Deva Ramanan

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James HaysGeorgia TechVerified email at gatech.edu
Pietro PeronaCalifornia Institute of TechnologyVerified email at caltech.edu
Tsung-Yi LinResearch Scientist, NvidiaVerified email at nvidia.com
Serge BelongieProfessor of Computer Science, University of CopenhagenVerified email at di.ku.dk
Michael MaireUniversity of ChicagoVerified email at uchicago.edu
Piotr DollárFacebook AI ResearchVerified email at fb.com
C. Lawrence ZitnickFacebook AI ResearchVerified email at fb.com
Charless FowlkesDepartment of Computer Science, University of California, IrvineVerified email at ics.uci.edu
Ross GirshickResearch Scientist, Facebook AI Research (FAIR)Verified email at eecs.berkeley.edu
David McAllesterProfessor, Toyota Technological Institute at ChicagoVerified email at ttic.edu
Pedro FelzenszwalbBrown UniversityVerified email at brown.edu
David ForsythProfessor of Computer Science, University of Illinois, Urbana ChampaignVerified email at uiuc.edu
Yi YangResearch Scientist, Google DeepMindVerified email at uci.edu
Hamed PirsiavashAssociate Professor at University of California, DavisVerified email at ucdavis.edu
Peiyun HuPhD Student, Robotics Institute, Carnegie Mellon UniversityVerified email at cs.cmu.edu
James Steven Supancic IiiUniversity of California, IrvineVerified email at uci.edu
Carl VondrickAssistant Professor, Columbia UniversityVerified email at columbia.edu
Xiangxin ZhuApple Inc.Verified email at apple.com
Aayush BansalReality Labs Research, Meta Platforms IncVerified email at fb.com
Rohit GirdharResearch Scientist, Facebook AI Research (FAIR)Verified email at fb.com

Deva Ramanan

Professor, Robotics Institute, Carnegie Mellon University

Verified email at cs.cmu.edu - Homepage

Computer Vision Machine Learning


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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	25047	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, 2010	11598	2010
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	3359	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	2746	2012
Articulated Human Detection with Flexible Mixtures-of-Parts Y Yang, D Ramanan Pattern Analysis and Machine Intelligence, IEEE Transactions on 35 (12 …, 2013	2177*	2013
Globally-optimal greedy algorithms for tracking a variable number of objects H Pirsiavash, D Ramanan, CC Fowlkes CVPR 2011, 1201-1208, 2011	951	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	804	2012
Finding tiny faces P Hu, D Ramanan Proceedings of the IEEE conference on computer vision and pattern …, 2017	757	2017
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	751	2011
Efficiently scaling up crowdsourced video annotation C Vondrick, D Patterson, D Ramanan International journal of computer vision 101 (1), 184-204, 2013	700*	2013
Discriminative models for multi-class object layout C Desai, D Ramanan, CC Fowlkes International journal of computer vision 95 (1), 1-12, 2011	634	2011
Learning to parse images of articulated bodies D Ramanan Advances in Neural Information Processing Systems 19, 1129, 2007	578	2007
Argoverse: 3d tracking and forecasting with rich maps MF Chang, J Lambert, P Sangkloy, J Singh, S Bak, A Hartnett, D Wang, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019	529	2019
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	516	2006
3d human pose estimation= 2d pose estimation+ matching CH Chen, D Ramanan Proceedings of the IEEE conference on computer vision and pattern …, 2017	468	2017
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	450	2005
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	429	2017
Finding and tracking people from the bottom up D Ramanan, DA Forsyth 2003 IEEE Computer Society Conference on Computer Vision and Pattern …, 2003	388	2003
Look and think twice: Capturing top-down visual attention with feedback convolutional neural networks C Cao, X Liu, Y Yang, Y Yu, J Wang, Z Wang, Y Huang, L Wang, C Huang, ... Proceedings of the IEEE international conference on computer vision, 2956-2964, 2015	386	2015
Do we need more training data? X Zhu, C Vondrick, CC Fowlkes, D Ramanan International Journal of Computer Vision 119 (1), 76-92, 2016	367*	2016

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