Biography
Tsz-Kwan, (Glory) Lee received her PhD degree from the Department of Electronic and Information Engineering, The Hong Kong Polytechnic University in 2017. During her PhD study, she was an awardee of the Li Po Chun Charitable Trust Fund Scholarship. Following her doctorate, Dr Lee was a Postdoctoral Fellow at the Centre for Signal Processing, The Hong Kong Polytechnic University from 2017 to 2018. During this fellowship, she had been the principal researcher leading an industrial project in collaboration with Hong Kong Telecommunications Limited, focusing on Video Quality Assessment using Machine Learning techniques. In 2019, Dr Lee was a Tutor and Postgraduate Projects Supervisor at School of Computing and Information Systems, University of Melbourne, Australia. She attained the Graduate Certificate of Higher Education Learning and Teaching from Deakin University in 2021. Currently, Dr Lee is a Senior Lecturer at School of Information Technology, Deakin University, Australia.
Read more on Glory's profileResearch interests
- Video and image signal processing
- Computer vision
- Machine learning
- Video quality assessment
- 2D/3D video coding
- Multimedia technologies
Teaching interests
- Digital Signal Processing (image, video, etc)
- Computational Intelligence
- Information Technology
Units taught
Postgraduate
- SIT724 Research Project
- SIT723 Research Techniques and Applications
- SIT782 Team Project (B) - Execution and Delivery
- SIT764 Team Project (A) - Project Management and Practices
- SIT791 Professional Practice
Undergraduate
- SIT215 Computational Intelligence
- SIT344 Professional Practice
- SIT378 Team Project (B) - Execution and Delivery
- SIT374 Team Project (A) - Project Management and Practices
- SIT202 Computer Networks and Communication
- SIT102 Introduction to Programming
- SIT308 Human Behaviour and Computer Interaction
Research groups
- Smart Sensing, Coding, and Analytics (SmaSCA) Lab, at School of IT research centre, CITECORE
Publications
Omnidirectional Video Super-Resolution Using Deep Learning
A Agrahari Baniya, T Lee, P Eklund, S Aryal
(2024), Vol. 26, pp. 540-554, IEEE Transactions on Multimedia, C1
A Agrahari Baniya, T Lee, P Eklund, S Aryal
(2024), Vol. 5, SN Computer Science, C1
T Pang, T Lee, M Murshed
(2023), Vol. 13, Applied Sciences (Switzerland), C1
Online Video Super-resolution using Information Replenishing Unidirectional Recurrent Model
A Agrahari Baniya, T Lee, P Eklund, S Aryal, A Robles-Kelly
(2023), Vol. 546, Neurocomputing, C1
STIFS: Spatio-Temporal Input Frame Selection for Learning-based Video Super-Resolution Models
A Agrahari Baniya, T Lee, P Eklund, S Aryal
(2022), SIGMAP 2022 : Proceedings of the Signal Processing and Multimedia Applications conference 2022, Lisbon, Portugal, E1
C Cheng, N Ganganath, Tsz Lee, K Fok
(2021), pp. 197-213, The Fourth Industrial Revolution, Singapore, B1
No-reference video quality assessment metric using spatiotemporal features through LSTM
N Kwong, S Tsang, Y Chan, D Lun, T Lee
(2021), Vol. 11766, pp. 1-7, IWAIT 2021 : Proceedings of the International Workshop on Advanced Imaging Technology, Online, E1
Adaptive search range for HEVC motion estimation based on depth information
Tsz-Kwan Lee, Yui-Lam Chan, Wan-Chi Siu
(2017), Vol. 27, pp. 2216-2230, IEEE Transactions on Circuits and Systems for Video Technology, Piscataway, N.J., C1-1
Adaptive search range by depth variant decaying weights for HEVC inter texture coding
Tsz-Kwan Lee, Yui-Lam Chan, Wan-Chi Siu
(2017), pp. 1-6, ICME 2017 : Proceedings of the IEEE International Conference on Multimedia and Expo, Hong Kong, E1-1
Depth-projected Determination for Adaptive Search Range in Motion Estimation for HEVC
Tsz-Kwan Lee, Tsz-Kwan Lee, Yui-Lam Chan, Yui-Lam Chan, Wan-Chi Siu, Wan-Chi Siu
(2017), pp. 164-167, ISCAS 2017 : Proceedings of the IEEE IEEE International Symposium on Circuits and Systems, Baltimore, Maryland, E1-1
Depth-based adaptive search range algorithm for motion estimation in HEVC
Tsz-Kwan Lee, Yui-Lam Chan, Wan-Chi Siu
(2014), pp. 1-5, DSP 2014 : Proceedings of the 19th International Conference on Digital Signal Processing, Hong Kong, E1-1
Motion estimation in low-delay hierarchical p-frame coding using motion vector composition
Tsz-Kwan Lee, Yui-Lam Chan, Wan-Chi Siu
(2013), Vol. 24, pp. 1243-1251, Journal of Visual Communication and Image Representation, Amsterdam, The Netherlands, C1-1
H.264 region-based weighted prediction for scenes with local brightness variations
Sik-Ho Tsang, Tsz Lee, Yui-Lam Chan, Wan-Chi Siu
(2013), pp. 1-4, CIWSP 2013 : Constantinides International Workshop on Signal Processing, London, Eng., E1-1
Region-based weighted prediction algorithm for H.264/AVC video coding
Sik-Ho Tsang, T Lee, Yui-Lam Chan, Wan-Chi Siu
(2013), pp. 1-4, ISCAS 2013 : Proceedings of the IEEE International Symposium on Circuits and Systems, Beijing, China, E1-1
Motion vector composition in low-delay hierarchical P-frame coding
Tsz-Kwan Lee, Yui-Lam Chan, Wan-Chi Siu
(2013), pp. 1-5, ChinaSIP 2013 : Proceedings of the IEEE China Summit and International Conference on Signal and Information Processing, Beijing, China, E1-1
Chang-Hong Fu, Tsz-Kwan Lee, Yui-Lam Chan, Wan-Chi Siu
(2010), Vol. 21, pp. 939-947, JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION, C1-1
A New Motion Vector Composition Algorithm for Fast-forward Video Playback in H.264
Tsz-Kwan Lee, Chang-Hong Fu, Yui-Lam Chan, Wan-Chi Siu
(2010), pp. 3649-3652, 2010 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS, Paris, FRANCE, E1-1
Funded Projects at Deakin
Other Public Sector Funding
The Technical Deployment of a Fruit Picking and Traceability Application with Industry Participants.
Dr Glory Lee, Mr Arbind Agrahari Baniya
Department of Jobs, Precincts & Regions
- 2023: $3,000
- 2022: $16,000
Remote sensing tools for serrated tussock and desirable grassland communities in the Western Grassland Reserve.
Prof Manzur Murshed, Dr Glory Lee
Department of Environment Land Water and Planning
- 2023: $25,000
Supervisions
Arbind Agrahari Baniya
Thesis entitled: Super-Resolution of Conventional and Emerging Videos Using Deep Learning
Doctor of Philosophy (Information Technology), School of Information Technology