Associate Research Professor in the Robotics Institute,
School of Computer Science;
Courtesy Professor in the Electrical and Computer Engineering (ECE) department;
Director of the Master of Science Computer Vision (MSCV) Program
Carnegie Mellon University
Research Fellow in the Institute of Industrial Science at the
University of Tokyo
Research Areas: Computer Vision, Machine Learning, Autonomous Systems
The vision of our lab is to realize robust autonomous systems built for real-world perception and interactive decision-making. The key focus areas of our lab are perception, decision-making and interaction. Our focus is broad because we believe that innovating at the system-level requires expertise and integration at the component level.
We innovate across the full spectrum of perception including vision-based human pose estimation, action recognition, object detection/tracking/forecasting, 3D scene understanding. We develop computational models for reinforcement learning, inverse reinforcement learning, imitation learning, game-theoretic modeling and Neural Architecture Search. We build real-world systems to enable cyber-physical interaction including wearable camera systems, multi-modal sensors, portable navigational aides and assistive mobile robots.
(May 2020) CMU students: I will be hiring at all levels in the Fall. Please contact me during orientation week to setup a brief intervew.
(May 2020) Postdocs: Looking for researchers with experience in multi-agent forecasting, inverse reinforcement learning (structural parameter estimation) or simulated humanoid control.
Mar. 2020 3 Papers Accepted to CVPR 2020!
Feb. 2020 Paper on Multi-Agent Multi-group Imitation Learning Accepted to AAMAS 2020!
Jan. 2020 Paper on Diverse Trajectory Forecasting Accepted to ICCV 2019!
Dec. 2019 Two Papers Accepted to CHI 2020!
Aug. 2019 3 Papers Accepted to ICCV 2019!
Feb. 2019 Paper on Network Compression using BO accepted to ICLR 2019!
|Online Inverse Reinforcement Learning for First-Person Vision|
|Navigation for the Blind|
|First-person Vision Activity Recognition|
|Learning Actions Maps|
|Game Theoretic Multi-Agent Forecasting|
|Forecasting Wide Receiver Trajectories|
|Pedestrian Detection by Synthesis|
|Visual Grasp Analysis|
|Hand Detection and Analysis|
Facebook Reality Labs
Highmark / Allegheny General Hospital
National Science Foundation (NSF) - NRI
Japan Science and Tecnology Agency (JST) - CREST, AIP
Intelligence Advanced Research Projects Activity (IARPA) - DIVA
Mational Instite of Disability, Independent Living and Rehabilitation Research (NIDILRR)
Department of Homeland Security (DHS)