Systems

Training and Deploying Visual Agents at Scale
My Stanford Ph.D. thesis advised by Fei-Fei Li. Learn the rules like a pro, so you can break them like an artist — Picasso.
Training and Deploying Visual Agents at Scale
iGibson 1.0: A Simulation Environment for Interactive Tasks in Large Realistic Scenes
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021
iGibson 1.0: A Simulation Environment for Interactive Tasks in Large Realistic Scenes
RubiksNet: Learnable 3D-Shift for Efficient Video Action Recognition
European Conference on Computer Vision (ECCV), 2020
RubiksNet: Learnable 3D-Shift for Efficient Video Action Recognition
SURREAL-System: Fully-Integrated Stack for Distributed Deep Reinforcement Learning
Whitepaper for SURREAL Distributed RL Framework
SURREAL-System: Fully-Integrated Stack for Distributed Deep Reinforcement Learning
SURREAL: Open-Source Reinforcement Learning Framework and Robot Manipulation Benchmark
Conference on Robot Learning (CoRL), 2018
SURREAL: Open-Source Reinforcement Learning Framework and Robot Manipulation Benchmark