2011 ICCV

下面是2011ICCV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】Structured Class-Labels in Random Forests for Semantic Image Labelling

PDF: http://www.icg.tugraz.at/Members/kontschieder/iccv11.pdf

Peter Kontschieder:

Samuel Rota Bulò:

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

Marcello Pelillo:

【Scene parsing】Discovering Favorite Views of Popular Places with Iconoid Shift

PDF: http://www.mmp.rwth-aachen.de/publications/pdf/weyand-iconoidshift-iccv11.pdf

Tobias Weyand:

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

【Scene parsing】Weakly Supervised Semantic Segmentation with Multi Image Model

PDF: http://www.vision.ee.ethz.ch/~calvin/Publications/vezhnevets11iccv.pdf

Alexander Vezhnevets:

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

Joachim M. Buhmann:

【Scene parsing】Extracting Adaptive Contextual Cues from Unlabeled Regions

PDF: http://ttic.uchicago.edu/~dparikh/Publications/LiParikhChen_ICCV2011_unlabeled.pdf

project: http://chenlab.ece.cornell.edu/projects/AdaptiveContext/

Congcong Li:

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

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

【Scene parsing】Video Parsing for Abnormality Detection

Borislav Antic(University of Heidelberg):

Bjorn Ommer:

【Scene parsing】Image Based Detection of Geometric Changes in Urban Environments

PDF: http://www.inf.ethz.ch/personal/lballan/pdfs/taneja_iccv11.pdf

Aparna Taneja(ETH):

Luca Ballan (ETH):

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

【Scene parsing】2D-3DFusion for Layer Decomposition of Urban Facades

PDF: http://web.siat.ac.cn/~vcc/publications/2011/fusion/2D-3D-Fusion_ICCV_2011.pdf

project: http://web.siat.ac.cn/~vcc/publications/2011/fusion/

Yangyan Li (SIAT):

Qian Zheng (SIAT):

Andrei Sharf (Ben-Gurion University):

Daniel Cohen-Or (Tel Aviv University):

Baoquan Chen (SIAT, China):

Niloy J. Mitra (University College London):

【Scene parsing】Real-time Indoor Scene Understanding using Bayesian Filtering with Motion Cues

PDF: http://www.eecs.umich.edu/~kuipers/papers/Tsai-iccv-11.pdf

Grace Tsai(University of Michigan):

Changhai Xu (University of Texas at Austin):

Jingen Liu:

Benjamin Kuipers:

【Scene parsing】Visual Word Disambiguation by Semantic Contexts

PDF: http://users.info.unicaen.fr/~jurie/papers/11_ICCV_visual_word_disambiguation.pdf

Yu Su:

Universityof Caen (France):

Frederic Jurie:

【Scene parsing】Understanding Scenes on Many Levels

PDF: http://www.cs.unc.edu/~lazebnik/publications/jtighe_iccv11.pdf

Joseph Tighe: http://cs.unc.edu/~jtighe/

Svetlana Lazebnik: http://www.cs.illinois.edu/homes/slazebni/

【Scene parsing】Multi-view Repetitive Structure Detection

PDF: http://www.ece.nus.edu.sg/stfpage/eletp/Papers/iccv11.pdf

Nianjuan Jiang:

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

Loong Fah Cheong:

【Object segmentation】Bi Co S:A Bi-level Co-Segmentation Method for Image Classification

PDF: http://www.robots.ox.ac.uk/~vilem/iccv2011.pdf

Yuning Chai(ETHZ):

Victor Lempitsky:

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

【Object segmentation】Convex Multi-Region Probabilistic Segmentation with Shape Prior in the Isometric Logratio Transformation Space

PDF: http://www.cs.sfu.ca/~hamarneh/ecopy/iccv2011.pdf

Shawn Andrews(Simon Fraser University):

Chris Mc Intosh (Simon Fraser University):

Ghassan Hamarneh (Simon Fraser University):

【Object segmentation】Object Segmentation in Video: A Hierarchical Variational Approach for Turning Point Trajectories into Dense Regions

PDF: http://lmb.informatik.uni-freiburg.de/people/brox/pub/ochs_iccv11.pdf

Peter Ochs:

Thomas Brox: http://lmb.informatik.uni-freiburg.de/people/brox/index.en.html

【Object segmentation】patio-Temporal Clustering of Probabilistic Region Trajectories

Fabio Galasso(University of Cambridge):

Masahiro Iwasaki (Panasonic corp.):

Kunio Nobori(Panasonic):

Roberto Cipolla (University of Cambridge): http://mi.eng.cam.ac.uk/~cipolla/index.htm

【Object segmentation】eneralized Background Subtraction Based on Hybrid Inference by Belief Propagation and Bayesian Filtering

PDF: http://www.postech.ac.kr/~bhhan/papers/iccv2011_gbs.pdf

Suha Kwak(POSTECH):

Taegyu Lim (POSTECH):

Woonhyun Nam (POSTECH):

Bohyung Han (POSTECH):

Joon H. Han (POSTECH):

【Object segmentation】Object Detection and Segmentation from Joint Embedding of Parts and Pixels

PDF: http://www.cs.bc.edu/~syu/publication/doc/2011objICCV.pdf

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

Stella X. Yu:

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

【Object segmentation】Distributed Cosegmentation via Submodular Optimization on Anisotropic Diffusion

PDF: http://www.cs.cmu.edu/~gunhee/publish/iccv11_coseg.pdf

project: http://www.cs.cmu.edu/~gunhee/r_seg_submod.html

Gunhee Kim (CMU): http://www.cs.cmu.edu/~gunhee/index.html

Eric P. Xing (CMU):

Li Fei-Fei (Stanford):

Takeo Kanade (CMU):

【Object segmentation】Extracting Foreground Masks towards Object Recognition

PDF: http://www.cs.huji.ac.il/~daphna/papers/Rosenfeld_ICCV2011.pdf

Amir Rosenfeld:

Daphna Weinshall: http://www.cs.huji.ac.il/~daphna/

【Object segmentation】Stereo Cut:Consistent Interactive Object Selection in Stereo Image Pairs

Brian Price:

Scott Cohen (Adobe Systems):

【Object segmentation】Are Spatial and Global Constraints Really Necessary for Segmentation?

PDF: http://cvlab.epfl.ch/publications/publications/2011/Lucchi11.pdf

Aurelien Lucchi:

Yunpeng Li:

Xavier Boix:

Kevin Smith:

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

【Object segmentation】Segmentationfrom a Box

PDF: http://www.cns.bu.edu/~lgrady/grady2011segmentation.pdf

Leo Grady:

Marie-Pierre Jolly:

Aaron Seitz:

【Object segmentation】Learning Specific-Class Segmentation from Diverse Data

PDF: http://ai.stanford.edu/~pawan/publications/KTPK-ICCV2011.pdf

Pawan Kumar:

Haithem Turki:

Dan Preston:

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

【Object segmentation】ANonparametric Riemannian Framework on Tensor Field with Application to Foreground Segmentation

PDF: http://www.isr.uc.pt/~pedromartins/Publications/ICCV2011_RuiCaseiro.pdf

Rui Caseiro (ISR-FCTUC):

João F. Henriques (ISR-FCTUC):

Pedro Martins (ISR-FCTUC):

Jorge Batista (ISR-FCTUC):

【Object segmentation】Simultaneous Multi-Body Stereo and Segmentation

PDF: http://www.cse.cuhk.edu.hk/~leojia/papers/stereo_seg_iccv11.pdf

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

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

Hujun Bao:

【Object segmentation】Key-Segments for Video Object Segmentation

PDF: http://www.cs.utexas.edu/~grauman/papers/iccv2011_keysegments.pdf

Yong Jae Lee:

Jaechul Kim:

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

【Image segmentation】Recursive MDL via Graph Cuts: Application to Segmentation

PDF: http://www.csd.uwo.ca/~adelong3/pub/iccv2011recursivemdl.pdf

Lena Gorelick:

Andrew Delong:

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

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

【Image segmentation】Multi-task Low-Rank Affinities Pursuit for Image Segmentation

Bin Cheng (NUS):

Guangcan Liu (NUS):

Jingdong Wang:

Zhongyang Huang (Panasonic):

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

【Image segmentation】Structure-sensitive Superpixels via Geodesic Distance

Gang Zeng:

Peng Wang(Peking Univ):

Jingdong Wang:

Rui Gan:

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

【Image segmentation】Image Segmentation by Figure-Ground Composition into Maximal Cliques

PDF: http://sminchisescu.ins.uni-bonn.de/papers/ics_iccv11.pdf

Adrian Ion:

Joao Carreira:

Cristian Sminchisescu:

【Image segmentation】AConvex Framework for Image Segmentation with Moment Constraints

PDF: http://cvpr.in.tum.de/_media/spezial/bib/kc11_iccv.pdf

Maria Klodt (TUMünchen):

Daniel Cremers (TU Munich): http://vision.in.tum.de/

【Image segmentation】Probabilistic Image Segmentation with Closedness Constraints

Bjoern Andres(University of Heidelberg):

Joerg Kappes (Heidelberg University):

Thorsten Beier (University of Heidelberg):

Ullrich Koethe (Univ. Heidelberg):

Fred Hamprecht (Univ. of Heidelberg):

【Image segmentation】Superpixels via Pseudo-Boolean Optimization

Yuhang Zhang (The Australian National Uni):

Richard Hartley (The Australian National University):

John Mashford (CSIRO):

Stewart Burn (CSIRO):

【Image segmentation】Segmentation Fusion for Connectomics

project: http://gvi.seas.harvard.edu/paper/segmentation-fusion-connectomics

Amelio Vazquez-Reina (Harvard and Tufts):

Michael Gelbart (Harvard):

Daniel Huang (Harvard):

Jeff Lichtman (Harvard):

Eric Miller (Tufts):

Hanspeter Pfister (Harvard):

【Image segmentation】Integrating Local Classifiers through Nonlinear Dynamics on Label Graphs with an Application to Image Segmentation

PDF: http://www.ics.uci.edu/~yutianc/ChenGelfandFowlkesWelling-ICCV11-HerdingCRFImSeg.pdf

Yutian Chen (UCIrvine): http://yutianchen.com/

Andrew Gelfand:

University of California (Irvine):

Charless Fowlkes(UC Irvine): http://www.ics.uci.edu/~fowlkes/

Max Welling (UC Irvine): http://www.ics.uci.edu/~welling/

【Contour analysis】A New Distance for Scale-Invariant 3D Shape Recognition and Registration

PDF: http://crl.sharkdolphin.com/common/srt_distance/srt_distance.pdf

project: http://crl.sharkdolphin.com/common/srt_distance/

Minh-Tri Pham:

Oliver J.Woodford:

Frank Perbet:

Atsuto Maki:

Björn Stenger:

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

【Contour analysis】Image Representation by Active Primitives

Wenze Hu (UCLA):

Ying Nian Wu (UCLA):

Song-Chun Zhu (UCLA):

【Contour analysis】Optimal Landmark Detection using Shape Models and Branch and Bound

PDF: http://gravis.cs.unibas.ch/publications/2011/ICCV2011_Amberg.pdf

Brian Amberg:

Thomas Vetter:

【Contour analysis】Minimum Near-Convex Decomposition for Robust Shape Representation

PDF: http://eeeweba.ntu.edu.sg/computervision/Research Papers/2011/Minimum Near-Convex Decomposition for Robust Shape Representation.pdf

Zhou Ren (Nanyang Technological Univ.):

Junsong Yuan (Nanyang Technological University):

Li Chunyuan (Huazhong Univ. of Sci. and Tech.):

Liu Wenyu (Huazhong Univ. of Sci.and Tech.):

【Contour analysis】Semantic Contours from Inverse Detectors

PDF: http://www.cs.berkeley.edu/~bharath2/pubs/pdfs/BharathICCV2011.pdf

Bharath Hariharan:

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

Lubomir Bourdev:

Subhransu Maji: http://people.cs.umass.edu/~smaji/

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

【Contour analysis】Shared Shape Spaces

Victor Prisacariu(University of Oxford):

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

【Contour analysis】Active Geodesics: Region based Active Contour Segmentation with a Global Edge based Constraint

PDF: http://users.ece.gatech.edu/~vappia3/active_geodesics.pdf

Vikram Appia(Georgia Tech):

Anthony Yezzi (Georgia Institute of Technology):

【Contour analysis】Shape-constrained Gaussian Process Regression for Facial-point-based Head-pose Normalization

Ognjen Rudovic(Imperial College London):

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

【Contour analysis】Multiscale,Curvature-Based Shape Representation for Surfaces

Ruirui Jiang(Stony Brook University):

David Gu:

【Contour analysis】Robust Consistent Correspondence Between 3D Non-Rigid Shapes Based On “Dual Shape-DNA”

Huai-Yu Wu(Peking University &):

NLPR (CASIA):

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

【Contour analysis】Means in spacesof tree-like shapes

PDF: http://image.diku.dk/aasa/iccv2011_cameraready.pdf

Aasa Feragen:

Søren Hauberg:

Mads Nielsen:

François Lauze:

【Object tracking】DTAM:Dense Tracking and Mapping in Real-Time

PDF: http://www.doc.ic.ac.uk/~ajd/Publications/newcombe_etal_iccv2011.pdf

Richard A.Newcombe:

Steven Lovegrove:

Andrew J. Davison:

【Object tracking】Tracking Multiple People under Global Appearance Constraints

PDF: http://cvlab.epfl.ch/publications/publications/2011/BenshitritBFF11.pdf

Horesh Ben Shitrit:

Jerome Berclaz:

Francois Fleuret:

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

【Object tracking】Treatsamples differently: Object tracking with semi-supervised online Cov Boost

Guorong Li (CAS):

Lei Qin:

Qingming Huang (Graduate Univ of Chinese Academy of Sciences):

Junbiao Pang:

Shuqiang Jiang:

【Object tracking】Graphmode-based contextual kernels for robust SVM tracking

Xi Li (Universityof Adelaide):

Anthony Dick (The University of Adelaide):

Hanzi Wang:

Chunhua Shen (University of Adelaide):

Anton vanden Hengel:

【Object tracking】Blurred Target Tracking by Blur-driven Tracker

PDF: http://www.dabi.temple.edu/~hbling/publication/BLUT_iccv_11.pdf

Yi Wu:

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

Jingyi Yu:

Feng Li:

Xue Mei:

Erkang Cheng:

【Object tracking】Superpixel Tracking

PDF: http://ice.dlut.edu.cn/lu/Paper/ICCV2011/superpixel.pdf

project: http://ice.dlut.edu.cn/lu/iccv_spt_webpage/iccv_spt.htm

Shu Wang:

Huchuan Lu: http://ice.dlut.edu.cn/lu/index.html

Fan Yang:

Ming-Hsuan Yang:

【Object tracking】Learning Occlusion with Likelihoods for Visual Tracking

PDF: http://www.postech.ac.kr/~bhhan/papers/iccv2011_occlusion.pdf

Suha Kwak:

Woonhyun Nam:

Bohyung Han:

Joon H. Han:

【Object tracking】Physically-based Motion Models for 3D Tracking: A Convex Formulation

PDF: http://ttic.uchicago.edu/~rurtasun/publications/salzmann_urtasun_iccv11.pdf

Mathieu Salzmann(TTI Chicago):

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

【Object tracking】Dynamic Subspace-Based Coordinated Multicamera Tracking

Mustafa Ayazoglu(Northeastern University):

Binlong Li (Northeastern University):

Caglayan Dicle(Northeastern University):

Mario Sznaier (Northeastern University):

Octavia Camps:

【Object tracking】Struck:Structured Output Tracking with Kernels

PDF: http://www.samhare.net/research/files/iccv2011_struck.pdf

project: http://www.samhare.net/research/struck/

Sam Hare:

Amir Saffari:

Philip H.S. Torr:

【Object tracking】Multi-hypothesis Motion Planning for Visual Object Tracking

PDF: http://www.cis.upenn.edu/~jshi/papers/ICCV-2011-Tracking-Planning.pdf

Haifeng Gong(University of Pennsylvania):

Jack Sim (University of Pennsylvania):

Maxim Likhachev (Carnegie Mellon University):

Jianbo Shi (Universityof Pennsylvania”): http://www.cis.upenn.edu/~jshi/

【Object tracking】Trackingby Sampling Trackers

PDF: http://cv.snu.ac.kr/publication/conf/2011/VTS_ICCV2011.pdf

Junseok Kwon:

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

【Object tracking】Globally Optimal Solution to Multi-Object Tracking with Merged Measurements

PDF: http://www.isr.uc.pt/~ruicaseiro/ICCV2011/ICCV2011_Henriques.pdf

João F. Henriques (ISR-FCTUC):

Rui Caseiro (ISR-FCTUC):

Jorge Batista (ISR-FCTUC):

【Object tracking】An adaptivecoupled-layer visual model for robust visual tracking

PDF: http://vicos.fri.uni-lj.si/data/publications/cehovin2011tracking.pdf

Luka Cehovin(University of Ljubljana):

Matej Kristan (University of Ljubljana):

Ales Leonardis (University of Ljubljana):

【Object tracking】Hough-based Tracking of Non-Rigid Objects

PDF: http://lrs.icg.tugraz.at/pubs/godec_iccv_11.pdf

project: http://lrs.icg.tugraz.at/research/houghtrack/

Martin Godec (TUGraz):

Peter M. Roth (TUGraz):

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

【Object tracking】Linear Time Offline Tracking and Lower Envelope Algorithms

PDF: http://www.cs.duke.edu/~tomasi/papers/gu/guIccv11.pdf

Steve Gu:

Ying Zheng:

Carlo Tomasi:

【Object tracking】Fast Articulated Motion Tracking using a Sums of Gaussians Body Model

PDF: http://www.mpi-inf.mpg.de/~stoll/paper/sog.pdf

Carsten Stoll (MPIInformatik):

Nils Hasler:

Juergen Gall (ETH Zurich): http://www.iai.uni-bonn.de/~gall/

Hans-Peter Seidel:

Christian Theobalt:

【Object tracking】Level-Set Person Segmentation and Tracking with Multi-Region Appearance Models and Top-Down Shape Information

PDF: http://www.mmp.rwth-aachen.de/publications/pdf/horbert-person-segm-iccv11.pdf

Esther Horbert:

Konstantinos Rematas:

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

【Action recognition】Sparse Dictionary-based Representation and Recognition of Action Attributes

PDF: http://www.cs.umd.edu/~qiu/pub/mmi-iccv11.pdf

code: http://www.cs.umd.edu/~qiu/pub/mmi_dict.zip

Qiang Qiu (U. of Maryland College Park):

Zhuolin Jiang (University of Maryland):

Rama Chellappa(UMD):

【Action recognition】Outdoor Human Motion Capture using Inverse Kinematics and von Mises-Fisher Sampling PD

PDF: http://www.mpi-inf.mpg.de/~mmueller/publications/2011_PonsBaakGallTaxieMuellerSeidelRosenhahn_OutdoorHumanMocap_ICCV.pdf

project: http://www.tnt.uni-hannover.de/papers/view_paper.php?id=901

Gerard Pons-Moll:

Andreas Baak:

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

Laura Leal-Taixe:

Meinard Mueller:

Hans-Peter Seidel:

Bodo Rosenhahn:

【Action recognition】Action Recognition using Rank-1 Approximation of Joint Self-Similarity Volume

PDF: http://www.cvpapers.com/papers/Sun-Junejo-Foroosh-ICCV2011.pdf

Chuan Sun (UCF):

Imran Junejo:

Hassan Foroosh (UCF):

【Action recognition】Actively Selecting Annotations Among Objects and Attributes

PDF: http://www.cs.utexas.edu/~grauman/papers/kovashka_iccv2011.pdf

Adriana Kovashka:

Sudheendra Vijayanarasimhan:

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

【Action recognition】A”String of Feature Graphs” Model for Recognition of Complex Activities in Natural Videos

PDF: http://www.ee.ucr.edu/~amitrc/iccv-SFG.pdf

Utkarsh Gaur:

Yingying Zhu:

Bi Song:

Amit Roy-Chowdhury:

【Action recognition】Learning Spatiotemporal Graphs of Human Activities

PDF: http://web.engr.oregonstate.edu/~sinisa/research/publications/iccv11_graph.pdf

William Brendel:

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

【Action recognition】Human Action Recognition by Learning Bases of Action Attributes and Parts

PDF: http://people.csail.mit.edu/khosla/papers/iccv2011_yao.pdf

Bangpeng Yao:

Xiaoye Jiang:

Aditya Khosla:

Andy Lai Lin:

Leonidas J. Guibas:

Li Fei-Fei:

【Action recognition】Unsupervised Learning of Event AND-OR Grammar and Semantics from Video

PDF: http://www.stat.ucla.edu/~sczhu/papers/Conf_2011/Si_Learn_Event_AoG_ICCV11.pdf

Zhangzhang Si(UCLA):

Mingtao Pei (UCLA):

Benjamin Yao (UCLA):

Song-Chun Zhu (UCLA):

【Action recognition】Action Recognition in Cluttered Dynamic Scenes using Pose-Specific Part Models

Shandong Wu(University of Central Florida):

Omar Oreifej:

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

【Action recognition】AChains Model for Localizing Group Activities in Videos

PDF: http://web.engr.oregonstate.edu/~sinisa/research/publications/iccv11_chain.pdf

Mohamed R.Amer:

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

【Action recognition】Parsing Video Events with Goal inference and Intent Prediction

PDF: http://civs.stat.ucla.edu/Event/EventParsing_files/Parsing_Video_Events.pdf

Mingtao Pei:

School of Computer Science (Beijing Institute of Technology):

Yunde Jia:

Song-Chun Zhu (UCLA):

【Action recognition】ASelective Spatio-Temporal Interest Point Detector for Human Action Recognitionin Complex Scenes

Bhaskar Chakraborty (Computer Vision Center):

Michael Holte (Aalborg University):

Thomas Moeslund (Aalborg University):

Jordi Gonzàlez (CVC-UAB):

Xavier Roca(Computer Vision Center):

【Action recognition】Efficient Regression of General-Activity Human Poses from Depth Images

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

Jamie Shotton (Microsoft Research Cambridge): http://research.microsoft.com/en-us/groups/vision/default.aspx

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

Antonio Criminisi:

Andrew Fitzgibbon:

【Action recognition】Automatic Construction of an Action Video Shot Database using Web Videos

PDF: http://mm.cs.uec.ac.jp/doc/iccv2011.pdf

Do Hang Nga:

Keiji Yanai:

【Action recognition】Feature Seeding for Action Recognition

PDF: http://www.ri.cmu.edu/pub_files/2011/11/iccv2011-pyry.pdf

Pyry Matikainen(Carnegie Mellon University):

Rahul Sukthankar:

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

【Action recognition】Spectral Learning of Latent Semantics for Action Recognition

Zhiwu Lu (Peking University):

Yuxin Peng (Peking University):

Horace Ip:

【Action recognition】Learningparameterized histogram kernels on the simplex manifold for image and actionclassification

PDF: http://cs-people.bu.edu/ablavsky/publications/ablavsky_iccv2011-tr.pdf

Vitaly Ablavsky:

Stan Sclaroff:

【Action recognition】Isotonic CCA for Sequence Alignment and Activity Recognition

Shahriar Shariat(Rutgers):

Vladimir Pavlovic:

【Action recognition】Dynamic Manifold Warping for View Invariant Action Recognition

PDF: http://www-scf.usc.edu/~diangong/index_files/ICCV2011.pdf

Dian Gong (Univ.of Southern California):

Gerard Medioni:

【Action recognition】Action Recognition in Cluttered Dynamic Scenes using Pose-Specific Part Models

Vivek Singh(USC):

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

【Action recognition】Human Activity Prediction: Early Recognition of Ongoing Activities from Streaming Videos

PDF: http://cvrc.ece.utexas.edu/mryoo/papers/iccv11_prediction_ryoo.pdf

  1. S. Ryoo:

【Action recognition】Discriminative Figure-Centric Models for Joint Action Localization and Recognition

PDF: http://www.sfu.ca/~tla58/pdf/lan_iccv11.pdf

Tian Lan:

Yang Wang:

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

【Action recognition】Understanding Egocentric Activities

PDF: http://www.cc.gatech.edu/~afathi3/publication/ICCV11.pdf

Alireza Fathi:

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

James M. Rehg:

【Crowd analysis】Source Constrained Clustering

Ekaterina Taralova (Carnegie Mellon University):

Fernando Dela Torre:

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

【Crowd analysis】Inferring Social Relations from Visual Concepts

Lei Ding(Columbia University):

Alper Yilmaz:

【Crowd analysis】Data-driven Crowd Analysis in Videos

PDF: http://www.di.ens.fr/~laptev/projects/2011_iccv_rodriguez_datadriven.pdf

project: http://www.di.ens.fr/~rodrigue/

Mikel Rodriguez:

Josef Sivic:

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

Jean-Yves Audibert:

【Human detection】Contour Code: Robust and Efficient Multispectral Palmprint Encoding for Human Recognition

PDF: https://docs.google.com/viewer?a=v&pid=explorer&chrome=true&srcid=0B0M2zmshL10IYWJmMzdjYjAtMDI0MC00MDk4LWIzZTEtNGZjY2FhNTg4OGJi&hl=en_US&pli=1

Zohaib Khan (UWA):

Ajmal Mian (UWA):

Yiqun Hu (UWA):

【Human detection】HMDB:A Large Video Database for Human Motion Recognition

Hildegard Kuehne(KIT):

Hueihan Jhuang (Massachusetts Institute of Technology):

Estibaliz Garrote:

Tomaso Poggio: http://cbcl.mit.edu/

Thomas Serre (Brown University):

【Human detection】Density-awareperson detection and tracking in crowds

PDF: http://www.di.ens.fr/~rodrigue/crowd_density_ICCV.pdf

project: http://www.di.ens.fr/~rodrigue/

Mikel Rodriguez:

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

Josef Sivic:

Jean-Yves Audibert:

【Human parsing】Unsupervised Learning of a Scene-Specific Coarse Gaze Estimator

Ben Benfold(University of Oxford):

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

【Human parsing】Describing People: A Poselet-Based Approach to Attribute Classification

PDF: http://www.cs.berkeley.edu/~lbourdev/poselets/attributes-poselets-iccv11.pdf

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

Lubomir Bourdev:

Subhransu Maji: http://people.cs.umass.edu/~smaji/

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

【Human parsing】Predicting Occupation via Human Clothing and Contexts

PDF: http://www.lv-nus.org/papers/2011/iccv2011-occupation.pdf

Zheng Song(National University of Singapo):

Meng Wang (National University of Singapo):

Xian-Sheng Hua:

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

【Human parsing】Inferring Human Gaze from Appearance via Adaptive Linear Regression

Feng Lu (Theuniversity of tokyo):

Yusuke Sugano:

Takahiro Okabe:

Yoichi Sato:

【Human parsing】Accurate3D Body Pose Estimation From a Single Depth Image

Mao Ye(University of Kentucky):

Xianwang Wang (Hewlett-Packard Labs):

Ruigang Yang(University of Kentucky): http://vis.uky.edu/~ryang/

Liu Ren:

Marc Pollefeys (ETH Zurich): http://www.inf.ethz.ch/personal/pomarc/

【Human parsing】AData-Driven Approach for Real-Time Full Body Pose Reconstruction from a Depth Camera

PDF: http://www.mpi-inf.mpg.de/~abaak/download/2011_BaakMuBhSeTh_DataDrivenDepthTracking_ICCV.pdf

Andreas Baak:

Meinard Muller:

Gaurav Bharaj:

Hans-Peter Seidel:

Christian Theobalt:

【Human parsing】Multiclass Recognition and Part Localization with Humans in the Loop

PDF: http://vision.ucsd.edu/sites/default/files/iccv2011_20q_parts_final.pdf

Catherine Wah (UCSD):

Steven Branson:

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

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

【Human parsing】Full DOF tracking of a hand interacting with an object by modeling occlusions andphysical constraints

PDF: http://www.ics.forth.gr/~argyros/mypapers/2011_11_iccv_hope.pdf

project: http://www.ics.forth.gr/~argyros/research/hope.htm

Iasonas Oikonomidis:

Nikos Kyriazis:

Antonis Argyros (FORTH:

Greece):

【Human parsing】Latent Structured Models for Human Pose Estimation

PDF: http://sminchisescu.ins.uni-bonn.de/papers/ils_iccv11.pdf

Catalin Ionescu:

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

Cristian Sminchisescu:

【Human parsing】N-best maximaldecoders for part models

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

Dennis Park (UCIrvine):

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

【Human parsing】Regression from Local Features for Viewpoint and Pose Estimation

PDF: http://www.cs.rutgers.edu/~elgammal/pub/Torki_Elgammal_ICCV11_regression.pdf

Marwan Torki(Rutgers University):

Ahmed Elgammal (Rutgers University):

【Human parsing】Who Blocks Who:Simultaneous Clothing Segmentation for Grouping Images

PDF: http://media.cs.tsinghua.edu.cn/~ahz/papers/whoblockswho_iccv2011_final.pdf

Wang Nan(Tsinghua University):

Haizhou Ai (Tsinghua University):

【Face recognition】Maximizing All Margins: Pushing Face Recognition with Kernel Plurality

Ritwik Kumar (IBMResearch):

Arunava Banerjee:

CISE:

Univ (of Florida):

Baba Vemuri:

Hanspeter Pfister (Harvard University):

【Face recognition】Exemplar Extraction using Spatio-Temporal Hierarchical Agglomerative Clustering for Face Recognition in Video

PDF: http://pesona.mmu.edu.my/~johnsee/research/papers/files/sthac_iccv11.pdf

John See:

Chikkannan Eswaran:

【Face recognition】Exploring Regularized Feature Selection for Person Specific Face Verification

Yixiong Liang(Central South Univ.):

Shenghui Liao:

Lei Wang:

Beiji Zou:

【Face recognition】Face Recognition Based on Non-Corresponding Region Matching

Annan Li (Chinese Academy of Sciences):

Shiguang Shan:

Xilin Chen (Institute of Computing Technology (CAS):

Wen Gao):

【Face recognition】Face Recognition via Local Sparse Coding

Ilias Theodorakopoulos (University of Patras):

Ioannis Rigas (University of Patras):

George Economou (University of Patras):

Spiros Fotopoulos (University of Patras):

【Face recognition】Sparse Representation or Collaborative Representation: Which Helps Face Recognition?

PDF: http://www4.comp.polyu.edu.hk/~cslzhang/paper/conf/iccv11/CRC_RLS_final.pdf

code: http://www4.comp.polyu.edu.hk/~cslzhang/code/CRC.zip

Lei Zhang (Hong Kong Polytechnic University):

Meng Yang (Hong Kong Polytechnic University):

Xiangchu Feng (Xidian University):

【Face recognition】Unsupervised Metric Learning for Face Identification in TV Video

PDF: http://hal.inria.fr/inria-00611682/PDF/paper_express.pdf

Ramazan Gokberk Cinbis (INRIA Rhone-Alpes):

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

Cordelia Schmid (INRIA): http://lear.inrialpes.fr/~schmid/

【Face recognition】Fully Automatic Pose-Invariant Face Recognition via 3D Pose Normalization

Akshay Asthana(Australian National University):

Tim Marks:

Michael Jones:

Kinh Tieu:

Rohith MV (University of Delaware):

【Face recognition】Discriminative Multi-Manifold Analysis for Face Recognition from a Single Training Sample per Person

PDF: https://sites.google.com/site/elujiwen/papers/ICCV11.pdf?attredirects=0

Jiwen Lu (Nanyang Technological University:

Singapore):

Yap-Peng Tan (Nanyang Technological University:

Singapore):

Gang Wang (Nanyang Technological University:

Singapore/ Advanced Digital Sciences Center:

Singapore):

【Face recognition】Unsupervised Metric Learning for Face Identification in TV Video

Jiayan Jiang(UCLA):

Bo Wang (University of Toronto):

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

【Face parsing】Learning Nonlinear Distance Functions using Neural Network for Regression with Application to Robust Human Age Estimation

PDF: http://www.cvpapers.com/papers/06126249_from_IEEE_Xplore.pdf

Fan Na (East China Normal University):

【Face parsing】A FACSValid 3D Dynamic Action Unit Database with Applications to 3D Dynamic Morphable Facial Modeling

Darren Cosker(University of Bath):

Eva Krumhuber:

Adrian Hilton:

【Face parsing】Digital Anti-Aging in Face Images

Guodong Guo:

【Face parsing】Recognising Spontaneous Facial Micro-expressions

PDF: http://tomas.pfister.fi/files/pfister11microexpressions.pdf

Tomas Pfister(University of Oulu):

Xiaobai Li (University of Oulu):

Guoying Zhao (“):

University of Oulu (Finland”):

:

Matti Pietikäinen:

【Face parsing】Face Reconstruction in the Wild

PDF: http://grail.cs.washington.edu/3dfaces/paper.pdf

project: http://grail.cs.washington.edu/3dfaces/

Ira Kemelmacher-Shlizerman:

Steven Seitz: http://homes.cs.washington.edu/~seitz/

【Face parsing】Fourier Active Appearance Models

PDF: http://homepage.mac.com/simon.lucey/publications/rajitha_iccv2011.pdf

Rajitha Navarathna (Queensland University of Technology:

Australia):

Sridha Sridharan (Queensland University of Technology:

Australia):

Simon Lucey (CSIRO:

Queensland University of Technology:

Australia):

【Face parsing】Learning Universal Multi-view Age Estimator by Video Contexts

PDF: http://www.lv-nus.org/papers/2011/iccv2011-nfa.pdf

Zheng Song:

Bingbing Ni:

Dong Guo: http://dongguo.org/

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

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

【Face parsing】Robustand Efficient Parametric Face Alignment

PDF: http://ibug.doc.ic.ac.uk/media/uploads/documents/iccv_final.pdf

Georgios Tzimiropoulos:

Stefanos Zafeiriou:

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

【Object recognition】AGraph-matching Kernel for Object Categorization

PDF: http://www.di.ens.fr/~duchenne/article/ICCV2011.pdf

Olivier Duchenne:

Armand Joulin:

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

【Object recognition】Domain Adaptation for Object Recognition: An Unsupervised Approach

PDF: http://www.umiacs.umd.edu/~raghuram/Publications/2011_ICCV_DomainAdaptation.pdf

Raghuraman Gopalan:

Ruonan Li:

Rama Chellappa:

【Object recognition】Discriminative Learning of Relaxed Hierarchy for Large-scale Visual Recognition

PDF: http://www.stanford.edu/~tianshig/papers/learningRelaxedHierarchy-ICCV11.pdf

code: http://www.stanford.edu/~tianshig/software/learning_relaxed_hierarchy_v0.1.tgz

Tianshi Gao:

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

【Object recognition】Strong Supervision From Weak Annotation: Interactive Training of Deformable Part Models

PDF: http://www.vision.caltech.edu/visipedia/papers/BransonEtal11.pdf

Steven Branson:

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

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

【Object recognition】Informative Feature Selection for Object Recognition via Sparse PCA

PDF: http://www.eecs.berkeley.edu/~yang/paper/NaikalN_ICCV2011.pdf

Nikhil Naikal:

Allen Y. Yang:

  1. Shankar Sastry:

【Object recognition】The Truth about Cats and Dogs

PDF: http://www.vlfeat.org/~vedaldi/assets/pubs/parkhi11truth.pdf

Omkar M Parkhi:

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

V. Jawahar:

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

【Object recognition】Multi-label Visual Classification with Label Exclusive Context

Xiangyu Chen(NUS):

Xiao-Tong Yuan (National University of Singapo):

Qiang Chen (National University of Singapore):

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

Chua Tat-Seng (National University of Singapore):

【Object recognition】Random Ensemble Metrics for Object Recognition

Tatsuo Kozakaya(Toshiba Corporation):

Satoshi Ito (Toshiba Corporation):

Susumu Kubota(Toshiba Corporation):

【Object recognition】Relative Attributes

PDF: http://www.cs.utexas.edu/~grauman/papers/ParikhGrauman_ICCV2011_relative.pdf

project: http://ttic.uchicago.edu/~dparikh/relative.html

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

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

【Object recognition】From Images to Scenes: Compressing an Image Cluster into a Single Scene Model for Place Recognition

Edward Johns(Imperial College London):

Guang-Zhong Yang:

【Object recognition】Multi-observation Visual Recognition via Joint Dynamic Sparse Representation

Haichao Zhang:

UIUC (NWPU):

Nasser Nasrabadi (U.S. Army Research Laboratory):

Yanning Zhang(Northwestern Polytechnical University):

Thomas Huang (UIUC):

【Object recognition】Segmentationas Selective Search for Object Recognition

PDF: http://koen.me/research/pub/vandesande-iccv2011.pdf

Koen Van de Sande(University of Amsterdam):

Jasper Uijlings (University of Trento):

Theo Gevers(University of Amsterdam):

Arnold Smeulders:

【Object recognition】Efficient Learning of Sparse, Distributed, Convolutional Feature Representations for Object Recognition

PDF: http://www.eecs.umich.edu/~honglak/iccv2011-sparseConvLearning.pdf

Kihyuk Sohn(University of Michigan):

Dae Jung (University of Michigan):

Honglak Lee: http://web.eecs.umich.edu/~honglak/

Alfred Hero:

【Object recognition】Silhouette-based Object Phenotype Recognition using 3D Shape Priors

Yu Chen(University of Cambridge):

Tae-Kyun Kim (Imperial College London):

Roberto Cipolla (University of Cambridge): http://mi.eng.cam.ac.uk/~cipolla/index.htm

【Object recognition】Probabilistic3D Object Recognition with Both Positive and Negative Evidences

PDF: http://icc.skku.ac.kr/~alexlu/publications/ICCV2011_ZhaojinLu.pdf

Sukhan Lee(SKKU):

Zhaojin Lu (SKKU):

Hyunwoo Kim (DAUM CORP):

【Object recognition】Annotator Rationales for Visual Recognition

PDF: http://www.cs.utexas.edu/~grauman/papers/RationalesICCV2011.pdf

Jeff Donahue:

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

【Object recognition】Fusingvisual and range imaging for object class recognition

Aharon Bar-Hillel(GM):

Dmitri Hanukaev:

Dan Levi (GM):

【Object recognition】Compact Correlation Coding for Visual Object Categorization

Nobuyuki Morioka(University of New South Wales):

Shin’ichi Satoh (National Institute of Informatics):

【Object detection】From Contours to 3D Object Detection and Pose Estimation

PDF: http://web.engr.oregonstate.edu/~sinisa/research/publications/iccv11_3D.pdf

Nadia Payet:

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

【Object detection】Articulated Part-based Model for Joint Object Detection and Pose Estimation

PDF: http://www.eecs.umich.edu/vision/papers/Sun_ICCV11_PID2005385.pdf

Min Sun:

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

【Object detection】Ensembleof Exemplar-SVMs for Object Detection and Beyond

PDF: http://www.cs.cmu.edu/~efros/exemplarsvm-iccv11.pdf

project: http://www.cs.cmu.edu/~tmalisie/projects/iccv11/

Tomasz Malisiewicz: http://people.csail.mit.edu/tomasz/

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

Alexei A. Efros:

【Object detection】Viewpoint-Aware Object Detection and Pose Estimation

PDF: http://www.wisdom.weizmann.ac.il/~vision/viewpoint-aware/files/GGABS11.pdf

project: http://www.wisdom.weizmann.ac.il/~vision/viewpoint-aware/

Daniel Glasner:

Meirav Galun:

Sharon Alpert:

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

Gregory Shakhnarovich:

【Object detection】Multimodal Templates for Real-Time Detection of Texture-less Objects in Heavily Cluttered Scenes

PDF: http://campar.cs.tum.edu/pub/hinterstoisser2011linemod/hinterstoisser2011linemod.pdf

Stefan Hinterstoisser:

Stefan Holzer:

Cedric Cagniart:

Slobodan Ilic:

Kurt Konolige:

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

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

【Object detection】Learninga Category Independent Object Detection Cascade

PDF: http://marcade.robots.ox.ac.uk:8080/~vgg/publications/2011/Rahtu11/rahtu11.pdf

Esa Rahtu:

Juho Kannala:

Matthew Blaschko:

【Object detection】Conditional Random Fields for Multi-Camera Object Detection

PDF: http://cvlab.epfl.ch/~benshitr/Conditional Random Fields for Multi-Camera Object Detection.pdf

Xavier Boix:

Gemma Roig:

Horesh Ben Shitrit:

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

【Object detection】Weakly Supervised Object Detector Learning with Model Drift Detection

Parthipan Siva(Queen Mary University of Londo):

Tao Xiang (Queen Mary University of London):

【Object detection】Robust Object Pose Estimation via Statistical Manifold Modeling

PDF: http://www.eecs.umich.edu/vision/papers/mei_iccv2011.pdf

Liang Mei:

Jingen Liu:

Alfred Hero:

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

【Object detection】Discovering Object Instances from Scenes of Daily Living

PDF: http://www.hwkang.com/files/ICCV2011/paper/kang_iccv2011.pdf

Hongwen Kang(CMU):

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

Takeo Kanade:

【Object detection】Tabula Rasa:Model Transfer for Object Category Detection

PDF: http://eprints.pascal-network.org/archive/00008313/01/aytar11.pdf

Yusuf Aytar(Oxford university):

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

【Saliency detection】Salient Object Detection using Concavity Context

Yao Lu (Fudan University):

Wei Zhang (Fudan University):

Hong Lu (Fudan University):

Xiangyang Xue (Fudan University):

【Saliency detection】Automatic Salient Object Extraction with Contextual Cue

PDF: http://www.cs.stevens.edu/~ghua/publication/ICCV2011b.pdf

Le Wang:

IAIR:

XJTU (China):

Jianru Xue:

Nanning Zheng:

Gang Hua:

【Saliency detection】Center-surround Divergence of Feature Statistics for Salient Object Detection

PDF: http://www.iai.uni-bonn.de/~frintrop/paper/kleinFrintrop_iccv2011.pdf

Dominik A.Klein:

Simone Frintrop: http://www.iai.uni-bonn.de/~frintrop/projects.html

【Saliency detection】Fusing Generic Objectness and Visual Saliency for Salient Object Detection

Kai-Yueh Chang(NTHU and Academia Sinica):

Tyng-Luh Liu:

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

Shang-Hong Lai(NTHU):

【Saliency detection】Salient Object Detection using Concavity Context

Jie Feng (Peking University):

Yichen Wei:

Litian Tao (Beihang University):

Chao Zhang (Peking University):

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

【Scene recognition】Spatial Pyramid Co-occurrence for Image Classification

PDF: http://vision.ucmerced.edu/papers/Yang_ICCV11_Spatial.pdf

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

Shawn Newsam:

【Scene recognition】Scene Recognition and Weakly Supervised Object Localization with Deformable Part-Based Models

PDF: http://www.cs.unc.edu/~lazebnik/publications/megha_iccv2011.pdf

Megha Pandey:

Svetlana Lazebnik: http://www.cs.illinois.edu/homes/slazebni/

【Scene recognition】Active Scene Recognition with Vision and Language

PDF: http://sifnos.ilsp.gr/Poeticon/publications/iccv2011_final_0.9.pdf

Xiaodong Yu:

Teo Ching Lik:

Yezhou Yang: http://www.umiacs.umd.edu/~yzyang/

Cornelia Fermuller:

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

【Scene recognition】Handling Label Noise in Video Classification via Multiple Instance Learning

Thomas Leung:

Yang Song (Google):

John Zhang:

【Scene recognition】Video Primal Sketch: A Generic Middle-Level Representation of Video

PDF: http://www.stat.ucla.edu/~sczhu/papers/Conf_2011/Video_Primal_Sketch_ICCV11.pdf

Zhi Han (UCLA):

Zongben Xu:

Song-Chun Zhu (UCLA):

【Scene recognition】Learning Component-Level Sparse Representation Using Histogram Information for Image Classification

PDF: http://www.ee.columbia.edu/ln/dvmm/publications/11/iccv11_sparserep.pdf

Chen-Kuo Chiang:

Chih-Hsueh Duan:

Shang-Hong Lai:

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

【Scene recognition】Dyadic Transfer Learning for Cross-Domain Image Classification

Hua Wang (Univ.of Texas at Arlington):

Feiping Nie (University of Texas at Arlington(Department of Computer Science and Engineering):

Heng Huang (University of Texas Arlington):

Chris Ding):

【Scene recognition】Similarity Invariant Classification of Events by KL Divergence Minimization

PDF: http://server.cs.ucf.edu/~vision/papers/iccv11/khokhar-saleemi-shah-iccv11.pdf

Salman Khokhar(UCF):

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

Imran Saleemi (University of Central Florida):

【Scene recognition】Efficient Orthogonal Matching Pursuit using sparse random projections for scene and videoclassification

PDF: http://shivvitaladevuni.com/uploads/2/9/3/9/2939472/efficient_orthogonal_matching_pursuit_using_sparse_random_projections_for_scene_and_video_classification.pdf

Shiv Vitaladevuni(Raytheon BBN Technologies):

Pradeep Natarajan:

Rohit Prasad:

Prem Natarajan:

【Scene recognition】Correlative Multi-Label Multi-Instance Image Annotation

Xiangyang Xue(Fudan University):

Wei Zhang (Fudan.edu.cn):

Jie Zhang:

Fudan University(China):

Bin Wu:

Fudan University (China):

Jianping Fan (UNC-Charlotte):

Yao Lu(Fudan University):

【Scene recognition】Tasting Families of Features for Image Classification

PDF: http://publications.idiap.ch/downloads/papers/2011/Dubout_ICCV_2011.pdf

Charles Dubout:

Francois Fleuret:

【Scene recognition】Manhattan Scene Understanding Using Monocular, Stereo, and 3D Features

PDF: http://dl.dropbox.com/u/2634491/Papers/iccv2011.pdf

Alex Flint:

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

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

【Scene recognition】Closethe Loop: Joint Blind Image Restoration and Recognition with Sparse Representation Prior

PDF: http://www.ifp.illinois.edu/~jyang29/papers/JRR_ICCV11.pdf

Haichao Zhang:

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

Yanning Zhang:

Thomas Huang:

【Scene recognition】Probabilistic Group-Level Motion Analysis and Scenario Recognition

PDF: http://www.cse.psu.edu/~ge/publications/ICCV11.pdf

Ming-Ching Chang(General Electric):

Nils Krahnstoever (GE Global Research Center):

Weina Ge (GEGlobal Research Center):

【Scene recognition】Modeling Spatial Layout with Fisher Vectors for Image Categorization

PDF: http://hal.inria.fr/inria-00612277/PDF/final_uploaded.pdf

Josip Krapac:

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

Frédéric Jurie:

【Scene recognition】Recognizing Jumbled Images: The Role of Local and Global Information in Image Classification

PDF: http://ttic.uchicago.edu/~dparikh/Publications/Parikh_ICCV2011_puzzled.pdf

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

【Scene recognition】Ask the locals:multi-way local pooling for image recognition

PDF: http://cs.nyu.edu/~ylan/files/publi/boureau-iccv-11.pdf

Y-Lan Boureau:

Nicolas Le Roux:

francis bach:

Jean Ponce (ENSParis): http://www.di.ens.fr/willow/

Yann Le Cun:

【Text recognition】End-to-end Scene Text Recognition

PDF: http://vision.ucsd.edu/~kai/pubs/wang_iccv2011.pdf

Kai Wang:

Boris Babenko:

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

【Image retrieval】Text-based Image Retrieval using Progressive Multi-Instance Learning

Wen Li (NTU):

Lixin Duan (NTU):

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

Ivor W. Tsang:

【Image retrieval】HEAT:Iterative Relevance Feedback with One Million Images

Nicolae Suditu(Idiap Research Institute):

Francois Fleuret (Idiap Research Institute):

【Image retrieval】i Group: Weakly supervised image and video grouping

PDF: http://www.andrewjohngilbert.co.uk/docs/Gilbert_ICCV11_Paper.pdf

Andrew Gilbert(University of Surrey):

Richard Bowden:

【Image retrieval】Contextual Weighting for Vocabulary Tree based Image Retrieval

PDF: http://vision.ece.missouri.edu/~wxy/papers/ICCV2011_xiaoyuwang.pdf

Xiaoyu Wang(University of Missouri):

Ming Yang (NEC Laboratories America):

Timothee Cour(NEC Laboratories America):

Shenghuo Zhu (NEC Laboratories America): http://www.nec-labs.com/~zsh/

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

Tony X. Han:

【Image retrieval】Modeling Image Similarity by Gaussian Mixture Models and the Signature Quadratic Form Distance

Christian Beecks(RWTH Aachen University):

Anca Ivanescu:

Steffen Kirchhoff:

Thomas Seidl (RWTHAachen University):

【Image retrieval】Efficient Similarity Search for Covariance Matrices via the Jensen-Bregman Log Det Divergence

PDF: http://www-users.cs.umn.edu/~cherian/papers/metricICCV.pdf

Anoop Cherain (Universityof Minnesota):

Suvrit Sra (Max Planck Institute for Biological Cybernetics):

Arindam Banerjee (University of Minnesota (Twin Cities):

Nikolaos Papanikolopoulos):

【Image retrieval】Scalable Object-Class Retrieval with Approximate and Top-k Ranking

PDF: http://www.cs.dartmouth.edu/~lorenzo/Papers/rft-iccv11.pdf

Mohammad Rastegari:

Chen Fang:

Lorenzo Torresani:

【Image retrieval】Smooth Object Retrieval using a Bag of Boundaries

PDF: http://www.robots.ox.ac.uk/~vgg/publications-new/Public/2011/Arandjelovic11/arandjelovic11.pdf

Relja Arandjelovic:

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

【Image retrieval】Large-Scale Image Annotation using Visual Synset

PDF: http://www.cc.gatech.edu/~wcai8/publication/iccv11_vs.pdf

David Tsai(Georgia Tech):

Yushi Jing (Google):

Yi Liu (Google):

Henry Rowley:

Sergey Ioffe:

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

【Image retrieval】Discriminative High Order SVD: Adaptive Tensor Subspace Selection for Image Classification,Clustering, and Retrieval

Dijun Luo (UTA):

Heng Huang (University of Texas Arlington):

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

【3D modeling】Trajectoryreconstruction from non-overlapping surveillance cameras with relative depthordering constraints

Branislav Micusik:

【3D modeling】Detailed Reconstruction of 3D Plant Root Shape

PDF: http://www.cs.duke.edu/~edels/Papers/2011-P-06-RootReconstruction.pdf

Ying Zheng (Duke University):

Steve Gu (Duke University):

Herbert Edelsbrunner (IST Austria):

Carlo Tomasi (Duke University):

Philip Benfey (Duke University):

【3D modeling】Optimal Estimation of Vanishing Points in a Manhattan World

PDF: http://www-users.cs.umn.edu/~faraz/pdfs/VanishingPoints.pdf

Faraz Mirzaei(University of Minnesota):

Stergios Roumeliotis (University of Minnesota):

【3D modeling】Multi-View3D Reconstruction for Scenes under the Refractive Plane with Known Vertical Direction

PDF: http://chenlab.ece.cornell.edu/Publication/Kevin/2011ICCV_SfMRefraction.pdf

project: http://chenlab.ece.cornell.edu/projects/SfMRefraction/

Yao-Jen Chang (Cornell University):

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

【3D modeling】Buildinglarge urban environments from unstructured point data

Florent Lafarge:

Clément Mallet (IGN):

【3D modeling】An Automatic Assembly and Completion Framework for Fragmented Skulls

Zhao Yin (Xiamen University):

Li Wei:

Mary Manhein (Department of Geography and Anthropology):

Xin Li (Louisiana State University):

【3D modeling】High Quality Image Reconstruction from RAW and JPEG Image Pair

Lu Yuan(Microsoft Research): http://research.microsoft.com/en-us/um/people/luyuan/index.htm

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

【3D modeling】Dense One-shot 3D Reconstruction by Detecting Continuous Regions with Parallel Line Projection

Ryusuke Sagawa(AIST):

Hiroshi Kawasaki:

Ryo Furukawa (Hiroshima City University):

Shota Kiyota (Kagoshima University):

【3D modeling】Multiview3D Warps

PDF: http://users.isr.ist.utl.pt/~adb/wp-content/uploads/2011/07/ADB_AB_m3dw_2011.pdf

project: http://users.isr.ist.utl.pt/~adb/research-projects/m3dw/

Alessio Del Bue:

Adrien Bartoli:

【3D modeling】Viewpoint Invariant 3D Model Inference from Monocular 2D Images Using Higher-Order Priors

Chaohui Wang(Ecole Centrale Paris/INRIA):

Yun Zeng:

Loic Simon (ECP):

Ioannis Kakadiaris(University of Houston):

Dimitris Samaras:

Nikos Paragios:

【3D modeling】Simplificationof 3D Morphable Models

PDF: http://www-users.cs.york.ac.uk/~ankur/iccv.pdf

Ankur Patel:

William A. P. Smith:

【3D modeling】Home3D Body Scans from Noisy Image and Range Data

PDF: http://www.cs.brown.edu/~black/Papers/KinectICCV2011.pdf

Alex Weiss (Brown University):

David Hirshberg (Brown University):

Michael Black (Max-Planck Inst. Tuebingen): http://ps.is.tue.mpg.de/person/black

【3D modeling】Aerial 3DReconstruction with Line-Constrained Dynamic Programming

Huei-Hung Liao(USC):

Yuping Lin:

Gerard Medioni:

【3D modeling】Optimizing Polynomial Solvers for Minimal Geometry Problems

PDF: http://www.seas.upenn.edu/~narodits/Site_3/Solver_Optimization_files/iccv2011.pdf

Oleg Naroditsky:

Kostas Daniilidis:

【3D modeling】3D Reconstructionof a Smooth Articulated Trajectory from a Monocular Image Sequence

PDF: http://www.andrew.cmu.edu/user/hyunsoop/iccv2011/ICCV2011.pdf

project: http://www.andrew.cmu.edu/user/hyunsoop/iccv2011/iccv_project_page.html

Hyun Soo Park (CMU):

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

【3D modeling】Dynamic and Hierarchical Multi-Structure Geometric Model Fitting

Hoi Sim Wong (The University of Adelaide):

Tat-Jun Chin (The University of Adelaide):

Jin Yu (The University of Adelaide):

David Suter:

【Feature matching】The Medial Feature Detector: Stable Regions from Image Boundaries

PDF: http://image.ntua.gr/iva/files/iccv11b.pdf

Yannis Avrithis(NTUA):

Konstantinos Rapantzikos (NTUA):

【Feature matching】Scale Space for Central Catadioptric Systems. Towards a generic camera featureextractor.

Luis Puig(Universidad de Zaragoza):

Jose Guerrero (Universidad de Zaragoza):

【Feature matching】CARD:Compact And Real-time Descriptors

PDF: http://cvlab.jp/wp/wp-content/uploads/2011/11/compact_and_realtime_descriptor_camera_ready.pdf

project: http://cvlab.jp/

Mitsuru Ambai(Denso IT Laboratory Inc):

Yuichi Yoshida (Denso IT Laboratory Inc):

【Feature matching】ORB:an efficient alternative to SIFT or SURF

PDF: http://www.willowgarage.com/sites/default/files/orb_final.pdf

Ethan Rublee(Willow Garage):

Vincent Rabaud (willowgarage):

Kurt Konolige:

Gary Bradski:

【Feature matching】AJoint Learning Framework for Attribute Models and Object Descriptions

Dhruv Mahajan:

Sundararajan Sellamanickam:

Vinod Nair:

【Feature matching】Gradient-basedlearning of higher-order image features

PDF: http://www.cs.toronto.edu/~rfm/pubs/rae.pdf

Roland Memisevic:

【Feature matching】Local Intensity Order Pattern for Feature Description

PDF: http://vision.ia.ac.cn/Students/wzh/publication/liop/LIOP_Paper.pdf

project: http://vision.ia.ac.cn/Students/wzh/publication/liop/index.html

Zhenhua Wang (NLPR-CASIA):

Bin Fan (NLPR-CASIA):

Fuchao Wu:

【Feature matching】Latent Low-Rank Representation for Subspace Segmentation and Feature Extraction

PDF: http://perception.csl.uiuc.edu/matrix-rank/Files/latent_low_rank.pdf

Guangcan Liu(NUS):

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

【Feature matching】Evaluationof Image Features Using a Photorealistic Virtual World

Biliana Kaneva(MIT):

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

Bill Freeman:

【Feature matching】BRISK: Binary Robust Invariant Scalable Keypoints

PDF: http://www.asl.ethz.ch/people/lestefan/personal/iccv2011.pdf

project: http://www.asl.ethz.ch/people/lestefan/personal/BRISK/index

Stefan Leutenegger:

Margarita Chli:

Roland Y.Siegwart:

【Feature matching】Edge fociinterest points

PDF: http://research.microsoft.com/en-us/um/people/larryz/zitnickedgefoci2011.pdf

project: http://research.microsoft.com/en-us/um/people/larryz/EdgeFoci/edge_foci.htm

  1. Lawrence Zitnic:

Krishnan Ramnath:

【Feature matching】Automated Corpus Callosum Extraction via Laplace-Beltrami Nodal Parcellation and Intrinsic Geodesic Curvature Flows on Surfaces

Rongjie Lai:

Yonggang Shi:

Nancy Sicotte:

Arthur Toga:

【Pose estimation】Kernel Non-Rigid Structure from Motion

PDF: http://www2.ece.ohio-state.edu/~aleix/ICCV11.pdf

Paulo F. U.Gotardo:

Aleix M. Martinez:

【Pose estimation】Double Window Optimisation for Constant Time Visual SLAM

PDF: http://www.doc.ic.ac.uk/~ajd/Publications/strasdat_etal_iccv2011.pdf

Hauke Strasdat:

Andrew J. Davison:

  1. M. M. Montiel:

Kurt Konolige:

【Pose estimation】The Generalized Trace-Norm and its Application to Structure-from-Motion Problems

Roland Angst (ETHZurich):

Christopher Zach (ETH Zurich):

Marc Pollefeys (ETH Zurich): http://www.inf.ethz.ch/personal/pomarc/

【Pose estimation】Generalized Subgraph Preconditioners for Large-Scale Bundle Adjustment

PDF: http://www.cc.gatech.edu/~yjian6/publication/jian2011iccv.pdf

Yong-Dian Jian:

Doru C. Balcan:

Frank Dellaert:

【Pose estimation】Realtime Multibody Visual SLAM with a Smoothly Moving Monocular Camera

PDF: http://abhijitkundu.info/Publications/abhijit_etal_iccv2011.pdf

Abhijit Kundu:

Madhava Krishna:

  1. V. Jawahar:

【Pose estimation】Decoupling Photometry and Geometry in Dense Variational Camera Calibration

PDF: http://cvpr.in.tum.de/old/pub/pub/AKGC11_iccv.pdf

Mathieu Aubry (TUMunchen):

Kalin Kolev:

Bastian Goldluecke:

Daniel Cremers (TU Munich): http://vision.in.tum.de/

【Pose estimation】Variational Recursive Joint Estimation of Dense Scene Structure and Camera Motion from Monocular High Speed Traffic Sequences

PDF: http://www.ziti.uni-heidelberg.de/ziti/uploads/news/publications2011/vrje.pdf

Florian Becker(Heidelberg University):

Frank Lenzen (Heidelberg University):

Joerg Kappes(Heidelberg University):

Christoph Schnoerr (Heidelberg University):

【Pose estimation】Multiview Structure from Motion in Trajectory Space

Aamer Zaheer(Lahore Univ of Management Sciences):

Ijaz Akhter (Lahore Univ of Management Sciences):

Mohammad Haris Baig (LUMS):

Shabbir Marzban (LUMS):

Sohaib Khan(Lahore Univ of Mngmnt Sciences):

【Pose estimation】Exploiting the Manhattan-world Assumption for Extrinsic Self-calibration of Multi-modal Sensor Networks

Marcel Brückner(University Jena):

Joachim Denzler (Uni Jena):

【Stereo matching】Linearstereo matching

PDF: http://www.vision.deis.unibo.it/smatt/Papers/ICCV2011/ICCV2011_LinearStereo.pdf

project: http://www.vision.deis.unibo.it/smatt/ICCV2011_LinearStereo.html

Leonardo De-Maeztu:

Stefano Mattoccia:

Arantxa Villanueva:

Rafael Cabeza:

【Stereo matching】Variational Stereo in Dynamic Illumination

Yohay Swirski(Technion):

Yoav Schechner (Tehnion):

Tal Nir (Technion):

【Stereo matching】ALinear Subspace Learning Approach via Sparse Coding

PDF: http://www4.comp.polyu.edu.hk/~cslzhang/paper/conf/iccv11/LSL_SC.pdf

code: http://www4.comp.polyu.edu.hk/~cslzhang/code/LSL_SC.zip

Lei Zhang:

Pengfei Zhu:

Qinghu Hu:

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

【Stereo matching】Unstructured Light Scanning: Overcoming the Curse of Interre?ections

Vincent Couture(Université de Montréal):

Nicolas Martin (Université de Montréal):

Sebastien Roy:

【Stereo matching】Geometrically Consistent Stereo Seam Carving

PDF: http://www.eng.tau.ac.il/~talib/StereoSC.pdf

Tali Basha:

Shai Avidan:

Yael Moses:

【Stereo matching】Dynamic Fluid Surface Acquisition Using a Camera Array

PDF: http://www.eecis.udel.edu/~jye/lab_research/11/ICCV_Fluid_11.pdf

Yuanyuan Ding:

Feng Li (University of Delaware):

Yu Ji (University of Delaware):

Jingyi Yu:

【Stereo matching】Spatiotemporal Oriented Energies for Spacetime Stereo

PDF: http://www.cse.yorku.ca/vision/publications/iccv_2011_final29Jul11.pdf

Mikhail Sizintsev(York University):

Richard Wildes (York University):

【Stereo matching】Self-Calibrating Depth from Refraction

PDF: http://research.microsoft.com/en-us/um/people/yasumat/papers/refraction_iccv2011.pdf

Zhihu Chen (The University of Hong Kong):

Kwan-Yee Wong (The University of Hong Kong):

Yasuyuki Matsushita:

Xiaolong Zhu (The University of Hong Kong):

Miaomiao Liu (The University of Hong Kong):

【Stereo matching】Panoramic Stereo Video Textures

Vincent Couture(Université de Montréal):

Michael Langer:

Sebastien Roy:

【Stereo matching】ARevisit to Cost Aggregation in Stereo Matching: How Far Can We Reduce Its Computational Redundancy?

PDF: http://diml.yonsei.ac.kr/~forevertin/ICCV2011_Final.pdf

Dongbo Min (ADSC):

Jiangbo Lu (ADSC):

Minh N. Do (UIUC):

【Stereo matching】Stereo Reconstruction using High Order Likelihood

PDF: http://cv.snu.ac.kr/publication/conf/2011/SHOL_ICCV_ID684.pdf

Hoyub Jung (Seoul National University):

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

Sang Uk Lee (Seoul National University):

【Stereo matching】Stereo Time-of-Flight

PDF: http://ar.in.tum.de/pub/castaned2011ICCV/castaned2011ICCV.pdf

Victor Castañeda:

Diana Mateus:

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

【Stereo matching】High Quality Depth Map Upsampling for 3D-TOF Cameras

PDF: http://yuwing.kaist.ac.kr/papers/iccv11_depthmapupsampling.pdf

Jaesik Park:

Hyeongwoo Kim:

Yu-Wing Tai:

Michael S. Brown:

Inso Kweon:

【Stereo matching】Dense Disparity Maps from Sparse Disparity Measurements

PDF: http://www.gol.ei.tum.de/fileadmin/w00bhl/www/preprints/hawe-iccv11.pdf

project: http://www.gol.ei.tum.de/index.php?id=25

Simon Hawe:

Martin Kleinsteuber:

Klaus Diepold:

【Stereo matching】Color Photometric Stereo for Multicolored Surfaces

PDF: http://svr-www.eng.cam.ac.uk/~bdrs2/papers/anderson_iccv11.pdf

Robert Anderson(Cambridge University):

Bjorn Stenger (Toshiba Research Europe Ltd):

Roberto Cipolla (University of Cambridge): http://mi.eng.cam.ac.uk/~cipolla/index.htm

【Stereo matching】Fisher Discrimination Dictionary Learning for Sparse Representation

PDF: http://www4.comp.polyu.edu.hk/~cslzhang/paper/conf/iccv11/FDDL_ICCV_final.pdf

code: http://www4.comp.polyu.edu.hk/~cslzhang/code/FDDL.zip

Meng Yang:

Lei Zhang:

Xiangchu Feng:

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

【Stereo matching】A geometricsolver for calibrated stereo egomotion

Enrique Dunn(UNC):

Brian Clipp (ARA):

Jan-Michael Frahm:

【Optical flow】Kinectingthe dots: Particle Based Scene Flow from depth sensors

PDF: http://www.computing.surrey.ac.uk/personal/pg/S.Hadfield/papers/Kinecting the dots Particle Based Scene Flow From Depth Sensors.pdf

Simon Hadfield(University of Surrey):

Richard Bowden:

【Optical flow】3DScene Flow Estimation with a Rigid Motion Prior

PDF: https://www1.ethz.ch/igp/photogrammetry/publications/pdf_folder/vogel11iccv.pdf

Christoph Vogel(ETH Zurich):

Stefan Roth: http://www.igp.ethz.ch/photogrammetry/

Konrad Schindler:

【Optical flow】Basisconstrained 3D scene flow on a dynamic proxy

PDF: http://webdocs.cs.ualberta.ca/~vis/Papers/11iccv_birkbeck.pdf

Neil Birkbeck(University of Alberta):

Martin Jagersand (University of Alberta):

Dana Cobzas(University of Alberta):

【Optical flow】Gaussian Process Regression Flow for Analysis of Motion Trajectories

PDF: http://www.cc.gatech.edu/~dongryel/gprf_iccv2011.pdf

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

Kihwan Kim(Georgia Institute of Technolog):

Dongryeol Lee (Georgia Institute of Technology):

Irfan Essa:

【Optical flow】Modeling Temporal Coherence for Optical Flow

PDF: http://vip.mmci.uni-saarland.de/research/iccv11/volz_iccv11.pdf

Sebastian Volz(Saarland University):

Andres Bruhn (Saarland University):

Levi Valgaerts(Saarland University):

Henning Zimmer:

【Optical flow】Optical Flow Estimation Using Learned Sparse Model

PDF: http://www.ee.cuhk.edu.hk/~xgwang/papers/jiaXTiccv11.pdf

Kui Jia (Chinese Univ. of Hong Kong):

Xiaogang Wang (The Chinese University of Hong Kong): http://www.ee.cuhk.edu.hk/~xgwang/

Xiaoou Tang (CUHK): http://mmlab.ie.cuhk.edu.hk/

【Optical flow】Robust Unsupervised Motion Pattern Inference from Video and Applications

Xuemei Zhao(USC):

Gerard Medioni:

【Region matching】AGeneral Preconditioning Scheme for Difference Measures in Deformable Registration with an Application to Multi-modal Demons Registration

Darko Zikic:

Maximilian Baust (“):

CAMP (TU Munich”):

:

Ali Kamen:

Nassir Navab(TU Munich): http://campar.in.tum.de/Main/NassirNavab

【Region matching】On therepeatability of the local reference frame for partial shape matching

PDF: http://labvisione.deis.unibo.it/LRF/LRF_repeatability_ICCV2011.pdf

project: http://labvisione.deis.unibo.it/LRF/

Alioscia Petrelli:

Luigi Di Stefano:

【Region matching】Correspondence Free Registration through a Point-to-Model Distance Minimization

Mohammad Rouhani(Computer Vision Center):

Angel Sappa (Computer Vision Center):

【Region matching】Arobust pipeline for rapid feature-based pre-alignment of dense range scans

Francesco Bonarrigo:

Alberto Signoroni (University of Brescia):

Riccardo Leonardi(University of Brescia):

【Region matching】Point-based Calibration Using a Parametric Representation of the General Imaging Model

Pedro Miraldo(ISR – Universidade de Coimbra):

Helder Araujo:

Joao Queiro (University of Coimbra):

【Region matching】Geometrically Consistent Elastic Matching of 3D Shapes: A Linear Programming Solution

PDF: http://cvpr.in.tum.de/_media/spezial/bib/wssc_iccv11.pdf

Thomas Windheuser:

Ulrich Schlickewei:

Frank R. Schmidt:

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

【Region matching】Automated Articulated Structure and 3D Shape Recovery from Point Correspondences

PDF: http://www.eecs.qmul.ac.uk/~jrkf/outgoing/Fayad_Russell_Agapito_ICCV2011.pdf

Joao Fayad:

Chris Russell:

Lourdes Agapito:

【Region matching】Optimal Object Matching via Convexification and Composition

PDF: http://www.lehigh.edu/~hol207/iccv11_li_matching.pdf

Hongsheng Li:

Junzhou Huang:

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

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

【Region matching】Fast Template Matching in Non-Linear Tone-Mapped Images

PDF: http://www.faculty.idc.ac.il/toky/Publications/Conference/MTM_ICCV2011.pdf

code: http://www.faculty.idc.ac.il/toky/Software/software.htm

Yacov Hel-Or (IDCHerzelia):

Hagit Hel-Or (University of Haifa):

Eyal David (University of Haifa):

【Region matching】Robust Topological Features for Deformation Invariant Image Matching

PDF: http://www.eecs.berkeley.edu/~ramv/Publications/ICCV2011.pdf

Edgar Lobaton:

Ramanarayan Vasudevan (University of California):

Ron Alterovitz:

Ruzena Bajcsy(UC Berkeley): http://tele-immersion.citris-uc.org/introduction

【Region matching】Fast Image-Based Localization using Direct 2D-to-3D Matching

PDF: http://www.graphics.rwth-aachen.de/uploads/media/sattler_iccv11_preprint_01.pdf

project: http://www.graphics.rwth-aachen.de/index.php?id=406

Torsten Sattler:

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

Leif Kobbelt:

【Region matching】Locally Rigid Globally Non-rigid Surface Registration

PDF: https://www.cs.drexel.edu/~kon/publication/KFujiwara_ICCV11_preprint.pdf

Kent Fujiwara(The University of Tokyo):

Ko Nishino (Drexel University):

Jun Takamatsu:

Bo Zheng (The University of Tokyo):

Katsushi Ikeuchi (The University of Tokyo):

【Region matching】Speeded-up,relaxed spatial matching

PDF: http://image.ntua.gr/iva/files/ToliasAvrithis_ICCV2011 – Speeded-up, relaxed spatial matching.pdf

Giorgos Tolias(NTUA):

Yannis Avrithis (NTUA):

【Image editing】ATheory of Coprime Blurred Pairs

PDF: http://www.eecis.udel.edu/~jye/lab_research/11/gcd164.pdf

Feng Li:

Zijia Li:

David Saunders:

Jingyi Yu:

【Image editing】Learningto Predict the Perceived Visual Quality of Photos

Ou Wu:

NLPR(Institute of Automation):

Weiming Hu (Institute of Automation):

Jun Gao:

【Image editing】Content-Based Photo Quality Assessment

PDF: http://www.ee.cuhk.edu.hk/~xgwang/papers/luoWTiccv11.pdf

Wei Luo:

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

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

【Image editing】Centralized Sparse Representation for Image Restoration

PDF: http://www4.comp.polyu.edu.hk/~cslzhang/paper/conf/iccv11/ICCV_CSR_Final.pdf

code: http://www4.comp.polyu.edu.hk/~cslzhang/code/CSR_IR.zip

Weisheng Dong:

Lei Zhang:

Guangming Shi:

【Image editing】Simultaneous Localization, Mapping and Deblurring

PDF: http://cv.snu.ac.kr/jhkwon/data/iccv11.pdf

Hee Seok Lee(Seoul National Univ.):

Junghyun Kwon:

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

【Image editing】Refractive Shape from Light Field Distortion

PDF: http://www.cs.ubc.ca/~heidrich/Papers/ICCV.11_2.pdf

Gordon Wetzstein:

David Roodnick (University of British Columbia):

Wolfgang Heidrich:

Ramesh Raskar (MIT Media Lab):

【Image editing】Scaleand Object Aware Image Retargeting for Thumbnail Browsing

PDF: http://www.dabi.temple.edu/~hbling/publication/soar-iccv11.pdf

Jin Sun:

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

【Image editing】From Learning Models of Natural Image Patches to Whole Image Restoration

PDF: http://www.cs.huji.ac.il/~daniez/EPLLICCVCameraReady.pdf

code: http://www.cs.huji.ac.il/~daniez/epllcode.zip

Daniel Zoran:

Yair Weiss:

【Image editing】Parallelizable Inpainting and Refinement of Diffeomorphisms using Beltrami Holomorphic Flow

Tsz Wai Wong(UCLA):

David Gu:

Tony F. Chan (HKUST):

Lok Ming Lui (The Chinese University of Hong Kong):

【Image editing】Complementary Hashing for Approximate Nearest Neighbor Search

PDF: http://users.eecs.northwestern.edu/~zli/new_home/MyPublications/conf/iccv2011.pdf

Hao Xu:

Jingdong Wang:

Zhu Li:

Gang Zeng:

Shipeng Li:

Nenghai Yu:

【Image editing】Assessingthe aesthetic quality of photographs using generic image descriptors

PDF: https://docs.google.com/viewer?a=v&pid=explorer&chrome=true&srcid=0Bw6blMCJk9igNjA1OThhODctYzhiNy00ZDY1LTk3ODAtMmVkYjJmM2ZmYTg1&hl=en_US

Luca Marchesotti (XRCE):

Florent Perronnin (XRCE):

Diane Larlus (XRCE):

Gabriela Csurka (XRCE):

【Image editing】Buildinga better probabilistic model of images by factorization

PDF: http://redwood.berkeley.edu/jack/culpepper-iccv13.pdf

Jack Culpepper (UCBerkeley):

Jascha Sohl-Dickstein (UCBerkeley):

Bruno Olahausen (UCBerkeley):

【Image editing】Handling Outliers in Non-Blind Image Deconvolution

PDF: http://cg.postech.ac.kr/research/deconv_outliers/deconv_outliers.pdf

project: http://cg.postech.ac.kr/research/deconv_outliers/

Sunghyun Cho (POSTECH):

Jue Wang (Adobe Systems): http://www.juew.org/

Seungyong Lee (POSTECH):

【Image editing】Fast Removal of Non-uniform Camera Shake

PDF: http://webdav.is.mpg.de/pixel/fast_removal_of_camera_shake/files/Hirsch_ICCV2011_Fast removal of non-uniform camera shake.pdf

project: http://webdav.is.mpg.de/pixel/fast_removal_of_camera_shake/

Michael Hirsch (MPIfor Intelligent Systems):

Christian Schuler (MPIfor Intelligent Systems):

Stefan Harmeling (MPIfor Intelligent Systems):

Bernhard Schölkopf (MPI for Intelligent Systems):

【Image editing】Introducing Total Curvature for Image Processing

PDF: http://cvpr.in.tum.de/_media/spezial/bib/gc11_iccv.pdf

Bastian Goldluecke (TU Munich):

Daniel Cremers (TU Munich): http://vision.in.tum.de/

【Image editing】Temporally Coded Flash Illumination for Motion Deblurring

PDF: http://www.cim.mcgill.ca/~scott/papers/ICCV_2011.pdf

Scott Mc Closkey:

Honeywell ACS Labs:

【Image editing】Source Camera Identification Using Auto-White Balancing Approximation

PDF: http://www.cvpapers.com/papers/06126225.pdf

Zhonghai Deng:

Univ. of Alabama:

Tuscaloosa:

Arjan Gijsenij (Univ. of Amsterdam):

Jingyuan Zhang:

Univ. of Alabama:

Tuscaloosa:

【Image editing】Single-Shot High Dynamic Range Imaging with Conventional Camera Hardware

Keigo Hirakawa(University of Dayton):

Paul Simon (University of Dayton):

【Image editing】Imaging via Three-dimensional Compressive Sampling

PDF: http://vision.ai.uiuc.edu/~xshu2/3DCS_ICCV.pdf

Xianbiao Shu:

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

【Image editing】Linear Dependency Modeling for Feature Fusion

Andy J H Ma (Hong Kong Baptist University):

Pong C Yuen (Hong Kong Baptist University):

【Image editing】Slow featureanalysis and decorrelation filtering for separating correlated sources

Minh Ha Quang(Italian Institute of Technolog):

Laurenz Wiskott (ruhr university bochum):

【Image editing】Object Recoloringbased on Intrinsic Image Estimation

PDF: http://www.cat.uab.cat/Publications/2011/BV11/ICCV_beigpour2011.pdf

project: http://www.cat.uab.cat/~shida/Research/ObjectRecoloring

Shida Beigpour:

Joost van de Weijer:

【Computational photography】Videofrom a Single Exposure Coded Photograph using a Learned Over-Complete Dictionary

Yasunobu Hitomi(Sony Corporation):

Jinwei Gu (Rochester Institute of Technology):

Mohit Gupta(Columbia University):

Tomoo Mitsunaga (Sony Corporation):

Shree Nayar(Columbia University):

【Computational photography】What Characterizes a Shadow Boundary under the Sun and Sky?

PDF: http://www.cs.stevens.edu/~ghua/publication/ICCV2011a.pdf

Xiang Huang(Northwestern University):

Gang Hua:

Jack Tumblin:

Lance Williams:

【Computational photography】Pose Estimation from Reflections for Specular Surface Recovery

Miaomiao Liu (The University of Hong Kong):

Kwan-Yee Wong (The University of Hong Kong):

Zhenwen Dai (FIAS):

Zhihu Chen (The University of Hong Kong):

【Computational photography】Scan Rectification for Structured Light Range Sensors with Rolling Shutters

PDF: http://users.isy.liu.se/cvl/perfo/papers/ringaby_iccv11.pdf

Erik Ringaby(Linkoping University):

Per-Erik Forssen:

【Computational photography】Cluster-based Color Space Optimizations

PDF: http://www.cs.ubc.ca/labs/imager/tr/2011/ClusterBasedColorSpaceOptimizations/lau_2011_ClusterBasedColorSpaceOptimizations.pdf

Cheryl Lau:

Wolfgang Heidrich:

Rafa%u0142 Mantiuk:

【Texture analysis】Unwrapping Low-rank Textures on Generalized Cylindrical Surfaces

PDF: http://perception.csl.uiuc.edu/matrix-rank/Files/iccv11_curved.pdf

Zhengdong Zhang:

Xiao Liang:

Yi Ma: http://yima.csl.illinois.edu/

【Texture analysis】Dynamic Texture Classification Using Dynamic Fractal Analysis

PDF: http://www.dabi.temple.edu/~hbling/publication/DFA-DT-iccv11.pdf

Yong Xu:

Yuhui Quan:

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

Hui Ji:

【Texture analysis】Material-Specific User Colour Profiles from Imaging Spectroscopy Data

Lin Gu(Australian National University):

Cong Phuoc Huynh (Australian National University):

Antonio Robles-Kelly:

Jun Zhou (NICTA):

【Texture analysis】Sorted Random Projections for Robust Texture Classification

Li Liu (NUDT):

Paul Fieguth:

Gangyao Kuang:

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

【Illumation analysis】Pushingthe limits of digital imaging using Structured Illumination

PDF: http://lyle.smu.edu/~prangara/ICCV11/PID2004887.pdf

project: http://lyle.smu.edu/~prangara/ICCV11/

Prasanna Rangarajan:

Indranil Sinharoy:

Panos Papamichalis:

Marc P. Christensen:

【Illumation analysis】Non-stationary Correction of Optical Aberrations

PDF: http://webdav.is.mpg.de/pixel/lenscorrection/files/lenscorrection.pdf

project: http://webdav.is.mpg.de/pixel/lenscorrection/

Christian Schuler (MPIfor Intelligent Systems):

Michael Hirsch (MPIfor Intelligent Systems):

Stefan Harmeling (MPIfor Intelligent Systems):

Bernhard Schölkopf (MPI for Intelligent Systems):

【Illumation analysis】Revisiting Radiometric Calibration for Color Computer Vision

PDF: http://www.comp.nus.edu.sg/~brown/radiometric_calibration/radiometric_iccv2011_preprint.pdf

project: http://www.comp.nus.edu.sg/~brown/radiometric_calibration/

Hai Ting Lin:

Seon Joo Kim:

Sabine Susstrunk:

Michael S. Brown:

【Illumation analysis】Diffusion Runs Low on Persistence Fast

PDF: http://pub.ist.ac.at/~cchen/publications/chen_iccv_2011.pdf

Chao Chen:

Herbert Edelsbrunner:

【Illumation analysis】Illumination Demultiplexing from a Single Image

PDF: http://www.cs.ucsb.edu/~daniel/publications/conferences/iccv11/ChenVaqueroTurkICCV2011.pdf

Christine Chen(ETH Zürich):

Daniel Vaquero (UC Santa Barbara):

Matthew Turk:

University of California:

Santa Barbara:

【Illumation analysis】What An Image Reveals About Material Reflectance

PDF: http://www.eecs.berkeley.edu/~ravir/semiparametric.pdf

Manmohan Chandraker:

Ravi Ramamoorthi:

【Illumation analysis】Multiplexed Illumination for Scene Recovery in the Presence of Global Illumination

PDF: http://www.cis.rit.edu/jwgu/research/demux/demux_final.pdf

Jinwei Gu:

Toshihiro Kabayashi:

Mohit Gupta:

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

【Illumation analysis】Diffuse Reflectance Imaging

Samuel Hasinoff:

Anat Levin (Weizmann Institute of Science): http://www.wisdom.weizmann.ac.il/~levina/

Philip Goode (Big Bear Solar Observatory):

Bill Freeman:

【Illumation analysis】Pose,Illumination and Expression Invariant Pairwise Face-Similarity Measure via Doppelgänger List Comparison

Florian Schroff:

Tali Treibitz:

David Kriegman:

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

【Illumation analysis】Towards Accurateand Efficient Representation of Image Irradiance of Convex-Lambertian Objects Under Unknown Near Lighting

PDF: http://www.cvip.louisville.edu/wwwcvip/research/publications/Pub_Pdf/2011/Shireen/Elhabian_ICCV2011.pdf

Shireen Elhabian(University of Louisville):

Ham Rara (University of Louisville):

Aly Farag(University of Louisville):

【Illumation analysis】Shading-based Dynamic Shape Refinement from Multi-view Video under General Illumination

PDF: http://www.mpi-inf.mpg.de/~chenglei/dynamicshading.pdf

Chenglei Wu:

Kiran Varanasi:

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

Hans-Peter Seidel:

Christian Theobalt:

【Medical image】Simultaneous Correspondence and Non-Rigid 3D Reconstruction of the Coronary Tree from Single X-ray Images

PDF: http://www.iri.upc.edu/people/fmoreno/Publications/ICCV11/serradell_ICCV11.pdf

Eduard Serradell(Institut de Robotica i Informatica Industrial (CSIC-UPC)):

Adriana Romero:

Computer Vision Center:

Bellaterra (Spain):

Rubem Leta (Hospital de la Santa Creu i Sant Pau (Spain):

Carlo Gatta (University of Barcelona):

Francesc Moreno):

【Medical image】Incremental On-line Semi-supervised Learning for Segmenting the Left Ventricle of the Heartfrom Ultrasound Data

PDF: http://cs.adelaide.edu.au/~carneiro/publications/iccv11_semi_supervised_final.pdf

Gustavo Carneiro: http://cs.adelaide.edu.au/~carneiro/research.html

Jacinto C. Nascimento:

【Medical image】Sparse Multi-Task Regression and Feature Selection to Identify Brain Imaging Predictors for Memory Performance

Hua Wang (Univ.of Texas at Arlington):

Feiping Nie:

University of Texas at Arlington(Department of Computer Science and Engineering):

Heng Huang (University of Texas Arlington):

Shannon Risacher:

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

Andrew Saykin (Department of Radiology and):

【Data clustering】Active Clustering of Document Fragments using Information Derived from both Images and Catalogs

Lior Wolf:

lior Litwak (Tel-Aviv University):

Nachum Dershowitz (Tel-Aviv University):

Roni Shweka (FGP):

Yaacov Choueka (FGP):

【Space reduction】Learning A Mixture of Sparse Distance Metrics for Classification and Dimensionality Reduction

PDF: http://www.loni.ucla.edu/~ztu/publication/iccv11_sparsemetric.pdf

Yi Hong (UCLA):

Quannan Li (UCLA):

jiayan Jiang (ucla):

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

【Machine learning】Perturb-and-MAPRandom Fields: Using Discrete Optimization\\to Learn and Sample from Energy Models

PDF: http://www.stat.ucla.edu/~gpapan/pubs/confr/PapandreouYuille_PerturbAndMap_ieee-c-iccv11.pdf

George Papandreou: http://www.stat.ucla.edu/~gpapan/index.html

Alan L. Yuille:

【Machine learning】Decision Tree Fields

PDF: http://research.microsoft.com/pubs/152645/DTF.pdf

Sebastian Nowozin:

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

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

Bangpeng Yao:

Toby Sharp:

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

【Machine learning】Birdlets:Subordinate Categorization Using Volumetric Primitives and Pose-Normalized Appearance

PDF: http://www.icsi.berkeley.edu/~farrell/viewPaper.php?ID=birdlets_iccv11

project: http://www.icsi.berkeley.edu/~farrell/birdlets/

Ryan Farrell:

Om Oza:

Ning Zhang:

Vlad I. Morariu:

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

Larry S. Davis:

【Machine learning】ADimensionality Result for Multiple Homography Matrices

Wojciech Chojnacki (University of Adelaide):

Anton vanden Hengel:

【Machine learning】Learningto Cluster Using High Order Graphical Models with Latent Variables

PDF: http://www.csd.uoc.gr/~komod/publications/docs/iccv2011.pdf

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

【Machine learning】Diagonalpreconditioning for first order primal-dual algorithms in convex optimization

Thomas Pock:

Antonin Chambolle:

CMAP:

Ecole Polytechnique-CNRS:

【Machine learning】The NBNN kernel

PDF: http://homes.esat.kuleuven.be/~tuytelaa/tuytelaars_al-nbnn_kernel-iccv11.pdf

Tinne Tuytelaars(K.U.Leuven): http://homes.esat.kuleuven.be/~tuytelaa/

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

Kate Saenko:

Trevor Darrell (UC Berkeley): http://www.eecs.berkeley.edu/~trevor/

【Machine learning】A 3DLaplacian-Driven Parametric Deformable Model

PDF: http://www.lehigh.edu/~hol207/iccv11_shen_segmentation.pdf

Tian Shen:

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

Hongsheng Li:

Edward Kim:

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

Junzhou Huang:

【Machine learning】Multi-class Semi-supervised SVMs with Positiveness Exclusive Regularization

Xiaobai Liu(Hust.edu.cn):

nus.edu.sg:

Xiao-Tong Yuan (National University of Singapo):

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

Hai Jin (hust.edu.cn):

【Machine learning】Positive Definite Dictionary Learning for Region Covariances

Ravishankar Sivalingam (University of Minnesota):

Daniel Boley (University of Minnesota):

Vassilios Morellas (University of Minnesota):

Nikolaos Papanikolopoulos:

【Machine learning】Learning Cross-modality Similarity for Multinomial Data

PDF: http://www.eecs.berkeley.edu/~trevor/iccv11-mm.pdf

Yangqing Jia (UCBerkeley): http://www.eecs.berkeley.edu/~jiayq/

Mathieu Salzmann (TTI Chicago):

Trevor Darrell (UC Berkeley): http://www.eecs.berkeley.edu/~trevor/

【Machine learning】Blurring-Invariant Riemannian Metrics for Comparing Signals and Images

PDF: http://www.public.asu.edu/~pturaga/papers/Blur_Riemann.pdf

Zhengwu Zhang:

Eric Klassen:

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

Pavan Turaga:

Rama Chellappa:

【Machine learning】Efficientparallel message computation for MAP inference

Stavros Alchatzidis (ECP):

Aristeidis Sotiras (ECP):

Nikos Paragios:

【Machine learning】Learning Equivariant Structured Output SVM Regressors

PDF: http://www.robots.ox.ac.uk/~vgg/publications-new/Public/2011/Vedaldi11a/vedaldi11a.pdf

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

Matthew Blaschko:

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

【Machine learning】Low Order Dynamics Embedding for High Dimensional Time Series

Xiong Fei(Northeastern University):

Octavia Camps:

Mario Sznaier (Northeastern University):

【Machine learning】An Adversarial Optimization Approach to Efficient Outlier Removal

PDF: http://cs.adelaide.edu.au/~tjchin/lib/exe/fetch.php?id=pub&cache=cache&media=iccv2011yu.pdf

Jin Yu:

Anders Eriksson:

Tat-Jun Chin:

David Suter:

【Machine learning】Generalized Ordering Constraints for Multilabel Optimization

PDF: http://cvpr.in.tum.de/_media/spezial/bib/strekalovskiy_cremers_iccv2011.pdf

Evgeny Strekalovskiy (TU Munich):

Daniel Cremers (TU Munich): http://vision.in.tum.de/

【Machine learning】RECON:Scale-Adaptive Robust Estimation via Residual Consensus

PDF: http://www.cs.unc.edu/~rraguram/papers/0727.pdf

code: http://www.cs.unc.edu/~rraguram/papers/code.zip

Rahul Raguram:

Jan-Michael Frahm:

【Machine learning】Markov Random Field-based Fitting of a Subdivision-based Geometric Atlas

Uday Kurkure:

Yen Le:

Nikos Paragios:

Tao Ju:

James Carson:

Ioannis Kakadiaris:

【Machine learning】Delta-Dual Hierarchical Dirichlet Processes: A pragmatic abnormal behaviour detector

Tom Haines:

Queen Mary (Uni. of London):

Tao Xiang (Queen Mary University of London):

【Machine learning】Multiclass Transfer Learning from Unconstrained Priors

PDF: http://www.idiap.ch/~jluo/publications/files/mktl.pdf

Luo Jie:

Tatiana Tommasi:

Barbara Caputo:

【Machine learning】In Defense of Soft-assignment Coding

PDF: http://users.cecs.anu.edu.au/~lingqiao/files/ICCV11.pdf

Lingqiao Liu:

Lei Wang:

Xinwang Liu:

【Machine learning】Tight Convex Relaxations for Vector-Valued Labeling Problems

PDF: http://cvpr.in.tum.de/_media/spezial/bib/sgc11_iccv.pdf

Evgeny Strekalovskiy (TU Munich):

Bastian Goldluecke (TU Munich):

Daniel Cremers (TUMunich): http://vision.in.tum.de/

【Machine learning】Generalized Roof Duality for Pseudo-Boolean Optimization

PDF: http://www.maths.lth.se/vision/publdb/reports/pdf/kahl-strandmark-iccv-11.pdf

project: http://strandmark.wordpress.com/category/pseudo-boolean/

code: http://www.maths.lth.se/matematiklth/personal/petter/pseudoboolean.php

Fredrik Kahl:

Petter Strandmark:

【Machine learning】AGraph Cut Algorithm for Higher-order Markov Random Fields

Alexander Fix(Cornell): http://www.cs.cornell.edu/~afix/

Aritanan Gruber (Rutgers):

Endre Boros:

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

【Machine learning】The Power of Comparative Reasoning

Jay Yagnik(Google Inc):

Dennis Strelow (Google Inc):

David Ross (Google Inc):

Ruei-sung Lin (Google Inc):

【Machine learning】Unsupervisedand Semi-supervised Learning via ?1-norm Graph

Feiping Nie:

University of Texas at Arlington (Department of Computer Science and Engineering):

Hua Wang (Univ. of Texas at Arlington):

Heng Huang (University of Texas Arlington):

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

【Machine learning】Coherency Sensitive Hashing

PDF: http://www.eng.tau.ac.il/~simonk/publications/ICCV2011_CSH_korman_avidan.pdf

project: http://www.eng.tau.ac.il/~simonk/CSH/index.html

Simon Korman (Tel-Aviv University):

Shai Avidan (Tel-Aviv University):

【Machine learning】Semi-supervised Learning and Optimization for Hypergraph Matching

PDF: http://sminchisescu.ins.uni-bonn.de/papers/lzs_iccv11.pdf

Marius Leordeanu:

Andrei Zanfir:

Cristian Sminchisescu:

【Machine learning】Efficient Algorithmfor Low-rank Matrix Factorization with Missing Components and Performance Comparison of Latest Algorithms

Takayuki Okatani:

Takahiro Yoshida:

Koichiro Deguchi (Tohoku University):

【Machine learning】Localized Principal Component Analysis based Curve Evolution: A Divide and Conquer Approach

PDF: http://users.ece.gatech.edu/~vappia3/localpca.pdf

Vikram Appia(Georgia Tech):

Balaji Ganapathy (Georgia Institute of Technology):

Tracy Faber(Emory University):

Anthony Yezzi (Georgia Institute of Technology):

【Machine learning】A Direct Least-Squares

PDF: http://www-users.cs.umn.edu/~joel/_files/Joel_Hesch_ICCV11.pdf

Joel A. Hesch:

Stergios I. Roumeliotis:

【Deep learning】Adaptive Deconvolutional Networks for Mid and High Level Feature Learning

PDF: http://cs.nyu.edu/~gwtaylor/publications/zeilertaylorfergus_iccv2011.pdf

Matthew D.Zeiler:

Graham W. Taylor:

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