Program Overview

Main Conference

2021 January 6 - 8 (Wednesday - Friday)

Workshops and Tutorials

2021 January 5 and 9 (Tuesday & Saturday)

Keynote Speakers

Lihi Zelnik-Manor
Associate Professor, Faculty of Engineering, Technion and Head of Alibaba DAMO Academy Machine Intelligence Israel Lab
Wednesday, January 6th, 9:00 AM
Hao Li
CEO and Co-Founder of Pinscreen
Thursday, January 7th, 6:15 PM
Raquel Urtasun
Chief Scientist of Uber ATG, Head of Uber ATG Toronto and Professor in the Department of Computer Science, University of Toronto
Friday, January 8th, 9:15AM
Lihi Zelnik-Manor

Lihi Zelnik-Manor is an Associate Professor in the Faculty of Electrical Engineering at the Technion and the Head of Alibaba DAMO Academy Machine Intelligence Israel Lab. Prof. Zelnik-Manor holds a PhD and MSc (with honors) in Computer Science from the Weizmann Institute of Science and a BSc (summa cum laude) in Mechanical Engineering from the Technion. Her main area of expertise is Computer Vision. Prof Zelnik-Manor has done extensive community contribution, serving as Program Chair of CVPR’16, Associate Editor at TPAMI, served multiple times as Area Chair at CVPR, ECCV and was on the award committee of ACCV'18 and CVPR'19. Looking forward she will serve as General Chair of CVPR'21 and ECCV'22 and as Program Chair of ICCV'25.

Hao Li

Hao Li is CEO and Co-Founder of Pinscreen, a startup that builds cutting edge AI-driven virtual avatar technologies. Before that, he was an Associate Professor of Computer Science at the University of Southern California, as well as the director of the Vision and Graphics Lab at the USC Institute for Creative Technologies. Hao's work in Computer Graphics and Computer Vision focuses on digitizing humans and capturing their performances for immersive communication, telepresence in virtual worlds, and entertainment. His research involves the development of novel deep learning, data-driven, and geometry processing algorithms. He is known for his seminal work in avatar creation, facial animation, hair digitization, dynamic shape processing, as well as his recent efforts in preventing the spread of malicious deep fakes. He was previously a visiting professor at Weta Digital, a research lead at Industrial Light & Magic / Lucasfilm, and a postdoctoral fellow at Columbia and Princeton Universities. He was named top 35 innovator under 35 by MIT Technology Review in 2013 and was also awarded the Google Faculty Award, the Okawa Foundation Research Grant, as well as the Andrew and Erna Viterbi Early Career Chair. He won the Office of Naval Research (ONR) Young Investigator Award in 2018 and was named named to the DARPA ISAT Study Group in 2019. In 2020, he won the ACM SIGGRAPH Real-Time Live! “Best in Show” award. Hao obtained his PhD at ETH Zurich and his MSc at the University of Karlsruhe (TH).

Raquel Urtasun

Raquel Urtasun is the Chief Scientist of Uber ATG and the Head of Uber ATG Toronto. She is also a Professor in the Department of Computer Science at the University of Toronto, a Canada Research Chair in Machine Learning and Computer Vision and a co-founder of the Vector Institute for AI. Prior to this, she was an Assistant Professor at the Toyota Technological Institute at Chicago (TTIC), an academic computer science institute affiliated with the University of Chicago. She was also a visiting professor at ETH Zurich during the spring semester of 2010. She received her Ph.D. degree from the Computer Science department at Ecole Polytechnique Federal de Lausanne (EPFL) in 2006 and did her postdoc at MIT and UC Berkeley. She is a world leading expert in AI for self-driving cars. Her research interests include machine learning, computer vision, robotics and remote sensing. Her lab was selected as an NVIDIA NVAIL lab. She is a recipient of an NSERC EWR Steacie Award, an NVIDIA Pioneers of AI Award, a Ministry of Education and Innovation Early Researcher Award, three Google Faculty Research Awards, an Amazon Faculty Research Award, a Connaught New Researcher Award, a Fallona Family Research Award, an UPNA alumni award and two Best Paper Runner up Prize awarded at the Conference on Computer Vision and Pattern Recognition (CVPR) in 2013 and 2017 respectively. She was also named Chatelaine 2018 Woman of the year, and 2018 Toronto's top influencers by Adweek magazine.