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2020 – today
- 2024
[c19]Tuan Hoang, Santu Rana, Sunil Gupta, Svetha Venkatesh:
Learn to Unlearn for Deep Neural Networks: Minimizing Unlearning Interference with Gradient Projection. WACV 2024: 4807-4816- 2023
- [j9]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) - [c18]Cuong Pham, Tuan Hoang, Thanh-Toan Do:
Collaborative Multi-Teacher Knowledge Distillation for Learning Low Bit-width Deep Neural Networks. WACV 2023: 6424-6432 - [i17]Tuan Hoang, Santu Rana, Sunil Gupta, Svetha Venkatesh:
Learn to Unlearn for Deep Neural Networks: Minimizing Unlearning Interference with Gradient Projection. CoRR abs/2312.04095 (2023) - 2022
- [i16]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
- [i15]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
- [j8]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) - [j7]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) - [j6]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) - [c17]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 - [c16]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 - [i14]Tuan Hoang, Thanh-Toan Do, Tam V. Nguyen, Ngai-Man Cheung:
Unsupervised Deep Cross-modality Spectral Hashing. CoRR abs/2008.00223 (2020) - [i13]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)
2010 – 2019
- 2019
- [j5]Huu Le, Tuan Hoang, Michael J. Milford:
BTEL: A Binary Tree Encoding Approach for Visual Localization. IEEE Robotics Autom. Lett. 4(4): 4354-4361 (2019) - [j4]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) - [j3]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) - [c15]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 - [c14]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 - [c13]Huu Le, Ming Xu, Tuan Hoang, Michael Milford:
Hierarchical Encoding of Sequential Data With Compact and Sub-Linear Storage Cost. ICCV 2019: 9823-9832 - [c12]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 - [i12]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) - [i11]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) - [i10]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) - [i9]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) - [i8]Huu Le, Tuan Hoang, Michael Milford:
BTEL: A Binary Tree Encoding Approach for Visual Localization. CoRR abs/1906.11992 (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) - [c11]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 - [i7]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) - [i6]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) - [i5]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
- [c10]Tuan Hoang, Thanh-Toan Do, Dang-Khoa Le Tan, Ngai-Man Cheung:
Enhancing feature discrimination for unsupervised hashing. ICIP 2017: 3710-3714 - [c9]Tuan Hoang, Thanh-Toan Do, Dang-Khoa Le Tan, Ngai-Man Cheung:
Selective Deep Convolutional Features for Image Retrieval. ACM Multimedia 2017: 1600-1608 - [i4]Tuan Hoang, Thanh-Toan Do, Dang-Khoa Le Tan, Ngai-Man Cheung:
Enhance Feature Discrimination for Unsupervised Hashing. CoRR abs/1704.01754 (2017) - [i3]Tuan Hoang, Thanh-Toan Do, Dang-Khoa Le Tan, Ngai-Man Cheung:
Selective Deep Convolutional Features for Image Retrieval. CoRR abs/1707.00809 (2017) - [i2]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) - [i1]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) - 2014
- [c8]Anthony J. Laporta, Tuan Hoang, Alan Moloff, Michael Tieman, Brian D. Schwartz, Sean Slack, Carissa Chalut, Jeff Kang, Alicia Unangst:
From Trauma in Austere Environments to Combat or Medical School: How Blended Hyper-Realism in the Real and Virtual Worlds Can Better Prepare Surgeons. MMVR 2014: 233-237 - 2013
- [c7]Tuan Hoang, Dat Tran, Xu Huang:
Approximation-based Common Principal Component for feature extraction in multi-class Brain-Computer Interfaces. EMBC 2013: 5061-5064 - [c6]Tuan Hoang, Dat Tran, Xu Huang, Wanli Ma:
A general aggregate model for improving multi-class brain-computer interface systems' performance. IJCNN 2013: 1-5 - 2012
- [c5]Seth A. Hara, Brian J. Kim, Jonathan T. W. Kuo, Curtis Lee, Christian A. Gutierrez, Tuan Hoang, Ellis Meng:
Pre-implantation electrochemical characterization of a Parylene C sheath microelectrode array probe. EMBC 2012: 5126-5129 - [c4]Trung Le, Dat Tran, Tuan Hoang, Dharmendra Sharma:
Maximal Margin Approach to Kernel Generalised Learning Vector Quantisation for Brain-Computer Interface. ICONIP (3) 2012: 191-198 - [c3]Tuan Hoang, Dat Tran, Khoa Truong, Trung Le, Xu Huang, Dharmendra Sharma, Toi Vo:
Time Domain Parameters for Online Feedback fNIRS-Based Brain-Computer Interface Systems. ICONIP (2) 2012: 192-201 - 2011
- [c2]Trung Le, Dat Tran, Tuan Hoang, Wanli Ma, Dharmendra Sharma:
Generalised Support Vector Machine for Brain-Computer Interface. ICONIP (1) 2011: 692-700 - 2010
- [j1]Tuan Hoang, Phuoc Nguyen, Trung Le, Dat Tran, Dharmendra Sharma:
Enhancing Performance of SVM-Based Brain-Computer Interface Systems. Aust. J. Intell. Inf. Process. Syst. 11(3) (2010)
2000 – 2009
- 2008
- [c1]Tuan Hoang, Dat Tran, Dharmendra Sharma:
Remote multimodal biometric authentication using bit priority-based fragile watermarking. ICPR 2008: 1-4
Coauthor Index
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