Projects per year
Personal profile
Biography
Thanh-Toan (Toan) Do is a Senior Lecturer at the Faculty of Information Technology, Monash University. He obtained his Ph.D. in computer science at the French National Institute for Research in Computer Science and Control (INRIA) in 2012. From 2013 to 2016, he was a Research Fellow at the Singapore University of Technology and Design. From 2016 to 2018, he was a Research Fellow at the Australian Centre for Robotic Vision and the University of Adelaide. From 2018 to 2020, he was a Lecturer at the University of Liverpool.
His research interests are in the fields of computer vision and machine learning. Some particular research problems are visual search, visual question answering, metric learning, and compact deep learning. His personal webpage can be found at this link. His Google Scholar profile can be found at this link.
Research area keywords
- Computer Vision
- Machine Learning
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Projects
- 1 Finished
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Large-scale multimodal knowledge management: From organization and user modeling to fast contextual presentation
Gasevic, D. (Primary Chief Investigator (PCI)), Swiecki, Z. (Chief Investigator (CI)), Li, Y.-F. (Chief Investigator (CI)), Haffari, R. (Chief Investigator (CI)), Hayat, M. (Chief Investigator (CI)), Chen, G. (Chief Investigator (CI)), Tsai, Y.-S. (Chief Investigator (CI)), Do, T. (Chief Investigator (CI)), Zhuang, B. (Chief Investigator (CI)) & Wang, T. (Chief Investigator (CI))
2/09/22 → 1/09/25
Project: Research
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Learning to complement with multiple humans
Zhang, Z., Nguyen, C., Wells, K., Do, T. T. & Carneiro, G., Apr 2026, In: Pattern Recognition. 172, Part A, 12 p., 112376.Research output: Contribution to journal › Article › Research › peer-review
2 Link opens in a new tab Citations (Scopus) -
PromptDSI: Prompt-Based Rehearsal-Free Continual Learning for Document Retrieval
Huynh, T. L., Vu, T. T., Wang, W., Wei, Y., Le, T., Gasevic, D., Li, Y. F. & Do, T. T., 2026, Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2025 Porto, Portugal, September 15–19, 2025 Proceedings, Part VII. Ribeiro, R. P., Soares, C., Gama, J., Pfahringer, B., Japkowicz, N., Larrañaga, P., Jorge, A. M. & Abreu, P. H. (eds.). Cham Switzerland: Springer, p. 383-401 19 p. (Lecture Notes in Computer Science; vol. 16019 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
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CamoFA: A Learnable Fourier-Based Augmentation for Camouflage Segmentation
Le, M. Q., Tran, M. T., Le, T. N., Nguyen, T. V. & Do, T.-T., 2025, Proceedings - 2025 IEEE Winter Conference on Applications of Computer Vision, WACV 2025. Qiu, Q. & Setlur, S. (eds.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 3427-3436 10 p.Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
8 Link opens in a new tab Citations (Scopus) -
Conditional Distribution Modelling for Few-Shot Image Synthesis with Diffusion Models
Gupta, P., Hayat, M., Dhall, A. & Do, T.-T., 2025, Computer Vision – ACCV 2024 - 17th Asian Conference on Computer Vision Hanoi, Vietnam, December 8–12, 2024 Proceedings, Part V. Cho, M., Laptev, I., Tran, D., Yao, A. & Zha, H. (eds.). Singapore Singapore: Springer, p. 3-20 18 p. (Lecture Notes in Computer Science; vol. 15476).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
1 Link opens in a new tab Citation (Scopus) -
DiffAugment: Diffusion Based Long-Tailed Visual Relationship Recognition
Gupta, P., Nguyen, T., Dhall, A., Hayat, M., Le, T. & Do, T. T., 2025, Computer Vision – ECCV 2024 Workshops - Milan, Italy, September 29–October 4, 2024 Proceedings, Part XX. Del Bue, A., Canton, C., Pont-Tuset, J. & Tommasi, T. (eds.). Cham Switzerland: Springer, p. 36-52 17 p. (Lecture Notes in Computer Science; vol. 15642).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review