Bang-Dang Pham

Hi, I am currently a first-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 2025 to contribute to projects in these areas.

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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.

●   [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.

• 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.

This repository setting is inherited from John Barron