Trong Thang Pham

My name is Trong Thang Pham. I got my bachelor's degree in Computer Science at University of Science, VNU-HCM, Vietnam. Currently, I'm a PhD student at the University of Arkansas, Fayetteville under the supervision of Dr. Ngan Le. I used to work as a R&D researcher at AIOZ Singapore. I have published in top conferences, i.e. CVPR, ICCV, ACM MM, WACV, and ICRA and journals, i.e. Image and Vision Computing and Artificial Intelligence in Medicine.

Email:
- Personal: phamtrongthang123@gmail.com
- University of Arkansas: tp030@uark.edu

CV / Google Scholar / Twitter / Github / Linkedin

Research Interests

I am interested in human behavior in professional settings. How do professionals behave during high-stake decision tasks? What cognitive goals drive their behavioral patterns? My work combines computer vision, interpretable AI, and deep learning to develop new models to capture and mimic human behavior in workplace environments.

Publications

	CT-ScanGaze: A Dataset and Baselines for 3D Volumetric Scanpath Modeling Trong Thang Pham, Akash Awasthi, Saba Khan, Esteban Duran Marti, Tien-Phat Nguyen, Khoa Vo, Minh Tran, Ngoc Son Nguyen, Cuong Tran Van, Yuki Ikebe, Anh Totti Nguyen, Anh Nguyen, Zhigang Deng, Carol C. Wu, Hien Van Nguyen, Ngan Le IEEE/CVF International Conference on Computer Vision (ICCV) 2025 [Paper]
	Interpreting Radiologist's Intention from Eye Movements in Chest X-ray Diagnosis Trong Thang Pham, Anh Nguyen, Zhigang Deng, Carol C. Wu, Hien Van Nguyen, Ngan Le Proceedings of the ACM International Conference on Multimedia (ACMMM) (Oral 2025) [Paper]
	TolerantECG: A Foundation Model for Imperfect Electrocardiogram Huynh Nguyen Dang, Trong-Thang Pham, Ngan Le, Van Nguyen Proceedings of the ACM International Conference on Multimedia (ACMMM) 2025 [Paper]
	A2VIS: Amodal-Aware Approach to Video Instance Segmentation Trong Thang Pham, Minh Tran, Winston Bounsavy, Tri Nguyen, Ngan Le Image and Vision Computing, Elsevier, 2025 (Q1, IF 4.2) * same contribution [Paper]
	ItpCtrl-AI: End-to-end interpretable and controllable artificial intelligence by modeling radiologists' intentions Trong-Thang Pham, Jacob Brecheisen, Carol C. Wu, Hien Nguyen, Zhigang Deng, Donald Adjeroh, Gianfranco Doretto, Arabinda Choudhary, Ngan Le Artificial Intelligence in Medicine, Volume 160, February 2025 (Q1, IF 6.1) [Paper]
	GazeSearch: Radiology Findings Search Benchmark Trong Thang Pham,Tien-Phat Nguyen, Yuki Ikebe, Akash Awasthi, Zhigang Deng, Carol C. Wu, Hien Nguyen, Ngan Le IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (Oral 2025) [Paper]
	FG-CXR: A Radiologist-Aligned Gaze Dataset for Enhancing Interpretability in Chest X-Ray Report Generation Trong Thang Pham, Ngoc-Vuong Ho, Nhat-Tan Bui, Thinh Phan, Patel Brijesh, Donald Adjeroh, Gianfranco Doretto, Anh Nguyen, Carol C. Wu, Hien Nguyen, Ngan Le Asian Conference on Computer Vision (ACCV) (2024) [Paper]
	Open-Fusion: Real-time Open-Vocabulary 3D Mapping and Queryable Scene Representation. Yamazaki, Kashu, Taisei Hanyu, Khoa Vo, Trong Thang Pham, Minh Tran, Gianfranco Doretto, Anh Nguyen, and Ngan Le International Conference on Robotics and Automation (ICRA) [Paper]
	Decoding Radiologists Intense Focus for Accurate CXR Diagnoses: A Controllable and Interpretable AI System. Trong Thang Pham, Jacob Brecheisen, Anh Nguyen, Hien Nguyen, and Ngan Le IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024 [Paper]
	DNA: Deformable Neural Articulations Network for Template-Free Dynamic 3D Human Reconstruction From Monocular RGB-D Video. Vo, Khoa, Trong Thang Pham, Kashu Yamazaki, Minh Tran, and Ngan Le IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) 2023 [Paper]
	Music-Driven Group Choreography Le, Nhat, Trong Thang Pham, Tuong Do, Erman Tjiputra, Quang D. Tran, and Anh Nguyen IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2023 [Paper]
	EmbryosFormer: Deformable Transformer and Collaborative Encoding-Decoding for Embryos Stage Development Classification. Nguyen, Tien-Phat, Trong Thang Pham, Tri Nguyen, Hieu Le, Dung Nguyen, Hau Lam, Phong Nguyen, Jennifer Fowler, Minh-Triet Tran, and Ngan Le IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023 [Paper]
	HCMUS at Pixel Privacy 2020: Quality Camouflage with Back Propagation and Image Enhancement. Minh-Triet Tran, Tam V Nguyen, Trung-Hieu Hoang, Trung-Nghia Le, Khac-Tuan Nguyen, Dat-Thanh Dinh, Thanh-An Nguyen, Hai-Dang Nguyen, Xuan-Nhat Hoang, Trong-Tung Nguyen, Viet-Khoa Vo-Ho, Trong-Le Do, Lam Nguyen, Minh-Quan Le, Hoang-Phuc Nguyen-Dinh, Trong-Thang Pham, Xuan-Vy Nguyen, E-Ro Nguyen, Quoc-Cuong Tran, Hung Tran, Hieu Dao, Mai-Khiem Tran, Quang-Thuc Nguyen, Tien-Phat Nguyen, Gia-Han Diep, Minh N Do CVPRW , 2020 [Paper]
	HCMUS at Pixel Privacy 2020: Quality Camouflage with Back Propagation and Image Enhancement. Minh-Khoi Pham, Hai-Tuan Ho-Nguyen, Trong-Thang Pham, Hung Vinh Tran, Hai-Dang Nguyen, Minh-Triet Tran Pixel Privacy track at Multimedia Eval Workshop , 2020 [Paper]
	HCMUS at Pixel Privacy 2019: Scene Category Protection with Back Propagation and Image Enhancement Hung Vinh Tran, Trong-Thang Pham , Hai-Tuan Ho-Nguyen, Hoai-Lam Nguyen-Hy, Xuan-Vy Nguyen, Thang-Long Nguyen-Ho, Minh-Triet Tran Pixel Privacy track at Multimedia Eval Workshop , 2019 [Paper]

Professional Services

- Reviewer at The Annual Conference on Neural Information Processing Systems (NeurIPS) 2025
- Reviewer at The ACM International Conference on Multimedia (MM) 2025
- Reviewer at IEEE Transaction of Image Processing
- Reviewer at CVPR 2024 & 2025
- Reviewer at ECCV 2024
- Reviewer at AAAI 2025
- Reviewer at WACV 2025
- Reviewer at ACCV 2024
- Reviewer Cv4animals Workshop at CVPR 2024

Teaching Assistant

- CSCE 5613: Introduction to Artificial Intelligence, University of Arkansas

Other Awards and Achievements

- Doctoral Academy Fellowships award - University of Arkansas (2023-2027)
- Vietnam National Master/PhD Scholarship (VinIF 2021)
- Top 2 Eureka 2021 - Vietnam National Research Contest. (2021)
- Top 20 students contributed greatly to Vietnam AI Research (2021)

Website template from Jon Barron.