Sukthankar, Rahul

67 publications

ICCVW 2023 Self-Supervised Hypergraphs for Learning Multiple World Interpretations Alina Marcu, Mihai Cristian Pîrvu, Dragos Costea, Emanuela Haller, Emil Slusanschi, Nabil Belbachir, Rahul Sukthankar, Marius Leordeanu

ICLR 2022 Discrete Representations Strengthen Vision Transformer Robustness Chengzhi Mao, Lu Jiang, Mostafa Dehghani, Carl Vondrick, Rahul Sukthankar, Irfan Essa

CVPRW 2021 Depth Distillation: Unsupervised Metric Depth Estimation for UAVs by Finding Consensus Between Kinematics, Optical Flow and Deep Learning Mihai Cristian Pîrvu, Victor Robu, Vlad Licaret, Dragos Costea, Alina Marcu, Emil Slusanschi, Rahul Sukthankar, Marius Leordeanu

CVPR 2021 Neural Descent for Visual 3D Human Pose and Shape Andrei Zanfir, Eduard Gabriel Bazavan, Mihai Zanfir, William T. Freeman, Rahul Sukthankar, Cristian Sminchisescu

AAAI 2021 Semi-Supervised Learning for Multi-Task Scene Understanding by Neural Graph Consensus Marius Leordeanu, Mihai Cristian Pîrvu, Dragos Costea, Alina Elena Marcu, Emil Slusanschi, Rahul Sukthankar

ICCV 2021 THUNDR: Transformer-Based 3D Human Reconstruction with Markers Mihai Zanfir, Andrei Zanfir, Eduard Gabriel Bazavan, William T. Freeman, Rahul Sukthankar, Cristian Sminchisescu

WACV 2020 D3D: Distilled 3D Networks for Video Action Recognition Jonathan Stroud, David Ross, Chen Sun, Jia Deng, Rahul Sukthankar

ECCV 2020 Weakly Supervised 3D Human Pose and Shape Reconstruction with Normalizing Flows Andrei Zanfir, Eduard Gabriel Bazavan, Hongyi Xu, William T. Freeman, Rahul Sukthankar, Cristian Sminchisescu

ECCV 2018 Actor-Centric Relation Network Chen Sun, Abhinav Shrivastava, Carl Vondrick, Kevin Murphy, Rahul Sukthankar, Cordelia Schmid

ECCVW 2018 The 2nd YouTube-8m Large-Scale Video Understanding Challenge Joonseok Lee, Apostol Natsev, Walter Reade, Rahul Sukthankar, George Toderici

CVPR 2017 Cognitive Mapping and Planning for Visual Navigation Saurabh Gupta, James Davidson, Sergey Levine, Rahul Sukthankar, Jitendra Malik

ICML 2017 Robust Adversarial Reinforcement Learning Lerrel Pinto, James Davidson, Rahul Sukthankar, Abhinav Gupta

CVPR 2016 Discovering the Physical Parts of an Articulated Object Class from Multiple Videos Luca Del Pero, Susanna Ricco, Rahul Sukthankar, Vittorio Ferrari

AAAI 2016 Labeling the Features Not the Samples: Efficient Video Classification with Minimal Supervision Marius Leordeanu, Alexandra Radu, Shumeet Baluja, Rahul Sukthankar

ICLR 2016 Variable Rate Image Compression with Recurrent Neural Networks George Toderici, Sean M. O'Malley, Sung Jin Hwang, Damien Vincent, David Minnen, Shumeet Baluja, Michele Covell, Rahul Sukthankar

CVPR 2015 Articulated Motion Discovery Using Pairs of Trajectories Luca Del Pero, Susanna Ricco, Rahul Sukthankar, Vittorio Ferrari

CVPR 2015 MatchNet: Unifying Feature and Metric Learning for Patch-Based Matching Xufeng Han, Thomas Leung, Yangqing Jia, Rahul Sukthankar, Alexander C. Berg

ICCVW 2015 Preface to 3D Reconstruction and Understanding with Video and Sound Dinesh Manocha, Marc Pollefeys, Rif Saurous, Rahul Sukthankar, Ruigang Yang

CVPR 2015 Robust Video Segment Proposals with Painless Occlusion Handling Zhengyang Wu, Fuxin Li, Rahul Sukthankar, James M. Rehg

ECCV 2014 DaMN - Discriminative and Mutually Nearest: Exploiting Pairwise Category Proximity for Video Action Recognition Rui Hou, Amir Roshan Zamir, Rahul Sukthankar, Mubarak Shah

CVPR 2014 Large-Scale Video Classification with Convolutional Neural Networks Andrej Karpathy, George Toderici, Sanketh Shetty, Thomas Leung, Rahul Sukthankar, Li Fei-Fei

CVPR 2014 Recognition of Complex Events: Exploiting Temporal Dynamics Between Underlying Concepts Subhabrata Bhattacharya, Mahdi M. Kalayeh, Rahul Sukthankar, Mubarak Shah

ECCV 2014 Video Object Discovery and Co-Segmentation with Extremely Weak Supervision Le Wang, Gang Hua, Rahul Sukthankar, Jianru Xue, Nanning Zheng

CVPR 2013 Discriminative Segment Annotation in Weakly Labeled Video Kevin Tang, Rahul Sukthankar, Jay Yagnik, Li Fei-Fei

CVPR 2013 Spatiotemporal Deformable Part Models for Action Detection Yicong Tian, Rahul Sukthankar, Mubarak Shah

WACV 2012 Classification of Plant Structures from Uncalibrated Image Sequences Debadeepta Dey, Lily B. Mummert, Rahul Sukthankar

ECCV 2012 Classifier Ensemble Recommendation Pyry Matikainen, Rahul Sukthankar, Martial Hebert

ECCVW 2012 Classifier Ensemble Recommendation Pyry Matikainen, Rahul Sukthankar, Martial Hebert

CVPR 2012 D-Nets: Beyond Patch-Based Image Descriptors Felix von Hundelshausen, Rahul Sukthankar

ECCV 2012 Efficient Closed-Form Solution to Generalized Boundary Detection Marius Leordeanu, Rahul Sukthankar, Cristian Sminchisescu

CVPR 2012 Model Recommendation for Action Recognition Pyry Matikainen, Rahul Sukthankar, Martial Hebert

ECCV 2012 Weakly Supervised Learning of Object Segmentations from Web-Scale Video Glenn Hartmann, Matthias Grundmann, Judy Hoffman, David Tsai, Vivek Kwatra, Omid Madani, Sudheendra Vijayanarasimhan, Irfan A. Essa, James M. Rehg, Rahul Sukthankar

ECCVW 2012 Weakly Supervised Learning of Object Segmentations from Web-Scale Video Glenn Hartmann, Matthias Grundmann, Judy Hoffman, David Tsai, Vivek Kwatra, Omid Madani, Sudheendra Vijayanarasimhan, Irfan A. Essa, James M. Rehg, Rahul Sukthankar

CVPR 2011 A Probabilistic Representation for Efficient Large Scale Visual Recognition Tasks Subhabrata Bhattacharya, Rahul Sukthankar, Rong Jin, Mubarak Shah

ICCV 2011 Feature Seeding for Action Recognition Pyry Matikainen, Rahul Sukthankar, Martial Hebert

CVPRW 2011 Localizing Actions Through Sequential 2D Video Projections Hakan Boyraz, Marshall F. Tappen, Rahul Sukthankar

CVPR 2010 Food Recognition Using Statistics of Pairwise Local Features Shulin Yang, Mei Chen, Dean Pomerleau, Rahul Sukthankar

CVPR 2010 Optimizing One-Shot Recognition with Micro-Set Learning Kevin D. Tang, Marshall F. Tappen, Rahul Sukthankar, Christoph H. Lampert

ECCV 2010 Representing Pairwise Spatial and Temporal Relations for Action Recognition Pyry Matikainen, Martial Hebert, Rahul Sukthankar

NeurIPS 2009 An Integer Projected Fixed Point Method for Graph Matching and MAP Inference Marius Leordeanu, Martial Hebert, Rahul Sukthankar

ICCVW 2009 Trajectons: Action Recognition Through the Motion Analysis of Tracked Features Pyry Matikainen, Martial Hebert, Rahul Sukthankar

CVPR 2008 Learning Class-Specific Affinities for Image Labelling Dhruv Batra, Rahul Sukthankar, Tsuhan Chen

NeurIPS 2008 Semi-Supervised Learning with Weakly-Related Unlabeled Data : Towards Better Text Categorization Liu Yang, Rong Jin, Rahul Sukthankar

CVPR 2008 Unifying Discriminative Visual Codebook Generation with Classifier Training for Object Category Recognition Liu Yang, Rong Jin, Rahul Sukthankar, Frédéric Jurie

UAI 2007 Bayesian Active Distance Metric Learning Liu Yang, Rong Jin, Rahul Sukthankar

CVPR 2007 Beyond Local Appearance: Category Recognition from Pairwise Interactions of Simple Features Marius Leordeanu, Martial Hebert, Rahul Sukthankar

CVPR 2007 Discriminative Cluster Refinement: Improving Object Category Recognition Given Limited Training Data Liu Yang, Rong Jin, Caroline Pantofaru, Rahul Sukthankar

ICCV 2007 Event Detection in Crowded Videos Yan Ke, Rahul Sukthankar, Martial Hebert

CVPR 2007 Spatio-Temporal Shape and Flow Correlation for Action Recognition Yan Ke, Rahul Sukthankar, Martial Hebert

AAAI 2006 An Efficient Algorithm for Local Distance Metric Learning Liu Yang, Rong Jin, Rahul Sukthankar, Yi Liu

CVPR 2006 Correlated Label Propagation with Application to Multi-Label Learning Feng Kang, Rong Jin, Rahul Sukthankar

NeurIPS 2006 Distributed Inference in Dynamical Systems Stanislav Funiak, Carlos Guestrin, Rahul Sukthankar, Mark A. Paskin

CVPRW 2006 Semantic Learning for Audio Applications: A Computer Vision Approach Rahul Sukthankar, Yan Ke, Derek Hoiem

CVPR 2005 Computer Vision for Music Identification Yan Ke, Derek Hoiem, Rahul Sukthankar

CVPR 2005 Computer Vision for Music Identification: Video Demonstration Yan Ke, Derek Hoiem, Rahul Sukthankar

ICCV 2005 Efficient Visual Event Detection Using Volumetric Features Yan Ke, Rahul Sukthankar, Martial Hebert

CVPR 2004 A Flexible Projector-Camera System for Multi-Planar Displays Mark Ashdown, Matthew Flagg, Rahul Sukthankar, James M. Rehg

CVPR 2004 Object-Based Image Retrieval Using the Statistical Structure of Images Derek Hoiem, Rahul Sukthankar, Henry Schneiderman, Larry Huston

CVPR 2004 PCA-SIFT: A More Distinctive Representation for Local Image Descriptors Yan Ke, Rahul Sukthankar

AAAI 2004 Visual Odometry Using Commodity Optical Flow Jason Campbell, Rahul Sukthankar, Illah R. Nourbakhsh

CVPR 2003 Shadow Elimination and Occluder Light Suppression for Multi-Projector Displays Tat-Jen Cham, James M. Rehg, Rahul Sukthankar, Gita Sukthankar

AAAI 2002 The OD Theory of TOD: The Use and Limits of Temporal Information for Object Discovery Brandon C. S. Sanders, Randal C. Nelson, Rahul Sukthankar

CVPR 2001 Dynamic Shadow Elimination for Multi-Projector Displays Rahul Sukthankar, Tat-Jen Cham, Gita Sukthankar

ICCV 2001 Self-Calibrating Camera Projector Systems for Interactive Displays and Presentations Rahul Sukthankar, Tat-Jen Cham, Gita Sukthankar, James M. Rehg, David Hsu, Thomas Leung

ICCV 2001 Smarter Presentations: Exploiting Homography in Camera-Projector Systems Rahul Sukthankar, Robert G. Stockton, Matthew D. Mullin

ICML 2000 Complete Cross-Validation for Nearest Neighbor Classifiers Matthew D. Mullin, Rahul Sukthankar

AAAI 1999 ARGUS: An Automated Multi-Agent Visitor Identification System Rahul Sukthankar, Robert G. Stockton