Björn Ommer is a full professor at LMU where he heads the Computer Vision & Learning Group (previously Computer Vision Group Heidelberg). Before he was a full professor at the Department of Mathematics and Computer Science of Heidelberg University and also served as a one of the directors of the Interdisciplinary Center for Scientific Computing (IWR) and of the Heidelberg Collaboratory for Image Processing (HCI). He studied computer science together with physics as a minor subject at the University of Bonn, Germany. After that he pursued his doctoral studies in computer science at ETH Zurich. He received his Ph.D. degree from ETH Zurich for his dissertation “Learning the Compositional Nature of Objects for Visual Recognition” which was awarded the ETH Medal and held a post-doc position in the Computer Vision Group of Jitendra Malik at UC Berkeley.

He serves as an associate editor for the journal IEEE T-PAMI and previously for Pattern Recognition Letters. Björn is an ELLIS member and ELLIS unit faculty of the ELLIS Life unit and a PI of the Munich Center for Machine Learning (MCML). He has served as Area Chair for multiple CVPR, ICCV, ECCV conferences and as workshop organizer.

Ahmed Elgammal is a professor at the Department of Computer Science at Rutgers University. He is the founder and director of the Art and Artificial Intelligence Laboratory at Rutgers, which focuses on data science in the domain of digital humanities. He is also an Executive Council Faculty at the Center for Cognitive Science at Rutgers University. He published over 180 peer-reviewed papers, book chapters, and books in the fields of computer vision, machine learning, and artificial intelligence. His research on knowledge discovery in art history and AI art generation, received wide international media attention, including reports on the Washington Post, New York Times, the Guardian, the Daily Telegraph, CBS, NBC News, Science News, New Scientist, and many others. In 2017, an Artsy editorial acclaimed his work on AI generated art as “the biggest artistic achievement of the year”. In 2016, a TV segment about his research, produced for PBS, has won an Emmy award. His art has been shown in several technology and art venues in Los Angeles, Frankfurt, San Francisco, and New York City.

He received the National Science Foundation CAREER Award in 2006, and his M.Sc. and Ph.D. degrees in computer science from the University of Maryland, College Park, in 2000 and 2002, respectively.

Aaron Hertzmann is a Principal Scientist at Adobe Research. He received a BA in computer science and art & art history from Rice University in 1996, and a PhD in computer science from New York University in 2001. He was a Professor at University of Toronto for 10 years, and has also worked at Pixar Animation Studios, University of Washington, Microsoft Research, Mitsubishi Electric Research Lab, and Interval Research Corporation. He has published over 100 papers on computer graphics, computer vision, machine learning, robotics, HCI, visual perception, and art.

He is an Affiliate Professor at University of Washington, an ACM Fellow, an IEEE Fellow, and the Editor-in-Chief of Foundations and Trends in Computer Graphics and Vision.