Computational Vision at UC Irvine  

Cross-Domain Forensic Shoeprint Matching
Bailey Kong, James Supančič, Deva Ramanan, Charless Fowlkes
British Machine Vision Conference (BMVC), 2017.
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The Open World of Micro-Videos
Phuc Nguyen, Grégory Rogez, Charless Fowlkes, Deva Ramanan
BigVision Workshop, 2016.
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Understanding Everyday Hands in Action from RGB-D Images
Grégory Rogez, James Supančič, Deva Ramanan
IEEE International Conference on Computer Vision, 2015.
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First-Person Pose Recognition using Egocentric Workspaces
Grégory Rogez, James Supančič, Deva Ramanan
CVPR, 2015.
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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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Depth-based hand pose estimation: data, methods, and challenges
James Supančič, Grégory Rogez, Yi Yang, Jamie Shotton, 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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Do We Need More Training Data?
Xiangxin Zhu, Carl Vondrick, Charless Fowlkes, Deva Ramanan
International Journal of Computer Vision, 2015, 1--17.
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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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Parsing Occluded People
Golnaz Ghiasi, Yi Yang, Deva Ramanan, Charless Fowlkes
CVPR, 2014.
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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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3D Hand Pose Detection in Egocentric {RGB-D} Images
Grégory Rogez, James Supančič, Maryam Khademi, J.M.M. Montiel, Deva Ramanan
CoRR, 2014, abs/1412.0065.
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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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Efficiently Scaling up Crowdsourced Video Annotation - A Set of Best Practices for High Quality, Economical Video Labeling
Carl Vondrick, Donald Patterson, Deva Ramanan
International Journal of Computer Vision, 2013, 101, 1, 184-204.
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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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Articulated pose estimation with flexible mixtures-of-parts
Yi Yang, Deva Ramanan
IEEE TPAMI, 2013.
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Egovision4Health - Assessing Activities of Daily Living from a Wearable RGB-D Camera for In-Home Health Care Applications
Grégory Rogez, Deva Ramanan, J.M.M. Montiel
ERCIM News, 2013, 2013, 95, 18-19.
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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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Do we need more training data or better models for object detection?
Xiangxin Zhu, Carl Vondrick, Deva Ramanan, Charless Fowlkes
British Machine Vision Conference (BMVC), 2012.
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Detecting Actions, Poses, and Objects with Relational Phraselets
Chaitanya Desai, Deva Ramanan
ECCV (4), 2012, 158-172.
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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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Statistical Tests for Optimization Efficiency
Levi Boyles, Anoop Balan, Deva Ramanan, Max Welling
NIPS, 2011, 2196-2204.
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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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Articulated pose estimation with flexible mixtures-of-parts
Yi Yang, Deva Ramanan
CVPR, 2011.
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Discriminative models for multi-class object layout
Chaitanya Desai, Deva Ramanan, Charless Fowlkes
International Journal of Computer Vision, 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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Video Annotation and Tracking with Active Learning
Carl Vondrick, Deva Ramanan
NIPS, 2011, 28-36.
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N-best maximal decoders for part models
Dennis Park, Deva Ramanan
ICCV, 2011, 2627-2634.
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Layered Object Models for Image Segmentation
Yi Yang, Sam Hallman, Deva Ramanan, Charless Fowlkes
IEEE TPAMI, 2011.
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Globally-Optimal Greedy Algorithms for Tracking a Variable Number of Objects
Hamed Pirsiavash, Deva Ramanan, Charless Fowlkes
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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SEMARTCam Scheduler - Semantics Driven Real-Time Data Collection from Indoor Camera Networks to Maximize Event Detection
Ronen Vaisenberg, Sharad Mehrotra, Deva Ramanan
Journal of Real-Time Image Processing (JRTIP), 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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Multiresolution models for object detection
Dennis Park, Deva Ramanan, Charless Fowlkes
ECCV, 2010.
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Layered Object Detection for Multi-Class Segmentation
Yi Yang, Sam Hallman, Deva Ramanan, Charless Fowlkes
CVPR, 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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Exploiting Semantics for Scheduling Data Collection From Sensors in Real-Time to Maximimize Event Detection
Ronen Vaisenberg, Sharad Mehrotra, Deva Ramanan
Multimedia and Computer Networks (MMCN), 2009.
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Discriminative models for multi-class object layout
Chaitanya Desai, Deva Ramanan, Charless Fowlkes
IEEE International Conference on Computer Vision, 2009.
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Bilinear classifiers for visual recognition
Hamed Pirsiavash, Deva Ramanan, Charless Fowlkes
Neural Info. Proc. Systems (NIPS), 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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Leveraging Archival Video for Building Face Datasets
Deva Ramanan, Simon Baker, Sham Kakade
ICCV, 2007, 141.
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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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Using Segmentation to Verify Object Hypotheses
Deva Ramanan
CVPR, 2007, 1-8.
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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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Detecting, Localizing and Recovering Kinematics of Textured Animals
Deva Ramanan, D.A. Forsyth, Kobus Barnard
CVPR, 2005, II: 635-642.
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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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Finding and tracking people from the bottom up
Deva Ramanan, D.A. Forsyth
CVPR, 2003, II: 467-474.
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Using temporal coherence to build models of animals
Deva Ramanan, D.A. Forsyth
ICCV, 2003, 338-345.
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Nonlinear Image Interpolation Through Extended Permutation Filters
Deva Ramanan, Kenneth Barner
ICIP, 2000, Vol I: 912-915.
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