Dinesh Jayaraman

Most-cited papers

DIGIT: A Novel Design for a Low-Cost Compact High-Resolution Tactile Sensor With Application to In-Hand Manipulation
Mike Lambeta, Po-wei Chou, Stephen Tian, Brian Yang +8 more
2020IEEE Robotics and Automation Letters819 citations Open access
Semantic Scholar
VIP: Towards Universal Visual Reward and Representation via Value-Implicit Pre-Training
Y. Ma, Shagun Sodhani, Dinesh Jayaraman, Osbert Bastani +2 more
2022International Conference on Learning Representations580 citations Open access
Semantic Scholar
Causal Confusion in Imitation Learning
Pim de Haan, Dinesh Jayaraman, S. Levine
2019Neural Information Processing Systems505 citations
Semantic Scholar
More Than a Feeling: Learning to Grasp and Regrasp Using Vision and Touch
R. Calandra, Andrew Owens, Dinesh Jayaraman, Justin Lin +4 more
2018IEEE Robotics and Automation Letters472 citations Open access
Semantic Scholar
Objective quality assessment of multiply distorted images
Dinesh Jayaraman, Anish Mittal, A. Moorthy, A. Bovik
2012Asilomar Conference on Signals, Systems and Computers338 citations
Semantic Scholar
Zero-shot recognition with unreliable attributes
Dinesh Jayaraman, K. Grauman
2014Neural Information Processing Systems308 citations
Semantic Scholar
LIV: Language-Image Representations and Rewards for Robotic Control
Y. Ma, William Liang, Vaidehi Som, Vikash Kumar +3 more
2023International Conference on Machine Learning303 citations Open access
Semantic Scholar
Learning Image Representations Tied to Ego-Motion
Dinesh Jayaraman, K. Grauman
2015IEEE International Conference on Computer Vision255 citations
Semantic Scholar
Probabilistic Modeling for Human Mesh Recovery
Nikos Kolotouros, G. Pavlakos, Dinesh Jayaraman, Kostas Daniilidis
2021IEEE International Conference on Computer Vision218 citations Open access
Semantic Scholar
Manipulation by Feel: Touch-Based Control with Deep Predictive Models
Stephen Tian, F. Ebert, Dinesh Jayaraman, Mayur Mudigonda +3 more
2019IEEE International Conference on Robotics and Automation172 citations Open access
Semantic Scholar
Slow and Steady Feature Analysis: Higher Order Temporal Coherence in Video
Dinesh Jayaraman, K. Grauman
2015Computer Vision and Pattern Recognition154 citations Open access
Semantic Scholar
Decorrelating Semantic Visual Attributes by Resisting the Urge to Share
Dinesh Jayaraman, F. Sha, K. Grauman
20142014 IEEE Conference on Computer Vision and Pattern Recognition148 citations
Semantic Scholar
Pano2Vid: Automatic Cinematography for Watching 360° Videos
Yu-Chuan Su, Dinesh Jayaraman, K. Grauman
2016Asian Conference on Computer Vision137 citations Open access
Semantic Scholar
Learning to Look Around: Intelligently Exploring Unseen Environments for Unknown Tasks
Dinesh Jayaraman, K. Grauman
20172018 IEEE/CVF Conference on Computer Vision and Pattern Recognition124 citations Open access
Semantic Scholar
Conservative Offline Distributional Reinforcement Learning
Yecheng Jason Ma, Dinesh Jayaraman, Osbert Bastani
2021Neural Information Processing Systems120 citations
Semantic Scholar
An Exploration of Embodied Visual Exploration
Santhosh K. Ramakrishnan, Dinesh Jayaraman, K. Grauman
2020International Journal of Computer Vision116 citations Open access
Semantic Scholar
Fighting Copycat Agents in Behavioral Cloning from Observation Histories
Chuan Wen, Jierui Lin, Trevor Darrell, Dinesh Jayaraman +1 more
2020Neural Information Processing Systems107 citations
Semantic Scholar
Look-Ahead Before You Leap: End-to-End Active Recognition by Forecasting the Effect of Motion
Dinesh Jayaraman, K. Grauman
2016European Conference on Computer Vision101 citations Open access
Semantic Scholar
Model-Based Inverse Reinforcement Learning from Visual Demonstrations
Neha Das, Sarah Bechtle, Todor Davchev, Dinesh Jayaraman +2 more
2020Conference on Robot Learning100 citations
Semantic Scholar
Time-Agnostic Prediction: Predicting Predictable Video Frames
Dinesh Jayaraman, F. Ebert, Alexei A. Efros, S. Levine
2018International Conference on Learning Representations97 citations
Semantic Scholar
Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors
Karl Pertsch, Oleh Rybkin, F. Ebert, Sheng-Hao Zhou +3 more
2020Neural Information Processing Systems96 citations
Semantic Scholar
How Far I'll Go: Offline Goal-Conditioned Reinforcement Learning via f-Advantage Regression
Y. Ma, Jason Yan, Dinesh Jayaraman, Osbert Bastani
2022Neural Information Processing Systems77 citations Open access
Semantic Scholar
Cautious Adaptation For Reinforcement Learning in Safety-Critical Settings
Jesse Zhang, Brian Cheung, Chelsea Finn, S. Levine +1 more
2020International Conference on Machine Learning67 citations
Semantic Scholar
Versatile Offline Imitation from Observations and Examples via Regularized State-Occupancy Matching
Y. Ma, Andrew Shen, Dinesh Jayaraman, Osbert Bastani
2022International Conference on Machine Learning62 citations
Semantic Scholar
End-to-End Policy Learning for Active Visual Categorization
Dinesh Jayaraman, K. Grauman
2019IEEE Transactions on Pattern Analysis and Machine Intelligence51 citations
Semantic Scholar
Emergence of exploratory look-around behaviors through active observation completion
Santhosh K. Ramakrishnan, Dinesh Jayaraman, K. Grauman
2019Science Robotics47 citations Open access
Semantic Scholar
SMiRL: Surprise Minimizing Reinforcement Learning in Unstable Environments
Glen Berseth, Daniel Geng, Coline Devin, Nicholas Rhinehart +3 more
2021International Conference on Learning Representations46 citations
Semantic Scholar
REPLAB: A Reproducible Low-Cost Arm Benchmark Platform for Robotic Learning
Brian Yang, Jesse Zhang, Vitchyr H. Pong, S. Levine +1 more
2019arXiv.org45 citations
Semantic Scholar
Likelihood-Based Diverse Sampling for Trajectory Forecasting
Y. Ma, J. Inala, Dinesh Jayaraman, Osbert Bastani
2020IEEE International Conference on Computer Vision40 citations
Semantic Scholar
Conservative and Adaptive Penalty for Model-Based Safe Reinforcement Learning
Y. Ma, Andrew Shen, Osbert Bastani, Dinesh Jayaraman
2021AAAI Conference on Artificial Intelligence39 citations Open access
Semantic Scholar
Object-Centric Representation Learning from Unlabeled Videos
Ruohan Gao, Dinesh Jayaraman, K. Grauman
2016Asian Conference on Computer Vision36 citations Open access
Semantic Scholar
Learning image representations equivariant to ego-motion
Dinesh Jayaraman, K. Grauman
2015arXiv.org36 citations
Semantic Scholar
Planning Goals for Exploration
E. Hu, Richard Chang, Oleh Rybkin, Dinesh Jayaraman
2023International Conference on Learning Representations35 citations Open access
Semantic Scholar
Keyframe-Focused Visual Imitation Learning
Chuan Wen, Jierui Lin, Jianing Qian, Yang Gao +1 more
2021International Conference on Machine Learning34 citations
Semantic Scholar
SMODICE: Versatile Offline Imitation Learning via State Occupancy Matching
Y. Ma, Andrew Shen, Dinesh Jayaraman, Osbert Bastani
2022arXiv.org30 citations
Semantic Scholar
Learning Image Representations Tied to Egomotion from Unlabeled Video
Dinesh Jayaraman, K. Grauman
2017International Journal of Computer Vision24 citations
Semantic Scholar
Fighting Fire with Fire: Avoiding DNN Shortcuts through Priming
Chuan Wen, Jianing Qian, Jierui Lin, Jia-Ye Teng +2 more
2022International Conference on Machine Learning23 citations Open access
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SMiRL: Surprise Minimizing RL in Dynamic Environments
Glen Berseth, Daniel Geng, Coline Devin, Chelsea Finn +2 more
2019arXiv.org22 citations
Semantic Scholar
REPLAB: A Reproducible Low-Cost Arm Benchmark for Robotic Learning
Brian Yang, Dinesh Jayaraman, Jesse Zhang, S. Levine
2019IEEE International Conference on Robotics and Automation16 citations
Semantic Scholar
ZeroFlow: Scalable Scene Flow via Distillation
Kyle Vedder, Neehar Peri, Nathaniel Chodosh, Ishan Khatri +5 more
2023International Conference on Learning Representations15 citations
Semantic Scholar
ShapeCodes: Self-supervised Feature Learning by Lifting Views to Viewgrids
Dinesh Jayaraman, Ruohan Gao, K. Grauman
2017European Conference on Computer Vision15 citations Open access
Semantic Scholar
Diverse Sampling for Normalizing Flow Based Trajectory Forecasting
Yecheng Jason Ma, J. Inala, Dinesh Jayaraman, Osbert Bastani
2020arXiv.org14 citations
Semantic Scholar
TOM: Learning Policy-Aware Models for Model-Based Reinforcement Learning via Transition Occupancy Matching
Y. Ma, K. Sivakumar, Jason Yan, Osbert Bastani +1 more
2023Conference on Learning for Dynamics & Control13 citations Open access
Semantic Scholar
Dynamic Grasping with a Learned Meta-Controller
Yin-Sen Jia, Jingxi Xu, Dinesh Jayaraman, Shu-Ran Song
20232024 IEEE 20th International Conference on Automation Science and Engineering (CASE)10 citations Open access
Semantic Scholar
How Are Learned Perception-Based Controllers Impacted by the Limits of Robust Control?
Jingxi Xu, Bruce D. Lee, N. Matni, Dinesh Jayaraman
2021Conference on Learning for Dynamics & Control10 citations
Semantic Scholar
Prospective Learning: Back to the Future
J. Vogelstein, Timothy D. Verstynen, K. Kording, Leyla Isik +59 more
2022arXiv.org8 citations
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Prospective Learning: Principled Extrapolation to the Future
Ashwin De Silva, Rahul Ramesh, Pallavi V. Kulkarni, M. Shuler +38 more
20227 citations
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SMiRL: Surprise Minimizing Reinforcement Learning in Dynamic Environments
Glen Berseth, Daniel Geng, Coline Devin, Nicholas Rhinehart +3 more
20197 citations
Semantic Scholar
Divide, Share, and Conquer: Multi-task Attribute Learning with Selective Sharing
Chao-Yeh Chen, Dinesh Jayaraman, F. Sha, K. Grauman
20177 citations
Semantic Scholar
Training Robots to Evaluate Robots: Example-Based Interactive Reward Functions for Policy Learning
Kun-Yen Huang, E. Hu, Dinesh Jayaraman
2022Conference on Robot Learning6 citations Open access
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