Combining Descriptors Extracted from Feature Maps of Deconvolutional Networks and SIFT Descriptors in Scene Image Classification. - Dung A. Doan; Ngoc-Trung Tran; Dinh-Phong Vo; Bac Le; Atsuo Yoshitaka (ICCSA (5), 2013)

Learned and designed features for sparse coding in image classification. - Dung A. Doan; Ngoc-Trung Tran; Dinh-Phong Vo; Bac Le (RIVF, 2013)

Discrete Hashing with Deep Neural Network. - Thanh-Toan Do; Anh-Zung Doan; Ngai-Man Cheung (CoRR, 2015)

Learning to Hash with Binary Deep Neural Network. - Thanh-Toan Do; Anh-Dzung Doan; Ngai-Man Cheung (ECCV (5), 2016)

Binary Hashing with Semidefinite Relaxation and Augmented Lagrangian. - Thanh-Toan Do; Anh-Dzung Doan; Duc Thanh Nguyen; Ngai-Man Cheung (ECCV (2), 2016)

On-device Scalable Image-based Localization. - Ngoc-Trung Tran; Dang-Khoa Le Tan; Anh-Dzung Doan; Thanh-Toan Do; Tuan-Anh Bui; Ngai-Man Cheung (CoRR, 2018)

G2D: from GTA to Data. - Anh-Dzung Doan; Abdul Mohsi Jawaid; Thanh-Toan Do; Tat-Jun Chin (CoRR, 2018)

Practical Visual Localization for Autonomous Driving: Why Not Filter? - Anh-Dzung Doan; Thanh-Toan Do; Yasir Latif; Tat-Jun Chin; Ian D. Reid 001 (CoRR, 2018)

Visual Localization under Appearance Change: A Filtering Approach. - Anh-Dzung Doan; Yasir Latif; Tat-Jun Chin; Yu Liu 029; Shin-Fang Ch'ng; Thanh-Toan Do; Ian D. Reid 001 (DICTA, 2019)

Scalable Place Recognition Under Appearance Change for Autonomous Driving. - Dzung A. Doan; Yasir Latif; Tat-Jun Chin; Yu Liu 029; Thanh-Toan Do; Ian D. Reid 001 (ICCV, 2019)

Outlier-Robust Manifold Pre-Integration for INS/GPS Fusion. - Shin-Fang Ch'ng; Alireza Khosravian; Anh-Dzung Doan; Tat-Jun Chin (IROS, 2019)

In defense of OSVOS. - Yu Liu 029; Yutong Dai 001; Anh-Dzung Doan; Lingqiao Liu; Ian D. Reid 001 (CoRR, 2019)

On-Device Scalable Image-Based Localization via Prioritized Cascade Search and Fast One-Many RANSAC. - Ngoc-Trung Tran; Dang-Khoa Le Tan; Anh-Dzung Doan; Thanh-Toan Do; Tuan-Anh Bui; Mengxuan Tan; Ngai-Man Cheung (IEEE Trans. Image Process., 2019)

SPRINT: Subgraph Place Recognition for INtelligent Transportation. - Yasir Latif; Anh-Dzung Doan; Tat-Jun Chin; Ian Reid 001 (ICRA, 2020)

HM4: Hidden Markov Model with Memory Management for Visual Place Recognition. - Anh-Dzung Doan; Yasir Latif; Tat-Jun Chin; Ian D. Reid 001 (CoRR, 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)

Learning to Predict Repeatability of Interest Points. - Anh-Dzung Doan; Daniyar Turmukhambetov; Yasir Latif; Tat-Jun Chin; Soohyun Bae (ICRA, 2021)

Robotic Vision for Space Mining. - Ragav Sachdeva; Ravi Hammond; James Bockman; Alec Arthur; Brandon Smart; Dustin Craggs; Anh-Dzung Doan; Thomas Rowntree; Elijah Schutz; Adrian Orenstein; Andy Yu; Tat-Jun Chin; et al. (CoRR, 2021)

Visual localization under appearance change: filtering approaches. - Anh-Dzung Doan; Yasir Latif; Tat-Jun Chin; Yu Liu 029; Shin-Fang Ch'ng; Thanh-Toan Do; Ian Reid 001 (Neural Comput. Appl., 2021)

HM⁴: Hidden Markov Model With Memory Management for Visual Place Recognition. - Anh-Dzung Doan; Yasir Latif; Tat-Jun Chin; Ian D. Reid 001 (IEEE Robotics Autom. Lett., 2021)

A Hybrid Quantum-Classical Algorithm for Robust Fitting. - Anh-Dzung Doan; Michele Sasdelli; David Suter; Tat-Jun Chin (CVPR, 2022)

Autonomy and Perception for Space Mining. - Ragav Sachdeva; Ravi Hammond; James Bockman; Alec Arthur; Brandon Smart; Dustin Craggs; Anh-Dzung Doan; Thomas Rowntree; Elijah Schutz; Adrian Orenstein; Andy Yu; Tat-Jun Chin; et al. (ICRA, 2022)

Sensor Allocation and Online-Learning-based Path Planning for Maritime Situational Awareness Enhancement: A Multi-Agent Approach. - Bach Long Nguyen; Anh-Dzung Doan; Tat-Jun Chin; Christophe Guettier; Estelle Parra; Ian D. Reid 001; Markus Wagner 007 (CoRR, 2023)

Domain Adaptation for Satellite-Borne Hyperspectral Cloud Detection. - Andrew Du; Anh-Dzung Doan; Yee Wei Law; Tat-Jun Chin (CoRR, 2023)

Slack-Free Spiking Neural Network Formulation for Hypergraph Minimum Vertex Cover. - Tam Nguyen; Anh-Dzung Doan; Zhipeng Cai; Tat-Jun Chin (NeurIPS, 2024)

Weakly Supervised Test-Time Domain Adaptation for Object Detection. - Anh-Dzung Doan; Bach Long Nguyen; Terry Lim; Madhuka Jayawardhana; Surabhi Gupta; Christophe Guettier; Ian Reid 001; Markus Wagner 007; Tat-Jun Chin (CoRR, 2024)

TC-PDM: Temporally Consistent Patch Diffusion Models for Infrared-to-Visible Video Translation. - Anh-Dzung Doan; Vu Minh Hieu Phan; Surabhi Gupta; Markus Wagner 007; Tat-Jun Chin; Ian Reid 001 (CoRR, 2024)

Simultaneous Diffusion Sampling for Conditional LiDAR Generation. - Ryan Faulkner 002; Luke Haub; Simon Ratcliffe; Anh-Dzung Doan; Ian D. Reid 001; Tat-Jun Chin (CoRR, 2024)

Assessing domain gap for continual domain adaptation in object detection. - Anh-Dzung Doan; Bach Long Nguyen; Surabhi Gupta; Ian Reid 001; Markus Wagner 007; Tat-Jun Chin (Comput. Vis. Image Underst., 2024)

Domain Adaptation for Satellite-Borne Multispectral Cloud Detection. - Andrew Du; Anh-Dzung Doan; Yee Wei Law; Tat-Jun Chin (Remote. Sens., 2024)

Sensor Allocation and Online-Learning-Based Path Planning for Maritime Situational Awareness Enhancement: A Multi-Agent Approach. - Bach Long Nguyen; Anh-Dzung Doan; Tat-Jun Chin; Christophe Guettier; Surabhi Gupta; Estelle Parra; Ian D. Reid 001; Markus Wagner 007 (IEEE Trans. Intell. Transp. Syst., 2024)