Frontier Technologies Seminars 2022 by HKUST-BDR Joint Research Institute - Event and 360 Camera-based Vision for Intelligent Systems

2:30pm - 4:00pm
Online Seminar

HKUST-BDR Joint Research Institute (HBJRI) is going to organize an online Frontier Technologies Seminar on 30 June 2022 (Thursday). Prof. Lin WANG from the Artificial Intelligence (AI) Thrust of Information Hub (GZ Campus) will give seminars on topics on “Event and 360 Camera-based Vision for Intelligent Systems” to researchers in Bright Dream Robotics (BDR) and HKUST.

 

All UST staff and students are welcome to attend the seminar and explore potential ways of collaboration on mutually-interested research projects.

 

Topics that BDR is interested in are as follows:

- Construction Robotics (typically, integration of control, actuation, and vision)

- AI & Big data

- Building Technologies & Intelligent Manufacturing

 

Please register here. If you would like to know more about the seminar or research collaboration with BDR, contact the institute at hbjri@ust.hk.

 

Topics of the Seminar

• “Event and 360 Camera-based Vision for Intelligent Systems” by Prof. Lin WANG

 

Event Format
Speakers / Performers:
Prof. Lin WANG
Artificial Intelligence (AI) Thrust of Information Hub (GZ Campus)

Dr. WANG Lin (Addison) is an Assistant Professor in the Artificial Intelligence (AI) Thrust of Information Hub (GZ Campus). He was a Postdoc researcher at the Korea Advanced Institute of Science and Technology (KAIST) from August to December 2021. Before that, he got his Ph.D. Degree (with highest Ph.D. Research Award) from KAIST, working with Prof. Kuk-Jin Yoon (KAIST) and Prof. Tae-Kyun Kim (Imperial College London). Dr. WANG had study and research experience in three Departments (Mechanical Eng., Industrial Eng., and Computer Science), and he is familiar with the inter-disciplinary research problems. His research interests lie in computer vision, computational photography, deep learning, and intelligent systems, especially self-driving cars, robotics, VR/AR, and Metaverse. His research highlights are mainly manifested in computer vision with the novel camera sensors (neuromorphic, thermal, and omnidirectional cameras), vision in all seasons, adverse vision problems, low-level vision, and visual understanding for intelligent systems. His research passion is to break the limitations of traditional RGB camera-based computer vision and make the computer vision algorithms more adaptive to tackling real-world problems.

Language
Mandarin
Recommended For
Faculty and staff
PG students
UG students
More Information

Link:https://u.systeccloud.com/j/1811539074
Meeting code:1811539074

Organizer
Office of Knowledge Transfer
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