2009 CVPR

下面是2009CVPR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】Vanishing Point Detection for Road Detection

PDF: http://www.di.ens.fr/willow/pdfs/cvpr09c.pdf

Hui Kong:

Jean-Yves Audibert:

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

【Scene parsing】Recognizing Indoor Scenes

PDF: http://people.csail.mit.edu/torralba/publications/indoor.pdf

Ariadna Quattoni: http://people.csail.mit.edu/ariadna/

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

【Scene parsing】Tour the World: building a web-scale landmark recognition engine

PDF: http://mingzhao.name/publications/2009_CVPR_landmark.pdf

project: http://mingzhao.name/publications/2009_CVPR_landmark_demo/

Yantao Zheng:

Ming Zhao:

Yang Song:

Hartwig Adam:

Ulrich Buddemeier:

Alessandro Bissacco:

Fernando Brucher:

Tat-Seng Chua:

Hartmut Neven:

【Scene parsing】A Revisit of Generative Model for Automatic Image Annotation using Markov Random Fields

Yu Xiang:

Xiangdong Zhou:

Tat-Seng Chua:

Chong-Wah Ngo:

【Scene parsing】Efficient Multi-label Classification with Hypergraph Regularization

Gang Chen:

Jianwen Zhang:

Fei Wang:

Changshui Zhang:

Yuli Gao:

【Scene parsing】Efficient Scale Space Auto-Context for Image Segmentation and Labeling

Jiayan Jiang:

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

【Scene parsing】Holistic Context Modeling using Semantic Co-occurrences

Nikhil Rasiwasia:

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

【Scene parsing】Learning Semantic Scene Models by Object Classification and Trajectory Clustering

Tianzhu Zhang:

Hanqing Lu:

Stan Li:

【Scene parsing】Nonparametric Scene Parsing: Label Transfer via Dense Scene Alignment

PDF: http://people.csail.mit.edu/torralba/publications/siftFlowCVPR.pdf

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

Jenny Yuen:

Antonio Torralba: http://people.csail.mit.edu/torralba

【Scene parsing】Towards Total Scene Understanding: Classification, Annotation and Segmentation in an Unsupervised Framework

PDF: http://vision.cs.princeton.edu/documents/LiSocherFei-Fei_CVPR2009.pdf

Li-Jia Li:

Richard Socher:

Li Fei-Fei:

【Scene parsing】What’s It Going to Cost You?: Predicting Effort vs. Informativeness for Multi-Label Image Annotations

Sudheendra Vijayanarasimhan:

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

【Scene parsing】Contextual Decomposition of Multi-Label Images

PDF: http://www.lv-nus.org/papers/2009/2009_C_15.pdf

Teng Li:

Tao Mei:

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

In So Kweon: http://rcv.kaist.ac.kr/

Chilwoo Lee:

【Object segmentation】Learning color and locality cues for moving object detection and segmentation

Feng Liu: http://web.cecs.pdx.edu/~fliu/

Michael Gleicher: http://pages.cs.wisc.edu/~gleicher/

【Object segmentation】New Appearance Models for Natural Image Matting

PDF: http://research.microsoft.com/pubs/80300/cvpr09-matting-newModels.pdf

Dheeraj Singaraju:

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

Christoph Rhemann:

【Object segmentation】Shape Constrained Figure-Ground Segmentation and Tracking

PDF: http://vision.cse.psu.edu/paper/CVPR2009YinCollins.pdf

Zhaozheng Yin:

Robert Collins: http://www.cse.psu.edu/~rcollins/

【Object segmentation】What is the Spatial Extent of an Object?

PDF: http://staff.science.uva.nl/~jrruijli/homepage/uploads/1348.pdf

Jasper Uijlings: http://staff.science.uva.nl/~jrruijli/homepage/pmwiki.php?n=Main.Publications

Arnold Smeulders:

Remko Scha:

【Object segmentation】HOP: Hierarchical Object Parsing

PDF: http://www.mas.ecp.fr/vision/Personnel/iasonas/KokkinosYuille_hop_CVPR09.pdf

Iasonas Kokkinos: http://www.mas.ecp.fr/vision/Personnel/iasonas/

Alan Yuille: http://www.stat.ucla.edu/~yuille/

【Object segmentation】Symmetry Integrated Region-based Image Segmentation

Yu Sun:

Bir Bhanu:

【Object segmentation】Video Object Segmentation by Hypergraph Cut

PDF: http://paul.rutgers.edu/~yuchuang/papers/CVPR09_Yuchi.pdf

Yuchi Huang: http://paul.rutgers.edu/~yuchuang

Qingshan Liu:

Dimitris Metaxas:

【Object segmentation】A Perceptually Motivated Online Benchmark for Image Matting

PDF: http://research.microsoft.com/pubs/80299/cvpr09-matting-Eval.pdf

project: http://www.alphamatting.com/

Christoph Rhemann:

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

Jue Wang: http://www.juew.org/

Margrit Gelautz:

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

Pamela Rott:

【Object segmentation】Half-integrality based algorithms for Cosegmentation of Images

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

Lopamudra Mukherjee:

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

Charles R. Dyer:

【Image segmentation】Active Volume Models for 3D Medical Image Segmentation

Tian Shen:

Hongsheng Li:

Zhen Qian:

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

【Image segmentation】Fuzzy-Cuts: A Knowledge-Driven Graph-Based Method for Medical Image Segmentation

Deepak Roy Chittajallu:

Gerd Brunner:

Uday Kurkure:

Raja Yalamanchili:

Ioannis Kakadiaris:

【Image segmentation】Non-Rigid 2D-3D Pose Estimation and 2D Image Segmentation

Romeil Sandhu:

Samuel Dambreville:

Anthony Yezzi:

Allen Tannenbaum:

【Image segmentation】P-Brush: Continuous Valued MRFs with Normed Pairwise Distributions for Image Segmentation

PDF: http://cns.bu.edu/~lgrady/singaraju2009pbrush.pdf

Dheeraj Singaraju:

Leo Grady: http://cns.bu.edu/~lgrady/

René Vidal:

【Image segmentation】Multiphase Geometric Couplings for the Segmentation of Neural Processes

PDF: http://www.eecs.tufts.edu/~avazqu01/files/papers/active_ribbons_cvpr09oral.pdf

Amelio Vazquez Reina: http://www.eecs.tufts.edu/~avazqu01/

Eric Miller: http://www.ece.tufts.edu/~elmiller/elmhome/

Hanspeter Pfister: http://www.seas.harvard.edu/directory/professionalbio/index.html?id=4536

【Image segmentation】Global Active Contour-based Image Segmentation via Probability Alignment

PDF: http://www.bme.ogi.edu/~myron/publications/CVPR09_segm.pdf

Andriy Myronenko: http://www.bme.ogi.edu/~myron/publications/publications.html

Xubo Song:

【Image segmentation】A Multiscale Hybrid Model Exploiting Heterogeneous Contextual Relationships for Image Segmentation

Lei Zhang:

Qiang Ji: http://www.ecse.rpi.edu/~qji/

【Boundary detection】Physics-based Edge Evaluation for Improved Color Constancy

Arjan Gijsenij:

Theo Gevers:

Joost Van de Weijer:

【Boundary detection】Predicting High Resolution Image Edges with a Generic, Adaptive, 3-D Vehicle Model

Matthew Leotta:

Joseph Mundy:

【Boundary detection】Curvature and Singularity Driven Diffusion for Oriented Pattern Enhancement with Singular Points

PDF: http://www4.comp.polyu.edu.hk/~cslzhang/paper/conf/CVPR09.pdf

Qijun Zhao:

Lei Zhang: http://www4.comp.polyu.edu.hk/~cslzhang

David Zhang: http://www4.comp.polyu.edu.hk/~csdzhang/

Wenyi Huang:

Jian Bai:

【Boundary detection】On Edge Detection on Surfaces

PDF: http://mis.haifa.ac.il/~ishimshoni/papers/KolomenkinShimshoniTalCVPR2009.pdf

Michael Kolomenkin:

Ilan Shimshoni: http://mis.haifa.ac.il/~ishimshoni

Ayellet Tal: http://webee.technion.ac.il/labs/cgm/

【Contour analysis】Shape Evolution for Rigid and Nonrigid Shape Registration and Recovery

Junyan Wang:

Kap Luk Chan:

【Contour analysis】Shape Analysis with Conformal Invariants for Multiply Connected Domains and its Application to Analyzing Brain Morphology

Yalin Wang:

Xianfeng Gu:

Tony Chan:

Paul Thompson:

【Contour analysis】Shape-based Detection of Moving Objects in Videos Using Synthetic 3D Models

Alexander Toshev:

Ameesh Makadia:

Kostas Daniilidis:

【Contour analysis】Increased Discrimination in Level Set Methods with Embedded Conditional Random Fields

PDF: http://www.cs.ualberta.ca/~dana/Papers/09cvpr_contCRF.pdf

Dana Cobzas: http://www.cs.ualberta.ca/~dana

Mark Schmidt:

【Contour analysis】Lidar Boost: Depth Superresolution for To F 3D Shape Scanning

PDF: http://ai.stanford.edu/~schuon/sr/cvpr09_superresolution.pdf

project: http://ai.stanford.edu/~schuon/2009/04/superresolution-of-3d-lidarboost.html

Sebastian Schuon: http://ai.stanford.edu/~schuon

Christian Theobalt:

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

Sebastian Thrun:

【Contour analysis】Locally Constrained Diffusion Process on Locally Densified Distance Spaces with Applications to Shape Retrieval

Xingwei Yang:

Suzan Koknar-Tezel:

Longin Jan Latecki:

【Contour analysis】Shape Classification Through Structured Learning of Matching Measures

PDF: http://rogerioferis.com/publications/FerisCVPR09a.pdf

Longbin Chen:

Julian J. Mc Auley:

Rogerio S. Feris: http://rogerioferis.com/

Tiberio S. Caetano:

Matthew Turk:

【Contour analysis】Shape Comparison Using Perturbing Shape Registration

Yifeng Jiang:

Erin Edmiston:

Fei Wang:

Hilary Blumberg:

Lawrence Staib:

Xenophon Papademetris:

【Contour analysis】Fast Multiple Shape Correspondence by Pre-Organizing Shape Instances

PDF: http://www.cse.sc.edu/~songwang/document/cvpr09.pdf

Brent Munsell:

Andrew Temlyakov:

Song Wang:

【Contour analysis】Learning Shape Prior Models for Object Matching

PDF: http://lear.inrialpes.fr/pubs/2009/JJS09/cvpr2009_final.pdf

Tingting Jiang: http://lear.inrialpes.fr/people/tjiang/

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

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

【Contour analysis】Global Optimization for Alignment of Generalized Shapes

Hongsheng Li:

Tian Shen:

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

【Contour analysis】Retrographic sensing for the measurement of surface texture and shape

Micah Johnson:

Edward Adelson:

【Contour analysis】Shape Priors and Discrete MRFs for Knowledge-based Segmentation

Ahmed Besbes:

Nikos Komodakis: http://imagine.enpc.fr/~komodakn/

Georg Langs:

Nikos Paragios:

【Contour analysis】Nonrigid Shape Recovery by Gaussian Process Regression

PDF: http://www.vision.ee.ethz.ch/~zhuji/pdfs/cvpr09.pdf

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

Steven C.H. Hoi:

Michael Lyu:

【Contour analysis】Shape Discovery from Unlabeled Image Collections

PDF: http://users.ece.utexas.edu/~ylee/shapediscovery/lee_grauman_cvpr2009.pdf

project: http://users.ece.utexas.edu/~ylee/shapediscovery/shapediscovery.html

Yong Jae Lee: http://users.ece.utexas.edu/~ylee

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

【Contour analysis】From Contours to Regions: An Empirical Evaluation

PDF: http://www.cs.berkeley.edu/~arbelaez/publications/Arbelaez_Maire_Fowlkes_Malik_CVPR2009.pdf

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

Michael Maire: http://ttic.uchicago.edu/~mmaire/

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

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

【Contour analysis】Fourier Analysis and Gabor Filtering for Texture Analysis and Local Reconstruction of General Shapes

Fabio Galasso:

Joan Lasenby:

【Contour analysis】Shape of Gaussians as Feature Descriptors

Liyu Gong:

Tianjiang Wang:

Fang Liu:

【Contour analysis】A Robust Shape Model for Multi-view Car Alignment

Yan Li:

Leon Gu:

Takeo Kanade:

【Contour analysis】Dimension-Free Affine Shape Matching Through Subspace Invariance

Zhaozhong Wang:

Han Xiao:

【Object tracking】Discriminatively Trained Particle Filters for Complex Multi-Object Tracking

Rob Hess:

Alan Fern:

【Object tracking】Robust Guidewire Tracking in Fluoroscopy

Peng Wang:

Terrence Chen:

Ying Zhu:

Wei Zhang:

  1. Kevin Zhou:

Comaniciu Dorin:

【Object tracking】Visual Tracking with Online Multiple Instance Learning

PDF: http://vision.ucsd.edu/~bbabenko/data/miltrack_cvpr09.pdf

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

Ming-Hsuan Yang:

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

【Object tracking】Visual Tracking on the Affine Group via Geometric Particle Filtering using Optimal Importance Function

PDF: http://cv.snu.ac.kr/newhome/publication/pdf/conf/ic068.pdf

Junghyun Kwon: http://cv.snu.ac.kr/jhkwon/

Kyoung Mu Lee: http://cv.snu.ac.kr/new/home/?mid=professor

Frank C. Park:

【Object tracking】Saliency-based Discriminant Tracking

Vijay Mahadevan:

【Object tracking】Video Trek: A Vision System for a Tag-along Robot

Oleg Naroditsky:

Zhiwei Zhu:

Aveek Das:

Supun Samarasekera:

Taragay Oskiper:

Rakesh Kumar:

【Object tracking】Multi-Object Tracking through Occlusions by Local Tracklets Filtering and Global Tracklets Association with Detection Responses

Junliang Xing:

Haizhou Ai:

Shihong Lao:

【Object tracking】Tracking of a Non-Rigid Object via Patch-based Dynamic Appearance Modeling and Adaptive Basin Hopping Monte Carlo Sampling

PDF: http://cv.snu.ac.kr/newhome/publication/pdf/conf/ic067.pdf

Junseok Kwon:

Kyoung Mu Lee: http://cv.snu.ac.kr/new/home/?mid=professor

【Object tracking】Distributed Multi-Target Tracking In A Self-Configuring Camera Network

PDF: http://www.ee.ucr.edu/~amitrc/cvpr09.pdf

project: http://www.ee.ucr.edu/~amitrc/CameraNetworks.htm

code: http://www.ee.ucr.edu/~amitrc/ExampleCode_cvpr09.zip

Cristian Soto:

Bi Song:

Amit Roy-Chowdhury: http://www.ee.ucr.edu/~amitrc/publications.htm

【Object tracking】Motion Capture Using Joint Skeleton Tracking and Surface Estimation

PDF: http://www.vision.ee.ethz.ch/~gallju/download/jgall_skelsurf_cvpr09.pdf

Juergen Gall: http://www.vision.ee.ethz.ch/~gallju/

Carsten Stoll:

Edilson de Aguiar:

Christian Theobalt:

Bodo Rosenhahn:

Hans-Peter Seidel:

【Object tracking】Discrete Tracking of Parametrized Curves

Hauke Heibel:

Ben Glocker:

Martin Groher:

Nikos Komodakis: http://imagine.enpc.fr/~komodakn/

Nikos Paragios:

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

【Object tracking】Learning to Track with Multiple Observers

PDF: http://mi.eng.cam.ac.uk/~bdrs2/papers/stenger_cvpr09.pdf

Bjorn Stenger: http://mi.eng.cam.ac.uk/~bdrs2/

Thomas Woodley:

Roberto Cipolla: http://mi.eng.cam.ac.uk/~cipolla/index.htm

【Object tracking】Switching Gaussian Process Dynamic Models for Simultaneous Composite Motion Tracking and Recognition

Jixu Chen:

Minyoung Kim:

Yu Wang:

Qiang Ji: http://www.ecse.rpi.edu/~qji/

【Object tracking】A Distribution-Based Approach to Tracking Points in Velocity Vector Fields

Liefei Xu:

  1. Quynh Dinh:

Eugene Zhang:

Zhongzang Lin:

Robert Laramee:

【Object tracking】Motion Pattern Interpretation and Detection for Tracking Moving Vehicles in Airborne Videos

Qian Yu:

Gerard Medioni:

【Object tracking】Learning to Associate: Hybrid Boosted Multi-Target Tracker for Crowded Scene

PDF: http://iris.usc.edu/~yli8/papers/tracking_cvpr09.pdf

Yuan Li: http://iris.usc.edu/~yli8

Chang Huang:

Ram Nevatia: http://iris.usc.edu/USC-Computer-Vision.html

【Action recognition】Max-Margin Hidden Conditional Random Fields for Human Action Recognition

PDF: http://www.sfu.ca/~ywang12/papers/cvpr09.pdf

Yang Wang: http://www.sfu.ca/~ywang12/papers.html

Greg Mori: http://www.cs.sfu.ca/~mori/

【Action recognition】Recognizing Linked Events: Searching the Space of Feasible Explanations

PDF: http://www.comp.leeds.ac.uk/dima/CVPR09.pdf

Dima Damen: http://www.comp.leeds.ac.uk/dima/

David Hogg:

【Action recognition】Abnormal Crowd Behavior Detection using Social Force Model

PDF: http://www.cs.ucf.edu/~ramin/papers/AbnormalCrowdSocialForce_CVPR09.pdf

Ramin Mehran: http://www.cs.ucf.edu/~ramin

Alexis Oyama:

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

【Action recognition】Recognition of Repetitive Sequential Human Activity

Quanfu Fan:

Russell Bobbitt:

Zhai Yun:

Akira Yanagwa:

Sharath Pankanti:

Arun Hampapur:

【Action recognition】Dense saliency-based spatiotemporal feature points for action recognition

PDF: http://www.image.ece.ntua.gr/php/savepaper.php?id=581

Konstantinos Rapantzikos:

Yannis Avrithis:

Stefanos Kollias:

【Action recognition】Recognizing Human Group Activities by Localized Causalities

PDF: http://www.lv-nus.org/papers/2009/2009_C_12.pdf

Bingbing Ni:

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

Ashraf Kassim:

【Action recognition】Histograms of Oriented Optical Flow and Binet-Cauchy Kernels on Nonlinear Dynamical Systems for the Recognition of Human Actions

PDF: http://www.cis.jhu.edu/~rizwanch/papers/ChaudhryCVPR09.pdf

Rizwan Chaudhry: http://www.cis.jhu.edu/~rizwanch

Avinash Ravichandran:

Gregory Hager:

Rene Vidal: http://cis.jhu.edu/~rvidal/

【Action recognition】Recognising Action as Clouds of Space-Time Interest Points

Matteo Bregonzio:

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

Tao Xiang:

【Action recognition】Multi-Camera Activity Correlation Analysis

PDF: http://www.dcs.qmul.ac.uk/~ccloy/files/cvpr_2009.pdf

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

Tao Xiang:

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

【Action recognition】Recognizing Realistic Actions from Videos “in the Wild”

PDF: http://www.cs.ucf.edu/~liujg/papers/cvpr2009_liu1.pdf

Jingen Liu: http://www.cs.ucf.edu/~liujg

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

and Mubarak Shah:

【Action recognition】Hierarchical Spatio-Temporal Context Modeling for Action Recognition

PDF: http://www.lv-nus.org/papers/2009/2009_C_16.pdf

Ju Sun:

Xiao Wu:

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

Loong Fah Cheong:

Tat-Seng Chua:

Jintao Li:

【Action recognition】Understanding Videos, Constructing Plots – Learning a Visually Grounded Storyline Model from Annotated Videos

PDF: http://www.umiacs.umd.edu/~agupta/cvpr_2009_online.pdf

Abhinav Gupta: http://www.umiacs.umd.edu/~agupta/

Praveen Srinivasan:

Jianbo Shi: http://www.cis.upenn.edu/~jshi/

Larry S. Davis:

【Action recognition】Locally Time-Invariant Models of Human Activities using Trajectories on the Grassmannian

Pavan Turaga:

Rama Chellappa:

【Action recognition】Discriminative Subvolume Search for Efficient Action Detection

PDF: http://www.ece.northwestern.edu/~jyu410/index_files/papers/Yuan_Liu_Wu_CVPR09.pdf

Junsong Yuan: http://www.ece.northwestern.edu/~jyu410/

Zicheng Liu:

Ying Wu:

【Action recognition】Learning Multi-modal densities on Discriminative Temporal Interaction Manifold for Group Activity Recognition

Ruonan Li:

Rama Chellappa:

  1. Kevin Zhou:

【Action recognition】Abnormal Events Detection Based on Spatio-Temporal Co-occurences

Yannick Benezeth:

Pierre-Marc Jodoin:

Venkatesh Saligrama:

Christophe Rosenberger:

【Action recognition】Observe Locally, Infer Globally: a Space-Time MRF for Detecting Abnormal Activities with Incremental Updates

PDF: http://www.cs.utexas.edu/~grauman/papers/kim_grauman_cvpr2009.pdf

Jaechul Kim:

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

【Action recognition】Actions in context

PDF: http://lear.inrialpes.fr/pubs/2009/MLS09/MarszalekLaptevSchmid-CVPR09-ActionsContext.pdf

project: http://lear.inrialpes.fr/pubs/2009/MLS09/

Marcin Marszalek: http://lear.inrialpes.fr/people/marszalek/

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

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

【Crowd analysis】Understanding Images of Groups of People

PDF: http://amp.ece.cmu.edu/people/Andy/Andy_files/cvpr09.pdf

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

Tsuhan Chen: http://amp.ece.cmu.edu/people/Tsuhan

【Crowd analysis】Flow Mosaicking: Real-time Pedestrian Counting without Scene-specific Learning

Yang Cong:

Haifeng Gong:

Song-Chun Zhu:

Yandong Tang:

【Crowd analysis】Anomaly Detection in Extremely Crowded Scenes using Spatio-Temporal Motion Pattern Models

Louis Kratz:

Ko Nishino:

【Crowd analysis】Monitoring, Recognizing and Discovering Social Groups

Ting Yu:

Ser Nam Lim:

Kedar Patwardhan:

Nils Krahnstoever:

【Crowd analysis】Marked Point Processes for Crowd Counting

PDF: http://vision.cse.psu.edu/paper/CVPR2009GeCollins.pdf

Weina Ge:

Robert Collins: http://www.cse.psu.edu/~rcollins/

【Human detection】Pedestrian Detection: A Benchmark

PDF: http://vision.ucsd.edu/~pdollar/research/papers/CVPR09pedestrians.pdf

Piotr Dollár: http://vision.ucsd.edu/~pdollar/

Christian Wojek:

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

Pietro Perona: http://vision.caltech.edu/Perona.html

【Human detection】Multi-Cue Onboard Pedestrian Detection

PDF: http://www.mis.informatik.tu-darmstadt.de/People/cwojek/wojek09cvpr.pdf

Christian Wojek: http://www.mis.informatik.tu-darmstadt.de/People/cwojek/

Stefan Walk:

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

【Human detection】Granularity-tunable gradients partition

Yazhou Liu: http://www.jdl.ac.cn/user/yzliu/homepage/index.htm

Shiguang Shan:

Wenchao Zhang:

Xilin Chen:

Wen Gao:

【Human detection】Fast Human Detection in Crowded Scenes by Contour Integration and Local Shape Estimation

Csaba Beleznai:

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

【Human parsing】Pictorial Structures Revisited: People Detection and Articulated Pose Estimation

PDF: http://www.gris.informatik.tu-darmstadt.de/~sroth/pubs/cvpr09andriluka.pdf

Mykhaylo Andriluka:

Stefan Roth: http://www.gris.informatik.tu-darmstadt.de/~sroth

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

【Human parsing】Observable Subspaces for 3D Human Motion Recovery

PDF: http://cvlab.epfl.ch/publications/publications/2009/FossatiSF09.pdf

Andrea Fossati:

Mathieu Salzmann:

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

【Human parsing】Human Motion Synthesis from 3D Video

PDF: http://personal.ee.surrey.ac.uk/Personal/P.Huang/Peng-web/Publications_files/huang_cvpr09_preprint.pdf

Peng Huang: http://personal.ee.surrey.ac.uk/Personal/P.Huang/Peng-web/Home.html

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

Jonathan Starck: http://personal.ee.surrey.ac.uk/Personal/J.Starck/

【Human parsing】Adaptive Contour Features in Oriented Granular Space for Human Detection and Segmentation

Wei Gao:

Haizhou Ai:

Shihong Lao:

【Human parsing】Multi-view 3D Human Pose Estimation combining Single-frame Recovery, Temporal Integration and Model Adaptation

Michael Hofmann:

Dariu Gavrila:

【Human parsing】Learning Signs from Subtitles: A Weakly Supervised Approach to Sign Language Recognition

PDF: http://personal.ee.surrey.ac.uk/Personal/H.M/research/papers/LearningSignFromSubtitles.pdf

Helen Cooper: http://personal.ee.surrey.ac.uk/Personal/H.M/

Richard Bowden: http://personal.ee.surrey.ac.uk/Personal/R.Bowden/

【Human parsing】Automated Extraction of Signs from Continuous Sign Language Sentences using Iterated Conditional Modes

Sunita Nayak:

Sudeep Sarkar:

Barbara Loeding:

【Human parsing】Learning sign language by watching TV

PDF: http://www.comp.leeds.ac.uk/me/Publications/cvpr09_bsl.pdf

Patrick Buehler:

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

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

【Face recognition】Cancelable Iris Biometrics: Using Error Correcting Codes to Reduce Variabilities of the Biometric Data

Sanjay Kanade:

Dijana Petrovska-DelacrŽtaz:

Bernadette Dorizzi:

【Face recognition】Physiological Face Recognition Is Coming of Age

Pradeep Buddharaju:

Ioannis Pavlidis:

【Face recognition】Support Vector Machines in Face Recognition with Occlusions

PDF: http://www.ece.osu.edu/~jiah/documents/CVPR09.pdf

Hongjun Jia: http://www.ece.osu.edu/~jiah/research.htm

Aleix Martinez:

【Face recognition】Boosted Multi-Task Learning for Face Verification With Applications to Web Image and Video Search

PDF: http://research.microsoft.com/en-us/um/people/zhang/papers/CVPR09-FV.pdf

Xiaogang Wang: http://www.ee.cuhk.edu.hk/~xgwang/

Cha Zhang:

Zhengyou Zhang: http://research.microsoft.com/en-us/um/people/zhang/

【Face recognition】Towards a Practical Face Recognition System: Robust Registration and Illumination by Sparse Representation

Andrew Wagner:

John Wright:

Arvind Ganesh:

Zihan Zhou:

Yi Ma: http://yima.csl.illinois.edu/

【Face recognition】Maximizing Intra-individual Correlations for Face Recognition Across Pose Differences

PDF: http://www.jdl.ac.cn/user/anli/cvpr09_paper.pdf

Annan Li: http://www.jdl.ac.cn/user/anli/

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

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

Wen Gao: http://www.jdl.ac.cn/htm-gaowen/index_en.htm

【Face recognition】“Who are you?” – Learning person specific classifiers from video

PDF: http://www.comp.leeds.ac.uk/me/Publications/cvpr09_buffy.pdf

Josef Sivic:

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

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

【Face recognition】Implicit Elastic Matching with Random Projections for Pose-variant Face Recognition

PDF: http://www.ece.northwestern.edu/~ganghua/publication/CVPR09a.pdf

John Wright: http://perception.csl.uiuc.edu/~jnwright/publications.html

Gang Hua: http://www.ece.northwestern.edu/~ganghua/ghweb/publication.htm

【Face recognition】Joint and Implicit Registration for Face Recognition

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

Peng Li:

Simon J. D. Prince:

【Face recognition】A Compressive Sensing Approach for Expression-Invariant Face Recognition

Pradeep Nagesh:

Baoxin Li:

【Face recognition】Face Verification and Identification using Facial Trait Code

Ping-Han Lee:

Gee-Sern Hsu:

Yi-Ping Hung:

【Face recognition】Textural Hausdorff Distance for Wider-Range Tolerance to Pose Variation and Misalignment in 2D Face Recognition

Sanqiang Zhao:

Yongsheng Gao:

【Face recognition】Nonparametric Discriminant HMM and Application to Facial Expression Recognition

Lifeng Shang:

Kwok-Ping Chan:

【Face recognition】Expression-Insensitive 3D Face Recognition using Sparse Representation

Xiaoxing Li:

Tao Jia:

Richard Zhang:

【Face recognition】How far can you get with a modern face recognition test set using only simple features?

PDF: http://pinto.scripts.mit.edu/uploads/Research/pinto-dicarlo-cox-cvpr-2009-mkl.pdf

Nicolas Pinto: http://pinto.scripts.mit.edu/

James J. Di Carlo:

David D. Cox:

【Face detection】Automatic Fetal Face Detection From Ultrasound Volumes Via Learning 3D and 2D Information

Shaolei Feng:

  1. Kevin Zhou:

Sara Good:

Comaniciu Dorin:

【Face parsing】Digital Face Makeup by Example

PDF: http://www.comp.nus.edu.sg/~guodong/makeup/face_makeup_cvpr09.pdf

project: http://www.comp.nus.edu.sg/~guodong/makeup/

Dong Guo: http://www.comp.nus.edu.sg/~guodong/

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

【Face parsing】Human Age Estimation Using Bio-inspired Features

Guodong Guo:

Guowang Mu:

Yun Fu:

Thomas Huang:

【Face parsing】Learning Partially-Observed Hidden Conditional Random Fields for Facial Expression Recognition

Kai-Yueh Chang:

Tyng-Luh Liu:

Shang-Hong Lai:

【Face parsing】Robustifying Eye Center Localization by Head Pose Cues

PDF: http://staff.science.uva.nl/~rvalenti/publications/CVPR09.pdf

dataset: http://staff.science.uva.nl/~rvalenti/index.php?content=UvAEyes

Roberto Valenti: http://staff.science.uva.nl/~rvalenti/index.php?content=publications

Zeynep Yucel: http://www.ee.bilkent.edu.tr/~zeynep/publications.html

Theo Gevers:

【Face parsing】Memory-based particle filter for face pose tracking robust under complex dynamics

PDF: http://www.brl.ntt.co.jp/people/dan/demo/cvpr09/CVPR2009paper.pdf

Dan Mikami:

Kazuhiro Otsuka:

Junji Yamato:

【Face parsing】Coupled Spectral Regression for Matching Heterogeneous Faces

Zhen Lei:

Stan Li:

【Face parsing】3D Morphable Face Models Revisited

Ankur Patel:

William Smith:

【Face parsing】Enhanced Pictorial Structures for Precise Eye Localization under Uncontrolled Conditions

PDF: http://parnec.nuaa.edu.cn/xtan/paper/xtan-cvpr09.pdf

Xiaoyang Tan: http://parnec.nuaa.edu.cn/xtan/

Fengyi Song:

Zhi-Hua Zhou:

Songcan Chen:

【Face parsing】Learning Based Automatic Face Annotation and AAM Building for Arbitrary Poses and Expressions from Frontal Images Only

Akshay Asthana:

Roland Goecke:

Novi Quadrianto:

Tom Gedeon:

【Face parsing】Dense 3D Motion Capture for Human Faces

PDF: http://www.di.ens.fr/willow/pdfs/cvpr09b.pdf

Yasutaka Furukawa:

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

【Face parsing】3D Pose Estimation and Segmentation using Specular Cues

PDF: http://www.umiacs.umd.edu/~aagrawal/cvpr09/PoseEstimationSpecularObjects/ChangCVPR09SpecularPose.pdf

Ju Yong Chang:

Ramesh Raskar:

Amit Agrawal: http://www.umiacs.umd.edu/~aagrawal/

【Face parsing】On Compositional Image Alignment with an Application to Active Appearance Models

Brian Amberg:

Andrew Blake:

Thomas Vetter:

【Face parsing】Automatic Facial Landmark Labeling with Minimal Supervision

Yan Tong:

Xiaoming Liu:

Frederick Wheeler:

Peter Tu:

【Object recognition】Image Net: A Large-Scale Hierarchical Image Database

PDF: http://www.image-net.org/papers/imagenet_cvpr09.pdf

Jia Deng:

Wei Dong:

Richard Socher:

Li-Jia Li:

Kai Li:

Li Fei-Fei:

【Object recognition】Learning Mixed Templates for Object Recognition

Zhangzhang Si:

Haifeng Gong:

Ying Nian Wu:

Song-Chun Zhu:

【Object recognition】Fast concurrent object localization and recognition

PDF: http://people.csail.mit.edu/tomyeh/homepage/pubs/CVPR2009.pdf

Tom Yeh: http://people.csail.mit.edu/tomyeh/homepage/index.html

John Lee:

Trevor Darrell: http://www.eecs.berkeley.edu/~trevor/

【Object recognition】Dictionary-Free Categorization of Very Similar Objects via Stacked Evidence Trees

Gonzalo Martinez Munoz:

Wei Zhang:

Nadia Payet:

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

Natalia Larios Delgado:

Asako Yamamuro:

David Lytle:

Andrew Moldenke:

Eric Mortensen:

Robert Paasch:

Linda Shapiro: http://homes.cs.washington.edu/~shapiro/

Thomas Dietterich:

【Object recognition】Reducing Joint Boost-Based Multiclass Classification to Vector Indexing

PDF: http://cs-people.bu.edu/athitsos/publications/stefan_cvpr2009.pdf

Alexandra Stefan:

Vassilis Athitsos: http://cs-people.bu.edu/athitsos/publications/

Quan Yuan:

Stan Sclaroff:

【Object recognition】Recognition using Regions

PDF: http://www.eecs.berkeley.edu/~lim/paper/glam_cvpr09.pdf

Chunhui Gu:

Joseph J. Lim: http://www.eecs.berkeley.edu/~lim/

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

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

【Object recognition】Keypoint Induced Distance Profiles for Visual Recognition

Tat-Jun Chin:

David Suter:

【Object recognition】A Min-Max Framework of Cascaded Classifier with Multiple Instance Learning for Computer Aided Diagnosis

Dijia Wu:

Jinbo Bi:

Kim Boyer:

【Object recognition】Describing Objects by their Attributes

PDF: http://www.cs.uiuc.edu/homes/afarhad2/Attributes.pdf

Ali Farhadi: http://www.cs.uiuc.edu/homes/afarhad2

Ian Endres:

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

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

【Object recognition】Disambiguating the Recognition of 3D Objects

Gutemberg Guerra-Filho:

【Object detection】Efficient Algorithms for Subwindow Search in Object Detection and Localization

PDF: http://www.cs.ualberta.ca/~jag/papersVis2/09cvpr/papers/0196.pdf

code: http://impca.cs.curtin.edu.au/downloads/software.php

Senjian An:

Patrick Peursum:

Wanquan Liu:

Svetha Venkatesh:

【Object detection】Multiple Instance Feature for Robust Part-based Object Detection

PDF: http://www.ece.northwestern.edu/~ganghua/publication/CVPR09b.pdf

Zhe Lin: http://www.adobe.com/technology/people/san-jose/zhe-lin.html

Gang Hua: http://www.ece.northwestern.edu/~ganghua/ghweb/publication.htm

Larry Davis: http://www.umiacs.umd.edu/~lsd/

【Object detection】Real-time Vehicle Detection for Highway Driving

Ben Southall:

Mayank Bansal:

Jayan Eledath:

【Object detection】Learning To Detect Unseen Object Classes by Between-Class Attribute Transfer

PDF: http://www.kyb.mpg.de/publications/attachments/CVPR2009-Lampert_%5b0%5d.pdf

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

Hannes Nickisch: http://www.kyb.mpg.de/~hn

Stefan Harmeling: http://www.kyb.mpg.de/~harmeling

【Object detection】Class-Specific Hough Forests for Object Detection

PDF: http://research.microsoft.com/en-us/um/people/victlem/cvpr2009.pdf

Juergen Gall: http://www.mpi-inf.mpg.de/~jgall/

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

【Object detection】Object Detection using a Max-Margin Hough Transform

PDF: http://www.cs.berkeley.edu/~smaji/papers/smaji-cvpr09.pdf

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

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

【Object detection】Curved Glide-Reflection Symmetry Detection

PDF: http://vision.cse.psu.edu/paper/CVPR2009LeeLiu.pdf

Seungkyu Lee:

Yanxi Liu:

【Object detection】Distance Transform Templates for Object Detection and Pose Estimation

PDF: http://wwwnavab.in.tum.de/pub/holzerst2009distancetemplates/holzerst2009distancetemplates.pdf

project: http://campar.in.tum.de/Chair/ProjectComputerVisionCADModel

Stefan Holzer:

Stefan Hinterstoisser:

Slobodan Ilic:

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

【Object detection】An Empirical Study of Context in Object Detection

PDF: http://www.cs.cmu.edu/~santosh/projects/papers/contextInDetectn_cvpr09.pdf

project: http://www.cs.cmu.edu/~santosh/projects/context.html

Santosh Kumar Divvala: http://www.cs.cmu.edu/~santosh

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

James Hays: http://www.cs.brown.edu/~hays/

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

Martial Hebert: http://www.cs.cmu.edu/~hebert/

【Object detection】Shape Band: A Deformable Object Detection Approach PDF

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

Quannan Li:

Login Jan Latecki:

Wenyu Liu:

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

【Object detection】Robust Object Detection Using Marginal Space Learning and Ranking-Based Multi-Detector Aggregation: Application to Left Ventricle Detection in 2D MRI Images

Yefeng Zheng:

Xiaoguang Lu:

Bogdan Georgescu:

Arne Littmann:

Edgar Mueller:

Comaniciu Dorin:

【Object detection】Discriminative Structure Learning of Hierarchical Representations for Object Detection

PDF: http://www.gris.informatik.tu-darmstadt.de/~sroth/pubs/cvpr09schnitzspan.pdf

Paul Schnitzspan:

Mario Fritz: https://scalable.mpi-inf.mpg.de/

Stefan Roth: http://www.gris.informatik.tu-darmstadt.de/~sroth

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

【Object detection】Fast Car Detection Using Image Strip Features

Wei Zheng:

Luhong Liang:

【Object detection】Classifier Grids for Robust Adaptive Object Detection

PDF: http://www.vision.ee.ethz.ch/~hegrabne/papers/Roth2009ClassifierGridsRobusta.pdf

Roth:

Peter:

【Object detection】Optimal Scanning for Faster Object Detection

PDF: http://mplab.ucsd.edu/wp-content/uploads/2139.pdf

Nicholas J. Butko:

Javier R. Movellan:

【Saliency detection】Pose Estimation for Category Specific Multiview Object Localization

PDF: http://cvlab.epfl.ch/publications/publications/2009/OzuysalLF09.pdf

Mustafa Ozuysal:

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

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

【Saliency detection】Frequency-tuned Salient Region Detection

PDF: http://infoscience.epfl.ch/record/135217/files/SaliencyCVPR09.pdf

Radhakrishna Achanta:

Sheila Hemami:

Francisco Estrada:

Sabine SŸsstrunk:

【Saliency detection】Random Walks on Graphs to Model Saliency in Images

PDF: http://www.scribd.com/document_downloads/14670221?extension=pdf&secret_password=

Viswanath Gopalakrishnan:

Yiqun Hu:

Deepu Rajan:

【Scene recognition】Image Categorization with Spatial Mismatch Kernels

Zhiwu Lu:

Horace Ip:

【Scene recognition】Building text features for object image classification

PDF: https://netfiles.uiuc.edu/gwang6/www/WangHoiemForsyth_CVPR2009.pdf

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

Derek Hoiem and David Forsyth:

【Scene recognition】Multi-Label Sparse Coding for Automatic Image Annotation

PDF: http://www.lv-nus.org/papers/2009/2009_C_13.pdf

Changhu Wang:

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

Lei Zhang:

Hong-Jiang Zhang:

【Scene recognition】Linear Spatial Pyramid Matching Using Sparse Coding for Image Classification

Jianchao Yang: http://www.ifp.illinois.edu/~jyang29/

Kai Yu: http://idl.baidu.com/en/index.html

Yihong Gong:

Thomas Huang:

【Scene recognition】Simultaneous Image Classification and Annotation

PDF: http://people.ee.duke.edu/~lcarin/WangBleiFei-Fei_CVPR2009.pdf

Chong Wang:

David Blei:

Li Fei-Fei:

【Scene recognition】Multi-Class Active Learning for Image Classification

PDF: http://www-users.cs.umn.edu/~ajay/papers/final2.pdf

Ajay J. Joshi: http://www-users.cs.umn.edu/~ajay

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

Nikolaos Papanikolopoulos:

【Scene recognition】An Empirical Bayes Approach to Contextual Region Classification

PDF: http://www.cs.unc.edu/~lazebnik/publications/cvpr09.pdf

Svetlana Lazebnik: http://www.cs.unc.edu/~lazebnik/

Maxim Raginsky:

【Scene recognition】Image Categorization with Spatial Mismatch Kernels

Zhiwu Lu:

Horace Ip:

【Text recognition】Directed Assistance for Ink-Bleed Reduction in Old Documents

Zheng Lu:

Zheng Wu:

Michael Brown: http://www.comp.nus.edu.sg/~brown/

【Text recognition】Robust Unsupervised Segmentation of Degraded Document Images with Topic Models

Timothy Burns:

Jason Corso:

【Image retrieval】Pose Search: retrieving people using their pose

PDF: http://www.vision.ee.ethz.ch/~vferrari/Publications/ferrari09cvpr.pdf

Vittorio Ferrari: http://www.vision.ee.ethz.ch/~vferrari/publications.html

Manuel Marin-Jimenez:

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

【Image retrieval】Efficient Representation of Local Geometry for Large Scale Object Retrieval

Michal Perdoch:

Ondrej Chum:

Jiri Matas:

【Image retrieval】Bundling Features for Large Scale Partial-Duplicate Web Image Search

PDF: http://research.microsoft.com/pubs/80803/CVPR_2009_bundle.pdf

project: http://research.microsoft.com/en-us/projects/WISE/

Zhong Wu:

Qifa Ke: http://research.microsoft.com/en-us/people/qke/

Michael Isard: http://research.microsoft.com/en-us/people/misard/

Jian Sun: http://research.microsoft.com/en-us/um/people/jiansun/

【Image retrieval】Topology Dictionary with Markov Model for 3D Video Content-Based Skimming and Description

Tony Tung:

Takashi Matsuyama:

【Image retrieval】Vocabulary Hierarchy Optimization for Effective and Transferable Retrieval

PDF: http://vilab.hit.edu.cn/~rrji/index_files/1184.pdf

Rongrong Ji: http://vilab.hit.edu.cn/~rrji/

Xing Xie:

Hongxun Yao:

Wei-Ying Ma:

【Image retrieval】Label Diagnosis through Self Tuning for Web Image Search

Jun Wang:

Yu-Gang Jiang:

Shih-fu Chang:

【Image retrieval】Localized Content-Based Image Retrieval Through Evidence Region Identification

PDF: https://www.cse.ust.hk/~liwujun/paper/CVPR09_ecsvm.pdf

Wu-Jun Li:

Dit-Yan Yeung: http://www.cse.ust.hk/~dyyeung/www/Home.html

【Image retrieval】A Similarity Measure Between Vector Sequences with Application to Handwritten Word Image Retrieval

PDF: http://www-staff.lboro.ac.uk/~cojar/pubs/rodriguez_cvpr2009.pdf

José A. Rodriguez-Serrano: http://www-staff.lboro.ac.uk/~cojar

Florent Perronnin:

Josep Llados:

Gemma Sanchez:

【Image retrieval】Modeling Images as Mixtures of Reference Images

Florent Perronnin:

Yan Liu:

【Image retrieval】A Family of Contextual Measures of Similarity between Distributions with Application to Image Retrieval

PDF: http://www.robots.ox.ac.uk:5000/seminars/Extra/RRGSeminarSlides_Perronnin_March09.pdf

Florent Perronnin:

Yan Liu:

Jean-Michel Renders:

【Image retrieval】Imbalanced Rank Boost for Efficiently Ranking Large-Scale Image/Video Collections

Michele Merler:

Rong Yan:

John Smith:

【Image retrieval】Learning query-dependent prefilters for scalable image retrieval

Lorenzo Torresani:

Martin Szummer:

Andrew Fitzgibbon:

【3D modeling】Learning Similarity Measure for Multi-Modal 3D Image Registration

Daewon Lee:

Matthias Hofmann:

Florian Steinke:

Yasemin Altun:

Nathan Cahill:

Bernhard Schšlkopf:

【3D modeling】High Dynamic Range Image Reconstruction from Hand-held Cameras

PDF: http://www.csie.ntu.edu.tw/~cyy/publications/papers/Lu2009HDR.pdf

Pei-Ying Lu:

Tz-Huan Huang:

Meng-Sung Wu:

Yi-Ting Cheng:

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

【3D modeling】Visibility Constraints on Features of 3D Objects

PDF: http://people.cs.uchicago.edu/~klivans/cjk_visibility.pdf

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

Pedro Felzenszwalb: http://cs.brown.edu/~pff/

Ross Girshick: http://www.cs.berkeley.edu/~rbg/

David Jacobs:

Caroline Klivans: http://people.cs.uchicago.edu/~klivans

【3D modeling】A Multi-View Probabilistic Model for 3D Object Classes

Min Sun:

Hao Su:

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

Li Fei-Fei:

【3D modeling】The Geometry of 2D Image Signals

PDF: http://www.ks.informatik.uni-kiel.de/modules.php/name+Downloads,d_op+getit,lid+2313

Lennart Wietzke:

Gerald Sommer and Oliver Fleischmann:

【3D modeling】3D Reconstruction of Curved Objects from Single 2D Line Drawings

Yingze Wang:

Yu Chen:

Jianzhuang Liu:

Xiaoou Tang: http://mmlab.ie.cuhk.edu.hk/

【3D modeling】Capturing 3D Stretchable Surfaces from Single Images in Closed Form

PDF: http://cvlab.epfl.ch/publications/publications/2009/Moreno-NoguerSLF09.pdf

Francesc Moreno-Noguer:

Mathieu Salzmann:

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

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

【3D modeling】Continuous Ratio Optimization via Convex Relaxation with Applications to Multiview 3D Reconstruction

Kalin Kolev:

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

【3D modeling】Geometric Reasoning for Single Image Structure Recovery

PDF: http://www.ri.cmu.edu/pub_files/2009/6/cvpr09lee.pdf

project: http://www.cs.cmu.edu/~dclee/projects/scene.html

David Changsoo Lee:

Martial Hebert: http://www.cs.cmu.edu/~hebert/

Takeo Kanade:

【3D modeling】Linear stratified approach for 3D modeling and calibration using full geometric constraints

Jae-Hean Kim:

【3D modeling】Recovering Specular Surfaces Using Curved Line Images

Yuanyuan Ding:

Jingyi Yu:

Peter Sturm:

【3D modeling】Distributed Volumetric Scene Geometry Reconstruction With a Network of Distributed Smart Cameras

Shubao Liu:

Kongbin Kang:

Jean-Philippe Tarel:

David Cooper:

【3D modeling】From Structure-From-Motion Point Clouds to Fast Location Recognition

PDF: http://cs.unc.edu/~cmzach/pdf/cvpr2009b-preprint.pdf

Arnold Irschara:

Christopher Zach: http://cs.unc.edu/~cmzach

Jan-Michael Frahm:

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

【3D modeling】Dual Distributions of Multilinear Geometric Entities

PDF: http://www.ee.oulu.fi/~sbrandt/publications/cvpr2009.pdf

Sami Brandt: http://www.ee.oulu.fi/~sbrandt/

【3D modeling】A 3D Reconstruction Pipeline for Digital Preservation

Alexandre Vrubel:

Olga Bellon:

Luciano Silva:

【3D modeling】Efficient Reduction of L-infinity Geometry Problems

Hongdong Li:

【3D modeling】Building a database of 3D scenes from user annotations

PDF: http://people.csail.mit.edu/torralba/publications/LabelMe3D.pdf

project: http://people.csail.mit.edu/torralba/labelme/labelme3D.html

Bryan C. Russell:

Antonio Torralba: http://people.csail.mit.edu/torralba

【3D modeling】A Streaming Framework for Seamless Building Reconstruction from Large-Scale Aerial Li DAR Data

PDF: http://graphics.usc.edu/~qianyizh/papers/cvpr09_streaming.pdf

project: http://graphics.usc.edu/~qianyizh/projects/buildingreconstruction.html

Qian-Yi Zhou: http://graphics.usc.edu/~qianyizh/research.html

Ulrich Neumann: http://graphics.usc.edu/cgit/un.html

【3D modeling】Automatic Reconstruction of Cities from Remote Sensor Data

PDF: http://www.poullis.org/papers/poullis_cvpr2009.pdf

Charalambos Poullis: http://www.poullis.org/research.html

Suya You:

【3D modeling】Towards Geographical Referencing of Monocular SLAM Reconstruction Using 3D City Models: Application to Real-Time Accurate Vision-Based Localization

PDF: http://pierre.lothe.free.fr/Documents/CVPR09_Lothe_Bourgeois_Dekeyser_Royer_Dhome.pdf

Pierre Lothe: http://pierre.lothe.free.fr/

Steve Bourgeois:

Fabien Dekeyser:

Eric Royer:

Michel Dhome:

【3D modeling】Piecewise Planar City 3D Modeling from Street View Panoramic Sequences

Branislav Micusik:

Jana Kosecka: http://cs.gmu.edu/~kosecka/

【Feature matching】SIFT-Rank: Ordinal Description for Invariant Feature Correspondence

Matthew Toews:

William Wells:

【Feature matching】Picking the best DAISY

PDF: http://www.cs.ubc.ca/~mbrown/papers/cvpr2009.pdf

Simon Winder:

Gang Hua:

Matthew Brown: http://www.cs.ubc.ca/~mbrown/

【Feature matching】Automated Feature Extraction for Early Detection of Diabetic Retinopathy in Fundus Images

PDF: http://www.cse.iitm.ac.in/~amittal/dr-cvpr2009.pdf

Saiprasad Ravishankar:

Arpit Jain:

Anurag Mittal: http://www.cse.iitm.ac.in/~amittal

【Feature matching】A Collaborative Benchmark for Region of Interest Detection Algorithms

PDF: http://www.csie.ntu.edu.tw/~cyy/publications/papers/Huang2009ACB.pdf

Tz-Huan Huang:

Kai-Yin Cheng:

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

【Feature matching】Surface Feature Detection and Description with Applications to Mesh Matching

PDF: http://perception.inrialpes.fr/Publications/2009/ZBVH09/ZaharescuCVPR09.pdf

Andrei Zaharescu:

Edmond Boyer:

Kiran Varanasi:

Radu Horaud:

【Feature matching】Efficiently training a better visual detector with sparse Eigenvectors

Sakrapee Paisitkriangkrai:

Chunhua Shen:

Jian Zhang:

【Feature matching】On the burstiness of visual elements

PDF: http://lear.inrialpes.fr/pubs/2009/JDS09a/jegou_burstiness.pdf

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

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

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

【Feature matching】Unsupervised Feature Optimization

Leonid Karlinsky:

Michael Dinerstein:

Shimon Ullman:

【Feature matching】Learning Rotational Features for Filament Detection

PDF: http://cvlab.epfl.ch/publications/publications/2009/GonzalezFF09.pdf

German Gonzalez:

Francois Fleuret:

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

【Feature matching】Histogram-based Interest Point Detectors

PDF: http://740-2.cs.nthu.edu.tw/~htchen/hipd_cvpr09.pdf

Wei-Ting Lee:

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

【Feature matching】Learning Invariant Features Through Topographic Filter Maps

PDF: http://yann.lecun.com/exdb/publis/pdf/koray-cvpr-09.pdf

Koray Kavukcuoglu:

Marc’Aurelio Ranzato:

Rob Fergus: http://cs.nyu.edu/~fergus/

Yann Le Cun:

【Feature matching】Contextualizing Histogram

PDF: http://www.lv-nus.org/papers/2009/2009_C_11.pdf

Bingbing Ni:

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

Ashraf Kassim:

【Feature matching】Efficient Kernels for Identifying Unbounded-Order Spatial Features

Yimeng Zhang:

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

【Feature matching】Sigma Set: A Small Second Order Statistical Region Descriptor

Xiaopeng Hong:

Hong Chang:

Shiguang Shan:

Xilin Chen:

Wen Gao:

【Feature matching】Harris Corners in the Real World: A Principled Selection Criterion for Interest Points Based on Ecological Statistics

PDF: http://hal.inria.fr/docs/00/34/34/49/PDF/RR-6745.pdf

Bruce:

Neil:

【Feature matching】CHo G: Compressed Histogram of Gradients: A Low Bit-Rate Feature Descriptor

PDF: http://msw3.stanford.edu/~dchen/documents/CVPR2009_CHOG.pdf

Vijay Chandrasekhar:

Gabriel Takacs:

David Chen: http://msw3.stanford.edu/~dchen/

Sam Tsai:

Radek Grzeszczuk:

Bernd Girod:

【Feature matching】A Novel Feature Descriptor Invariant to Complex Brightness Changes

PDF: http://www.hpl.hp.com/techreports/2009/HPL-2009-71.pdf

Feng Tang:

Suk Hwan Lim:

Nelson Chang:

Hai Tao:

【Feature matching】SURFTrac: Efficient Tracking and Continuous Object Recognition using Local Feature Descriptors

PDF: http://research.nokia.com/files/wchen_cvpr09.pdf

Duy-Nguyen Ta:

Wei-Chao Chen: http://research.nokia.com/people/wei_chao_chen/

Natasha Gelfand:

Kari Pulli:

【Pose estimation】Markerless Motion Capture with Unsynchronized Moving Cameras

PDF: http://www.mpi-inf.mpg.de/~hasler/download/HasRosThoWanGalSei09Audio.pdf

Nils Hasler: http://www.mpi-inf.mpg.de/~hasler/index.html

Bodo Rosenhahn:

Thorsten Thormählen:

Michael Wand:

Juergen Gall: http://www.iai.uni-bonn.de/~gall/

Hans-Peter Seidel:

【Pose estimation】Vanishing Point Estimation by Self Similarity

Hadas Kogan:

Ron Maurer:

Renato Keshet:

【Pose estimation】Cooperative Mapping of Multiple PTZ Cameras in Automated Surveillance Systems

Chung-Hao Chen:

Yi Yao:

Anis Drira:

Andreas Koschan:

Mongi Abidi:

【Pose estimation】A minimal parameterization of the trifocal tensor

Klas Nordberg:

【Pose estimation】Visual loop closure detection using multi-resolution SIFT grids in metric-topological SLAM

Vivek Pradeep:

Gerard Medioni:

James Weiland:

【Pose estimation】What is a Camera?

PDF: http://www.di.ens.fr/willow/pdfs/cvpr09a.pdf

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

【Pose estimation】In Defense of Orthonormality Constraints for Nonrigid Structure from Motion

PDF: http://cvlab.lums.edu.pk/publications/Akhter_Sheikh_Khan_CVPR2009.pdf

Ijaz Akhter:

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

Sohaib Khan:

【Pose estimation】A Projector-Camera Setup for Geometry-Invariant Frequency Demultiplexing

PDF: http://www.cs.ucsb.edu/~daniel/publications/conferences/cvpr09/VaqueroCVPR09.pdf

project: http://www.cs.ucsb.edu/~daniel/publications/conferences/cvpr09/index.html

Daniel A. Vaquero: http://www.cs.ucsb.edu/~daniel

Ramesh Raskar: http://web.media.mit.edu/~raskar

Rogerio S. Feris: http://rogerioferis.com/

Matthew Turk: http://www.cs.ucsb.edu/~mturk

【Pose estimation】Beyond the Graphs: Semi-parametric Semi-supervised Discriminant Analysis

Fei Wang:

Xin Wang:

Tao Li:

【Pose estimation】Error Propagations for Local Bundle Adjustment

Alexandre Eudes:

Maxime Lhuillier:

【Pose estimation】Pose Estimation with Radial Distortion and Unknown Focal Length

Klas Josephson:

Martin Byršd:

【Pose estimation】Linear Embeddings in Non-Rigid Structure From Motion

Vincent Rabaud:

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

【Pose estimation】Uncalibrated Synthetic Aperture for Defocus Control

Natsumi Kusumoto:

Shinsaku Hiura:

Kosuke Sato:

【Pose estimation】Randomized Structure from Motion Based on Atomic 3D Models from Camera Triplets

Michal Havlena:

Akihiko Torii:

Jan Knopp:

Tomas Pajdla:

【Pose estimation】Trajectory Reconstruction for Affine Structure-from-Motion by Global and Local Constraints

Hanno Ackermann:

Bodo Rosenhahn:

【Pose estimation】Factorization for Non-Rigid and Articulated Structure using Metric Projections

Marco Paladini:

Alessio Del Bue:

Marko Sto_i_:

Marija Dodig:

Joao Xavier:

Lourdes Agapito:

【Stereo matching】Stereo Matching in the Presence of Sub-Pixel Calibration Errors

Heiko Hirschmueller:

Stefan Gehrig:

【Stereo matching】Mutual Information-based Stereo Matching Combined with SIFT Descriptor in Log-chromaticity Color Space

PDF: http://cv.snu.ac.kr/newhome/publication/pdf/conf/ic065.pdf

Yong Seok Heo:

Kyoung Mu Lee: http://cv.snu.ac.kr/new/home/?mid=professor

Sang Uk Lee:

【Stereo matching】Joint Depth and Alpha Matte Optimization via Fusion of Stereo and Time-of-Flight Sensor

Jiejie Zhu:

Miao Liao:

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

Zhigeng Pan:

【Stereo matching】Stereo Matching with Nonparametric Smoothness Priors in Feature Space

PDF: http://pages.cs.wisc.edu/~lizhang/projects/mvstereo/cvpr2009/SmithCVPR09.pdf

project: http://pages.cs.wisc.edu/~lizhang/projects/mvstereo/cvpr2009/

Brandon 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

【Stereo matching】Spatiotemporal Stereo via Spatiotemporal Quadric Element

PDF: http://www.cse.yorku.ca/~sizints/stequel_stereo/cvpr2009-STQ-camera-ready.pdf

project: http://www.cse.yorku.ca/vision/research/spatiotemporal-stereo-stequel.shtml

Mikhail Sizintsev: http://www.cse.yorku.ca/~sizints

Richard Wildes: http://www.cse.yorku.ca/~wildes

【Stereo matching】A Stereo Approach that Handles the Matting Problem via Image Warping

PDF: http://research.microsoft.com/pubs/80301/CVPR09_StereoMatting.pdf

Michael Bleyer:

Margrit Gelautz:

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

Christoph Rhemann:

【Stereo matching】Stereographic Rectification of Omnidirectional Stereo Pairs

Jan Heller:

Tomas Pajdla:

【Stereo matching】Manhattan-world Stereo

PDF: http://www.cs.washington.edu/homes/furukawa/papers/cvpr09-mws.pdf

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

Steve Seitz:

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

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

【Stereo matching】Towards high-resolution large-scale multi-view stereo

Vu Hoang Hiep:

Renaud Keriven:

Jean-Philippe Pons:

Patrick Labatut:

【Stereo matching】Active Stereo Tracking of Multiple Free-Moving Targets

Luis Perdigoto:

Joao Barreto:

Rui Caseiro:

Helder Araujo:

【Stereo matching】Photometric Stereo and Weather Estimation Using Internet Images

PDF: http://www.ece.nus.edu.sg/stfpage/eletp/Papers/cvpr09_outdoorps.pdf

Li Shen:

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

【Stereo matching】Depth from Sliding Projections

Chris Hermans: http://research.edm.uhasselt.be/~chermans/

Y.Francken:

T.Cuypers:

P.Bekaert:

【Stereo matching】Continuous Depth Estimation for Multi-view Stereo

PDF: http://media.au.tsinghua.edu.cn/Groupmembers/yebin.files/CVPR09-LiuYebin.pdf

dataset: http://media.au.tsinghua.edu.cn/cmvs.jsp

Yebin Liu: http://media.au.tsinghua.edu.cn/liuyebin.jsp

Xun Cao:

Qionghai Dai: http://media.au.tsinghua.edu.cn/people.jsp

Wenli Xu:

【Stereo matching】Bias Reduction for Stereo based Motion Estimation with Applications to Large Scale Visual Odometry

Gijs Dubbelman:

【Optical flow】Contextual Flow

PDF: http://www.ece.northwestern.edu/~yingwu/papers/conference/2009/CVPR2009a_ContextualFlow_final.pdf

Ying Wu: http://www.ece.northwestern.edu/~yingwu/

Jialue Fan:

【Optical flow】Large Displacement Optical Flow

PDF: http://www.cs.berkeley.edu/~brox/pub/brox_cvpr09.pdf

Thomas Brox: http://www.cs.berkeley.edu/~brox/

Christoph Bregler:

Jitendra Malik1:

【Optical flow】Learning General Optical Flow Subspaces for Egomotion Estimation and Detection of Motion Anomalies

PDF: http://www.cc.gatech.edu/~richard/media/Roberts2009cvpr_draft.pdf

project: http://www.cc.gatech.edu/~richard/UnsupFlow/

Richard Roberts: http://www.cc.gatech.edu/~richard/

Christian Potthast:

Frank Dellaert:

【Optical flow】Echocardiogram View Classification using Edge Filtered Scale-invariant Motion Features

PDF: http://www.cise.ufl.edu/~rkkumar/kumar2009a.pdf

Ritwik Kumar: http://www.cise.ufl.edu/~rkkumar/

Fei Wang:

David Beymer:

Tanveer Syeda-Mahmood:

【Optical flow】Learning Visual Flows: A Lie Algebraic Approach

Dahua Lin: http://dahua.me/

Eric Grimson:

John Fisher III:

【Optical flow】Continuous Maximal Flows and Wulff Shapes: Application to MRFs

PDF: http://cs.unc.edu/~cmzach/pdf/cvpr2009a-preprint.pdf

Christopher Zach: http://cs.unc.edu/~cmzach

Marc Niethammer:

Jan-Michael Frahm:

【Region matching】Optimization of Landmark Selection for Cortical Surface Registration

Anand Joshi:

David Shattuck:

Dimitrios Pantazis:

Quanzheng Li:

Hanna Damasio:

Richard Leahy:

【Region matching】Layered Graph Matching by Composite Cluster Sampling with Collaborative and Competitive Interactions

Liang Lin: http://ss.sysu.edu.cn/~ll/index.html

Kun Zeng:

Xiaobai Liu:

Song-Chun Zhu:

【Region matching】An Efficient Stochastic Approach to Groupwise Non-rigid Image Registration

Kirill Sidorov:

David Marshall:

Stephen Richmond:

【Region matching】Efficient image alignment using linear appearance models

Jose Gonzalez-Mora:

Fernando De la Torre:

Nicolas Guil:

Emilio Zapata:

【Region matching】Linear Solution to Scale and Rotation Invariant Object Matching

PDF: http://www.cs.bc.edu/~hjiang/cvpr09.pdf

Hao Jiang: http://www.cs.bc.edu/~hjiang/pub.html

Stella X. Yu:

【Region matching】A Robust Approach for Automatic Registration of Aerial Images with Untextured Aerial Li DAR Data

PDF: http://graphics.usc.edu/~luwang/pdf/lu_CVPR09.pdf

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

Ulrich Neumann:

【Image editing】A Unified Active and Semi-Supervised Learning Framework for Image Compression

Xiaofei He:

Ming Ji:

Hujun Bao:

【Image editing】Blind motion deblurring from a single image using sparse approximation

PDF: http://www.math.nus.edu.sg/~matzuows/blind_deblurring3.pdf

Jian-Feng Cai:

Hui Ji:

Chaoqiang Liu:

Zuowei Shen: http://www.math.nus.edu.sg/~matzuows/publist.html

【Image editing】Learning Semantic Visual Vocabularies Using Diffusion Distance

PDF: http://www.cs.ucf.edu/~liujg/papers/cvpr2009_liu_yang.pdf

Jingen Liu: http://www.cs.ucf.edu/~liujg

Yang Yang:

and Mubarak Shah:

【Image editing】Contextual Restoration of Severely Degraded Document Images

PDF: http://research.iiit.ac.in/~jyotirmoy/jyotirmoy Home_files/Publications/jyotirmoyCVPR2009.pdf

Jyotirmoy Banerjee: http://research.iiit.ac.in/~jyotirmoy/Jyotirmoy Home.htm

Anoop M. Namboodiri:

C.V. Jawahar:

【Image editing】Polarization: Beneficial for Visibility Enhancement?

PDF: http://www.ee.technion.ac.il/people/ttali/PolarizationBenefit.pdf

Tali Treibitz: http://www.ee.technion.ac.il/people/ttali/

Yoav Schechner:

【Image editing】Real-Time

PDF: http://vision.ai.uiuc.edu/~qyang6/publications/cvpr-09-qingxiong-yang.pdf

Qingxiong Yang: http://vision.ai.uiuc.edu/~qyang6/

Kar-Han Tan and Narendra Ahuja:

【Image editing】Relighting Objects from Image Collections PDF

Tom Haber:

Christian Fuchs:

Philippe Bekaert:

Hans-Peter Seidel:

Michael Goesele: http://www.gris.informatik.tu-darmstadt.de/~mgoesele/projects.html

Hendrik P. A. Lensch:

【Image editing】A Projector-based Movable Hand-held Display System

Man Chuen Leung:

Kai Ki Lee:

Kin Hong Wong:

Michael Ming Yuen Chang:

【Image editing】Facial Deblur Inference to Improve Recognition of Blurred Faces

Masashi Nishiyama:

Hidenori Takeshima:

Tatsuo Kozakaya:

Jamie Shotton: http://research.microsoft.com/en-us/groups/vision/default.aspx

Osamu Yamaguchi:

【Image editing】Multiple View Image Denoising

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

Sundeep Vaddadi:

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

Shree Nayar:

【Image editing】Image Deblurring and Denoising using Color Priors

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

project: http://research.microsoft.com/en-us/um/people/neel/two_color_deconvolution/

Neel Joshi: http://research.microsoft.com/en-us/um/people/neel

  1. Lawrence Zitnick:

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

David Kriegman:

【Image editing】Image Deblurring for Less Intrusive Iris Capturing Systems

Xinyu Huang:

Liu Ren:

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

【Image editing】High-quality curvelet-based motion deblurring using an image pair

PDF: http://www.math.nus.edu.sg/~matzuows/blind_deblurring2.pdf

Jian-Feng Cai:

Hui Ji:

Chaoqiang Liu:

Zuowei Shen: http://www.math.nus.edu.sg/~matzuows

【Image editing】Learning Real-Time MRF Inference for Image Denoising

PDF: http://stat.fsu.edu/~abarbu/papers/barbu_denoise_cvpr09.pdf

Adrian Barbu: http://stat.fsu.edu/~abarbu/

【Image editing】Adaptive Image and Video Retargeting Based on Fourier Analysis

Jun-Seong Kim:

Jin-Hwan Kim:

Chang-Su Kim:

【Image editing】Blind Separation of Superimposed Images with Unknown Motions

Kun Gai:

Zhenwei Shi:

Changshui Zhang:

【Image editing】Single Image Haze Removal Using Dark Channel Prior

PDF: http://research.microsoft.com/en-us/um/people/jiansun/papers/Dehaze_CVPR2009.pdf

Kaiming He: http://personal.ie.cuhk.edu.hk/~hkm007/

Jian Sun: http://research.microsoft.com/en-us/um/people/jiansun/

Xiaou Tang:

【Image editing】Understanding and evaluating blind deconvolution algorithms

PDF: http://www.wisdom.weizmann.ac.il/~levina/papers/deconvLevinEtalCVPR09.pdf

dataset: http://www.wisdom.weizmann.ac.il/~levina/papers/LevinEtalCVPR09Data.rar

Anat Levin: http://www.wisdom.weizmann.ac.il/~levina/

Yair Weiss:

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

William T. Freeman:

【Image editing】Geometric and Probabilistic Image Dissimilarity Measures for Common Field of View Detection

Marcel BrŸckner:

Ferid Bajramovic:

Joachim Denzler:

【Image editing】Single-Image Optical Center Estimation from Vignetting and Tangential Gradient Symmetry

PDF: http://zheng.vision.googlepages.com/opticalCenter_cvpr09.pdf

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

Chandra Kambhamettu:

Stephen Lin:

【Image editing】Coded Exposure Deblurring: Optimized Codes for PSF Estimation and Invertibility

PDF: http://www.cs.purdue.edu/homes/xu43/papers/cvpr09.pdf

Amit Agrawal: http://www.merl.com/people/agrawal/index.html

Yi Xu: http://www.cs.purdue.edu/homes/xu43/

【Image editing】Image hallucination with feature enhancement

Zhiwei Xiong:

Xiaoyan Sun:

Feng Wu:

【Image editing】Average of Synthetic Exact Filters

David Bolme:

Bruce Draper:

J Ross Beveridge:

【Image editing】Moving Cast Shadow Detection using Physics-based Features

Jia-Bin Huang:

Chu-Song Chen:

【Image editing】Planar Orientation from Blur Gradients in a Single Image

Scott Mc Closkey:

Michael Langer:

【Image editing】Super-Resolution via Recapture and Bayesian Effect Modeling

Neil Toronto:

Bryan Morse:

Kevin Seppi:

Dan Ventura:

【Image editing】Resolution-Invariant Image Representation and Its Applications

Jinjun Wang:

Shenghuo Zhu: http://www.nec-labs.com/~zsh/

Yihong Gong:

【Image editing】Removing Partial Blur in a Single Image

Shengyang Dai:

Ying Wu:

【Image editing】Optimal Single Image Capture for Motion Deblurring

PDF: http://www.umiacs.umd.edu/~aagrawal/cvpr09/OptimalCapture/AgrawalCVPR09OptimalCapture.pdf

Amit Agrawal: http://www.umiacs.umd.edu/~aagrawal/

Ramesh Raskar:

【Image editing】Real Time Learning of Accurate Patch Rectification

PDF: http://wwwnavab.in.tum.de/pub/hinterstoisser2009gepard/hinterstoisser2009gepard.pdf

Stefan Hinterstoisser:

Oliver Kutter:

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

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

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

【Texture analysis】Combining powerful local and global statistics for texture description

Yong Xu:

Sibin Huang:

Hui Ji:

Cornelia Fermuller:

【Texture analysis】Variational Layered Dynamic Textures

project: http://www.svcl.ucsd.edu/projects/dytex/

Antoni Chan: http://www.svcl.ucsd.edu/~abc/

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

【Texture analysis】View-Invariant Dynamic Texture Recognition using a Bag of Dynamical Systems

PDF: http://cis.jhu.edu/~avinash/papers/CVPR09-BOS.pdf

Avinash Ravichandran: http://cis.jhu.edu/~avinash/Publications.html

Rizwan Chaudhry:

Rene Vidal: http://cis.jhu.edu/~rvidal/

【Texture analysis】Material Classification using BRDF Slices

PDF: http://graphics.soe.ucsc.edu/publications/data/wango-brdfseg.pdf

project: http://users.soe.ucsc.edu/~owang/pub/brdfseg.html

Oliver Wang: http://users.soe.ucsc.edu/~owang/

Prabath Gunawardane:

Steven Scher:

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

【Illumation analysis】Learning Mappings for Face Synthesis from Near Infrared to Visual Light Images

Jie Chen:

Dong Yi:

Jimei Yang:

Guoying Zhao:

Stan Li:

Matti PietikŠinen:

【Illumation analysis】Manifold Discriminant Analysis

Ruiping Wang:

Xilin Chen:

【Illumation analysis】Learning Photometric Invariance from Diversified Color Model Ensembles

Jose Manuel Alvarez:

Theo Gevers:

Antonio Lopez:

【Illumation analysis】Illumination and Spatially Varying Specular Reflectance from a Single View

PDF: http://www.cs.drexel.edu/~kon/publication/KHara_CVPR09_preprint.pdf

Kenji Hara:

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

【Illumation analysis】Color Estimation from a Single Surface Color

PDF: http://www.cvl.iis.u-tokyo.ac.jp/~rei/publication/kawakami-cvpr2009.pdf

Rei Kawakami: http://www.cvl.iis.u-tokyo.ac.jp/~rei/publication/publication.html

Katsushi Ikeuchi:

【Illumation analysis】Robust Shadow and Illumination Estimation Using a Mixture Model

Alexandros Panagopoulos:

Dimitris Samaras:

Nikos Paragios:

【Illumation analysis】Angular Embedding: from Jarring Intensity Differences to Perceived Luminance

Stella Yu:

【Illumation analysis】A Nonparametric Riemannian Framework for Processing High Angular Resolution Diffusion Images

PDF: http://www.cis.jhu.edu/~alvina/papers/CVPR2009-HARDIprocessing.pdf

Alvina Goh: http://www.cis.jhu.edu/~alvina/papers/CVPR2009-HARDIprocessing.pdf

Christophe Lenglet:

Paul M. Thompson:

Rene Vidal: http://cis.jhu.edu/~rvidal/

【Illumation analysis】Interval HSV: Extracting Ink Annotations

John Femiani:

Anshuman Razdan:

【Illumation analysis】Catadioptric Projectors

PDF: http://vision.ai.uiuc.edu/~tankh/view_projection_cvpr09.pdf

Yuanyuan Ding:

Jing Xiao:

Kar-Han Tan: http://vision.ai.uiuc.edu/~tankh/

Jingyi Yu:

【Illumation analysis】Capturing Multiple Illumination Conditions using Time and Color Multiplexing

PDF: http://research.edm.uhasselt.be/bdedecker/cvpr09/timeAndColorMultiplexing.pdf

Bert De Decker: http://research.edm.uhasselt.be/bdedecker/

Jan Kautz:

Tom Mertens:

Philippe Bekaert:

【Illumation analysis】Mutual Information Based Registration of Optical and Ladar Images

Andrew Mastin:

Jeremy Kepner:

John Fisher III:

【Illumation analysis】

PDF: http://www.cs.cmu.edu/~mohitg/DefocusingOnGlobalLightTransport.pdf

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

Mohit Gupta: http://www.cs.cmu.edu/~mohitg

Yuandong Tian:

Srinivasa G. Narasimhan:

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

【Illumation analysis】A Projective Framework for Radiometric Image Analysis

PDF: http://www.ece.nus.edu.sg/stfpage/eletp/Papers/cvpr09_projective.pdf

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

Todd Zickler:

【Medical image】Constrained Marginal Space Learning for Efficient 3D Anatomical Structure Detection in Medical Images

Yefeng Zheng:

Bogdan Georgescu:

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

  1. Kevin Zhou:

Michael Scheuering:

Comaniciu Dorin:

【Medical image】A Robust Parametric Method for Bias Field Estimation and Segmentation of MR Images

Chunming Li:

Chris Gatenby:

Li Wang:

John Gore:

【Medical image】A Graph-based Approach to Skin Mole Matching Incorporating Template-Normalized Coordinates

PDF: http://www.cs.sfu.ca/~hamarneh/ecopy/cvpr2009.pdf

Hengameh Mirzaalian:

Ghassan Hamarneh: http://www.cs.sfu.ca/~hamarneh/bib/

Tim Lee:

【Medical image】Classification of Tensors and Fiber Tracts Using Mercer-Kernels Encoding Soft Probabilistic Spatial and Diffusion Information

Radhouene Neji:

Nikos Paragios:

Gilles FLEURY:

Jean-Philippe Thiran:

Georg Langs:

【Medical image】Noninvasive Volumetric Imaging of Cardiac Electrophysiology

Linwei Wang:

Heye Zhang:

Ken C. L. Wong:

Huafeng Liu:

Pengcheng Shi:

【Medical image】Wavelet Energy Map: A Robust Support for Multi-modal Registration of Medical Images

Olivier Pauly:

Nicolas Padoy:

Holger Poppert:

Lorena Esposito:

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

【Medical image】Tubular anisotropy for 2D vessels segmentation

Fethallah Benmansour:

Laurent Cohen:

Max Law:

Albert Chung:

【Data clustering】Learning Trajectory Patterns by Clustering: Experimental Studies and Comparative Evaluation

PDF: http://cvrr.ucsd.edu/bmorris/docs/morris_cvpr2009.pdf

Brendan Morris: http://cvrr.ucsd.edu/bmorris/index.html

Mohan Trivedi:

【Data clustering】Constrained Clustering via Spectral Regularization

Zhenguo Li:

Jianzhuang Liu:

Xiaoou Tang: http://mmlab.ie.cuhk.edu.hk/

【Data clustering】Trajectory Parsing by Cluster Sampling in Spatio-temporal Graph

Xiaobai Liu:

Liang Lin: http://ss.sysu.edu.cn/~ll/index.html

Song-Chun Zhu:

Hai Jin:

【Data clustering】Rank Priors for Continuous Non-Linear Dimensionality Reduction

PDF: http://rainsoft.de/publications/cvpr09.pdf

Andreas Geiger: http://rainsoft.de/publications.html

Raquel Urtasun: http://www.cs.toronto.edu/~urtasun/

Trevor Darrell: http://www.eecs.berkeley.edu/~trevor/

【Data clustering】Appearance-based Keypoint Clustering

PDF: http://cvlab.epfl.ch/publications/publications/2009/EstradaFLS09.pdf

Francisco J. Estrada:

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

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

Sabine Susstrunk:

【Data clustering】Intrinsic Mean Shift for Clustering on Stiefel and Grassmann Manifolds

PDF: http://cis.jhu.edu/~ertan/papers/CetingulCVPR09.pdf

Hasan Cetingul: http://www.cis.jhu.edu/~ertan/publications.htm

Rene Vidal: http://cis.jhu.edu/~rvidal/

【Data clustering】D – Clutter: Building object model library from unsupervised segmentation of cluttered scenes

PDF: http://vims.cis.udel.edu/publications/gowri_cvpr09.pdf

Gowri Somanath:

Rohith MV:

Dimitris Metaxas:

Chandra Kambhamettu:

【Data clustering】Sparse Subspace Clustering

Ehsan Elhamifar:

Rene Vidal: http://cis.jhu.edu/~rvidal/

【Data clustering】Fast Normalized Cut with Linear Constraints

Linli Xu:

Wenye Li:

Dale Schuurmans:

【Machine learning】Geometric min-Hashing: Finding a

PDF: http://cmp.felk.cvut.cz/~chum/papers/chum09cvpr.pdf

Ondrej Chum: http://cmp.felk.cvut.cz/~chum/Publ.htm

Michal Perdoch:

Jiri Matas:

【Machine learning】Image Registration by Minimization of Residual Complexity

PDF: http://www.bme.ogi.edu/~myron/publications/CVPR09_rc.pdf

Andriy Myronenko: http://www.bme.ogi.edu/~myron/publications/publications.html

Xubo Song:

【Machine learning】Hardware-Efficient Belief Propagation

PDF: http://mpac.ee.ntu.edu.tw/~chiakai/hebp/pdf/CYPR08_preprint.pdf

project: http://mpac.ee.ntu.edu.tw/~chiakai/hebp/

Chia-Kai Liang: http://mpac.ee.ntu.edu.tw/people/chiakai/

Chao-Chung Cheng: http://video.ee.ntu.edu.tw/~fury/

Yen-Chieh Lai:

Liang-Gee Chen: http://video.ee.ntu.edu.tw/~lgchen/

Homer H. Chen: http://www.ee.ntu.edu.tw/bio?id=60

【Machine learning】Volterrafaces: Discriminant Analysis using Volterra Kernels

PDF: http://www.cise.ufl.edu/~rkkumar/kumar2009.pdf

Ritwik Kumar: http://www.cise.ufl.edu/~rkkumar/

Arunava Banerjee:

Baba C. Vemuri:

【Machine learning】Early Spatiotemporal Grouping with a Distributed Oriented Energy Representation

PDF: http://www.cvr.yorku.ca/members/gradstudents/kosta/publications/file_CVPR2009_Derpanis_Wildes.pdf

project: http://www.cse.yorku.ca/vision/research/spatiotemporal-grouping-distributed-oriented-energy.shtml

dataset: http://www.cse.yorku.ca/vision/research/spacetime-grouping/

Konstantinos Derpanis: http://www.cse.yorku.ca/~kosta

Richard Wildes: http://www.cse.yorku.ca/~wildes

【Machine learning】Extraction of Tubular Structures over an Orientation Domain

PDF: http://hal.archives-ouvertes.fr/docs/00/36/55/99/PDF/CVPR.pdf

Mickael Pechaud:

Gabriel Peyre:

Renaud Keriven:

【Machine learning】Efficient Planar Graph Cuts with Applications in Computer Vision

PDF: http://www-cvpr.iai.uni-bonn.de/pub/pub/schmidt_et_al_cvpr09.pdf

Frank R. Schmidt:

Eno Töppe:

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

【Machine learning】Robust Multi-Class Transductive Learning with Graphs

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

Wei Liu: http://www.ee.columbia.edu/~wliu

Shih-fu Chang: http://www.ee.columbia.edu/~sfchang

【Machine learning】Multiplicative Nonnegative Graph Embedding

PDF: http://www.lv-nus.org/papers/2009/2009_C_14.pdf

Changhu Wang:

Zheng Song:

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

Lei Zhang:

Hong-Jiang Zhang:

【Machine learning】Learning Optimized MAP Estimates in Continuously-Valued MRF Models

PDF: http://www.cs.ucf.edu/~mtappen/pubs/cvpr09_learning_map.pdf

Kegan G. G. Samuel: http://www.eecs.ucf.edu/~kegan

Marshall F. Tappen: http://www.cs.ucf.edu/~mtappen/

【Machine learning】A Unified Model of Specular and Diffuse Reflectance for Rough, Glossy Surfaces

William Smith:

Edwin Hancock:

【Machine learning】Similarity Metrics and Efficient Optimization for Simultaneous Registration

Christian Wachinger:

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

【Machine learning】Sta RSa C: Stable Random Sample Consensus for Parameter Estimation

Jongmoo Choi:

Gerard Medioni:

【Machine learning】Active Learning for Large Multi-class Problems

PDF: http://research.microsoft.com/en-us/um/people/akapoor/papers/CVPR2009_Active.pdf

Prateek Jain:

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

【Machine learning】A Convex Relaxation Approach for Computing Minimal Partitions

PDF: http://gpu4vision.icg.tugraz.at/index.php?expand=c,c,c,c,c,e,&content=segmentation.php&id=23&field=Paper

Thomas Pock:

Antonin Chambolle:

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

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

【Machine learning】Global Connectivity Potentials for Random Field Models

PDF: http://www.kyb.mpg.de/publications/attachments/CVPR2009-Nowozin_%5b0%5d.pdf

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

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

【Machine learning】On the Set of Images Modulo Viewpoint and Contrast Changes

PDF: http://www.vision.cs.ucla.edu/papers/sundaramoorthiPVS09TR.pdf

Ganesh Sundaramoorthi:

Peter Petersen:

  1. S. Varadarajan:

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

【Machine learning】Unsupervised Learning for Graph Matching

PDF: http://www.ri.cmu.edu/pub_files/2009/6/2066.pdf

Marius Leordeanu: http://www.ri.cmu.edu/person.html?type=publications&person_id=1294

Martial Hebert: http://www.ri.cmu.edu/person.html?type=publications&person_id=109

【Machine learning】Unsupervised Maximum Margin Feature Selection with Manifold Regularization

Bin Zhao:

James Kwok:

Fei Wang:

Changshui Zhang:

【Machine learning】Learning a Distance Metric from Multi-instance Multi-label Data

Rong Jin:

Shijun Wang:

Zhi-Hua Zhou:

【Machine learning】Alphabet SOUP: A Framework for Approximate Energy Minimization

PDF: http://www.stanford.edu/~sgould/papers/cvpr09-alphabetSOUP.pdf

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

Fernando Amat:

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

【Machine learning】An Instance Selection Approach to Multiple Instance Learning

Zhouyu Fu:

Antonio Robles-Kelly:

【Machine learning】Learning from Ambiguously Labeled Images

PDF: http://www.seas.upenn.edu/~taskar/pubs/cvpr09.pdf

Timothee Cour:

Benjamin Sapp:

Chris Jordan:

Ben Taskar: http://www.seas.upenn.edu/~taskar/

【Machine learning】On Bias Correction for Geometric Parameter Estimation in Computer Vision

Takayuki Okatani:

Koichiro Deguchi:

【Machine learning】Regularized Multi-Class Semi-Supervised Boosting

PDF: http://www.ymer.org/papers/files/2009-RMSBoost.pdf

Amir Saffari:

Christian Leistner:

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

【Machine learning】Contextual Classification with Functional Max-Margin Markov Networks

Daniel Munoz:

James Bagnell:

Nicolas Vandapel:

Martial Hebert: http://www.cs.cmu.edu/~hebert/

【Machine learning】Reconstructing Sharply Folding Surfaces: A Convex Formulation

PDF: http://cvlab.epfl.ch/publications/publications/2009/Salzmann09.pdf

Mathieu Salzmann:

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

【Machine learning】Isometric Registration of Ambiguous and Partial Data

Art Tevs:

Martin Bokeloh:

Michael Wand:

Andreas Schilling:

Hans-Peter Seidel:

【Machine learning】Convexity and Bayesian Constrained Local Models

PDF: http://www.ulrichpaquet.com/Papers/CVPR09.pdf

Ulrich Paquet: http://www.ulrichpaquet.com/

【Machine learning】Projective Least-Squares: Global Solutions with Local Optimization

Carl Olsson:

Fredrik Kahl:

Richard Hartley:

【Machine learning】Domain Transfer SVM for Video Concept Detection

PDF: http://www3.ntu.edu.sg/home/dongxu/DTSVM.pdf

Lixin Duan:

Ivor W. Tsang:

Dong Xu: http://www3.ntu.edu.sg/home/dongxu

Stephen J. Maybank:

【Machine learning】Minimizing Sparse Higher Order Energy Functions of Discrete Variables

PDF: http://research.microsoft.com/pubs/80298/cvpr09-HoSparse.pdf

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

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

Wei Feng:

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

【Machine learning】Learning IMED via Translation Invariant Transformation

Bing Sun:

School of EECS:

Peking University):

Jufu Feng:

Liwei Wang:

【Machine learning】Markov Chain Monte Carlo Combined with Deterministic Methods for Markov Random Field Optimization

PDF: http://cv.snu.ac.kr/newhome/publication/pdf/conf/ic066.pdf

Wonsik Kim:

Kyoung Mu Lee: http://cv.snu.ac.kr/new/home/?mid=professor

【Machine learning】Fast Mean Shift

Daniel Freedman:

Pavel Kisilev:

【Machine learning】Nonnegative Matrix Factorization with Earth Mover’s Distance Metric

PDF: http://www.cs.technion.ac.il/people/romats/online-publications/SandlerL:09.pdf

Roman Sandler: http://www.cs.technion.ac.il/people/romats/

Michael Lindenbaum:

【Machine learning】An Implicit Markov Random Field Model for Natural Images in Multi-scale Oriented Representations

Siwei Lyu:

【Machine learning】Stochastic Gradient Kernel Density Mode-Seeking

Xiao-Tong Yuan:

Stan Li:

【Machine learning】A Tensor-Based Algorithm for High-Order Graph Matching

PDF: http://www.di.ens.fr/willow/pdfs/cvpr09d.pdf

Olivier Duchenne:

Francis Bach:

Inso Kweon:

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

【Machine learning】Stel component analysis

PDF: http://profs.sci.univr.it/~perina/papers/cvpr2009.pdf

Nebojsa Jojic:

Alessandro Perina: http://profs.sci.univr.it/~perina

Marco Cristani:

Vittorio Murino:

Brendan Frey:

【Machine learning】Compensation of Motion Artifacts in MRI via Graph-Based Optimization

Tung-Ying Lee:

Hong-Ren Su:

Shang-Hong Lai:

Ti-Chiun Chang:

【Machine learning】Nonrigid Registration Combining Global and Local Statistics

PDF: http://www.vision.cs.ucla.edu/papers/yiS09.pdf

Zhao Yi:

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

【Machine learning】Enforcing Integrability by Error Correction using $l_1$-minimization

PDF: http://www.umiacs.umd.edu/~aagrawal/cvpr09/SurfaceReconstructionUsingL1/ReddyCVPR09SurfaceReconstruction.pdf

Dikpal Reddy:

Amit Agrawal: http://www.umiacs.umd.edu/~aagrawal/

Rama Chellappa:

【Machine learning】Ensemble Manifold Regularization

Bo Geng:

Dacheng Tao:

Chao Xu:

Linjun Yang:

Xian-Sheng Hua:

【Machine learning】Structured Output-Associative Regression

PDF: http://sminchisescu.ins.uni-bonn.de/published/liefeng_cvpr09.pdf

Liefeng Bo:

Cristian Sminchisescu: http://sminchisescu.ins.uni-bonn.de/research/pub.php?list=sminchisescu

【Machine learning】Unsupervised Learning of Hierarchical Spatial Structures In Images

PDF: http://research.microsoft.com/en-us/um/people/larryz/SteinerCVPR2009.pdf

Devi Parikh: https://filebox.ece.vt.edu/~parikh/

  1. Lawrence Zitnick:

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

【Machine learning】Epitomized Priors for Multi-labeling Problems

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

Jonathan Warrell:

Simon J.D. Prince:

Alastair P. Moore:

【Machine learning】Symmetric Two Dimensional Linear Discriminant Analysis

Dijun Luo:

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

Heng Huang:

【Machine learning】Let the Kernel Figure it Out; Principled Learning of Pre-processing for Kernel Classifiers

PDF: http://www.kyb.mpg.de/publications/attachments/CVPR2009-gehler_%5b0%5d.pdf

Peter Gehler: http://www.kyb.tuebingen.mpg.de/~pgehler

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

【Machine learning】Co-training with noisy perceptual observations

PDF: http://research.microsoft.com/en-us/um/people/akapoor/papers/CVPR2009_CoTraining.pdf

  1. Mario Christoudias:

Raquel Urtasun: http://www.cs.toronto.edu/~urtasun/

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

Trevor Darrell: http://www.eecs.berkeley.edu/~trevor/

【Machine learning】Shared Kernel Information Embedding for Discriminative Inference

PDF: http://www.cs.brown.edu/~ls/Publications/cvpr2009sigal.pdf

Leonid Sigal: http://www.cs.brown.edu/~ls

Roland Memisevic:

David Fleet:

【Machine learning】Nonlinear Nonnegative Component Analysis

Stefanos Zafeiriou:

Maria Petrou:

【Machine learning】Beyond Pairwise Energies: Efficient Optimization for Higher-order MRFs

PDF: http://www.csd.uoc.gr/~komod/publications/docs/HighOrderMRFs_DualDecomposition_cvpr09a.pdf

Nikos Komodakis: http://www.csd.uoc.gr/~komod/publications/index.html

Nikos Paragios:

【Machine learning】Higher-Order Clique Reduction in Binary Graph Cut

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

code: http://hwm7.gyao.ne.jp/hihfs/software.html

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

【Deep learning】Stacks of Convolutional Restricted Boltzmann Machines for Shift-Invariant Feature Learning

PDF: http://www.cs.sfu.ca/~mori/research/papers/norouzi_cvpr09.pdf

Mohammad Norouzi:

Mani Ranjbar:

Greg Mori: http://www.cs.sfu.ca/~mori/research/