Anh-Dzung Doan

According to our database, Anh-Dzung Doan authored at least 29 papers between 2013 and 2024.

Collaborative distances:

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

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, Markus Wagner

IEEE Trans. Intell. Transp. Syst., September, 2024

Domain Adaptation for Satellite-Borne Multispectral Cloud Detection.

Andrew Du, Anh-Dzung Doan, Yee Wei Law, Tat-Jun Chin

Remote. Sens., September, 2024

Assessing domain gap for continual domain adaptation in object detection.

Anh-Dzung Doan, Bach Long Nguyen, Surabhi Gupta, Ian Reid, Markus Wagner, Tat-Jun Chin

Comput. Vis. Image Underst., January, 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, Tat-Jun Chin, Ian Reid

CoRR, 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, Markus Wagner, Tat-Jun Chin

CoRR, 2024

2023

Domain Adaptation for Satellite-Borne Hyperspectral Cloud Detection.

Andrew Du, Anh-Dzung Doan, Yee Wei Law, Tat-Jun Chin

CoRR, 2023

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, Markus Wagner

CoRR, 2023

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, Ian D. Reid

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

A Hybrid Quantum-Classical Algorithm for Robust Fitting.

Anh-Dzung Doan, Michele Sasdelli, David Suter, Tat-Jun Chin

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

HM⁴: Hidden Markov Model With Memory Management for Visual Place Recognition.

Anh-Dzung Doan, Yasir Latif, Tat-Jun Chin, Ian D. Reid

IEEE Robotics Autom. Lett., 2021

Visual localization under appearance change: filtering approaches.

Anh-Dzung Doan, Yasir Latif, Tat-Jun Chin, Yu Liu, Shin-Fang Ch'ng, Thanh-Toan Do, Ian Reid

Neural Comput. Appl., 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, Ian D. Reid

CoRR, 2021

Learning to Predict Repeatability of Interest Points.

Anh-Dzung Doan, Daniyar Turmukhambetov, Yasir Latif, Tat-Jun Chin, Soohyun Bae

Proceedings of the IEEE International Conference on Robotics and Automation, 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

HM4: Hidden Markov Model with Memory Management for Visual Place Recognition.

Anh-Dzung Doan, Yasir Latif, Tat-Jun Chin, Ian D. Reid

CoRR, 2020

SPRINT: Subgraph Place Recognition for INtelligent Transportation.

Yasir Latif, Anh-Dzung Doan, Tat-Jun Chin, Ian Reid

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

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

In defense of OSVOS.

Yu Liu, Yutong Dai, Anh-Dzung Doan, Lingqiao Liu, Ian D. Reid

CoRR, 2019

Outlier-Robust Manifold Pre-Integration for INS/GPS Fusion.

Shin-Fang Ch'ng, Alireza Khosravian, Anh-Dzung Doan, Tat-Jun Chin

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Scalable Place Recognition Under Appearance Change for Autonomous Driving.

Dzung A. Doan, Yasir Latif, Tat-Jun Chin, Yu Liu, Thanh-Toan Do, Ian D. Reid

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

Visual Localization under Appearance Change: A Filtering Approach.

Anh-Dzung Doan, Yasir Latif, Tat-Jun Chin, Yu Liu, Shin-Fang Ch'ng, Thanh-Toan Do, Ian D. Reid

Proceedings of the 2019 Digital Image Computing: Techniques and Applications, 2019

2018

Practical Visual Localization for Autonomous Driving: Why Not Filter?

Anh-Dzung Doan, Thanh-Toan Do, Yasir Latif, Tat-Jun Chin, Ian D. Reid

CoRR, 2018

G2D: from GTA to Data.

Anh-Dzung Doan, Abdul Mohsi Jawaid, Thanh-Toan Do, Tat-Jun Chin

CoRR, 2018

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

2016

Binary Hashing with Semidefinite Relaxation and Augmented Lagrangian.

Thanh-Toan Do, Anh-Dzung Doan, Duc Thanh Nguyen, Ngai-Man Cheung

Proceedings of the Computer Vision - ECCV 2016, 2016

Learning to Hash with Binary Deep Neural Network.

Thanh-Toan Do, Anh-Dzung Doan, Ngai-Man Cheung

Proceedings of the Computer Vision - ECCV 2016, 2016

2015

Discrete Hashing with Deep Neural Network.

Thanh-Toan Do, Anh-Zung Doan, Ngai-Man Cheung

CoRR, 2015

2013

Learned and designed features for sparse coding in image classification.

Dung A. Doan, Ngoc-Trung Tran, Dinh-Phong Vo, Bac Le

Proceedings of the 2013 IEEE RIVF International Conference on Computing and Communication Technologies, 2013

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

Proceedings of the Computational Science and Its Applications - ICCSA 2013, 2013