Leonidas J. Guibas

Professor, Stanford University

Professor Guibas heads the Geometric Computation group in the Computer Science Department of Stanford University and is a member of the Computer Graphics and Artificial Intelligence Laboratories. He works on algorithms for sensing, modeling, reasoning, rendering, and acting on the physical world. Guibas interests span computational geometry, geometric modeling, computer graphics, computer vision, sensor networks, robotics, and discrete algorithms --- all areas in which he has published and lectured extensively. Current foci of interest include geometric modeling with point cloud data, deformations and contacts, organizing and searching libraries of 3D shapes and images, sensor networks for lightweight distributed estimation / reasoning, analysis of GPS traces and other mobility data, and modeling the shape and motion biological macromolecules and other biological structures. More theoretical work is aimed at investigating fundamental computational issues and limits in geometric computing and modeling.

Ayellet Tal

Professor, Technion

Ayellet Tal is a professor in the Department of Electrical Engineering and heads the Computer Graphics and Multimedia Lab at the Technion, Israel. She holds a Ph.D. in Computer Science from Princeton University and a B.Sc degree (Summa cum Laude) in Mathematics and Computer Science from Tel-Aviv University. Her research interests span computer graphics, computer vision and information visualization. She regularly serves as an area chair and as a member of program committees of the major international conferences and as an associate editor of journals.

Thomas Funkhouser

Professor, Princeton University

Thomas Funkhouser is the David M. Siegel Professor of Computer Science at Princeton University and a full-time Research Scientist at Google. He received a B.S. in biological sciences from Stanford University in 1983, a M.S. in computer science from UCLA in 1989, and a PhD in computer science from UC Berkeley in 1993. He was a member of the technical staff at Bell Labs during 1993-1997.  He has published more than 100 research papers and received several awards, including the ACM SIGGRAPH Computer Graphics Achievement Award, NSF Career Award, University Council Excellence in Teaching Awards, and a Sloan Fellowship. He is an ACM Fellow.

Vincent Lepetit

LaBRI, University of Bordeaux

Dr. Vincent Lepetit is a Full Professor at the LaBRI, University of Bordeaux. He also supervizes a research group in Computer Vision for Augmented Reality at the Institute for Computer Graphics and Vision, TU Graz. He received the PhD degree in Computer Vision in 2001 from the University of Nancy, France, after working in the ISA INRIA team. He then joined EPFL where he became a founding member of the Computer Vision Laboratory. He became a Professor at TU Graz in February 2014, and at University of Bordeaux in January 2017. His research is at the interface between Machine Learning and 3D Computer Vision, with application to 3D hand pose estimation, feature point detection and description, and 3D object or camera registration from images. In particular, he introduced with his colleagues methods such as Ferns, BRIEF, LINE-MOD, and DeepPrior for feature point matching and 3D object recognition. He often serves as area chair and program committee member of major vision conferences (CVPR, ICCV, ECCV). He is an editor for the International Journal of Computer Vision (IJCV), the IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), and the Computer Vision and Image Understanding (CVIU) journal. He is also a senior member of the Institut Universitaire de France.