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Publications
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Multi-scale recognition with DAG-CNNs
Songfan Yang, Deva Ramanan
IEEE International Conference on Computer Vision, 2015.
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Look and Think Twice: Capturing Top-Down Visual Attention with Feedback Convolutional Neural Networks
Chunshui Cao, Xianming Liu, Yi Yang, Yinan Yu, Jiang Wang, Zilei Wang, Yongzhen Huang, Liang Wang, Chang Huang, Wei Xu, Deva Ramanan, Thomas Huang
IEEE International Conference on Computer Vision, 2015.
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Articulated Pose Estimation With Tiny Synthetic Videos
Dennis Park, Deva Ramanan
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2015.
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Capturing long-tail distributions of object subcategories
Xiangxin Zhu, Dragomir Anguelov, Deva Ramanan
Computer Vision and Pattern Recognition (CVPR), 2014 IEEE Conference on, 2014, 915--922.
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Analysis by synthesis: 3d object recognition by object reconstruction
Mohsen Hejrati, Deva Ramanan
Computer Vision and Pattern Recognition (CVPR), 2014 IEEE Conference on, 2014, 2449--2456.
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Microsoft COCO: Common objects in context
Tsung-Yi Lin, Michael Maire, Serge Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, C Zitnick
Computer Vision--ECCV 2014, 2014, 740--755.
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Parsing videos of actions with segmental grammars
Hamed Pirsiavash, Deva Ramanan
Computer Vision and Pattern Recognition (CVPR), 2014 IEEE Conference on, 2014, 612--619.
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Self-paced learning for long-term tracking
James Supančič, Deva Ramanan
Computer Vision and Pattern Recognition (CVPR), 2013 IEEE Conference on, 2013, 2379--2386.
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Analyzing 3D Objects in Cluttered Images
Mohsen Hejrati, Deva Ramanan
Advances in Neural Information Processing Systems 25, 2012, 602--610.
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Recognizing proxemics in personal photos
Yi Yang, Simon Baker, Anitha Kannan, Deva Ramanan
CVPR, 2012, 3522-3529.
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Detecting Activities of Daily Living in First-person Camera Views
Hamed Pirsiavash, Deva Ramanan
Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on, 2012.
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Discriminative Decorrelation for Clustering and Classification
Bharath Hariharan, Jitendra Malik, Deva Ramanan
ECCV (4), 2012, 459-472.
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Steerable Part Models
Hamed Pirsiavash, Deva Ramanan
Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on, 2012.
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Face detection, pose estimation and landmark estimation in the wild
Xiangxin Zhu, Deva Ramanan
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2012.
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A Large-scale Benchmark Dataset for Event Recognition in Surveillance Video
Sangmin Oh, Anthony Hoogs, Amitha Perera, Naresh Cuntoor, C.-C. Chen, Jong Lee, Saurajit Mukherjee, J. Aggarwal, Hyungtae Lee, Larry Davis, Eran Swears, Xioyang Wang, Qiang Ji, Kishore Reddy, Mubarak Shah, Carl Vondrick, Hamed Pirsiavash, Deva Ramanan, Jenny Yuen, Antonio Torralba, Bi Song, Anesco Fong, Amit Roy-Chowdhury, Mita Desai
CVPR, 2011.
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Where's Waldo: Matching People in Images of Crowds
Rahul Garg, Deva Ramanan, Steve Seitz, Noah Snavely
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2011.
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Local Distance Functions: A Taxonomy, New Algorithms, and an Evaluation
Deva Ramanan, Simon Baker
IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2011.
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Efficiently Scaling Up Video Annotation with Crowdsourced Marketplaces
Carl Vondrick, Deva Ramanan, Donald Patterson
Proc. of the European Conference on Computer Vision, 2010.
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Robust Tracking of the Upper Limb for Functional Stroke Assessment
Sonya Allin, Nancy Baker, Emily Eckel, Deva Ramanan
IEEE Transactions on Neural Systems and Rehabilitation Engineering (NSRE), 2010.
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Discriminative models for static human-object interactions
Chaitanya Desai, Deva Ramanan, Charless Fowlkes
IEEE Conference on Computer Vision and Pattern Recognition, Workshop on Structured Prediction, 2010.
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Object Detection with Discriminatively Trained Part-Based Models
Pedro Felzenszwalb, Ross Girshick, David McAllester, Deva Ramanan
IEEE Pattern Analysis and Machine Intelligence (PAMI), 2009.
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Local Distance Functions: A Taxonomy, New Algorithms, and an Evaluation
Deva Ramanan, Simon Baker
International Conference on Computer Vision (ICCV), 2009.
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Increasing the density of active appearance models
Kannan Ramnath, Simon Baker, Ian Matthews, Deva Ramanan
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2008.
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A Discriminatively Trained, Multiscale, Deformable Part Model
Pedro Felzenszwalb, David McAllester, Deva Ramanan
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2008.
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Learning to parse images of articulated bodies
Deva Ramanan
Advances in Neural Information Processing Systems 19, 2007, 1129--1136.
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Assessment of Post Stroke Functioning Using Machine Vision
Sonya Allin, Deva Ramanan
IAPR Conference on Machine Vision Applications (MVA), 2007.
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Tracking People by Learning Their Appearance
Deva Ramanan, D.A. Forsyth, Andrew Zisserman
PAMI, 2007, 29, 1, 65-81.
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Building Models of Animals from Video
Deva Ramanan, D.A. Forsyth, Kobus Barnard
PAMI, 2006, 28, 8, 1319-1334.
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Training Deformable Models for Localization
Deva Ramanan, Cristian Sminchisescu
CVPR, 2006, I: 206-213.
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Strike a Pose: Tracking People by Finding Stylized Poses
Deva Ramanan, D.A. Forsyth, Andrew Zisserman
CVPR, 2005, I: 271-278.
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Computational studies of human motion: part 1, tracking and motion synthesis
David Forsyth, Okan Arikan, Leslie Ikemoto, James O'Brien, Deva Ramanan
Found. Trends. Comput. Graph. Vis., 2005, 1, 2-3, 77--254.
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Tracking People and Recognizing Their Activities
Deva Ramanan, D.A. Forsyth, Andrew Zisserman
CVPR, 2005, II: 1194.
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Automatic Annotation of Everyday Movements
Deva Ramanan, David Forsyth
Advances in Neural Information Processing Systems 16, 2004.
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