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Fifteen-minute Competition Overview Video
Tianpei Yang · Iuliia Kotseruba · Montgomery Alban · Amir Rasouli · Soheil Mohamad Alizadeh Shabestary · Randolph Goebel · Matthew Taylor · Liam Paull · Florian Shkurti

Author Information

Tianpei Yang (University of Alberta)
Iuliia Kotseruba (York University)
Iuliia Kotseruba

I am a PhD student supervised by Prof. John K. Tsotsos and member of the Lab for Active and Attentive Vision at York University. I received my BSc degree in Artificial Intelligence from University of Toronto and MSc degree in Computer Science from York University. I study human visual attention with the goal of integrating attention and vision with other cognitive abilities in AI systems. My current research topics are understanding driver-pedestrian interaction and predicting driver attention for designing assistive and autonomous driving technology.

Montgomery Alban (Huawei)
Amir Rasouli (Huawei)

I have received my Ph.D. in computer science from York University, Canada. My research areas are computer vision and robotics, in particular, autonomous driving systems with a focus on pedestrian behavior understanding and prediction.

Soheil Mohamad Alizadeh Shabestary (Huawei Technologies Canada)
Randolph Goebel (University of Alberta, Alberta Machine Intelligence Institute)

R.G. (Randy) Goebel is currently professor and chair in the Department of Computing Science at the University of Alberta He received the B.Sc. (Computer Science), M.Sc. (Computing Science), and Ph.D. (Computer Science) from the Universities of Regina, Alberta, and British Columbia, respectively. Professor Goebel's research is focused on the theory and application of intelligent systems. His theoretical work on abduction, hypothetical reasoning and belief revision is internationally well know, and his recent application of practical belief revision and constraint programming to scheduling, layout, and web mining is now having industrial impact. He is one of the founders of the Alberta Ingenuity Centre for Machine Learning (AICML), and is now working on applications of machine learning to various problems, including web visualization and scheduling. Randy has previously held faculty appointments at the University of Waterloo and the University of Tokyo, and is actively involved in academic and industrial collaborative research projects in Canada, Australia, Malaysia, Europe and Japan.

Matthew Taylor (U. of Alberta)
Liam Paull (University of Montreal)
Florian Shkurti (University of Toronto)

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