Deva Ramanan

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Pedro FelzenszwalbBrown UniversityDirección de correo verificada de brown.edu
David McAllesterProfessor, Toyota Technological Institute at ChicagoDirección de correo verificada de ttic.edu
Charless FowlkesDepartment of Computer Science, University of California, IrvineDirección de correo verificada de ics.uci.edu
Ross GirshickResearch Scientist, Facebook AI Research (FAIR)Dirección de correo verificada de eecs.berkeley.edu
David ForsythProfessor of Computer Science, University of Illinois, Urbana ChampaignDirección de correo verificada de uiuc.edu
James HaysGeorgia TechDirección de correo verificada de gatech.edu
Yi YangResearch Scientist, Google DeepMindDirección de correo verificada de uci.edu
C. Lawrence ZitnickFacebook AI ResearchDirección de correo verificada de fb.com
Piotr DollárFacebook AI ResearchDirección de correo verificada de fb.com
Hamed PirsiavashAssistant Professor at UMBCDirección de correo verificada de umbc.edu
Pietro PeronaCalifornia Institute of TechnologyDirección de correo verificada de caltech.edu
Tsung-Yi LinResearch Scientist, Google BrainDirección de correo verificada de google.com
Serge BelongieProfessor of Computer Science, Cornell University and Cornell TechDirección de correo verificada de cs.cornell.edu
Michael MaireUniversity of ChicagoDirección de correo verificada de uchicago.edu
James Steven Supancic IiiUniversity of California, IrvineDirección de correo verificada de uci.edu
Xiangxin ZhuApple Inc.Dirección de correo verificada de apple.com
Peiyun HuPhD Student, Robotics Institute, Carnegie Mellon UniversityDirección de correo verificada de cs.cmu.edu
Carl VondrickAssistant Professor, Columbia UniversityDirección de correo verificada de columbia.edu
Grégory RogezSenior Research Scientist, Naver Labs EuropeDirección de correo verificada de naverlabs.com
Rohit GirdharResearch Scientist, Facebook AI Research (FAIR)Dirección de correo verificada de fb.com

Deva Ramanan

Associate Professor, Robotics Institute, Carnegie Mellon University

Dirección de correo verificada de cs.cmu.edu - Página principal

Computer Vision Machine Learning


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Microsoft coco: Common objects in context TY Lin, M Maire, S Belongie, J Hays, P Perona, D Ramanan, P Dollár, ... European conference on computer vision, 740-755, 2014	13482	2014
Object detection with discriminatively trained part-based models PF Felzenszwalb, RB Girshick, D McAllester, D Ramanan IEEE transactions on pattern analysis and machine intelligence 32 (9), 1627-1645, 2009	10048	2009
A discriminatively trained, multiscale, deformable part model P Felzenszwalb, D McAllester, D Ramanan 2008 IEEE conference on computer vision and pattern recognition, 1-8, 2008	2864	2008
Face detection, pose estimation, and landmark localization in the wild X Zhu, D Ramanan 2012 IEEE conference on computer vision and pattern recognition, 2879-2886, 2012	2397	2012
Articulated Human Detection with Flexible Mixtures-of-Parts Y Yang, D Ramanan Pattern Analysis and Machine Intelligence, IEEE Transactions on 35 (12 …, 2013	1826*	2013
Globally-optimal greedy algorithms for tracking a variable number of objects H Pirsiavash, D Ramanan, CC Fowlkes CVPR 2011, 1201-1208, 2011	799	2011
Detecting activities of daily living in first-person camera views H Pirsiavash, D Ramanan 2012 IEEE conference on computer vision and pattern recognition, 2847-2854, 2012	655	2012
Efficiently scaling up crowdsourced video annotation C Vondrick, D Patterson, D Ramanan International journal of computer vision 101 (1), 184-204, 2013	609*	2013
Discriminative models for multi-class object layout C Desai, D Ramanan, CC Fowlkes International journal of computer vision 95 (1), 1-12, 2011	588	2011
A large-scale benchmark dataset for event recognition in surveillance video S Oh, A Hoogs, A Perera, N Cuntoor, CC Chen, JT Lee, S Mukherjee, ... CVPR 2011, 3153-3160, 2011	579	2011
Learning to parse images of articulated bodies D Ramanan Advances in Neural Information Processing Systems 19, 1129, 2007	529	2007
Finding tiny faces P Hu, D Ramanan Proceedings of the IEEE conference on computer vision and pattern …, 2017	527	2017
Tracking people by learning their appearance D Ramanan, DA Forsyth, A Zisserman IEEE transactions on pattern analysis and machine intelligence 29 (1), 65-81, 2006	484	2006
Strike a pose: Tracking people by finding stylized poses D Ramanan, DA Forsyth, A Zisserman 2005 IEEE Computer Society Conference on Computer Vision and Pattern …, 2005	407	2005
Finding and tracking people from the bottom up D Ramanan, DA Forsyth 2003 IEEE Computer Society Conference on Computer Vision and Pattern …, 2003	370	2003
Discriminative decorrelation for clustering and classification B Hariharan, J Malik, D Ramanan European Conference on Computer Vision, 459-472, 2012	309	2012
Actionvlad: Learning spatio-temporal aggregation for action classification R Girdhar, D Ramanan, A Gupta, J Sivic, B Russell Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017	297	2017
Self-paced learning for long-term tracking JS Supancic, D Ramanan Proceedings of the IEEE conference on computer vision and pattern …, 2013	288	2013
Multiresolution models for object detection D Park, D Ramanan, C Fowlkes European conference on computer vision, 241-254, 2010	280	2010
3d human pose estimation= 2d pose estimation+ matching CH Chen, D Ramanan Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017	278	2017

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