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2020 – today
- 2024
[j5]Anh-Dzung Doan
, Bach Long Nguyen, Surabhi Gupta, Ian Reid, Markus Wagner, Tat-Jun Chin:
Assessing domain gap for continual domain adaptation in object detection. Comput. Vis. Image Underst. 238: 103885 (2024)- 2023
- [i15]Anh-Dzung Doan, Bach Long Nguyen, Surabhi Gupta, Ian D. Reid, Markus Wagner, Tat-Jun Chin:
Assessing Domain Gap for Continual Domain Adaptation in Object Detection. CoRR abs/2302.10396 (2023) - [i14]Bach Long Nguyen, Anh-Dzung Doan, Tat-Jun Chin, Christophe Guettier, Estelle Parra, Ian D. Reid, Markus Wagner:
Sensor Allocation and Online-Learning-based Path Planning for Maritime Situational Awareness Enhancement: A Multi-Agent Approach. CoRR abs/2307.02790 (2023) - [i13]Andrew Du, Anh-Dzung Doan, Yee Wei Law, Tat-Jun Chin:
Domain Adaptation for Satellite-Borne Hyperspectral Cloud Detection. CoRR abs/2309.02150 (2023) - 2022
- [c11]Anh-Dzung Doan, Michele Sasdelli, David Suter, Tat-Jun Chin:
A Hybrid Quantum-Classical Algorithm for Robust Fitting. CVPR 2022: 417-427 - [c10]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:
Autonomy and Perception for Space Mining. ICRA 2022: 4087-4093 - [i12]Anh-Dzung Doan, Michele Sasdelli, David Suter, Tat-Jun Chin:
A Hybrid Quantum-Classical Algorithm for Robust Fitting. CoRR abs/2201.10110 (2022) - 2021
- [j4]Anh-Dzung Doan, Yasir Latif, Tat-Jun Chin, Yu Liu, Shin-Fang Ch'ng, Thanh-Toan Do, Ian Reid:
Visual localization under appearance change: filtering approaches. Neural Comput. Appl. 33(13): 7325-7338 (2021) - [j3]Anh-Dzung Doan, Yasir Latif, Tat-Jun Chin, Ian D. Reid:
HM⁴: Hidden Markov Model With Memory Management for Visual Place Recognition. IEEE Robotics Autom. Lett. 6(1): 167-174 (2021) - [c9]Anh-Dzung Doan, Daniyar Turmukhambetov, Yasir Latif, Tat-Jun Chin, Soohyun Bae:
Learning to Predict Repeatability of Interest Points. ICRA 2021: 10294-10301 - [i11]Anh-Dzung Doan, Daniyar Turmukhambetov, Yasir Latif, Tat-Jun Chin, Soohyun Bae:
Learning to Predict Repeatability of Interest Points. CoRR abs/2105.03578 (2021) - [i10]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:
Robotic Vision for Space Mining. CoRR abs/2109.12109 (2021) - 2020
- [j2]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) - [c8]Yasir Latif, Anh-Dzung Doan, Tat-Jun Chin, Ian Reid:
SPRINT: Subgraph Place Recognition for INtelligent Transportation. ICRA 2020: 5408-5414 - [i9]Anh-Dzung Doan, Yasir Latif, Tat-Jun Chin, Ian D. Reid:
HM4: Hidden Markov Model with Memory Management for Visual Place Recognition. CoRR abs/2011.00450 (2020)
2010 – 2019
- 2019
- [j1]Ngoc-Trung Tran, Dang-Khoa Le Tan, Anh-Dzung Doan, Thanh-Toan Do, Tuan-Anh Bui, Mengxuan Tan, Ngai-Man Cheung:
On-Device Scalable Image-Based Localization via Prioritized Cascade Search and Fast One-Many RANSAC. IEEE Trans. Image Process. 28(4): 1675-1690 (2019) - [c7]Anh-Dzung Doan, Yasir Latif, Tat-Jun Chin, Yu Liu, Shin-Fang Ch'ng, Thanh-Toan Do, Ian D. Reid:
Visual Localization under Appearance Change: A Filtering Approach. DICTA 2019: 1-8 - [c6]Dzung A. Doan, Yasir Latif, Tat-Jun Chin, Yu Liu, Thanh-Toan Do, Ian D. Reid:
Scalable Place Recognition Under Appearance Change for Autonomous Driving. ICCV 2019: 9318-9327 - [c5]Shin-Fang Ch'ng, Alireza Khosravian, Anh-Dzung Doan, Tat-Jun Chin:
Outlier-Robust Manifold Pre-Integration for INS/GPS Fusion. IROS 2019: 7489-7496 - [i8]Anh-Dzung Doan, Yasir Latif, Tat-Jun Chin, Yu Liu, Thanh-Toan Do, Ian D. Reid:
Scalable Place Recognition Under Appearance Change for Autonomous Driving. CoRR abs/1908.00178 (2019) - [i7]Yu Liu, Yutong Dai, Anh-Dzung Doan, Lingqiao Liu, Ian D. Reid:
In defense of OSVOS. CoRR abs/1908.06692 (2019) - 2018
- [i6]Ngoc-Trung Tran, Dang-Khoa Le Tan, Anh-Dzung Doan, Thanh-Toan Do, Tuan-Anh Bui, Ngai-Man Cheung:
On-device Scalable Image-based Localization. CoRR abs/1802.03510 (2018) - [i5]Anh-Dzung Doan, Abdul Mohsi Jawaid, Thanh-Toan Do, Tat-Jun Chin:
G2D: from GTA to Data. CoRR abs/1806.07381 (2018) - [i4]Anh-Dzung Doan, Thanh-Toan Do, Yasir Latif, Tat-Jun Chin, Ian D. Reid:
Practical Visual Localization for Autonomous Driving: Why Not Filter? CoRR abs/1811.08063 (2018) - 2016
- [c4]Thanh-Toan Do, Anh-Dzung Doan, Ngai-Man Cheung:
Learning to Hash with Binary Deep Neural Network. ECCV (5) 2016: 219-234 - [c3]Thanh-Toan Do, Anh-Dzung Doan, Duc Thanh Nguyen, Ngai-Man Cheung:
Binary Hashing with Semidefinite Relaxation and Augmented Lagrangian. ECCV (2) 2016: 802-817 - [i3]Thanh-Toan Do, Anh-Zung Doan, Ngai-Man Cheung:
Learning to Hash with Binary Deep Neural Network. CoRR abs/1607.05140 (2016) - [i2]Thanh-Toan Do, Anh-Dzung Doan, Duc Thanh Nguyen, Ngai-Man Cheung:
Binary Hashing with Semidefinite Relaxation and Augmented Lagrangian. CoRR abs/1607.05396 (2016) - 2015
- [i1]Thanh-Toan Do, Anh-Zung Doan, Ngai-Man Cheung:
Discrete Hashing with Deep Neural Network. CoRR abs/1508.07148 (2015) - 2013
- [c2]Dung A. Doan, Ngoc-Trung Tran, Dinh-Phong Vo, Bac Le, Atsuo Yoshitaka:
Combining Descriptors Extracted from Feature Maps of Deconvolutional Networks and SIFT Descriptors in Scene Image Classification. ICCSA (5) 2013: 321-331 - [c1]Dung A. Doan, Ngoc-Trung Tran, Dinh-Phong Vo, Bac Le:
Learned and designed features for sparse coding in image classification. RIVF 2013: 237-241
Coauthor Index
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