Deva Ramanan

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Pietro PeronaCalifornia Institute of TechnologyVerified email at caltech.edu
Tsung-Yi LinResearch Scientist, Google BrainVerified email at google.com
Serge BelongieProfessor of Computer Science, University of CopenhagenVerified email at di.ku.dk
Michael MaireUniversity of ChicagoVerified email at uchicago.edu
Charless FowlkesDepartment of Computer Science, University of California, IrvineVerified email at ics.uci.edu
James HaysGeorgia TechVerified email at gatech.edu
David McAllesterProfessor, Toyota Technological Institute at ChicagoVerified email at ttic.edu
Piotr DollárFacebook AI ResearchVerified email at fb.com
Ross GirshickResearch Scientist, Facebook AI Research (FAIR)Verified email at eecs.berkeley.edu
Pedro FelzenszwalbBrown UniversityVerified email at brown.edu
David ForsythProfessor of Computer Science, University of Illinois, Urbana ChampaignVerified email at uiuc.edu
C. Lawrence ZitnickFacebook AI ResearchVerified email at fb.com
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 BansalRobotics Institute, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Rohit GirdharResearch Scientist, Facebook AI Research (FAIR)Verified email at fb.com

Deva Ramanan

Associate 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	21209	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	11259	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	3242	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	2706	2012
Articulated Human Detection with Flexible Mixtures-of-Parts Y Yang, D Ramanan Pattern Analysis and Machine Intelligence, IEEE Transactions on 35 (12 …, 2013	2107*	2013
Globally-optimal greedy algorithms for tracking a variable number of objects H Pirsiavash, D Ramanan, CC Fowlkes CVPR 2011, 1201-1208, 2011	919	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	775	2012
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	708	2011
Finding tiny faces P Hu, D Ramanan Proceedings of the IEEE conference on computer vision and pattern …, 2017	703	2017
Efficiently scaling up crowdsourced video annotation C Vondrick, D Patterson, D Ramanan International journal of computer vision 101 (1), 184-204, 2013	694*	2013
Discriminative models for multi-class object layout C Desai, D Ramanan, CC Fowlkes International journal of computer vision 95 (1), 1-12, 2011	632	2011
Learning to parse images of articulated bodies D Ramanan Advances in Neural Information Processing Systems 19, 1129, 2007	571	2007
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	515	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	450	2005
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	411	2019
3d human pose estimation= 2d pose estimation+ matching CH Chen, D Ramanan Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017	408	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	406	2017
Finding and tracking people from the bottom up D Ramanan, DA Forsyth 2003 IEEE Computer Society Conference on Computer Vision and Pattern …, 2003	389	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	355	2015
Discriminative decorrelation for clustering and classification B Hariharan, J Malik, D Ramanan European Conference on Computer Vision, 459-472, 2012	346	2012

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