| Yoichi Sato is a professor at Institute of Industrial Science, the University of Tokyo, jointly affiliated with the Graduate School of Interdisciplinary Information Studies and Graduate School of Information Science and Technology. He received the BSE degree from the University of Tokyo in 1990, and the MS and PhD degrees in robotics from the School of Computer Science, Carnegie Mellon University, Pittsburgh, Pennsylvania, in 1993 and 1997 respectively. His research interests include first-person vision, gaze sensing and analysis, physics-based vision and illumination and reflectance modeling. |
Kristen Grauman is a Professor in the Department of Computer Science at the University of Texas at Austin and a Research Scientist in Facebook AI Research (FAIR). Her research in computer vision and machine learning focuses on visual recognition and search. Before joining UT-Austin in 2007, she received her Ph.D. at MIT. She is a AAAI Fellow, Sloan Fellow, a Microsoft Research New Faculty Fellow, and a recipient of NSF CAREER and ONR Young Investigator awards, the PAMI Young Researcher Award in 2013, the 2013 Computers and Thought Award from the International Joint Conference on Artificial Intelligence (IJCAI), the Presidential Early Career Award for Scientists and Engineers (PECASE) in 2013, and the Helmholtz Prize (computer vision test of time award) in 2017. |
