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Deva Ramanan
Deva Ramanan
Professor, Robotics Institute, Carnegie Mellon University
Verified email at cs.cmu.edu - Homepage
Title
Cited by
Cited by
Year
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
319492014
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
120502009
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
35262008
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
28502012
Articulated Human Detection with Flexible Mixtures-of-Parts
Y Yang, D Ramanan
Pattern Analysis and Machine Intelligence, IEEE Transactions on 35 (12 …, 2013
2265*2013
Globally-optimal greedy algorithms for tracking a variable number of objects
H Pirsiavash, D Ramanan, CC Fowlkes
CVPR 2011, 1201-1208, 2011
9892011
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
8432012
Finding tiny faces
P Hu, D Ramanan
Proceedings of the IEEE conference on computer vision and pattern …, 2017
8162017
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
8052011
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
7482019
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
736*2013
Learning to parse images of articulated bodies
D Ramanan
Advances in Neural Information Processing Systems 19, 1129, 2007
652*2007
Discriminative models for multi-class object layout
C Desai, D Ramanan, CC Fowlkes
International journal of computer vision 95, 1-12, 2011
6422011
3d human pose estimation= 2d pose estimation+ matching
CH Chen, D Ramanan
Proceedings of the IEEE conference on computer vision and pattern …, 2017
5332017
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
5172006
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
4662017
Learning to model the tail
YX Wang, D Ramanan, M Hebert
Advances in neural information processing systems 30, 2017
4592017
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
4542005
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
4372015
Do we need more training data?
X Zhu, C Vondrick, CC Fowlkes, D Ramanan
International Journal of Computer Vision 119 (1), 76-92, 2016
415*2016
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