I am a PhD candidate at the Australian Institute for Machine Learning (AIML), Adelaide University, advised by Prof. Minh Hoai and Prof. Tat-Jun Chin. Before starting my PhD, I worked as an AI Engineer at Vingroup, where I developed in-cabin Driver Monitoring Systems. I received my bachelor’s degree from the Posts and Telecommunications Institute of Technology (PTIT) in 2023.
My research interests lie in human motion understanding, with a recent focus on wearable inertial sensing. I am particularly interested in making IMU signals more interpretable by bridging them with human-understandable representations of movement and behavior.
@InProceedings{nguyen2026mobind,
author = {Nguyen, Duc Duy and Chin, Tat-Jun and Hoai, Minh},
title = {MoBind: Motion Binding for Fine-Grained IMU--Video Pose Alignment},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
year = {2026},
}
@article{duc_caracount_tpami_2025,
author={Nguyen, Duc Duy and Nguyen, Lam Thanh and Huang, Yifeng and Pham, Cuong and Hoai, Minh},
journal={IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)},
title={Class-Agnostic Repetitive Action Counting Using Wearable Devices},
year={2025},
volume={47},
number={6}}
@inproceedings{yifeng_exrac_aaai_2024,
title={Count What You Want: Exemplar Identification and Few-Shot Counting of Human Actions in the Wild},
author={Huang, Yifeng and Nguyen, Duc Duy and Nguyen, Lam and Pham, Cuong and Hoai, Minh},
booktitle={Proceedings of AAAI Conference on Artificial Intelligence (AAAI)},
year={2024}}
}