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ORCIDThanh-Toan Do
- > Home > Persons > Thanh-Toan Do
Publications
- 2023
[j20]Tuan Hoang
, Thanh-Toan Do, Tam V. Nguyen, Ngai-Man Cheung:
Multimodal Mutual Information Maximization: A Novel Approach for Unsupervised Deep Cross-Modal Hashing. IEEE Trans. Neural Networks Learn. Syst. 34(9): 6289-6302 (2023)- [c45]Cuong Pham, Tuan Hoang, Thanh-Toan Do:
Collaborative Multi-Teacher Knowledge Distillation for Learning Low Bit-width Deep Neural Networks. WACV 2023: 6424-6432 - 2022
- [i48]Cuong Pham, Tuan Hoang, Thanh-Toan Do:
Collaborative Multi-Teacher Knowledge Distillation for Learning Low Bit-width Deep Neural Networks. CoRR abs/2210.16103 (2022) - 2021
- [i43]Tuan Hoang, Thanh-Toan Do, Tam V. Nguyen, Ngai-Man Cheung:
Multi-Modal Mutual Information Maximization: A Novel Approach for Unsupervised Deep Cross-Modal Hashing. CoRR abs/2112.06489 (2021) - 2020
- [j12]Tuan Hoang, Thanh-Toan Do, Huu Le, Dang-Khoa Le Tan, Ngai-Man Cheung:
Simultaneous compression and quantization: A joint approach for efficient unsupervised hashing. Comput. Vis. Image Underst. 191: 102852 (2020) - [j11]Tuan Hoang, Thanh-Toan Do, Tam V. Nguyen, Ngai-Man Cheung:
Unsupervised Deep Cross-modality Spectral Hashing. IEEE Trans. Image Process. 29: 8391-8406 (2020) - [j10]Thanh-Toan Do, Tuan Hoang, Dang-Khoa Le Tan, Anh-Dzung Doan, Ngai-Man Cheung:
Compact Hash Code Learning With Binary Deep Neural Network. IEEE Trans. Multim. 22(4): 992-1004 (2020) - [c39]Tuan Hoang, Thanh-Toan Do, Tam V. Nguyen, Ngai-Man Cheung:
Direct Quantization for Training Highly Accurate Low Bit-width Deep Neural Networks. IJCAI 2020: 2111-2118 - [c37]Tuan Hoang, Thanh-Toan Do, Ngai-Man Cheung, Michael Riegler, Jan Zahálka:
Reproducibility Companion Paper: Selective Deep Convolutional Features for Image Retrieval. ACM Multimedia 2020: 4448-4452 - [i39]Tuan Hoang, Thanh-Toan Do, Tam V. Nguyen, Ngai-Man Cheung:
Unsupervised Deep Cross-modality Spectral Hashing. CoRR abs/2008.00223 (2020) - [i36]Tuan Hoang, Thanh-Toan Do, Tam V. Nguyen, Ngai-Man Cheung:
Direct Quantization for Training Highly Accurate Low Bit-width Deep Neural Networks. CoRR abs/2012.13762 (2020) - 2019
- [j7]Thanh-Toan Do, Khoa Le, Tuan Hoang, Huu Le, Tam V. Nguyen, Ngai-Man Cheung:
Simultaneous Feature Aggregating and Hashing for Compact Binary Code Learning. IEEE Trans. Image Process. 28(10): 4954-4969 (2019) - [j6]Thanh-Toan Do, Tuan Hoang, Dang-Khoa Le Tan, Huu Le, Tam V. Nguyen, Ngai-Man Cheung:
From Selective Deep Convolutional Features to Compact Binary Representations for Image Retrieval. ACM Trans. Multim. Comput. Commun. Appl. 15(2): 43:1-43:22 (2019) - [c35]Huu M. Le, Thanh-Toan Do, Tuan Hoang, Ngai-Man Cheung:
SDRSAC: Semidefinite-Based Randomized Approach for Robust Point Cloud Registration Without Correspondences. CVPR 2019: 124-133 - [c33]Thanh-Toan Do, Toan Tran, Ian D. Reid, B. G. Vijay Kumar, Tuan Hoang, Gustavo Carneiro:
A Theoretically Sound Upper Bound on the Triplet Loss for Improving the Efficiency of Deep Distance Metric Learning. CVPR 2019: 10404-10413 - [c26]Thanh-Toan Do, Tuan Hoang, Dang-Khoa Le Tan, Trung Pham, Huu Le, Ngai-Man Cheung, Ian D. Reid:
Binary Constrained Deep Hashing Network for Image Retrieval Without Manual Annotation. WACV 2019: 695-704 - [i34]Huu Le, Tuan Hoang, Qianggong Zhang, Thanh-Toan Do, Anders P. Eriksson, Michael Milford:
SASSE: Scalable and Adaptable 6-DOF Pose Estimation. CoRR abs/1902.01549 (2019) - [i32]Huu Le, Thanh-Toan Do, Tuan Hoang, Ngai-Man Cheung:
SDRSAC: Semidefinite-Based Randomized Approach for Robust Point Cloud Registration without Correspondences. CoRR abs/1904.03483 (2019) - [i31]Thanh-Toan Do, Toan Tran, Ian D. Reid, B. G. Vijay Kumar, Tuan Hoang, Gustavo Carneiro:
A Theoretically Sound Upper Bound on the Triplet Loss for Improving the Efficiency of Deep Distance Metric Learning. CoRR abs/1904.08720 (2019) - [i29]Thanh-Toan Do, Khoa Le, Tuan Hoang, Huu Le, Tam V. Nguyen, Ngai-Man Cheung:
Simultaneous Feature Aggregating and Hashing for Compact Binary Code Learning. CoRR abs/1904.11820 (2019) - 2018
- [j2]Thanh-Toan Do, Tuan Hoang, Victor Pomponiu, Yiren Zhou, Zhao Chen, Ngai-Man Cheung, Dawn Chin-Ing Koh, Aaron Tan, Suat-Hoon Tan:
Accessible Melanoma Detection Using Smartphones and Mobile Image Analysis. IEEE Trans. Multim. 20(10): 2849-2864 (2018) - [c22]Dang-Khoa Le Tan, Huu Le, Tuan Hoang, Thanh-Toan Do, Ngai-Man Cheung:
DeepVQ: A Deep Network Architecture for Vector Quantization. CVPR Workshops 2018: 2579-2582 - [i24]Thanh-Toan Do, Tuan Hoang, Dang-Khoa Le Tan, Ngai-Man Cheung:
From Selective Deep Convolutional Features to Compact Binary Representations for Image Retrieval. CoRR abs/1802.02899 (2018) - [i22]Tuan Hoang, Thanh-Toan Do, Dang-Khoa Le Tan, Ngai-Man Cheung:
Simultaneous Compression and Quantization: A Joint Approach for Efficient Unsupervised Hashing. CoRR abs/1802.06645 (2018) - [i21]Thanh-Toan Do, Dang-Khoa Le Tan, Trung Pham, Tuan Hoang, Ngai-Man Cheung:
Binary Constrained Deep Hashing Network for Image Retrieval without Human Intervention. CoRR abs/1802.07437 (2018) - 2017
- [c15]Tuan Hoang, Thanh-Toan Do, Dang-Khoa Le Tan, Ngai-Man Cheung:
Enhancing feature discrimination for unsupervised hashing. ICIP 2017: 3710-3714 - [c13]Tuan Hoang, Thanh-Toan Do, Dang-Khoa Le Tan, Ngai-Man Cheung:
Selective Deep Convolutional Features for Image Retrieval. ACM Multimedia 2017: 1600-1608 - [i12]Tuan Hoang, Thanh-Toan Do, Dang-Khoa Le Tan, Ngai-Man Cheung:
Enhance Feature Discrimination for Unsupervised Hashing. CoRR abs/1704.01754 (2017) - [i11]Tuan Hoang, Thanh-Toan Do, Dang-Khoa Le Tan, Ngai-Man Cheung:
Selective Deep Convolutional Features for Image Retrieval. CoRR abs/1707.00809 (2017) - [i6]Thanh-Toan Do, Victor Pomponiu, Yiren Zhou, Tuan Hoang, Zhao Chen, Ngai-Man Cheung, Dawn Chin-Ing Koh, Aaron Tan, Suat-Hoon Tan:
Accessible Melanoma Detection using Smartphones and Mobile Image Analysis. CoRR abs/1711.09553 (2017) - [i5]Thanh-Toan Do, Dang-Khoa Le Tan, Tuan Hoang, Ngai-Man Cheung:
Compact Hash Code Learning with Binary Deep Neural Network. CoRR abs/1712.02956 (2017)
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