Towards Non-incremental Research: From Visual Domain Adaptation to Deep Video Compression

Speaker: Prof. Dong XU
         Department of Computer Science
         The University of Hong Kong

Title:  "Towards Non-incremental Research: From Visual Domain
         Adaptation to Deep Video Compression"

Date:   Wednesday; 30 November 2022

Time:   3:00pm - 4:00pm

Venue:  Room 4504 (via lift 25/26)
        HKUST

Abstract:

In this talk, I will first introduce our previous domain adaptation works,
including our pioneering works in developing new domain adaptation
(transfer learning) methods for video event recognition, and a series of
subsequent works for single source domain adaptation, multi-domain
adaptation, heterogeneous domain adaptation, domain generalization and
deep domain adaptation, as well as their applications in various computer
vision tasks. Then I will describe our previous deep video compression
works, including the first end-to-end optimized deep video compression
(DVC) framework, and our subsequent works including the feature-space
video coding (FVC) network, as well as our recent works for coding mode
prediction and stereo video compression.


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Biography:

Prof. Dong Xu is a Professor in the Computer Science Department, The
University of Hong Kong, where he serves as the Director of the JC STEM
Lab of Multimedia and Machine Learning. After receiving his PhD degree
from University of Science and Technology of China in 2005, he worked as a
postdoctoral research scientist at Columbia University, a tenure-track and
tenured faculty member at Nanyang Technological University, and the Chair
in Computer Engineering at The University of Sydney.

Prof. Xu is an active researcher in the areas of computer vision,
multimedia and machine learning. He was selected as a Clarivate Analytics
Highly Cited Researcher twice in 2021 and 2018. He was also selected as an
Australian Research Council Future Fellow (Level 3, Professorial Level) in
2018 and awarded the IEEE Computational Intelligence Society Outstanding
Early Career Award in 2017. He has published more than 150 papers in IEEE
Transactions and leading conferences including CVPR, ICCV, ECCV, ICML, ACM
MM and MICCAI. His co-authored works (with his former PhD students)
received the Best Student Paper Award in CVPR 2010 and the IEEE
Transactions on Multimedia Prize Paper Award in 2014.

He is/was on the editorial boards of ACM Computing Surveys (Senior
Associate Editor since October 2022), IEEE Transactions including T-PAMI,
T-IP, T-NNLS, T-CSVT and T-MM, and other five journals, as well as served
as a guest editor of more than ten special issues in multiple journals
(e.g., IJCV, IEEE/ACM Transactions). He will serve/served as the Program
Coordinator of ACM Multimedia 2024, a steering committee member of ICME
(2016-2017) and a Program Co-chair of five international
conferences/workshops (e.g., ICME 2014). He was also involved in the
organization committees of many international conferences and served as an
area chair of leading conferences such as ICCV, CVPR, ECCV, ACM MM and
AAAI. He received the Best Associate Editor Award of T-CSVT in 2017. He is
a Fellow of IEEE and IAPR (The International Association for Pattern
Recognition) and a Foreign Member of the Academia Europaea (The Academy of
Europe).