08:50
Opening Remarks08:50 AM - 09:00 AM
09:00
Invited Talk 109:00 AM - 09:35 AM
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. His current work focuses on generative AI for 3D computer vision, for generating 3D objects from text and images as well as the basis for image understanding. He is author of more than 200 peer-reviewed publications in the top machine vision and artificial intelligence conferences and journals. He is a recipient of the Mark Everingham Prize for selfless contributions to the computer vision community, the Test of Time Award by the ACM for his open source software contributions, and the best paper award from the Conference on Computer Vision and Pattern Recognition.
09:35
Invited Talk 209:35 AM - 10:10 AM
Professor Katerina Fragkiadaki is an Assistant Professor in the Machine Learning Department at Carnegie Mellon University. Her research interests lie in building machines that can understand the stories portrayed in videos, and conversely, using videos to teach machines about the world. The pen-ultimate goal of her work is to build a machine that comprehends movie plots, while the ultimate goal is to develop a machine that would prefer watching the films of Ingmar Bergman over other options.
Prior to joining the faculty at Carnegie Mellon's Machine Learning Department, Professor Fragkiadaki spent three years as a postdoctoral researcher, first at UC Berkeley working with Jitendra Malik, and then at Google Research in Mountain View, where she worked with the video group. She completed her Ph.D. in the GRASP (General Robotics, Automation, Sensing & Perception) program at the University of Pennsylvania under the guidance of Jianbo Shi. Her undergraduate studies were undertaken at the National Technical University of Athens, and before that, she was in Crete.
Professor Fragkiadaki's academic journey and research interests revolve around developing machines that can comprehend and interpret the narratives conveyed through videos, ultimately aiming to create artificial intelligence systems that can appreciate and engage with complex artistic works like the films of acclaimed director Ingmar Bergman.
10:10
Coffee & Poster session10:10 AM - 10:40 AM
10:45
Invited Talk 310:45 AM - 11:20 AM
Minhyuk Sung is an assistant professor in the School of Computing at KAIST, affiliated with the Graduate School of AI and the Graduate School of Metaverse. Before joining KAIST, he was a Research Scientist at Adobe Research. He received his Ph.D. from Stanford University under the supervision of Professor Leonidas J. Guibas. His research interests lie in vision, graphics, and machine learning, with a focus on 3D geometric data generation, processing, and analysis. His academic services include serving as a program committee member in SIGGRAPH Asia 2022, 2023, and 2024, Eurographics 2022 and 2024, Pacific Graphics 2023, and AAAI 2023 and 2024.
11:20
Invited Talk 411:20 AM - 11:55 AM
Jiajun Wu is an Assistant Professor of Computer Science and, by courtesy, of Psychology at Stanford University, working on computer vision, machine learning, and computational cognitive science. Before joining Stanford, he was a Visiting Faculty Researcher at Google Research. He received his PhD in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology. Wu's research has been recognized through the Young Investigator Programs (YIP) by ONR and by AFOSR, the NSF CAREER award, paper awards and finalists at ICCV, CVPR, SIGGRAPH Asia, CoRL, and IROS, dissertation awards from ACM, AAAI, and MIT, the 2020 Samsung AI Researcher of the Year, and faculty research awards from J.P. Morgan, Samsung, Amazon, and Meta.
12:00
Lunch break12:00 PM - 01:00 PM
01:00
Invited Talk 501:00 PM - 01:35 PM
Srinath Sridhar is an assistant professor of computer science at Brown University. He received his PhD at the Max Planck Institute for Informatics and was subsequently a postdoctoral researcher at Stanford. His research interests are in 3D computer vision and machine learning. Specifically, his group (https://ivl.cs.brown.edu) focuses on visual understanding of 3D human physical interactions with applications ranging from robotics to mixed reality. He is a recipient of the NSF CAREER award, a Google Research Scholar award, and his work received the Eurographics Best Paper Honorable Mention. He spends part of his time as a visiting academic at Amazon Robotics and has previously spent time at Microsoft Research Redmond and Honda Research Institute.
01:35
Oral paper presentations01:35 PM - 03:00 PM
03:00
Challenges03:00 PM - 03:15 PM
A presentation of the 3DCoMPaT++ challenge winners and their solutions, and of the VSIC challenge.
03:15
Coffee & Poster session03:15 PM - 04:00 PM
04:00
Invited Talk 604:00 PM - 04:35 PM
Qi Xiaojuan is an assistant professor in the Department of Electrical and Electronic Engineering at the University of Hong Kong. She received her Ph.D. from the Chinese University of Hong Kong and has worked and exchanged at the University of Toronto, Oxford University and Intel Visual Computing Group. She is committed to empowering machines with the ability to perceive, understand and reconstruct the visual world in the open world and pushing their deployments in embodied agents.
04:35
Invited Talk 704:35 PM - 05:10 PM
Prof. Dai's research focuses on attaining a 3D understanding of the world around us, capturing and constructing semantically-informed 3D models of real-world environments. This includes 3D reconstruction and semantic understanding from commodity RGB-D sensor data, leveraging generative 3D deep learning towards enabling understanding and interaction with 3D scenes for content creation and virtual or robotic agents.
Prof. Dai received her PhD in computer science from Stanford in 2018 and her BSE in computer science from Princeton in 2013. Her research has been recognized through a ZDB Junior Research Group Award, an ACM SIGGRAPH Outstanding Doctoral Dissertation Honorable Mention, as well as a Stanford Graduate Fellowship. Since 2020, she has been a professor at TUM, leading the 3D AI Lab.
05:15
Panel discussion05:15 PM - 06:00 PM
A panel discussion on the future of compositional 3D vision, with the invited speakers and other experts in the field.
Zoom Live Stream Link
