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Probabilistic Modeling for Human Mesh Recovery

Aug 26, 2021
Nikos Kolotouros, Georgios Pavlakos, Dinesh Jayaraman, Kostas Daniilidis

* ICCV 2021. Project page: 

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Know Thyself: Transferable Visuomotor Control Through Robot-Awareness

Jul 28, 2021
Edward S. Hu, Kun Huang, Oleh Rybkin, Dinesh Jayaraman

* Website: Updated typos 

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Conservative Offline Distributional Reinforcement Learning

Jul 12, 2021
Yecheng Jason Ma, Dinesh Jayaraman, Osbert Bastani

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Keyframe-Focused Visual Imitation Learning

Jun 11, 2021
Chuan Wen, Jierui Lin, Jianing Qian, Yang Gao, Dinesh Jayaraman

* 14 pages, 7 figures, ICML2021 

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How Are Learned Perception-Based Controllers Impacted by the Limits of Robust Control?

Apr 02, 2021
Jingxi Xu, Bruce Lee, Nikolai Matni, Dinesh Jayaraman

* Accepted to L4DC 2021 

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Diverse Sampling for Normalizing Flow Based Trajectory Forecasting

Nov 30, 2020
Yecheng Jason Ma, Jeevana Priya Inala, Dinesh Jayaraman, Osbert Bastani

* Technical report, 18 pages 

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Fighting Copycat Agents in Behavioral Cloning from Observation Histories

Oct 28, 2020
Chuan Wen, Jierui Lin, Trevor Darrell, Dinesh Jayaraman, Yang Gao

* Published at NeurIPS 2020 9 pages(exclude reference and appendices) 

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Model-Based Inverse Reinforcement Learning from Visual Demonstrations

Oct 18, 2020
Neha Das, Sarah Bechtle, Todor Davchev, Dinesh Jayaraman, Akshara Rai, Franziska Meier

* Accepted at the 4th Conference on Robotic Learning (CoRL 2020), Cambridge MA, USA 

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Cautious Adaptation For Reinforcement Learning in Safety-Critical Settings

Aug 15, 2020
Jesse Zhang, Brian Cheung, Chelsea Finn, Sergey Levine, Dinesh Jayaraman

* 15 pages, 8 figures, ICML 2020. Website with code: 

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Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors

Jun 23, 2020
Karl Pertsch, Oleh Rybkin, Frederik Ebert, Chelsea Finn, Dinesh Jayaraman, Sergey Levine

* Project page: 

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DIGIT: A Novel Design for a Low-Cost Compact High-Resolution Tactile Sensor with Application to In-Hand Manipulation

May 29, 2020
Mike Lambeta, Po-Wei Chou, Stephen Tian, Brian Yang, Benjamin Maloon, Victoria Rose Most, Dave Stroud, Raymond Santos, Ahmad Byagowi, Gregg Kammerer, Dinesh Jayaraman, Roberto Calandra

* 8 pages, published in the IEEE Robotics and Automation Letters (RA-L) 

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An Exploration of Embodied Visual Exploration

Jan 07, 2020
Santhosh K. Ramakrishnan, Dinesh Jayaraman, Kristen Grauman

* 11 pages, 9 figures 

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Morphology-Agnostic Visual Robotic Control

Dec 31, 2019
Brian Yang, Dinesh Jayaraman, Glen Berseth, Alexei Efros, Sergey Levine

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SMiRL: Surprise Minimizing RL in Dynamic Environments

Dec 11, 2019
Glen Berseth, Daniel Geng, Coline Devin, Chelsea Finn, Dinesh Jayaraman, Sergey Levine

* PrePrint 

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Emergence of Exploratory Look-Around Behaviors through Active Observation Completion

Jun 27, 2019
Santhosh K. Ramakrishnan, Dinesh Jayaraman, Kristen Grauman

* Main paper 7 figures, supplementary 6 figures. Published in Science Robotics 2019 

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Causal Confusion in Imitation Learning

May 28, 2019
Pim de Haan, Dinesh Jayaraman, Sergey Levine

* 8 pages, plus references and appendices 

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REPLAB: A Reproducible Low-Cost Arm Benchmark Platform for Robotic Learning

May 17, 2019
Brian Yang, Jesse Zhang, Vitchyr Pong, Sergey Levine, Dinesh Jayaraman

* Extended version of paper accepted to ICRA 2019 

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Manipulation by Feel: Touch-Based Control with Deep Predictive Models

Mar 11, 2019
Stephen Tian, Frederik Ebert, Dinesh Jayaraman, Mayur Mudigonda, Chelsea Finn, Roberto Calandra, Sergey Levine

* Accepted to ICRA 2019 

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Time-Agnostic Prediction: Predicting Predictable Video Frames

Oct 23, 2018
Dinesh Jayaraman, Frederik Ebert, Alexei A. Efros, Sergey Levine

* 8 pages, plus appendices 

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More Than a Feeling: Learning to Grasp and Regrasp using Vision and Touch

Jul 26, 2018
Roberto Calandra, Andrew Owens, Dinesh Jayaraman, Justin Lin, Wenzhen Yuan, Jitendra Malik, Edward H. Adelson, Sergey Levine

* 8 pages. Published on IEEE Robotics and Automation Letters (RAL). Website: 

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Pano2Vid: Automatic Cinematography for Watching 360$^{\circ}$ Videos

Dec 07, 2016
Yu-Chuan Su, Dinesh Jayaraman, Kristen Grauman

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Object-Centric Representation Learning from Unlabeled Videos

Dec 01, 2016
Ruohan Gao, Dinesh Jayaraman, Kristen Grauman

* In Proceedings of the Asian Conference on Computer Vision (ACCV), 2016 

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Look-ahead before you leap: end-to-end active recognition by forecasting the effect of motion

Aug 05, 2016
Dinesh Jayaraman, Kristen Grauman

* A preliminary version of the material in this document was filed as University of Texas technical report no. UT AI15-06, December, 2015, at:, ECCV 2016 

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Slow and steady feature analysis: higher order temporal coherence in video

Apr 14, 2016
Dinesh Jayaraman, Kristen Grauman

* in Computer Vision and Pattern Recognition (CVPR) 2016, Las Vegas, NV, June 2016 

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Zero Shot Recognition with Unreliable Attributes

Mar 29, 2016
Dinesh Jayaraman, Kristen Grauman

* NIPS 2014 

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Learning image representations tied to ego-motion

Mar 29, 2016
Dinesh Jayaraman, Kristen Grauman

* Supplementary material appended at end. In ICCV 2015 

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