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
Michael MaireUniversity of ChicagoVerified email at uchicago.edu
Piotr DollárFAIRVerified email at fb.com
C. Lawrence ZitnickFacebook AI ResearchVerified email at fb.com
Ross GirshickResearch Scientist, Facebook AI Research (FAIR)Verified email at eecs.berkeley.edu
Charless FowlkesDepartment of Computer Science, University of California, IrvineVerified email at ics.uci.edu
David McAllesterProfessor, Toyota Technological Institute at ChicagoVerified email at ttic.edu
Pedro FelzenszwalbBrown UniversityVerified email at brown.edu
Yi YangResearch Scientist, Google DeepMindVerified email at uci.edu
David ForsythProfessor of Computer Science, University of Illinois, Urbana ChampaignVerified email at uiuc.edu
Hamed PirsiavashAssociate Professor at University of California, DavisVerified email at ucdavis.edu
Peiyun HuApple IncVerified email at apple.com
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, Fundamental AI Research (FAIR), MetaVerified email at fb.com
Achal DaveCarnegie Mellon UniversityVerified email at cs.cmu.edu

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, ... Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014	33396	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	12156	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	3582	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	2881	2012
Articulated Human Detection with Flexible Mixtures-of-Parts Y Yang, D Ramanan Pattern Analysis and Machine Intelligence, IEEE Transactions on 35 (12 …, 2013	2289*	2013
Globally-optimal greedy algorithms for tracking a variable number of objects H Pirsiavash, D Ramanan, CC Fowlkes CVPR 2011, 1201-1208, 2011	999	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	851	2012
Finding tiny faces P Hu, D Ramanan Proceedings of the IEEE conference on computer vision and pattern …, 2017	832	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	819	2011
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	792	2019
Efficiently scaling up crowdsourced video annotation: A set of best practices for high quality, economical video labeling C Vondrick, D Patterson, D Ramanan International journal of computer vision 101, 184-204, 2013	745*	2013
Learning to parse images of articulated bodies D Ramanan Advances in Neural Information Processing Systems 19, 1129, 2007	656*	2007
Discriminative models for multi-class object layout C Desai, D Ramanan, CC Fowlkes International journal of computer vision 95, 1-12, 2011	644	2011
3d human pose estimation= 2d pose estimation+ matching CH Chen, D Ramanan Proceedings of the IEEE conference on computer vision and pattern …, 2017	552	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	518	2006
Learning to model the tail YX Wang, D Ramanan, M Hebert Advances in neural information processing systems 30, 2017	479	2017
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	479	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	457	2005
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	442	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	422*	2016

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