Hao Su is an Associate Professor of Computer Science at the University of California, San Diego. He is the Director of the Embodied AI Lab at UCSD, a founding member of the Data Science Institute, and a member of the Center for Visual Computing and the Contextural Robotics Institute. He works on algorithms to model, undertand, and interact with the physical world. His interests span computer vision, machine learning, computer graphics, and robotics -- all areas in which he has published and lectured extensively.

Hao Su obtained his Ph.D. in Computer Science from Stanford. Prior to that, he obtained a Ph.D. in Mathematics from Beihang University, China. At Stanford and UCSD he developed widely used datasets and softwares such as ImageNet, ShapeNet, PointNet, PartNet, SAPIEN, and more recently, ManiSkill. He also developed new courses to promote machine learning methods for 3D geometry and embodied AI. He served as the Area Chair or Associate Editor for top conferences and journals in computer vision (ICCV/ECCV/CVPR), computer graphics (SIGGRAPH/ToG), robotics (IROS/ICRA), and machine learning (NeurIPS/ICLR). He received the SIGGRAPH Best Ph.D. Thesis Award Honorable Mention and the NSF CAREER Award.

Brian Clipp, Ph.D. is an Assistant Director on Kitware’s Computer Vision Team located in Carrboro, North Carolina. He leads research and development projects across a broad range of computer vision areas. These areas include user-in-the-loop artificial intelligence, satellite image segmentation, low-shot image classification, zero-shot object detection, real-time 3D reconstruction from video, object detection and classification in infrared imagery, and depth estimation from passive, long-wave infrared sensors. He has either led or been a significant contributor to projects for the Defense Advanced Research Projects Agency (DARPA), Air Force Research Laboratory (AFRL), Office of Naval Research (ONR), Intelligence Advanced Research Projects Activity (IARPA), Night Vision and Electronic Sensors Directorate (NVESD), and National Geospatial-Intelligence Agency (NGA).

Over the course of his career, Brian has published eighteen articles in peer-reviewed proceedings and journals for international computer vision and robotics conferences. He has served as an area chair or reviewer for numerous top-tier computer vision conferences. Since joining Kitware in 2017, he has led proposals resulting in more than $4.6M in funding.

Prior to joining Kitware, Brian spent four years at URC Ventures, a startup company that focuses on commercial applications of 3D reconstruction from imagery. There, he led a team of scientists and software …

Experienced researcher with over 12 years at US Naval Research Laboratory, Ph.D. in Earth Systems and Geoinformation Sciences. Expertise in applying statistical analytics and machine learning with domain-centric approach to real-world, complex data. Proficient in machine learning, data science, computer vision, GeoAI and remote sensing, with extensive field experience collecting diverse remote sensing data. Skilled in high-dimensional data cleaning, preprocessing, and analysis. Recipient of multiple awards for research, including the Alan Berman Research Publication Award, the NRL Karles Fellowship, and American Society of Photogrammetry and Remote Sensing Ford Bartlett Award. Actively involved in the research community, serving as chair/co-chair at international conferences such as CVPR Tutorials and IGARSS. Proven leadership as a PI/co-PI on numerous projects and as a DARPA liaison overseeing and evaluating the SAIL-ON program.

Linda Shapiro, Professor of Computer Science and Engineering, Professor of Electrical and Computer Engineering, and Adjunct Professor of Biomedical and Informatics and Medical Education, earned a bachelor's degree in mathematics from the University of Illinois in 1970 and master's and Ph.D degrees in computer science from the University of Iowa in 1972 and 1974, respectively. She was a faculty member in Computer Science at Kansas State University from 1974 to 1978 and at Virginia Polytechnic Institute and State University from 1979 to 1984. She then spent two years as Director of Intelligent Systems at Machine Vision International in Ann Arbor, Michigan. She joined the University of Washington Electrical Engineering (now ECE) Department Department in 1986 and the Computer Science and Engineering Department in 1990. Professor Shapiro's research is in computer vision with related interests in image and multimedia database systems, artificial intelligence (search, reasoning, knowledge representation, learning), and applications in medicine and robotics. She has worked heavily in knowledge-based 3D object recognition and has contributed to both the theory of object matching and to the development of experimental machine vision systems. Her current work includes robot vision, cancer biopsy analysis, brain image analysis, and semantic segmentation. Professor Shapiro was the …

Luba Elliott is a curator and researcher specialising in AI art. She works to educate and engage the broader public about the developments in AI art through talks and exhibitions at venues across the art, business and technology spectrum including The Serpentine Galleries, V&A Museum, Feral File, ZKM Karlsruhe, The Leverhulme Centre for the Future of Intelligence, NeurIPS and ICCV. Her projects include the ART-AI Festival and the galleries aiartonline.com and computervisionart.com. She is an Honorary Senior Research Fellow at the UCL Centre for Artificial Intelligence. Prior to that, she worked in start-ups, including the art collector database Larry's List. She has a degree in Modern Languages from the University of Cambridge.

Professor of Computer Science @ Washington University in St. Louis

Dr. Yoshitomo Matsubara is a Research Scientist at Yahoo! and an ML OSS developer. He completed the Ph.D. program in Computer Science at University of California, Irvine (UCI) and worked on deep learning for resource-constrained edge computing systems with Profs. Marco Levorato, Stephan Mandt, and Sameer Singh. Before UCI, he obtained his Master and Bachelor degrees at University of Hyogo and National Institute of Technology, Akashi College, Japan, respectively.

His main research interests are in machine learning, natural language processing, computer vision, information retrieval, and symbolic regression. For deep learning, his main interests are in knowledge distillation and supervised compression. He is also a developer of ML OSS: torchdistill (PyTorch Ecosystem) and sc2bench.