Research output per year
Research output per year
Personal profile
Biography
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 2013-2016, he was a Research Fellow at the Singapore University of Technology and Design. From 2016-2018, he was a Research Fellow at the Australian Centre for Robotic Vision and the University of Adelaide. From 2018-2020, 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.
Research area keywords
- Computer Vision
- Machine Learning
Network
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
-
Deterministic approximate methods for maximum consensus robust fitting
Le, H. M., Chin, T-J., Eriksson, A., Do, T-T. & Suter, D., Mar 2021, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 43, 3, p. 842-857 14 p.Research output: Contribution to journal › Article › Research › peer-review
-
Visual localization under appearance change: filtering approaches
Doan, A-D., Latif, Y., Chin, T-J., Liu, Y., Ch’ng, S-F., Do, T-T. & Reid, I., Jul 2021, In: Neural Computing and Applications. 33, p. 7325–7338 14 p.Research output: Contribution to journal › Article › Research › peer-review
1 Citation (Scopus) -
Compact hash code learning with binary deep neural network
Do, T-T., Hoang, T., Le Tan, D-K., Doan, A-D. & Cheung, N-M., Apr 2020, In: IEEE Transactions on Multimedia. 22, 4, p. 992-1004 13 p.Research output: Contribution to journal › Article › Research › peer-review
7 Citations (Scopus) -
Deep metric learning meets deep clustering: an novel unsupervised approach for feature embedding
Nguyen, B. X., Nguyen, B. D., Carneiro, G., Tjiputra, E., Tran, Q. D. & Do, T-T., 2020, 31st British Machine Vision Conference, BMVC 2020. Campbell, N. (ed.). London UK: British Machine Vision Association and Society for Pattern Recognition, 13 p. 61Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
Open AccessFile -
Direct quantization for training highly accurate low bit-width deep neural networks
Hoang, T., Do, T-T., Nguyen, T. V. & Cheung, N-M., 2020, Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence. Bessiere, C. (ed.). Marina del Rey CA USA: Association for the Advancement of Artificial Intelligence (AAAI), p. 2111-2118 8 p.Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
Open AccessFile