr.oregonstate.edu/~sinisa/

【Object segmentation】Label Set Perturbation for MRF based Neuroimaging Segmentation

PDF: http://www.biostat.wisc.edu/~vsingh/vMRF.pdf

Dylan Hower:

Vikas Singh: http://www.biostat.wisc.edu/~vsingh/

Sterling C. Johnson:

【Object segmentation】Robust Image Segmentation Using Learned Priors

Ayman El-Baz:

Georgy Gimel’farb:

【Object segmentation】Learning Based Digital Matting

PDF: http://zheng.vision.googlepages.com/matting_iccv09_Zheng.pdf

Yuanjie Zheng: http://zheng.vision.googlepages.com/

Chandra Kambhamettu:

【Object segmentation】Background Subtraction for Freely Moving Cameras

PDF: http://www.cs.cmu.edu/~yaser/SheikhJavedKanade_ICCV_2009.pdf

Yaser Sheikh: http://www.cs.cmu.edu/~yaser/

Omar Javed:

Takeo Kanade:

【Object segmentation】Realtime Background Subtraction from Dynamic Scenes

PDF: http://www.cheng1.net/papers/CheGon_ICCV09.pdf

Li Cheng:

Minglun Gong:

【Image segmentation】Robust Dynamical Model for Simultaneous Registration and Segmentation in a Variational Framework: A Bayesian Approach

PDF: http://vision.ece.ucsb.edu/publications/pratim_ICCV_2009.pdf

Pratim Ghosh:

Mehmet Emre Sargin:

Bangalore S Manjunath:

【Image segmentation】Power watersheds: a new image segmentation framework extending graph cuts, random walker and optimal spanning forest

PDF: http://cns.bu.edu/~lgrady/couprie2009power.pdf

Camille Couprie:

Leo Grady: http://www.cns.bu.edu/~lgrady/

Laurent Najman:

Hugues Talbot:

【Image segmentation】Scene Shape Priors for Superpixel Segmentation

PDF: http://web4.cs.ucl.ac.uk/research/vis/pvl/publications/SceneShape.pdf

Alastair P. Moore:

Simon J. D. Prince:

Jonathan Warrell:

Umar Mohammed:

Graham Jones:

【Image segmentation】Automatic Ovarian Follicle Quantification from 3D Ultrasound Data Using Global/local Context with Database Guided Segmentation

PDF: http://www.caip.rutgers.edu/~comanici/Papers/FollicleQuantification_ICCV09.pdf

Terrence Chen:

Wei Zhang:

Sara Good:

Kevin S. Zhou:

Dorin Comaniciu: http://coewww.rutgers.edu/riul/FORMER/comanici/

【Image segmentation】Texel-based Texture Segmentation

PDF: http://web.engr.oregonstate.edu/~sinisa/research/publications/iccv09_texture.pdf

Sinisa Todorovic: http://web.engr.oregonstate.edu/~sinisa/

Narendra Ahuja: http://vision.ai.illinois.edu/publications.htm

【Video segmentation】Sparsity Induced Similarity Measure for Label Propagation

PDF: http://www.cs.cmu.edu/~hongc/cheng_iccv2009.pdf

Hong Cheng: http://www.cs.cmu.edu/~hongc/

Zicheng Liu: http://research.microsoft.com/en-us/um/people/zliu/

Jie Yang: http://www.cs.cmu.edu/~yang/

【Video segmentation】Spectral clustering of linear subspaces for motion segmentation

PDF: http://hal.archives-ouvertes.fr/docs/00/39/67/82/PDF/LauerICCV09.pdf

Fabien Lauer: http://fabien.lauer.googlepages.com/fabienl

Christoph Schnörr:

【Video segmentation】LIVEcut: Learning-based Interactive Video Segmentation by Evaluation of Multiple Propagated Cues

Brian L. Price:

Bryan S. Morse:

Scott Cohen:

【Video segmentation】Non-Negative Matrix Factorization of Partial Track Data for Motion Segmentation

PDF: http://www.ecse.rpi.edu/~rjradke/papers/cheriyadat-radkeiccv09.pdf

project: http://www.ecse.rpi.edu/~rjradke/nnmf/

Anil M. Cheriyadat:

Richard J. Radke: http://www.ecse.rpi.edu/~rjradke

【Boundary detection】Boundary Ownership by Lifting to 2.5D

PDF: http://www.cs.technion.ac.il/~idol/ICCV09b.pdf

Ido Leichter: http://www.cs.technion.ac.il/~idol

Michael Lindenbaum:

【Boundary detection】Probabilistic Occlusion Boundary Detection on Spatio-Temporal Lattices

PDF: http://vision.ece.ucsb.edu/~lbertelli/papers/iccv_09.pdf

Mehmet Emre Sargin:

Luca Bertelli:

  1. S. Manjunath:

Kenneth Rose:

【Boundary detection】Beyond Connecting the Dots: A Polynomial-time Algorithm for Segmentation and Boundary Estimation with Imprecise User Input

PDF: http://www-cvpr.iai.uni-bonn.de/pub/pub/windheuser_et_al_iccv09.pdf

Thomas Windheuser:

Thomas Schoenemann:

Daniel Cremers: http://vision.in.tum.de/

【Boundary detection】An Algebraic Model for fast Corner Detection

PDF: http://www.visionlab.uncc.edu/downloads/arwillis/publications/2009_ICCV_AlgebraicCornerDetection.pdf

Andrew Willis:

Yunfeng Sui:

【Boundary detection】Efficient, High-Quality Image Contour Detection

project: http://www.cs.berkeley.edu/~catanzar/Damascene/

Bryan Catanzaro: http://www.cs.berkeley.edu/~catanzar

Bor-Yiing Su:

Narayanan Sundaram:

Yunsup Lee:

Mark Murphy:

Kurt Keutzer:

【Contour analysis】Globally Optimal Affine Epipolar Geometry from Apparent Contours

PDF: http://www.cs.yale.edu/~li-gang/publication/iccv09.pdf

Gang Li: http://www.cs.yale.edu/~li-gang/

Yanghai Tsin:

【Contour analysis】A linear formulation of shape from specular flow

PDF: http://gvi.seas.harvard.edu/sites/all/files/SFSF_ICCV2009.pdf

project: http://gvi.seas.harvard.edu/paper/linear-formulation-shape-specular-flow

Guillermo D. Canas: http://www.cs.harvard.edu/~gdiez/

Yuriy Yair Adato:

Todd Zickler:

Steven Gortler: http://gvi.seas.harvard.edu/

Ohad Ben-Shahar:

【Contour analysis】A Shape-Based Object Class Model for Knowledge Transfer

PDF: http://www.mis.informatik.tu-darmstadt.de/People/stark/1099paper.pdf

Michael Stark: http://www.mis.informatik.tu-darmstadt.de/People/stark

Michael Goesele:

Bernt Schiele: http://www.d2.mpi-inf.mpg.de/schiele/

【Contour analysis】Fast Ray Features for Learning Irregular Shapes

PDF: http://cvlab.epfl.ch/publications/publications/2009/SmithCL09.pdf

Kevin Smith:

Alan Carleton:

Vincent Lepetit: http://cvlabwww.epfl.ch/~lepetit/

【Contour analysis】Kernel Active Contour

Shan Tan:

Ioannis A. Kakadiaris:

【Contour analysis】Efficient Segmentation Using Feature-based Graph Partitioning Active Contours

Filiz Bunyak:

Kannappan Palaniappan:

【Contour analysis】Hierarchical 3D Diffusion Wavelets Shape Priors

Salma Essafi:

Georg Langs:

Nikos Paragios:

【Contour analysis】Simultaneous Photometric Invariance And Shape Recovery

PDF: http://users.rsise.anu.edu.au/~huynh/publications/huynh_robles-kelly_iccv09.pdf

Cong Phuoc Huynh:

Antonio Robles-Kelly:

【Contour analysis】3D Open-Surface Shape Correspondence for Statistical Shape Modeling: Identifying Topologically Consistent Landmarks

PDF: http://www.cse.sc.edu/~songwang/document/iccv09.pdf

Pahal Dalal:

Lili Ju:

Michael Mc Laughlin:

Xiangrong Zhou:

Hiroshi Fujita:

Song Wang:

【Contour analysis】Untangling Fibers by Quotient Appearance Manifold Mapping for Grayscale Shape Classification

PDF: http://www.cse.wustl.edu/~mgeorg/readPapers/byVenue/iccv2009/shinagawa2009_iccv_untanglingFibers.pdf

Yoshihisa Shinagawa:

Yuping Lin:

【Contour analysis】Shape-based Recognition of 3D Point Clouds in Urban Environments

PDF: http://www.cs.princeton.edu/gfx/pubs/Golovinskiy_2009_SRO/paper.pdf

Aleksey Golovinskiy:

Vladimir G. Kim:

Thomas Funkhouser:

【Contour analysis】Shape Guided Contour Grouping with Particle Filters

PDF: http://www.cis.temple.edu/~latecki/Papers/PFgrouping_ICCV09_final.pdf

Cheng En Lu:

Longin Jan Latecki:

Nagesh Adluru:

Xingwei Yang:

Haibin Ling: http://www.dabi.temple.edu/~hbling/

【Contour analysis】Shape Analysis with Multivariate Tensor-based Morphometry and Holomorphic Differentials

Yalin Wang:

Tony F. Chan:

Arthur W. Toga:

Paul M. Thompson:

【Object tracking】Tracking in Unstructured Crowded Scenes

PDF: http://www.cs.ucf.edu/~mikel/Rodriguez_ICCV_2009.pdf

Mikel Rodriguez: http://www.cs.ucf.edu/~mikel/

Saad Ali:

Takeo Kanade:

【Object tracking】Complex Volume and Pose Tracking with Probabilistic Dynamical Model and Visual Hull Constraint

PDF: http://ai-www.naist.jp/people/ukita/MyPapers/ICCV2009.pose.pdf

Norimichi Ukita:

Michiro Hirai:

Masatsugu Kidode:

【Object tracking】Stabilizing Motion Tracking Using Retrieved Motion Priors

PDF: http://www.mpi-inf.mpg.de/~abaak/download/2009_BaakRoMuSe_StabliziedMotionTracking_ICCV.pdf

Andreas Baak: http://www.mpi-inf.mpg.de/~abaak/

Bodo Rosenhahn: http://www.tnt.uni-hannover.de/staff/rosenhahn/

Meinard Mueller: http://www.mpi-inf.mpg.de/~mmueller/

Hans-Peter Seidel: http://www.mpi-inf.mpg.de/~hpseidel/

【Object tracking】Robust Visual Tracking using L1 Minimization

PDF: http://www.ist.temple.edu/~hbling/publication/09-tracking-iccv.pdf

Xue Mei:

Haibin Ling: http://www.ist.temple.edu/~hbling

【Object tracking】A Robust Boosting Tracker with Minimum Error Bound in a Co-Training Framework

PDF: http://nlpr-web.ia.ac.cn/2009papers/gjhy/gh1.pdf

Rong Liu:

Jian Cheng:

Hanqing Lu:

【Object tracking】Using individuality to track individuals: Clustering individual trajectories in crowds using local appearance and frequency trait

Daisuke Sugimura:

Kris M. Kitani:

Takahiro Okabe:

Yoichi Sato:

Akihiro Sugimoto:

【Object tracking】Tracking a Hand Manipulating an Object

PDF: ftp://ftp.vision.ee.ethz.ch/publications/proceedings/eth_biwi_00678.pdf

Henning Hamer:

Konrad Schindler:

Esther Koller-Meier:

Luc Van Gool: http://www.vision.ee.ethz.ch/

【Object tracking】Robust Tracking-by-Detection using a Detector Confidence Particle Filter

PDF: http://www.mmp.rwth-aachen.de/publications/pdf/breitenstein-detectorconfidencefilter-iccv09.pdf

Michael D. Breitenstein:

Fabian Reichlin:

Bastian Leibe: http://www.vision.rwth-aachen.de/

Esther Koller-Meier:

Luc Van Gool: http://www.vision.ee.ethz.ch/

【Object tracking】An Information Theoretic Approach for Tracker Performance Evaluation

Edward K. Kao:

Matthew P. Daggett:

Michael B. Hurley:

【Object tracking】Adaptive Fragments-Based Tracking of Non-Rigid Objects Using Level Sets

Prakash Chockalingam: http://prakashc.googlepages.com/

Nalin Pradeep:

【Object tracking】Tracking a Large Number of Objects from Multiple Views

PDF: http://cs-people.bu.edu/wuzheng/research/publication/ICCV2009.pdf

Zheng Wu:

Nickolay Hristov:

Tyson Hedrick:

Thomas Kunz:

Margrit Betke:

【Object tracking】Detection Driven Adaptive Multi-cue Integration for Multiple Human Tracking

PDF: http://www-cs.ccny.cuny.edu/~zhu/GC-Spring2010/Papers/iccv09_tracking.pdf

Ming Yang:

Fengjun Lv:

Wei Xu:

Yihong Gong:

【Object tracking】SURF Tracking

PDF: http://nlpr-web.ia.ac.cn/2009papers/kz/gh28.pdf

Wei He:

Takayoshi Yamashita:

Hongtao Lu:

Shihong Lao:

【Object tracking】A direct approach for efficiently tracking with 3D Morphable Models

PDF: http://www.dia.fi.upm.es/~pcr/publications/iccv2009.pdf

Enrique Muñoz:

José M. Buenaposada:

Luis Baumela:

【Object tracking】Illumination Aware MCMC Particle Filter for Long-Term Outdoor Multi-Object Simultaneous Tracking and Classification

PDF: http://chateaut.free.fr/publications/2009bardetICCV.pdf

François Bardet:

Thierry Chateau:

Datta Ramadasan:

【Object tracking】Real-time Visual Tracking via Incremental Covariance Tensor Learning

PDF: http://www.nlpr.ia.ac.cn/2009papers/gjhy/gh2.pdf

Yi Wu:

Jian Cheng:

Jinqiao Wang:

Hanqing Lu:

【Object tracking】Efficient Privacy Preserving Video Surveillance

PDF: http://cvit.iiit.ac.in/papers/maneeshiccv09.pdf

Maneesh Upmanyu:

Anoop M. Namboodiri:

Kannan Srinathan:

  1. V. Jawahar:

【Action recognition】Activity Recognition using the velocity histories of tracked keypoints

PDF: http://www.cs.rochester.edu/~rmessing/messingICCV2009CameraReady.pdf

Ross Messing: http://www.cs.rochester.edu/~rmessing/

Chris Pal:

Henry Kautz:

【Action recognition】Modelling Activity Global Temporal Dependencies using Time Delayed Probabilistic Graphical Model

PDF: http://www.dcs.qmul.ac.uk/~sgg/papers/LoyXiangGong_ICCV09.pdf

Chen Change Loy: http://www.eecs.qmul.ac.uk/~ccloy/

Tao Xiang: http://www.dcs.qmul.ac.uk/~txiang/publications.html

Shaogang Gong: http://www.dcs.qmul.ac.uk/~sgg

【Action recognition】Action Detection in Complex Scenes with Spatial and Temporal Ambiguities

PDF: http://www.ifp.illinois.edu/~cao4/papers/yuxiao-MIAction-ICCV09.pdf

Yuxiao Hu:

Liangliang Cao: http://www.ifp.illinois.edu/~cao4/

Fengjun Lv:

Shuicheng Yan: http://www.lv-nus.org/index.html

Yihong Gong:

Thomas S. Huang:

【Action recognition】Recognizing Actions by Shape-Motion Prototype Trees

PDF: http://www.glue.umd.edu/~zhelin/papers/iccv09_actrec_smpt.pdf

Zhe Lin: http://www.glue.umd.edu/~zhelin

Zhuolin Jiang:

Larry S. Davis:

【Action recognition】Local Trinary Patterns for Human Action

PDF: http://www.cs.tau.ac.il/~wolf/papers/motion_web.pdf

Lahav Yeffet:

Lior Wolf:

【Action recognition】Fast Realistic Multi-action Recognition Using Mined Dense Spatio-temporal Features

PDF: http://eprints.pascal-network.org/archive/00006835/01/Gilbert-ICCV-2009.pdf

Andrew Gilbert:

John Illingworth:

Richard Bowden:

【Action recognition】Learning Actions From the Web

PDF: http://cs-people.bu.edu/ncinbis/actionWebICCV2009.pdf

Nazli Ikizler-Cinbis: http://cs-people.bu.edu/ncinbis

Ramazan Gokberk Cinbis:

Stan Sclaroff:

【Action recognition】Incremental Action Recognition Using Feature-tree

PDF: http://server.cs.ucf.edu/~vision/papers/feature-tree for action recogniton.pdf

Kishore Kumar Reddy:

Jingen Liu:

Mubarak Shah: http://crcv.ucf.edu/people/faculty/shah.html

【Action recognition】A Markov Clustering Topic Model for Mining Behaviour in Video

PDF: http://www.dcs.qmul.ac.uk/~sgg/papers/HospedalesGongXiang_ICCV09.pdf

Timothy Hospedales:

Shaogang Gong: http://www.dcs.qmul.ac.uk/~sgg

Tao Xiang:

【Action recognition】Automatic annotation of human actions in video

PDF: http://www.di.ens.fr/~fbach/iccv09_duchenne.pdf

Olivier Duchenne:

Ivan Laptev: http://www.di.ens.fr/~laptev/index.html

Josef Sivic:

Francis Bach: http://www.di.ens.fr/~fbach/

Jean Ponce: http://www.di.ens.fr/willow/

【Action recognition】Spatio-Temporal Relationship Match: Video Structure Comparison for Recognition of Complex Human Activities

PDF: http://cvrc.ece.utexas.edu/mryoo/papers/iccv09_activity_ryoo.pdf

  1. S. Ryoo:
  2. K. Aggarwal:

【Action recognition】Selection and Context for Action Recognition

PDF: http://www.cs.washington.edu/homes/lfb/paper/iccv09b.pdf

Dong Han:

Liefeng Bo:

Cristian Sminchisescu:

【Action recognition】Detection of Human Actions From A Single Example

PDF: http://users.soe.ucsc.edu/~milanfar/publications/conf/ICCV_Final.pdf

project: http://users.soe.ucsc.edu/~milanfar/research/computer-vision.html

Hae Jong Seo: http://users.soe.ucsc.edu/~rokaf/

Peyman Milanfar: http://users.soe.ucsc.edu/~milanfar/publications/

【Action recognition】Incremental Discriminant-Analysis of Canonical Correlations for Action Recognition

Xinxiao Wu:

Wei Liang:

Yunde Jia:

【Action recognition】Actionable Information and the Ecological Approach to Visual Perception

PDF: http://www.vision.cs.ucla.edu/papers/soatto09.pdf

Stefano Soatto: http://www.cs.ucla.edu/~soatto/

【Crowd analysis】Learning With Dynamic Group Sparsity

PDF: http://paul.rutgers.edu/~jzhuang/papers/ICCV09.pdf

Junzhou Huang:

Xiaolei Huang: http://www.cse.lehigh.edu/~huang/

Dimitris Metaxas:

【Crowd analysis】Image Sequence Geolocation with Human Travel Priors

PDF: http://www.dgp.toronto.edu/~kalo/papers/images2gps/images2gps.pdf

project: http://www.dgp.toronto.edu/~kalo/papers/images2gps/

Evangelos Kalogerakis: http://www.dgp.toronto.edu/~kalo/

Olga Vesselova:

James Hays: http://www.cs.cmu.edu/~jhhays/

Alexei Efros: http://www.cs.cmu.edu/~efros/

Aaron Hertzmann: http://www.dgp.toronto.edu/~hertzman/

【Crowd analysis】You’ll never walk alone: modeling social behavior for multi-target tracking

PDF: http://www.cs.ucf.edu/courses/cap6412/fall2009/papers/iccv09stefano.pdf

project: http://www.vision.ee.ethz.ch/~stefpell/lta/

Stefano Pellegrini: http://www.vision.ee.ethz.ch/~stefpell

Andreas Ess:

Konrad Schindler:

Luc van Gool:

【Crowd analysis】Learning Pedestrian Dynamics from the Real World

PDF: http://www.cs.ucf.edu/~pscovann/SFM_ICCV09.pdf

Paul Scovanner: http://www.cs.ucf.edu/~pscovann/

Marshall Tappen:

【Crowd analysis】Bayesian Poisson Regression for Crowd Counting

PDF: http://visal.cs.cityu.edu.hk/pubs/conf/iccv09-bpr.pdf

Antoni B. Chan: http://www.cs.cityu.edu.hk/~abchan/

Nuno Vasconcelos: http://www.svcl.ucsd.edu/

【Crowd analysis】Learning Deformable Action Templates from Crowded Videos

PDF: http://www.stat.ucla.edu/~zyyao/data/Action_template_iccv09.pdf

Benjamin Yao:

Song-Chun Zhu:

【Crowd analysis】Reconstructing 3D motion trajectories for particle swarms by global correspondence selection

PDF: http://sites.google.com/site/danniszou/3Dtrajectory.pdf?attredirects=0

Danping Zou: http://sites.google.com/site/danniszou

Qi Zhao:

Hai Shan Wu:

Yan Qiu Chen:

【Human detection】Human Detection Using Partial Least Squares Analysis

PDF: http://www.umiacs.umd.edu/~schwartz/papers/paperICCV09.pdf

project: http://www.umiacs.umd.edu/~schwartz/research.html

William Robson Schwartz: http://www.umiacs.umd.edu/~schwartz

Aniruddha Kembhavi: http://www.umiacs.umd.edu/~ani

David Harwood:

Larry S. Davis:

【Human detection】An HOG-LBP Human Detector with Partial Occlusion Handling

PDF: http://web.missouri.edu/~hantx/paper/Wang_Han_Yan_iccv09.pdf

code: http://web.missouri.edu/~hantx/demo/humanDetector/MUDetector.tar.gz

Xioayu Wang:

Tony X. Han: http://web.missouri.edu/~hantx/

Shuicheng Yan: http://www.lv-nus.org/index.html

【Human detection】Implicit Color Segmentation Features for Pedestrian Detection

PDF: http://www.comp.leeds.ac.uk/me/Publications/iccv09.pdf

Patrick Ott:

Mark Everingham: http://www.comp.leeds.ac.uk/me/

【Human detection】Correlated Probabilistic Trajectories for Pedestrian Motion Detection

PDF: http://frank.perbet.org/work/cv/probabilisticTrajectories_ICCV09.pdf

Frank Perbet: http://frank.perbet.org/

Atsuto Maki:

Björn Stenger:

【Human parsing】Constructing Implicit 3D Shape Models for Pose Estimation

PDF: http://www.wisdom.weizmann.ac.il/~vision/ism3D_files/Arie_Basri_iccv09.pdf

Mica Arie-Nachimson:

Ronen Basri: http://www.wisdom.weizmann.ac.il/~ronen/

【Human parsing】Efficient Human Pose Estimation via Parsing a Tree Structure Based Human Model

PDF: http://nlpr-web.ia.ac.cn/2009papers/gjhy/gh50.pdf

Xiaoqin Zhang:

Changcheng Li:

Xiaofeng Tong:

Weiming Hu:

Steve Maybank:

Yimin Zhang:

【Human parsing】Human Pose Estimation Using Consistent Max-Covering

PDF: http://cs.bc.edu/~hjiang/iccv09.pdf

Hao Jiang: http://cs.bc.edu/~hjiang/

【Human parsing】Poselets: Body Part Detectors Trained Using 3D Human Pose Annotations

PDF: http://www.eecs.berkeley.edu/Research/Projects/CS/vision/human/poselets_iccv09.pdf

project: http://www.eecs.berkeley.edu/~lbourdev/poselets/

Lubomir Bourdev: http://www.eecs.berkeley.edu/~lbourdev/

Jitendra Malik: http://www.cs.berkeley.edu/~malik/

【Human parsing】Estimating Human Shape and Pose from a Single Image

PDF: http://www.cs.brown.edu/~black/Papers/guanICCV09.pdf

Peng Guan:

Alexander Weiss:

Alexandru O. Bălan:

Michael J. Black:

【Human parsing】Modeling 3D Human Poses from Uncalibrated Monocular Images

PDF: http://faculty.cs.tamu.edu/jchai/papers/iccv-2009.pdf

Xiaolin K. Wei:

Jinxiang Chai: http://faculty.cs.tamu.edu/jchai/

【Human parsing】A Riemannian Analysis of 3D Nose Shapes For Partial Human Biometrics

PDF: http://www.telecom-lille1.eu/people/daoudi/Publis/iccv2009.pdf

Hassen Drira:

Boulbaba Ben Amor:

Anuj Srivastava: http://www.stat.fsu.edu/~anuj/

Mohamed Daoudi:

【Face recognition】Attribute and Simile Classifiers for Face Verification

PDF: http://www.cs.berkeley.edu/~aberg/papers/kbbn09iccv.pdf

Neeraj Kumar: http://homes.cs.washington.edu/~neeraj/

Alexander C. Berg: http://www.cs.berkeley.edu/~aberg/

Peter N. Belhumeur:

Shree K. Nayar: http://graphics.cs.columbia.edu/home/home/

【Face recognition】Is that you? Metric Learning Approaches for Face Identification

PDF: http://lear.inrialpes.fr/pubs/2009/GVS09/GVS09.pdf

project: http://lear.inrialpes.fr/pubs/2009/GVS09/

Matthieu Guillaumin: http://lear.inrialpes.fr/people/guillaumin/

Jakob Verbeek: http://lear.inrialpes.fr/~verbeek/

Cordelia Schmid: http://lear.inrialpes.fr/people/schmid

【Face recognition】Face Recognition With Contiguous Occlusion Using Markov Random Fields

PDF: http://perception.csl.illinois.edu/recognition/Files/face_iccv09.pdf

Zihan Zhou: http://faculty.ist.psu.edu/zzhou/Home.html

Andrew Wagner:

Hossein Mobahi:

John Wright:

Yi Ma: http://yima.csl.illinois.edu/

【Face recognition】On Optimizing Subspaces for Face Recognition

PDF: http://www.yubingbing.com/xiaoming/publication/tu_liu_tu_ICCV2009.pdf

Jilin Tu:

Xiaoming Liu:

Peter Tu:

【Face recognition】A Robust Elastic and Partial Matching Metric for Face Recognition

PDF: http://www.ece.northwestern.edu/~ganghua/publication/ICCV09a.pdf

Gang Hua:

Amir Akbarzadeh:

【Face parsing】Learning Long Term Face Aging Patterns from Partially Dense Aging Databases

PDF: http://www.jdl.ac.cn/doc/2009/iccv09_learning long term face aging patterns from partially dense aging databases.pdf

project: http://www.jdl.ac.cn/user/jlsuo/AgingICCV.htm

Jinli Suo: http://www.jdl.ac.cn/user/jlsuo

Xilin Chen: http://www.jdl.ac.cn/user/xlchen/Index_Chen_EN.htm

Shiguang Shan: http://www.jdl.ac.cn/user/sgshan/index_en.htm

Wen Gao: http://www.jdl.ac.cn/user/xlchen/index_en.htm

【Face parsing】Active Appearance Models with Rotation Invariant Kernels

PDF: http://www.ece.osu.edu/~aleix/ICCV09.pdf

Onur C. Hamsici:

Aleix M. Martinez: http://www.ece.osu.edu/~aleix

【Face parsing】Rank Boost with L1 regularization for Facial Expression Recognition and Intensity Estimation

PDF: http://paul.rutgers.edu/~peyang/pubs/ICCV2009.pdf

Peng Yang:

Qingshan Liu:

Dimitris N. Metaxas:

【Face parsing】Face Alignment through Subspace Constrained Mean-shifts

PDF: http://www.ri.cmu.edu/pub_files/2009/9/CameraReady-6.pdf

Jason M. Saragih:

Simon Lucey:

Jeffrey F. Cohn:

【Face parsing】Which Faces to Tag: Adding Prior Constraints into Active Learning

PDF: http://research.microsoft.com/pubs/81737/cr_final.pdf

Ashish Kapoor: http://research.microsoft.com/en-us/um/people/akapoor/index.html

Gang Hua:

Amir Akbarzadeh:

Simon Baker:

【Face parsing】Unsupervised Face Alignment by Robust Nonrigid Mapping

PDF: http://www.vision.ee.ethz.ch/~zhuji/pdfs/iccv09.pdf

project: http://www.vision.ee.ethz.ch/~zhuji/facealign/index.html

Jianke Zhu: http://www.vision.ee.ethz.ch/~zhuji/

Luc Van Gool: http://www.vision.ee.ethz.ch/

and Steven C.H. Hoi:

【Face parsing】Robust Facial Feature Tracking using Multiscale Biased Linear Predictors

Eng-Jon Ong:

Yuxuan Lan:

Barry Theobald:

Richard Harvey:

Richard Bowden:

【Face parsing】A Novel Approach to Expression Recognition from Non-frontal Face Images

PDF: http://research.microsoft.com/en-us/um/people/zhoulin/publications/2009-iccv-face.pdf

Wenming Zheng:

Hao Tang:

Zhouchen Lin: http://www.cis.pku.edu.cn/faculty/vision/zlin/zlin.htm

Thomas S. Huang:

【Face parsing】A Study on Automatic Age Estimation using a Large Database

PDF: ftp://ftp.cs.wisc.edu/computer-vision/repository/PDF/guo.2009.iccv.pdf

Guodong Guo:

Guowang Mu:

Yun Fu:

Charles Dyer:

Thomas Huang:

【Face parsing】Learning to Predict Where People Look

PDF: http://people.csail.mit.edu/tjudd/wherepeoplelook.html

Tilke Judd: http://people.csail.mit.edu/tjudd/

Krista Ehinger: http://web.mit.edu/~kehinger/www/index.html

Frédo Durand: http://people.csail.mit.edu/fredo

Antonio Torralba: http://web.mit.edu/torralba/www/

【Object recognition】On Feature Combination for Multiclass Object Classification

PDF: http://www.kyb.mpg.de/publications/attachments/PID953627_5937%5b0%5d.pdf

Peter Vincent Gehler: http://www.vision.ee.ethz.ch/members/get_member.cgi?lang=en&id=186

Sebastian Nowozin: http://www.kyb.tuebingen.mpg.de/~nowozin

【Object recognition】Similarity Metrics for Categorization: From Monolithic to Category Specifi

PDF: http://vision.ucsd.edu/sites/default/files/musl_iccv09.pdf

Boris Babenko: http://vision.ucsd.edu/~bbabenko/

Steve Branson: http://vision.ucsd.edu/person/steve-branson

Serge Belongie: http://vision.ucsd.edu/person/serge-belongie

【Object recognition】Group-Sensitive Multiple Kernel Learning For Object Categorization

PDF: http://www.nlpr.ia.ac.cn/2009papers/kz/gh16.pdf

Jingjing Yang:

Yuanning Li:

Yonghong Tian:

Lingyu Duan:

Wen Gao:

【Object recognition】Efficient Discriminative Learning of Parts-based Models

PDF: http://ai.stanford.edu/~pawan/kumar09e.pdf

  1. Pawan Kumar: http://ai.stanford.edu/~pawan

Andrew Zisserman: http://www.robots.ox.ac.uk/~vgg/

Philip H.S. Torr:

【Object recognition】I know what you did last summer: object-level auto-annotation of holiday snaps

PDF: http://www.vision.ee.ethz.ch/~stephaga/iccv09/iccv09_annotatr_review.pdf

Stephan Gammeter: http://www.vision.ee.ethz.ch/~stephaga

Lukas Bossard:

Till Quack:

【Object recognition】Incremental Multiple Kernel Learning for Object Recognition

PDF: http://www.umiacs.umd.edu/~ani/iccv09imkl_cameraReady.pdf

Aniruddha Kembhavi:

Behjat Siddiquie:

Roland Miezianko:

Scott Mc Closkey:

Larry S. Davis:

【Object recognition】Top-Down Color Attention for Object Recognition

PDF: http://cat.uab.cat/Publications/2009/SVV09/Top-Down Color Attention for Object Recognition.pdf

Fahad Shahbaz Khan:

Joost van de Weijer:

Maria Vanrell:

【Object recognition】Heterogeneous Feature Machines for Visual Recognition

PDF: http://www.ifp.illinois.edu/~cao4/papers/cao-HFM-ICCV09.pdf

Liangliang Cao: http://www.ifp.illinois.edu/~cao4/papers/

Jiebo Luo: http://www.cs.rochester.edu/u/jluo/

Feng Liang:

Thomas S. Huang:

【Object recognition】Spectral Error Correcting Output Codes for Efficient Multiclass Recognition

Xiao Zhang:

Lin Liang:

Heung-Yeung Shum:

【Object recognition】Patch-based Within-object Classification

PDF: http://web4.cs.ucl.ac.uk/research/vis/pvl/images/stories/PatchBasedModels/ICCV09JaniaAghajanian.pdf

Jania Aghajanian:

Jonathan Warrell:

Simon J.D. Prince:

Peng Li:

Jennifer L. Rohn:

Buzz Baum:

【Object recognition】A Biased Sampling Strategy for Object Categorization

Lei Yang:

Nanning Zheng:

Jie Yang:

Mei Chen:

Hong Cheng:

【Object recognition】Efficient Multi-label Ranking for Multi-class Learning: Application to Object Recognition

PDF: http://www.cse.msu.edu/~rongjin/publications/iccv_camera.pdf

Serhat S. Bucak:

Pavan Kumar Mallapragada:

Rong Jin:

Anil K. Jain:

【Object recognition】What is the Best Multi-Stage Architecture for Object Recognition?

PDF: http://yann.lecun.com/exdb/publis/pdf/jarrett-iccv-09.pdf

Kevin Jarrett:

Koray Kavukcuoglu: http://www.cs.nyu.edu/~koray/

Marc’Aurelio Ranzato:

Yann Le Cun:

【Object detection】Max-Margin Additive Classifiers for Detection

PDF: http://www.cs.berkeley.edu/~smaji/papers/mcd-free-lunch-iccv-09.pdf

Subhransu Maji: http://www.cs.berkeley.edu/~smaji

Alexander C. Berg: http://www.cs.berkeley.edu/~aberg

【Object detection】Learning a dense multi-view representation for detection, viewpoint classification and synthesis of object categories

PDF: http://cs.stanford.edu/groups/vision/documents/SuSunSavareseFei-Fei_ICCV2009.pdf

Hao Su:

Min Sun:

Li Fei-Fei:

Silvio Savarese: http://cvgl.stanford.edu/silvio/

【Object detection】Discriminative Models for Multi-class Object Layout

PDF: http://www.ics.uci.edu/~dramanan/papers/nms.pdf

Chaitanya Desai:

Deva Ramanan: http://www.ics.uci.edu/~dramanan/

Charless Fowlkes: http://www.ics.uci.edu/~fowlkes/

【Object detection】Multi-Scale Object Detection by Clustering Lines

PDF: http://hci.iwr.uni-heidelberg.de/people/bommer/papers/ommer_cvl_iccv09.pdf

Björn Ommer: http://hci.iwr.uni-heidelberg.de/people/bommer/papers/

Jitendra Malik: http://www.cs.berkeley.edu/~malik/

【Object detection】Active Skeleton for Non-rigid Object Detection

PDF: http://xiang.bai.googlepages.com/ActiveSkeleton.pdf

Xiang Bai: http://xiang.bai.googlepages.com/

Xinggang Wang:

Longin J. Latecki:

Wenyu Liu:

Zhuowen Tu: http://pages.ucsd.edu/~ztu/

【Object detection】Multiple Kernels for Object Detection

PDF: http://www.vlfeat.org/~vedaldi/assets/pubs/vedaldi09multiple.pdf

Andrea Vedaldi: http://www.vlfeat.org/~vedaldi

Varun Gulshan:

Manik Varma:

Andrew Zisserman: http://www.robots.ox.ac.uk/~vgg/

【Object detection】Quantifying Contextual Information for Object Detection

PDF: http://www.dcs.qmul.ac.uk/~sgg/papers/ZhengGongXiang_ICCV09.pdf

Wei-Shi Zheng:

Shaogang Gong: http://www.dcs.qmul.ac.uk/~sgg/

Tao Xiang:

【Object detection】Feature-Centric Efficient Subwindow Search

PDF: http://people.ee.ethz.ch/~lehmanal/iccv09/lehmann09iccv.pdf

code: http://people.ee.ethz.ch/~lehmanal/iccv09

Alain Lehmann: http://people.ee.ethz.ch/~lehmanal/

Bastian Leibe: http://www.vision.rwth-aachen.de/

Luc van Gool:

【Object detection】Detecting Objects in Large Image Collections and Videos by Efficient Subimage Retrieval

PDF: http://christoph.lampert.googlepages.com/lampert-iccv2009.pdf

Christoph H. Lampert: http://www.kyb.tuebingen.mpg.de/~chl

【Object detection】Is a detector only good for detection?

Quan Yuan:

Stan Sclaroff:

【Object detection】Joint Pose Estimator and Feature Learning for Object Detection

PDF: http://cvlab.epfl.ch/~ali/publications/Ali_ICCV09.pdf

Karim Ali: http://cvlab.epfl.ch/~ali/

François Fleuret:

David Hasler:

Pascal Fua: http://cvlabwww.epfl.ch/~fua/

【Object detection】Discriminative Generalized Hough Transform for Object Detection

Ryuzo Okada:

【Object detection】Multiscale Symmetric Part Detection and Grouping

PDF: http://www.cs.toronto.edu/~sven/Papers/iccv2009.pdf

Alex Levinshtein: http://www.cs.toronto.edu/~babalex/index.html

Cristian Sminchisescu:

Sven Dickinson: http://www.cs.toronto.edu/~sven/

【Saliency detection】Joint learning of visual attributes, object classes and visual saliency

PDF: https://netfiles.uiuc.edu/gwang6/www/WangForsyth2009a.pdf

Gang Wang: https://netfiles.uiuc.edu/gwang6/www/

David Forsyth: http://luthuli.cs.uiuc.edu/~daf/

【Saliency detection】Non-Rigid Object Localization and Segmentation Using Eigenspace Representation

PDF: http://www.omararif.com/pdfs/EIG_final.pdf

Omar Arif:

Patricio A. Vela:

【Saliency detection】Saliency Driven Total Variation Segmentation

PDF: http://vh.icg.tugraz.at/publications/Donoser_ICCV_2009.pdf

Michael Donoser: http://www.icg.tugraz.at/Members/donoser

Martin Urschler: http://www.icg.tugraz.at/Members/urschler

Martin Hirzer:

Horst Bischof: http://www.icg.tugraz.at/Members/bischof

【Saliency detection】A Theory of Active Object Localization

PDF: http://www.cse.yorku.ca/~alekos/iccv09.pdf

Alexander Andreopoulos:

John K. Tsotsos:

【Saliency detection】Image Saliency by Isocentric Curvedness and Color

PDF: http://www.science.uva.nl/research/publications/2009/ValentiICCV2009/ICCV_2009.pdf

Roberto Valenti:

Nicu Sebe:

Theo Gevers:

【Saliency detection】A framework for visual saliency detection with applications to image thumbnailing

PDF: http://www.ellemme.org/images/docs/iccv_f_ieee_certif.pdf

Luca Marchesotti:

Claudio Cifarelli:

Gabriela Csurka:

【Scene recognition】Combining efficient object localization and image classification

PDF: http://lear.inrialpes.fr/pubs/2009/HJS09/combine_localiz_cls.pdf

project: http://lear.inrialpes.fr/pubs/2009/HJS09/

Hedi Harzallah: http://lear.inrialpes.fr/people/harzallah/

Frédéric Jurie: http://lear.inrialpes.fr/people/jurie

Cordelia Schmid: http://lear.inrialpes.fr/people/schmid

【Scene recognition】Video Scene Categorization by 3D Hierarchical Histogram Matching

PDF: http://www.eecs.umich.edu/vision/papers/gupta_iccv09.pdf

Paritosh Gupta:

Sai Sankalp Arrabolu:

Mathew Brown:

Silvio Savarese: http://cvgl.stanford.edu/silvio/

【Scene recognition】Hierarchical Gaussianization for Image Classification

Xi Zhou:

Na Cui:

Zhen Li:

Feng Liang:

Thomas S. Huang:

【Image retrieval】Quasi-Periodic Event Analysis for Video Retrieval

PDF: http://www.cc.gatech.edu/~pingwang/Publications/WangAbowdRehg-iccv09.pdf

project: http://www.cc.gatech.edu/cpl/projects/socialgames

Ping Wang: http://www.cc.gatech.edu/~pingwang/

Gregory D. Abowd:

James M. Rehg:

【Image retrieval】Storyboard Sketches for Content Based Video Retrieval

PDF: http://personal.ee.surrey.ac.uk/Personal/J.Collomosse/pubs/Collomosse-ICCV-2009.pdf

John Collomosse: http://personal.ee.surrey.ac.uk/Personal/J.Collomosse/

Graham Mc Neill:

Yu Qian:

【Image retrieval】Active Subspace Learning for Image Retrieval

Xiaofei He:

Deng Cai:

【Image retrieval】A Near Optimal Acceptance-Rejection Algorithm for Exact Cross-Correlation Search

PDF: http://rfanderson.com/ICCV09.pdf

Haim Schweitzer:

Robert F. Anderson:

Rui A. Deng:

【Image retrieval】Efficient Indexing for Large Scale Visual Search

PDF: http://research.microsoft.com/en-us/um/people/leizhang/Paper/ICCV09_Xiao.pdf

Xiao Zhang:

Zhiwei Li:

Lei Zhang:

Wei-Ying Ma:

Heung-Yeung Shum:

【Image retrieval】Landmark Classification in Large-Scale Image Collections

PDF: http://www.cs.cornell.edu/~dph/papers/landmark09iccv.pdf

Yunpeng Li:

David J. Crandall:

Daniel P. Huttenlocher:

【Image retrieval】A Multi-Sample, Multi-Tree Approach to Bag-of-Words Image Representation for Image Retrieval

PDF: http://research.microsoft.com/en-us/um/people/jiansun/papers/MultiSampleTree_ICCV09.pdf

Zhong Wu:

Qifa Ke:

Jian Sun: http://research.microsoft.com/en-us/groups/vc/

Heung-Yeung Shum:

【Image retrieval】Kernelized Locality-Sensitive Hashing for Scalable Image Search

PDF: http://www.cs.utexas.edu/~grauman/papers/iccv2009_klsh.pdf

Brian Kulis:

Kristen Grauman: http://www.cs.utexas.edu/~grauman/

【3D modeling】Building Rome in a Day

PDF: http://grail.cs.washington.edu/rome/rome_paper.pdf

project: http://grail.cs.washington.edu/rome/

Sameer Agarwal:

Noah Snavely:

Ian Simon:

Steven M. Seitz:

Richard Szeliski: http://research.microsoft.com/en-us/um/people/szeliski/

【3D modeling】Reconstructing Building Interiors from Images

PDF: http://www.cs.washington.edu/homes/furukawa/papers/iccv09.pdf

project: http://grail.cs.washington.edu/projects/interior/

Yasutaka Furukawa: http://www.cs.washington.edu/homes/furukawa

Brian Curless: http://www.cs.washington.edu/homes/curless

Steven M. Seitz: http://www.cs.washington.edu/homes/seitz

Richard Szeliski: http://research.microsoft.com/~szeliski

【3D modeling】Modeling Deformable Objects from a Single Depth Camera

PDF: http://www.vis.uky.edu/~liaomiao/publication_files/IEEECertified_4DModel.pdf

Miao Liao: http://www.vis.uky.edu/~liaomiao/

Qing Zhang:

Huamin Wang:

Ruigang Yang: http://vis.uky.edu/~ryang/

Minglun Gong:

【3D modeling】Non-Iterative Approach for Fast and Accurate Vanishing Point Detection

PDF: http://www-etud.iro.umontreal.ca/~tardifj/fichiers/Tardif_ICCV2009.pdf

code: http://www-etud.iro.umontreal.ca/~tardifj/fichiers/VPdetection.tar.gz

Jean-Philippe Tardif: http://www-etud.iro.umontreal.ca/~tardifj/

【3D modeling】Coarse Registration of 3D Surface Triangulations Based on Moment Invariants with Applications to Object Alignment and Identification

Michael Trummer:

Herbert Suesse:

Joachim Denzler:

【3D modeling】Absolute Scale in Structure from Motion from a Single Vehicle Mounted Camera by Exploiting Nonholonomic Constraints

PDF: http://asl.epfl.ch/~scaramuz/research/Davide_Scaramuzza_files/publications/pdf/ICCV09_scaramuzza.pdf

Davide Scaramuzza: http://asl.epfl.ch/~scaramuz

Friedrich Fraundorfer:

Roland Siegwart:

Marc Pollefeys: http://www.inf.ethz.ch/personal/pomarc/

【3D modeling】Superresolution Texture Maps for Multiview Reconstruction

Bastian Goldluecke:

Daniel Cremers: http://vision.in.tum.de/

【3D modeling】Complete Multi-View Reconstruction of Dynamic Scenes from Probabilistic Fusion of Narrow and Wide Baseline Stereo

PDF: http://vision.kuee.kyoto-u.ac.jp/japanese/happyou/pdf/Tung_2009_IC_106.pdf

Tony Tung:

Shohei Nobuhara:

Takashi Matsuyama:

【3D modeling】Dense 3D reconstruction method using a single pattern for fast moving object

PDF: http://www.am.sanken.osaka-u.ac.jp/~sagawa/pdf/iccv09.pdf

Ryusuke Sagawa:

Yuichi Ota:

Yasushi Yagi:

Ryo Furukawa:

Naoki Asada:

Hiroshi Kawasaki:

【3D modeling】High-resolution Shape Reconstruction from Multiple Range Images based on Simultaneous Estimation of Surface and Motion

PDF: http://www.k2.t.u-tokyo.ac.jp/members/watanabe/watanabe_iccv09.pdf

Yoshihiro Watanabe:

Takashi Komuro:

Masatoshi Ishikawa:

【3D modeling】Single View Reconstruction Using Shape Grammars for Urban Environments

PDF: http://www.mas.ecp.fr/vision/Personnel/teboul/files/iccv09_teboul.pdf

Panagiotis Koutsourakis:

Loïc Simon:

Olivier Teboul: http://www.mas.ecp.fr/vision/Personnel/teboul/

Georgios Tziritas:

Nikos Paragios:

【3D modeling】3D reconstruction from image collections with a single known focal length

PDF: http://cmp.felk.cvut.cz/~kukelova/publications/Bujnak-Kukelova-Pajdla-ICCV-2009.pdf

Martin Bujnak:

Zuzana Kukelova: http://cmp.felk.cvut.cz/~kukelova/

Tomas Pajdla:

【3D modeling】Template-Free Monocular Reconstruction of Deformable Surfaces

PDF: http://cvlab.epfl.ch/publications/publications/2009/VarolSTF09a.pdf

project: http://cvlab.epfl.ch/~tola/deformable.html

aydin varol: http://cvlab.epfl.ch/~varol

mathieu salzmann: http://www.icsi.berkeley.edu/~salzmann/

engin tola:

pascal fua: http://cvlab.epfl.ch/~fua

【3D modeling】Seeing 3D Objects in a Single 2D Image

PDF: http://www.cis.jhu.edu/~diroth/Research/FinalVersionWithSupplemental.pdf

Diego Rother: http://www.cis.jhu.edu/~diroth/Research.html

Guillermo Sapiro:

【3D modeling】Diagram Techniques for Multiple View Geometry

PDF: http://perception.inf.um.es/tensor/iccv09-dtmvg.pdf

Alberto Ruiz:

Pedro E. Lopez-de-Teruel:

【3D modeling】Recovering Planar Homographies between 2D Shapes

PDF: http://www.stud.u-szeged.hu/Nemeth.Jozsef/iccv2009_cameraready.pdf

Jozsef Nemeth: http://www.stud.u-szeged.hu/Nemeth.Jozsef/

Csaba Domokos:

Zoltan Kato:

【Feature matching】Looking Around the corner using Transient Imaging

PDF: http://cameraculture.media.mit.edu/files/TransientImagingICCV2009LowResolutionMediaLab.pdf

Ahmed Kirmani:

Tyler Hutchison:

James Davis: http://www.cse.ohio-state.edu/~jwdavis/

Ramesh Raskar:

【Feature matching】Automatic Learning and Extraction of Multi-Local Features

PDF: http://www.csc.kth.se/~osda02/files/danielssonICCV09.pdf

Oscar Danielsson: http://www.csc.kth.se/~osda02/

Stefan Carlsson:

Josephine Sullivan:

【Feature matching】Detecting Interpretable and Accurate Scale-Invariant keypoints

PDF: http://www.ipb.uni-bonn.de/uploads/tx_ikgpublication/foerstner09.detecting.pdf

Wolfgang Förstner:

Timo Dickscheid:

Falko Schindler:

【Feature matching】Packing bag-of-features

PDF: http://lear.inrialpes.fr/pubs/2009/JDS09b/jegou_packingbof.pdf

Hervé Jegou: http://lear.inrialpes.fr/people/jegou

Matthijs Douze: http://lear.inrialpes.fr/people/douze

Cordelia Schmid: http://lear.inrialpes.fr/people/schmid

【Pose estimation】Is Dual Linear Self-Calibration Artificially Ambiguous?

PDF: http://perception.inrialpes.fr/Publications/2009/GBS09/GurdjosBartoliSturm_iccv2009.pdf

Pierre Gurdjos:

Adrien Bartoli:

Peter Sturm:

【Pose estimation】Consensus Set Maximization with Guaranteed Global Optimality for Robust Geometry Estimation

PDF: http://users.cecs.anu.edu.au/~hongdong/iccv09.pdf

Hongdong Li:

【Pose estimation】A Branch-and-Bound Algorithm for Globally Optimal Calibration of a camera-and-rotation-sensor system

PDF: http://hompi.sogang.ac.kr/fxlab/paper/53.pdf

Yongduek Seo:

Young-Ju Choi:

Sang Wook Lee:

【Pose estimation】Simultaneous Camera Pose and Correspondence Estimation in Cornerless Images

PDF: http://www.ece.nus.edu.sg/stfpage/eletp/Papers/iccv09.pdf

Wen Yan Lin:

Guo Dong:

Ping Tan: http://www.ece.nus.edu.sg/stfpage/eletp/Index.htm

Loong Fah Cheong:

Chye Hwang Yan:

【Pose estimation】Jointly Estimating Demographics and Height with a Calibrated Camera

PDF: http://amp.ece.cmu.edu/people/Andy/Andy_files/GallagherICCV09Demographics.pdf

Andrew C. Gallagher: http://amp.ece.cmu.edu/people/Andy/

Andrew C. Blose:

Tsuhan Chen: http://chenlab.ece.cornell.edu/

【Pose estimation】Plane-Based Calibration of Central Catadioptric Cameras

PDF: http://hal.inria.fr/docs/00/58/69/72/PDF/PID940720.pdf

Simone Gasparini:

Peter Sturm:

João P. Barreto:

【Pose estimation】Static Multi-Camera Factorization Using Rigid Motion

PDF: http://www.inf.ethz.ch/personal/rangst/publications/AngICCV09.pdf

Roland Angst:

Marc Pollefeys: http://www.inf.ethz.ch/personal/pomarc/

【Pose estimation】Display-Camera Calibration from Eye Reflections

PDF: http://www.lab.ime.cmc.osaka-u.ac.jp/paper/datas/2009/09/Nitschke_0305/Nitschke_200909_paper.pdf

Christian Nitschke:

Atsushi Nakazawa:

Haruo Takemura:

【Pose estimation】Body-Relative Navigation Guidance Using Uncalibrated Cameras

PDF: http://people.csail.mit.edu/koch/pub/koch_teller_iccv2009.pdf

Olivier Koch: http://people.csail.mit.edu/koch

Seth Teller:

【Pose estimation】Keyframe-Based Real-Time Camera Tracking

PDF: http://www.cad.zju.edu.cn/home/gfzhang/projects/realtimetracking/realtimetracking.pdf

Zilong Dong:

Guofeng Zhang: http://www.cad.zju.edu.cn/home/gfzhang/

Jiaya Jia: http://www.cse.cuhk.edu.hk/leojia/

Hujun Bao:

【Pose estimation】BLOGS: Balanced Local and Global Search for Non-Degenerate Two View Epipolar Geometry

PDF: http://www.csee.usf.edu/~abrahmac/BLOGS-ICCV-09.pdf

Aveek S. Brahmachari: http://www.csee.usf.edu/~abrahmac/

Sudeep Sarkar:

【Pose estimation】A New Minimal Solution to the Relative Pose of a Calibrated Stereo Camera with Small Field of View Overlap

PDF: http://www.inf.ethz.ch/personal/pomarc/pubs/ClippICCV09.pdf

Brian Clipp:

Christopher Zach:

Jan-Michael Frahm:

Marc Pollefeys: http://www.inf.ethz.ch/personal/pomarc/

【Pose estimation】Improving Accuracy of Geometric Parameter Estimation Using the Projected Score Method

Takayuki Okatani:

Koichiro Deguchi:

【Stereo matching】Semi-Automatic Stereo Extraction From Video

PDF: http://www.cs.tau.ac.il/~wolf/papers/stereoconversion_web.pdf

Moshe Guttman:

Lior Wolf:

Daniel Cohen-Or:

【Stereo matching】Stereo from Flickering Caustics

PDF: http://webee.technion.ac.il/~yoav/publications/Caustereo.pdf

Yohay Swirski:

Yoav Y. Schechner:

Ben Herzberg:

Shahriar Negahdaripour:

【Stereo matching】A Hand-held Photometric Stereo Camera for 3-D Modeling

PDF: http://www.cvl.iis.u-tokyo.ac.jp/~higo/papers/iccv2009handheld.pdf

Tomoaki Higo: http://www.cvl.iis.u-tokyo.ac.jp/~higo/papers/

Yasuyuki Matsushita:

Neel Joshi:

Katsushi Ikeuchi:

【Stereo matching】A New Multiview Spacetime-Consistent Depth Recovery Framework for Free Viewpoint Video Rendering

Cheng Lei:

Xi Da Chen:

Yee Hong Yang:

【Stereo matching】Factorizing Scene Albedo and Depth from a Single Foggy Image

PDF: http://www.cs.drexel.edu/~kon/publication/LKratz_ICCV09_preprint.pdf

Louis Kratz:

Ko Nishino:

【Stereo matching】Moving in Stereo: Efficient Structure and Motion Using Lines

PDF: http://vision.ucsd.edu/~manu/pdf/iccv09_linesfm.pdf

Manmohan Chandraker: http://vision.ucsd.edu/~manu

Jongwoo Lim:

David Kriegman:

【Stereo matching】Simultaneous Color Constancy and Depth Map Estimation for Radiometrically Varying Stereo Images

Yong Seok Heo:

Kyoung Mu Lee: http://cv.snu.ac.kr/kmlee/

Sang Uk Lee:

【Stereo matching】Multiperspective Stereo Matching and Volumetric Reconstruction

PDF: http://www.eecis.udel.edu/~jye/lab_research/09/iccv09.pdf

Yuanyuan Ding:

Jingyi Yu:

Peter Sturm:

【Stereo matching】Structure and Kinematics Triangulation with a Rolling Shutter Stereo Rig

PDF: http://wwwlasmea.univ-bpclermont.fr/Personnel/Francois.Berry/document/iccv09.pdf

Omar Ait-Aider:

François Berry:

【Stereo matching】The Self-Aware Matching Measure for Stereo

PDF: http://www.cs.stevens.edu/~mordohai/public/Mordohai_SelfAwareMatchingMeasure09.pdf

Philippos Mordohai: http://www.cs.stevens.edu/~mordohai/

【Optical flow】Filter Flow

PDF: http://grail.cs.washington.edu/pub/papers/seitz2009ff.pdf

Steven M. Seitz: http://www.cs.washington.edu/homes/seitz

Simon Baker:

【Optical flow】Optical Flow Estimation on Coarse-to-Fine Region-Trees using Discrete Optimization

PDF: http://www.cs.brown.edu/courses/cs296-4/Papers/2010/iccv2009_201.pdf

Cheng Lei:

Yee-Hong Yang:

【Optical flow】Robust Motion Estimation Using Trajectory Space Learning: Applications in Aortic and Mitral Valve Modeling

Razvan Ioan Ionasec:

Yang Wang:

Bogdan Georgescu:

Ingmar Voigt:

Nassir Navab: http://campar.in.tum.de/Main/NassirNavab

Dorin Comaniciu: http://coewww.rutgers.edu/riul/FORMER/comanici/

【Optical flow】Large Displacement Optical Flow Computation without Warping

PDF: http://www-cvpr.iai.uni-bonn.de/pub/pub/steinbruecker_et_al_iccv09.pdf

Frank Steinbrücker:

Thomas Pock:

Daniel Cremers: http://vision.in.tum.de/

【Optical flow】Structure- and Motion-adaptive Regularization for High Accuracy Optic Flow

PDF: http://www-cvpr.iai.uni-bonn.de/pub/pub/wedel_et_al_iccv09.pdf

Andreas Wedel:

Daniel Cremers: http://vision.in.tum.de/

Thomas Pock:

Horst Bischof: http://www.icg.tugraz.at/Members/bischof

【Region matching】Compact Signatures for High-Speed Interest Point Description and Matching

PDF: http://cvlab.epfl.ch/publications/publications/2009/CalonderLKBMF09.pdf

Michael Calonder:

Vincent Lepetit: http://cvlabwww.epfl.ch/~lepetit/

Pascal Fua: http://cvlabwww.epfl.ch/~fua/

Kurt Konolige:

James Bowman:

Patrick Mihelich:

【Region matching】Robust Matching of Building Facades under Large Viewpoint Changes

Jimmy A. Lee:

Kin-Choong Yow:

Alex Y. S. Chia:

【Region matching】Feature Correspondence and Deformable Object Matching via Agglomerative Correspondence Clustering

PDF: http://cv.snu.ac.kr/publication/conf/2009/ACC_iccv2009.pdf

Minsu Cho:

Jungmin Lee:

Kyoung Mu Lee: http://cv.snu.ac.kr/kmlee/

【Region matching】Subspace matching: Unique solutions to point matching with geometric constraints

PDF: http://users.isr.ist.utl.pt/~manuel/pubs/iccv09.pdf

Manuel Marques: http://users.isr.ist.utl.pt/~manuel

Marko Stosic:

Joao Costeira:

【Region matching】Optimal Correspondences from Pairwise Constraints

PDF: http://www.maths.lth.se/vision/publdb/reports/pdf/enqvist-josephson-etal-iccv-09.pdf

Olof Enqvist:

Klas Josephson:

Fredrik Kahl:

【Region matching】Deformation Invariant Image Matching by Spectrally Controlled Diffeomorphic Alignment

Christopher M. Yang:

Sai Ravela:

【Region matching】Wide-Baseline Image Matching Using Line Signatures

PDF: http://graphics.usc.edu/~luwang/pdf/lu_ICCV09.pdf

project: http://graphics.usc.edu/~luwang/line_signature.html

Lu Wang: http://graphics.usc.edu/~luwang/

Ulrich Neumann:

Suya You:

【Region matching】Matching as a Non-Cooperative Game

PDF: http://haydn.dsi.unive.it/albarelli/files/iccv09gamematching.pdf

Andrea Albarelli:

Samuel Rota Bulò:

Andrea Torsello:

Marcello Pelillo:

【Region matching】Simultaneous Alignment and Clustering for an Image Ensemble

PDF: http://www.yubingbing.com/xiaoming/publication/Liu_tong_wheeler_ICCV09.pdf

Xiaoming Liu:

Yan Tong:

Fred W. Wheeler:

【Region matching】An Algebraic Approach to Affine Registration of Point Sets

PDF: http://www.cise.ufl.edu/~anand/pdf/ICCV09Affine.pdf

Jeffrey Ho:

Adrian Peter:

Anand Ranganranjan: http://www.cise.ufl.edu/~anand/

Ming-Hsuan Yang:

【Image editing】Shift-Map Image Editing

PDF: http://www.cs.huji.ac.il/~peleg/papers/iccv09-shiftmap.pdf

project: http://www.vision.huji.ac.il/shiftmap/

Yael Pritch:

Eitam Kav-Venaki: http://www.cs.huji.ac.il/~eitamk/

Shmuel Peleg: http://www.cs.huji.ac.il/~peleg/

【Image editing】Light Field Video Stabilization

PDF: http://pages.cs.wisc.edu/~lizhang/projects/lfstable/SmithICCV09.pdf

project: http://pages.cs.wisc.edu/~lizhang/projects/lfstable/

Brandon M. Smith: http://pages.cs.wisc.edu/~bmsmith

Li Zhang: http://pages.cs.wisc.edu/~lizhang

Hailin Jin: http://www.adobe.com/technology/people/sanjose/jin.html

Aseem Agarwala: http://agarwala.org/

【Image editing】Super-Resolution from a Single Image

PDF: http://www.wisdom.weizmann.ac.il/~vision/single_image_SR/files/single_image_SR.pdf

project: http://www.wisdom.weizmann.ac.il/~vision/SingleImageSR.html

Daniel Glasner: http://www.wisdom.weizmann.ac.il/~glasner/

Shai Bagon: http://www.wisdom.weizmann.ac.il/~bagon

Michal Irani: http://www.wisdom.weizmann.ac.il/~irani

【Image editing】Higher-Order Gradient Descent by Fusion Move Graph Cut

PDF: http://www.nsc.nagoya-cu.ac.jp/~hi/iccv2009.pdf

Hiroshi Ishikawa: http://hwm7.gyao.ne.jp/hihfs/

【Image editing】Sparse Representation of Cast Shadows via L1-Regularized Least Squares

PDF: http://www.ist.temple.edu/~hbling/publication/09-lighting-iccv.pdf

Xue Mei:

Haibin Ling: http://www.ist.temple.edu/~hbling

David W. Jacobs:

【Image editing】Optimal Multiple Surfaces Searching for Video/Image Resizing – A Graph-Theoretic Approach

PDF: http://sites.google.com/site/handongfeng/files/HanICCV2009.pdf

Dongfeng Han:

Xiaodong Wu:

Milan Sonka:

【Image editing】Video stabilization using robust feature trajectories

PDF: http://www.csie.ntu.edu.tw/~cyy/publications/papers/Lee2009VSR.pdf

Ken-Yi Lee: http://www.cmlab.csie.ntu.edu.tw/~kez

Yung-Yu Chuang: http://www.csie.ntu.edu.tw/~cyy

Bing-Yu Chen:

Ming Ouhyoung:

【Image editing】Detection and Removal of Chromatic Moving Shadows in Surveillance Scenarios

PDF: http://vbn.aau.dk/files/19095436/holte_iccv09.pdf

Ivan Huerta:

Michael Holte:

Thomas Moeslund:

Jordi Gonzàlez:

【Image editing】SCRAMSAC: Improving RANSAC’s Efficiency with a Spatial Consistency Filter

PDF: http://www-i8.informatik.rwth-aachen.de/uploads/media/sattler_2009_iccv.pdf

Torsten Sattler:

Bastian Leibe: http://www.vision.rwth-aachen.de/

Leif Kobbelt:

【Image editing】Fast Visibility Restoration from a Single Color or Gray Level Image

PDF: http://perso.lcpc.fr/tarel.jean-philippe/publis/jpt-iccv09.pdf

project: http://perso.lcpc.fr/tarel.jean-philippe/visibility/index.html

Jean-Philippe Tarel: http://perso.lcpc.fr/tarel.jean-philippe

Nicolas Hautiere:

【Image editing】Scale Invariance and Noise in Natural Images

PDF: http://www.cs.huji.ac.il/~yweiss/zoranweiss09.pdf

Daniel Zoran:

Yair Weiss:

【Image editing】Image Restoration using Online Photo Collections

PDF: http://gvi.seas.harvard.edu/sites/all/files/ImageRestoration_ICCV2009.pdf

project: http://gvi.seas.harvard.edu/paper/image-restoration-using-online-photo-collections

Kevin Dale:

Micah K. Johnson:

Kalyan Sunkavalli:

Wojciech Matusik:

Hanspeter Pfister:

【Image editing】Non-Local Sparse Models for Image Restoration

PDF: http://www.di.ens.fr/willow/pdfs/iccv09a.pdf

Julien Mairal:

Francis Bach:

Jean Ponce: http://www.di.ens.fr/willow/

Guillermo Sapiro:

Andrew Zisserman: http://www.robots.ox.ac.uk/~vgg/

【Image editing】Seeing through water: Image restoration using model-based tracking

PDF: http://www.cs.cmu.edu/~yuandong/projects/water/water.pdf

project: http://www.cs.cmu.edu/~yuandong/research_water.html

Yuandong Tian: http://www.cs.cmu.edu/~yuandong/

Srinivasa G. Narasimhan:

【Image editing】Ground truth dataset and baseline evaluations for intrinsic image algorithms

Roger Grosse:

Micah K. Johnson:

Edward H. Adelson:

William T. Freeman:

【Image editing】Image Compression with Anisotropic Triangulations

Sébastien Bougleux:

Gabriel Peyré:

Laurent D. Cohen:

【Computational photography】A Prism-based System for Multispectral Video Acquisition

PDF: http://www.cs.washington.edu/homes/duhao/papers/multispectra_iccv2009.pdf

Hao Du:

Xin Tong:

Xun Cao:

Stephen Lin:

【Computational photography】Coded Aperture Pairs for Depth From Defocus

PDF: http://www1.cs.columbia.edu/CAVE/publications/pdfs/Zhou_ICCV09.pdf

Changyin Zhou:

Stephen Lin:

Shree Nayar:

【Computational photography】Time-Constrained Photography

PDF: http://www.cs.toronto.edu/~hasinoff/pubs/hasinoff-timeconstrained-2009.pdf

project: http://www.cs.toronto.edu/~hasinoff/timecon/

Samuel W. Hasinoff: http://www.cs.toronto.edu/~hasinoff/

Kiriakos N. Kutulakos:

Frédo Durand:

William T. Freeman:

【Computational photography】A Probabilistic Framework for Partial Intrinsic Symmetries in Geometric Data

PDF: http://www.mpi-inf.mpg.de/~lasowski/download/ICCV09.pdf

Ruxandra Lasowski: http://www.mpi-inf.mpg.de/~lasowski/

Art Tevs: http://www.mpi-inf.mpg.de/~tevs/

Hans-Peter Seidel: http://www.mpi-inf.mpg.de/~hpseidel/

Michael Wand: http://www.mpi-inf.mpg.de/~mwand/

【Texture analysis】Analysis of Orientation and Scale in Smoothly Varying Textures

PDF: http://people.csail.mit.edu/fisher/publications/papers/chang09iccv.pdf

Jason Chang:

John W. Fisher III:

【Illumation analysis】Estimating Natural Illumination from a Single Outdoor Imag

PDF: http://graphics.cs.cmu.edu/projects/outdoorIllumination/lalonde_iccv_09.pdf

project: http://graphics.cs.cmu.edu/projects/outdoorIllumination/

Jean-François Lalonde: http://www.cs.cmu.edu/~jlalonde

Alexei A. Efros: http://www.cs.cmu.edu/~efros

Srinivasa G. Narasimhan: http://www.cs.cmu.edu/~srinivas

【Illumation analysis】Landmark-Based Sparse Color Representations for Color Transfer

PDF: http://www.cs.nthu.edu.tw/~htchen/lbscr_iccv09.pdf

Tzu-Wei Huang:

Hwann-Tzong Chen: http://www.cs.nthu.edu.tw/~htchen/

【Illumation analysis】Shadow cameras: Reciprocal views from illumination masks

PDF: http://www.cs.cmu.edu/~koppal/A728.pdf

project: http://www.cs.cmu.edu/~koppal/shadow_cameras.html

Sanjeev J. Koppal: http://koppaldev.googlepages.com/research

Srinivasa G. Narasimhan:

【Illumation analysis】Attached Shadow Coding: Estimating Surface Normals from Shadows under Unknown Reflectance and Lighting Conditions

PDF: http://www.hci.iis.u-tokyo.ac.jp/~okabe/okabe-ICCV09.pdf

Takahiro Okabe:

Imari Sato:

Yoichi Sato:

【Illumation analysis】Color Constancy using 3D Scene Geometry

PDF: http://www.science.uva.nl/research/publications/2009/LuICCV2009/LuICCV2009.pdf

Rui Lu:

Arjan Gijsenij:

Theo Gevers:

De Xu:

Vladimir Nedović:

Jan-Mark Geusebroek:

【Illumation analysis】Radiometric Compensation Using Stratified Inverses

PDF: http://vision.ai.uiuc.edu/~tankh/view_projection_ICCV09.pdf

Tian-Tsong Ng:

Ramanpreet S. Pahwa:

Kar-Han Tan:

Jiamin Bai:

Tony Q.S. Quek:

【Illumation analysis】Piecewise-consistent Color Mappings of Images Acquired Under Various Conditions

PDF: http://www.faculty.idc.ac.il/toky/Publications/Conference/colorMap.pdf

Sefy Kagarlitsky:

Yael Moses:

Yacov Hel-Or:

【Illumation analysis】Riemannian Bayesian estimation of diffusion tensor images

Kai Krajsek:

Marion I. Menzel:

Hanno Scharr:

【Medical image】Component Analysis Approach to Estimation of Tissue Intensity Distributions of 3D images

PDF: http://www.ntu.edu.sg/home/carridhana/mixture-estimation_iccv09.pdf

Arridhana Ciptadi: http://www3.ntu.edu.sg/home/carridhana/

Cheng Chen:

Vitali Zagorodnov:

【Medical image】Hierarchical Learning for Tubular Structure Parsing in Medical Imaging: A Study on Coronary Arteries Using 3D CT Angiography

PDF: http://www.cs.rpi.edu/~bij2/doc/iccv09-vessel.pdf

Le Lu:

Jinbo Bi:

Shipeng Yu:

Zhigang Peng:

Arun Krishnan:

Xiang Zhou:

【Medical image】Studying Brain Morphology using Teichmüller Space Theory

Yalin Wang:

Wei Dai:

Yi-Yu Chou:

Xianfeng Gu:

Tony F. Chan:

Arthur W. Toga:

Paul M. Thompson:

【Data clustering】Kernel Methods for Weakly Supervised Mean Shift Clustering

PDF: http://www.caip.rutgers.edu/riul/research/papers/pdf/weakly_supervised_ms.pdf

Oncel Tuzel:

Fatih Porikli: http://www.porikli.com/

Peter Meer: http://cronos.rutgers.edu/~meer/

【Data clustering】Constrained Clustering by Spectral Kernel Learning

PDF: http://personal.ie.cuhk.edu.hk/~zgli/papers/ICCV09_CCSKL.pdf

Zhenguo Li: http://personal.ie.cuhk.edu.hk/~zgli/

Jianzhuang Liu:

【Data clustering】FLo SS: Facility Location for Subspace Segmentation

PDF: http://www.psi.toronto.edu/publications/2009/iccv09_final.pdf

Nevena Lazic:

Inmar Givoni:

Brendan Frey:

Parham Aarabi:

【Data clustering】The Normalized Subspace Inclusion: Robust Clustering of Motion Subspaces

PDF: http://users.isr.ist.utl.pt/~nmps/publications/NSI_ICCV2009.pdf

Nuno Pinho da Silva: http://users.isr.ist.utl.pt/~nmps/

João P. Costeira:

【Space reduction】Dimensionality Reduction and Principal Surfaces via Kernel Map Manifolds

PDF: http://www.cs.utah.edu/~sgerber/research/kmm_iccv09.pdf

Samuel Gerber: http://www.cs.utah.edu/~sgerber

Tolga Tasdizen: http://www.sci.utah.edu/~tolga/

Ross Whitaker:

【Machine learning】Finding Shareable Informative Patterns and Optimal Coding Matrix for Multiclass Boosting

Bang Zhang:

Getian Ye:

Yang Wang:

Jie Xu:

Gunawan Herman:

【Machine learning】Local Distance Functions: A Framework, New Algorithms, and an Evaluation

PDF: http://www.ics.uci.edu/~dramanan/papers/localdist.pdf

Deva Ramanan: http://www.ics.uci.edu/~dramanan

Simon Baker:

【Machine learning】Tag Prop: Discriminative metric learning in nearest neighbor models for image auto-annotation PDF, project) – formely: Discriminative Metric Learning in Nearest Neighbor Models for Image Auto-Annotation

Matthieu Guillaumin: http://lear.inrialpes.fr/people/guillaumin/

Thomas Mensink: http://lear.inrialpes.fr/people/mensink/

Jakob Verbeek: http://lear.inrialpes.fr/~verbeek/

Cordelia Schmid: http://lear.inrialpes.fr/people/schmid

【Machine learning】Resilient Subclass Discriminant Analysis

Dijia Wu:

Kim L. Boyer:

【Machine learning】Extending Continuous Cuts: Anisotropic Metrics and Expansion Moves

PDF: http://www.maths.lth.se/vision/publdb/reports/pdf/olsson-byrod-etal-iccv-09.pdf

Carl Olsson:

Martin Byröd:

Niels Chr. Overgaard:

Fredrik Kahl:

【Machine learning】Robust Fitting of Multiple Structures: The Statistical Learning Approach

PDF: http://www.cs.jhu.edu/~hwang/papers/ICCV_2009.pdf

Tat-Jun Chin:

Hanzi Wang:

David Suter:

【Machine learning】Learning Image Similarity from Flickr using Stochastic Intersection Kernel Machines

PDF: https://netfiles.uiuc.edu/gwang6/www/WangHoiemForsyth2009b.pdf

project: https://netfiles.uiuc.edu/gwang6/www/sikma.htm

Gang Wang: https://netfiles.uiuc.edu/gwang6/www

Derek Hoiem: http://www.cs.illinois.edu/~dhoiem/

David Forsyth: http://luthuli.cs.uiuc.edu/~daf/

【Machine learning】Simultaneous and Orthogonal Decomposition of Data using Multimodal Discriminant Analysis

Terence Sim: https://www.comp.nus.edu.sg/~tsim/

Sheng Zhang:

Jianran Li:

Yan Chen:

【Machine learning】Fast and Robust Earth Mover’s Distances

PDF: http://www.cs.huji.ac.il/~ofirpele/publications/ICCV2009.pdf

code: http://www.cs.huji.ac.il/~ofirpele/FastEMD/code/

Ofir Pele: http://www.cs.huji.ac.il/~ofirpele

Michael Werman: http://www.cs.huji.ac.il/~werman/

【Machine learning】Directional Statistics BRDF Model

PDF: http://www.cs.drexel.edu/~kon/publication/KNishino_ICCV09_preprint.pdf

Ko Nishino: http://www.cs.drexel.edu/~kon

【Machine learning】Semi-Supervised Random Forests

PDF: http://www.icg.tugraz.at/pub/pdf/srf.pdf

Christian Leistner:

Amir Saffari:

Jakob Santner:

Horst Bischof: http://www.icg.tugraz.at/Members/bischof

【Machine learning】Graph cuts using a Riemannian Metric induced by Tensor Voting

Hyung Il Koo:

Nam Ik Cho:

【Machine learning】Robust Multilinear Principal Component Analysis

Kohei Inoue:

Kenji Hara:

Kiichi Urahama:

【Machine learning】Efficient Discriminative Learning of Parts-based Models

PDF: http://ai.stanford.edu/~pawan/kumar09e.pdf

  1. Pawan Kumar: http://ai.stanford.edu/~pawan

Andrew Zisserman: http://www.robots.ox.ac.uk/~vgg/

Philip H.S. Torr:

【Machine learning】Beyond the Euclidean distance: Creating effective visual codebooks using the histogram intersection kernel

PDF: http://www.cc.gatech.edu/~wujx/paper/iccv_2009.pdf

project: http://www.cc.gatech.edu/~wujx/projects/libHIK/libHIK.htm

code: http://www.cc.gatech.edu/~wujx/projects/libHIK/libHIK-1.0.zip

Jianxin Wu: http://www.cc.gatech.edu/~wujx/publication.htm

James M. Rehg:

【Machine learning】The Infinite Hidden Markov Random Field Model

PDF: http://web.mac.com/gavriil/Gavriil_Tsechpenakis/MVISIIS/pubs/Chatzis_Tsechpenakis_ICCV09.pdf

Sotirios P. Chatzis:

Gabriel Tsechpenakis:

【Machine learning】The One-Shot Similarity Kernel

Lior Wolf: http://www.cs.tau.ac.il/~wolf/

Tal Hassner: http://www.openu.ac.il/home/hassner/

Yaniv Taigman:

【Machine learning】A Latent Model of Discriminative Aspect

PDF: http://www.cs.uiuc.edu/homes/iendres2/publications/iccv2009_aspect.pdf

Ali Farhadi: http://homes.cs.washington.edu/~ali/index.html

Mostafa Kamali Tabrizi:

Ian Endres: http://www.cs.uiuc.edu/homes/iendres2/

David Forsyth: http://luthuli.cs.uiuc.edu/~daf/

【Machine learning】Unlabeled data improves word prediction

PDF: http://www.cs.uiuc.edu/homes/iendres2/publications/iccv2009_manifold.pdf

Nicolas Loeff:

Ali Farhadi: http://homes.cs.washington.edu/~ali/index.html

Ian Endres:

David A. Forsyth:

【Machine learning】Bayesian selection of scaling laws for motion modeling in images

PDF: http://www.irisa.fr/fluminance/publi/papers/2009_ICCV_heas.pdf

Patrick Héas:

Etienne Mémin:

Dominique Heitz:

Pablo D. Mininni:

【Machine learning】Evaluating Information Contributions of Bottom-up and Top-down Processes

PDF: http://www.stat.ucla.edu/~sczhu/papers/Conf_2009/Topdown_Bottomup_channel_iccv09.pdf

Xiong Yang:

Tianfu Wu:

Song-Chun Zhu: http://www.stat.ucla.edu/~sczhu/

【Machine learning】Efficient subset selection based on the Renyi entropy

PDF: http://www.umiacs.umd.edu/~balajiv/Papers/iccv2009_paper.pdf

Balaji Vasan Srinivasan: http://www.umiacs.umd.edu/~balajiv/

Ramani Duraiswami:

【Machine learning】Kernel Map Compression using Generalized Radial Basis Functions

PDF: http://ivalab.ece.gatech.edu/publications/2009/ArVe_ICCV_2009b.pdf

Omar Arif:

Patricio A. Vela:

【Machine learning】An Algorithm for Minimizing the Piecewise Smooth Mumford-Shah Functional

Thomas Pock:

Daniel Cremers: http://vision.in.tum.de/

Horst Bischof: http://www.icg.tugraz.at/Members/bischof

Antonin Chambolle:

【Machine learning】Structural SVM for Visual Localization and Continuous State Estimation

PDF: http://sminchisescu.ins.uni-bonn.de/papers/ssvm.pdf

Catalin Ionescu:

Liefeng Bo:

Cristian Sminchisescu:

【Machine learning】Computation Complexity of Branch-and-Bound Model Selection

Ninad Thakoor:

Jean Gao:

Venkat Devarajan:

【Machine learning】Mode-Detection via Median-Shift

PDF: http://www.cs.tau.ac.il/~liors/research/papers/mode_detection.pdf

project: http://www.cs.tau.ac.il/~liors/mode-detection

Lior Shapira:

Shai Avidan:

Ariel Shamir:

【Machine learning】Weakly supervised discriminative localization and classification: a joint learning process

PDF: http://www.cs.dartmouth.edu/~lorenzo/Papers/ntdr-iccv09.pdf

Minh Hoai Nguyen:

Lorenzo Torresani: http://www.cs.dartmouth.edu/~lorenzo/

Fernando De la Torre:

Carsten Rother: http://www.inf.tu-dresden.de/index.php?node_id=3517&ln=de

【Machine learning】Time Series Prediction by Chaotic Modeling of Nonlinear Dynamical Systems

PDF: http://cs.ucf.edu/~arslan/Basharat_ICCV09.pdf

project: http://cs.ucf.edu/~arslan/chaoticsystems/index.htm

Arslan Basharat: http://eecs.ucf.edu/~arslan/

Mubarak Shah: http://www.cs.ucf.edu/~vision/faculty/shah.html

【Machine learning】Least-Squares Congealing for Large Numbers of Images

PDF: http://www.ri.cmu.edu/pub_files/2009/8/main-4-1.pdf

Mark Cox:

Simon Lucey:

Jeffrey Cohn:

Sridha Sridharan:

【Machine learning】Minimizing energy functions on 4-connected lattices using elimination

PDF: http://users.cecs.anu.edu.au/~pcarr/lazy-elimination/Elimination-ICCV09.pdf

Peter Carr:

Richard Hartley:

【Machine learning】A hybrid generative/discriminative classification framework based on free-energy terms

PDF: http://profs.sci.univr.it/~cristanm/Publications_files/ICCV2009_Cristani.pdf

Alessandro Perina:

Marco Cristani:

Umberto Castellani:

Vittorio Murino:

Nebojsa Jojic:

【Machine learning】Exploiting Uncertainty in Random Sample Consensus

PDF: http://www.cs.unc.edu/~rraguram/papers/iccv2009_268.pdf

Rahul Raguram:

Jan-Michael Frahm:

Marc Pollefeys: http://www.inf.ethz.ch/personal/pomarc/

【Machine learning】Tensor completion for estimating missing values in visual data

PDF: http://www.public.asu.edu/~jye02/Publications/Papers/ICCV2009_Tensor.pdf

Ji Liu:

Przemyslaw Musialski:

Peter Wonka:

Jieping Ye:

【Machine learning】Multimodal Partial Estimates Fusion

PDF: http://www.ece.northwestern.edu/~jxu323/publications/MPE_fusion.pdf

Jiang Xu:

Junsong Yuan:

Ying Wu:

【Machine learning】Group SAC: Efficient Consensus in the Presence of Groupings

PDF: http://frank.dellaert.com/pubs/Ni09iccv.pdf

Kai Ni:

Hailin Jin: http://vision.ucla.edu/~hljin/

Frank Dellaert: http://frank.dellaert.com/

【Machine learning】Optimizing Parametric Total Variation Models

PDF: http://www.maths.lth.se/vision/publdb/reports/pdf/strandmark-kahl-etal-iccv-09.pdf

Petter Strandmark:

Fredrik Kahl:

Niels Christian Overgaard:

【Machine learning】Deformable Model Fitting with a Mixture of Local Experts

PDF: http://www.ri.cmu.edu/pub_files/2009/8/CameraReady-8.pdf

Jason M. Saragih:

Simon Lucey:

Jeffrey F. Cohn:

【Machine learning】The Swap and Expansion Moves Revisited and a New Move

Ido Leichter:

【Machine learning】Weighted Graph Characteristics from Oriented Line Graph Polynomials

Peng Ren:

Richard C. Wilson:

Edwin R. Hancock:

【Machine learning】A Global Perspective on MAP Inference for Low-Level Vision

PDF: http://www.cs.ucl.ac.uk/staff/V.Kolmogorov/papers/MPF-ICCV09.pdf

Oliver J. Woodford:

Carsten Rother: http://www.inf.tu-dresden.de/index.php?node_id=3517&ln=de

Vladimir Kolmogorov: http://www.cs.ucl.ac.uk/staff/V.Kolmogorov/

【Machine learning】Estimating Contact Dynamics

PDF: http://www.cs.toronto.edu/~fleet/research/Papers/contactDynamicsICCV09.pdf

Marcus A. Brubaker:

Leonid Sigal:

David J. Fleet: http://www.cs.toronto.edu/~fleet/

【Deep learning】Piecewise Planar Stereo for Image-based Rendering

PDF: http://research.microsoft.com/en-us/um/redmond/groups/ivm/PlanarStereo/sinhaICCV09.pdf

project: http://research.microsoft.com/en-us/um/redmond/groups/ivm/PlanarStereo

Sudipta N. Sinha:

Drew Steedly:

Richard Szeliski: http://research.microsoft.com/en-us/um/people/szeliski/