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Do, Thanh-Toan 
ORCID: 0000-0002-6249-0848, Hoang, Tuan, Le Tan, Dang-Khoa, Doan, Anh-Dzung and Cheung, Ngai-Man
(2020)
Compact Hash Code Learning with Binary Deep Neural Network.
IEEE Transactions on Multimedia, 22 (4).
pp. 992-1004.
Do, Thanh-Toan ORCID: 0000-0002-6249-0848, Le, Khoa, Hoang, Tuan, Le, Huu, Nguyen, Tam V and Cheung, Ngai-Man
(2019)
Simultaneous Feature Aggregating and Hashing for Compact Binary Code Learning.
IEEE Transactions on Image Processing, 28 (10).
pp. 4954-4969.
Hoang, Tuan, Do, Thanh-Toan ORCID: 0000-0002-6249-0848, Le, Huu, Le-Tan, Dang-Khoa and Cheung, Ngai-Man
(2019)
Simultaneous compression and quantization: A joint approach for efficient unsupervised hashing.
Computer Vision and Image Understanding, 191.
p. 102852.
Do, Thanh-Toan ORCID: 0000-0002-6249-0848, Tran, Toan, Reid, Ian, Kumar, Vijay, Hoang, Tuan and Carneiro, Gustavo
(2019)
A Theoretically Sound Upper Bound on the Triplet Loss for Improving the Efficiency of Deep Distance Metric Learning.
In: 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019-6-15 - 2019-6-20.