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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 |
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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.
Hiring Information:
(Jan 2021) Internal positions available at all levels (UG, MS, PhD, PD, RA). CMU is currently under a hiring freeze for external hires but do contact me if you are looking for a position at the end of 2021. Please send complete emails with a short description of why you would be a good fit for the lab and please don't forget to attach your CV.
News
Mar. 2020 Three 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!
Research Projects
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Online Inverse Reinforcement Learning for First-Person Vision |
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Navigation for the Blind |
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First-person Vision Activity Recognition |
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Learning Actions Maps |
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Game Theoretic Multi-Agent Forecasting |
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Forecasting Wide Receiver Trajectories |
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Pedestrian Detection by Synthesis |
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Visual Grasp Analysis |
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EgoAction Analysis |
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BallCam! |
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Activity Forecasting |
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Forecasting Interactions |
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Hand Detection and Analysis |
Research Sponsors and Supporters
Shimizu Corporation
DENSO Corporation
Toyota Research Institute
Caterpillar Inc.
Facebook Reality Labs / FAIR
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)
Nvidia
Qualcomm
Amazon