Keynote Speakers

University of Toronto, NVIDIA, Canada

Topic: TBA

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. 

University of California, USA

 Topic: TBA

Manmohan Chandraker is a full professor at the CSE department of the University of California, San Diego. He received a PhD from UCSD and was a postdoctoral scholar at UC Berkeley. His research interests are in computer vision, machine learning and graphics-based vision, with applications to autonomous driving, robotics and augmented reality. His works have been recognized with the Best Paper honorable mention at ECCV 2022, Google Research Awards in 2021, 2019 and 2018, the NSF CAREER Award in 2018, the Best Paper Award at CVPR 2014, an IEEE PAMI special issue on Best Papers from CVPR 2011, the 2009 CSE Dissertation Award for Best Thesis from UCSD and the Marr Prize honorable mention at ICCV 2007. He serves in senior program committees at CVPR, ICCV, ECCV, NeurIPS and AAAI.