2013 ICCV

下面是2013ICCV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】Active MAP Inference in CRFs for Efficient Semantic Segmentation

PDF: http://www.vision.ee.ethz.ch/~boxavier/PID2973583.pdf

Gemma Roig (ETH):

Xavier Boix (ETH):

Roderick De Nijs (TUM):


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

【Scene parsing】Holistic Scene Understanding for 3DObject Detection with RGBD cameras

Dahua Lin (TTIC): http://dahua.me/

Sanja Fidler (TTI Chicago ):

Raquel Urtasun (Toyota Technological Institute at Chicago): http://www.cs.toronto.edu/~urtasun/

【Scene parsing】3D Scene Understanding by Voxel-CRF

Byung-soo Kim:

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


Silvio Savarese (University of Michigan: http://cvgl.stanford.edu/silvio/


【Scene parsing】3DNN: Viewpoint Invariant 3D Geometry Matching for Scene Understanding

PDF: http://research.google.com/pubs/pub41643.html

Scott Satkin (Carnegie Mellon University):

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


【Scene parsing】Handling Occlusions with Franken-classifiers

PDF: http://homes.esat.kuleuven.be/~mmathias/2013_iccv_occlusions_with_supplementary.pdf

code: https://bitbucket.org/rodrigob/doppia

Markus Mathias (KU Leuven):

Rodrigo Benenson (MPI-Inf): http://rodrigob.github.io/

Radu Timofte (ETH Zurich):

Luc Van Gool (KU Leuven): http://www.vision.ee.ethz.ch/

【Scene parsing】From Where and How to What We See

PDF: http://vision.ece.ucsb.edu/publications/2013_iccv_karthik.pdf

dataset: http://vision.ece.ucsb.edu/~karthikeyan/facesTextEyetrackingDataset/

Karthikeyan Shanmuga Vadivel (UCSB):

Vignesh Jagadeesh (UCSB):

Renuka Shenoy(UCSB):

Miguel Eckstein (UCSB):

B.S. Manjunath (UCSB):

【Scene parsing】Data-Driven 3D Primitives for Single Image Understanding

PDF: http://www.cs.cmu.edu/~dfouhey/dfouhey_primitives.pdf

David Fouhey (Carnegie Mellon University):

Abhinav Gupta (Carnegie Mellon University): http://www.cs.cmu.edu/~abhinavg/

Martial Hebert (Carnegie Mellon University): http://www.cs.cmu.edu/~hebert/

【Scene parsing】Find the Best Path: an Efcient and Accurate Classier for Image Hierarchies

PDF: http://cvgl.stanford.edu/papers/PID2965309.pdf

Min Sun (Universityof Washington):

Wan Huang (University of Michigan at Ann Arbor):

Silvio Savarese (University of Michigan at Ann Arbor): http://cvgl.stanford.edu/silvio/

【Scene parsing】Detecting avocados to zucchinis: whathave we done, and where are we going?

Olga Russakovsky:

Jia Deng (Stanford University):

Zhiheng Huang (Stanford University):

Alexander Berg (Stony Brook University):

Fei-Fei Li (Stanford University): http://vision.stanford.edu/resources_links.html

【Scene parsing】Parsing IKEA Objects: Fine Pose Estimation

PDF: http://people.csail.mit.edu/lim/paper/lpt_iccv2013.pdf

Joseph Lim (MIT):

Hamed Pirsiavash (MIT):

Antonio Torralba (MIT): http://web.mit.edu/torralba/www/

【Scene parsing】Learningthe Visual Interpretation of Sentences

Larry Zitnick (Microsoft Research:


Devi Parikh (Virginia Tech): https://filebox.ece.vt.edu/~parikh/

Lucy Vanderwende (Microsoft Research):

【Scene parsing】metric Semantic Segmentation using Pyramid Context Features

Jonathan Barron (UC Berkeley):

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

Soile Keranen (LBL):

David Knowles (LBL):

Mark Biggin (LBL):

Jitendra Malik (UC Berkeley): http://www.cs.berkeley.edu/~malik/

【Scene parsing】Multi-Label Image Annotations Using New Graph Structured Sparsity Model

xiao Cai (University of Texas at Arlington):

Feiping Nie (University of Texas at Arlington):

Heng Huang (UTA):

【Scene parsing】Learninga Dictionary of Shape Epitomes with Application to Semantic Labeling

Liang-Chieh Chen (UCLA):

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

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

【Scene parsing】Scene Collaging: Analysis and Synthesis of Natural Images with Semantic Layers

Phillip Isola (MIT):

Ce Liu (Microsoft Research New England): http://people.csail.mit.edu/celiu/

【Scene parsing】Discovering Details and Scene Structure with Hierarchical Iconoid Shift

PDF: http://www.vision.rwth-aachen.de/publications/pdf/weyand-iccv13.pdf

Tobias Weyand (RWTHAachen):

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

【Scene parsing】Pyramid Coding for Functional Scene Element Recognition in Video Scenes

Eran Swears (Kitware Inc.):

Anthony Hoogs (Kitware:


Kim Boyer (RPI):

【Scene parsing】Supportsurface prediction in indoor scenes

Ruiqi Guo (UIUC):

Derek Hoiem (University of Illinois at Urbana-Champaign): http://www.cs.illinois.edu/~dhoiem/

【Scene parsing】Understanding High-Level Semantics by Modeling Traffic Patterns

Hongyi Zhang (Peking University):

Andreas Geiger (KIT ):

Raquel Urtasun (Toyota Technological Institute at Chicago): http://www.cs.toronto.edu/~urtasun/

【Scene parsing】Estimatingthe 3D Layout of Indoor Scenes and its Clutter from Depth Sensors

PDF: http://alexander-schwing.de/papers/ZhangEtAl_ICCV2013.pdf

Jian Zhang:

Kan Chen:

Alexander Schwing (ETH Zurich):

Raquel Urtasun (Toyota Technological Institute at Chicago): http://www.cs.toronto.edu/~urtasun/

【Scene parsing】Efficient3D Scene Labeling Using Fields of Trees

PDF: http://www.robots.ox.ac.uk/ActiveVision/Publications/kahler_etal_iccv2013/kahler_etal_iccv2013.pdf

Olaf Khler (University of Oxford):

Ian Reid (University of Adelaide): http://www.robots.ox.ac.uk/~ian/

【Scene parsing】Characterizing Layouts of Outdoor Scenes Using Spatial Topic Processes

Dahua Lin (TTIC): http://dahua.me/

Jianxiong Xiao (MIT): http://vision.princeton.edu/people/xj/

【Scene parsing】Learning CRFs for Image Parsing with Adaptive Subgradient Descent

PDF: http://www.ece.nus.edu.sg/stfpage/eletp/Papers/iccv13_parsing.pdf

Honghui Zhang (HKUST):

Long Quan (The Hong Kong University of Science and Technology: http://visgraph.cs.ust.hk/index.html


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

Jingdong Wang (Microsoft Research Asia):

【Scene parsing】Sequential Bayesian Model Update under Structured Scene Prior for Semantic Road Scenes Labeling

PDF: https://scalable.mpi-inf.mpg.de/files/2013/10/levinkov13iccv.pdf

Evgeny Levinkov (MPI Informatics):

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

【Scene parsing】Dynamic Label Propagation for Semi-supervised Multi-class Multi-label Classification

PDF: http://pages.ucsd.edu/~ztu/publication/iccv13_dlp.pdf

Bo Wang (York University):

Zhuowen Tu (UCSD): http://pages.ucsd.edu/~ztu/

John Tsotsos (York University:


【Scene parsing】What Do You Do? Recognize Occupations in a Photo via Social Context

Ming Shao (Northeastern University):

Liangyue Li (Northeastern University):

Yun Fu(Northeastern University):

【Object segmentation】Perspective Motion Segmentation via Collaborative Clustering

PDF: http://pub.lizhuwen.com/papers/moseg_iccv13.pdf

Zhuwen Li (NUS):

Jiaming Guo (NUS):

Loong-Fah Cheong (NUS):

Zhiying Zhou (NUS):

【Object segmentation】Tree Shape Priors with Connectivity Constraints using Convex Relaxation on General Graphs

PDF: http://vision.in.tum.de/_media/spezial/bib/stuehmer-et-al-iccv2013.pdf

Jan Stuehmer (Technische Universitaet Muenchen):

Peter Schroeder (California Institute of Technology):

Daniel Cremers (Technische Universitaet Muenchen): http://vision.in.tum.de/

【Object segmentation】Bounded Labeling Function for Global Segmentation of Multi-Part Objects with Geometric Constraints

Masoud S. Nosrati (Simon Fraser University):

Shawn Andrews (SFU):

Ghassan Hamarneh(SFU):

【Object segmentation】Segmentation Driven Object Detection with Fisher Vectors

PDF: http://hal.inria.fr/docs/00/87/31/34/PDF/paper_final.pdf

Ramazan Gokberk CINBIS (INRIA Grenoble):

Jakob Verbeek (INRIA France): http://lear.inrialpes.fr/~verbeek/

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

【Object segmentation】Learning Discriminative Part Detectorsfor Image Classification and Cosegmentation

PDF: http://www.di.ens.fr/willow/pdfscurrent/jian2013.pdf

Jian Sun (Xi\’an Jiaotong University): http://research.microsoft.com/en-us/groups/vc/

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

【Object segmentation】Detecting Dynamic Objects with Multi-View Background Subtraction

Ral Daz (University of California Irvine):

Sam Hallman (University of California Irvine):

Charless Fowlkes (University of California Irvine): http://www.ics.uci.edu/~fowlkes/

【Object segmentation】Codemaps Segment, Classify and Search Objects Locally

PDF: http://www.science.uva.nl/research/publications/2013/LiICCV2013/li_codemaps_iccv13.pdf

project: http://www.science.uva.nl/research/publications/2013/LiICCV2013/

Zhenyang Li (Universityof Amsterdam):

Efstratios Gavves (University of Amsterdam):

Koen van de Sande (Universityof Amsterdam): http://koen.me/research/

Cees Snoek (Universityof Amsterdam):

Arnold Smeulders (University of Amsterdam):

【Object segmentation】Online Video Superpixels for Temporal Window Objectness

PDF: http://www.vision.ee.ethz.ch/~boxavier/PID2973589.pdf

Michael Van den Bergh (ETH):

Gemma Roig (ETH):

Xavier Boix (ETH):

Santiago Manen (BIWIETH Zurich):

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

【Object segmentation】Image Co-Segmentation via Consistent Functional Maps

PDF: http://graphics.stanford.edu/projects/lgl/papers/whg-icsfm-13/whg-icsfm-13.pdf

Fan Wang (Stanford University):

Qixing Huang (Stanford University):

Leonidas Guibas(Stanford University):

【Object segmentation】Co-Segmentationby Composition

PDF: http://www.wisdom.weizmann.ac.il/~irani/PAPERS/CoSegmentationByComposition_ICCV2013.pdf

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

Alon Faktor (Weizmann Institute of Science):

Michal Irani (Weizmann Institute Israel): http://www.wisdom.weizmann.ac.il/~irani/

【Object segmentation】Exemplar Cut

PDF: http://faculty.ucmerced.edu/mhyang/papers/iccv13_exemplar.pdf

Jimei Yang (UC Merced):

Yi-Hsuan Tsai (UC Merced):

Ming-Hsuan Yang (UC Merced: http://faculty.ucmerced.edu/mhyang/


【Object segmentation】Cosegmentationand Cosketch by Unsupervised Learning

PDF: http://ivg.au.tsinghua.edu.cn/uploads/People/JifengDai/ICCV_Cosegmentation_2013.pdf

Jifeng Dai (Tsinghua University):

UCLA; Ying Nian Wu (UCLA):

Jie Zhou (Tsinghua University):

Song Chun Zhu (UCLA):

【Object segmentation】Semantic Segmentation without Annotating Segments

PDF: https://docs.google.com/file/d/0B6gqeZujyM56WVRiNjMwVWtsUlE/edit?usp=sharing&pli=1

Wei Xia (NUS):

Csaba Domokos (NUS):

Jian Dong (NUS):

Loong-Fah Cheong (NUS):

Shuicheng Yan (NUS Singapore): http://www.lv-nus.org/index.html

【Object segmentation】Multi-View Object Segmentation in Space and Time

Abdelaziz Djelouah (Technicolor):

Edmond Boyer:

Jean-Sebastien Franco (Grenoble Universities):

Patrick Perez (Technicolor:


Franois Le Clerc:

【Object segmentation】Semi-supervisedlearning for large scale image cosegmentation

PDF: https://sites.google.com/site/wangzhengxiang/ICCV2013.pdf

Zhengxiang Wang (Fujitsu R&D Center):

Rujie Liu (Fujitsu R&D Center):

【Object segmentation】Predicting Sufficient Annotation Strength for Interactive Foreground Segmentation

PDF: http://www.cs.utexas.edu/~suyog/JainICCV2013.pdf

Suyog Jain (Universityof Texas at Austin):

Kristen Grauman (University of Texas at Austin): http://www.cs.utexas.edu/~grauman/

【Object segmentation】Grab Cutin One Cut

PDF: http://www.csd.uwo.ca/~mtang73/iccv13_one_cut.pdf

Meng Tang (University of Western Ontario):

Lena Gorelick (University of Western Ontario):

Olga Veksler (University of Western Ontario): http://www.csd.uwo.ca/faculty/olga/

Yuri Boykov (Universityof Western Ontario: http://www.csd.uwo.ca/~yuri/


【Object segmentation】AMethod of Perceptual-based Shape Decomposition

Chang Ma (Peking University):

Zhongqian Dong (Peking University):

Tingting Jiang(Peking University):

yizhou Wang (Peking University):

【Object segmentation】Fastobject segmentation in unconstrained video

Anestis Papazoglou (University of Edinburgh):

Vitto Ferrari (University of Edinburgh):

【Object segmentation】Video Segmentation by Tracking Many Figure-Ground Segments

PDF: http://www.cc.gatech.edu/~fli/SegTrack2/segtrack2_cameraready.pdf

project: http://www.cc.gatech.edu/~fli/SegTrack2/index.html

dataset: http://www.cc.gatech.edu/~fli/SegTrack2/dataset.html

Fuxin Li (Georgia Inst. of Tech.): http://www.cc.gatech.edu/~fli/

Taeyoung Kim (Georgia Institute of Technology):

Ahmad Humayun:

David Tsai (Georgia Institute of Technology):

James Rehg (Georgia Institute of Technology): http://www.cc.gatech.edu/~rehg/

【Object segmentation】Motion-Aware KNN Laplacian for Video Matting

PDF: http://www.cs.columbia.edu/~dli/files/knn-video-matting-iccv2013.pdf

project: http://www.cs.columbia.edu/~dli/projects/knnvideomatting/index.html

Dingzeyu Li (Columbia University):

Qifeng Chen (Stanford University):

Chi-Keung Tang (HKUST):

【Image segmentation】Proportion Priors for Image Sequence Segmentation

PDF: https://www.google.com.tw/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&cad=rja&ved=0CDQQFjAA&url=http%3A%2F%2Fvision.in.tum.de%2F_media%2Fspezial%2Fbib%2Fnieuwenhuis-et-al-iccv2013.pdf&ei=QIRgUr6BFsfdkAXN_YCAAQ&usg=AFQjCNEl51jdjkdG6jIyGvP3I7xcrrlSvA&sig2=fQKz-rAlqXD3ttejAqyQ5Q

Claudia Nieuwenhuis:

Evgeny Strekalovskiy (TU Munich):

Daniel Cremers (Technische Universitt Mnchen): http://vision.in.tum.de/

【Image segmentation】Weakly supervised learning of imagepartitioning using decision trees with structured split criteria

Christoph Straehle (HCI:

University of Heidelberg):

Ullrich Koethe:

Fred Hamprecht (HCI:

University of Heidelberg):

【Image segmentation】Image Segmentation with Cascaded Hierarchical Models and Logistic Disjunctive Normal Networks

PDF: http://sci.utah.edu/publications/seyedhosseini13/Seyedhosseini_ICCV2013.pdf

code: http://sci.utah.edu/~mseyed/Mojtaba_Seyedhosseini/Codes.html

Mojtaba Seyedhosseini (SCI):

Mehdi Sajjadi (SCI):

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

【Image segmentation】Temporally Consistent Superpixels

Matthias Reso (TNT LUH Hannover):

Joern Jachalsky (Technicolor):

Joern Ostermann(Institut fr Informationsverarbeitung / Universitt Hannover):

Bodo Rosenhahn:

【Image segmentation】Progressive Multigrid Eigensolvers for Multiscale Spectral Segmentation

PDF: http://www1.icsi.berkeley.edu/~stellayu/publication/doc/2013aemsmgICCV.pdf

Michael Maire (California Institute of Technology): http://ttic.uchicago.edu/~mmaire/

Stella Yu (ICSI):

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


【Image segmentation】AUnified Video Segmentation Benchmark: Annotation, Metrics and Analysis

Fabio Galasso (MPI Informatics):

Naveen Nagaraja (University of Freiburg):

Tatiana Jimenez Cardenas (University of Freiburg):

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

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


【Image segmentation】Divide-and-Conquer Subspace Segmentation

Ameet Talwalkar (UC Berkeley):

Lester Mackey (Stanford University):

Yadong MU(Columbia University):

Shih-Fu Chang (Columbia University): http://www.ee.columbia.edu/ln/dvmm/

Michael Jordan(Berkeley): http://www.cs.berkeley.edu/~jordan/

【Image segmentation】Correlation Adaptive Subspace Segmentation by Trace Lasso

PDF: http://www.cis.pku.edu.cn/faculty/vision/zlin/Publications/2013-ICCV-CASS.pdf

Canyi Lu (National University of Singapo):

Jiashi Feng (National University of Singapo):

Zhouchen Lin (Peking University): http://www.cis.pku.edu.cn/faculty/vision/zlin/zlin.htm

Shuicheng Yan (National University of Singapo): http://www.lv-nus.org/index.html

【Video segmentation】Coarse-to-fine Semantic Video Segmentation using Supervoxel Trees

Aastha Jain (Linkedin):

Shaunak Chatterjee (University of California:


Rene Vidal (Johns Hopkins University): http://cis.jhu.edu/~rvidal/

【Video segmentation】Drosophila Embryo Stage Annotation using Label Propagation

PDF: http://www.ist.ac.at/~chl/papers/kazmar-iccv2013.pdf

Tomas Kazmar (IMP / IST Austria):

Evgeny Kvon (IMP):

Alexander Stark (IMP):

Christoph H. Lampert (IST Austria): http://pub.ist.ac.at/~chl/

【Video segmentation】Robust Trajectory Clustering for Motion Segmentation

PDF: http://nave.vrlab.buaa.edu.cn/attached/file/20140114/20140114133402_848.pdf

Feng Shi (Beihang University):

Zhong Zhou:

Jiangjian Xiao:

Wei Wu:

【Boundary detection】Structured Forests for Fast Edge Detection

PDF: http://research.microsoft.com/pubs/202540/DollarICCV13edges.pdf

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

Larry Zitnick (Microsoft Research:


【Boundary detection】Detecting Irregular Curvilinear Structures in Gray Scale and Color Imagery using Multi-Directional Oriented Flux

Engin Turetken (EPFL):

Carlos Becker (EPFL):

Przemyslaw Glowacki (EPFL):

fethallah Benmansour:

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


【Boundary detection】Detecting Curved Symmetric Parts using a Deformable Disc Model

Tom Lee (University of Toronto):

Sanja Fidler (TTI Chicago ):

Sven Dickinson(University of Toronto ):

【Object tracking】Orderless Tracking through Model-Averaged Posterior Estimation

PDF: http://www.postech.ac.kr/~bhhan/papers/iccv2013_tracking.pdf

Seunghoon Hong (POSTECH:


Suha Kwak (POSTECH:


Bohyung Han (POSTECH:


【Object tracking】The Way They Move: Tracking Multiple Targets with Similar Appearance

PDF: http://www.coe.neu.edu/~cdicle/papers/dicle_iccv13.pdf

code: http://cdicle.bitbucket.org/

Caglayan Dicle (Northeastern University):

Octavia Camps (Northeastern University):

Mario Sznaier(Northeastern University):

【Object tracking】Finding the Best from the Second Bests– Inhibiting Subjective Bias in Evaluation of Visual Tracking Algorithms

YUPANG (Temple univeristy):

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

【Object tracking】Simultaneous Clustering and Tracklet Linking for Multi-Face Tracking in Videos

Baoyuan Wu (CASIA &):

RPI; Siwei Lyu (SUNY Albany):

Baogang Hu (CASIA):

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

【Object tracking】Breaking the chain: liberation from thetemporal Markov assumption for tracking human poses

ryan Tokola:

Wongun Choi (University of Michigan):

Silvio Savarese (University of Michigan: http://cvgl.stanford.edu/silvio/


【Object tracking】Higher Order Matching for Consistent Multiple Target Tracking

Chetan Arora:

Amir Globerson:

【Object tracking】Tracking via Robust Multi-Task Multi-View Joint Sparse Representation

Zhibin Hong (University of Technology:


Xue Mei (Future Mobility Researchdepartment:

Toyota Research Institute:

North America):

Danil Prokhorov (TTC):

Dacheng Tao (University of Technology:


【Object tracking】STAR3D: Simultaneous Tracking And Reconstruction of 3D Objects Using RGB-D Data

PDF: http://www.robots.ox.ac.uk/~carl/papers/STAR3D_Final.pdf

Yuheng(Carl) Ren (Oxford):

Victor Prisacariu (Oxford):

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

Ian Reid (University of Adelaide): http://www.robots.ox.ac.uk/~ian/

【Object tracking】Latent Data Association: Bayesian Model Selection for Multitarget Tracking

Aleksandr Segal (University of Oxford):

Ian Reid (Universityof Adelaide): http://www.robots.ox.ac.uk/~ian/

【Object tracking】Online Robust Non-negative Dictionary Learning for Visual Tracking

PDF: http://winsty.net/papers/onndl.pdf

project: http://winsty.net/onndl.html

code: http://winsty.net/onndl/ONNDLcode.zip

Naiyan Wang (HKUST):

Jingdong Wang (Microsoft Research Asia):

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

【Object tracking】Real-time Body Tracking with One Depth Camera and Inertial Sensors

Thomas Helten (MPI Informatik):

Meinard Mller (International Audio Laboratories Erlangen):

Hans-Peter Seidel (MPI Informatik):

Christian Theobalt (MPI fuer Informatik):

【Object tracking】Discriminant Tracking Using Tensor Representation with Semi-supervised Improvement

Jin Gao (Institute of Automation Chinese Academy of Sciences):

Weiming Hu(Institute of Automation Chinese Academy of Sciences):

Junliang Xing (Instituteof Automation:

Chinese Academy of Sciences):

【Object tracking】Discriminative Label Propagation for Multi-object Tracking with Sporadic Appearance Features

Amit K.C. (Universit catholique de Louva):

Christophe De Vleeschouwer (UCL):

【Object tracking】Initialization-Insensitive Visual Tracking Through Voting with Salient Local Features

Kwang Yi (Seoul National University):

Hawook Jeong (Seoul National University):

Byeongho Heo (Seoul National University):

Hyung Jin Chang (Imperial College London):

Jin Young Choi (Seoul National University):

【Object tracking】Robust Object Tracking with Online Multi-lifespan Dictionary Learning

Junliang Xing (Institute of Automation:

Chinese Academy of Sciences):

Jin Gao (Instituteof Automation Chinese Academy of Sciences):

Bing Li (NLPR:


Weiming Hu(Institute of Automation Chinese Academy of Sciences):

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


【Object tracking】Constructing Adaptive Complex Cells for Robust Visual Tracking

PDF: http://www.dapengchen.com/files/CCT/CCT-iccv2013.pdf

Dapeng Chen (Xi\’an Jiaotong University):

Zejian Yuan (Xi\an jiaotong University):

Yang Wu (Kyoto University):

Geng Zhang (Xi\’an Jiaotong University):

Nanning Zheng (Xi\’an Jiaotong University):

【Object tracking】Topology-Constrained Layered Trackingwith Latent Flow

Jason Chang (CSAIL:


John Fisher (MIT): http://groups.csail.mit.edu/vision/sli/

【Object tracking】Pose-Configurable Generic Tracking of Elongated Objects

Daniel Wesierski (University):

Patrick Horain:

【Object tracking】Modeling Self-Occlusions in Dynamic Shape and Appearance Tracking

PDF: http://vision.ucla.edu/~ganeshs/pubs/iccv13.pdf

Yanchao Yang (KAUST):

Ganesh Sundaramoorthi (KAUST):

【Object tracking】Randomized Ensemble Tracking

Qinxun Bai (Boston University):

Zheng Wu:

Stan Sclaroff (Boston University):

Margrit Betke (Boston University):

Camille Monnier:

【Object tracking】A Unified Rolling Shutter and Motion Blur Model for Dense 3D Visual Tracking

Maxime Meilland (I3S-CNRS-UNS):

Andrew Comport (CNRS-I3S/UNS):

Tom Drummond (Monash University):

【Object tracking】Pixel Track: a fast adaptive algorithmfor tracking non-rigid objects

Stefan Duffner (LIRIS:

INSA de Lyon):

Christophe Garcia (LIRIS:

INSA de Lyon):

【Object tracking】Conservation Tracking

PDF: http://hci.iwr.uni-heidelberg.de/Staff/mschiegg/schiegg_13_conservation.pdf

code: https://github.com/martinsch/pgmlink

Martin Schiegg (Universityof Heidelberg:


Philipp Hanslovsky (University of Heidelberg:


Bernhard X. Kausler (University of Heidelberg:


Lars Hufnagel (EMBL:


Fred A. Hamprecht (HCI:

University of Heidelberg):

【Object tracking】Bayesian 3D tracking from monocularvideo

Ernesto Brau:

Kobus Barnard (University of Arizona:


Jinyan Guan (University of Arizona):

Kyle Simek (University of Arizona):

Luca del Pero:

Colin Dawson(University of Arizona):

【Object tracking】Tracking Revisited using RGBD Camera:Benchmark and Baselines

Shuran Song (HKUST):

Jianxiong Xiao (MIT): http://vision.princeton.edu/people/xj/

【Action recognition】Learning Slow Features for Behavior Analysis

Lazaros Zafeiriou (Imperial College London):

Mihalis Nicolaou (Imperial College London):

Stefanos Zafeiriou (Imperial):

Symeon Nikitidis (Imperial College London):

Maja Pantic (Imperial College ): http://ibug.doc.ic.ac.uk/research

【Action recognition】Cross-view Action Recognition over Heterogeneous Feature Spaces

Xinxiao Wu:

Han Wang (Beijing Insititute of technolo):

Cuiwei Liu:

Yunde Jia:

【Action recognition】Compositional Models for Video Event Detection: A Multiple Kernel Learning Latent Variable Approach

Arash Vahdat (Simon Fraser University):

Kevin Cannons (Simon Fraser University):

Greg Mori (Simon Fraser University ): http://www.cs.sfu.ca/~mori/

Sangmin Oh (Kitware Inc.):

Ilseo Kim:

【Action recognition】Feature Weighting via Optimal Thresholding for Video Analysis

Zhongwen Xu (Zhejiang University):

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

Ivor Tsang:

nicu Sebe (Universityof Trento):

Alexander Hauptmann (Carnegie Mellon University):

【Action recognition】How Related Exemplars Help Complex Event Detection in Web Videos?

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

Zhigang Ma (The University of Trento):

Zhongwen Xu (Carnegie Mellon University):

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


Alexander Hauptmann(Carnegie Mellon University):

【Action recognition】Monte Carlo Tree Search for Scheduling Activity Recognition


Sinisa Todorovic (Oregon State University: http://web.engr.oregonstate.edu/~sinisa/


Alan Fern (Oregon State University):

Song Chun Zhu (UCLA):

【Action recognition】Video Event Understanding using Natural Language Descriptions

Vignesh Ramanathan (Stanford University):

Percy Liang (Stanford University):

Fei-Fei Li(Stanford University): http://vision.stanford.edu/resources_links.html

【Action recognition】Translatingvideo into natural language descriptions

Marcus Rohrbach (MPI Informatics):

Wei Qiu (Coli.uni-saarland.de):

Ivan Titov(Saarland University):

Stefan Thater:

Manfred Pinkal (Saarland University):

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


【Action recognition】Group Sparsity and Geometry Constrained Dictionary Learning for Action Recognitionfrom Depth Maps

PDF: http://web.eecs.utk.edu/~jluo9/DL-GSGC.pdf

Jiajia Luo (The University of Tennessee):

Wei Wang:

Hairong Qi:

【Action recognition】Mining Motion Atoms and Phrases for Complex Action Recognition

Li Min Wang (CUHK):

Yu Qiao (SIAT):

【Action recognition】View-Invariant Action Recognition via Finding Canonical Views and Parts

Behrooz Mahasseni (Oregon State Univeristy):

Sinisa Todorovic (Oregon State University: http://web.engr.oregonstate.edu/~sinisa/


【Action recognition】Actionrecognition with improved trajectories

Heng Wang:

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


【Action recognition】ACTIVE:Activity Concept Transitions in Video Event Classification

PDF: http://www-scf.usc.edu/~chensun/data/Sun_ICCV13.pdf

Chen Sun (USC):

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

【Action recognition】Actionand Event Recognition with Fisher vectors on a Compact Feature Set

Dan Oneata (INRIA):

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


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


【Action recognition】Video Co-segmentation for Meaningful Action Extraction

PDF: http://pub.lizhuwen.com/papers/vcoseg_iccv13.pdf

Jiaming Guo (NUS):

Zhuwen Li (NUS):

Loong-Fah Cheong (NUS):

Zhiying Zhou (NUS):

【Action recognition】Learning Maximum Margin Temporal Warping for Action Recognition

Jiang Wang (Northwestern University):

Ying Wu (Northwestern University):

【Action recognition】Concurrent Action Detection with Structural Prediction

PDF: http://www.stat.ucla.edu/~ybzhao/publications/concurrent_iccv2013.pdf

Ping Wei (Xi\\’an Jiaotong University:


Nanning Zheng (Xi\\’an Jiaotong University):

Yibiao Zhao (UCLA):

Song Chun Zhu (UCLA):

【Action recognition】Action Recognition with Actons

PDF: http://pages.ucsd.edu/~ztu/publication/iccv13_actons.pdf

Jun Zhu (Shanghai Jiao Tong University):

Baoyuan Wang (Microsoft Research Asia):

Xiaokang Yang:

Wenjun Zhang:

Zhuowen Tu (UCSD): http://pages.ucsd.edu/~ztu/

【Action recognition】Stablehyper-pooling and query expansion for event detection

Matthijs Douze (INRIA):

Jerome Revaud: http://lear.inrialpes.fr/people/revaud/

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


Herv Jgou(INRIA):

【Action recognition】Active Learning of an Action Detector from Untrimmed Videos

Sunil Bandla (University of Texas at Austin):

Kristen Grauman (University of Texas at Austin): http://www.cs.utexas.edu/~grauman/

【Action recognition】From Actemes to Action: A Strongly-supervised Representation for Detailed Action Understanding

PDF: http://www.seas.upenn.edu/~menglong/papers/iccv13_acteme.pdf

Weiyu Zhang (University of Pennsylvania):

Menglong Zhu (Universityof Pennsylvania):

Konstantinos Derpanis (University of Pennsylvania):

【Action recognition】Combiningthe Right Features for Complex Event Recognition

Kevin Tang (Stanford U.):

Bangpeng Yao (Stanford University):

Fei-Fei Li (Stanford University): http://vision.stanford.edu/resources_links.html

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

【Action recognition】Recognising Human-Object Interaction via Exemplar based Modelling

PDF: http://mic.sysu.edu.cn/~jianfanghu/pdfFiles/iccvfinal.pdf

Jian-Fang Hu (Sun yat-sen university):

Wei-Shi Zheng:

Jian-Huang Lai (Sun Yat-sen University):

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


Tao Xiang (EECS:


【Action recognition】Learningto Share Latent Tasks for Action Recognition

Qiang Zhou (NUS:


Gang Wang (NTU):

Qi Zhao (National Univ. of Singapore):

【Action recognition】Finding Actors and Actions in Movies

PDF: http://www.di.ens.fr/willow/pdfscurrent/bojanowski2013.pdf

Piotr Bojanowski (INRIA):

Francis Bach (ENS and INRIA:


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


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


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


Josef Sivic(Ecole Normale Suprieure):

【Action recognition】Space-Time Robust Video Representation for Action Recognition

Nicolas Ballas (CEA/Mines-Paris Tech):

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

Lan Zshzsh (CMU):

Betrand Delezoide (CEA):

Franoise Preteux (Mines Paris Tech):

Alexander Hauptmann(Carnegie Mellon University):

【Action recognition】You Tube2Text:Recognizing and Describing Arbitrary Activities Using Semantic Hierarchies and Zero-Shoot Recognition

Sergio Guadarrama (University of California:


Niveda Krishnamoorthy (UT Austin):

Girish Malkarnenkar (UT Austin):

Raymond Mooney:

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

Kate Saenko(UMass Lowell):

【Action recognition】Abnormal Event Detection at 150 FPS in MATLAB

PDF: http://shijianping.me/abnormal_iccv13.pdf

Cewu Lu (The Chinese University of Hong):

Jianping Shi (CUHK):

Jiaya Jia (Chinese University of Hong Kong): http://www.cse.cuhk.edu.hk/leojia/

【Action recognition】Finding Causal Interactions in Video Sequences

Mustafa Ayazoglu (Notheastern University):

Burak Yilmaz (Northeastern University):

Mario Sznaier (Northeastern University):

Octavia Camps:

【Action recognition】Dynamic Pooling for Complex Event Recognition

Weixin Li (UC San Diego):

Qian Yu (Sarnoff):

Nuno Vasconcelos (UC San Diego): http://www.svcl.ucsd.edu/

【Action recognition】Action Recognition and Localization by Hierarchical Space-Time Segments

PDF: http://cs-people.bu.edu/shugaoma/STSegments/iccv2013_preprint_shugao.pdf

project: http://www.cs.bu.edu/groups/ivc/software/STSegments/

Shugao Ma (Boston University):

Stan Sclaroff (Boston University):

Jianming Zhang (Boston University):

Nazli Ikizler-Cinbis (Department of Computer Engineering:

Hacettepe University):

【Action recognition】The”Moving Pose”: An Efficient 3D Kinematics Descriptor for Low-Latency Action Recognition and Detection


Mihai Zanfir:

Marius Leordeanu (Institute of Mathematics of the Romanian Academy):

Cristian Sminchisescu (Lund University):


Ling WANG (Telecom Paris Tech):



(TELECOM Paris Tech) ):

【Action recognition】Learning View-invariant Sparse Representations for Cross-view Action Recognition

Jingjing Zheng (University of Maryland):

Zhuolin Jiang (University of Maryland):

【Action recognition】A New Adaptive Segmental Matching Measure for Human Activity Recognition

PDF: http://seqam.rutgers.edu/site/administrator/components/com_jresearch/files/publications/cameraready2.pdf

Shahriar Shariat (Rutgers):

Vladimir Pavlovic:

【Action recognition】Event Detection in Complex Scene Using Interval Temporal Constraints

Yifan Zhang (CASIA):

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

Hanqing Lu: http://people.ucas.ac.cn/~luhanqing

【Action recognition】Towardsunderstanding action recognition

Hueihan Jhuang:

Juergen Gall (Max Planck Institute for Intelligent Systems): http://www.iai.uni-bonn.de/~gall/

Michael Black (Max Planck Institute for Intelligent Systems: http://ps.is.tue.mpg.de/person/black


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

【Crowd analysis】Semantically-based Human Scanpath Estimation with HMMs

PDF: https://484fbe92-a-62cb3a1a-s-sites.googlegroups.com/site/xyzliwen/publications/scanpath_iccv13.pdf?attachauth=ANoY7cr8h30QsPbsRuIXQYL8thKtdTeY-vVEmj63970esOoqnHyJeZSublJkojpqeH28CvjFJ-c6_kkc0xSh-J1sysqvHZknhbPor1tFL28vP1_e8xU4oNU4IpGQ1VJcJ6CFmPC18gYTsuCceQAx4HrIf6cVFQL6emVNpz4kKYWgvSgan-SlH8ZFogQDK9wPfsh1BdREDzf0UyONUSekQ9dVpDZcDtcL_yThkG2pzyldnjmk3NEf944%3D&attredirects=0

Huiying Liu (Institute of Computing Technol):

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


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

Wen LI (NTU):

Min Xu:

Stephen Lin (Microsoft Research Asia):

【Crowd analysis】Learning People Detectors for Trackingin Crowded Scenes

PDF: http://www.d2.mpi-inf.mpg.de/sites/default/files/tang_iccv_13.pdf

Siyu Tang (Max planck institute):

Mykhaylo Andriluka (Max Planck Institute for Informatics):

Anton Milan (TU Darmstadt):

Konrad Schindler (ETH Zurich):

Stefan Roth (TU Darmstadt: http://www.igp.ethz.ch/photogrammetry/


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


【Crowd analysis】Active Visual Recognition with Expertise Estimation in Crowdsourcing

PDF: http://www.cs.stevens.edu/~ghua/publication/ICCV13b.pdf

Chengjiang Long (Stevens Institute of Technology):

Gang Hua (Stevens Institute of Technology):

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

【Crowd analysis】From Semi-Supervised to Transfer Counting of Crowds

PDF: http://staff.ie.cuhk.edu.hk/~ccloy/files/iccv_2013_crowd.pdf

project: http://personal.ie.cuhk.edu.hk/~ccloy/project_semi_counting/index.html

Chen Change Loy (The Chinese University of Hong Kong): http://www.eecs.qmul.ac.uk/~ccloy/

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

University of London):

Tao Xiang (Queen Mary:

University of London):

【Human detection】Learning Identity-Preserving Features

Zhenyao Zhu (CUHK):

Ping Luo (CUHK):

【Human detection】Efficient pedestrian detection bydirectly optimizing the partial area under the ROC curve

Sakrapee Paisitkriangkrai (The University of Adelaide):

Chunhua Shen (The University of Adelaide):

Anton Van den Hengel (University of Adelaide ):

【Human detection】Person Re-identification by Salience Matching

PDF: http://www.ee.cuhk.edu.hk/~rzhao/papers/zhaoOWiccv13.pdf

Rui Zhao (The Chinese University of Hong Kong):

Wanli Ouyang (The Chinese University of HK): http://www.ee.cuhk.edu.hk/~wlouyang/

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


【Human detection】Co De L: An Human Co-detection and Labeling Framework

PDF: http://shijianping.me/codel/CoDeL_iccv13.pdf

project: http://shijianping.me/codel/index.html

Jianping Shi (CUHK):

Renjie Liao (CUHK):

Jiaya Jia (Chinese University of Hong Kong): http://www.cse.cuhk.edu.hk/leojia/

【Human detection】Random Forests of Local Experts for Pedestrian Detection

Javier Marin (Computer Vision Center):

David Vazquez (Computer Vision Center:


Jaume Amores (Computer Vision Center:


Antonio Lopez (Computer Vision Center:


Bastian Leibe (RWTH Aachen University: http://www.vision.rwth-aachen.de/


【Human detection】POP:Person Re-Identification Post-Rank Optimisation

PDF: http://personal.ie.cuhk.edu.hk/~ccloy/files/iccv_2013_reid.pdf

project: http://personal.ie.cuhk.edu.hk/~ccloy/project_pop/index.html

Chunxiao Liu (Tsinghua University):

Chen Change Loy (The Chinese University of Hong Kong): http://www.eecs.qmul.ac.uk/~ccloy/

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


Guijin Wang (Tsinghua University):

【Human detection】Domain Transfer Support Vector Ranking for Person Re-Identification without Target Camera Label Information

Andy Jinhua Ma (Hong Kong Baptist University):

Pong Chi Yuen (Hong Kong Baptist University):

Jiawei Li:

【Human detection】Human Re-identification by Matching Compositional Template with Cluster Sampling

Yuanlu Xu (Sun Yat-Sen University):

Liang Lin (Sun Yat-Sen University): http://ss.sysu.edu.cn/~ll/index.html

Weishi Zheng: http://eecs.qmul.ac.uk/~jason/

Xiaobai Liu (Ucla.edu):

【Human parsing】Real-time Articulated Hand Pose Estimation using Semi-supervised Transductive Regression Forests

PDF: http://www.iis.ee.ic.ac.uk/icvl/doc/ICCV13_danny.pdf

Danhang Tang (Imperial College London):

Tsz-Ho Yu (University of Cambridge):

Tae-Kyun Kim (Imperial College London):

【Human parsing】Monocular Image 3D Human Pose Estimationunder Self-Occlusion

PDF: http://staff.estem-uc.edu.au/roland/files/2009/05/Radwan_Dhall_Goecke_ICCV2013_MonocularImage3DHumanPoseEstimationUnderSelfOcclusion.pdf

project: http://staff.estem-uc.edu.au/ibrahim/3dmodel

Ibrahim Radwan (University of Canberra):

Abhinav Dhall (Australian National University):

Roland Goecke (University of Canberra):

【Human parsing】Multi-Scale Topological Features for Hand Posture Representation and Analysis

Kaoning Hu (SUNY – Binghamton):

Lijun Yin (Binghamton University State University of New York):

【Human parsing】Two-Point Gait: Decoupling Gait from Body Shape

Stephen Lombardi (Drexel Unversity):

Ko Nishino (Drexel University:


Yasushi Makihara (Osaka university):

Yasushi Yagi:

【Human parsing】Estimating Human Pose with Flowing Puppets

PDF: http://files.is.tue.mpg.de/black/papers/ZuffiICCV2013.pdf

Silvia Zuffi:

Javier Romero (MPI PS):

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


Michael Black(Max Planck Institute for Intelligent Systems: http://ps.is.tue.mpg.de/person/black


【Human parsing】Calibration-free Gaze Estimation using Human Gaze Patterns

Fares Alnajar (University of Amsterdam):

Theo Gevers (University of Amsterdam):

Roberto Valenti:

Sennay Ghebreab (University of Amsterdam):

【Human parsing】Interactive Markerless Articulated Hand Motion Tracking Using RGB and Depth Data

PDF: http://handtracker.mpi-inf.mpg.de/projects/handtracker_iccv2013/content/handtracker_iccv2013.pdf

project: http://handtracker.mpi-inf.mpg.de/projects/handtracker_iccv2013/

Srinath Sridhar (MPIInformatik and Saarland University):

Antti Oulasvirta (MPI Informatik and Saarland University):

Christian Theobalt (MPI Informatik and Saarland University):

【Human parsing】Human Attribute Recognition By Rich Appearance Dictionary

Jungseock Joo (UCLA):

Shuo Wang:

Song Chun Zhu (UCLA):

【Human parsing】Semantic RGB-D Bundle Adjustment with Human in the Loop

Jianxiong Xiao (MIT): http://vision.princeton.edu/people/xj/

Andrew Owens (MIT):

Antonio Torralba (MIT): http://web.mit.edu/torralba/www/

【Human parsing】No Matter Where You Are: Flexible Graph-guided Multi-task Learning for Multi-view Head Pose Classification Under Target Motion

Yan Yan (University of Trento):

Elisa Ricci (University of Perugia):

Ramanathan Subramanian (Advanced Digital Sciences Center in Singapore):

Oswald Lanz (FBKFondazione Bruno Kessler):

nicu Sebe (University of Trento):

【Human parsing】Pose Estimation and Segmentation of People in 3D Movies

PDF: http://www.di.ens.fr/willow/pdfscurrent/13iccv_alahari.pdf

project: http://www.di.ens.fr/willow/research/stereoseg/

dataset: http://www.di.ens.fr/willow/research/stereoseg/

Karteek Alahari (Inria/ Ecole Normale Superieure:


Guillaume Seguin (Ecole Normale Superieure:


Josef Sivic (Inria /Ecole Normale Superieure):

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


【Human parsing】Efficient Hand Pose Estimation from a Single Depth Image

PDF: http://web.bii.a-star.edu.sg/~chengli/papers/XuChe_ICCV13.pdf

project: http://web.bii.a-star.edu.sg/~xuchi/handengine.htm

Chi Xu (Bioinformatics Institute):

Li Cheng (Bioinformatics Institute):

【Human parsing】Symbiotic Segmentation and Part Localization for Fine-Grained Categorization

Yuning Chai (University of Oxford):

Victor Lempitsky (Skolkovo Institute of Scienceand Technology):

Andrew Zisserman (University of Oxford): http://www.robots.ox.ac.uk/~vgg/

【Human parsing】Strong Appearance and Expressive Spatial Models for Human Pose Estimation

Leonid Pishchulin (Max Planck Institute for Infor):

Mykhaylo Andriluka (Max Planck Institute for Informatics):

Peter Gehler (Max Planck ):

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


【Human parsing】Joint Segmentation and Pose Tracking of Human in Natural Videos

PDF: http://www.postech.ac.kr/~bhhan/papers/iccv2013_pose.pdf

Taegyu Lim (Samsung:


Seunghoon Hong (POSTECH:


Bohyung Han (POSTECH:


Joon Hee Han (POSTECH:


【Human parsing】ANon-parametric Bayesian Network Prior of Human Pose

Andreas Lehrmann (MPI for Intelligent Systems):

Peter Gehler (Max Planck ):

Sebastian Nowozin (Microsoft Research Cambridge):

【Human parsing】Model Recommendation with Virtual Probes for Ego-Centric Hand Detection

Cheng Li (Tsinghua University):

Kris Kitani (Carnegie Mellon University):

【Human parsing】Predicting Primary Gaze Behavior using Social Saliency Fields

Hyun Soo Park (CMU):

Eakta Jain (TI):

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

【Human parsing】Pictorial Human Spaces: How Well do Humans Perceive a 3D Articulated Pose?

Elisabeta Marinoiu (Romanian Academy of Science):

Dragos Papava (Institute of Mathematicsof the Romanian Academy):

Cristian Sminchisescu (Lund University):

【Human parsing】Paper Doll Parsing: Retrieving Similar Styles to Parse Clothing Items

project: http://www.cs.sunysb.edu/~kyamagu/research/paperdoll/

Kota Yamaguchi: http://vision.is.tohoku.ac.jp/~kyamagu/

  1. Hadi Kiapour (Stony Brook University):

Tamara Berg (Stony Brook University:


【Face recognition】A Practical Transfer Learning Algorithmfor Face Verification

PDF: http://research.microsoft.com/pubs/202192/TransferLearning.pdf

Xudong Cao (Microsoft Research Asia):

David Wipf:

Fang Wen:

Genquan Duan:

【Face recognition】Face Recognition via Random Path Measure Over Face Patch Network

Chaochao Lu (CUHK):

Deli Zhao (The Chinese University of Hong Kong):

【Face recognition】Face Recognition via Ranking over An Archetype Hull

Yuanjun Xiong (The Chinese University of Hong Kong):

Wei Liu (Columbia University):

Deli Zhao (The Chinese University of Hong Kong):

【Face recognition】Coupling Alignments with Recognition for Still-to-Video Face Recognition

PDF: http://vipl.ict.ac.cn/sites/default/files/papers/files/2013_ICCV_zwhuang_Coupling Alignments with Recognition for Still-to-Video Face Recognition.pdf

code: http://vipl.ict.ac.cn/sites/default/files/people/attach/CAR-v1.0.rar

Zhiwu Huang (ICT:


Xiaowei Zhao (ICT:


Shiguang Shan (Chinese Academy of Sciences: http://vipl.ict.ac.cn/members/sgshan


Ruiping Wang (Instituteof Computing Technology:

Chinese Academy of Sciences):

Xilin Chen:

【Face recognition】Similarity Metric Learning for Face Recognition

Qiong Cao (University of Exeter):

Yiming Ying (University of Exeter):

Peng Li(University of Bristol):

【Face recognition】Capturing Global Semantic Relationshipsfor Facial Action Unit Recognition

Ziheng Wang (RPI):

Yongqiang Li (Harbin Institute of Technology):


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

【Face recognition】Robust Feature Set Matching for Partial Face Recognition

RENLIANGWENG (Nanyang Technological Universi):

Jiwen Lu (Advanced Digital Sciences Center:


Junlin Hu (NTU):

Gao Yang (Nanyang Technological University):

Yap-Peng Tan:

【Face recognition】Markov Network-based Unified Classifierfor Face Identification

PDF: https://0e6e4fc3-a-62cb3a1a-s-sites.googlegroups.com/site/haepaly/Home/research/markovnetworkfacerecognition/wjhwang_ICCV2013_fin.pdf?attachauth=ANoY7cri7ql0l3MTuGH7Wss79IhDIVtqv4SQznCUHAcP5z1S6WqugwZcETTsZBt5SJGH04DBdc6izuA2FXrOh8wcDJsK0Si4WMtZ8VSN7REdrXsPYeYi-lEzWZ3l17MsF-qViDWzuwNpOM1ZHjU8L52xceUS_RnZzSBISOo8zENbJ8tOifsWrmeazd3E0NP54pgODSfkBroK3sZup0MBNjatCPPn49eS-gUar6db6qnl40BZH1B8BN5_UbeT1lHPhl00Ss4TuCX9KjGoODRIOEmZITuJn7gPMA%3D%3D&attredirects=0&d=0

project: https://sites.google.com/site/haepaly/Home/research/markovnetworkfacerecognition

Wonjun Hwang (Samsung AIT):

Kyungshik Roh:

Junmo Kim (KAIST):

【Face recognition】Random Faces Guided Sparse Many-to-One Encoder for Pose-Invariant Face Recognition

Yizhe Zhang:

Ming Shao (Northeastern University):

Edward Wong (Polytechnic Instituteof NYU):

Yun Fu (Northeastern University):

【Face recognition】Fast high dimensional vectormultiplication based face recognition

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

Oren Barkan (Tel Aviv University):

Jonathan Weill (Tel Aviv University):

Lior Wolf (Tel Aviv University:


Hagai Aronowitz (IBM Research):

【Face recognition】Hidden Factor Analysis for Age Invariant Face Recognition

Dihong GONG (SIAT):

Zhifeng LI (SIAT):

Dahua Lin (TTIC): http://dahua.me/

Jianzhuang Liu (CUHK):

Xiaoou Tang (Chinese University of Hong Kong ): http://mmlab.ie.cuhk.edu.hk/

【Face recognition】Sparse Variation Dictionary Learning for Face Recognition with A Single Training Sample Per Person

Meng YANG (ETH Zuricn):

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

Lei Zhang (The Hong Kong Polytechnic University):

【Face detection】Fast Face Detector Training Using Tailored Views

PDF: http://rogerioferis.com/publications/KristinaICCV2013.pdf

Kristina Scherbaum (MMCI):

Rogerio Feris (IBM T. J. Watson Research Center): http://rogerioferis.com/

James Petterson:

Volker Blanz (University of Siegen):

Hans-Peter Seidel (MPISaarland):

【Face detection】Probabilistic Elastic Part Model for Unsupervised Face Detector Adaptation

Haoxiang Li (Stevens Institute of Technology):

Gang Hua (Stevens Institute of Technology):

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

Jonathan Brandt (Adobe):

Jianchao Yang(Adobe Systems Inc.): http://www.ifp.illinois.edu/~jyang29/

【Face parsing】Learning to predict gaze in egocentricvideo

PDF: http://yinli.cvpr.net/Home/iccv_cam_ver5.pdf?attredirects=0

Yin Li (Georgia Institute of Technolog):

Alireza Fathi (Georgia Institute of Technology):

James Rehg (Georgia Institute of Technology): http://www.cc.gatech.edu/~rehg/

【Face parsing】Rank Minimization across Appearance and Shape for AAM Ensemble Fitting

PDF: https://www.dropbox.com/s/zfjfbwiy80s2z6h/PID2956847.pdf

Xin Cheng (Queensland U of Tech):

Sridharan Sridha (Queenland U of Tech):

Jason Saragih (Queenland U of Tech):

Simon Lucey:

【Face parsing】Exemplar-based Graph Matching for Robust Facial Landmark Localization

PDF: http://www.f-zhou.com/fa/2013_ICCV_EGM.pdf

project: http://www.f-zhou.com/fa.html

dataset: http://www.f-zhou.com/fa_code.html

Feng Zhou (Carnegie Mellon University):

Jonathan Brandt (Adobe):

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

【Face parsing】Cascaded Shape Space Pruning for Robust Facial Landmark Detection

PDF: http://www.iis.ee.ic.ac.uk/~xzhao/papers/iccv2013/cascaded4fll.pdf

Xiaowei Zhao (ICT:


Shiguang Shan (Chinese Academy of Sciences: http://vipl.ict.ac.cn/members/sgshan


Xiujuan Chai (jdl):

Xilin Chen:

【Face parsing】Like Father, Like Son: Facial Expression Dynamics for Kinship Verification

project: http://www.science.uva.nl/research/publications/2013/DibekliogluICCV2013/

Hamdi Dibeklioglu (University of Amsterdam):

Albert Salah (Bogazici University):

Theo Gevers (University of Amsterdam):

【Face parsing】Sieving Regression Forest Votes for Facial Feature Detection in the Wild

PDF: http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Yang_Sieving_Regression_Forest_2013_ICCV_paper.pdf

Heng Yang (Queen Mary Uni. of London):

Ioannis Patras (QMUL):

【Face parsing】Facial Action Unit Event Detection by Cascade of Tasks

Xiaoyu Ding (Carnegie Mellon University):

Wen-Sheng Chu (Carnegie Mellon University):

Fernando de la Torre (Carnegie Mellon University ):

Jeffrey Cohn:

Qiao Wang(Southeast University):

【Face parsing】Optimization problems for fast AAMfitting in-the-wild

Georgios Tzimiropoulos (University of Lincoln/Imperial College London):

Maja Pantic(Imperial College ): http://ibug.doc.ic.ac.uk/research

【Face parsing】Pose-free Facial Landmark Fitting via Optimized Part Mixtures and Cascaded Deformable Shape Model

PDF: http://www.research.rutgers.edu/~xiangyu/paper/iccv13_face_final.pdf

project: http://www.research.rutgers.edu/~xiangyu/face_align.html

code: http://www.research.rutgers.edu/~xiangyu/face_align.html

Xiang Yu (Rutgers University):

Junzhou Huang (Universityof Texas at Arlington):

Shaoting Zhang (Rutgers University): http://webpages.uncc.edu/~szhang16/

Wang Yan (Rutgers University):

Dimitris Metaxas (Rutgers University):

【Face parsing】Unsupervised Random Forest Manifold Alignment for Lipreading

Yuru PEI (Peking University):

Tae-Kyun Kim:

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


【Face parsing】Robust face landmark estimation underocclusion

PDF: http://vision.ucsd.edu/~pdollar/files/papers/BurgosArtizzuICCV13rcpr.pdf

Xavier Burgos Artizzu (Caltech):

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


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

【Face parsing】A Deep Sum-Product Architecture for Robust Facial Attributes Analysis

Ping Luo:


【Face parsing】Modifyingthe Memorability of Face Photographs

PDF: http://people.csail.mit.edu/khosla/papers/iccv2013_khosla.pdf

project: http://facemem.csail.mit.edu/

Aditya Khosla (MIT):

Wilma Bainbridge (MIT):

Antonio Torralba (MIT): http://web.mit.edu/torralba/www/

Aude Oliva (MIT):

【Face parsing】Accurateand Robust 3D Facial Performance Capture using Single RGBD Images

Yen-Lin Chen (Texas A&):

M University; Muscle Wu (Microsoft Research Asia):

Fuhao SHi (Texas A&):

M University; Xin Tong (Microsoft Asia):

Jinxiang Chai (TAMU):

【Object recognition】How Do You Tell a Blackbird from a Crow?

Thomas Berg (Columbia University):

Peter Belhumeur (Columbia University:


【Object recognition】Discovering Object Functionality

Bangpeng Yao (Stanford University):

Jiayuan Ma:

Fei-Fei Li (Stanford University): http://vision.stanford.edu/resources_links.html

【Object recognition】Deformable Part Descriptors for Fine-grained Recognition and Attribute Prediction

PDF: http://www.cs.berkeley.edu/~nzhang/papers/dpd_iccv13_final.pdf

Ning Zhang (EECS:

UC Berkeley):

Ryan Farrell (Brigham Young University):

Forrest Iandola (ICSI:


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

UC Berkeley):

【Object recognition】Bird Part Localization Using Exemplar-Based Models with Enforced Pose and Subcategory Consistency

PDF: http://faceserv.cs.columbia.edu/BirdDet/ICCV2013_bird.pdf


Peter Belhumeur (Columbia University:


【Object recognition】Handling Uncertain Tags in Visual Recognition

Arash Vahdat (Simon Fraser University):

Greg Mori (Simon Fraser University ): http://www.cs.sfu.ca/~mori/

【Object recognition】Hierarchical Part Matching for Fine-Grained Visual Categorization


Lingxi Xie (Tsinghua University):

Qi Tian (University of Texas at San Antonio): http://www.cs.utsa.edu/~qitian/

Richang Hong (Hefei University of Technology):

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


Bo Zhang (Tsinghua University):

【Object recognition】Collaborative Active Learning of a Kernel Machine Ensemble for Recognition

PDF: http://www.cs.stevens.edu/~ghua/publication/ICCV13a.pdf

Gang Hua (Stevens Institute of Technology):

Chengjiang Long (Stevens Institute of Technology):

Ming Yang (NEC Labs America):

Yan Gao (Northwestern University):

【Object recognition】Decomposing Bag of Words Histograms

PDF: http://www.di.ens.fr/~alahari/papers/gandhi13.pdf

Ankit Gandhi (IIIT Hyderabad):

Karteek Alahari (Inria /Ecole Normale Superieure:


  1. V. Jawahar (IIITHyderabad):

【Object recognition】Attribute Dominance: What Pops Out?

Naman Turakhia:

Devi Parikh (Virginia Tech): https://filebox.ece.vt.edu/~parikh/

【Object recognition】An Adaptive Descriptor Design for Object Recognition in the Wild

PDF: http://ece.ubc.ca/~zhenyug/iccv_2013_camReady.pdf

Zhenyu Guo (Universityof British Columbia):

Z.Jane Wang (University of British Columbia):

【Object recognition】Trainingdeformable part models with decorrelated features

project: http://www.cs.berkeley.edu/~rbg/

Ross Girshick (UC Berkeley): http://www.cs.berkeley.edu/~rbg/

Jitendra Malik (UC Berkeley): http://www.cs.berkeley.edu/~malik/

【Object recognition】Neighbor-To-Neighbor Search for Fast Coding of Feature Vectors

Nakamasa Inoue (Tokyo Institute of Technology):

Koichi Shinoda (Tokyo Institute of Technology):

【Object recognition】Hierarchical Joint Max-Margin Learning of Mid and Top Level Representations for Visual Recognition

PDF: http://asoto.ing.puc.cl/papers/finalHans-ICCV-13.pdf

Hans Lobel (Universidad Catolica de Chile):

Rene Vidal (Johns Hopkins University): http://cis.jhu.edu/~rvidal/

Alvaro Soto (Universidad Catolica de Chile):

【Object recognition】AUnified Probabilistic Approach Modeling Relationships between Attributes and Objects

Xiaoyang Wang (RPI):

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

【Object recognition】Image Set Classification Using Holistic Multiple Order Statistics Features and Localized Multi-Kernel Metric Learning

Jiwen Lu (Advanced Digital Sciences Center:


Gang Wang (NTU):

Pierre Moulin (UIUC):

【Object recognition】Heterogeneous Auto-Similarities of Characteristics

Marco San Biagio (IIT):

Marco Crocco (IIT):

Marco Cristani (IIT):

Samuele Martelli(IIT):

Vittorio Murino (Istituto Italiano di Tecnologia):

【Object recognition】Fine-Grained Categorization by Alignments

PDF: http://www.science.uva.nl/research/publications/2013/GavvesICCV2013/

Efstratios Gavves (University of Amsterdam):

Basura Fernando (KU Leuven):

Cees Snoek(University of Amsterdam):

Arnold Smeulders:

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

【Object recognition】Building Part-based Object Detectors via 3D Geometry

PDF: http://graphics.cs.cmu.edu/projects/gdpm/gDPM.pdf

Abhinav Shrivastava (Carnegie Mellon University):

Abhinav Gupta (Carnegie Mellon University): http://www.cs.cmu.edu/~abhinavg/

【Object recognition】Modeling4D Human-Object Interactions for Event and Object Recognition

PDF: http://www.stat.ucla.edu/~ybzhao/publications/4dinteraction_iccv2013.pdf

Ping Wei (Xi\\’an Jiaotong University:


Yibiao Zhao (UCLA):

Nanning Zheng (Xi\\’an Jiaotong University):

Song Chun Zhu (UCLA):

【Object detection】Regionlets for Generic Object Detectio

PDF: http://www.xiaoyumu.com/papers/Regionlets.pdf

Xiaoyu Wang (NECLabs America):

Ming Yang (NEC Labs America):

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

Yuanqing Lin:

【Object detection】Shufflets: shiftable shared parts formulti-category detection

Iasonas Kokkinos (Ecole Centrale Paris: http://cvn.ecp.fr/personnel/iasonas/index.html


【Object detection】Discriminatively Trained Templates for3D Object Detection: A Real Time Scalable Approach

Reyes Rios-Cabrera (KULeuven):

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

【Object detection】A Deformable Mixture Parsing Model with Parselets

Jian Dong (NUS):

Qiang Chen:

Wei Xia (NUS):

Zhongyang Huang:

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


【Object detection】Learning Near-Optimal Cost-Sensitive Decision Policy for Object Detection

Tianfu Wu (UCLA):

Song Chun Zhu (UCLA):

【Object detection】Coherent Object Detection with 3D Geometric Context from a Single Image

Jiyan Pan (Carnegie Mellon University):

Takeo Kanade:

【Object detection】BOLDfeatures to detect texture-less objects

PDF: http://vision.deis.unibo.it/fede/papers/iccv13_pre.pdf

project: http://vision.deis.unibo.it/BOLD

Federico Tombari (Universityof Bologna): http://vision.deis.unibo.it/fede/

Alessandro Franchi (Datalogic Automation):

Luigi Di Stefano(University of Bologna):

【Object detection】From Subcategories to Visual Composites: A Multi-Level Framework for Object Detection

Tian Lan (Simon Fraser University):

Leonid Sigal:

Michalis Raptis (Disney Research Pittsburgh):

Greg Mori (Simon Fraser University ): http://www.cs.sfu.ca/~mori/

【Object detection】Alternating Regression Forests for Object Detection and Pose Estimation

PDF: http://lrs.icg.tugraz.at/pubs/schulter_iccv_13.pdf

code: http://lrs.icg.tugraz.at/members/schulter

Samuel Schulter (Graz University of Technology):

Christian Leistner (Microsoft Austria):

Paul Wohlhart (Graz University of Technology):

Peter Roth (Graz University of Technology):

Horst Bischof (Graz University of Technology): http://www.icg.tugraz.at/Members/bischof

【Object detection】Relative Attributes For Large-scale Abandoned Object Detection

Quanfu Fan (IBM):

Prasad Gabbur:

Sharath Pankanti:

【Saliency detection】Analysis of scores, datasets, and modelsin visual saliency prediction

PDF: http://ilab.usc.edu/borji/papers/SaliencyModeling2013ICCV.pdf

Ali Borji: http://ilab.usc.edu/borji/


Hamed Rezazadegan Tavakoli (University of Oulu):


【Saliency detection】Efficient Salient Region Detection with Soft Image Abstraction

PDF: http://mmcheng.net/mftp/Papers/SaliencyGC.pdf

project: http://mmcheng.net/effisalobj/

code: http://mmcheng.net/effisalobj/

Ming-Ming Cheng (Oxford Brookes University):

Shuai Zheng (Oxford Brookes University):

Jonathan Warrell(Oxford Brookes University):

Vibhav Vineet (Oxford Brookes University):

Wenyan Lin (Oxford Brookes University):

【Saliency detection】Saliency Detection: A Boolean Map Approach

PDF: http://cs-people.bu.edu/jmzhang/BMS/BMS_iccv13_preprint.pdf

project: http://cs-people.bu.edu/jmzhang/BMS/BMS.html

Jianming Zhang (Boston University):

Stan Sclaroff (Boston University):

【Saliency detection】Salient Region Detection by UFO:Uniqueness, Focusness and Objectness

Peng Jiang (Shandong University):

Jingliang Peng (cs.sdu.edu.cn):

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

【Saliency detection】Contextual Hypergraph Modeling for Salient Object Detection

Xi Li (University of Adelaide):

Yao Li (University of Adelaide):

Chunhua Shen (The University of Adelaide):

Anthony Dick (University of Adelaide ):

Anton Van den Hengel (University of Adelaide ):

【Saliency detection】Saliency and Human Fixations: State-of-the-artand Study of Comparison Metrics

Nicolas Riche (UMONS):

Matthieu Duvinage (UMONS):

Matei Mancas (UMONS):

Bernard Gosselin (UMONS):

Thierry Dutoit (UMONS):

【Saliency detection】The Interestingness of Images

PDF: http://www.vision.ee.ethz.ch/~gyglim/interest/GygliICCV13_interestingness.pdf

project: http://www.vision.ee.ethz.ch/~gyglim/interest/iccv13.php

Michael Gygli (ETH Zurich):

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

Hayko Riemenschneider (CVL:

ETH Zurich):

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

【Saliency detection】Saliency Detection via Dense and Sparse Reconstruction

PDF: http://ice.dlut.edu.cn/lu/Project/DSR_saliency_iccv13/DSR_Saliency_ICCV13.pdf

project: http://ice.dlut.edu.cn/lu/Project/DSR_saliency_iccv13/web_DSR_saliency.html

Xiaohui Li (DUT:


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


Lihe Zhang (DUT:


Xiang Ruan (OMRON Corporation):

Ming-Hsuan Yang (UCMerced: http://faculty.ucmerced.edu/mhyang/


【Saliency detection】Prime Object Proposals with Randomized Prim\’s Algorithm

PDF: http://biwinas03.ee.ethz.ch/mguillau/publications/Manen2013iccv.pdf

project: http://www.vision.ee.ethz.ch/~smanenfr/rp/index.html

code: https://github.com/smanenfr/rp

Santiago Manen (BIWIETH Zurich):

Matthieu Guillaumin (ETHZurich):

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

【Saliency detection】Bayesian Joint Topic Modelling for Weakly Supervised Object Localisation

PDF: http://www.eecs.qmul.ac.uk/~ee07b235/publication/iccv13.pdf

Zhiyuan Shi (Queen Mary Univ.of London):

Timothy Hospedales (EECS:


Tao Xiang (EECS:


【Saliency detection】Saliency Detection via Absorbing Markov Chain

project: http://ice.dlut.edu.cn/lu/Project/saliency_MC_iccv13/absorb_MC.html

Bowen Jiang (DUT):

Lihe Zhang (DUT:


huchuan Lu (DUT:


Chuan Yang:

Ming-Hsuan Yang (UCMerced: http://faculty.ucmerced.edu/mhyang/


【Saliency detection】Predictingan Object Location using a Global Image Representation

PDF: http://fire-id.gforge.inria.fr/_static/papers/iccv13_rodriguez.pdf

Jose Rodriguez-Serrano:

Diane Larlus:

【Saliency detection】Category-Independent Object-level Saliency Detection

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

Mei Han (Google Research): http://research.google.com/pubs/author13553.html

【Saliency detection】Inferring”Dark Matter” and “Dark Energy” from Videos

Dan Xie (University of California Los Angeles):

Sinisa Todorovic (Oregon State University: http://web.engr.oregonstate.edu/~sinisa/


Song Chun Zhu (UCLA):

【Saliency detection】Saliency Detection in Large Point Sets

Elizabeth Shtrom (Technion):

George Leifman (Technion):

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

【Scene recognition】From Large Scale Image Categorization to Entry-Level Categories

PDF: http://www.cs.unc.edu/~vicente/files/entrylevel.pdf

Vicente Ordonez (UNCChapel Hill):

Jia Deng (Stanford University):

Yejin Choi (Stony Brook University):

Alexander Berg (UNCChapel Hill):

Tamara Berg (UNCChapel Hill):

【Scene recognition】Coupled Dictionary and Feature Space Learning with Applications to Cross-Domain Image Synthesis and Recognition

De-An Huang (Academia Sinica):

Yu-Chiang Frank Wang (Academia Sinica): http://www.citi.sinica.edu.tw/pages/ycwang/index_en.html

【Scene recognition】Large-scale Image Annotation by Efficient and Robust Kernel Metric Learning

Zheyun Feng (Michigan State University):

Rong Jin (Michigan State University):

Anil Jain (Michigan State University):

【Scene recognition】Ensemble Projections for Semi-supervised Image Classification

PDF: http://www.vision.ee.ethz.ch/~daid/publications/%5bdai_iccv13%5dEnsemble Projection for Semi-supervised Image Classification.pdf

project: http://www.vision.ee.ethz.ch/~daid/EnPro/

code: http://www.vision.ee.ethz.ch/~daid/EnPro/

Dengxin Dai (ETH):

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

【Scene recognition】Low-Rank Sparse Coding for Image Classification

Tianzhu Zhang (ADSC of UIUC in Singapore):

Bernard Ghanem (KAUST):

Si Liu (National University of Singapore):

Changsheng Xu (CASIA):

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

【Scene recognition】Synergistic Clustering of Image and Segment Descriptors for Unsupervised Scene Understanding

Daniel Steinberg (ACFR):

Oscar Pizarro (ACFR):

Stefan Williams (ACFR):

【Scene recognition】Class-Specific Simplex-Latent Dirichlet Allocation for Image Classification

Mandar Dixit (UC San Diego):

Nikhil Rasiwasia (Yahoo Research):

Nuno Vasconcelos (UCSan Diego: http://www.svcl.ucsd.edu/


【Text recognition】Scene Text Localization and Recognitionwith Oriented Stroke Detection

Lukas Neumann:

Jiri Matas (Czech Technical University):

【Text recognition】Recognizing Text with Perspective Distortion in Natural Scenes

PDF: http://www.comp.nus.edu.sg/~phanquyt/papers/iccv13.pdf

project: http://www.comp.nus.edu.sg/~phanquyt/perspective_scene_text_recognition.html

Trung Quy Phan (National University of Singapore):

Palaiahnakote Shivakumara (University of Malaya):

Shangxuan Tian (National University of Singapore):

Chew Lim Tan (National University of Singapore):

【Text recognition】Handwritten Word Spotting with Corrected Attributes

PDF: http://www.cvc.uab.es/~almazan/wp-content/uploads/2013/10/almazan_ICCV13.pdf

project: http://www.cvc.uab.es/~almazan/index.php/projects/words-att/

Jon Almazan (Computer Vision Center):

Albert Gordo (INRIA):

Alicia Fornes (Computer Vision Center):

Ernest Valveny (Computer Vision Center):

【Text recognition】Fingerspelling recognition withsemi-Markov conditional random fields

Taehwan Kim (TTIC):

Gregory Shakhnarovich (TTIC):

Karen Livescu (TTIC):

【Text recognition】Photo OCR:Reading Text in Uncontrolled Conditions

Mark Cummins (Google):

Alessandro Bissacco (Google Inc.):

Yuval Netzer (Google):

Hartmut Neven (Google):

【Text recognition】Text Localizationin Natural Images using Stroke Feature Transform and Text Covariance Descriptors

Weilin Huang (Adobe Research):

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

Jianchao Yang (Adobe Systems Inc.): http://www.ifp.illinois.edu/~jyang29/

Jue Wang: http://www.juew.org/

【Text recognition】Writea Classifier: Zero Shot Learning Using Purely Textual Descriptions

PDF: http://www.cs.rutgers.edu/~elgammal/pub/ICCV13_Write_a_classifier.pdf

Mohamed Elhoseiny (Rutgers University):

Ahmed Elgammal:

Babak Saleh (Rutgers University):

【Image retrieval】To aggregate or not to aggregate:Selective match kernels for image search

PDF: http://hal.inria.fr/docs/00/86/46/84/PDF/iccv13_tolias.pdf

Giorgos Tolias:

Yannis Avrithis (NTUA):

Herv Jgou (INRIA):

【Image retrieval】NEIL: Extracting Visual Knowledge from Web Data

PDF: http://www.neil-kb.com/papers/neil.pdf

project: http://www.neil-kb.com/

Xinlei Chen (Carnegie Mellon University):

Abhinav Shrivastava (Carnegie Mellon University):

Abhinav Gupta (Carnegie Mellon University): http://www.cs.cmu.edu/~abhinavg/

【Image retrieval】Internet-based morphable model

Ira Kemelmacher:

University of Washington:

【Image retrieval】Quadruplet-wise Image Similarity Learning

PDF: http://www-poleia.lip6.fr/~cord/Publications_files/cordiccv2013.pdf

Marc Law (UPMC Paris 6):

Nicolas Thome (UPMC Paris 6):

Matthieu Cord (UPMC Paris 6):

【Image retrieval】Implied Feedback: Learning Nuances of User Behavior in Image Search

Devi Parikh (Virginia Tech): https://filebox.ece.vt.edu/~parikh/

Kristen Grauman (University of Texas at Austin): http://www.cs.utexas.edu/~grauman/

【Image retrieval】Event Recognition in Photo Collectionswith a Stopwatch HMM

PDF: http://www.vision.ee.ethz.ch/datasets/pec/static/bossard_iccv13_event-recognition.pdf

dataset: http://www.vision.ee.ethz.ch/datasets/pec/

Lukas Bossard (ETHZurich):

Matthieu Guillaumin (ETH Zurich):

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

【Image retrieval】Unbiased Metric Learning: Utilize Biased Datasets and Web Images

Chen Fang (Dartmouth College):

Ye Xu (Dartmouth College):

Daniel Rockmore (Dartmouth College):

【Image retrieval】Mining Multiple Queries for Image Retrieval: On-the-fly learning of an Object-specific Mid-level Representation

PDF: http://homes.esat.kuleuven.be/~bfernand/papers/MQIR_ICCV_2013.pdf

Basura Fernando (KU Leuven):

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

【Image retrieval】Attribute Adaptation for Personalized Image Search

Adriana Kovashka:

Kristen Grauman (University of Texas at Austin): http://www.cs.utexas.edu/~grauman/

【Image retrieval】Attribute Pivots for Guiding Relevance Feedback in Image Search

Adriana Kovashka:

Kristen Grauman (University of Texas at Austin): http://www.cs.utexas.edu/~grauman/

【Image retrieval】Semantic-aware Co-indexing for Near-duplicate Image Retrieval

Shiliang Zhang (UTSA):

Ming Yang (NEC Labs America):

Xiaoyu Wang (NEC Labs America):

Yuanqing Lin:

Qi Tian (University of Texas at San Antonio): http://www.cs.utsa.edu/~qitian/

【Image retrieval】ANovel Earth Mover’s Distance Methodology for Image Matching with Gaussian Mixture Models

Peihua Li (Dalian University of Technolog):

Qilong Wang:

Lei Zhang (The Hong Kong Polytechnic University):

【Image retrieval】Quantizeand Conquer: A dimensionality-recursive solution to clustering, vectorquantization, and image retrieval

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

Yannis Avrithis (Image and Video Analysis:


【Image retrieval】Learning Hash Codes with Listwise Supervision for Web-Scale Image Search

Jun Wang (IBM T. J. Watson Research):

Wei Liu (Columbia University):

Andy Sun (IBM):

Yugang Jiang (Fudan University):

【Image retrieval】Query-adaptiveasymmetrical dissimilarities for visual object retrieval

Cai-Zhi Zhu (National Institute of Informatics):

Herv Jgou (INRIA):

shin’ichi satoh(NII):

【Image retrieval】Image Retrieval using Textual Cues

PDF: http://www.di.ens.fr/~alahari/papers/mishra13.pdf

Anand Mishra (IIITHyderabad):

Karteek Alahari (Inria /Ecole Normale Superieure):

  1. V. Jawahar (IIITHyderabad):

【Image retrieval】Random Grids: Fast Approximate Nearest Neighbors and Range Searching for Image Searc

PDF: http://research.google.com/pubs/pub41388.html

Dror Aiger (Google):

Effrosyni Kokiopoulou (Google):

Ehud Rivlin (Google Research):

【Image retrieval】Offline Mobile Instance Retrieval with a Small Memory Footprint

Jayaguru Panda (IIIT Hyderabad):

Michael Brown (National University of Singapore): http://www.comp.nus.edu.sg/~brown/

  1. v.Jawahar (IIIT Hyderabad):

【Image retrieval】3DSub-Query Expansion for Improving Sketch-based Multi-View Image Retrieval

PDF: http://www.csie.ntu.edu.tw/~winston/papers/lin13subquery.pdf

Yenliang Lin (National Taiwan University):

Cheng Yu Huang:

Hao Jeng Wang:

Winston Hsu:

【Image retrieval】Quasi-Unsupervised Learning for Reliably Relating Visual Attributes

Sukrit Shankar (Cambridge University):

Joan Lasenby (Univerity of Cambridge):

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

【Image retrieval】Heterogeneous Image Feature Integration via Multi-Modal Semi-Supervised Learning for Image Categorization

xiao Cai (University of Texas at Arlington):

Feiping Nie (University of Texas at Arlington):

Heng Huang (UTA):

【Image retrieval】Spoken Attributes: Mixing Binary and Relative Attributes to Say the Right Thing

Amir Sadovnik (Cornell University):

Andrew Gallagher:

Devi Parikh (Virginia Tech): https://filebox.ece.vt.edu/~parikh/

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

【Image retrieval】Large-Scale Video Hashing via Structure Learning

PDF: http://www.ee.columbia.edu/ln/dvmm/publications/13/Large-ScaleVideoHashingviaStructureLearning.pdf

Guangnan Ye (Columbia University):

Dong Liu (Columbia University):

Jun Wang (IBM T. J.Watson Research):

Shih-Fu Chang (Columbia University): http://www.ee.columbia.edu/ln/dvmm/

【Image retrieval】Visual Semantic Complex Network for Web Images

Shi Qiu (CUHK):

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


Xiaoou Tang (Chinese University of Hong Kong ): http://mmlab.ie.cuhk.edu.hk/

【3D modeling】Elastic Fragments for Dense Scene Reconstruction

PDF: http://vladlen.info/papers/elastic-fragments.pdf

project: http://vladlen.info/publications/elastic-fragments-for-dense-scene-reconstruction/

Qian-Yi Zhou (Stanford University):

Stephen Miller (Stanford University):

Vladlen Koltun(Stanford University): http://vladlen.info/publications/

【3D modeling】Lifting 3D Manhattan Lines from a Single Image

PDF: https://sites.google.com/site/ramalingamsrikumar/-site-ramalingamsrikumar-cv/RamalingamICCV13.pdf?attredirects=0&d=1

Srikumar Ramalingam (MERL):

Matthew Brand (MERL):

【3D modeling】Shape Anchors for Data-driven Multi-view Reconstruction

Andrew Owens (MIT):

Jianxiong Xiao (MIT): http://vision.princeton.edu/people/xj/

Antonio Torralba (MIT): http://web.mit.edu/torralba/www/

Bill Freeman (MIT:


【3D modeling】Dynamic Probabilistic Volumetric Model

PDF: http://www.lems.brown.edu/~au/iccv13.pdf

Ali Ulusoy (Brown University):

Joseph Mundy (Brown University):

【3D modeling】Enhanced Continuous Tabu Search for Parameter Estimation in Multiview Geometry

Guoqing Zhou (Northwestern Polytechnical University):

Qing Wang (Northwestern Polytechnical Uni):

【3D modeling】Deterministic Fitting of Multiple Structures using Iterative Max FS with Inlier Scale Estimation

Kwang Hee Lee (Sogang University):

Sang Lee (Sogang University:


【3D modeling】Complex 3D General Object Reconstructionfrom Line Drawings

Linjie Yang (CUHK):

Jianzhuang Liu (CUHK):

Xiaoou Tang (Chinese University of Hong Kong ): http://mmlab.ie.cuhk.edu.hk/

【3D modeling】A Flexible Scene Representation for 3DReconstruction Using RGB-D Camera

Diego Thomas (National Institute of Informat):

Akihiro Sugimoto:

【3D modeling】Point-Based 3D Reconstruction of Thin Objects

Benjamin Ummenhofer (University of Freiburg):

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

【3D modeling】Multi-View 3D Reconstruction from Uncalibrated Radially-Symmetric Cameras

PDF: http://users.cecs.anu.edu.au/~jaehak/paper/Kim_et_al_ICCV2013.pdf

Jae-Hak Kim (ANU):

Yuchao Dai (Australian National University):

Hongdong Li (Australian National University and NICTA):

Xin Du (Zhejiang University):

Jonghyuk Kim(ANU):

【3D modeling】Large-Scale Multi-Resolution Surface Reconstruction from RGB-D Sequences

Frank Steinbrcker (Technical University of Munich):

Christian Kerl (in.tum.de):

Juergen Sturm (TU Munich):

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

【3D modeling】Live Metric 3D Reconstruction on Mobile Phones

Petri Tanskanen (ETH Zurich):

Kalin Kolev (ETH Zurich):

Lorenz Meier (ETH Zurich):

Federico Camposeco Paulsen (ETH Zurich):

Olivier Saurer (ETH Zurich):

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

【3D modeling】Modeling the calibration pipeline of the Lytro camera and its application in high quality light-field imagereconstruction

donghyeon Cho (KAIST):

Minhaeng Lee (KAIST):

Sunyeong Kim (KAIST):

Yu-Wing Tai (KAIST:


【3D modeling】Multi-View Normal Field Integration for3D Reconstruction of Mirroring Objects

PDF: http://cg.cs.uni-bonn.de/aigaion2root/attachments/weinmann_reconstruction_of_mirroring_objects_iccv2013.pdf

project: http://cg.cs.uni-bonn.de/en/publications/paper-details/weinmann-2013-ReconstructionOfMirroringObjects/

Michael Weinmann (University of Bonn):

Aljosa Osep (University of Bonn):

Roland Ruiters(University of Bonn):

Reinhard Klein (University of Bonn):

【3D modeling】NYC3DCars: A Dataset of 3D Vehicles in Geographic Context

PDF: http://www.cs.cornell.edu/~snavely/publications/papers/nyc3dcars_iccv13.pdf

Kevin Matzen (Cornell University):

Noah Snavely (Cornell:


【3D modeling】Modeling Occlusion by Discriminative AND-OR Structures

Bo Li (Beijing Institute of Tech.):

Wenze Hu:

Tianfu Wu (UCLA):

Song Chun Zhu(UCLA):

【3D modeling】Box Inthe Box: Joint 3D Layout and Object Reasoning from Single Images

PDF: http://alexander-schwing.de/papers/SchwingEtAl_ICCV2013.pdf

Alexander Schwing (ETH Zurich):

Sanja Fidler (TTIC):

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

Raquel Urtasun(Toyota Technological Institute at Chicago): http://www.cs.toronto.edu/~urtasun/

【3D modeling】Viewing Real-World Faces in 3D

PDF: http://www.openu.ac.il/home/hassner/projects/ViewFaces3D/HassnerICCV2013preprint.pdf

project: http://www.openu.ac.il/home/hassner/projects/ViewFaces3D/

code: http://www.openu.ac.il/home/hassner/projects/ViewFaces3D/

Tal Hassner:

【Feature matching】HOGgles: Visualizing Object Detection Features

PDF: http://web.mit.edu/vondrick/ihog/techreport.pdf

code: http://web.mit.edu/vondrick/ihog/

Carl Vondrick (MIT):

Aditya Khosla (MIT):

Tomasz Malisiewicz (MIT): http://people.csail.mit.edu/tomasz/

Antonio Torralba (MIT): http://web.mit.edu/torralba/www/

【Feature matching】Style-aware Mid-level Representation for Discovering Visual Connections in Space and Time

Yong Jae Lee (Robotics Institute:

Carnegie Mellon University):

Alexei (Alyosha)Efros (CMU):

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


【Feature matching】Nested Shape Descriptors

PDF: https://www.dropbox.com/s/g8yc76ffx8ia99d/iccv13_nsd_final.pdf

Jeffrey Byrne:

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

【Feature matching】FISH:A Symmetry-aware Flip Invariant Sketch Histogram Shape Descriptor

Xiaochun Cao (Chinese Academy of Sciences):

Hua Zhang (Tju):

Si Liu (National Universityof Singapore):

Xiaojie Guo (Tianjin University):

【Pose estimation】A Global Linear Method for Camera Pose Registration

PDF: http://www.ece.nus.edu.sg/stfpage/eletp/Papers/iccv13_sfm.pdf

Nianjuan Jiang (ADSC):

Zhaopeng Cui (NUS):

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

【Pose estimation】Street View Structure-from-Motion

Bryan Klingner (Google):

David Martin (Google):

James Roseborough (Google):

【Pose estimation】Network Principles for Sf M:Disambiguating Repeated Structures with Local Context

PDF: http://www.cs.cornell.edu/projects/disambig/files/disambig_iccv2013.pdf

project: http://www.cs.cornell.edu/projects/disambig

code: https://github.com/wilsonkl/sfm-disambig

Kyle Wilson (Cornell University):

Noah Snavely (Cornell University):

【Pose estimation】A Robust Analytical Solution to Isometric Non-Rigid Pose with Focal Length Calibration

Adrien Bartoli (Universit?d’Auvergne):

Daniel Pizarro (ALCo V-ISIT):

Toby Collins(ALCo V-ISIT):

【Pose estimation】Global Fusion of Relative Motions for Robust, Accurate and Scalable Structure from Motion.

PDF: http://imagine.enpc.fr/~moulonp/publis/iccv2013/index.html

project: http://imagine.enpc.fr/~moulonp/publis/iccv2013/index.html

Pierre Moulon (Universite Paris-Est:



Pascal Monasse (Universite Paris-Est:



Renaud Marlet (Universite Paris-Est:



【Pose estimation】Efficient and Robust Large-Scale Rotation Averaging

Avishek Chatterjee (Indian Institute of Science):

Venu Madhav Govindu (Indian Instituteof Science):

【Pose estimation】Refractive Structure-from-Motion on Underwater Images

Anne Jordt-Sedlazeck (Kiel University):

Reinhard Koch(Christian-Albrechts-Universitat Kiel):

【Pose estimation】Pose Estimation with Unknown Focal Length using Points, Directions and Lines

Yubin Kuang (Lund University):

Kalle Astrom (Lund University ):

【Pose estimation】Real-Time Semi-Dense Monocular SLAM: AStatistical Approach

Jakob Engel (Technical University Munich):

Juergen Sturm (TU Munich):

Daniel Cremers(Technische Universitt Mnchen): http://vision.in.tum.de/

【Pose estimation】Extrinsic Camera Calibration Without ADirect View Using Spherical Mirror

Amit Agrawal:


【Pose estimation】Real-time solution to the absolute poseproblem with unknown radial distortion and focal length

Zuzana Kukelova:

Martin Bujnak (Bzovicka 24:




Tomas Pajdla (Czech Technical University):

【Pose estimation】Unsupervised intrinsic calibration froma single frame using a “plumb-line” approach

Rui Melo (ISR-Coimbra):

Michel Antunes:

Joao Barreto:

Gabriel Falco:

Nuno Gonalves:

【Pose estimation】An Enhanced Structure-from-Motion Paradigm based on the Absolute Dual Quadric and Images of Circular Points

Lilian Calvet (University of Toulouse):

Pierre Gurdjos (IRIT):

【Pose estimation】Camera Alignment using Trajectory Intersections in Unsynchronized Videos

PDF: http://vision.ece.ucsb.edu/publications/2013_iccv_thomas.pdf

Thomas Kuo (UC Santa Barbara):

Santhoshkumar Sunderrajan (UCSB):

B.S. Manjunath (UCSB):

【Pose estimation】Allocentric Pose Estimation

PDF: http://homes.esat.kuleuven.be/~joramas/papers/oramas_al-allocentricPoseEstimation-iccv13.pdf

Jose Oramas M. (KU Leuven):

Luc De Raedt (KU Leuven):

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

【Stereo matching】A Rotational Stereo Model Based On XSlit Imaging

Jinwei Ye (University of Delaware):

Yu Ji (University of Delaware):

Jingyi Yu(University of Delaware):

【Stereo matching】Rolling Shutter Stereo

PDF: http://cvg.ethz.ch/research/rolling-shutter-stereo/rolling-shutter-stereo.pdf

project: http://cvg.ethz.ch/research/rolling-shutter-stereo/

Olivier Saurer (ETH Zurich):

Kevin Koeser (GEOMAR Kiel ):

Jean-Yves Bouguet (Google:


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

【Stereo matching】Scene Intensity and Depth Acquisitionfrom One Detected Photon per Pixel

Ahmed Kirmani (MIT):

Dongeek Shin (MIT):

Dheera Venkatraman (MIT):

Franco Wong (MIT):

Vivek Goyal (MIT):

【Stereo matching】Line Assisted Light Field Triangulationand Stereo Matching

Zhan Yu (University of Delaware):

Xinqing Guo (University of Delaware):

Jingyi Yu(University of Delaware):

【Stereo matching】Constant Time Weighted Median Filteringfor Stereo Matching and Beyond

PDF: http://research.microsoft.com/en-us/um/people/kahe/publications/iccv13wmf.pdf

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

Ziyang Ma (Institute of Software:


Kaiming He (Mirosoft Research Asia): http://research.microsoft.com/en-us/um/people/kahe/

Yichen Wei:

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


Enhua Wu (Faculty of Science and Technology:

University of Macau):

【Stereo matching】PM-Huber: Patch Match with Huber Regularization for Stereo Matching

PDF: http://www6.in.tum.de/Main/Publications/Heise2013.pdf

Philipp Heise (TU Munich):

Sebastian Klose (TU Munich):

Brian Jensen (TU Munich):

Alois Knoll (TU Munich):

【Stereo matching】Joint Subspace Stabilization for Stereoscopic Video

Feng Liu (Portland State University): http://web.cecs.pdx.edu/~fliu/

Yuzhen Niu:

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

【Stereo matching】Image Guided Depth Upsampling using Anisotropic Total Generalized Variation

PDF: http://rvlab.icg.tugraz.at/documents/ferstl/iccv13_final.pdf

project: http://rvlab.icg.tugraz.at/project_page/project_tofusion/project_tofsuperresolution.html

code: http://rvlab.icg.tugraz.at/project_page/project_tofusion/project_tofsuperresolution.html

David Ferstl (Graz Universityof Technology):

Christian Reinbacher (Graz University of Technology):

Rene Ranftl (Graz University of Technology):

Matthias Ruether (Graz University of Technology):

Horst Bischof (Graz Universityof Technology): http://www.icg.tugraz.at/Members/bischof

【Stereo matching】Multiview Photometric Stereo using Planar Mesh Parameterization

PDF: http://rcv.kaist.ac.kr/~jspark/projects/multiview_planar_ps/Jspark_ICCV2013.pdf

project: http://rcv.kaist.ac.kr/~jspark/projects/multiview_planar_ps

Jaesik Park (KAIST):

Sudipta Sinha (Microsoft Research):

Yasuyuki Matsushita (Microsoft Research Asia):

Yu-Wing Tai (KAIST:


In So Kweon (KAIST): http://rcv.kaist.ac.kr/

【Stereo matching】Depth from Combining Defocus and Correspondence Using Light-Field Cameras

Michael Tao:

Sunil Hadap (Adobe Inc.):

Jitendra Malik (UC Berkeley): http://www.cs.berkeley.edu/~malik/

Ravi Ramamoorthi(U.C. Berkeley):

【Optical flow】Piecewise Rigid Scene Flow

PDF: http://www.igp.ethz.ch/photogrammetry/publications/pdf_folder/iccv13_Vogel.pdf

Christoph Vogel (ETH Zurich):

Konrad Schindler (ETH Zurich):

Stefan Roth (TU Darmstadt: http://www.igp.ethz.ch/photogrammetry/


【Optical flow】Large displacement optical flow withdeep matching

Philippe Weinzaepfel (INRIA):

Jerome Revaud: http://lear.inrialpes.fr/people/revaud/

Zaid Harchaoui (INRIA):

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


【Optical flow】Compensating for Motion During Direct-Global Separation

PDF: http://www.cs.cmu.edu/~sachar/Achar_ICCV2013.pdf

Supreeth Achar (Carnegie Mellon University):

Stephen Nuske (Carnegie Mellon University):

Srinivas Narasimhan (Carnegie Mellon University):

【Optical flow】Measuring Flow Complexity in Videos

Saad Ali:


【Optical flow】Optical Flow via Locally Adaptive Fusionof Complementary Data Costs

Tae Hyun Kim (Seoul National Univ.):

Heeseok Lee (Seoul National University):

Kyoung Mu Lee (Seoul National University): http://cv.snu.ac.kr/kmlee/

【Optical flow】Video Motion for Every Visible Point

Susanna Ricco (Duke University):

Carlo Tomasi (Duke University):

【Optical flow】Optimal Orthogonal Basis and Image Assimilation: Motion Modeling

Isabelle Herlin:

Etienne Huot (Inria):

Giuseppe Papari (Lithicon):

【Optical flow】Coherent motion segmentation in movingcamera videos using optical flow orientations

PDF: http://vis-www.cs.umass.edu/papers/motionSegmentationICCV2013.pdf

project: http://vis-www.cs.umass.edu/~narayana/motionsegmentation.html

Manjunath Narayana (University of Massachusetts:


Allen Hanson (University of Massachusetts:


Erik Learned-Miller (University of Massachusetts:


【Optical flow】Online Motion Segmentation using Dynamic Label Propagation

PDF: http://www.cs.rutgers.edu/~elqursh/papers/elqursh-iccv2013.pdf

Ali Elqursh (Rutgers University):

Ahmed Elgammal:

【Optical flow】Locally Affine Sparse-to-Dense Matching for Motion and Occlusion Estimation


Marius Leordeanu (Institute of Mathematics of the Romanian Academy):

Andrei Zanfir:

Cristian Sminchisescu (Lund University):

【Region matching】Local Signal Equalization for Correspondence Matching

Derek Bradley (Disney Research Zurich):

Thabo Beeler (Disney Research Zurich):

【Region matching】Direct Optimization of Frame-to-Frame Rotation

Laurent Kneip (ETH Zurich):

Simon Lynen (ETH Zurich):

【Region matching】Automatic Registration of RGB-D Scansvia Salient Directions

PDF: http://people.inf.ethz.ch/zeislb/publications/zeisl_2013iccv_SalDirRGBDRegistration.pdf

project: http://www.cvg.ethz.ch/research/saldir-rgbd-registration

Bernhard Zeisl (ETHZurich):

Kevin Koeser (Geomar Kiel):

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

【Region matching】Space-Time Tradeoffs in Photo Sequencin

PDF: http://www.eng.tau.ac.il/~talib/papers/PhotoSeqICCV13.pdf

project: http://www.eng.tau.ac.il/~talib/PS2.html

Tali Basha Dekel (TAU):

Shai Avidan (Tel-Aviv University):

Yael Moses:

【Region matching】Globally-Optimal ICP : Solving the 3DRegistration Problem Efficiently and Globally Optimally

Jiaolong Yang (Beijing Inst. of Tech.):

Hongdong Li (Australia National University):

Yunde Jia:

【Region matching】Robust non-parametric Correspondence Fitting

project: http://mmcheng.net/npcf/

Wen-Yan Lin (Oxford Brookes):

Ming Ming Cheng:

Kyle Zheng (Universityof Oxford):

Jiangbo Lu (Advanced Digital Sciences Cent):

Crook Nigel:

【Region matching】Rectangling Stereographic Projection for Wide-Angle Image Visualization

PDF: http://www.csie.ntu.edu.tw/~cyy/publications/papers/Chang2013RSP.pdf

Che-Han Chang (National Taiwan University):

Min-Chun Hu (National Cheng Kung University):

Wen-Huang Cheng (Academia Sinica):

Yung-Yu Chuang (National Taiwan University):

【Region matching】DCSH – Matching Patches in RGBD Images

PDF: http://www.eng.tau.ac.il/~simonk/DCSH/DCSH_iccv_2013.pdf

project: http://www.eng.tau.ac.il/~simonk/DCSH/

Yaron Eshet (Tel-Aviv University):

Simon Korman (Tel-Aviv University):

Eyal Ofek (Microsoft):

Shai Avidan (Tel-Aviv University):

【Region matching】On One-Shot Kernels: explicit featuremaps and properties

Stefanos Zafeiriou (Imperial):

Irene Kotsia (Imperial College London/Middlesex University):

【Region matching】EVSAC: Accelerating Hypotheses Generation by Modeling Matching Scores with Extreme Value Theory

Victor Fragoso (UCSB):

Pradeep Sen (UCSB):

Sergio Rodriguez (UCSB):

Matthew Turk (UCSanta Barbara:


【Region matching】Multiple Non-Rigid Surface Detection and Registration

PDF: http://faculty.ucmerced.edu/mhyang/papers/iccv13_registration.pdf

Yi Wu (UC Merced):

Yoshihisa Ijiri (OMRON):

Ming-Hsuan Yang (UC Merced: http://faculty.ucmerced.edu/mhyang/


【Region matching】Image Matching: a General Framework Combining Direct and Feature-based Costs

PDF: http://www.braux-zin.com/pdf/brauxzin_iccv2013.pdf

Jim Braux-Zin (CEA:


Adrien Bartoli (Universitéd\’Auvergne):

Romain Dupont (CEA:


【Region matching】A Generic Deformation Model for Dense Non-Rigid Surface Registration: a Higher-Order MRF-based Approach

PDF: http://files.is.tue.mpg.de/chwang/papers/CDC_HOMRF_ICCV13.pdf

Yun Zeng (Harvard University):

Chaohui Wang (MPIfor Intelligent Systems):

David Gu (Stony Brook University):

Dimitris Samaras (Stony Brook University):

Nikos Paragios (Ecole Centrale Paris):

【Region matching】Elastic Net Constraints for Shape Matching

PDF: https://vision.in.tum.de/_media/spezial/bib/rodola-iccv13.pdf

Emanuele Rodola (The University of Tokyo:

TU Munich):

Andrea Torsello (Universita Ca\’ Foscari Venezia):

Tatsuya Harada (The University of Tokyo):

Yasuo Kuniyoshi (The University of Tokyo):

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

【Region matching】Unsupervised Visual Domain Adaptation Using Subspace Alignment

PDF: http://homes.esat.kuleuven.be/~bfernand/papers/SA_ICCV_2013.pdf

code: http://homes.esat.kuleuven.be/~bfernand/DA_SA/index.html

Basura Fernando (KU Leuven):

Amaury Habrard (University Jean Monnet of Saint-Etienne):

Marc Sebban (University of Jean Monnet in Saint-Etienne:

Hubert Curien Laboratory):

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

【Region matching】Joint optimization for consistentmultiple graph matching

PDF: http://www.cc.gatech.edu/~zha/papers/p350_final.pdf

Junchi Yan (Shanghai Jiao Tong University):

Yu Tian (Shanghai Jiao Tong University):

Hongyuan Zha (Georgia Tech):

Xiaokang Yang (Shanghai Jiao Tong University):

Ya Zhang (Shanghai Jiao Tong University):

Stephen Chu (IBM):

【Region matching】SIFTpack:a compact representation for efficient SIFT matching

PDF: http://cgm.technion.ac.il/Computer-Graphics-Multimedia/Software/SIFTPack/egpaper_final.pdf

project: http://webee.technion.ac.il/people/cgm/Computer-Graphics-Multimedia/Software/SIFTPack/

Alexandra Gilinsky (Technion):

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


【Region matching】AFully Hierarchical Approach for Finding Correspondences in Non-rigid Shapes

PDF: http://users.dcc.uchile.cl/~isipiran/papers/iccv2013.pdf

Ivan Sipiran (University of Konstanz):

Benjamin Bustos (University of Chile):

【Region matching】Parallel Transport of Deformations in Shape Space of Elastic Surfaces

QIANXIE (Florida State University):

Sebastian Kurtek (Ohiao State University):

Huiling Le:

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

【Region matching】From Point to Set: Extend the Learning of Distance Metrics

Pengfei Zhu (The Hong Kong Polytechnic University):

Lei Zhang (The Hong Kong Polytechnic University):

Wangmeng Zuo (Harbin Institute of Technology):

David Zhang (The Hong Kong Polytechnic University): http://www4.comp.polyu.edu.hk/~csdzhang/

【Image editing】Nonparametric Blind Super-Resolution

PDF: http://www.wisdom.weizmann.ac.il/~irani/PAPERS/BlindSR_ICCV2013.pdf

Tomer Michaeli (Weizmann Institute of Science):

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


【Image editing】Forward Motion Deblurring

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

project: http://www.cse.cuhk.edu.hk/~leojia/projects/forwarddeblur/index.html

Shicheng Zheng (CUHK):

Li Xu (CUHK):

Jiaya Jia (Chinese University of Hong Kong): http://www.cse.cuhk.edu.hk/leojia/

【Image editing】Dynamic Scene Deblurring

Tae Hyun Kim (Seoul National Univ.):

Byeongjoo Ahn (Seoul National University):

Kyoung Mu Lee (Seoul National University): http://cv.snu.ac.kr/kmlee/

【Image editing】Video Synopsis by Heterogeneous Multi-Source Correlation

PDF: http://personal.ie.cuhk.edu.hk/~ccloy/files/iccv_2013_synopsis.pdf

project: http://personal.ie.cuhk.edu.hk/~ccloy/project_video_synopsis/index.html

Xiatian Zhu (Queen Mary:

Univ. of London):

Chen Change Loy (The Chinese University of Hong Kong): http://www.eecs.qmul.ac.uk/~ccloy/

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

Univ. of London):

【Image editing】Deblurring by Example using Dense Correspondence

project: http://www.cs.huji.ac.il/~yoavhacohen/deblurring/

Yoav Ha Cohen (Hebrew University):

Eli Shechtman (Adobe Research): http://www.adobe.com/technology/people/seattle/eli-shechtman.html

Dani Lischinski (Hebrew University): http://www.cs.huji.ac.il/~danix/

【Image editing】Accurate Blur Models vs. Image Priors in Super-Resolution

Netalee Efrat (Weizmann institute):

Daniel Glasner (Weizmann Institute):

sasha Apartsin(weizmann institute):

Boaz Nadler (weizmann institute):

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


【Image editing】Fast Direct Super-Resolution by Simple Functions

PDF: http://faculty.ucmerced.edu/mhyang/papers/iccv13_superresolution.pdf

Chih-Yuan Yang (UC Merced):

Ming-Hsuan Yang (UC Merced: http://faculty.ucmerced.edu/mhyang/


【Image editing】Anchored Neighborhood Regression for Fast Example-Based Super-Resolution

PDF: http://www.vision.ee.ethz.ch/~timofter/publications/Timofte-ICCV-2013.pdf

project: http://www.vision.ee.ethz.ch/~timofter/ICCV2013_ID1774_SUPPLEMENTARY/index.html

Radu Timofte (KULeuven:

ETH Zurich):

Vincent De Smet (KULeuven):

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

ETH Zurich):

【Image editing】Efficient Image Dehazing with Boundary Constraint and Contextual Regularization

PDF: http://www.escience.cn/people/menggaofeng

Gaofeng MENG (Chinese Academy of Sciences):

Ying WANG:

Jiangyong DUAN:

Shiming Xiang (NLPR:


Chunhong Pan (NLPR: http://people.gucas.ac.cn/~panchunhong


【Image editing】A Generalized Low-Rank Appearance Modelfor Spatio-Temporally Correlated Rain Streaks

Yi-Lei Chen (NTHU:


Chiou-Ting Hsu (NTHU:


【Image editing】Exploiting Reflection Change for Automatic Reflection Removal

PDF: http://www.comp.nus.edu.sg/~liyu1988/paper/iccv2013.pdf

Yu Li (NUS):

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

【Image editing】A Learning-Based Approach to Reduce JPEGArtifacts in Image Matting

Inchang Choi:

Sunyeong Kim (KAIST):

Michael Brown (National University of Singapore): http://www.comp.nus.edu.sg/~brown/

Yu-Wing Tai (KAIST:


【Image editing】Single-patch low-rank prior fornon-pointwise impulse noise removal

Ruixuan Wang (University of Dundee):

Emanuele Trucco (University of Dundee):

【Image editing】Cross-Field Joint Image Restoration via Scale Map

PDF: http://www.cse.cuhk.edu.hk/~leojia/papers/crossfield_iccv13.pdf

project: http://www.cse.cuhk.edu.hk/~leojia/projects/crossfield/index.html

Qiong Yan (CUHK):

Xiaoyong Shen (CUHK):

Li Xu (CUHK):

Shaojie Zhuo (qualcomm.com):

Xiaopeng Zhang:

Liang Shen:

Jiaya Jia (Chinese University of Hong Kong): http://www.cse.cuhk.edu.hk/leojia/

【Image editing】A New Image Quality Metric for Image Auto-Denoising

PDF: http://faculty.ucmerced.edu/mhyang/papers/iccv13_denoise.pdf

project: http://www.cs.cityu.edu.hk/~qiyang/publications/iccv-13/

Xiangfei Kong (City University of Hong Kong):

Kuan Li (NUDT):

Qingxiong Yang (City University of Hong Kong): http://www.cs.cityu.edu.hk/~qiyang/

Ming-Hsuan Yang (UC Merced: http://faculty.ucmerced.edu/mhyang/


Liu Wenyin(Shanghai University of Electronic Power):

【Image editing】Restoring An Image Taken Through a Window Covered with Dirt or Rain

David Eigen (Courant Institute:


Dilip Krishnan (NYU):

Rob Fergus (New York University): http://cs.nyu.edu/~fergus/

【Image editing】A Joint Intensity and Depth Co-Sparse Analysis Model for Depth Map Super-Resolution

Martin Kiechle (Technische Universitt Mnchen):

Simon Hawe (Technische Universitt Mnchen):

Martin Kleinsteuber (Technische Universitt Mnchen):

【Image editing】Robust Tucker Tensor Decomposition for Efficient Image Storage

Miao Zhang (University of Texas at Arlingt):

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

【Image editing】Joint Noise Level Estimation from Personal Photo Collections

Yi Chang Shih (M.I.T.):

Vivek Kwatra:

Sergey Ioffe:

Hui Fang:

Troy Chinen:

【Image editing】Super-resolution via Transform-invariant Group-sparse Regularization

PDF: http://www.stanford.edu/~cfgranda/stuff/TI_DTV_superres.pdf

Carlos Fernandez-Granda (Stanford University):

【Image editing】Fast online orthogonal dictionarylearning and image restoration

Chenglong Bao (nus.edu.sg):

Jianfeng Cai (uiowa.edu):

Hui Ji (NUS:


【Image editing】A Simple Model for Intrinsic Image Decomposition with Depth Cues

Qifeng Chen:

Vladlen Koltun (Stanford University): http://vladlen.info/publications/

【Image editing】Take Your Favorite Cloud with You

Kuan-Chuan Peng (Cornell University):

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

【Image editing】Multi-Channel Correlation Filters

PDF: http://www.comp.nus.edu.sg/~hkiani/MCCF_ICCV.pdf

Hamed Kiani galoogahi (NUS):

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

Simon Lucey (CSIRO):

【Image editing】Manifoldbased Image Synthesis from Sparse Samples

PDF: https://www.academia.edu/5293861/Manifold_based_Face_Synthesis_from_Sparse_Samples

Hongteng Xu (Georgia Tech):

Hongyuan Zha (Georgia Tech):

【Computational photography】A Color Constancy Model with Double-Opponency Mechanisms

PDF: http://www.neuro.uestc.edu.cn/vccl/papers/Gao_ICCV2013_Final.pdf

Shaobing Gao (UESTC):

Kaifu Yang (UESTC):

Chaoyi Li:

Yongjie Li (UESTC):

【Computational photography】Structured Light in Sunlight

PDF: http://www1.cs.columbia.edu/CAVE/publications/pdfs/Gupta_ICCV13a.pdf

project: http://www.cs.columbia.edu/CAVE/projects/sl_in_sunlight/

Mohit Gupta (Columbia University):

Qi Yin:

Shree Nayar (Columbia University):

【Computational photography】Content-Aware Rotation

project: http://research.microsoft.com/en-us/um/people/kahe/iccv13car/index.html

Kaiming He (Mirosoft Research Asia): http://research.microsoft.com/en-us/um/people/kahe/

Huiwen Chang (Tsinghua University):

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


【Computational photography】Fluttering Pattern Generation using Modified Legendre Sequence for Coded Exposure Imaging

project: https://sites.google.com/site/jyleecv/legendre_coded_exposure

Hae-Gon Jeon (KAIST):

Joon-Young Lee (KAIST):

Yudeog Han (KAIST):

Seon Joo Kim (Yonsei University):

In So Kweon (KAIST: http://rcv.kaist.ac.kr/


【Computational photography】Fibonacci Exposure Bracketing for High Dynamic Range Imaging

PDF: http://www1.cs.columbia.edu/CAVE/publications/pdfs/Gupta_ICCV13b.pdf

project: http://www.cs.columbia.edu/CAVE/projects/FibonacciHDR/

Mohit Gupta:

Daisuke Iso (Columbia University):

Shree Nayar (Columbia University):

【Computational photography】Target-Driven Moire Pattern Synthesis by Phase Modulation

PDF: http://www.csie.ntu.edu.tw/~cyy/publications/papers/Tsai2013TDM.pdf

Pei-Hen Tsai (National Taiwan University):

Yung-Yu Chuang (National Taiwan University):

【Computational photography】Towards Motion-Aware Light Field Videofor Dynamic Scenes

Salil Tambe (Rice University):

Ashok Veeraraghavan (Rice University):

Amit Agrawal(MERL):

【Computational photography】Real-World Normal Map Capture for Nearly Flat Reflective Surfaces

Bastien Jacquet (ETH Zurich):

Christian Hne (ETH Zrich):

Kevin Koeser:

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

【Computational photography】High Quality Shape from a single RGB-DImage under Uncalibrated Natural Illumination

PDF: https://dl.dropboxusercontent.com/u/91374104/web/paper/iccv13_rgbd_shape_estimation.pdf

project: https://sites.google.com/site/jyleecv/rgbd_shape_estimation

Yudeog Han (KAIST):

Joon-Young Lee (KAIST):

Inso Kweon (KAIST:


【Texture analysis】Example-based Facade Texture Synthesis

PDF: http://www.vision.ee.ethz.ch/~daid/publications/facade_synthesis_iccv13.pdf

project: http://www.vision.ee.ethz.ch/~daid/FacadeSyn/

Dengxin Dai (ETH):

Hayko Riemenschneider (ETH):

Gerhard Schmitt (ETH):

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

【Texture analysis】Shape Index Descriptors Applied to Texture-Based Galaxy Analysis

Kim Pedersen (diku.dk):

Kristoffer Stensbo-Smidt (DIKU):

Andrew Zirm (NBI KU):

Christian Igel (DIKU):

【Texture analysis】SGTD: Structure Gradient and Texture Decorrelating Regularization for Image Decomposition

Qiegen Liu:

Jianbo Liu:

Pei Dong:

Dong Liang (Shenzhen Institutes of Advance):

【Texture analysis】Estimating the Material Properties of Fabric Through Observation of Motion

Katherine Bouman (Massachusetts Institute of Tec):

Bill Freeman (MIT:


Bei Xiao:

Peter Battaglia:

Wojciech Matusik:

John Fisher (MIT): http://groups.csail.mit.edu/vision/sli/

【Texture analysis】Matching Dry to Wet Materials

Yaser Yacoob:

Univ of Maryland:

【Illumation analysis】Towards Guaranteed Illumination Modelsfor Non-Convex Objects

Yuqian Zhang (Columbia University):

Cun Mu (Columbia University):

Han-wen Kuo(Columbia University):

John Wright:

【Illumation analysis】Separating Reflective and Fluorescent Components using High Frequency Illumination in the Spectral Domain

Ying Fu (The University of Tokyo):

Antony Lam (National Institute of Informatics):

Imari Sato:

Takahiro Okabe:

Yoichi Sato (The University of Tokyo:


【Illumation analysis】Subpixel scanning invariant to indirectlighting using quadratic code length

Nicolas Martin:

Vincent Couture:

Sebastien Roy:

【Illumation analysis】Corrected-Moment Illuminant Estimation

Graham Finlayson:

University of East Anglia:

【Illumation analysis】Illuminant Chromaticity from Image Sequences

PDF: http://www.cs.huji.ac.il/labs/cglab/projects/illumest/Illuminant/iccv2013_illuminant.pdf

project: http://www.cs.huji.ac.il/labs/cglab/projects/illumest/Illuminant/

code: http://www.cs.huji.ac.il/labs/cglab/projects/illumest/Illuminant/Illuminant/Code_ICCV2013_vdm.tar.gz

dataset: http://www.cs.huji.ac.il/labs/cglab/projects/illumest/Illuminant/Data_ICCV2013_vdm.tar.gz

Veronique Prinet (The Hebrew University of Jerusalem):

Dani Lischinski (The Hebrew University of Jerusalem): http://www.cs.huji.ac.il/~danix/

Michael Werman (The Hebrew University of Jerusalem): http://www.cs.huji.ac.il/~werman/

【Medical image】Tissue Classification via Unsupervised Feature Learning and Spatial Pyramid Matching

Hang Chang (Lawrence Berkeley National Lab):

Nandita Nayak:

Paul Spellman:

Bahram Parvin:

【Medical image】Uncertainty-driven Efficiently-Sampled Sparse Graphical Models for Concurrent Tumor Segmentation and Atlas Registration

Sarah Parisot (Ecole Centrale Paris):

William Wells (Surgical Planning Laboratory:

Harvard Medical School):

Stphane Chemouny (Intrasense SA):

Hugues Duffau(Hpital Gui de Chauliac):

Nikos Paragios (Ecole Centrale de Paris ):

【Data clustering】Fast Subspace Search via Grassmannian Based Hashing

Xu Wang (University of Minnesota):

Stefan Atev:

John Wright:

Gilad Lerman(University of Minnesota):

【Data clustering】Minimal Basis Facility Location for Subspace Segmentation

Choon Meng Lee (NUS):

Loong-Fah Cheong (NUS):

【Data clustering】Latent Space Sparse Subspace Clustering

Vishal Patel (UMIACS):

Hien Nguyen (UMIACS):

Rene Vidal (Johns Hopkins University): http://cis.jhu.edu/~rvidal/

【Data clustering】Robust Subspace Clustering via Half-Quadratic Minimization

Yingya Zhang (NLPR CASIA):

Zhenan Sun (NLPR CASIA):


Tieniu Tan(NLPR China): http://lab.datatang.com/1984DA173065/Default.aspx

【Data clustering】Correntropy Induced L2 Graph for Robust Subspace Clustering

PDF: http://www.cis.pku.edu.cn/faculty/vision/zlin/Publications/2013-ICCV-CIL2.pdf

Canyi Lu (National University of Singapo):

Jinhui Tang:

Min Lin:

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

Shuicheng Yan (National University of Singapo): http://www.lv-nus.org/index.html

Zhouchen Lin (Peking University): http://www.cis.pku.edu.cn/faculty/vision/zlin/zlin.htm

【Space reduction】Partial Sum Minimization of Singular Values in RPCA for Low-Level Vision

Tae-Hyun Oh (KAIST):

Hyeongwoo Kim (KAIST):

Yu-Wing Tai (KAIST:


Jean-Charles Bazin (ETH-Z):

In So Kweon (KAIST): http://rcv.kaist.ac.kr/

【Space reduction】AScalable Unsupervised Feature Merging Approach to Efficient Dimensionality Reduction of High-dimensional Visual Data

Lingqiao Liu (Australian National University):

Lei Wang (University of Wollongong):

【Space reduction】Linear Sequence Discriminant Analysis: A Model-Based Dimensionality Reduction Methodfor Vector Sequences

Bing Su (Tsinghua University):

Xiaoqing Ding (Tsinghua University):

【Machine learning】Hierarchical Data-driven Descent for Efficient Optimal Deformation Estimation

PDF: http://www.cs.cmu.edu/~yuandong/iccv13_camera_ready.pdf

Yuandong Tian (Carnegie Mellon University):

Srinivas Narasimhan (Carnegie Mellon University):

【Machine learning】Potts model, parametric maxflow andk-submodular functions

PDF: http://pub.ist.ac.at/~vnk/papers/GK-ICCV13.pdf

Igor Gridchyn (IST Austria):

Vladimir Kolmogorov (IST: http://pub.ist.ac.at/~vnk/


【Machine learning】Learning Graphs to Match

PDF: http://www.di.ens.fr/willow/pdfscurrent/cho2013.pdf

project: http://www.di.ens.fr/willow/research/graphlearning/

Minsu Cho (Inria:


Karteek Alahari (Inria/ Ecole Normale Superieure:


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


【Machine learning】Beyond Hard Negative Mining: Efficient Detector Learning via Block-Circulant Decomposition

PDF: http://www2.isr.uc.pt/~henriques/publications/henriques_iccv2013.pdf

Joao F. Henriques (ISR- University of Coimbra):

Joao Carreira (ISR -University of Coimbra):

Rui Caseiro (ISR – University of Coimbra):

Jorge Batista (ISR- University of Coimbra):

【Machine learning】Revisiting the P\

Yinqiang Zheng (Tokyo Institute of Technology):

Yubin Kuang (Lund University):

shigeki Sugimoto (Tokyo Institute of Technology):

Kalle Astrom (Lund University ):

Masatoshi Okutomi (Tokyo Institute of Technology ):

【Machine learning】Adapting Classification Cascades to New Domains

vidit Jain:

Sachin Farfade:

【Machine learning】Revisiting Example Dependent Cost-Sensitive Learning with Decision Trees

PDF: http://visual.cs.ucl.ac.uk/pubs/costSensitive/costSensitiveICCV2013.pdf

project: http://visual.cs.ucl.ac.uk/pubs/costSensitive/index.html

Oisin Mac Aodha (UCL):

Gabriel Brostow:

【Machine learning】A Convex Optimization Framework for Active Learning

Ehsan Elhamifar (UC Berkeley):

Guillermo Sapiro (Duke ):

Shankar Sastry (UC Berkeley):

【Machine learning】Slice Sampling Particle Belief Propagation

Oliver Mller (Leibniz Universitt Hannover):

Michael Ying Yang (tnt.uni-hannover.de):

Bodo Rosenhahn:

【Machine learning】Non-Convex P-norm Projection for Robust Sparsity

Mithun Das Gupta (Ricoh Innovations Pvt. Ltd.):

Sanjeev Kumar (Qualcomm):

【Machine learning】Shortest Paths with Curvature and Torsion

Petter Strandmark (Lund Univeristy):

Johannes Uln (Lund University):

Fredrik Kahl(Lund University):

【Machine learning】Curvature Regularization using Partial Enumeration

Carl Olsson:

Johannes Uln (Lund University):

Yuri Boykov (University of Western Ontario: http://www.csd.uwo.ca/~yuri/


Vladimir Kolmogorov (IST: http://pub.ist.ac.at/~vnk/


【Machine learning】GOSUS: Grassmannian Online Subspace Updates with Structured-sparsity

PDF: http://pages.cs.wisc.edu/~jiaxu/projects/gosus/gosus-iccv2013.pdf

project: http://pages.cs.wisc.edu/~jiaxu/projects/gosus/

Jia Xu (UW-Madison):

Vamsi K. Ithapu (UW-Madison):

Lopamudra Mukherjee (Universityof Wisc Whitewater):

James Rehg (Georgia Institute of Technology): http://www.cc.gatech.edu/~rehg/

Vikas Singh (UW-Madison): http://www.biostat.wisc.edu/~vsingh/

【Machine learning】Total Variation Regularization for Functions with Values in a Manifold

Jan Lellmann (University of Cambridge):

Evgeny Strekalovskiy (TU Munich):

Sabrina Koetter (TU Munich):

Daniel Cremers (Technische Universitt Mnchen): http://vision.in.tum.de/

【Machine learning】On the Mean Curvature Flow on Graphswith Applications in Image and Manifold Processing

Elchakik Abdallah (Greyc Laboratory):

abderrahim ELmoataz:

ahcen Sadi:

【Machine learning】Perceptual Fidelity Aware Mean Squared Error

PDF: http://www4.comp.polyu.edu.hk/~cslzhang/paper/conf/ICCV13/PAMSE.pdf

Wufeng Xue (Xi\’an Jiaotong University):

Xuanqin Mou (Xi\’an Jiaotong University):

Lei Zhang (The Hong Kong Polytechnic University):

Xiangchu Feng (School of Science:

Xidian University):

【Machine learning】Complementary Projection Hashing

Zhongming Jin (Zhejiang University):

Deng Cai:

Yao Hu (Zhejiang university):

Debing Zhang(Zhejiang university):

Xuelong Li:

【Machine learning】Joint Inverted Indexing

PDF: http://research.microsoft.com/en-us/um/people/kahe/publications/iccv13jkm.pdf

Yan Xia (USTC):

Kaiming He (Mirosoft Research Asia): http://research.microsoft.com/en-us/um/people/kahe/

Fang Wen (Mirosoft Research Asia):

Jian Sun (Mirosoft Research Asia): http://research.microsoft.com/en-us/groups/vc/

【Machine learning】Latent Task Adaptation with Large-scale Hierarchies

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

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

【Machine learning】Improving Graph Matching via Density Maximization

Chao Wang (University of Wollongong ):

Lei Wang (University of Wollongong):

【Machine learning】Learning Coupled Feature Spaces for Cross-modal Matching

Kaiye Wang (NLPR):

Ran He (NLPR:


Wei Wang (NLPR):

Liang Wang (unknown):

Tieniu Tan (NLPR: http://lab.datatang.com/1984DA173065/Default.aspx


【Machine learning】A General Two-step Approach to Learning-Based Hashing

PDF: http://arxiv.org/pdf/1309.1853v1

Guosheng Lin (The University of Adelaide):

Chunhua Shen (The University of Adelaide):

Anton Van den Hengel (University of Adelaide):

David Suter:

【Machine learning】Unsupervised Domain Adaptation by Domain Invariant Projection

Mahsa Baktashmotlagh (University of Queensland):

Mehrtash Harandi (NICTA):

Brian Lovell: http://researchers.uq.edu.au/researcher/327

Mathieu Salzmann (NICTA):

【Machine learning】Look Into Sparse Representation-based Classification: A Margin-based Perspective

Zhaowen Wang (UIUC):

Jianchao Yang (Adobe Systems Inc.): http://www.ifp.illinois.edu/~jyang29/

Nasser Nasrabadi (US Army Research Lab):

Thomas Huang (University of Illinois at Urbana-Champaign):

【Machine learning】AFramework for Shape Analysis via Hilbert Space Embedding

PDF: http://users.cecs.anu.edu.au/~sjayasumana/files/iccv2013_shape_analysis.pdf

Sadeep Jayasumana (Australia National University):

Mathieu Salzmann (NICTA):

Hongdong Li (Australia National University):

Mehrtash Harandi (NICTA):

【Machine learning】Fast Neighborhood Graph Search using Cartesian Concatenation

Jing Wang (Peking University):

Jingdong Wang (Microsoft Research Asia):

Gang Zeng(Peking University):

Shipeng Li:

【Machine learning】Visual Reranking through Weakly Supervised Multi-Graph Learning

Cheng Deng (Xidian University):

Rongrong Ji (Columbia University):

Wei Liu (Columbia University):

Dacheng Tao (University of Technology:


xinbo Gao:

【Machine learning】Domain Adaptive Classification

Fatemeh Mirrashed (University of Maryland):

Mohammad Rastegari (University of Maryland):

【Machine learning】Learningto Rank Using Privileged Information

PDF: http://pub.ist.ac.at/~vsharman/ShaQuaLam_ICCV13.pdf

Viktoriia Sharmanska (IST Austria):

Novi Quadrianto (Universityof Cambridge):

Christoph H.Lampert (ISTAustria):

【Machine learning】Supervise Binary Hash Code Learning With Jensen Shannon Divergence

PDF: http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Fan_Supervised_Binary_Hash_2013_ICCV_paper.pdf

Lixin Fan:

Nokia Research Center:

【Machine learning】Geometric Registration Based on Distortion Estimation

Wei Zeng (Florida International Univ.):

Mayank Goswami (Stony Brook University):

Feng Luo (Rutgers University):

xianfeng Gu (Stony Brook University):

【Machine learning】Efficient Higher-Order Clustering on the Grassmann Manifold

Suraj Jain (Indian Institute of Science):

Venu Madhav Govindu (Indian Institute of Science):

【Machine learning】Automatic Kronecker Product Model Based Detection of Repeated Patterns in 2D Urban Images

Juan Liu (Graduate Center City University of New York):

Emmanouil Psarakis(University of Patras):

Ioannis Stamos (CUNY):

【Machine learning】Group Norm for Learning Structured SVMs with Unstructured Latent Variables

Daozheng Chen (UMD):

Dhruv Batra (Virginia Tech):

Bill Freeman (MIT:


【Machine learning】Curvature-aware Regularization on Riemannian Submanifolds

PDF: http://www.mpi-inf.mpg.de/~kkim/caregl/CARegl.pdf

Kwang In Kim (MPI Informatik):

James Tompkin (MPI Informatik):

Christian Theobalt(MPI fuer Informatik):

【Machine learning】Learning Graph Matching for Category Modeling from Large Scenes

Quanshi Zhang (University of Tokyo):

Xuan Song (University of Tokyo):

Xiaowei Shao(University of Tokyo):

Ryosuke Shibasaki (University of Tokyo):

Huijing Zhao(Peking University):

【Machine learning】Bayesian Robust Matrix Factorization for Image and Video Processing

PDF: http://winsty.net/papers/brmf.pdf

project: http://winsty.net/brmf.html

code: http://winsty.net/brmf/code.zip

Naiyan Wang (HKUST):

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

【Machine learning】Transfer Feature Learning with Joint Distribution Adaptation

PDF: http://learn.tsinghua.edu.cn:8080/2011310560/publications/joint-iccv14.pdf

code: http://learn.tsinghua.edu.cn:8080/2011310560/publications/joint-iccv14.zip

Mingsheng Long (Tsinghua University):

Jianmin Wang (Tsinghua University):

Guiguang Ding(Tsinghua University):

Jiaguang Sun (Tsinghua University):

Philip Yu(University of Illinois at Chicago):

【Machine learning】Dynamic Structured Model Selection

David Weiss (University of Pennsylvania):

Benjamin Sapp (Google):

Ben Taskar(University of Washington):

【Machine learning】Structuredlearning of sum-of-submodular higher order energy functions

PDF: http://arxiv-web3.library.cornell.edu/pdf/1309.7512v2.pdf

Alex Fix (Cornel):

Thorsten Joachims (Cornell):

Sam Park (Cornell):

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

【Machine learning】What Is the Most Efficient Way to Select Nearest Neighbor Candidates for Fast Approximate Nearest Neighbor Search?

Masakazu Iwamura (Osaka Prefecture University):

Tomokazu Sato (Osaka Prefecture University):

Koichi Kise (Osaka Prefecture University):

【Machine learning】Robust Matrix Factorization with Unknown Noise

Deyu Meng (Xi’an Jiaotong University):

Fernando de la Torre (Carnegie Mellon University ):

【Machine learning】Recursive Estimation of the Stein Center of SPD Matrices and its Applications

Hesamoddin Salehian (University of Florida):

Guang Cheng:

Baba Vemuri (University of Florida:


Jeffrey Ho (University of Florida):

【Machine learning】Joint Learning of Discriminative Prototypes and Large Margin Nearest Neighbor Classifiers

PDF: http://lrs.icg.tugraz.at/pubs/koestinger_iccv_13.pdf

Martin Koestinger (Graz University of Technology):

Paul Wohlhart (Graz University of Technology):

Peter Roth (Graz University of Technology):

Horst Bischof (Graz University of Technology): http://www.icg.tugraz.at/Members/bischof

【Machine learning】Frustratingly Easy NBNN Domain Adaptation

Tatiana Tommasi (IDIAP Martigny ):

Barbara Caputo:

【Machine learning】Manipulation Pattern Discovery: A Nonparametric Bayesian Approach

Bingbing NI (Advanced Digital Sciences Center (ADSC):


Pierre Moulin (UIUC):

【Machine learning】Flattening Supervoxel Hierarchies by the Uniform Entropy Slice

PDF: http://bit.ly/1am7zmy

Chenliang Xu (SUNY at Buffalo):

Spencer Whitt (SUNY at Buffalo):

Jason J. Corso (SUNYat Buffalo):

【Deep learning】Hybrid Deep Learning for Computing Face Similarities

Yi Sun (CUHK):

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


【Deep learning】Multi-Stage Contextual Deep Learning for Pedestrian Detectio

PDF: http://www.ee.cuhk.edu.hk/~xgwang/papers/zengOWiccv13.pdf

Xingyu ZENG (The Chinese University of HK):

Wanli Ouyang (The Chinese University of HK): http://www.ee.cuhk.edu.hk/~wlouyang/

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


【Deep learning】Affine Constraint Group Sparse Coding

Yu-Tseh Chi (University of Florida):

Mohsen Ali:

Muhammad Rushdi:

Jeffrey Ho(University of Florida):

【Deep learning】Unifying Nuclear Norm and Bilinear Factorization Approaches for Low-rank Matrix Decomposition

Ricardo Cabral (Carnegie Mellon University):

Fernando de la Torre (Carnegie Mellon University):

Joao Costeira (Instituto de Sistemas e Robotica):

Alexandre Bernardino(Instituto de Sistemas e Robotica):

【Deep learning】A Generalized Iterated Shrinkage Algorithm for Non-convex Sparse Coding

Wangmeng Zuo (Harbin Institute of Technology):

Deyu Meng (Xi’an Jiaotong University):

Lei Zhang (The Hong Kong Polytechnic University):

Xiangchu Feng (School of Science:

Xidian University):

David Zhang (The Hong Kong Polytechnic University): http://www4.comp.polyu.edu.hk/~csdzhang/

【Deep learning】Multi-Attributed Dictionary Learning for Sparse Coding

Chen-Kuo Chiang (National Tsing Hua University):

Te-Feng Su:

Yen Chih:

Shang-Hong Lai(NTHU):

【Deep learning】Log-Euclidean Kernels for Sparse Representation and Dictionary Learning

Peihua Li (Dalian University of Technolog):

Qilong Wang:

Wangmeng Zuo (Harbin Institute of Technology):

Lei Zhang (The Hong Kong Polytechnic University):

【Deep learning】Semi-Supervised Robust Dictionary Learning via Efficient L2,0+-Norms Minimization

Hua Wang (Colorado School of Mines):

Feiping Nie (University of Texas at Arlington):

Heng Huang (UTA):

【Deep learning】Joint Deep Learning for Pedestrian Detection

PDF: http://www.ee.cuhk.edu.hk/~xgwang/papers/ouyangWiccv13.pdf

project: http://www.ee.cuhk.edu.hk/~wlouyang/projects/ouyangWiccv13Joint/index.html

Wanli Ouyang (The Chinese University of HK): http://www.ee.cuhk.edu.hk/~wlouyang/

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


【Deep learning】Pedestrian Parsing via Deep Decompositional Network

Ping Luo:


【Deep learning】Robust Dictionary Learning by Error Source Decomposition

Zhuoyuan Chen (Northwestern University):

Ying Wu (Northwestern University):