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Assessing Domain Gap for Continual Domain Adaptation in Object Detection


Feb 21, 2023
Anh-Dzung Doan, Bach Long Nguyen, Surabhi Gupta, Ian Reid, Markus Wagner, Tat-Jun Chin

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* Submitted to CVIU 

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A Hybrid Quantum-Classical Algorithm for Robust Fitting


Jan 31, 2022
Anh-Dzung Doan, Michele Sasdelli, David Suter, Tat-Jun Chin

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Robotic Vision for Space Mining


Sep 30, 2021
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 Reid

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* This paper describes our 3rd place and innovation award winning solution to the NASA Space Robotics Challenge Phase 2 

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Learning to Predict Repeatability of Interest Points


May 08, 2021
Anh-Dzung Doan, Daniyar Turmukhambetov, Yasir Latif, Tat-Jun Chin, Soohyun Bae

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* Accepted at IEEE International Conference on Robotics and Automation (ICRA) 2021 

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


Nov 01, 2020
Anh-Dzung Doan, Yasir Latif, Tat-Jun Chin, Ian Reid

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* Accepted for publication by IEEE Robotics and Automation Letters 

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In defense of OSVOS


Aug 20, 2019
Yu Liu, Yutong Dai, Anh-Dzung Doan, Lingqiao Liu, Ian Reid

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Scalable Place Recognition Under Appearance Change for Autonomous Driving


Aug 01, 2019
Anh-Dzung Doan, Yasir Latif, Tat-Jun Chin, Yu Liu, Thanh-Toan Do, Ian Reid

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* International Conference on Computer Vision (ICCV), 2019 (Oral) 

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Practical Visual Localization for Autonomous Driving: Why Not Filter?


Nov 20, 2018
Anh-Dzung Doan, Thanh-Toan Do, Yasir Latif, Tat-Jun Chin, Ian Reid

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G2D: from GTA to Data


Jun 16, 2018
Anh-Dzung Doan, Abdul Mohsi Jawaid, Thanh-Toan Do, Tat-Jun Chin

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* 9 pages, 6 figures, 2 tables 

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