Learning from Natural Human Interactions for Assistive Robots
PhD thesis · Cornell University · May 2016
Publications & talks
Publications and presentations on machine learning, computer vision, and robotics.
Publications
Brain4Cars: Car That Knows Before You Do via Sensory-Fusion Deep Learning Architecture
Ashesh Jain, Hema S Koppula, Shane Soh, Bharad Raghavan, Avi Singh, Ashutosh Saxena
2016 · arXiv [arXiv] [Code and Data set]
Learning Preferences for Manipulation Tasks from Online Coactive Feedback.
Ashesh Jain, Shikhar Sharma, Thorsten Joachims, Ashutosh Saxena
IJRR 2015 [PDF]
Structural-RNN: Deep Learning on Spatio-Temporal Graphs
Ashesh Jain, Amir R. Zamir, Silvio Savarese, Ashutosh Saxena
CVPR 2016 (Full ORAL) (Best Student Paper) [PDF] [arXiv] [supplementary] [Code] [Video]
Recurrent Neural Networks for Driver Activity Anticipation via Sensory-Fusion Architecture
Ashesh Jain, Avi Singh, Hema S Koppula, Shane Soh, Ashutosh Saxena
Car That Knows Before You Do: Anticipating Maneuvers via Learning Temporal Driving Models
Ashesh Jain, Hema S Koppula, Bharad Raghavan, Shane Soh, Ashutosh Saxena
ICCV 2015 [PDF] [Code and Data set] [arXiv]
Brain4Cars: Sensory-Fusion Recurrent Neural Models for Driver Activity Anticipation
Ashesh Jain, Shane Soh, Bharad Raghavan, Avi Singh, Hema S Koppula, Ashutosh Saxena
BayLearn Symposium 2015 [Extended abstract] (Full ORAL)
PlanIt: A Crowdsourcing Approach for Learning to Plan Paths from Large Scale Preference Feedback.
Ashesh Jain, Debarghya Das, Jayesh Gupta, Ashutosh Saxena
ICRA 2015 [PDF]
RoboBrain: Large-Scale Knowledge Engine for Robots
Ashutosh Saxena, Ashesh Jain, Ozan Sener, Aditya Jami, Dipendra K Misra, Hema S Koppula
ISRR 2015 [arXiv]
Anticipatory Planning for Human-Robot Teams.
Hema S Koppula, Ashesh Jain, Ashutosh Saxena
ISER 2014 [PDF]
Beyond Geometric Path Planning: Learning Context-Driven Trajectory Preferences via Sub-optimal Feedback.
Ashesh Jain, Shikhar Sharma, Ashutosh Saxena
ISRR 2013 [PDF]
Learning Trajectory Preferences for Manipulators via Iterative Improvement.
Ashesh Jain, Brian Wojcik, Thorsten Joachims, Ashutosh Saxena
NIPS 2013 [PDF]
SPG-GMKL: Generalized multiple kernel learning with a million kernels.
Ashesh Jain, S. V. N. Vishwanathan, Manik Varma
Talks & presentations
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@Scale Conference · October 2019
Unique Challenges and Opportunities for Self-Supervised Learning in Autonomous Driving - Invited talk at Oculus (Facebook), April 2016
- Keynote at the ICCV workshop on Autonomous driving. Title: Deep Learning for Spatio-Temporal Problems: On Cars, Humans, and Robots. Dec 2015
- Invited talk at Zoox Labs (autonomous driving startup), Dec 2015
- Talk at University of Washington Seattle Department of Computer Science, Nov 2015
- Invited talk at Qualcomm Deep Learning Research Center, Nov 2015
- Oral at BayLearn 2015 on Brain4Cars: Sensory-fusion Recurrent Neural Networks (Video)
- Invited Talk at RSS Workshop on Model Learning for Human-Robot Communication, July 2015
- Invited Talk at ICML Workshop on Machine Learning for Interactive Systems, July 2015
- Invited Talk at ICRA Tutorial on Planning, Control, and Sensing for Safe Human-Robot Interaction, May 2015
- Invited Talk at IIT Kanpur Department of Computer Science. RoboBrain and Learning from Weak Signals, Feb 2015
- Stanford Semantics and Geometry Seminar. RoboBrain and Learning from Weak Signals, Feb 2015
- Stanford Robotics Seminar. Learning from Weak Signals, Nov 2014
- Introductory talk at LPCHS workshop RSS 2014. Learning from Humans. (Slides)
- Cornell AI Seminar and ISRR 2013. Beyond Geometric Path Planning. (Slides)
- ICML Robot Learning workshop 2013. (Slides)
- Oral at SIGKDD 2012. (Video) (Slides)
- Invited spotlight at Mysore Park Workshop on Machine Learning 2012. (Video) (Slides)
- Lecture at Indo-German Winter Acadmey 2010. (Slides)