Assistant Research Professor in the Computer Vision Group, Robotics Institute,
School of Computer Science.
Courtesy appointment in the Electrical and Computer Engineering (ECE) department.
Carnegie Mellon University
Cooperative Research Fellow in the Institute of Industrial Science at the
University of Tokyo
Research Interests: computer vision, human activity forecasting, first-person vision, inverse reinforcement learning, deep learning, assistive technologies for the blind
Assistant Research Professor at CMU (current)
Systems Scientist at CMU (2013-2016)
Postdoctoral Research Fellow at CMU with Martial Hebert and Drew Bagnell (2011-2013)
Jyokyo (Research Associate / Assistant Professor) at UEC Tokyo (2008-2011)
Visiting scholar at UCSD with Serge Belongie (2010)
University of Tokyo (MS 2005, PhD 2008)
Engineer at KLA-Tencor (2000-2003)
University of Southern California (BS, Electrical Engineering 2000)
Jul. 2017 Two papers accepted to ICCV 2017!
Apr. 2017 Paper on Multi-Agent Forecasting accepted to CVPR 2017!
Feb. 2017 Best Paper Honorable Mention at CHI 2017!
Dec. 2016 3 papers accepted to WACV, ICASSP and CHI 2017!
Nov. 2016 2 papers accepted to ACCV 2016!
Apr. 2016 Two papers accepted to RSS and Mobile HCI
Apr. 2016 Co-teaching RoboStats (16-831) with Michael Kaess, Teaching Computational Photography (15-463) Fall 2016!
Mar. 2016 Three papers on first-person vision accepted to CVPR 2016!
Mar. 2016 2 papers accepted to WACV 2016!
Mar. 2016 Organizing the 4th workshop on First-person Vision at CVPR 2016
Feb. 2016 Received a 2016 IBM Open Collaborative Faculty Award
Jan. 2016 Keynote Talk at CVIM Osaka Japan
Jan. 2016 Teaching undergraduate Computer Vision (Spring 2016) at CMU
Jul. 2015 Co-teaching Statistical Techniques in Robotics (Fall 2015) at CMU
Jul. 2015 Teaching Computational Photography (Fall 2015) at CMU
Mar. 2015 3 Papers accepted to CVPR 2015!
Feb. 2015 Paper on First-person Grasp Recognition accepted to ICRA 2015!
|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|