Samsung AI Center - Toronto
The greater Toronto area is the epicenter of machine learning, and is one of the world’s foremost hubs for AI research and development. It is home not only to world-class talents but also to some of the most innovative start-ups in the field of artificial intelligence. SAIC Toronto will serve as a center of excellence for collaborative research in Canada.
As the second Samsung AI center to be established in North America, SAIC-Toronto is led by Dr. Sven Dickinson, an expert in computer vision technologies and former chair of the Department of Computer Science at the University of Toronto.
SAIC Toronto will support the development of cutting-edge AI technologies for existing Samsung products and services, as well as enable new businesses.
Sven Dickinson Head of Samsung AI Center - Toronto
- 2018 – presentVP and Head, Samsung AI Center Toronto
Faculty Affiliate, Vector Institute for Artificial Intelligence
- 2007 – presentProfessor, Department of Computer Science, University of Toronto
- 2010 - 2015Chair, Department of Computer Science, University of Toronto
- 2000 – 2007Associate Professor, Department of Computer Science,University of Toronto
- 1995 - 2001Assistant Professor, Department of Computer Science and Rutgers Center for Cognitive Science (RuCCS), Rutgers University
Computer vision (object recognition, shape perception, perceptual grouping, segmentation), human vision (perceptual organization, object and scene categorization)
- Local Contour Symmetry Facilitates Scene Categorization (Cognition, 2019)
- Shock Graphs and Shape Matching (International Journal of Computer Vision (IJCV), 1999)
of Samsung AI Center - Toronto
- 2018 – presentChief Scientist, Samsung AI Center Toronto
- 1982 – presentAssistant/Associate/Full Professor, University of Toronto
- 2004 – 2009Associate, Canadian Institute of Advanced Research (CIFAR)
- 1989 – 1995Scholar, Canadian Institute of Advanced Research (CIFAR)
Computer vision (image grouping, image segmentation, motion estimation)
- Fast rigid motion segmentation via incrementally-complex local models (CVPR, 2013)
- Robust online appearance models for visual tracking (IEEE PAMI 25 (10), 2003)
AI Center - Toronto
May 24, 2018