Outstanding Young Computer Science Researcher Awards | 2017

Yasutaka Furukawa

Simon Fraser University

Yasutaka Furukawa

Yasutaka is an Assistant Professor at Simon Fraser University. His research covers a wide range of problems in 3D computer vision and he is considered an international authority in this field. His papers have been cited more than 6,000 times, h-index of 25. His work bridges from highly accurate algorithms for core computer vision problems through to fundamental important new directions for the field. Representative work includes his highly accurate multi-view stereo algorithm (CVPR 2007), which bridged into award winning work on reconstruction of outdoor scenes and museums (ECCV 2012, CVPR 2014, ICCV 2015, Communications of the ACM 2011). His work has resulted in successful patents and open source software. The software has been used in numerous academic and industrial settings, including visual effect companies (e.g., Industrial Light and Magic and Weta digital) for real film production, and Google for Google Maps products. He won the Best Student Paper Award at ECCV 2012, Google Research Excellent Paper Award in 2012, Best Paper Award at 3DV 2013, NSF CAREER Award in 2015, and Google Faculty Research Award in 2016. He is on the editorial board of the top journal in computer vision (IJCV), and area chair multiple times at the two top conferences in the field (CVPR and ICCV). Before joining Simon Fraser University, he was an Assistant Professor at Washington University St. Louis, was a software engineer at Google, and a research associate at the University of Washington. He earned his Ph.D. from the University of Illinois at Urbana-Champaign in 2008 and a Bachelor’s degree from the University of Tokyo in 2001.

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