Bang-Dang Pham

Hi, I am currently a second-year PhD student at University of Wisconsin-Madison. Previously, I was an AI Research Resident under the supervision of Prof. Minh Hoai, Prof. Cuong Pham and Dr. Tuan Anh Tran at VinAI Research, Vietnam.

Before that, I received my Bachelor of Computer Science from Ho Chi Minh City University of Science (HCMUS) in Vietnam under supervision of Dr. Ngoc-Thao Nguyen and Prof. Minh-Triet Tran .

My past research interests have included applications of Computer Vision, Image Deblurring Model and I am now focusing on Generative Models and 3D Reconstruction.

I am currently seeking an internship opportunity for the Summer of 2026 to contribute to projects in these areas.

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Introduces a novel unpaired reference based deblurring framework for camera specific image restoration, eliminating the need for controlled data collection or paired supervision. The method leverages an iterative dense matching training strategy to construct high quality pseudo groundtruth, enabling robust generalization across diverse real world blur scenarios.

The paper introduces a novel framework to train camera-specific image deblurring algorithms by transforming challenging real blurry images into known blur-kernel only using unpaired data, simplifying the deblurring process and demonstrating superior performance in benchmarks.

Our work tackles image-to-video deblurring, resolving sequence order ambiguity using a self-supervised method. We also introduce a diverse real blur2vid image dataset (RB2V) for this task, covering domains like faces, hands, and streets.

●   [May. 2025]   I am thrilled to join Sony as a Research Intern in the R&D Lab to work on Gallery-based Image Restoration.

●   [Aug. 2024]   Officially join University of Wisconsin-Madison as a PhD student.

●   [Feb. 2024]   One paper "Blur2Blur: Blur Conversion for Unsupervised Image Deblurring on Unknown Domains" got accepted to IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024)

●   [Feb. 2023]   One paper "HyperCUT: Video Sequence from a Single Blurry Image using Unsupervised Ordering" got accepted to IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2023)

●   [Dec. 2022]   I received my Excellent B.Sc. degree in Computer Science (among top 1% students, GPA: 3.9/4.0) at University Of Science, VNU-HCMC. .

●   [Jul. 2022]   Officially join VinAI Research, Vietnam as Research Resident.

• CS Departmental Scholarship, University of Wisconsin - Madison.
• 1st Prize in SHREC’22 Track: Open-Set 3D Object Retrieval - 2022.
• Distinctive Mention in MediaEval 2021 Workshop Program - 2021.
• 1st Prize in Visual Sentiment Analysis of MediaEval 2021.
• 1st Prize in 3D Shape Retrieval Challenge (SHREC’21) - 2021.
• 1st Prize in Sports Video Classification of MediaEval 2020.
• Excellent Young Research Award at VANJ 2020 Conference - 2020.
• Top 10th at AI4VN - 2020.
• Top 3rd at Emotion Recognition Competition - 2019
• Top 5th at Zalo AI Hackathon - 2019
• 2nd Prize in Informatics Olympic Contest for Student - 2019.
• 2nd Prize in National Master of Ceremonies Contest - 2019.
• 3rd Prize in Informatics Olympic Contest for Student - 2018.

• Conferences: CVPR, ICCV, ECCV, NeurIPS, ACMMM, WACV (2024–2025)
• Journals: IEEE TPAMI, IJCV, CVIU, Pattern Recognition, Neural Networks (2024–2025)