Hao Su is an Associate Professor of Computer Science at the University of California, San Diego (UCSD), and also serves as the Founder and Chief Technology Officer of Hillbot, an intelligent robotics startup. At UCSD, he is the Director of the Embodied Intelligence Laboratory, a founding member of the Halıcıoğlu Data Science Institute, and a member of the Center for Visual Computing and the Contextual Robotics Institute. His research focuses on developing algorithms to simulate, understand, and interact with the physical world. His interests span computer vision, machine learning, computer graphics, and robotics, with extensive publications and teaching experience in these fields.

Andrea Vedaldi is Professor of Computer Vision and Machine Learning at the University of Oxford, where he co-leads the Visual Geometry Group since 2012. He is also a research scientist and technical lead at Meta. Andrea is a Fellow of the Royal Academy of Engineering and a Royal Society’s Faraday Discovery Fellow. He researches generative AI in computer vision, applied to the generation of 3D content from text and images and to image understanding. He is the author of more than 240 peer-reviewed publications in computer vision and machine learning. He is the recipient of the IEEE Thomas Huang Memorial Prize, the IEEE Mark Everingham Prize, and the Test of Time Award by the ACM, and two best paper awards from the Conference on Computer Vision and Pattern Recognition. He is the recipient of the ERC Starting and Consolidator Grants and co-I in two EPSRC Programme Grants.

Varun Jampani is Chief AI Officer at Arcade.AI. Previously, he was VP research at Stability AI and also held researcher positions at Google and Nvidia. He works in the areas of machine learning and computer vision and his main research interests include image, video and 3D generation. He obtained his PhD with highest honors at Max Planck Institute for Intelligent Systems (MPI) and University of Tübingen in Germany. He obtained his BTech and MS from International Institute of Information Technology, Hyderabad (IIIT-H), India, where he was a gold medalist. He actively contributes to the research community and regularly serves as area chair and reviewer for major computer vision and machine learning conferences. His works have received ‘Best Paper Honorable Mention’ award at CVPR’18 and 'Best Student Paper Honorable Mention' award at CVPR’23.

Philipp Henzler is a Research Scientist at Google working on controllable video models (Veo) and generative 3D AI. He received his PhD from University College London supervised by Tobias Ritschel and Niloy J. Mitra. His PhD thesis received the Eurographics PhD Thesis award 2024. He received his BSc and MSc from Ulm University.