Tuan-Anh Vu
I'm currently a Postdoctoral Researcher at UCLA SCI Lab led by Prof. M. Khalid Jawed. I obtained my PhD in Computer Science and Engineering at The Hong Kong University of Science and Technology (HKUST) in 2024, advised by Prof. Sai-Kit Yeung. Previously, I was a member of Computer Vision and Image Processing Lab under the supervision of Dr. Ha Viet Uyen Synh and also Research Assistant in the School of Computer Science and Engineering, International University - Vietnam National University Ho Chi Minh City.
I am very grateful to be a recipient of the A*STAR Research Attachment Programme (ARAP), which supports my research for 2 years at Centre for Frontier AI Research, A*STAR. During this time, I am very fortunate to work and be mentored by Prof. Qing Guo and Prof. Ivor W. Tsang.
My recent research focuses on Robot Perception and Navigation, Deep Learning, 3D Reconstruction, Scene Understanding, Shape Analysis, and Geometry Processing. Currently, I have a pleasure of working with Prof. Duc Thanh Nguyen, Prof. Binh-Son Hua, Dr. Quang-Hieu Pham, and Prof. Zhiyuan Zhang.
Check my lastest CV, Google Scholar and PhD dissertation for more details.
🔥 News
- Dec 2025: 🚀 We are organizing the CV4Animals: Computer Vision for Animal Behavior Tracking and Modeling Workshop (CVPR 2026).
- Nov 2025: 🎉 Two papers accepted to AAAI 2026 (one Oral 🎤 ) and one paper accepted to WACV 2026.
- Nov 2025: 🚀 Serving as an Area Chair at ICASSP 2026
- Feb 2025: 🚀 Started Postdoc at UCLA.
- Nov 2024: 🎯 Finished almost two years at CFAR, A*STAR.
- Oct 2024: 🎓 Finished my Ph.D. journey at HKUST.
- Dec 2022: 🎉 Awarded the ARAP Award by A*STAR, Singapore.
🐣 🐥 🐓 Mentees
I have been grateful to work with the following mentees:
- Graduate Students:
- Artificial Intelligence at UCLA: Gyusam Chang (Visiting Ph.D. from Korea University), Jaehwan Jeong (Visiting Ph.D. from Korea University)
- Mechanical Engineering at UCLA: Xiaoyang "Tony" Zhao (Master)
- Undergraduate Students at UCLA:
- Computer Science: Harris Song, Vivek Alumootil, Angela Yang, Aaditya Raj, Kevin Yao
- Math & Programming: Menghui "Evelyn" Zhu
- Data Theory & GIS: Russell Luo
- Computer Engineering: Darren Chin
- Mechanical Engineering: Deanna Pham, Sanjith Menon, Mehmet Arif Bacaksizlar
📑 Selected Publications
* denotes equal contribution, † denotes guidance role for juniors, # denotes corresponding author
🏃 ⏳ 🏞️ 3D & 4D Scene Understanding
Focus: dynamic geometry, point clouds, tracking, reconstruction, neural fields / Gaussian splatting
New! Reconstruction Using the Invisible: Intuition from NIR and Metadata for Enhanced 3D Gaussian Splatting
Gyusam Chang, Tuan-Anh Vu†, Vivek Alumootil, Harris Song, Deanna Pham, Sangpil Kim#, and M. Khalid Jawed#
The 40th Annual AAAI Conference on Artificial Intelligence, 2026
CVPR 2025 - 2nd Workshop on Neural Fields Beyond Conventional Cameras
Paper
Test-Time Augmentation for 3D Point Cloud Classification and Segmentation
Tuan-Anh Vu*, Srinjay Sarkar*, Zhiyuan Zhang#, Binh-Son Hua, and Sai-Kit Yeung
International Conference on 3D Vision (3DV 2024)
Project Page Paper (arxiv) Paper (IEEE)
RFNet-4D: Joint Object Reconstruction and Flow Estimation from 4D Point Clouds (Oral - acceptance rate of 2.7% of 5,803 submissions)
Tuan-Anh Vu, Duc-Thanh Nguyen, Binh-Son Hua, Quang-Hieu Pham, and Sai-Kit Yeung
European Conference on Computer Vision (ECCV), 2022
Project Page Paper Code Video Poster
DePT3R: Joint Dense Point Tracking and 3D Reconstruction of Dynamic Scenes in a Single Forward Pass
Vivek Alumootil, Tuan-Anh Vu†, and M. Khalid Jawed
Preprint, 2025
Paper
RFNet-4D++: Joint Object Reconstruction and Flow Estimation from 4D Point Clouds with Cross-Attention Spatio-Temporal Features
Tuan-Anh Vu, Duc-Thanh Nguyen, Binh-Son Hua, Quang-Hieu Pham, and Sai-Kit Yeung
Preprint, 2024
Paper
👁️🗨️ 🌊 🪸 Vision-Language, Marine Image Analysis, Video Understanding & Foundation Models
Focus: conditioning segmentation/recognition on language; marine instance understanding, retrieval, datasets, and marine-focused VLM/LLM directions.
Vision-Aware Text Features in Referring Image Segmentation: From Object Understanding to Context Understanding
Hai Nguyen-Truong*, E-Ro Nguyen*, Tuan-Anh Vu#, Minh-Triet Tran, Binh-Son Hua, Sai-Kit Yeung
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2025
Project Page Paper
MarineInst: A Foundation Model for Marine Image Analysis with Instance Visual Description (Oral - acceptance rate of 2.3% of 8,585 submissions)
Ziqiang Zheng, Yiwei Chen, Huimin Zeng, Tuan-Anh Vu, Binh-Son Hua, and Sai-Kit Yeung
European Conference on Computer Vision (ECCV), 2024
Project Page Paper Supplementary Code Dataset
MarineVRS: Marine Video Retrieval System with Explainability via Semantic Understanding (Oral)
Tan-Sang Ha*, Hai Nguyen-Truong*, Tuan-Anh Vu†, and Sai-Kit Yeung
OCEANS 2023, Limerick
Project Page Paper (arxiv) Paper (IEEE)
Marine Video Kit: A New Marine Video Dataset for Content-based Analysis and Retrieval (Oral)
Quang-Trung Truong, Tuan-Anh Vu, Tan-Sang Ha, Lokoc Jakub, Yue Him Wong Tim, Ajay Joneja, and Sai-Kit Yeung
29th International Conference on Multimedia Modeling (MMM), 2023
Project Page Paper (arxiv) Paper (Springer) Code
Exploring Boundary of GPT-4V on Marine Analysis: A Preliminary Case Study
Ziqiang Zheng, Yiwei Chen, Jipeng Zhang, Tuan-Anh Vu, Huimin Zeng, Yue Him Wong Tim, and Sai-Kit Yeung
Preprint, 2024
Paper (arxiv) Code
MarineGPT: Unlocking Secrets of Ocean to the Public
Ziqiang Zheng, Jipeng Zhang, Tuan-Anh Vu, Shizhe Diao, Yue Him Wong Tim, and Sai-Kit Yeung
Preprint, 2023
Project Page Paper (arxiv) Code
🕵🏻 🪞 🦎 Robust Perception in Challenging Visual Phenomena
Focus: transparency/reflectance cues, camouflage, and “hidden” targets under adverse visibility.
New! Power of Boundary and Reflection: Semantic Transparent Object Segmentation using Pyramid Vision Transformer with Transparent Cues
Tuan-Anh Vu, Hai Nguyen-Truong, Ziqiang Zheng, Binh-Son Hua, Qing Guo, Ivor W. Tsang, and Sai-Kit Yeung
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2026
Project Page Paper and Supplementary
HiddenObject: Modality Agnostic Fusion for Multimodal Hidden Object Detection
Harris Song*, Tuan-Anh Vu*†, Sanjith Menon, Sriram Narasimhan, and M. Khalid Jawed
Preprint, 2025
Paper Project Page
A Large-Scale Video Dataset for Moving Camouflaged Animals Understanding
Tuan-Anh Vu, Zheng Ziqiang, Chengyang Song, Qing Guo, Ivor Tsang, and Sai-Kit Yeung
Preprint, 2024
CVPR 2025 CV4Animals Workshop (Oral with Travel Award)
Project Page
Catch Me If You Can Describe Me: Open-Vocabulary Camouflaged Instance Segmentation with Diffusion
Tuan-Anh Vu, Duc Thanh Nguyen, Qing Guo, Binh-Son Hua, Nhat Chung, Ivor W. Tsang, and Sai-Kit Yeung
Preprint, 2023
ECCV 2024 CV4Ecology workshop
Paper
🤖 🦾 🛡️ Autonomous Systems: Field Robotics, Multi-Agent Geometry, and Safe Vision-LLM Autonomy
Focus: perception + action in controlled/field environments; multi-modal data; multi-agent geometry; trustworthiness & security.
New! Exploiting Geometric Structures for Modeling Multi-Agent Behaviors: A New Thinking (Oral - acceptance rate of x.x% of 23,680 submissions)
Bohao Qu, Xiaofeng Cao, Bing Li, Menglin Zhang, Tuan-Anh Vu, Di Lin, and Qing Guo
The 40th Annual AAAI Conference on Artificial Intelligence, 2026
Paper
AgriNav-Sim2Real: A Multi-Sensor Dataset and Lightweight VIO-SLAM for Drone Navigation in Greenhouse
Evelyn Zhu, Tuan-Anh Vu†, Russell Luo, Akshat Pandya, and M. Khalid Jawed
Preprint, 2025
Project Page
Vision-Guided Targeted Grasping and Vibration for Robotic Pollination in Controlled Environments
Jaehwan Jeong*, Tuan-Anh Vu*, Radha Lahoti, Vivek Alumootil, Sangpil Kim#, and M. Khalid Jawed#
Preprint, 2025
Paper Project Page
AgriChrono: A Multi-modal Dataset Capturing Crop Growth and Lighting Variability with a Field Robot
Jaehwan Jeong, Tuan-Anh Vu†, Mohammad Jony, Shahab Ahmad, Md Mukhlesur Rahman, Sangpil Kim#, and M. Khalid Jawed#
Preprint, 2025
Project Page Paper Code
Towards Transferable Attacks Against Vision-LLMs in Autonomous Driving with Typography
Nhat Chung, Sensen Gao, Tuan-Anh Vu, Jie Zhang, Aishan Liu, Yun Lin, Jin Song Dong, and Qing Guo
Preprint, 2024
Paper
🏠 🏡 🏯 Neural Stylization & Generative AI
Focus: neural style transfer and large-scale stylization of visual/3D environments; diffusion as a generative backbone.
StyleCity: Large-Scale 3D Urban Scenes Stylization
Yingshu Chen, Huajian Huang#, Tuan-Anh Vu, Ka Chun Shum, and Sai-Kit Yeung
European Conference on Computer Vision (ECCV), 2024
ECCV 2024 CV4Metaverse workshop (Oral)
Project Page Paper Supplementary
Time-of-Day Neural Style Transfer for Architectural Photographs (Oral)
Yingshu Chen, Tuan-Anh Vu, Ka-Chun Shum, Binh-Son Hua, and Sai-Kit Yeung
IEEE International Conference on Computational Photography (ICCP), 2022
Project Page Paper Code Video Poster
🎓 🎉 📜 Thesis, Dissertation
Robust Scene Understanding in Challenging Scenarios
Ph.D. Dissertation at HKUST
Tuan-Anh Vu
ECCV 2024 Doctoral Consortium, mentored by Prof. Leonidas Guibas
IEEE CAI 2024 Doctoral Consortium, mentored by Prof. Ivor W Tsang
IEEE/CVF WACV 2025 Doctoral Consortium, mentored by Prof. Richard Souvenir and Prof. Sharon X. Huang
Department Announcement Dissertation (Full) Dissertation (Compress)
Extend Traffic Signs Detection and Recognition Algorithm in Nighttime in Viet Nam
BSc Thesis at HCMIU-VNU
Tuan-Anh Vu
Thesis Video
👨💻 Professional Activities
- Area Chair: ICASSP (2026)
- Organizer: Computer Vision for Developing Countries (CV4DC) Workshop (ACCV 2024, ICCV 2025), CV4Animals: Computer Vision for Animal Behavior Tracking and Modeling Workshop (CVPR 2026)
- Conference Reviewer: CVPR (2022 - 2026), ICCV (2023 - 2025), ECCV (2022 - 2024), NeurIPS (2024 - 2025), ICLR (2025 - 2026), ICML (2025), AAAI (2025 - 2026), AISTATS (2025 - 2026), IJCAI (2025), WACV (2022 - 2026), ICRA (2025 - 2026), ACM MM (2025), ACCV (2022 - 2024), ICME (2023)
- Journal Reviewer: International Journal of Computer Vision, IEEE Transactions on Image Processing, IEEE Transactions on Multimedia, IEEE Transactions on Big Data, IEEE Robotics and Automation Letters, IEEE Transactions on Artificial Intelligence, Elsevier Expert Systems With Applications, Elsevier Neurocomputing, Elsevier ComputerAided Design, Elsevier Engineering Applications of Artificial Intelligence, IET Image Processing, Springer Visual Intelligence, PeerJ Computer Science, Vietnam Journal of Computer Science
🏅 Awards and Honors
- Doctoral Consortium with Travel Grant, IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2025, mentored mainly by Prof. Richard Souvenir and Prof. Sharon X. Huang
- UGC Research Travel Grant, The Hong Kong University of Science and Technology (for attending ECCV 2024)
- Doctoral Consortium, European Conference on Computer Vision (ECCV) 2024, mentored by Prof. Leonidas Guibas
- Doctoral Consortium, IEEE Conference on Artificial Intelligence (IEEE CAI) 2024, mentored by Prof. Ivor W Tsang
- ARAP Research Award (2023-2024), Centre for Frontier AI Research, A*STAR
- 2nd Place, USV-based Obstacle Segmentation Challenge at WACV 2024 the 2nd Workshop on Maritime Computer Vision
- 2nd Place, USV-based Obstacle Segmentation Challenge at WACV 2023 the 1st Workshop on Maritime Computer Vision
- UGC Research Travel Grant, The Hong Kong University of Science and Technology (for attending ECCV 2022)
- Travel Grant, EPFL CIS Edge AI Summer School 2022
- Best Poster Award, Machine Learning Summer School Indonesia (MLSS-Indo) 2020
- Postgraduate Scholarship (2019-2023), The Hong Kong University of Science and Technology
- Scholarship for SENG Summer Camp for Elite Students 2019, The Hong Kong University of Science and Technology
- Scholarship for Master by Research program in Information Technology (2017), International University - Vietnam National University HCMC
- Scholarship for Excellent Academic Performance (2014-2015), International University - Vietnam National University HCMC
👨💻 Experiences
Teaching Assistant, Department of Computer Science and Engineering, Hong Kong University of Science and Technology (2020 - 2024)
COMP 1021 - Introduction to Computer Science (2020), COMP2011 - Programming with C++ (2023), COMP 4431 - Multimedia Computing (2020, 2022), ISDN2300 - Introduction to 3D Design (2020, 2021, 2022), ISDN2400 - Physical Prototyping (2021), ISDN5300 - Advanced Digital Design (2022, 2023), CSIT6000L - Advanced Digital Design (2022), CSIT5940 - Advanced Digital Design (2023)
Research Assistant, School of Computer Science and Engineering, International University - Vietnam National University Ho Chi Minh City (2017 - 2018)
Mentors: Dr. Ha Viet-Uyen Synh, Dr. Long H. Pham
Teaching Assistant, School of Computer Science and Engineering, International University - Vietnam National University Ho Chi Minh City (2016 - 2018)
Digital Image Processing (2016-2017), Theoretical Models for Computing (2016-2018), Introduction to Artificial Intelligence (2016-2017), Principle of Programming Language (2016-2017)