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David J. Fleet is a Professor at the University of Toronto and holds the CIFAR AI Chair. He is affiliated with the Vector Institute and the UofT Robotics Institute. David joined the University of Toronto in 2004 after working at Xerox PARC and Queen's University. Between 2012 and 2017, he served as Chair of the Department of Computer and Mathematical Sciences at the University of Toronto Scarborough. He has been involved in significant research with Google DeepMind and has served in leadership roles for IEEE Transactions on Pattern Analysis and Machine Intelligence, as well as program leadership for various vision and learning conferences. His research interests cover a wide range of topics, including computer vision, machine learning, image processing, and visual neuroscience, with a focus on mathematical foundations for algorithms in visual motion analysis and deep learning models for generative tasks. His contributions to the field are widely recognized, and he actively participates in the academic community as a scientific advisor and advisory board member.
University of Toronto • Toronto, Canada
Lead research and instruction in Computer Science with a focus on AI and computer vision.
Vector Institute • Toronto, Canada
Engage in AI research collaboration and industry innovation.
Department of Computer and Mathematical Sciences, University of Toronto Scarborough • Toronto, Canada
Managed departmental operations and academic programs.
Xerox PARC • Palo Alto, CA, USA
Conducted research in digital video analysis and document analysis.
Queen's University • Kingston, CA
Taught and researched in the Department of Computer Science.
Department of Sociology