TechTalk – Learning to Simulate and Understand the 3D World

All members of the HKU community and the general public are welcome to join!
Speaker: Professor Xiaojuan Qi, Assistant Professor, Department of Electrical and Electronic Engineering, Faculty of Engineering, HKU
Date: 6th June 2024 (Thursday)
Time: 4:30pm
Mode: Mixed
About the TechTalk
All members of the HKU community and the general public are welcome to join!
Speaker: Professor Xiaojuan Qi, Assistant Professor, Department of Electrical and Electronic Engineering, Faculty of Engineering, HKU
Moderator: Professor Xihui Liu, Assistant Professor, Department of Electrical and Electronic Engineering, Faculty of Engineering, HKU
Date:  6th June 2024 (Thursday)
Time: 4:30pm
Mode: Mixed (both face-to-face and online). Seats for on-site participants are limited. A confirmation email will be sent to participants who have successfully registered.
Language: English

Humans live in a 3D world, continually acquiring diverse skills and engaging in various activities through perceiving, understanding, and interacting with it. Our long-term research objective is centered on simulating the 3D world and empowering AI systems with 3D spatial understanding capabilities. In this talk, I will start by discussing our recent research efforts in creating 3D interactive environments by reconstruction, decomposition, and generation. Subsequently, I will explore how we can equip machines with the ability to comprehend and reason within a 3D environment by adopting a data-centric approach. Lastly, I will examine the possibilities of integrating 3D environment simulation and understanding to facilitate the emergence of closed-loop active intelligence. In summary, this talk will encompass our latest efforts in 3D reconstruction, comprehension, and creation, ultimately aiming for AI systems that can effectively navigate and engage with our 3D world.

Registration
  • The tech talk “Learning to Simulate and Understand the 3D World” will be organized in the Tam Wing Fan Innovation Wing Two (G/F, Run Run Shaw Building, HKU) on 6th June 2024 (Thursday), 4:30pm.
  • Seats are limited. Zoom broadcast is available if the seating quota is full. 
  • Registrants on the waiting list will be notified of the arrangement after the registration deadline (with seating/free-standing/other arrangement)
Recording of the Tech Talk
About the speaker

Professor Xiaojuan Qi

Professor Xiaojuan Qi (https://xjqi.github.io) 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. She has published more than 60 papers in top computer vision and machine learning conferences such as CVPR, ICCV, NeurIPS, etc., many of which have been invited to give oral presentations. She has served/ will serve as area chair for ICCV 2021, CVPR 2021, AAAI 2021, AAAI 2022, CVPR 2023, NeurIPS 2023, and CVPR 2024.

Promotion materials
About the project

Multifunctional Filters for Protecting Public Health

Clean water and clean air are vital for public health. This project focuses on developing high-efficiency and environmentally sustainable filters for removing harmful air/water pollutants. The team has developed novel architectures and functionalities for the filters to achieve high permeance, high removal efficiency, and excellent reusability.

Other Tech talks