2010 CVPR

下面是2010CVPR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】Object-Graphs for Context-Aware Category Discovery

PDF: http://userweb.cs.utexas.edu/~grauman/papers/lee_objectgraph_cvpr2010.pdf

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

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

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

【Scene parsing】The Chains Model for Detecting Parts by Their Context

PDF: http://www.wisdom.weizmann.ac.il/~leonidk/publications/papers/chains_CVPR2010.pdf

Leonid Karlinsky: http://www.wisdom.weizmann.ac.il/~leonidk

Michael Dinerstein:

Daniel Harari:

Shimon Ullman:

【Scene parsing】3D Scene Priors for Road Detection

PDF: http://yoshi.cs.ucla.edu/upload/CVPR10/data/papers/0314.pdf

Jose M. Alvarez:

Theo Gevers:

Antonio M. Lopez:

【Scene parsing】Detecting and Parsing Architecture at City Scale from Range Data

PDF: http://www.seas.upenn.edu/~taskar/pubs/building_cvpr10.pdf

Alexander Toshev: http://www.seas.upenn.edu/~toshev/Site/About_Me.html

Philippos Mordohai:

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

【Scene parsing】What Helps Where – And Why? Semantic Relatedness for Knowledge Transfer

PDF: http://www.mis.tu-darmstadt.de/sites/default/files/rohrbach10cvpr_0.pdf

Marcus Rohrbach: http://www.mis.tu-darmstadt.de/user/33

Michael Stark:

Gy枚 Szarvas:

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

Iryna Gurevych:

【Scene parsing】Moving Vistas: Exploiting Motion for Describing Scenes

PDF: http://www.umiacs.umd.edu/~pturaga/papers/Vistas.pdf

Nitesh Shroff:

Pavan Turaga: http://www.umiacs.umd.edu/~pturaga

Rama Chellappa:

【Scene parsing】Tiered Scene Labeling with Dynamic Programming

PDF: http://people.cs.uchicago.edu/~pff/papers/dpseg9.pdf

Pedro Felzenszwalb: http://people.cs.uchicago.edu/~pff/papers/

Olga Veksler: http://www.csd.uwo.ca/faculty/olga/

【Scene parsing】Globally Optimal Pixel Labeling Algorithms for Tree Metrics

PDF: http://people.cs.uchicago.edu/~pff/papers/tree.pdf

Pedro Felzenszwalb: http://people.cs.uchicago.edu/~pff/papers/

Gyula Pap:

Eva Tardos:

Ramin Zabih: http://www.cs.cornell.edu/~rdz/

【Scene parsing】Towards Weakly Supervised Semantic Segmentation by Means of Multiple Instance and Multitask Learning

PDF: http://ethz.academia.edu/documents/0088/5412/PID1215927.pdf

Alexander Vezhnevets: http://www.inf.ethz.ch/personal/vezhneva/index.html

Joachim Buhmann:

【Scene parsing】Label Propagation in Video Sequences

PDF: http://mi.eng.cam.ac.uk/~ib255/files/label_propagation.pdf

Vijay Badrinarayanan: http://mi.eng.cam.ac.uk/~vb292/

Fabio Galasso:

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

【Scene parsing】Automatic Image Annotation Using Group Sparsity

PDF: http://www.research.rutgers.edu/~shaoting/paper/CVPR10_group_sparsity.pdf

Shaoting Zhang: http://www.research.rutgers.edu/~shaoting/

Junzhou Huang:

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

Dimitris Metaxas:

【Scene parsing】Semantic Context Modeling with Maximal Margin Conditional Random Fields for Automatic Image Annotation

PDF: http://vireo.cs.cityu.edu.hk/papers/yuxiang_cvpr10.pdf

Yu Xiang:

Xiangdong Zhou:

Zuotao Liu:

Tat-seng chuats:

Chong-Wah Ngo:

【Scene parsing】Topic Regression Multi-Modal Latent Dirichlet Allocation for Image Annotation

PDF: http://research.goldenmetallic.com/cvpr10.pdf

Duangmanee Putthividhya:

Hagai Attias:

Srikantan Nagarajan:

【Object segmentation】Detecting and Sketching the Common

PDF: http://www.wisdom.weizmann.ac.il/~bagon/pub/sketch_the_common.pdf

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

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

Or Brostovski:

Meirav Galun: http://www.wisdom.weizmann.ac.il/~meirav

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

【Object segmentation】Finding Dots: Segmentation as Popping out Regions from Boundaries

PDF: http://www.cs.bc.edu/~syu/publication/doc/dots10.pdf

Elena Bernardis:

Stella Yu: http://www.cs.bc.edu/~syu

【Object segmentation】Fast and Robust Object Segmentation with the Integral Linear Classifier

PDF: http://lear.inrialpes.fr/pubs/2010/ARTL10/aldavert_ILC.pdf

David Aldavert:

Arnau Ramisa:

Ricardo Toledo:

Ramon Lopez de Mantaras:

【Object segmentation】Object Cut: Complex 3D Object Reconstruction through Line Drawing Separation

Tianfan Xue:

Jianzhuang Liu:

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

【Object segmentation】Modeling Pixel Process with Scale Invariant Local Patterns for Background Subtraction in Complex Scenes

PDF: http://www.cbsr.ia.ac.cn/users/scliao/papers/Liao-CVPR10-BgSiLtp.pdf

Shengcai Liao:

Guoying Zhao:

Vili Kellokumpu:

Matti Pietik盲en:

Stan Li:

【Object segmentation】Warping Background Subtraction

PDF: http://vision.ucla.edu/papers/koES10.pdf

Teresa Ko:

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

Deborah Estrin:

【Object segmentation】Generalized Simultaneous Registration and Segmentation

PDF: http://www.ece.ucsb.edu/~pratim/papers/pratim_CVPR_2010.pdf

Pratim Ghosh:

Mehmet Emre Sargin:

B.S. Manjunath:

【Object segmentation】Discriminative Clustering for Image Co-segmentation

PDF: http://www.di.ens.fr/~joulin/article/egpaper_final.pdf

Armand Joulin: http://www.di.ens.fr/~joulin/

Francis Bach:

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

【Object segmentation】Unsupervised Detection and Segmentation of Identical Objects

PDF: http://cv.snu.ac.kr/publication/conf/2010/OCN_CVPR2010.pdf

Minsu Cho:

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

【Object segmentation】A Spatially Varying PSF-based Prior for Alpha Matting

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

Christoph Rhemann:

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/

Margrit Gelautz:

【Object segmentation】Simultaneous Foreground, Background, and Alpha Estimation for Image Matting

PDF: http://rivit.cs.byu.edu/~bprice/Matting.pdf

Bryan Price: http://rivit.cs.byu.edu/~bprice

Bryan Morse:

Scott Cohen:

【Object segmentation】Fast Matting Using Large Kernel Matting Laplacian Matrices

PDF: http://research.microsoft.com/en-us/um/people/jiansun/papers/CVPR10_FastMatting.pdf

Kaiming He: http://research.microsoft.com/en-us/um/people/kahe/

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

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

【Object segmentation】Parallel Graph-cuts by Adaptive Bottom-up Merging

PDF: http://research.microsoft.com/en-us/um/people/jiansun/papers/CVPR10_ParallelGC.pdf

Jiangyu Liu:

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

【Object segmentation】Transductive Segmentation of Live Video with Non-stationary Background

Zhong Fan:

Qin Xueying:

Peng Qunsheng:

【Object segmentation】Morphological Snakes

PDF: http://www.dia.fi.upm.es/~pcr/publications/cvpr2010.pdf

project: http://www.ipol.im/pub/algo/abmh_real_time_morphological_snakes_algorithm/

Luis Alvarez:

Luis Baumela:

Pedro Henriquez:

Pablo Marquez-Neila:

【Object segmentation】Heterogeneous Conditional Random Field: Realizing Joint Detection and Segmentation of Cell Regions in Microscopic Images

PDF: http://www.cs.cmu.edu/~jiyanpan/papers/cvpr10.pdf

Jiyan Pan:

Takeo Kanade:

【Object segmentation】Segmentation of Building Facades Using Procedural Shape Priors

PDF: http://vision.mas.ecp.fr/Personnel/teboul/files/cvpr10_teboul.pdf

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

Loic Simon:

Panagiotis Koutsourakis:

Nikos Paragios:

【Object segmentation】Layered Object Detection for Multi-Class Segmentation

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

Yi Yang: http://www.cs.cmu.edu/~yiyang/

Sam Hallman:

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

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

【Object segmentation】Geodesic Star Convexity for Interactive Image Segmentation

PDF: http://www.robots.ox.ac.uk/~varun/research/gsc.pdf

Varun Gulshan: http://www.robots.ox.ac.uk/~varun/index.shtml

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

Antonio Criminisi:

Andrew Blake:

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

【Object segmentation】Figure-Ground Segmentation Improves Handled Object Recognition in Egocentric Video

Xiaofeng Ren: http://www2.seattle.intel-research.net/~xren

Chunhui Gu:

【Object segmentation】Geodesic Graph Cut for Interactive Image Segmentation

PDF: http://rivit.cs.byu.edu/~bprice/GeodesicGraphCut.pdf

Brian Price: http://rivit.cs.byu.edu/~bprice

Bryan Morse:

Scott Cohen:

【Object segmentation】i Coseg: Interactive Co-segmentation with Intelligent Scribble Guidance

PDF: http://www.ece.cmu.edu/~dbatra/publications/assets/bkpcl_cvpr10.pdf

Dhruv Batra: http://www.ece.cmu.edu/~dbatra

Adarsh Kowdle:

Devi Parikh: https://filebox.ece.vt.edu/~parikh/

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

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

【Object segmentation】Variational Segmentation of Elongated Volumetric Structures

PDF: http://www.icg.tugraz.at/Members/reinbacher/1087.pdf

Christian Reinbacher: http://www.icg.tugraz.at/Members/reinbacher

Thomas Pock:

Christian Bauer:

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

【Object segmentation】Collect-Cut: Segmentation with Top-Down Cues Discovered in Multi-Object Images

PDF: http://userweb.cs.utexas.edu/~grauman/papers/lee_collectcut_cvpr2010.pdf

Yong Jae Lee:

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

【Object segmentation】Nonparametric Higher-Order Learning for Interactive Segmentation

PDF: http://cv.snu.ac.kr/publication/conf/2010/NHLIS_CVPR2010.pdf

Tae Hoon Kim:

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

Sang Uk Lee:

【Object segmentation】Finding Image Distributions on Active Curves

PDF: http://dig.lhsc.on.ca/members/Ismail/1687.pdf

Ismail Ben Ayed:

Amar Mitiche:

Mohamed Ben Salah:

Shuo Li:

【Object segmentation】A Shape-Driven MRF Model for the Segmentation of Organs in Medical Images

Deepak Chittajallu:

Ioannis Kakadiaris:

【Object segmentation】Constrained Parametric Min Cuts for Automatic Object Segmentation

PDF: http://sminchisescu.ins.uni-bonn.de/papers/cs-cvpr10.pdf

Jo茫Carreira:

Cristian Sminchisescu: http://sminchisescu.ins.uni-bonn.de/

Fuxin Li: http://www.cc.gatech.edu/~fli/

【Image segmentation】A probabilistic image jigsaw puzzle solver

PDF: http://people.csail.mit.edu/taegsang/Documents/JigsawSolver.pdf

project: http://people.csail.mit.edu/taegsang/JigsawPuzzle.html

Taeg Sang Cho:

Shai Avidan:

William T. Freeman:

【Image segmentation】Connecting Modalities: Semi-supervised Segmentation and Annotation of Images Using Unaligned Text Corpora

PDF: http://www.socher.org/uploads/Main/SocherFeiFei_CVPR2010.pdf

Richard Socher: http://www.socher.org/

Li Fei-Fei:

【Image segmentation】Learning Full Pairwise Affinities for Spectral Segmentation

PDF: http://cv.snu.ac.kr/publication/conf/2010/FNCUT_CVPR2010.pdf

Tae Hoon Kim:

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

Sang Uk Lee:

【Image segmentation】Isoperimetric Cut on a Directed Graph

Mo Chen:

Ming Liu:

Jianzhuang Liu:

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

【Image segmentation】”Lattice Cut” – Constructing superpixels using layer constraints

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

Alastair Moore: http://www.amooreucl.co.uk/

Simon Prince: http://web4.cs.ucl.ac.uk/research/vis/pvl/

【Image segmentation】A Diffusion Approach to Seeded Image Segmentation

PDF: http://www3.ntu.edu.sg/home/asjfcai/CVPR10-Diffusion.pdf

Juyong Zhang:

Jianmin Zheng:

Jianfei Cai: http://www3.ntu.edu.sg/home/asjfcai

【Image segmentation】Multi-domain, Higher Order Level Set Scheme for 3D Image Segmentation on the GPU

PDF: http://cvcweb.ices.utexas.edu/cvc/papers/2010/journal/cvpr-ojas-2048.pdf

Ojaswa Sharma:

Qin Zhang:

Fran莽s Anton:

Chandrajit Bajaj:

【Image segmentation】Learning Kernels for Normalized Cuts: Convex Relaxations and applications

Lopamudra Mukherjee:

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

Jiming Peng:

Chris Hinrichs:

【Image segmentation】Graph Cut Segmentation with a Global Constraint: Recovering Region Distribution via a Bound of the Bhattacharyya Measure – formely: Efficient image segmentation with a reference distribution

Ismail Ben Ayed:

Hua-mei Chen:

Kumaradevan Punithakumar:

Shuo Li:

【Video segmentation】Segmenting Video Into Classes of Algorithm-Suitability

PDF: http://cms.cs.ucl.ac.uk/fileadmin/visual/pubsFiles/algorithmSuitabilityFiles/algorithmSuitabilityCVPR2010.pdf

project: http://visual.cs.ucl.ac.uk/pubs/algorithmsuitability/

Oisin Mac Aodha: http://www.cs.ucl.ac.uk/staff/O.MacAodha/

Gabriel J Brostow: http://www.cs.ucl.ac.uk/staff/G.Brostow/

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

【Video segmentation】Efficient Hierarchical Graph-Based Video Segmentation

PDF: http://cpl.cc.gatech.edu/projects/videosegmentation/cvpr2010_videosegmentation.pdf

project: http://cpl.cc.gatech.edu/projects/videosegmentation/

Matthias Grundmann: http://www.mgrundmann.com/

Vivek Kwatra: http://www.google.com/research/pubs/author38000.html

Mei Han: http://research.google.com/pubs/author13553.html

Irfan Essa: http://www.irfanessa.com/

【Boundary detection】Linked Edges as Stable Region Boundaries

PDF: http://vh.icg.tugraz.at/publications/CVPR_2010_STABLE_EDGES.pdf

Michael Donoser: http://vh.icg.tugraz.at/index.php?content=overview.php

Hayko Riemenschneider:

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

【Boundary detection】Boundary Learning by Optimization with Topological Constraints

PDF: http://web.mit.edu/viren/www/pdf/JainEtal_CVPR10.pdf

Viren Jain: http://web.mit.edu/viren/www/

Benjamin Bollmann:

Bobby Kasthuri:

Ken Hayworth:

Richard Schalek:

Juan Carlos Tapia:

Daniel Berger:

Mark Richardson:

Kevin Briggman:

Moritz Helmstaedter:

Winfried Denk:

Jeff Lichtman:

Sebastian Seung:

【Boundary detection】Highly Accurate Boundary Detection and Grouping

PDF: http://www.mas.ecp.fr/vision/Personnel/iasonas/pubs/Kokkinos_boundary_detection_grouping_CVPR10.pdf

Iasonas Kokkinos: http://cvn.ecp.fr/personnel/iasonas/index.html

【Contour analysis】Convex Shape Decomposition

PDF: http://mc.eistar.net/Paper/CVPR2010_HRLIU.pdf

Liu Hairong:

Longin Jan Latecki:

Liu Wenyu:

【Contour analysis】Polynomial Shape from Shading

PDF: http://www.cs.toronto.edu/~adyecker/download/EckerJepsonPolySFS.pdf

Ady Ecker: http://www.cs.toronto.edu/~adyecker/

Allan Jepson:

【Contour analysis】Learning 3D Shape from a Single Facial Image via Non-linear Manifold Embedding and Alignment

PDF: http://www.vis.uky.edu/~xwang/facemodeling.pdf

Xianwang Wang:

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

【Contour analysis】Global and Local Isometry-Invariant Descriptor for 3D Shape Comparison and Partial Matching

PDF: http://yoshi.cs.ucla.edu/upload/CVPR10/data/papers/1309.pdf

Huai-Yu Wu:

【Contour analysis】3D Shape Correspondence by Isometry-Driven Greedy Optimization

PDF: http://home.ku.edu.tr/~ysahillioglu/pubs/corresp/3D Shape Correspondence by Isometry-Driven Greedy Optimization.pdf

Yusuf Sahillioglu: http://home.ku.edu.tr/~ysahillioglu/pubs/

Yucel Yemez:

【Contour analysis】On Growth and Formlets: Sparse Multi-Scale Coding of Planar Shape

PDF: http://www.oleskiw.ca/wp-content/uploads/2010/04/On-Growth-and-Formlets.pdf

Timothy Oleskiw:

James Elder: http://elderlab.yorku.ca/

Gabriel Peyr:

【Contour analysis】3D Shape Scanning with a Time-of-Flight Camera

PDF: http://ai.stanford.edu/~schuon/sr/cvpr10_scanning.pdf

Christian Theobalt:

Yan Cui:

Sebastian Schuon:

Sebastian Thrun:

Derek Chan:

【Contour analysis】Simultaneous Pose, Correspondence and Non-Rigid Shape

PDF: http://cvlab.epfl.ch/publications/publications/2010/Sanchez-RieraOFM10.pdf

Jordi Sanchez:

Jonas Ostlund:

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

Francesc Moreno-Noguer:

【Contour analysis】Shape and Refractive Index Recovery from Single-View Polarisation Images

PDF: http://users.cecs.anu.edu.au/~huynh/publications/huynh_robles-kelly_hancock_cvpr2010.pdf

Cong Phuoc Huynh:

Antonio Robles-Kelly:

Edwin Hancock:

【Contour analysis】A Novel Riemannian Framework for Shape Analysis of 3D Objects

PDF: http://stat.fsu.edu/~anuj/pdf/papers/Y2010/CVPR2010_Kurtek.pdf

Sebastian Kurtek:

Eric Klassen:

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

Zhaohua Ding:

【Contour analysis】Many-to-one Contour Matching for Describing and Discriminating Object Shape

PDF: http://www.cis.upenn.edu/~jshi/papers/cvpr_2010.pdf

Praveen Srinivasan:

Qihui Zhu:

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

【Contour analysis】Scale-Invariant heat kernel signatures for non-rigid shape recognition

PDF: http://visl.technion.ac.il/bron/publications/BroKokCVPR10.pdf

Michael Bronstein: http://visl.technion.ac.il/bron

Iasonas Kokkinos: http://cvn.ecp.fr/personnel/iasonas/index.html

【Contour analysis】Minimum length in the tangent bundle as a model for curve completion

PDF: http://www.cs.bgu.ac.il/~obs/Publications/cvpr2010.pdf

Guy Ben-Yosef:

Ohad Ben Shahar:

【Contour analysis】Two Perceptually Motivated Strategies for Shape Classification

PDF: http://www.cse.sc.edu/~songwang/document/cvpr10a.pdf

Andrew Temlyakov:

Brent Munsell:

Jarrell Waggoner:

Song Wang: http://www.cse.sc.edu/~songwang

【Contour analysis】Curious Snakes: A Minimum-Latency Solution to the Cluttered Background Problem in Active Contours

PDF: http://vision.ucla.edu/papers/sundaramoorthiSY10.pdf

Ganesh Sundaramoorthi:

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

Anthony Yezzi:

【Contour analysis】Metric-Induced Optimal Embedding for Intrinsic 3D Shape Analysis

PDF: http://yoshi.cs.ucla.edu/upload/CVPR10/data/papers/1401.pdf

Rongjie Lai:

Yonggang Shi:

Kevin Scheibel:

Scott Fears:

Roger Woods:

Arthur Toga:

Tony Chan:

【Contour analysis】Simultaneous Searching of Globally Optimal Interacting Surfaces with Shape Priors

PDF: http://www.engineering.uiowa.edu/~qsong/sqcvpr2010.pdf

Qi Song:

Xiaodong Wu:

Yunlong Liu:

Mona Garvin:

Milan Sonka:

【Object tracking】Monocular 3D pose estimation and tracking by detection

PDF: http://www.gris.informatik.tu-darmstadt.de/~sroth/pubs/cvpr10andriluka.pdf

dataset: http://www.mis.tu-darmstadt.de/node/428

Mykhaylo Andriluka:

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

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

【Object tracking】Dynamical Binary Latent Variable Models for 3D Human Pose Tracking

PDF: http://cs.nyu.edu/~gwtaylor/publications/cvpr2010/gwtaylor_cvpr2010.pdf

Graham Taylor: http://cs.nyu.edu/~gwtaylor

Leonid Sigal:

David Fleet:

Geoffrey Hinton: http://www.cs.toronto.edu/~hinton/

【Object tracking】Efficient Extraction of Human Motion Volumes by Tracking

PDF: http://vision.stanford.edu/documents/NieblesHanFeiFei_CVPR2010.pdf

Juan Carlos Niebles:

Bohyung Han:

Li Fei-Fei:

【Object tracking】Vehicle Detection and Tracking in Wide Field-of-View Aerial Video

Jianjian Xiao:

Hui Cheng:

Harpreet Sawhney:

Feng Han:

【Object tracking】Multi-Target Tracking by On-Line Learned Discriminative Appearance Models

PDF: http://iris.usc.edu/people/chenghak/download/Kuo_Huang_Nevatia_CVPR2010.pdf

Cheng-Hao Kuo:

Chang Huang:

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

【Object tracking】Tracking with Local Spatio-Temporal Motion Patterns in Extremely Crowded Scenes

PDF: http://www.cs.drexel.edu/~kon/publication/LKratz_CVPR10_preprint.pdf

Louis Kratz:

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

【Object tracking】AAM based Face Tracking with Temporal Matching and Face Segmentation

PDF: http://research.microsoft.com/en-us/um/people/jiansun/papers/CVPR10_FaceTrack.pdf

Mingcai Zhou:

Lin Liang:

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

Yangsheng Wang:

【Object tracking】PROST: Parallel Robust Online Simple Tracking

PDF: http://gpu4vision.icg.tugraz.at/papers/2010/santner_cvpr2010.pdf

project: http://gpu4vision.icg.tugraz.at/index.php?content=subsites/prost/prost.php

dataset: http://gpu4vision.icg.tugraz.at/subsites/prost/prost_dataset.rar

Jakob Santner: http://gpu4vision.icg.tugraz.at/

Christian Leistner: http://www.icg.tugraz.at/Members/leistner

Amir Saffari: http://www.ymer.org/amir/

Thomas Pock: http://www.icg.tugraz.at/Members/pock

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

【Object tracking】Player Localization Using Multiple Static Cameras for Sports Visualization

PDF: http://www.raffayhamid.com/hamid_cvpr2010.pdf

Raffay Hamid:

Ramkrishan Kumar:

Matthias Grundmann:

Kihwan Kim:

Irfan Essa:

Jessica Hodgins:

【Object tracking】An Online Approach: Learning-Semantic-Scene-by-Tracking and Tracking-by-Learning-Semantic-Scene

PDF: http://www.cis.pku.edu.cn/vision/Visual&Robot/people/songxuan/Papers/CVPR-Song.pdf

Xuan Song: http://www.cis.pku.edu.cn/vision/Visual&Robot/people/songxuan/English/Papers.htm

Xiaowei Shao:

Huijing Zhao:

Jinshi Cui:

Ryosuke Shibasaki:

Hongbin Zha: http://www.cis.pku.edu.cn/vision/3DVCR/3DVCR_E.html

【Object tracking】Tracking People Interacting with Objects

PDF: http://www.csc.kth.se/~hedvig/publications/cvpr_10.pdf

Hedvig Kjellstrom: http://www.csc.kth.se/~hedvig

Michael Black: http://ps.is.tue.mpg.de/person/black

Danica Kragic:

【Object tracking】Unified Real-Time Tracking and Recognition with Rotation-Invariant Fast Features

PDF: http://www.stanford.edu/~gtakacs/papers/CVPR2010_RIFF.pdf

Gabriel Takacs: http://www.stanford.edu/~gtakacs

Vijay Chandrasekhar:

Sam Tsai:

David Chen:

Radek Grzeszczuk:

Bernd Girod:

【Object tracking】Visual Tracking Decomposition

PDF: http://cv.snu.ac.kr/publication/conf/2010/VTD_CVPR2010.pdf

project: http://cv.snu.ac.kr/research/~vtd/index.html

Junseok Kwon:

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

【Object tracking】Tracking the Invisible: Learning Where the Object Might be

PDF: http://www.vision.ee.ethz.ch/~hegrabne/papers/Grabner2010TrackingTheInvisible.pdf

  1. Grabner: http://www.vision.ee.ethz.ch/~hegrabne
  2. Matas:
  3. Van Gool:
  4. Cattin:

【Object tracking】Real-time Tracking of Multiple Occluding Objects using Level Sets

Charles Bibby:

Ian Reid: http://www.robots.ox.ac.uk/~ian/

【Object tracking】Visual Tracking via Weakly Supervised Learning from Multiple Imperfect Oracles

PDF: http://www.cvpapers.com/papers/CVPR 2010_CameraReady_bnzhong_V8.pdf

Bineng Zhong:

Hongxun Yao:

Sheng Chen:

R.-R. Ji:

Xiaotong Yuan:

Shaohui Liu:

Wen Gao:

【Object tracking】Visual Tracking via Incremental Self-tuning Particle Filtering on the Affine Group

PDF: http://limin81.cn/CVPR10.pdf

Min Li:

Wei Chen:

Kaiqi Huang:

Tieniu Tan:

【Object tracking】Free-Form Mesh Tracking : a Patch-Based Approach

PDF: http://ar.in.tum.de/pub/cagniart2010CVPR/cagniart2010CVPR.pdf

Cedric Cagniart: http://campar.in.tum.de/Main/CedricCagniart

Edmond Boyer:

Slobodan Ilic:

【Object tracking】Rapid Selection of Reliable Templates for Visual Tracking

PDF: http://wwwnavab.in.tum.de/pub/hinterstoisser2010template/hinterstoisser2010template.pdf

Nicolas Alt:

Stefan Hinterstoisser: http://ar.in.tum.de/Main/StefanHinterstoisser

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

【Object tracking】A Probabilistic Framework for Joint Segmentation and Tracking

PDF: http://cobweb.ecn.purdue.edu/RVL/Publications/Aeschliman2010AProbabilistic.pdf

Chad Aeschliman:

Johnny Park:

Avi Kak:

【Object tracking】Novel Observation Model for Probabilistic Object Tracking

Dawei Liang:

Qingming Huang:

Hongxun Yao:

Shuqiang Jiang:

wen Gao:

【Object tracking】Adaptive Linear Predictors for Real-Time Tracking

PDF: http://ar.in.tum.de/Chair/PublicationDetail?pub=holzerst2010ALPs

  1. Holzer:
  2. Ilic:
  3. Navab:

【Object tracking】Multi-Target Tracking by On-Line Learned Discriminative Appearance Models

PDF: http://iris.usc.edu/people/chenghak/download/Kuo_Huang_Nevatia_CVPR2010.pdf

Cheng-Hao Kuo: http://iris.usc.edu/people/chenghak

Chang Huang:

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

【Object tracking】Abrupt Motion Tracking via Adaptive Stochastic Approximation Monte Carlo Sampling

Xiuzhuang Zhou:

yao Lu:

【Object tracking】Visual Object Tracking using Adaptive Correlation Filters

PDF: http://www.cs.colostate.edu/~bolme/publications/Bolme2010Tracking.pdf

David Bolme: http://www.cs.colostate.edu/~bolme/

J Ross Beveridge:

Bruce Draper:

Yui Man Lui:

【Object tracking】Multiple Dynamic Models for Tracking the Left Ventricle of the Heart from Ultrasound Data using Particle Filters and Deep Learning Architectures

PDF: http://omni.isr.ist.utl.pt/~gcarneiro/publications/cvpr10_heart_tracking.pdf

Gustavo Carneiro: http://users.isr.ist.utl.pt/~gcarneiro/publications.html

Jacinto Nascimento:

【Action recognition】Grouplet: a Structured Image Representation for Recognizing Human and Object Interactions

PDF: http://vision.stanford.edu/documents/YaoFei-Fei_CVPR2010a.pdf

Bangpeng Yao:

Li Fei-Fei:

【Action recognition】Modeling Mutual Context of Object and Human Pose in Human-Object Interaction Activities

PDF: http://vision.stanford.edu/documents/YaoFei-Fei_CVPR2010b.pdf

Bangpeng Yao:

Li Fei-Fei:

【Action recognition】Action Classification on Product Manifolds

PDF: http://www.cs.colostate.edu/~lui/Papers/cvprLUI2010.pdf

Yui Man Lui: http://www.cs.colostate.edu/~lui

J Ross Beveridge:

Michael Kirby:

【Action recognition】What’s going on? Discovering Spatio-Temporal Dependencies in Dynamic Scenes

PDF: http://www.vision.ee.ethz.ch/~calvin/Publications/kuettel-cvpr10.pdf

Daniel Kuettel:

Michael Breitenstein:

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

Vittorio Ferrari: http://groups.inf.ed.ac.uk/calvin/index.html

【Action recognition】[BEST STUDENT PAPER AWARD] Visual Event Recognition in Videos by Learning from Web Data

PDF: http://vc.sce.ntu.edu.sg/index_files/a-mkl.pdf

Lixin Duan:

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

Wai-Hung Tsang:

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

【Action recognition】Temporal Causality for the Analysis of Visual Events

PDF: http://www.cc.gatech.edu/~kprabhak/publications/cvpr2010.pdf

Karthir Prabhakar: http://www.cc.gatech.edu/~kprabhak/

Sangmin Oh:

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

Gregory Abowd:

James Rehg: http://www.cc.gatech.edu/~rehg/

【Action recognition】Efficient Action Spotting based on a Spacetime Oriented Structure Representation

PDF: http://www.cse.yorku.ca/vision/publications/action-spotting-cvpr2010.pdf

project: http://www.cse.yorku.ca/vision/research/action-spotting.shtml

Konstantinos Derpanis:

Mikhail Sizintsev:

Kevin Cannons:

Richard Wildes:

【Action recognition】Cross-Dataset Action Detection – formely: Adaptive Action Detection

Liangliang Cao: http://researcher.watson.ibm.com/researcher/view.php?person=us-liangliang.cao

Zicheng Liu:

Thomas Huang:

【Action recognition】Learning 3D Action Models from a few 2D videos for View Invariant Action Recognition

PDF: http://iris.usc.edu/people/viveksin/pubs/natarajan10dban.pdf

Pradeep Natarajan:

Vivek Singh:

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

【Action recognition】Exploiting Simple Hierarchies for Unsupervised Human Behavior Analysis

PDF: http://www.vision.ee.ethz.ch/~hegrabne/papers/Nater2010ExploitingSimpleHierarchies.pdf

Fabian Nater:

Helmut Grabner: http://www.vision.ee.ethz.ch/~hegrabne

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

【Action recognition】Recognizing Human Actions from Still Images with Latent Poses

PDF: http://www.sfu.ca/~wya16/Weilong_CVPR10.pdf

Weilong Yang: http://www.sfu.ca/~wya16

Yang Wang:

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

【Action recognition】Learning a Hierarchy of Discriminative Space-Time Neighborhood Features for Human Action Recognition

PDF: http://userweb.cs.utexas.edu/~grauman/papers/kovashka_cvpr2010.pdf

Adriana Kovashka:

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

【Action recognition】A Hough Transform-Based Voting Framework for Action Recognition

PDF: http://www.vision.ee.ethz.ch/~gallju/download/jgall_HoughAR_cvpr10.pdf

Angela Yao:

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

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

【Action recognition】Spike Train Driven Dynamical Models for Human Actions

PDF: http://vision.ucla.edu/papers/raptisWS10.pdf

project: http://vision.ucla.edu/~mraptis/spikes

Michalis Raptis:

Kamil Wnuk:

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

【Action recognition】Learning Shift-Invariant Sparse Representation of Actions

PDF: http://www.ece.umd.edu/~liyi/publication/YiLi_Paper3_ShiftInvariantSparseRepresentationOfActionSegments_CVPR10.pdf

Yi Li: http://www.ece.umd.edu/~liyi/

【Action recognition】Action Unit Detection with Segment-based SVMs

PDF: http://www.andrew.cmu.edu/user/tsimon/review/segsvm.pdf

Tomas Simon: http://www.andrew.cmu.edu/user/tsimon/

Nguyen Minh:

Fernando De la Torre:

Jeff Cohn:

【Action recognition】CRAM: Compact Representation of Actions in Movies

PDF: http://server.cs.ucf.edu/~vision/papers/cvpr2010/315.pdf

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

【Crowd analysis】Trajectory Matching from Unsynchronized Videos

PDF: http://ivg.au.tsinghua.edu.cn/people/~HanHu/TrajectoryMatching_CVPR2010.pdf

Han Hu:

Jie Zhou: http://ivg.au.tsinghua.edu.cn/index_en.aspx

【Crowd analysis】Chaotic Invariants of Lagrangian Particle Trajectories for Anomaly Detection in Crowded Scenes

PDF: http://www.eecs.ucf.edu/~sdwu/papers/Shandong_CVPR2010.pdf

Shandong Wu: http://www.eecs.ucf.edu/~sdwu/

【Crowd analysis】Localizing Non-Overlapping Surveillance Cameras under the L-Infinity Norm

PDF: http://www.cat-project.at/CMS/joomla/images/stories/articles/micusik-pflugfelder-cvpr10.pdf

Branislav Micusik:

Roman Pflugfelder:

【Human detection】Fast Globally Optimal 2D Human Detection with Loopy Graph Models

PDF: http://cs-people.bu.edu/tian/publication/tech_report_BUCS_TR_2010_007.pdf

Tai-Peng Tian: http://cs-people.bu.edu/tian/

Stan Sclaroff:

【Human detection】Cascaded L1-norm Minimization Learning

PDF: http://coe.gucas.ac.cn/SDL-HomePage/publication/201052514412873499.pdf

Ran Xu:

Baochang Zhang:

Qixiang Ye:

jian bin Jiao:

【Human detection】Learning Appearance in Virtual Scenarios for Pedestrian Detection

PDF: http://www.cvc.uab.es/adas/publications/marin_cvpr2010.pdf

dataset: http://www.cvc.uab.es/adas/index.php?section=other_datasets

Francisco Marin Tur:

David Vazquez:

David Geronimo:

Antonio M. Lopez:

【Human detection】Human Identity Recognition in Aerial Images

PDF: http://www.cs.ucf.edu/~oreifej/papers/WRM_CVPR2010.pdf

project: http://www.cs.ucf.edu/~oreifej/WRM.html

Omar Oreifej: http://www.cs.ucf.edu/~oreifej

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

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

【Human detection】Integrated Pedestrian Classification and Orientation Estimation

PDF: http://lookingatpeople.com/Publications/cvpr10_orientation.pdf

Markus Enzweiler: http://www.markus-enzweiler.de/docs/publications.html

Dariu Gavrila:

【Human detection】Multi-Cue Pedestrian Classification with Partial Occlusion Handling

PDF: http://lookingatpeople.com/Publications/cvpr10_occlusion.pdf

Markus Enzweiler: http://www.markus-enzweiler.de/docs/publications.html

Angela Eigenstetter:

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

Dariu Gavrila:

【Human detection】Talking Pictures: Temporal Grouping and Dialog-Supervised Person Recognition

PDF: http://www.seas.upenn.edu/~timothee/papers/cvpr_2010.pdf

Timothee Cour: http://www.seas.upenn.edu/~timothee/

Ben Sapp: http://www.seas.upenn.edu/~bensapp/

Akash Nagle:

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

【Human detection】New Features and Insights for Pedestrian Detection

PDF: http://www.jdl.ac.cn/project/faceId/paperreading/Paper/hyren_20100507.pdf

Stefan Walk:

Nikodem Majer:

Konrad Schindler:

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

【Human parsing】Adaptive Pose Priors for Pictorial Structures

PDF: http://www.seas.upenn.edu/~bensapp/papers/aps_cvpr2010.pdf

project: http://www.vision.grasp.upenn.edu/video/

Benjamin Sapp: http://www.seas.upenn.edu/~bensapp/

Chris Jordan:

Ben Taskar:

【Human parsing】Contour People: A Parameterized Model of 2D Articulated Human Shape

PDF: http://www.cs.brown.edu/~black/Papers/freifeldCVPR10.pdf

Oren Freifeld: http://www.dam.brown.edu/people/freifeld/index.htm

Alex Weiss:

Silvia Zuffi:

Michael Black: http://www.cs.brown.edu/~black

【Human parsing】Multisensor-Fusion for 3D Full-Body Human Motion Capture

dataset: http://www.tnt.uni-hannover.de/project/MPI08_Database/

Gerard Pons-Moll:

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

Thomas Helten:

Meinard Mueller:

Hans-Peter Seidel:

Bodo Rosenhahn:

【Human parsing】An Object-Dependent Hand Pose Prior from Sparse Training Data

PDF: http://www.vision.ee.ethz.ch/~gallju/download/jgall_handposeprior_cvpr10.pdf

Henning Hamer:

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

Thibaut Weise:

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

【Human parsing】Silhouette Transformation based on Walking Speed for Gait Identification

PDF: http://www.am.sanken.osaka-u.ac.jp/~makihara/pdf/cvpr2010.pdf

Yasushi Makihara:

Akira Tsuji:

Yasushi Yagi:

【Human parsing】Multilinear Pose and Body Shape Estimation of Dressed Subjects from Image Sets

PDF: http://www.mpi-inf.mpg.de/~hasler/download/HasAckRosThoSei10Factorization.pdf

  1. Hasler:
  2. Ackermann:
  3. Rosenhahn:
  4. Thorm盲hlen: http://www.mpi-inf.mpg.de/~thormae/

H.-P. Seidel:

【Human parsing】The Multiscale Competitive Code via Sparse Representation for Palmprint Verification

PDF: http://research.microsoft.com/en-us/um/people/zhoulin/Publications/2010-CVPR-Palm.pdf

Wangmeng Zuo:

Zhouchen Lin: http://research.microsoft.com/en-us/um/people/zhoulin

Zhenhua Guo:

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

【Human parsing】Gesture Recognition by Learning Local Motion Signatures

PDF: http://www-sop.inria.fr/members/Francois.Bremond/Postscript/BechaCVPR2010.pdf

Mohamed-Becha Kaaniche:

Francois Bremond: http://www-sop.inria.fr/members/Francois.Bremond/topicsText/myPublications.html

【Face recognition】Person Re-Identification by Symmetry-Driven Accumulation of Local Features

PDF: http://profs.sci.univr.it/~cristanm/Publications_files/CVPR2010_Cristani.pdf

Michela Farenzena:

Loris Bazzani:

Alessandro Perina:

Vittorio Murino:

Marco Cristani:

【Face recognition】Face Recognition Based on Image Sets

PDF: http://www2.ogu.edu.tr/~mlcv/pdf/face_manifold_distances.pdf

Hakan Cevikalp:

Bill Triggs:

【Face recognition】3D Morphable Model Construction for Robust Ear and Face Recognition

PDF: http://www.johndavidbustard.com/CVPR2010.pdf

project: http://www.johndavidbustard.com/mmconst.html

John Bustard: http://www.johndavidbustard.com/

Mark Nixon:

【Face recognition】Bimodal Gender Recognition from Face and Fingerprint

Xiong Li:

Xu Zhao:

Yun Fu:

Yuncai Liu:

【Face recognition】Towards General Motion-Based Face Recognition

PDF: http://www.comp.nus.edu.sg/~yening/mysite/Projects_files/mbfr_cvpr2010.pdf

project: http://www.comp.nus.edu.sg/~yening/mysite/CDFS.html

Ning Ye: http://www.comp.nus.edu.sg/~yening/mysite/Welcome.html

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

【Face recognition】Morphable Reflectance Fields for Enhancing Face Recognition

PDF: http://people.seas.harvard.edu/~rkkumar/kumar2010.pdf

Ritwik Kumar: http://people.seas.harvard.edu/~rkkumar

Michael Jones: http://www.merl.com/people/mjones/

Tim Marks: http://www.merl.com/people/?user=tmarks

【Face recognition】An Extension of Multifactor Analysis for Face Recognition Based on Submanifold Learning

Sung Won Park:

Marios Savvides:

【Face recognition】Cost-Sensitive Subspace Learning for Face Recognition

Jiwen Lu:

Tan Yap-Peng:

【Face recognition】A Novel Markov Random Field Based Deformable Model for Face Recognition

PDF: http://www.cs.ust.hk/~achung/cvpr10_liao_chung.pdf

Shu Liao:

Albert C.S. Chung:

【Face recognition】Discriminative K-SVD for Dictionary Learning in Face Recognition

Qiang Zhang:

Baoxin Li:

【Face recognition】Adaptive Generic Learning for Face Recognition from a Single Sample per Person

Yu Su:

Shiguang Shan:

Xilin Chen:

wen Gao:

【Face recognition】Face Recognition with Learning-based Descriptor

PDF: http://research.microsoft.com/en-us/um/people/jiansun/papers/CVPR10_FaceReco.pdf

Zhimin Cao:

Qi Yin:

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

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

【Face recognition】Bidirectional relighting for 3D-aided 2D Face Recognition – formely: 3D-aided 2D Face Recognition

George Toderici:

George Passalis:

Stefanos Zafireiou:

Georgios Tzimiropoulos:

Maria Petrou:

Theoharis Theoharis:

Ioannis Kakadiaris:

【Face recognition】Rapid Face Recognition Using Hashing

PDF: http://users.cecs.anu.edu.au/~qshi/pub/ShiLiShe10.pdf

Qinfeng Shi: http://users.cecs.anu.edu.au/~qshi/

Hanxi Li:

Chunhua Shen:

【Face parsing】Unsupervised Discovery of Facial Events – formely: Unsupervised Discovery of Facial Events: Learning a Dynamic Vocabulary for Facial Analysis

Feng Zhou:

Fernando De la Torre:

Jeff Cohn:

【Face parsing】Removal of 3D Face Expressions: A Learning-based Approach

Song Han:

Gang Pan:

Yuting Zhang:

【Face parsing】Multi-Task Warped Gaussian Process for Personalized Age Estimation

PDF: http://repository.ust.hk/dspace/bitstream/1783.1/6695/1/multi_taskw.pdf

Yu Zhang: http://www.comp.hkbu.edu.hk/~yuzhang/

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

【Face parsing】Exploring Facial Expression with Compositional Features

Peng Yang:

Qingshan Liu:

Metaxas Dimitris:

【Face parsing】Calibration-free gaze sensing using saliency maps

PDF: http://www.hci.iis.u-tokyo.ac.jp/~sugano/media/papers/sugano_cvpr2010.pdf

Yusuke Sugano: http://www.hci.iis.u-tokyo.ac.jp/~sugano/

Yasuyuki Matsushita:

Yoichi Sato:

【Face parsing】Automatic Point-based Facial Trait Judgments Evaluation

Mario Rojas:

David Masip:

jordi Vitria:

【Face parsing】Facial Point Detection using Boosted Regression and Graph Models

PDF: http://cmtech.upf.edu/wp-content/uploads/2009/05/valstar-martinez-binefa-pantic-facial-point-detection-using-boosted-regression-and-graph-models.pdf

Michel Valstar:

Brais Martinez:

Xavier Binefa:

Maja Pantic: http://ibug.doc.ic.ac.uk/research

【Face parsing】Unsupervised Discovery of Facial Events – formely: Unsupervised Discovery of Facial Events: Learning a Dynamic Vocabulary for Facial Analysis

Feng Zhou:

Fernando De la Torre:

Jeff Cohn:

【Object recognition】Automatic discovery of meaningful object parts with latent CRFs

PDF: http://www.gris.informatik.tu-darmstadt.de/~sroth/pubs/cvpr10schnitzspan.pdf

Paul Schnitzspan:

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

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

【Object recognition】Exploiting Hierarchical Context on a Large Database of Object Categories

PDF: http://people.csail.mit.edu/lim/paper/cltw_cvpr10.pdf

project: http://web.mit.edu/~myungjin/www/HContext.html

Myung Jin Choi: http://www.mit.edu/~myungjin/

Joseph Lim: http://people.csail.mit.edu/lim

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

【Object recognition】Learning to Recognize Shadows in Monochromatic Natural Images

PDF: http://www.eecs.ucf.edu/~mtappen/pubs/cvpr10_shadow.pdf

Jiejie Zhu:

Kegan Samuel:

Syed Zain Masood:

Marshall Tappen: http://www.eecs.ucf.edu/~mtappen/

【Object recognition】On the design of robust classifiers for computer vision

PDF: http://www.svcl.ucsd.edu/publications/conference/2010/cvpr2010/CVPR2010_TangentBoost_WithAuthors.pdf

Hamed Masnadi-Shirazi: http://www.svcl.ucsd.edu/~hmasnadi/

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

Vijay Mahadevan:

【Object recognition】Visual Recognition using Mappings that Replicate Margins

PDF: http://www.cs.tau.ac.il/~wolf/mrmweb/mrm.pdf

Lior Wolf:

Nathan Manor:

【Object recognition】You Tube Cat: Learning to Categorize Wild Web Videos

PDF: http://www.sanjivk.com/YouTubeCat_CVPR10.pdf

Zheshen Wang:

Ming Zhao:

Yang Song:

Sanjiv Kumar:

Baoxin Li:

【Object recognition】Model Globally, Match Locally: Efficient and Robust 3D Object Recognition

PDF: http://ar.in.tum.de/Chair/PublicationDetail?pub=drost2010CVPR

  1. Drost:

Markus Ulrich:

  1. Navab:
  2. Ilic:

【Object recognition】Visual Recognition and Detection Under Bounded Computational Resources

PDF: http://userweb.cs.utexas.edu/~svnaras/papers/vijayanarasimhan_kapoor_cvpr2010.pdf

Sudheendra Vijayanarasimhan: http://userweb.cs.utexas.edu/~svnaras

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

【Object recognition】Global and Efficient Self-Similarity for Object Classification and Detection

PDF: http://thomas.deselaers.de/publications/files/deselaers-cvpr10.pdf

Thomas Deselaers: http://thomas.deselaers.de/publications/

Vittorio Ferrari: http://groups.inf.ed.ac.uk/calvin/index.html

【Object recognition】Scale-Hierarchical 3D Object Recognition in Cluttered Scenes

PDF: http://www.cs.drexel.edu/~kon/publication/PBariya_CVPR10_preprint.pdf

Prabin Bariya:

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

【Object recognition】3D Model Based Vehicle Classification in Aerial Imagery

Saad Khan:

Hui Cheng:

Harpreet Sawhney:

Dennis Matthies:

【Object recognition】Object Recognition as Ranking Holistic Figure-Ground Hypotheses

PDF: http://sminchisescu.ins.uni-bonn.de/papers/cls-cvpr10.pdf

Fuxin Li: http://www.cc.gatech.edu/~fli/

Jo茫Carreira:

Cristian Sminchisescu: http://sminchisescu.ins.uni-bonn.de/

【Object recognition】Robust Classification of Objects, Faces, and Flowers Using Natural Image Statistics

PDF: http://cseweb.ucsd.edu/users/gary/pubs/robust-classification-final.pdf

project: http://www.chriskanan.com/nimble

Christopher Kanan: http://www.chriskanan.com/

Garrison Cottrell: http://cseweb.ucsd.edu/users/gary/

【Object recognition】Learning Mid-Level Features For Recognition

PDF: http://www.di.ens.fr/willow/pdfs/cvpr10c.pdf

Y-Lan Boureau:

Francis Bach:

Yann Le Cun:

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

【Object recognition】Object recognition by discriminative combinations of line segments and ellipses

Alex Chia:

Deepu Rajan:

Maylor Leung:

Susanto Rahardja:

【Object recognition】Food Recognition Using Statistics of Pairwise Local Features

PDF: http://www.cs.cmu.edu/~rahuls/pub/cvpr2010-food-rahuls.pdf

Shulin Yang:

Mei Chen:

Dean Pomerleau:

Rahul Sukthankar: http://www.cs.cmu.edu/~rahuls/pub/

【Object recognition】Learning a Probabilistic Model Mixing 3D and 2D Primitives for View Invariant Object Category Recognition

PDF: http://www.stat.ucla.edu/~wzhu/publications/HuCVPR2010.pdf

Wen Ze Hu:

Song-Chun Zhu:

【Object recognition】The Role of Features, Algorithms and Data in Visual Recognition

PDF: http://ttic.uchicago.edu/~dparikh/Publications/ParikhZitnick_CVPR2010_FAD.pdf

Devi Parikh: http://ttic.uchicago.edu/~dparikh/

Larry Zitnick:

【Object recognition】Asymmetric Region-to-Image Matching for Comparing Images with Generic Object Categories

PDF: http://userweb.cs.utexas.edu/~grauman/papers/kim_cvpr2010.pdf

Jaechul Kim:

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

【Object recognition】Attribute-Centeric Recognition for Cross-category Generalization

PDF: http://www.cs.uiuc.edu/homes/iendres2/publications/cvpr2010_att.pdf

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

Ian Endres:

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

【Object recognition】Making specific features less discriminative to improve point-based 3D object recognition

PDF: http://www.cs.cmu.edu/~ehsiao/ehsiao_cvpr10.pdf

Edward Hsiao: http://www.cs.cmu.edu/~ehsiao/

Alvaro Collet:

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

【Object recognition】Optimizing One-Shot Recognition with Micro-Set Learning

PDF: http://www.cs.cmu.edu/~rahuls/pub/cvpr2010-oneshot-rahuls.pdf

Kevin Tang:

Marshall Tappen:

Rahul Sukthankar: http://www.cs.cmu.edu/~rahuls/pub/

Christoph H. Lampert: http://www.ist.ac.at/~chl

【Object recognition】Online Visual Vocabulary Pruning Using Pairwise Constraints

PDF: http://www.cse.msu.edu/~pavanm/vocabprun.pdf

Pavan K. Mallapragada:

Rong Jin:

  1. K. Jain:

【Object recognition】Safety in Numbers: Learning Categories from Few Examples with Multi Model Knowledge Transfer

PDF: http://francesco.orabona.com/papers/10cvpr_b.pdf

Tatiana Tommasi:

Francesco Orabona: http://francesco.orabona.com/

Barbara Caputo:

【Object recognition】Rapid and accurate developmental stage recognition of C. elegans from high-throughput image data

Amelia White:

Huey-Ling Kao:

Patricia Cipriani:

Brandon Lees:

Davi Geiger:

Kris Gunsalus:

Fabio Piano:

【Object recognition】Visual Classification with Multi-Task Joint Sparse Representation

PDF: http://www.ee.columbia.edu/~yuxinnan/sc_survey/Multi-Task.pdf

Xiao-Tong Yuan:

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

【Object recognition】Comparative object similarity for improved recognition with few or no examples

PDF: http://www.cs.uiuc.edu/homes/dhoiem/publications/cvpr2010_gangwang.pdf

Gang Wang:

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

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

【Object recognition】Factorization towards a Classifier

Qiang Chen:

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

Tian Tsong Ng:

【Object detection】High Performance Object Detection by Collaborative Learning of Joint Ranking of Granule Features

PDF: http://iris.usc.edu/people/chenghak/download/Kuo_Huang_Nevatia_CVPR2010.pdf

Chang Huang:

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

【Object detection】Toward Coherent Object Detection And Scene Layout Understanding

PDF: http://sitemaker.umich.edu/bao/files/bao_cvpr2010.pdf

Yingze Bao: http://sitemaker.umich.edu/bao

Min Sun:

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

【Object detection】The Phase Only Transform for unsupervised surface defect detection

PDF: http://www.esiee.fr/~aigerd/phot.pdf

Dror Aiger: http://www.esiee.fr/~aigerd

Hugues Talbot:

【Object detection】Towards Semantic Embedding in Visual Vocabulary

PDF: http://vilab.hit.edu.cn/~rrji/index_files/CVPR10.pdf

project: http://vilab.hit.edu.cn/~rrji/index_files/SemanticEmbedding.htm

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

Hongxun Yao:

Xiaoshuai Sun:

【Object detection】Exploiting Monge Structures in Optimum Subwindow Search

Senjian An:

Patrick Peursum:

Wanquan Liu:

Svetha Venkatesh:

Xaioming Chen:

【Object detection】Fast Polygonal Integration and Its Application in Extending Haar-like Features to Improve Object Detection

PDF: http://webtools.sharkdolphin.com/pfn/action.php?dir=./minhtri/publications/papers&cal=Pham_et_al_CVPR2010.pdf&accion=descargar

Minh-Tri Pham: http://mtpham.sharkdolphin.com/

Viet-Dung Hoang:

Tat-Jen Cham:

Yang Gao:

【Object detection】Object Detection via Boundary Structure Segmentation

PDF: http://www.seas.upenn.edu/~toshev/Site/About_Me_files/boss.pdf

Alexander Toshev: http://www.seas.upenn.edu/~toshev/Site/About_Me.html

Ben Taskar:

Kostas Daniilidis:

【Object detection】Implicit Hierarchical Boosting for Multi-view Object Detection

Xavier Perrotton:

Marc Sturzel:

Michel Roux:

【Object detection】An Efficient Divide-and-Conquer Cascade for Nonlinear Object Detection

PDF: http://www.ist.ac.at/~chl/papers/lampert-cvpr2010.pdf

code: http://sites.google.com/a/christoph-lampert.com/work/software

Christoph H. Lampert: http://www.ist.ac.at/~chl

【Object detection】Efficient Rotation Invariant Object Detection using Boosted Random Ferns

Michael Villamizar:

Alberto Sanfeliu:

Francesc Moreno-Noguer:

Juan Andrade-Cetto:

【Object detection】Latent Hierarchical Structural Learning for Object Detection

PDF: http://people.csail.mit.edu/leozhu/paper/cvpr10iCCCP.pdf

Leo Zhu: http://people.csail.mit.edu/leozhu

Yuanhao Chen:

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

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

William Freeman: http://people.csail.mit.edu/billf/

【Object detection】A Steiner Tree approach to efficient object detection

PDF: http://ai.stanford.edu/~ang/papers/cvpr10-SteinerTrees.pdf

Olga Russakovsky:

Quoc Le:

Andrew Ng: http://ai.stanford.edu/~ang/

【Object detection】Part and Appearance Sharing: Recursive Compositional Models for Multi-View Multi-Object Detection

PDF: http://people.csail.mit.edu/leozhu/paper/RCM10cvpr.pdf

Leo Zhu:

Yuanhao Chen:

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

William Freeman: http://people.csail.mit.edu/billf/

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

【Object detection】Multi-View Object Class Detection With a 3D Geometric Model

PDF: http://lear.inrialpes.fr/pubs/2010/LS10/cvpr_1423.pdf

Joerg Liebelt:

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

【Object detection】Multiple Object Detection by Sequential Monte Carlo and Hierarchical Detection Network

PDF: http://www.cs.rpi.edu/~sofka/pdfs/sofka-cvpr10.pdf

project: http://www.cs.rpi.edu/~sofka/HDN.html

Michal Sofka: http://www.cs.rpi.edu/~sofka/

Jingdan Zhang:

Kevin Zhou:

Comaniciu Dorin:

【Object detection】On Detection of Multiple Object Instances using Hough Transforms

PDF: http://research.microsoft.com/en-us/um/people/pkohli/papers/blk_cvpr2010.pdf

Olga Barinova:

Victor Lempitsky:

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

【Object detection】Cascade Object Detection with Deformable Part Models

PDF: http://people.cs.uchicago.edu/~rbg/papers/Cascade-Object-Detection-with-Deformable-Part-Models–Felzenszwalb-Girshick-McAllester.pdf

Pedro Felzenszwalb: http://people.cs.uchicago.edu/~pff/papers/

Ross B. Girshick:

David Mc Allester:

【Object detection】Dominant Orientation Templates for Real-Time Detection of Texture-Less Objects

PDF: http://ar.in.tum.de/Chair/PublicationDetail?pub=hinterstoisser2010template

  1. Hinterstoisser:
  2. Lepetit:
  3. Ilic:
  4. Fua:
  5. Navab:

【Object detection】Efficient Histogram-Based Sliding Window

PDF: http://research.microsoft.com/en-us/people/yichenw/cvpr10_ehsw.pdf

Yichen Wei: http://research.microsoft.com/en-us/people/yichenw/

Litian Tao: http://sites.google.com/site/taolitian

【Saliency detection】What is an object?

PDF: http://thomas.deselaers.de/publications/files/alexe-cvpr10.pdf

Bogdan Alexe:

Thomas Deselaers: http://thomas.deselaers.de/publications/

Vittorio Ferrari: http://groups.inf.ed.ac.uk/calvin/index.html

【Saliency detection】Multi-Class Object Localization by Combining Local Contextual Interactions

PDF: http://cosmal.ucsd.edu/~gert/papers/mklmnn_cvpr.pdf

Carolina Galleguillos:

Brian Mc Fee:

Gert Lanckriet: http://cosmal.ucsd.edu/~gert

【Saliency detection】Free-Shape Subwindow Search for Object Localization

PDF: http://www.cse.sc.edu/~songwang/document/cvpr10b.pdf

Zhiqi Zhang:

Yu Cao:

Dhaval Salvi:

Kenton Oliver:

Jarrell Waggoner:

Song Wang: http://www.cse.sc.edu/~songwang

【Saliency detection】Measuring Visual Saliency by Site Entropy Rate

PDF: http://www.idm.pku.edu.cn/staff/wangwei/papers/0213.pdf

Wei Wang:

Yizhou Wang:

【Saliency detection】Context-Aware Saliency Detection

PDF: http://webee.technion.ac.il/~ayellet/Ps/10-Saliency.pdf

Stas Goferman:

Lihi Zelnik-Manor: http://lihi.eew.technion.ac.il/

Ayellet Tal: http://webee.technion.ac.il/~ayellet/papers.html

【Saliency detection】Reading Between The Lines: Object Localization Using Implicit Cues from Image Tags

PDF: http://userweb.cs.utexas.edu/~sjhwang/hwang10.pdf

Sung Ju Hwang: http://userweb.cs.utexas.edu/~sjhwang

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

【Scene recognition】Multimodal semi-supervised learning for image classication

PDF: http://lear.inrialpes.fr/pubs/2010/GVS10/GVS10.pdf

project: http://lear.inrialpes.fr/pubs/2010/GVS10/

Matthieu Guillaumin:

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

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

【Scene recognition】Scene Understanding by Statistical Modeling of Patterns from Optical Flow

PDF: http://server.cs.ucf.edu/~vision/papers/cvpr2010/Saleemi-Hartung-CVPR10.pdf

Imran Saleemi:

【Scene recognition】Large-Scale Image Categorization with Explicit Data Embedding

PDF: http://yoshi.cs.ucla.edu/upload/CVPR10/data/papers/1250.pdf

Florent Perronnin:

Jorge Sanchez:

Yan Liu:

【Scene recognition】Use Bin-Ratio Information for Category and Scene Classification

PDF: http://www.ist.temple.edu/~hbling/publication/bin-ratio-cvpr10.pdf

Nianhua Xie:

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

Weiming Hu:

Xiaoqin Zhang:

【Scene recognition】Learning Weights for Codebook in Image Classification

PDF: http://www.ee.surrey.ac.uk/CVSSP/Publications/papers/Cai-CVPR-2010.pdf

Hongping Cai:

Krystian Mikolajczyk:

Fei Yan:

【Scene recognition】Global Gaussian Approach for Scene Categorization using Information Geometry

Hideki Nakayama:

Tatsuya Harada:

Yasuo Kuniyoshi:

【Scene recognition】Beyond Active Noun Tagging: Modeling Contextual Interactions for Multi-Class Active Learning

PDF: http://www.cs.umd.edu/~behjat/papers/CVPR10.pdf

Behjat Siddiquie: http://www.cs.umd.edu/~behjat/

Abhinav Gupta: http://www.cs.cmu.edu/~abhinavg/

【Scene recognition】Breaking the interactive bottleneck in multi-class classification with active selection and binary feedback

PDF: http://www-users.cs.umn.edu/~ajay/papers/CVPR10.pdf

Ajay Joshi: http://www-users.cs.umn.edu/~ajay/papers/CVPR10.pdf

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

Nikolaos Papanikolopoulos:

【Scene recognition】Far-Sighted Active Learning on a Budget for Image and Video Recognition

PDF: http://userweb.cs.utexas.edu/~grauman/papers/vijayanarasimhan_cvpr2010.pdf

Sudheendra Vijayanarasimhan:

Prateek Jain:

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

【Scene recognition】Efficiently Selecting Regions for Scene Understanding

PDF: http://ai.stanford.edu/~pawan/kumar10.pdf

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

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

【Scene recognition】Harmony Potentials for Joint Classification and Segmentation

PDF: http://www.salle.url.edu/~xboix/PID1219473.pdf

Xavier Boix Bosch: http://www.salle.url.edu/~xboix

Josep Gonfaus Sitjes:

Joost Van de Weijer:

Andrew Bagdanov:

Joan Serrat Gual:

Jordi Gonzalez Sabat:

【Scene recognition】Locality-constrained Linear Coding for Image Classification

PDF: http://www.ifp.illinois.edu/~jyang29/papers/CVPR10-LLC.pdf

Jinjun Wang:

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

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

Fengjun Lv:

【Scene recognition】SUN Database: Large Scale Scene Recognition from Abbey to Zoo

PDF: http://web.mit.edu/jxiao/Public/publication/2010/CVPR_sun/paper.pdf

Jianxiong Xiao: http://web.mit.edu/jxiao/

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

Krista A. Ehinger:

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

Aude Oliva:

【Scene recognition】Local Features Are Not Lonely – Laplacian Sparse Coding for Image Classification

PDF: http://www3.ntu.edu.sg/home2007/GAOS0004/papers/LSc_CVPR10.pdf

Shenghua Gao:

Wai-Hung Tsang:

Liang-Tien Chia:

Peilin Zhao:

【Text recognition】Improving State-of-the-Art OCR through High-Precision Document-Specific Modeling

PDF: http://vis-www.cs.umass.edu/papers/kae_cvpr_10.pdf

Andrew Kae:

Gary Huang:

Erik Learned-miller:

Carl Doersch:

【Text recognition】Detecting Text in Natural Scenes with Stroke Width Transform

PDF: http://research.microsoft.com/en-us/um/people/ywexler/papers/2010textdetection.pdf

Boris Epshtein: http://research.microsoft.com/~borisep/

Eyal Ofek: http://research.microsoft.com/~eyalofek/

Yonatan Wexler: http://research.microsoft.com/~ywexler/

【Image retrieval】Harvesting Large-Scale Weakly-Tagged Image Databases from the Web

PDF: http://yoshi.cs.ucla.edu/upload/CVPR10/data/papers/0239.pdf

Jianping Fan:

【Image retrieval】SPEC Hashing: Similarity Preserving algorithm for Entropy-based Coding

PDF: http://www.cs.toronto.edu/~dross/LinRossYagnik_CVPR2010.pdf

Ruei-Sung Lin:

David Ross: http://www.cs.toronto.edu/~dross/

Jay Yagnik:

【Image retrieval】Shape-based Similarity Retrieval of Doppler Images for Clinical Decision Support – formely: Clinical Decision Support using Shape-based Similarity Retrieval of Doppler Images

Tanveer Syeda-Mahmood:

Pavan Turaga:

David Beymer:

Fei Wang:

Arnon Amir:

Kilian Pohl: http://www.stanford.edu/~kpohl/

Hayit Greenspan:

【Image retrieval】Taxonomic Classification for Web-based Videos

PDF: http://static.googleusercontent.com/external_content/untrusted_dlcp/research.google.com/en/pubs/archive/36411.pdf

Yang Song:

Ming Zhao:

Jay Yagnik:

Xiaoyun Wu:

【Image retrieval】Improving web image search results using query-relative classifiers

project: http://lear.inrialpes.fr/pubs/2010/KAVJ10/

Josip Krapac:

Moray Allan:

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

Fr茅d茅ric Jurie:

【Image retrieval】Proximate Sensing: Inferring What-Is-Where From Georeferenced Photo Collections

PDF: http://vision.ucmerced.edu/papers/Newsam_CVPR10_ProximateSensing.pdf

Daniel Leung:

Shawn Newsam:

【Image retrieval】ARISTA – Image Search to Annotation on Billions of Web Photos

PDF: http://research.microsoft.com/en-us/people/xjwang/cvpr10_paper301_arista_final.pdf

Xin-Jing Wang:

Ming Liu:

Lei Zhang:

Yi Li: http://users.cecs.anu.edu.au/~yili/

Wei-Ying Ma:

【Image retrieval】A Square-Root Sampling Approach to Fast Histogram-Based Search

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

Huang-Wei Chang:

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

【Image retrieval】Nonparametric Label-to-Region by Search

PDF: http://yoshi.cs.ucla.edu/upload/CVPR10/data/papers/0178.pdf

Xiaobai Liu:

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

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

【Image retrieval】Building and Using a Semantivisual Image Hierarchy

PDF: http://vision.stanford.edu/projects/lijiali/CVPR10/final_camera.pdf

Li-Jia Li:

Chong Wang:

Yongwhan Lim:

David Blei:

Li Fei-Fei:

【Image retrieval】Image Retrieval via Probabilistic Hypergraph Ranking

PDF: http://paul.rutgers.edu/~yuchuang/papers/HuangCVPR10.pdf

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

Qingshan Liu:

Shaoting Zhang: http://webpages.uncc.edu/~szhang16/

Dimitris Metaxas:

【Image retrieval】Large-Scale Image Retrieval with Compressed Fisher Vectors

PDF: http://yoshi.cs.ucla.edu/upload/CVPR10/data/papers/0851.pdf

Florent Perronnin:

Yan Liu:

Jorge Sanchez:

Herve Poirier:

【Image retrieval】Content-Aware Ranking for Visual Search

Bo Geng:

Linjun Yang:

Chao Xu:

Xian-Sheng Hua:

【Image retrieval】Semi-supervised Hashing for Scalable Image Retrieval

PDF: http://www.ee.columbia.edu/ln/dvmm/publications/10/SSH_CVPR2010.pdf

Jun Wang:

Sanjiv Kumar:

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

【Image retrieval】Tag-based Web Photo Retrieval Improved by Batch Mode Re-Tagging

PDF: http://vc.sce.ntu.edu.sg/index_files/retagging.pdf

Lin Chen:

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

Wai-Hung Tsang:

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

【Image retrieval】Finding Meaning on You Tube: Tag Recommendation, Category Discovery and their Implications in Browsing and Search

George Toderici:

Hrishikesh Aradhye:

Marius Pasca:

Luciano Sbaiz:

Jay Yagnik:

【Image retrieval】Total Bregman Divergence and its Applications to Shape Retrieval

PDF: http://yoshi.cs.ucla.edu/upload/CVPR10/data/papers/1882.pdf

Meizhu Liu:

Baba Vemuri:

Shun-ichi Amari:

Frank Nielsen:

【Image retrieval】Scalable Face Image Retrieval with Identity-Based Quantization and Multi-Reference Re-ranking

PDF: http://research.microsoft.com/en-us/um/people/jiansun/papers/CVPR10_FaceSearch.pdf

Zhong Wu:

Qifa Ke:

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

Heung-Yeung Shum:

【Image retrieval】Compact Projection: Simple and Efficient Near Neighbor Search with Practical Memory Requirements

PDF: http://watt.csl.illinois.edu/~yima/psfile/CVPR10-Hashing.pdf

Kerui Min:

Linjun Yang:

John Wright:

Lei Wu:

Xian-Sheng Hua:

Yi Ma: http://watt.csl.illinois.edu/~yima/

【3D modeling】Hybrid Multi-view Reconstruction by Jump-Diffusion

PDF: http://certis.enpc.fr/publications/papers/CVPR10a.pdf

Florent Lafarge:

Renaud Keriven:

Mathieu Bredif:

Hoang Hiep Vu:

【3D modeling】Building Reconstruction using Manhattan-World Grammars

PDF: http://www.cs.purdue.edu/cgvlab/papers/aliaga/cvpr10-urban.pdf

Carlos Vanegas: http://www.cs.purdue.edu/homes/cvanegas/

Daniel Aliaga: http://www.cs.purdue.edu/homes/aliaga/publications.htm

Bedrich Benes: http://www2.tech.purdue.edu/cgt/Facstaff/bbenes/private/publications.htm

【3D modeling】Dynamic and Scalable Large Scale Image Reconstruction

PDF: http://cvlab.epfl.ch/~strecha/publications/cvpr_2010.pdf

project: http://cvlab.epfl.ch/~strecha/demos/largescale/

Christoph Strecha: http://cvlab.epfl.ch/~strecha

Timo Pylvanainen:

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

【3D modeling】Combining Discriminative and Generative Methods for 3D Deformable Surface and Articulated Pose Reconstruction

PDF: http://www.icsi.berkeley.edu/~salzmann/papers/SalzmannUrtasunCVPR10.pdf

project: http://www.icsi.berkeley.edu/~salzmann/videos/CVPR10/index.html

Mathieu Salzmann: http://www.icsi.berkeley.edu/~salzmann/

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

【3D modeling】Efficient Joint 2D and 3D Palmprint Matching with Alignment Refinement

PDF: http://www4.comp.polyu.edu.hk/~cslzhang/paper/CVPR2010.pdf

project: http://www4.comp.polyu.edu.hk/~biometrics/2D_3D_Palmprint.htm

Wei Li:

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

david Zhang:

Guangming Lu:

Jingqi Yan:

【3D modeling】Real-Time Vehicle Global Localisation with a Single Camera in Dense Urban Areas: Exploitation of Coarse 3D City Models

PDF: http://pierre.lothe.free.fr/Documents/CVPR2010_Lothe_Bourgeois_Royer_Dhome_Naudet.pdf

Pierre Lothe:

Steve Bourgeois:

Eric Royer:

Michel Dhome:

Sylvie Naudet Collette:

【3D modeling】A Framework for Ultra High Resolution 3D Imaging

PDF: http://yuwing.kaist.ac.kr/papers/Lu10cvpr.pdf

Zheng Lu:

Yu-Wing Tai: http://yuwing.kaist.ac.kr/

Moshe Ben-Ezra:

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

【3D modeling】3D Reconstruction of Glossy Surfaces Using Stereo Cameras and Projector-Display

Masaki Yamazaki:

Gang Xu:

【3D modeling】Simultaneous Point Matching and 3D Deformable Surface Reconstruction

PDF: http://cvlab.epfl.ch/publications/publications/2010/ShajiVTF10.pdf

Appu Shaji:

Aydin Varol:

Lorenzo Torresani:

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

【3D modeling】High-Resolution Modeling of Moving and Deforming Objects Using Sparse Geometric and Dense Photometric Measurements

PDF: http://www.cs.purdue.edu/homes/xu43/papers/cvpr10.pdf

project: http://wiki.cs.purdue.edu/cgvlab/doku.php?id=projects:photogeometric

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

Daniel Aliaga:

【3D modeling】Specular Surface Reconstruction from Sparse Reflection Correspondences

PDF: http://www.ece.rice.edu/~as48/paper/SfRC_CVPR2010.pdf

Aswin Sankaranarayanan: http://www.ece.rice.edu/~as48

Ashok Veeraraghavan:

Oncel Tuzel:

Amit Agrawal:

【3D modeling】Robust Piecewise-Planar 3D Reconstruction and Completion from Large-Scale Unstructured Point Data

PDF: http://www.normalesup.org/~labatut/papers/cvpr2010-robust-piecewise-planar.pdf

Anne-Laure Chauve:

Patrick Labatut:

Jean-Philippe Pons:

【3D modeling】Probabilistic Temporal Inference on Reconstructed 3D Scenes

PDF: http://www.cc.gatech.edu/~phlosoft/files/schindler10cvpr.pdf

Grant Schindler: http://www.cc.gatech.edu/~phlosoft/

Frank Dellaert:

【3D modeling】Piecewise Planar and Non-Planar Stereo for Urban Scene Reconstruction

PDF: http://www.cs.unc.edu/~gallup/papers/CVPR2010.pdf

project: http://write.blog.csdn.net/postedit/39696411

David Gallup: http://www.cs.unc.edu/~gallup/

Jan-Michael Frahm:

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

【3D modeling】Reconstruction of Display and Eyes from a Single Image

Dirk Schnieders:

Xingdou Fu:

Kwan-Yee Wong:

【3D modeling】Quasi-Dense 3D Reconstruction using Tensor-based Multiview Stereo

PDF: http://www.cse.ust.hk/~pang/papers/tmvs.pdf

Tai-Pang Wu:

Sai-Kit Yeung:

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

Chi-keung Tang:

【3D modeling】Accurate 3D Face Reconstruction from Weakly Calibrated Wide Baseline Images

Yuping Lin:

Gerard Medioni:

Jongmoo Choi:

【3D modeling】Live Dense Reconstruction with a Single Moving Camera

PDF: http://www.doc.ic.ac.uk/~ajd/Publications/newcombe_davison_cvpr2010.pdf

Richard Newcombe: http://www.doc.ic.ac.uk/~rnewcomb/

Andrew Davison: http://www.doc.ic.ac.uk/~ajd/

【3D modeling】Ray Markov Random Fields for Image-Based 3D Modeling: Model and Efficient Inference

PDF: http://www.lems.brown.edu/~sbliu/publication/CVPR10.pdf

Shubao Liu:

David Cooper:

【3D modeling】Triangulation Made Easy

PDF: https://e-reports-ext.llnl.gov/pdf/384387.pdf

Peter Lindstrom: http://people.llnl.gov/lindstrom2

【3D modeling】Exploiting Global Connectivity Constraints for Reconstruction of 3D Line Segment from Images

PDF: http://www.mpi-inf.mpg.de/resources/LineReconstruction/paper/cvpr2010.pdf

project: http://www.mpi-inf.mpg.de/resources/LineReconstruction/

  1. Jain: http://www.mpi-inf.mpg.de/~ajain/
  2. Kurz:
  3. Thorm盲hlen: http://www.mpi-inf.mpg.de/~thormae/

H.-P. Seidel:

【3D modeling】Increasing depth resolution of Electron Microscopy of Neural circuits using Sparse Tomographic reconstruction

PDF: http://www.cfar.umd.edu/~vashok/MyPapers/HighlySelectiveConf2010/EM_Tilts_IEEE_Compatiable.pdf

Ashok Veeraraghavan: http://www.cfar.umd.edu/~vashok/

Alex Genkin:

Shiv Vitaladevuni:

Lou Scheffer:

Shan Xu:

Harald Hess:

Graham Knott:

Dmitri Chklovskii:

【3D modeling】Finding Nemo: Deformable Object Class Modelling using Curve Matching

PDF: http://people.ee.ethz.ch/~mprasad/cvpr10/prasad10.pdf

Mukta Prasad:

Andrew Fitzgibbon:

【3D modeling】Multi-View Structure Computation from Graph Rigidity

PDF: http://users.cecs.anu.edu.au/~hongdong/CVPR10a.pdf

Hongdong Li:

【3D modeling】Image Atlas Construction via Intrinsic Averaging on the Manifold of Images

PDF: http://www.cise.ufl.edu/~jho/papers/cvpr10.pdf

Yuchen Xie:

Jeffrey Ho:

Baba Vemuri:

【Feature matching】Spatialized Epitome and Its Applications

PDF: http://sites.google.com/site/chuxinqi/cvpr10/1665.pdf?attredirects=0&d=1

Xinqi Chu:

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

Liyuan Li:

Kap Luk Chan:

Thomas Huang:

【Feature matching】Robust Order-based Methods for Feature Description

PDF: http://www.cse.iitm.ac.in/~rgupta/mift_cvpr2010.pdf

code: http://www.cse.iitm.ac.in/~rgupta/hricsltp.cpp

Raj Gupta: http://www.cse.iitm.ac.in/~rgupta

Harshal Patil:

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

【Feature matching】Posture Invariant Surface Description and Feature Extraction

PDF: http://cg.scs.carleton.ca/~swuhrer/Publications/features_cvpr_style.pdf

Stefanie Wuhrer: http://cg.scs.carleton.ca/~swuhrer/

Zouhour Ben Azouz:

Chang Shu:

【Feature matching】Support Vector Regression for Multi-View Gait Recognition based on Local Motion Feature Selection

Worapan Kusakunniran:

Qiang Wu:

Jian Zhang:

Hongdong Li:

【Feature matching】Unsupervised Learning of Invariant Features Using Video

PDF: http://ai.stanford.edu/~dstavens/cvpr10/stavens_thrun_cvpr10.pdf

David Stavens: http://ai.stanford.edu/~dstavens

Sebastian Thrun:

【Feature matching】DARTs: Efficient scale-space extraction of DAISY keypoints

PDF: http://bit.ly/cVldBV

David Marimon:

Arturo Bonnin:

Tomasz Adamek:

Roger Gimeno:

【Feature matching】Dense Interest Points

PDF: http://homes.esat.kuleuven.be/~tuytelaa/Tuytelaars_dip_CVPR2010.pdf

Tinne Tuytelaars: http://homes.esat.kuleuven.be/~tuytelaa/publ.html

【Feature matching】Multilinear Feature Extraction and Classification of Multi-Focal Images, With Applications in Nematode Taxonomy

PDF: http://www.ee.ucr.edu/~amitrc/cvpr2010.pdf

Min Liu:

Amit Roy-Chowdhury:

【Feature matching】Search Strategies for Multiple Landmark Detection by Submodular Maximization

David Liu:

Kevin Zhou:

Comaniciu Dorin:

【Feature matching】Pareto-optimal Dictionaries for Signatures

PDF: http://cvlab.epfl.ch/publications/publications/2010/CalonderLF10.pdf

  1. Calonder:
  2. Lepetit:
  3. Fua:

【Feature matching】Region Moments: Fast invariant descriptors for detecting small image structures – formely: Fast invariant descriptors based on moments of image features

Gianfranco Doretto:

Yi Yao:

【Feature matching】Aggregating local descriptors into a compact image representation

PDF: http://lear.inrialpes.fr/pubs/2010/JDSP10/jegou_compactimagerepresentation.pdf

project: http://lear.inrialpes.fr/pubs/2010/JDSP10/

Herv茅 J茅gou:

Matthijs Douze:

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

Patrick P茅rez:

【Feature matching】Spatial-Bag-of-Features

PDF: http://bcmi.sjtu.edu.cn/~zhangliqing/2010CVPR-Cao.pdf

Yang Cao:

Changhu Wang:

Zhiwei Li:

Lei Zhang:

Liqing Zhang: http://bcmi.sjtu.edu.cn/~zhangliqing/

【Feature matching】The Automatic Design of Feature Spaces for Local Image Descriptors using an Ensemble of Non-linear Feature Extractors

PDF: http://omni.isr.ist.utl.pt/~gcarneiro/publications/CVPR10_local_descriptor.pdf

Gustavo Carneiro: http://users.isr.ist.utl.pt/~gcarneiro/publications.html

【Pose estimation】Geo-location estimation from two shadow trajectories

PDF: http://cs.tju.edu.cn/orgs/vision/publication/10/1006.pdf

project: http://cs.tju.edu.cn/orgs/vision/project.html

Lin Wu:

Xiaochun Cao: http://cs.tju.edu.cn/orgs/vision/people/cxc.html

【Pose estimation】Estimating satellite attitude from pushboom sensors

Regis Perrier:

Elise Arnaud:

Peter Sturm:

Mathias Ortner:

【Pose estimation】Estimating Camera Pose from a Single Urban Ground-View Omnidirectional Image and a 2D Building Outline Map

PDF: http://web.mysites.ntu.edu.sg/astjcham/public/Shared Documents/papers/ChamCiptadiTanPhamChia-CVPR10.pdf

Tat-Jen Cham: http://www3.ntu.edu.sg/home/astjcham/publications.htm

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

Wei-Chian Tan:

Minh-Tri Pham: http://mtpham.sharkdolphin.com/

Liang-Tien Chia:

【Pose estimation】Growing semantically meaningful models for visual SLAM

PDF: http://yoshi.cs.ucla.edu/upload/CVPR10/data/papers/2014.pdf

Alexander Flint:

Christopher Mei:

David Murray: http://www.robots.ox.ac.uk/~lav/

【Pose estimation】An Eye for an Eye: A Single Camera Gaze-Replacement Method

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

Lior Wolf:

Ziv Freund:

Shai Avidan:

【Pose estimation】Cascaded Pose Regression

PDF: http://vision.ucsd.edu/~pdollar/research/papers/dollarCVPR10pose.pdf

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

Peter Welinder:

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

【Pose estimation】Using Cloud Shadows to Infer Scene Structure and Camera Calibration

PDF: http://www.cse.wustl.edu/~jacobsn/papers/cvpr_2010/jacobs2010depthfromclouds.pdf

Nathan Jacobs: http://www.cse.wustl.edu/~jacobsn/publications.html

Brian Bies:

Robert Pless:

【Pose estimation】Geometric Properties of Multiple Reflections in Catadioptric Camera with Two Planar Mirrors

Xianghua Ying:

Kun Peng:

Ren Ren:

Hongbin Zha: http://www.cis.pku.edu.cn/vision/3DVCR/3DVCR_E.html

【Pose estimation】Model Evolution: An Incremental Approach to Non-Rigid Structure from Motion

PDF: http://pages.cs.wisc.edu/~lizhang/projects/mevolve/0578.pdf

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

Shengqi Zhu: http://pages.cs.wisc.edu/~sqzhu/

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

Brandon Smith:

【Pose estimation】Pushing the Envelope of Modern Methods for Bundle Adjustment

PDF: http://rcv.kaist.ac.kr/v2/bbs/board.php?bo_table=rs_publications&wr_id=294

Yekeun Jeong: http://rcv.kaist.ac.kr/v2/bbs/member_detail.php?mb_id=ykjeong

David Nister:

Drew Steedly:

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

In So Kweon: http://rcv.kaist.ac.kr/v2/bbs/member_detail.php?mb_id=%20iskweon

【Pose estimation】Egomotion using assorted features

Vivek Pradeep:

Jongwoo Lim:

【Pose estimation】Monocular SLAM with Locally Planar Landmarks via Geometric Rao-Blackwellized Particle Filtering on Lie groups

PDF: http://cv.snu.ac.kr/publication/conf/2010/GeoSLAM_CVPR2010.pdf

Junghyun Kwon:

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

【Pose estimation】Simultaneous surveillance camera calibration and foot-head homology estimation from human detections

PDF: http://www.cat-project.at/CMS/joomla/images/stories/articles/micusik-pajdla-cvpr10.pdf

Branislav Micusik:

Tomas Pajdla:

【Pose estimation】Admissible Linear Map Models of Linear Cameras

PDF: http://www.di.ens.fr/willow/pdfs/cvpr10b.pdf

Guillaume Batog:

Xavier Goaoc:

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

【Pose estimation】Improving the Efficiency of Hierarchical Structure-and-Motion

PDF: http://profs.sci.univr.it/~fusiello/papers/cvpr10.pdf

Riccardo Gherardi:

Michela Farenzena:

Andrea Fusiello:

【Pose estimation】Multiview Constraints in Frequency Space and Camera Calibration from Unsynchronized Images

Hiroki Matsumoto:

JUN SATO:

Fumihiko Sakaue:

【Pose estimation】Non-Rigid Structure from Locally-Rigid Motion

PDF: http://www.cs.toronto.edu/~kyros/pubs/10.cvpr.non-rigid.pdf

Jonathan Taylor:

Allan Jepson:

Kyros Kutulakos: http://www.cs.toronto.edu/~kyros

【Stereo matching】Depth from Diffusion

PDF: http://www1.cs.columbia.edu/~changyin/files/ZhouCVPR2010.pdf

Changyin Zhou: http://www1.cs.columbia.edu/~changyin

Oliver Cossairt:

Shree Nayar:

【Stereo matching】Self-calibrating Photometric Stereo

PDF: http://research.microsoft.com/en-us/people/yichenw/cvpr10_photometricstereo.pdf

Boxin Shi:

Yasuyuki Matsushita:

Yichen Wei: http://research.microsoft.com/en-us/people/yichenw/

Chao Xu:

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

【Stereo matching】Recovering Thin Structures via Nonlocal-Means Regularization with Application to Depth from Defocus

PDF: http://lmb.informatik.uni-freiburg.de/lectures/seminar_brox/seminar_ws1011/cvpr10_favaro.pdf

Paolo Favaro:

【Stereo matching】Consensus Photometric Stereo

PDF: http://research.microsoft.com/en-us/UM/people/yasumat/papers/cvpr2010_Higo.pdf

Tomoaki Higo:

Yasuyuki Matsushita:

Katsushi Ikeuchi:

【Stereo matching】Single Image Depth Estimation From Predicted Semantic Labels

PDF: http://www.stanford.edu/~sgould/papers/cvpr10-depth.pdf

Beyang Liu:

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

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

【Stereo matching】Towards Internet-scale Multi-view Stereo

PDF: http://www.cs.washington.edu/homes/furukawa/

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

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

Steven M. Seitz:

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

【Stereo matching】Outlier Removal Using Duality

PDF: http://www.maths.lth.se/matematiklth/vision/publdb/reports/pdf/olsson-eriksson-etal-c2-10.pdf

Carl Olsson:

Anders Eriksson:

Richard Hartley:

【Stereo matching】A Constant-Space Belief Propagation Algorithm for Stereo Matching

PDF: http://vision.ai.uiuc.edu/~qyang6/publications/cvpr-10-qingxiong-yang-csbp.pdf

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

Liang Wang:

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

【Stereo matching】Evaluation of Stereo Confidence Indoors and Outdoors

PDF: http://www.cs.stevens.edu/~mordohai/public/Hu_EvalutionOfConfidence10.pdf

Xiaoyan Hu:

Philippos Mordohai:

【Stereo matching】3D Curve Sketch: Flexible Curve-Based Stereo Reconstruction and Calibration

PDF: http://www.lems.brown.edu/~rfabbri/stuff/fabbri-kimia-CVPR10.pdf

Ricardo Fabbri: http://www.lems.brown.edu/~rfabbri/

Benjamin B. Kimia:

【Stereo matching】Surface Stereo with Soft Segmentation

PDF: http://research.microsoft.com/en-us/um/people/pkohli/papers/brk_cvpr2010.pdf

Michael Bleyer:

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/

【Stereo matching】Probabilistic Models for Supervised Dictionary Learning

PDF: http://bcmi.sjtu.edu.cn/~lianxiaochen/papers/cvpr2010.pdf

Xiaochen Lian:

Zhiwei Li:

Changhu Wang:

Lei Zhang:

【Stereo matching】Bundled Depth-Map Merging for Multi-View Stereo

PDF: http://sites.google.com/site/leeplus/BMVS.pdf?attredirects=0

Jianguo Li:

【Stereo matching】Supervised Translation-Invariant Sparse Coding

PDF: http://www.ifp.illinois.edu/~jyang29/papers/CVPR10-SSC.pdf

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

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

Thomas Huang:

【Stereo matching】Sparse Representation using Nonnegative Curds and Whey

PDF: http://www.cs.zju.edu.cn/people/zhzhang/papers/nncw.pdf

Yanan Liu:

Fei Wu:

Zhihua Zhang:

Yueting Zhuang:

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

【Optical flow】Real Time Motion Capture using a Single Time-Of-Flight Camera

PDF: http://robotics.stanford.edu/~koller/Papers/Ganapathi+al:CVPR10.pdf

Varun Ganapathi:

Christian Plagemann:

Sebastian Thrun:

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

【Optical flow】Motion Fields to Predict Play Evolution in Dynamic Sport Scenes

PDF: http://www.cc.gatech.edu/cpl/projects/playevolution/cvpr2010-pe.pdf

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

Kihwan Kim: http://www.cc.gatech.edu/~kihwan23

Matthias Grundmann: http://www.cc.gatech.edu/~grundman

Ariel Shamir: http://www.faculty.idc.ac.il/arik/

Iain Matthews:

Jessica Hodgins: http://www.cvpapers.com/www.test.com

Irfan Essa: http://www.cc.gatech.edu/~irfan

【Optical flow】Multi-View Scene Flow Estimation: A View Centered Variational Approach

PDF: http://www.eng.tau.ac.il/~talib/CVPR2010_BMK.pdf

Tali Bahsa:

Yael Moses:

Nahum Kiryati:

【Optical flow】Motion Detail Preserving Optical Flow Estimation

PDF: http://research.microsoft.com/en-us/UM/people/yasumat/papers/ec2f_flow_cvpr10.pdf

Li Xu:

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

Yasuyuki Matsushita: http://research.microsoft.com/en-us/people/yasumat/

【Optical flow】Modeling and Estimating Persistent Motion with Geometric Flows

PDF: http://people.csail.mit.edu/fisher/publications/papers/dhlin10cvpr.pdf

Dahua Lin: http://dahua.me/

Eric Grimson:

John Fisher: http://people.csail.mit.edu/fisher

【Optical flow】Group Motion Segmentation Using a Spatio-Temporal Driving Force Model

Ruonan Li:

Rama Chellappa:

【Optical flow】Secrets of optical flow estimation and their principles

PDF: http://www.cs.brown.edu/~dqsun/pubs/cvpr_2010_flow.pdf

code: http://www.cs.brown.edu/~dqsun/code/flow_code.zip

Deqing Sun: http://www.cs.brown.edu/~dqsun

Stefan Roth: http://www.igp.ethz.ch/photogrammetry/

Michael Black: http://ps.is.tue.mpg.de/person/black

【Optical flow】Recovering Fluid-type Motions Using Navier-Stokes Potential Flow

PDF: http://www.eecis.udel.edu/~feli/_papers/fluid-flow.pdf

Feng Li: http://www.eecis.udel.edu/~feli

Liwei Xu:

Philippe Guyenne:

Jingyi Yu:

【Optical flow】Sparsity Model for Robust Optical Flow Estimation at Motion Discontinuities

Xiaohui Shen:

Ying Wu:

【Optical flow】Motion Estimation with Non-Local Total Variation Regularization

PDF: http://gpu4vision.icg.tugraz.at/papers/2010/werlberger_cvpr2010.pdf

Manuel Werlberger:

Thomas Pock: http://www.icg.tugraz.at/Members/pock

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

【Optical flow】Optical Flow Estimation with Adaptive Convolution Kernel Prior on Discrete Framework

PDF: http://spl.snu.ac.kr/spl/Publications/Data/CVPR2010_kjoon.pdf

Kyong Joon Lee:

Dongjin Kwon:

Il Dong Yun:

Sang Uk Lee:

【Region matching】Direct Image Alignment of Projector-Camera Systems with Planar Surfaces

PDF: http://www.ok.ctrl.titech.ac.jp/~saudet/publications/cvpr2010.pdf

Samuel Audet: http://www.ok.ctrl.titech.ac.jp/~saudet

Masatoshi Okutomi:

Masayuki Tanaka:

【Region matching】Dense Non-rigid Surface Registration Using High-Order Graph Matching

PDF: http://www.cs.sunysb.edu/~yzeng/MRFConformal.pdf

Yun Zeng: http://www.cs.sunysb.edu/~yzeng

Chaohui Wang:

Yang Wang:

Xianfeng Gu:

Dimitris Samaras:

Nikos Paragios:

【Region matching】Line Matching Leveraged By Point Correspondences

PDF: http://nlpr-web.ia.ac.cn/english/rv/bfan/LM-paper.pdf

Bin Fan:

Fuchao Wu:

Zhanyi Hu:

【Region matching】A Game-Theoretic Approach to Fine Surface Registration without Initial Motion Estimation

PDF: http://www.dsi.unive.it/~rodola/cvpr2010.pdf

Andrea Albarelli:

Andrea Torsello:

Emanuele Rodola: http://www.dsi.unive.it/~rodola/

【Region matching】Point-Based Non-Rigid Surface Registration with Accuracy Estimation

PDF: http://www.iu.nitech.ac.jp/~hontani/pdf/cvpr-2010.pdf

Hidekata Hontani: http://www.iu.nitech.ac.jp/~hontani/

Wataru Watanabe:

【Region matching】Diffeomorphic Sulcal Shape Analysis for Cortical Surface Registration

Shantanu Joshi:

Ryan Cabeen:

Anand Joshi:

Roger Woods:

Arthur Toga:

【Region matching】Scalable Active Matching

PDF: http://wwwhomes.doc.ic.ac.uk/~strasdat/files/HandaChliEtAllCVPR2010.pdf

Ankur Handa:

Margarita Chli:

Hauke Strasdat: http://wwwhomes.doc.ic.ac.uk/~strasdat

Andrew Davison: http://www.doc.ic.ac.uk/~ajd

【Region matching】Dynamic Surface Matching by Geodesic Mapping for 3D Animation Transfer

PDF: http://vision.kuee.kyoto-u.ac.jp/japanese/happyou/pdf/Tung_CVPR2010.pdf

Tony Tung:

Takashi Matsuyama:

【Region matching】Common Visual Pattern Discovery via Spatially Coherent Correspondences

PDF: http://sites.google.com/site/lhrbss/home/papers/SpatialPatternFinal.pdf

Liu Hairong:

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

【Region matching】Object Matching with a Locally Affine-Invariant Constraints

PDF: http://www.lehigh.edu/~hol207/cvpr10_li_matching.pdf

Hongsheng Li: http://www.lehigh.edu/~hol207/

Edward Kim:

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

Lei He:

【Region matching】Fast Directional Chamfer Matching – formely: Sublinear Time Directional Chamfer Matching

Ming-Yu Liu:

Oncel Tuzel:

Ashok Veeraraghavan:

Rama Chellappa:

【Region matching】Fast Image Alignment in the Fourier Domain

PDF: http://www.contrib.andrew.cmu.edu/~aashraf/pub/ashraf_cvpr_2010.pdf

Ahmed Ashraf: http://www.andrew.cmu.edu/user/aashraf/

Simon Lucey:

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

【Region matching】Compression of Surface Registration using Beltrami Coefficients

PDF: ftp://ftp.math.ucla.edu/pub/camreport/cam10-37.pdf

Lok Ming Lui:

【Region matching】Natural Gradients for Deformable Registration

Darko Zikic: http://campar.in.tum.de/Main/DarkoZikic

Ali Kamen:

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

【Region matching】Masked FFT Registration

Dirk Padfield:

【Region matching】Fast pattern matching using orthogonal Haar transform

PDF: http://www.ee.cuhk.edu.hk/~wlouyang/Papers/Manu_OHT.pdf

Wanli Ouyang: http://www.ee.cuhk.edu.hk/~wlouyang/

Renqi Zhang:

Cham Wai-Kuen:

【Region matching】One-Shot Multi-Set Non-rigid Feature-Spatial Matching

PDF: http://paul.rutgers.edu/~mtorki/1763.pdf

Marwan Torki: http://paul.rutgers.edu/~mtorki

Ahmed Elgammal:

【Region matching】Optimizing Kd-trees for Scalable Visual Descriptor Matching

You Jia:

Jingdong Wang:

Gang Zeng:

Xian-Sheng Hua:

【Image editing】A Content-Aware Image Prior

PDF: http://people.csail.mit.edu/taegsang/Documents/ContentAwarePrior_CVPR2010.pdf

Taeg Sang Cho: http://people.csail.mit.edu/taegsang

Neel Joshi:

Larry Zitnick:

Sing Bing Kang:

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

William Freeman: http://people.csail.mit.edu/billf/

【Image editing】Learning from Interpolated Images using Neural Networks for Digital Forensics

PDF: http://pages.cs.wisc.edu/~huangyz/cvpr10_huang.pdf

Yizhen Huang: http://pages.cs.wisc.edu/~huangyz/

Na Fan:

【Image editing】Context-Constrained Hallucination for Image Super-Resolution

PDF: http://www.eecs.ucf.edu/~mtappen/pubs/cvpr10_super_res.pdf

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

Jiejie Zhu:

Marshall Tappen: http://www.eecs.ucf.edu/~mtappen

【Image editing】Image Restoration and Disparity Estimation from an Uncalibrated Multi-Layered Image

PDF: http://yoshi.cs.ucla.edu/upload/CVPR10/data/papers/0989.pdf

Takahiro Yano:

Masao Shimizu:

Masatoshi Okutomi:

【Image editing】Estimation of Image Bias Field with Sparsity Constraints

PDF: http://8734139778261139169-a-1802744773732722657-s-sites.googlegroups.com/site/zhengvision/biasCorrection_CVPR10.pdf?attachauth=ANoY7cruNYjCH0OSxLbI6yYPWq4bkPFwfTyohW2XNHd6ijhd0Tk1zR0ag2piLTN9yWRr-WjBSp9iUE1IIvsUOLMEIX140IzZyEP2bJVaTIM7hSFF9LrLFEtLh5fRCoC5N7XfQUBDHg4W1lRgHTxcESDSpLeyLRIpH3Cy7lkfSFNR9pFDiElt6tg6XG0k_Gfp39Wim0WJh6p77pssfoSFI_IxaiaODDB3Qg==&attredirects=0

Yuanjie Zheng: http://sites.google.com/site/zhengvision/publications

James Gee:

【Image editing】Performance Evaluation of Color Correction Approaches for Automatic Multi-view Image and Video Stitching

PDF: http://ia.cs.colorado.edu/~wxu/color_correction/Xu10CVPR_Performance.pdf

project: http://ia.cs.colorado.edu/~wxu/color_correction.htm

Wei Xu: http://ia.cs.colorado.edu/~wxu/

Jane Mulligan:

【Image editing】Estimating demosaicing algorithms using image noise variance

PDF: http://research.microsoft.com/en-us/UM/people/yasumat/papers/cvpr2010_Takamatsu.pdf

Jun Takamatsu:

Yasuyuki Matsushita:

Tsukasa Ogasawara:

Katsushi Ikeuchi:

【Image editing】Non-uniform Deblurring for Shaken Images

PDF: http://www.di.ens.fr/willow/pdfs/cvpr10d.pdf

Oliver Whyte: http://www.di.ens.fr/~whyte/

Josef Sivic:

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

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

【Image editing】Rectifying rolling shutter video from hand-held devices

PDF: http://www.cvl.isy.liu.se/research/rs-dataset/0382.pdf

project: http://www.cvl.isy.liu.se/research/rs-dataset

Per-Erik Forssen:

Erik Ringaby:

【Image editing】Correcting Over-Exposure in Photographs

PDF: http://www.comp.nus.edu.sg/~guodong/deoverexposure/deoverexposure_cvpr10.pdf

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

Yuan Cheng:

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

【Image editing】Denoising vs. Deblurring: HDR Imaging Techniques Using Moving Cameras

PDF: http://pages.cs.wisc.edu/~lizhang/projects/motionhdr/0223.pdf

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

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

Alok Deshpande:

Xin Chen:

【Image editing】Gradient-directed Composition of Multi-exposure Images – formely: Gradient-directed High Dynamic Range Imaging

Wei Zhang:

Cham Wai-Kuen:

【Image editing】Warp Propagation for Video Resizing

PDF: http://pages.cs.wisc.edu/~fliu/papers/cvpr2010.pdf

project: http://pages.cs.wisc.edu/~fliu/project/warp-propagation.htm

Yuzhen Niu:

Feng Liu: http://pages.cs.wisc.edu/~fliu/

Xueqing Li:

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

【Image editing】Sensor Saturation in Fourier Multiplexed Imaging

PDF: http://www.cs.ubc.ca/labs/imager/tr/2010/SensorSaturationFourierMultiplexedImaging/SensorSaturationFourierMultiplexedImaging-CVPR10.pdf

project: http://www.cs.ubc.ca/labs/imager/tr/2010/SensorSaturationFourierMultiplexedImaging/

Gordon Wetzstein: http://www.cs.ubc.ca/~wetzste1

Ivo Ihrke: http://www.cs.ubc.ca/~ivoihrke

Wolfgang Heidrich: http://www.cs.ubc.ca/~heidrich

【Image editing】Noise-Optimal Capture for High Dynamic Range Photography

PDF: http://people.csail.mit.edu/hasinoff/pubs/hasinoff-hdrnoise-2010.pdf

project: http://people.csail.mit.edu/hasinoff/hdrnoise/

Samuel Hasinoff: http://people.csail.mit.edu/hasinoff/

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

William Freeman: http://people.csail.mit.edu/billf/

【Image editing】Using Optical Defocus to Denoise

PDF: http://www.cs.washington.edu/homes/shanqi/res/defocus_denoise_cvpr10.pdf

Qi Shan:

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

Sing Bing Kang:

Zenglu Qin:

【Image editing】Discontinuous Seam-Carving for Video Retargeting

PDF: http://cpl.cc.gatech.edu/projects/videoretargeting/cvpr2010_videoretargeting.pdf

project: http://cpl.cc.gatech.edu/projects/videoretargeting/

Matthias Grundmann: http://www.mgrundmann.com/

Vivek Kwatra: http://www.google.com/research/pubs/author38000.html

Mei Han: http://research.google.com/pubs/author13553.html

Irfan Essa: http://www.irfanessa.com/

【Image editing】Hybrid Shift Map for Video Retargeting

PDF: http://yoshi.cs.ucla.edu/upload/CVPR10/data/papers/1001.pdf

Yiqun Hu:

Deepu Rajan:

【Image editing】Optimal Coded Sampling for Temporal Super-Resolution

PDF: http://www.cs.cmu.edu/~ILIM/publications/PDFs/AGVN-CVPR10.pdf

Amit Agrawal:

Mohit Gupta:

Ashok Veeraraghavan:

Srinivasa Narasimhan:

【Image editing】Efficient Filter Flow for Space-Variant Multiframe Blind Deconvolution

PDF: http://people.kyb.tuebingen.mpg.de/harmeling/pubs/cvpr2010_final.pdf

Michael Hirsch:

Suvrit Sra:

Bernhard Sch枚lkopf:

Stefan Harmeling: http://people.kyb.tuebingen.mpg.de/harmeling/

【Image editing】Regenerative Morphing

PDF: http://grail.cs.washington.edu/projects/regenmorph/regenmorph.cvpr10.pdf

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

Eli Shechtman: http://www.adobe.com/technology/people/seattle/shechtman.html

Alex Rav-Acha: http://www.wisdom.weizmann.ac.il/~alexis

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

Steve Seitz: http://www.cs.washington.edu/homes/seitz/

【Image editing】Rectilinear Parsing of Architecture in Urban Environment

PDF: http://web.mit.edu/jxiao/Public/publication/2010/CVPR_line/paper.pdf

Peng Zhao:

Tian Fang:

Honghui Zhang:

Jianxiong Xiao: http://web.mit.edu/jxiao/

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

Qinping Zhao:

【Image editing】Upsampling Range Data in Dynamic Environments

PDF: http://graphics.stanford.edu/papers/upsampling_cvpr10/paper.pdf

project: http://graphics.stanford.edu/papers/upsampling_cvpr10/

Jennifer Dolson: http://www.stanford.edu/~jldolson

Jongmin Baek: http://cs.stanford.edu/~baekjm/

Christian Plagemann: http://www.stanford.edu/~plagem/

Sebastian Thrun: http://robots.stanford.edu/

【Image editing】Refinement of Digital Elevation Models from Shadowing Cues

PDF: http://www-users.cs.york.ac.uk/~wsmith/CVPR2010.pdf

James Hogan:

William Smith: http://www-users.cs.york.ac.uk/~wsmith

【Image editing】A Globally Optimal Data-Driven Approach for Image Distortion Estimation

PDF: http://www.cs.cmu.edu/~ILIM/projects/IM/globalopt/cvpr10_globalopt.pdf

project: http://www.cs.cmu.edu/~ILIM/projects/IM/globalopt/research_globalopt.html

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

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

【Image editing】Robust video denoising using low rank matrix completion

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

Hui Ji:

Chaoqiang Liu:

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

Yuhong Xu:

【Image editing】Personalization of Image Enhancement

PDF: http://research.microsoft.com/en-us/um/people/akapoor/papers/personalizedenhancement-cvpr2010.pdf

Sing Bing Kang:

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

Dani Lischinski: http://www.cs.huji.ac.il/~danix/

【Image editing】Automatic Attribution of Ancient Roman Imperial Coins

PDF: http://yoshi.cs.ucla.edu/upload/CVPR10/data/papers/1950.pdf

Ognjen Arandjelovic:

【Image editing】Removing Rolling Shutter Wobble

PDF: http://research.microsoft.com/pubs/121490/0198.pdf

Simon Baker:

Eric Bennett:

Sing Bing Kang:

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

【Image editing】Super Resolution using Edge Prior and Single Image Detail Synthesis

PDF: http://yuwing.kaist.ac.kr/papers/tai10cvpr_sr.pdf

project: http://yuwing.kaist.ac.kr/projects/superresolution/index.htm

Yu-Wing Tai: http://yuwing.kaist.ac.kr/

Shuaicheng Liu:

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

Stephen Lin:

【Image editing】Coded Exposure Imaging for Projective Motion Deblurring

PDF: http://yuwing.kaist.ac.kr/papers/cvpr10_codedexposure.pdf

project: http://yuwing.kaist.ac.kr/projects/projectivedeblur/index.htm

Yu-Wing Tai: http://yuwing.kaist.ac.kr/

Naejin Kong:

Stephen Lin:

Sung Yong Shin:

【Image editing】Generating Sharp Panoramas from Motion-blurred Videos

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

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

Yunpeng Li:

Sing Bing Kang:

Neel Joshi:

Steve Seitz:

Dan Huttenlocher: http://tech.cornell.edu/dan-huttenlocher/

【Image editing】Robust Flash Deblurring

PDF: http://www.comp.nus.edu/~zhuoshao/flashDeblur/flashdeblur_cvpr10_low.pdf

project: http://www.comp.nus.edu/~zhuoshao/flashDeblur/

Shaojie Zhuo: http://www.comp.nus.edu/~zhuoshao/

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

【Image editing】Analyzing Spatially-varying Blur

PDF: http://www.eecs.harvard.edu/~zickler/papers/svblur_CVPR2010.pdf

Ayan Chakrabarti:

Todd Zickler: http://www.eecs.harvard.edu/~zickler

William Freeman: http://people.csail.mit.edu/billf/

【Image editing】Deconvolutional Networks

PDF: http://cs.nyu.edu/~gwtaylor/publications/mattcvpr2010/deconvolutionalnets.pdf

project: http://www.matthewzeiler.com/pubs/cvpr2010/

Matthew Zeiler: http://www.matthewzeiler.com/

Dilip Krishnan:

Graham Taylor: http://cs.nyu.edu/~gwtaylor

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

【Image editing】Diffusion Filtering Without Parameter Tuning: Models and Inference Tools

PDF: http://yoshi.cs.ucla.edu/upload/CVPR10/data/papers/1869.pdf

Kai Krajsek:

Hanno Scharr:

【Image editing】Model-Based Respiratory Motion Compensation for Image-Guided Cardiac Interventions

Matthias Schneider:

Hari Sundar:

【Image editing】Rectification of figures and photos in document images using bounding box interface

Hyung Il Koo:

Nam Ik Cho:

【Image editing】GPCA with Denoising: A Moments-Based Convex Approach

PDF: http://www1.coe.neu.edu/~necmiye/pub/OzaySLC_CVPR10.pdf

Necmiye Ozay: http://www1.coe.neu.edu/~necmiye

Mario Sznaier:

Constantino Lagoa:

Octavia Camps:

【Image editing】Interest Seam Image

PDF: http://www.eecs.northwestern.edu/~ganghua/publication/CVPR10.pdf

Xiao Zhang:

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

Lei Zhang:

Heung-Yeung Shum:

【Image editing】Image Webs: Computing and Exploiting Connectivity in Image Collections

PDF: http://graphics.stanford.edu/projects/lgl/papers/hgoag-iwcecic-10/hgoag-iwcecic-10.pdf

Kyle Heath: http://geometry.stanford.edu/member/heathkh/index.html

【Image editing】Pareto Discriminant Analysis

PDF: http://www.ca.cs.cmu.edu/projects/parda/parda.pdf

Karim Abou-Moustafa: http://www.cim.mcgill.ca/~karimt/

Fernando De la Torre: http://www.cs.cmu.edu/~ftorre/

Frank Ferrie: http://www.cim.mcgill.ca/~ferrie/

【Image editing】Fast Sparse Representation with Prototypes

PDF: http://faculty.ucmerced.edu/mhyang/papers/cvpr10a.pdf

Jia-Bin Huang:

Ming-Hsuan Yang:

【Computational photography】Global Optimization for Estimating a BRDF with Multiple Specular Lobes

PDF: http://hompi.sogang.ac.kr/fxlab/paper/58.pdf

Chanki Yu:

Yongduek Seo:

Sang-Wook Lee:

【Computational photography】An Approach to Vectorial Total Variation based on Geometric Measure Theory

PDF: http://wwwcremers.in.tum.de/pub/pub/GC10_VTV.pdf

Bastian Goldluecke:

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

【Computational photography】A Theory of Plenoptic Multiplexing

PDF: http://www.cs.ubc.ca/labs/imager/tr/2010/TheoryOfPlenopticMultiplexing/ATheoryOfPlenopticMultiplexing-CVPR2010.pdf

project: http://www.cs.ubc.ca/labs/imager/tr/2010/TheoryOfPlenopticMultiplexing/

Ivo Ihrke: http://www.cs.ubc.ca/~ivoihrke

Gordon Wetzstein: http://www.cs.ubc.ca/~wetzste1

Wolfgang Heidrich: http://www.cs.ubc.ca/~heidrich

【Computational photography】Pose-Robust Albedo Estimation from a Single Image

PDF: http://yoshi.cs.ucla.edu/upload/CVPR10/data/supp/1434-supp.pdf

Soma Biswas:

Rama Chellappa:

【Texture analysis】A New Texture Descriptor Using Multifractal Analysis in Multi-orientation Wavelet Pyramid

PDF: http://www.ist.temple.edu/~hbling/publication/wavelet-cvpr10.pdf

Yong Xu:

Xiong Yang:

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

Hui Ji:

【Texture analysis】Dynamic Texture Recognition based on Distributions of Spacetime Oriented Structure

PDF: http://www.cse.yorku.ca/vision/publications/dynamic-texture-recognition-cvpr2010.pdf

project: http://www.cse.yorku.ca/vision/research/spacetime-texture.shtml

Konstantinos Derpanis:

Richard Wildes:

【Texture analysis】Exploring Features in a Bayesian Framework for Material Recognition

PDF: http://people.csail.mit.edu/celiu/pdfs/maltRecogCVPR10.pdf

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

Lavanya Sharan:

Edward Adelson:

Ruth Rosenholtz:

【Texture analysis】Anomaly Detection in Videos Using Mixtures of Dynamic Textures

Vijay Mahadevan: http://www.svcl.ucsd.edu/~vijay/

Weixin Li:

Viral Bhalodia:

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

【Texture analysis】Clustering Dynamic Textures with the Hierarchical EM Algorithm

PDF: http://cosmal.ucsd.edu/~gert/papers/hemdtm_cvpr.pdf

Antoni Chan:

Emanuele Coviello:

Gert Lanckriet: http://cosmal.ucsd.edu/~gert/

【Illumation analysis】Analysis of Light Transport in Scattering Media

PDF: http://www.am.sanken.osaka-u.ac.jp/~mukaigaw/papers/CVPR2010-LightTransport.pdf

Yasuhiro Mukaigawa: http://www.am.sanken.osaka-u.ac.jp/~mukaigaw/

Yasushi Yagi:

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

【Illumation analysis】Estimating Optical Properties of Layered Surfaces Using the Spider Model

PDF: http://people.cs.uu.nl/robby/pub/10_cvpr.pdf

project: http://people.cs.uu.nl/robby/research.html

Tetsuro Morimoto:

Robby Tan: http://people.cs.uu.nl/robby

Rei Kawakami:

Katsushi Ikeuchi:

【Illumation analysis】Optimal HDR Reconstruction with Linear Digital Cameras

PDF: http://www.mpi-inf.mpg.de/~granados/papers/granados10_opthdr.pdf

Miguel Granados Velasquez: http://www.mpi-inf.mpg.de/~granados/

Boris Ajdin:

Michael Wand:

Christian Theobalt:

Hans-Peter Seidel:

Hendrik Lensch:

【Illumation analysis】Surface Color Estimation Based on Inter- and Intra-Pixel Relationships in Outdoor Scenes

Shun Hirose:

Tsuyoshi Suenaga:

Kentaro Takemura:

Rei Kawakami:

Jun Takamatsu:

Tsukasa Ogasawara:

【Illumation analysis】Object-to-Object Color Transfer: Optimal Flows and SMSP Transformations

PDF: http://www.cs.rpi.edu/~freedd/publications/freedman_10_cvpr.pdf

Daniel Freedman: http://www.cs.rpi.edu/~freedd/

Pavel Kisilev:

【Illumation analysis】Axial Light Field for Curved Mirrors: Reflect Your Perspective, Widen Your View

PDF: http://nae-lab.org/~yuichi/pub/Taguchi_CVPR10_AxialLF.pdf

Yuichi Taguchi:

Amit Agrawal:

Srikumar Ramalingam:

Ashok Veeraraghavan:

【Illumation analysis】Linear View Synthesis Using a Dimensionality Gap Light Field Prior

PDF: http://www.wisdom.weizmann.ac.il/~levina/papers/dimgap/LevinDurand2010-dimgap.pdf

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

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

【Illumation analysis】Illumination Compensation Using Order Consistency

Vasu Parameswaran:

【Illumation analysis】Sign Ambiguity Resolution for Phase Demodulation in Interferometry with Application to Prelens Tear Film Analysis

Dijia Wu:

Kim Boyer:

【Medical image】Object Separation In X-Ray Image Sets

PDF: http://www.cvpapers.com/papers/satisphi_camera_ready.pdf

Geremy Heitz:

Gal Chechik:

【Medical image】Stratified Learning of Local Anatomical Context for Lung Nodules in CT Images

PDF: http://www.cs.jhu.edu/~lelu/publication/CVPR-Nodule-2010.pdf

Dijia Wu:

Le Lu:

Jinbo Bi:

Yoshihisa Shinagawa:

Kim Boyer:

Arun Krishnan:

Marcos Salganicoff:

【Medical image】Neuron Geometry Extraction by Perceptual Grouping in ss TEM images

PDF: http://kaynig.de/kaynig_cvpr2010.pdf

Verena Kaynig:

Thomas Fuchs:

Joachim Buhmann:

【Medical image】An automatic unsupervised classification of MR images in Alzheimer’s disease

PDF: http://filebox.vt.edu/~longxj/1757.pdf

Xiaojing Long:

Chris Wyatt:

【Medical image】Lymph Node Detection in 3-D Chest CT using a Spatial Prior Probability

Johannes Feulner:

Kevin Zhou:

Martin Huber:

Joachim Hornegger:

Comaniciu Dorin:

Alexander Cavallaro:

【Data clustering】Co-clustering of Image Segments Using Convex Optimization Applied to EM Neuronal Reconstruction

PDF: http://yoshi.cs.ucla.edu/upload/CVPR10/data/papers/1803.pdf

Shiv Vitaladevuni:

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

【Data clustering】Authority-Shift Clustering: Hierarchical Clustering by Authority Seeking on Graphs

PDF: http://cv.snu.ac.kr/publication/conf/2010/AuthorityShift_CVPR2010.pdf

Minsu Cho:

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

【Data clustering】Discovering Scene Categories by Information Projection and Cluster Sampling – formely: Discovering Image Categories by Information Projection and Cluster Sampling

Dengxin Dai:

Tianfu Wu:

Song-Chun Zhu:

【Data clustering】Classification and Clustering via Dictionary Learning with Structured Incoherence

PDF: http://imglab02.ece.umn.edu:4134/~nacho/data/documents/papers/1037.pdf

Pablo Sprechmann:

Ignacio Ramirez:

Guillermo Sapiro: http://www.ece.umn.edu/~guille/

【Space reduction】Parametric Dimensionality Reduction by Unsupervised Regression

PDF: http://faculty.ucmerced.edu/mcarreira-perpinan/papers/cvpr10b.pdf

Miguel Carreira-perpinan:

Zhengdong Lu:

【Space reduction】Sufficient Dimensionality Reduction for Visual Sequence Classification

PDF: http://ttic.uchicago.edu/~rurtasun/publications/shyr_urtasun_jordan_cvpr10.pdf

Alex Shyr:

Raquel Urtasun: http://ttic.uchicago.edu/~rurtasun

Michael Jordan: http://www.cs.berkeley.edu/~jordan/

【Machine learning】P-N Learning: Bootstrapping Binary Classifiers from Unlabeled Data by Structural Constraints

PDF: http://eprints.pascal-network.org/archive/00006951/01/cvpr2010.pdf

Zdenek Kalal:

Jiri Matas:

Krystian Mikolajczyk:

【Machine learning】A theory of phase-sensitive rotation invariance with spherical harmonic and moment-based representations

PDF: http://www3.ntu.edu.sg/home/ramakrishna/invariants_cvpr10.pdf

Ramakrishna Kakarala: http://www3.ntu.edu.sg/home/ramakrishna

Dansheng Mao:

【Machine learning】RASL: Robust Alignment by Sparse and Low-rank Decomposition for Linearly Correlated Images

PDF: http://watt.csl.illinois.edu/~yima/psfile/RASL_CVPR10.pdf

Yigang Peng:

Arvind Balasubramanian:

John Wright:

Ma Yi:

【Machine learning】Efficient Computation of Robust Low-Rank Matrix Approximations in the Presence of Missing Data using the $L_1$ Norm

PDF: http://acvtech.files.wordpress.com/2010/06/robustl1_eriksson.pdf

Anders Eriksson:

Anton van den Hengel: http://www.cs.adelaide.edu.au/~hengel/

【Machine learning】Online-Batch Strongly Convex Multi Kernel Learning

PDF: http://francesco.orabona.com/papers/10cvpr_a.pdf

Francesco Orabona: http://francesco.orabona.com/

Jie Luo:

Barbara Caputo:

【Machine learning】Ink-Bleed Reduction using Functional Minimization

PDF: http://yoshi.cs.ucla.edu/upload/CVPR10/data/papers/0468.pdf

Grani Adiwena Hanasusanto:

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

Zheng Wu:

【Machine learning】Covering Trees and Lower-bounds on Quadratic Assignment

PDF: http://www.ics.uci.edu/~fowlkes/papers/yfi-cvpr10.pdf

Julian Yarkony:

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

Alex Ihler:

【Machine learning】Efficient Piecewise Learning for Conditional Random Fields

PDF: http://cms.brookes.ac.uk/staff/Karteek/papers/alahari10a.pdf

Karteek Alahari: http://cms.brookes.ac.uk/staff/Karteek

Chris Russell:

Philip H. S. Torr: http://cms.brookes.ac.uk/staff/PhilipTorr/

【Machine learning】Surface Extraction from Binary Volumes with Higher-Order Smoothness

PDF: http://www.robots.ox.ac.uk/~vilem/cvpr2010b.pdf

Victor Lempitsky: http://www.robots.ox.ac.uk/~vilem/

【Machine learning】Disambiguating Visual Relations Using Loop Constraints

PDF: http://www.inf.ethz.ch/personal/chzach/pdf/cvpr2010-preprint.pdf

Christopher Zach: http://www.inf.ethz.ch/personal/chzach

Manfred Klopschitz:

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

【Machine learning】Probabilistic 3D Occupancy Flow with Latent Silhouette Cues

PDF: http://hal.archives-ouvertes.fr/docs/00/46/30/31/PDF/cvpr2010.pdf

Li Guan:

Jean-Sebastien Franco:

Edmond Boyer:

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

【Machine learning】Online Multiple Instance Learning with No Regret

PDF: http://www.cs.ust.hk/~jamesk/papers/cvpr10.pdf

Li Mu: http://write.blog.csdn.net/postedit/39696411

James Kwok:

Lu Bao-liang:

【Machine learning】A generative perspective on MRFs in low-level vision

PDF: http://www.gris.informatik.tu-darmstadt.de/~sroth/pubs/cvpr10schmidt.pdf

Uwe Schmidt: http://www.uweschmidt.org/

Qi Gao:

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

【Machine learning】Manifold Blurring Mean Shift Algorithms

PDF: https://eng.ucmerced.edu/people/wwang5/papers/cvpr10a.pdf

Weiran Wang:

Miguel Carreira-perpinan: http://faculty.ucmerced.edu/mcarreira-perpinan/papers.html

【Machine learning】SVM for Edge-Preserving Filtering

PDF: http://vision.ai.uiuc.edu/~qyang6/publications/cvpr-10-qingxiong-yang-svmbf.pdf

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

Shengnan Wang:

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

【Machine learning】Transform Coding for Fast Approximate Nearest Neighbor Search in High Dimensions

PDF: http://yoshi.cs.ucla.edu/upload/CVPR10/data/papers/0557.pdf

Jonathan Brandt:

【Machine learning】Boosting for Transfer Learning with Multiple Auxiliary Domains

Gianfranco Doretto:

Yi Yao:

【Machine learning】Energy Minimization for Linear Envelope MRFs

PDF: http://research.microsoft.com/en-us/um/people/pkohli/papers/kk_cvpr2010.pdf

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

  1. Pawan Kumar:

【Machine learning】Unified Graph Matching in Euclidean Spaces

PDF: http://users.cecs.anu.edu.au/~julianm/pdfs/cvpr10.pdf

Julian Mc Auley:

Teofilo de Campos:

Tiberio Caetano:

【Machine learning】On-line Semi-supervised Multiple-Instance Boosting

PDF: http://www.ymer.org/papers/files/2010-MILSERBoost.pdf

Bernhard Zeisl: http://campar.in.tum.de/Main/BernhardZeisl

Christian Leistner: http://www.icg.tugraz.at/Members/leistner

Amir Saffari: http://www.ymer.org/amir/

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

【Machine learning】Robust RVM Regression Using Sparse Outlier Model – formely: Robust Relevance Vector Machine Regression

Kaushik Mitra:

Ashok Veeraraghavan:

Rama Chellappa:

【Machine learning】Spherical Embeddings for non-Euclidean Dissimilarities

PDF: http://homepage.tudelft.nl/a9p19/papers/cvpr_10_embedding.pdf

Richard Wilson:

Edwin Hancock:

Robert Duin:

Elzbieta Pekalska:

【Machine learning】Randomized Hybrid Linear Modeling by Local Best-fit Flats

PDF: http://arxiv.org/abs/1005.0858

Teng Zhang:

Arthur Szlam:

Yi Wang:

Gilad Lerman:

【Machine learning】Putting Local Features on a Manifold

PDF: http://paul.rutgers.edu/~mtorki/2121.pdf

Marwan Torki: http://paul.rutgers.edu/~mtorki/

Ahmed Elgammal:

【Machine learning】Parallel and Distributed Graph Cuts by Dual Decomposition

PDF: http://www.maths.lth.se/vision/publdb/reports/pdf/strandmark-kahl-cvpr-2010.pdf

Petter Strandmark: http://www.maths.lth.se/matematiklth/personal/petter/

Fredrik Kahl: http://www.maths.lth.se/matematiklth/personal/fredrik/

【Machine learning】Discrete minimum ratio curves and surfaces

PDF: http://cms.brookes.ac.uk/staff/PhilipTorr/Papers/2010/fn10-cvpr.pdf

Fred Nicolls:

Phil Torr:

【Machine learning】Fast Approximate Energy Minimization with Label Costs

PDF: http://www.csd.uwo.ca/~adelong3/pub/cvpr2010labelcosts.pdf

code: http://vision.csd.uwo.ca/code/

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

Anton Osokin:

Hossam Isack:

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

【Machine learning】A Study on Continuous Max-Flow and Min-Cut Approaches

PDF: ftp://ftp.math.ucla.edu/pub/camreport/cam10-61.pdf

Jing Yuan:

Egil Bae:

Xuecheng Tai:

【Machine learning】Beyond Trees: MRF Inference via Outer-Planar Decomposition

PDF: http://www.ece.cmu.edu/~dbatra/publications/assets/opd_cvpr10.pdf

Dhruv Batra: http://www.ece.cmu.edu/~dbatra/

Andrew Gallagher:

Devi Parikh: https://filebox.ece.vt.edu/~parikh/

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

【Machine learning】ABSORB: Atlas Building by Self-Organized Registration and Bundling

Hongjun Jia:

Guorong Wu:

Qian Wang:

Dinggang Shen:

【Machine learning】Delineating Trees in 2D Images and 3D Image Stacks

PDF: http://cvlab.epfl.ch/~ggonzale/publications/posters/Gonzalez-et-alCVPR10.pdf

German Gonzalez:

Engin Turetken:

Francois Fleuret:

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

【Machine learning】Anatomical Parts-Based Regression Using Non-Negative Matrix Factorization

PDF: http://vision.ece.ucsb.edu/publications/protected/joshi_CVPR_2010.pdf

Swapna Joshi:

Karthikeyan Shanmugavadivel:

B.S. Manjunath:

Scott Grafton:

Kent Kiehl:

【Machine learning】Group MRF for f MRI Activation Detection

PDF: http://www.cs.sfu.ca/~hamarneh/ecopy/cvpr2010b.pdf

Bernard Ng:

Rafeef Abugharbieh:

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

【Machine learning】Relaxing the 3L algorithm for an accurate implicit polynomial fitting

PDF: http://www.cvc.uab.es/~rouhani/cvpr.pdf

Angel Sappa:

Mohammad Rouhani: http://www.cvc.uab.es/~rouhani

【Machine learning】Fast Global Optimization of Curvature

PDF: http://www.cns.bu.edu/~lgrady/elzehiry2010fast.pdf

Noha El-Zehiry:

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

【Machine learning】Vessel Scale Selection using MRF Optimization

PDF: http://www.cs.sfu.ca/~hamarneh/ecopy/cvpr2010a.pdf

Hengameh Mirzaalian:

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

【Machine learning】Weakly-Supervised Hashing in Kernel Space

PDF: http://www.lv-nus.org/papers/2010/cvpr10-hash.pdf

Yadong Mu:

Jialie Shen:

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

【Machine learning】Bayes Optimal Kernel Discriminant Analysis

PDF: http://www2.ece.ohio-state.edu/~aleix/cvpr10.pdf

Di You:

Aleix Martinez:

【Machine learning】Efficient Additive Kernels via Explicit Feature Maps

PDF: http://www.vlfeat.org/~vedaldi/assets/pubs/vedaldi10efficient.pdf

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

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

【Machine learning】Data Driven Mean-Shift Belief Propagation For non-Gaussian MRFs

PDF: http://vision.cse.psu.edu/paper/CVPR2010DDMSBP0291.pdf

Minwoo Park:

Somesh Kashyap:

Bob Collins:

Yanxi Liu:

【Machine learning】Online Multi-Class LPBoost

PDF: http://www.ymer.org/papers/files/2010-OMCLPBoost.pdf

Amir Saffari: http://www.ymer.org/amir/

Martin Godec: http://lrs.icg.tugraz.at/members/godec.php

Thomas Pock: http://www.icg.tugraz.at/Members/pock

Christian Leistner: http://www.icg.tugraz.at/Members/leistner

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

【Machine learning】Multi-Structure Model Selection via Kernel Optimization

Tat-Jun Chin:

David Suter:

Hanzi Wang:

【Machine learning】Data Fusion through Cross-modality Metric Learning using Similarity-Sensitive Hashing

PDF: http://visl.technion.ac.il/bron/publications/BroBroMicParCVPR10.pdf

Michael Bronstein:

Alexander Bronstein:

Nikos Paragios:

Fabrice Michel:

【Deep learning】Modeling Pixel Means and Covariances Using Factorized Third-Order Boltzmann Machines – formely: Making Boltzmann Machines Sharper by Using Dissatisfied Covariance Constraints

Marc’Aurelio Ranzato:

Geoffrey Hinton: http://www.cs.toronto.edu/~hinton/