Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox

Picture for Dinesh Jayaraman

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 

  Access Paper or Ask Questions

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) 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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: https://sites.google.com/berkeley.edu/carl 

  Access Paper or Ask Questions

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: orybkin.github.io/video-gcp 

  Access Paper or Ask Questions

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) 

  Access Paper or Ask Questions

An Exploration of Embodied Visual Exploration


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

* 11 pages, 9 figures 

  Access Paper or Ask Questions

Morphology-Agnostic Visual Robotic Control


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


  Access Paper or Ask Questions

SMiRL: Surprise Minimizing RL in Dynamic Environments


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

* PrePrint 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

Causal Confusion in Imitation Learning


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

* 8 pages, plus references and appendices 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

Time-Agnostic Prediction: Predicting Predictable Video Frames


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

* 8 pages, plus appendices 

  Access Paper or Ask Questions

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: https://sites.google.com/view/more-than-a-feeling 

  Access Paper or Ask Questions

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


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


  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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: http://apps.cs.utexas.edu/tech_reports/reports/ai/AI-2214.pdf, ECCV 2016 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

Zero Shot Recognition with Unreliable Attributes


Mar 29, 2016
Dinesh Jayaraman, Kristen Grauman

* NIPS 2014 

  Access Paper or Ask Questions

Learning image representations tied to ego-motion


Mar 29, 2016
Dinesh Jayaraman, Kristen Grauman

* Supplementary material appended at end. In ICCV 2015 

  Access Paper or Ask Questions