I am a Ph.D. student in Computer Science at Stony Brook University, advised by Prof. Minh Hoai Nguyen in the Computer Vision Lab, where I also completed my Master's degree. As an undergraduate, I received my B.Eng (Honors) in Mathematics and Informatics at Hanoi University of Science and Technology in 2018.
My primary research spans Computer Vision and Machine Learning, with a focus on hand and hand-held object representation and interaction, video object/instance segmentation and tracking, and their applications in Extended Reality (AR/VR/MR).
For a more detailed overview of my projects and experiences, check out my [CV].
For any inquiries, feel free to reach out to me via ahunguyen [at] cs [dot] stonybrook.edu ✌️!
News
- Mar 2026 Our paper Detecting Precise Hand Touch Moments in Egocentric Video is accepted to CVPR 2026 Findings! Our model precisely detects the first moment of touch within less than 2 frames tolerance from egocentric videos. More details to come soon. Very excited!
- Feb 2026 Our paper PsychAdapter is accepted to npj Artificial Intelligence 2026! A collaboration with Huy Vu, Prof. Andy Schwartz, and Johannes Eichstaedt on adapting LLMs to generate text reflecting personality traits and mental health.
- Mar 2024 Created my personal website after tremendous encouragements from Varun Belagali, my labmate. Otherwise he will beat me up!
- Feb 2024 Our work on identifying, segmenting, and tracking hand-held objects is accepted to CVPR 2024. Hello Seattle!
- Dec 2023 Attended NeurIPS 2023, New Orleans - my first in-person conference. It was an awesome experience to meet and discuss with many researchers in the field.
- Aug 2023 Successfully defended my Master's thesis on "Hand-held Object Segmentation and Tracking".
Excited to continue my journey as a Ph.D. student at Stony Brook University! - Dec 2021 Joined Computer Vision Lab.
- Jan 2021 Joined Stony Brook University as a Master's student in Computer Science.
Publications & Preprints
Detecting Precise Hand Touch Moments in Egocentric Video
Huy Anh Nguyen, Feras Dayoub, Minh HoaiCVPR 2026
PsychAdapter: Adapting LLMs to Reflect Traits, Personality, and Mental Health
Huy Vu, Huy Anh Nguyen, Adithya V Ganesan, Swanie Juhng, Oscar NE Kjell, Joao Sedoc, Margaret L Kern, Ryan L Boyd, Lyle Ungar, H Andrew Schwartz, Johannes C Eichstaedtnpj AI 2026
[Page]
@Article{vu_psychadapter_2026,
author = {Huy Vu and Huy Anh Nguyen and Adithya V Ganesan and Swanie Juhng and Oscar NE Kjell and Joao Sedoc and Margaret L Kern and Ryan L Boyd and Lyle Ungar and H Andrew Schwartz and Johannes C Eichstaedt},
title = {PsychAdapter: Adapting LLMs to Reflect Traits, Personality, and Mental Health},
journal = {npj Artificial Intelligence},
year = {2026},
volume = {2},
number = {1},
pages = {26},
publisher = {Nature Publishing Group UK},
}
HOIST-Former: Hand-held Objects Identification, Segmentation, and Tracking in the Wild
Supreeth Narasimhaswamy, Huy Anh Nguyen, Lihan Huang, Minh HoaiCVPR 2024
[Page] [Code] [Data]
@InProceedings{sn_hoist_cvpr_2024,
author = {Supreeth Narasimhaswamy and Huy Anh Nguyen and Lihan Huang and Minh Hoai},
title = {HOIST-Former: Hand-held Objects Identification, Segmentation, and Tracking in the Wild},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
year = {2024},
}
Attentive RNN for HS Code Hierarchy Classification on Vietnamese Goods Declaration
Nguyen Thanh Binh, Huy Anh Nguyen, Pham Ngoc Linh, Nguyen Linh Giang, Tran Ngoc ThangICISN 2021
@InProceedings{han_icisn_2021,
author={Nguyen Thanh Binh and Huy Anh Nguyen and Pham Ngoc Linh and Nguyen Linh Giang and Tran Ngoc Thang},
title={Attentive RNN for HS Code Hierarchy Classification on Vietnamese Goods Declaration},
booktitle={Intelligent Systems and Networks (ICISN)},
year={2021},
publisher={Springer Singapore},
address={Singapore},
pages={298--304},
}