I am an Associate Professor at University of Toronto, affiliated faculty at the Vector Institute (and was one of the co-founding members) and VP of AI Research at NVIDIA, leading a research lab in Toronto. Prior coming to Toronto, in 2012/2013, I was a Research Assistant Professor at Toyota Technological Institute at Chicago, an academic institute located in the campus of University of Chicago. My work is in the area of Computer Vision and Machine Learning. My main research interests are in the intersection of computer vision and graphics, 3D vision, 3D reconstruction and synthesis; and interactive methods for image annotation. More information is in my CV.

I'm looking for motivated MSc/PhD and visiting students, as well as postdocs.

Tutorial:3D Indoor Scene Understanding, a half-day tutorial at CVPR'15, co-organized with Raquel Urtasun
Workshops:Role of Simulation in Computer Vision, Workshop at ICCV'17
The Joint Video and Language Understanding Workshop: MovieQA and The Large Scale Movie Description Challenge, Workshop at ICCV'17
Geometry Meets Deep Learning, Workshop at ICCV'17
Geometry Meets Deep Learning, Workshop at ECCV'16
RMRC Challenge, Workshop at ECCV'14
RMRC Challenge, Workshop at ICCV'13

Paper award:Best paper honorable mention at CVPR'17

Faculty award:Innovation Award (University of Toronto), 2021
Connaught Innovation Award, 2020
Early Researcher Award, 2019
Canada CIFAR AI Chair, 2018
Connaught New Researcher Award, 2018
Amazon Academic Research Award, 2017
NVIDIA Pioneer of AI Award, 2016
Facebook Faculty Award, 2016

Reviewing:Outstanding reviewer award at ECCV'08, ECCV'12, CVPR'12, CVPR'15

Teaching:Professor of the Year, 2014/2015, awarded by the UofT's Computer Science Student Union

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