October 17-21 2022 | Singapore

Keynote Speakers

Henry Fuchs, Computer Science, the University of North Carolina at Chapel Hill.

Henry Fuchs is the Federico Gil Distinguished Professor of Computer Science and Adjunct Professor of Biomedical Engineering at UNC Chapel Hill. He has been active in computer graphics since the early 1970s, with rendering algorithms (BSP Trees), hardware (Pixel-Planes and PixelFlow), virtual environments, tele-immersion systems and medical applications. He received a Ph.D. in 1975 from the University of Utah.

From 1975 to 1978 he was an assistant professor at the University of Texas at Dallas. Since 1978, he’s been on the faculty at UNC Chapel Hill. He is a member of the National Academy of Engineering, a fellow of the American Academy of Arts and Sciences, the recipient of the 1992 ACM-SIGGRAPH Achievement Award, the 1992 Academic Award of the National Computer Graphics Association, the 1997 Satava Award of the Medicine Meets Virtual Reality Conference, the 2013 IEEE-VGTC Virtual Reality Career Award, and the 2015 ACM SIGGRAPH Steven A. Coons Award (“considered the field’s most prestigious award”).

Marc Pollefeys is a Professor of Computer Science at ETH Zurich and the Director of the Microsoft Mixed Reality and AI Lab in Zurich where he works with a team of scientists and engineers to develop advanced perception capabilities for HoloLens and Mixed Reality. He was elected Fellow of the IEEE in 2012. He obtained his PhD from the KU Leuven in 1999 and was a professor at UNC Chapel Hill before joining ETH Zurich.

He is best known for his work in 3D computer vision, having been the first to develop a software pipeline to automatically turn photographs into 3D models, but also works on robotics, graphics and machine learning problems. Other noteworthy projects he worked on are real-time 3D scanning with mobile devices, a real-time pipeline for 3D reconstruction of cities from vehicle mounted-cameras, camera-based self-driving cars and the first fully autonomous vision-based drone. Most recently his academic research has focused on combining 3D reconstruction with semantic scene understanding.