Tuan Hoang

According to our database, Tuan Hoang authored at least 36 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Learn to Unlearn for Deep Neural Networks: Minimizing Unlearning Interference with Gradient Projection.

Tuan Hoang, Santu Rana, Sunil Gupta, Svetha Venkatesh

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

Multimodal Mutual Information Maximization: A Novel Approach for Unsupervised Deep Cross-Modal Hashing.

Tuan Hoang, Thanh-Toan Do, Tam V. Nguyen, Ngai-Man Cheung

IEEE Trans. Neural Networks Learn. Syst., September, 2023

Collaborative Multi-Teacher Knowledge Distillation for Learning Low Bit-width Deep Neural Networks.

Cuong Pham, Tuan Hoang, Thanh-Toan Do

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

2021

Multi-Modal Mutual Information Maximization: A Novel Approach for Unsupervised Deep Cross-Modal Hashing.

Tuan Hoang, Thanh-Toan Do, Tam V. Nguyen, Ngai-Man Cheung

CoRR, 2021

2020

Compact Hash Code Learning With Binary Deep Neural Network.

Thanh-Toan Do, Tuan Hoang, Dang-Khoa Le Tan, Anh-Dzung Doan, Ngai-Man Cheung

IEEE Trans. Multim., 2020

Unsupervised Deep Cross-modality Spectral Hashing.

Tuan Hoang, Thanh-Toan Do, Tam V. Nguyen, Ngai-Man Cheung

IEEE Trans. Image Process., 2020

Simultaneous compression and quantization: A joint approach for efficient unsupervised hashing.

Tuan Hoang, Thanh-Toan Do, Huu Le, Dang-Khoa Le Tan, Ngai-Man Cheung

Comput. Vis. Image Underst., 2020

Reproducibility Companion Paper: Selective Deep Convolutional Features for Image Retrieval.

Tuan Hoang, Thanh-Toan Do, Ngai-Man Cheung, Michael Riegler, Jan Zahálka

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Direct Quantization for Training Highly Accurate Low Bit-width Deep Neural Networks.

Tuan Hoang, Thanh-Toan Do, Tam V. Nguyen, Ngai-Man Cheung

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019

From Selective Deep Convolutional Features to Compact Binary Representations for Image Retrieval.

Thanh-Toan Do, Tuan Hoang, Dang-Khoa Le Tan, Huu Le, Tam V. Nguyen, Ngai-Man Cheung

ACM Trans. Multim. Comput. Commun. Appl., 2019

Simultaneous Feature Aggregating and Hashing for Compact Binary Code Learning.

Thanh-Toan Do, Khoa Le, Tuan Hoang, Huu Le, Tam V. Nguyen, Ngai-Man Cheung

IEEE Trans. Image Process., 2019

BTEL: A Binary Tree Encoding Approach for Visual Localization.

Huu Le, Tuan Hoang, Michael J. Milford

IEEE Robotics Autom. Lett., 2019

SASSE: Scalable and Adaptable 6-DOF Pose Estimation.

Huu Le, Tuan Hoang, Qianggong Zhang, Thanh-Toan Do, Anders P. Eriksson, Michael Milford

CoRR, 2019

Binary Constrained Deep Hashing Network for Image Retrieval Without Manual Annotation.

Thanh-Toan Do, Tuan Hoang, Dang-Khoa Le Tan, Trung Pham, Huu Le, Ngai-Man Cheung, Ian D. Reid

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Hierarchical Encoding of Sequential Data With Compact and Sub-Linear Storage Cost.

Huu Le, Ming Xu, Tuan Hoang, Michael Milford

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

SDRSAC: Semidefinite-Based Randomized Approach for Robust Point Cloud Registration Without Correspondences.

Huu M. Le, Thanh-Toan Do, Tuan Hoang, Ngai-Man Cheung

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

A Theoretically Sound Upper Bound on the Triplet Loss for Improving the Efficiency of Deep Distance Metric Learning.

Thanh-Toan Do, Toan Tran, Ian D. Reid, B. G. Vijay Kumar, Tuan Hoang, Gustavo Carneiro

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Accessible Melanoma Detection Using Smartphones and Mobile Image Analysis.

Thanh-Toan Do, Tuan Hoang, Victor Pomponiu, Yiren Zhou, Zhao Chen, Ngai-Man Cheung, Dawn Chin-Ing Koh, Aaron Tan, Suat-Hoon Tan

IEEE Trans. Multim., 2018

Binary Constrained Deep Hashing Network for Image Retrieval without Human Intervention.

Thanh-Toan Do, Dang-Khoa Le Tan, Trung Pham, Tuan Hoang, Ngai-Man Cheung

CoRR, 2018

Simultaneous Compression and Quantization: A Joint Approach for Efficient Unsupervised Hashing.

Tuan Hoang, Thanh-Toan Do, Dang-Khoa Le Tan, Ngai-Man Cheung

CoRR, 2018

From Selective Deep Convolutional Features to Compact Binary Representations for Image Retrieval.

Thanh-Toan Do, Tuan Hoang, Dang-Khoa Le Tan, Ngai-Man Cheung

CoRR, 2018

DeepVQ: A Deep Network Architecture for Vector Quantization.

Dang-Khoa Le Tan, Huu Le, Tuan Hoang, Thanh-Toan Do, Ngai-Man Cheung

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

2017

Compact Hash Code Learning with Binary Deep Neural Network.

Thanh-Toan Do, Dang-Khoa Le Tan, Tuan Hoang, Ngai-Man Cheung

CoRR, 2017

Accessible Melanoma Detection using Smartphones and Mobile Image Analysis.

Thanh-Toan Do, Victor Pomponiu, Yiren Zhou, Tuan Hoang, Zhao Chen, Ngai-Man Cheung, Dawn Chin-Ing Koh, Aaron Tan, Suat-Hoon Tan

CoRR, 2017

Enhance Feature Discrimination for Unsupervised Hashing.

Tuan Hoang, Thanh-Toan Do, Dang-Khoa Le Tan, Ngai-Man Cheung

CoRR, 2017

Selective Deep Convolutional Features for Image Retrieval.

Tuan Hoang, Thanh-Toan Do, Dang-Khoa Le Tan, Ngai-Man Cheung

Proceedings of the 2017 ACM on Multimedia Conference, 2017

Enhancing feature discrimination for unsupervised hashing.

Tuan Hoang, Thanh-Toan Do, Dang-Khoa Le Tan, Ngai-Man Cheung

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

2014

From Trauma in Austere Environments to Combat or Medical School: How Blended Hyper-Realism in the Real and Virtual Worlds Can Better Prepare Surgeons.

Anthony J. Laporta, Tuan Hoang, Alan Moloff, Michael Tieman, Brian D. Schwartz, Sean Slack, Carissa Chalut, Jeff Kang, Alicia Unangst

Proceedings of the Medicine Meets Virtual Reality 21 - NextMed, 2014

2013

A general aggregate model for improving multi-class brain-computer interface systems' performance.

Tuan Hoang, Dat Tran, Xu Huang, Wanli Ma

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Approximation-based Common Principal Component for feature extraction in multi-class Brain-Computer Interfaces.

Tuan Hoang, Dat Tran, Xu Huang

Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

2012

Maximal Margin Approach to Kernel Generalised Learning Vector Quantisation for Brain-Computer Interface.

Trung Le, Dat Tran, Tuan Hoang, Dharmendra Sharma

Proceedings of the Neural Information Processing - 19th International Conference, 2012

Time Domain Parameters for Online Feedback fNIRS-Based Brain-Computer Interface Systems.

Tuan Hoang, Dat Tran, Khoa Truong, Trung Le, Xu Huang, Dharmendra Sharma, Toi Vo

Proceedings of the Neural Information Processing - 19th International Conference, 2012

Pre-implantation electrochemical characterization of a Parylene C sheath microelectrode array probe.

Seth A. Hara, Brian J. Kim, Jonathan T. W. Kuo, Curtis Lee, Christian A. Gutierrez, Tuan Hoang, Ellis Meng

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

2011

Generalised Support Vector Machine for Brain-Computer Interface.

Trung Le, Dat Tran, Tuan Hoang, Wanli Ma, Dharmendra Sharma

Proceedings of the Neural Information Processing - 18th International Conference, 2011

2010

Enhancing Performance of SVM-Based Brain-Computer Interface Systems.

Tuan Hoang, Phuoc Nguyen, Trung Le, Dat Tran, Dharmendra Sharma

Aust. J. Intell. Inf. Process. Syst., 2010

2008

Remote multimodal biometric authentication using bit priority-based fragile watermarking.

Tuan Hoang, Dat Tran, Dharmendra Sharma

Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008