Tuan Hoang

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 36

Top Topics

Mutual Information Maximization

Theoretically Sound

Image Retrieval

Top Venues

IEEE Trans. Image Process.

Publications

Tuan Hoang, Santu Rana, Sunil Gupta, Svetha Venkatesh
Learn to Unlearn for Deep Neural Networks: Minimizing Unlearning Interference with Gradient Projection. WACV (2024)
Cuong Pham, Tuan Hoang, Thanh-Toan Do
Collaborative Multi-Teacher Knowledge Distillation for Learning Low Bit-width Deep Neural Networks. WACV (2023)
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) (2023)
Tuan Hoang, Santu Rana, Sunil Gupta, Svetha Venkatesh
Learn to Unlearn for Deep Neural Networks: Minimizing Unlearning Interference with Gradient Projection. CoRR (2023)
Cuong Pham, Tuan Hoang, Thanh-Toan Do
Collaborative Multi-Teacher Knowledge Distillation for Learning Low Bit-width Deep Neural Networks. CoRR (2022)
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 (2021)
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) (2020)
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 (2020)
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)
Tuan Hoang, Thanh-Toan Do, Tam V. Nguyen, Ngai-Man Cheung
Unsupervised Deep Cross-modality Spectral Hashing. CoRR (2020)
Tuan Hoang, Thanh-Toan Do, Tam V. Nguyen, Ngai-Man Cheung
Unsupervised Deep Cross-modality Spectral Hashing. IEEE Trans. Image Process. 29 (2020)
Tuan Hoang, Thanh-Toan Do, Tam V. Nguyen, Ngai-Man Cheung
Direct Quantization for Training Highly Accurate Low Bit-width Deep Neural Networks. CoRR (2020)
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)
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)
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)
Huu Le, Tuan Hoang, Michael J. Milford
BTEL: A Binary Tree Encoding Approach for Visual Localization. IEEE Robotics Autom. Lett. 4 (4) (2019)
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 (2019)
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 (2019)
Huu Le, Ming Xu, Tuan Hoang, Michael Milford
Hierarchical Encoding of Sequential Data With Compact and Sub-Linear Storage Cost. ICCV (2019)
Huu Le, Tuan Hoang, Michael Milford
BTEL: A Binary Tree Encoding Approach for Visual Localization. CoRR (2019)
Huu Le, Tuan Hoang, Qianggong Zhang, Thanh-Toan Do, Anders P. Eriksson, Michael Milford
SASSE: Scalable and Adaptable 6-DOF Pose Estimation. CoRR (2019)
Huu Le, Thanh-Toan Do, Tuan Hoang, Ngai-Man Cheung
SDRSAC: Semidefinite-Based Randomized Approach for Robust Point Cloud Registration without Correspondences. CoRR (2019)
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) (2019)
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)
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) (2019)
Tuan Hoang, Thanh-Toan Do, Dang-Khoa Le Tan, Ngai-Man Cheung
Simultaneous Compression and Quantization: A Joint Approach for Efficient Unsupervised Hashing. CoRR (2018)
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 (2018)
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)
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) (2018)
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 (2018)
Tuan Hoang, Thanh-Toan Do, Dang-Khoa Le Tan, Ngai-Man Cheung
Enhancing feature discrimination for unsupervised hashing. ICIP (2017)
Tuan Hoang, Thanh-Toan Do, Dang-Khoa Le Tan, Ngai-Man Cheung
Selective Deep Convolutional Features for Image Retrieval. ACM Multimedia (2017)
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 (2017)
Thanh-Toan Do, Dang-Khoa Le Tan, Tuan Hoang, Ngai-Man Cheung
Compact Hash Code Learning with Binary Deep Neural Network. CoRR (2017)
Tuan Hoang, Thanh-Toan Do, Dang-Khoa Le Tan, Ngai-Man Cheung
Selective Deep Convolutional Features for Image Retrieval. CoRR (2017)
Tuan Hoang, Thanh-Toan Do, Dang-Khoa Le Tan, Ngai-Man Cheung
Enhance Feature Discrimination for Unsupervised Hashing. CoRR (2017)
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)
Tuan Hoang, Dat Tran, Xu Huang, Wanli Ma
A general aggregate model for improving multi-class brain-computer interface systems' performance. IJCNN (2013)
Tuan Hoang, Dat Tran, Xu Huang
Approximation-based Common Principal Component for feature extraction in multi-class Brain-Computer Interfaces. EMBC (2013)
Trung Le, Dat Tran, Tuan Hoang, Dharmendra Sharma
Maximal Margin Approach to Kernel Generalised Learning Vector Quantisation for Brain-Computer Interface. ICONIP (3) (2012)
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)
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)
Trung Le, Dat Tran, Tuan Hoang, Wanli Ma, Dharmendra Sharma
Generalised Support Vector Machine for Brain-Computer Interface. ICONIP (1) (2011)
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)
Tuan Hoang, Dat Tran, Dharmendra Sharma
Remote multimodal biometric authentication using bit priority-based fragile watermarking. ICPR (2008)