Lyft Level 5 · Head of Autonomy
I led on-vehicle perception and planning, including computer vision, prediction, motion planning, and infrastructure for deploying real-time deep learning models.
Ashesh Jain
Co-founder & CEO, Coram
I work on AI, computer vision, and robotics. Previously, I was Head of Autonomy at Lyft and worked at Zoox. I received my PhD in Computer Science from Cornell University.
San Francisco Bay Area
Coram
Coram is a physical AI company focused on physical security and operational intelligence.
Coram has raised $66 million from investors including 8VC and Battery Ventures.
The platform works with existing cameras and uses AI to search video, detect events, and support investigations.
coram.aiBackground
Zoox
I worked at Zoox before joining Lyft’s self-driving program.
Cornell University · PhD, Computer Science
My research focused on machine learning, computer vision, and robotics. As a visiting research scholar at the Stanford AI Lab, I started the Brain4Cars and RoboBrain projects.
IIT Delhi · Bachelor’s, Electrical Engineering
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
Learning from Natural Human Interactions for Assistive Robots
PhD thesis · Cornell University · May 2016