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Anh-Dzung Doan

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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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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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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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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