Vector Faculty Affiliate Kyros Kutulakos Wins Best Paper Award at CVPR 2019
Kyros Kutulakos, a Vector Faculty Affiliate and Professor of Computer Science at the University of Toronto, has been awarded the prestigious Best Paper Award at the Conference on Computer Vision and Pattern Recognition (CVPR) 2019. He received this top honor alongside his co-authors Shumian Xin, Sotiris Nousias, Aswin C. Sankaranarayanan, Srinivasa G. Narasimhan, and Ioannis Gkioulekas. The award recognizes their groundbreaking paper titled "A Theory of Fermat Paths for Non-Line-of-Sight Shape Reconstruction." This research introduces a novel theoretical framework that enables algorithms to infer the shape of objects hidden behind corners, effectively allowing systems to "see" around obstacles. This advancement represents a significant step forward in mitigating errors associated with non-line-of-sight reconstruction, a critical challenge in computer vision. CVPR, held in Long Beach, California, from June 16-20, 2019, is recognized as one of the world's largest and most influential conferences in the field of computer vision. The achievement highlights the ongoing contributions of the Vector Institute for Artificial Intelligence and its affiliates to cutting-edge developments in artificial intelligence and visual computing technologies.
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Vector Faculty Affiliate Kyros Kutulakos Wins Best Paper Award at CVPR 2019
Kyros Kutulakos, a Vector Faculty Affiliate and Professor of Computer Science at the University of Toronto, has been awarded the prestigious Best Paper Award at the Conference on Computer Vision and Pattern Recognition (CVPR) 2019. He received this top honor alongside his co-authors Shumian Xin, Sotiris Nousias, Aswin C. Sankaranarayanan, Srinivasa G. Narasimhan, and Ioannis Gkioulekas. The award recognizes their groundbreaking paper titled "A Theory of Fermat Paths for Non-Line-of-Sight Shape Reconstruction." This research introduces a novel theoretical framework that enables algorithms to infer the shape of objects hidden behind corners, effectively allowing systems to "see" around obstacles. This advancement represents a significant step forward in mitigating errors associated with non-line-of-sight reconstruction, a critical challenge in computer vision. CVPR, held in Long Beach, California, from June 16-20, 2019, is recognized as one of the world's largest and most influential conferences in the field of computer vision. The achievement highlights the ongoing contributions of the Vector Institute for Artificial Intelligence and its affiliates to cutting-edge developments in artificial intelligence and visual computing technologies.
Vector Institute for Artificial Intelligence