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.
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):
Research area keywords
- Computer Vision
- Machine Learning
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 Active
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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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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
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Instance-Dependent Noisy-Label Learning with Graphical Model Based Noise-Rate Estimation
Garg, A., Nguyen, C., Felix, R., Do, T.-T. & Carneiro, G., 2025, Computer Vision – ECCV 2024 - 18th European Conference Milan, Italy, September 29–October 4, 2024 Proceedings, Part IV. Leonardis, A., Ricci, E., Roth, S., Russakovsky, O., Sattler, T. & Varol, G. (eds.). Cham Switzerland: Springer, p. 372-389 18 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 15062 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
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Learning to Complement and to Defer to Multiple Users
Zhang, Z., Ai, W., Wells, K. D., Rosewarne, D., Do, T.-T. & Carneiro, G., 2025, Computer Vision – ECCV 2024 - 18th European Conference Milan, Italy, September 29–October 4, 2024 Proceedings, Part LVI. Leonardis, A., Ricci, E., Roth, S., Russakovsky, O., Sattler, T. & Varol, G. (eds.). Cham Switzerland: Springer, p. 144-162 19 p. (Lecture Notes in Computer Science; vol. 15114).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
1 Citation (Scopus) -
MetaAug: Meta-Data Augmentation for Post-Training Quantization
Pham, C., Anh Dung, H., Nguyen, C. C., Le, T., Phung, D., Carneiro, G. & Do, T.-T., 2025, Computer Vision – ECCV 2024, 18th European Conference Milan, Italy, September 29–October 4, 2024 Proceedings, Part XXVII. Leonardis, A., Ricci, E., Roth, S., Russakovsky, O., Sattler, T. & Varol, G. (eds.). Cham Switzerland: European Conference On Computer Vision, p. 236–252 17 p.Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
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Frequency Attention for Knowledge Distillation
Pham, C., Nguyen, V.-A., Le, T., Phung, D., Carneiro, G. & Do, T. T., 2024, Proceedings - 2024 IEEE Winter Conference on Applications of Computer Vision, WACV 20. Mortensen, E. (ed.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 2266-2275 10 p.Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
19 Citations (Scopus)