Title: Modeling the 3D Physical World for Embodied Intelligence
Speaker: Dr Hao Su, Assistant Professor, Department of Computer Science and Engineering, Jacobs School of Engineering,
University of California, San Diego
University of California, San Diego
Moderator: Professor Kenneth Wong, Head of Department of Electrical and Electronic Engineering, HKU
Date: May 9, 2023
Time: 10:30am – 11:30am
Mode: Hybrid. Seats for on-site participants are limited. A confirmation email will be sent to participants who have successfully registered.
Seminar recording:
Abstract
Embodied AI is a rising paradigm of AI that targets enabling agents to interact with the physical world. Embodied agents can acquire a large amount of data through interaction with the physical world, which makes it possible for agents to close the perception-cognition-action loop and learn autonomously from the world to revise its internal model. In this talk, I will present the work of my group to build an eco-system towards building embodied AI.
Speaker
Dr Hao Su
Assistant Professor @ Department of Computer Science and Engineering, University of California, San Diego
Hao Su is an Assistant Professor of Computer Science at the University of California, San Diego. He is the Director of the Embodied AI Lab at UCSD. 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. He has more than 75,000 citations according to Google Scholar. Hao Su obtained his Ph.D. from Stanford in 2018. 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 (ICLR/NeurIPS).
Dr Su’s Google Scholar page: https://scholar.google.com/citations?user=1P8Zu04AAAAJ&hl=en
Moderator
Prof Kenneth K.Y. Wong
Head @ Department of Electrical and Electronic Engineering, HKU
Prof. Kenneth Kin-Yip Wong is currently a Professor in the Department of Electrical and Electronic Engineering in the University of Hong Kong. He is a senior member of the IEEE (Photonics Society), OSA, and SPIE. He received combined B.E. (1st class honor with medal award) degree in electrical engineering and B. S. degree in physics from the University of Queensland, Brisbane, Australia, in 1997. He received the M.S. degree in 1998 and the Ph.D. degree in 2003, both in electrical engineering at Stanford University. He was a member of the Photonics and Networking Research Laboratory at Stanford University. His research field included DWDM systems, SCM optical systems, fiber nonlinearity, and fiber optical parametric amplifiers. He is author or coauthor of over 50 journal and conference papers.
For full biography of Prof. Wong, please browse his website at: https://www.eee.hku.hk/people/kywong/
For information, please contact:
Email: datascience@hku.hk
