Han Yi

Hello! I am currently a first-year CS PhD student at the University of North Carolina at Chapel Hill (UNC), under the guidance of Prof. Gedas Bertasius. I completed my Master's degree at the National University of Singapore (NUS) in 2024. During my time at NUS, I also served as a research intern at the NExT++ Research Center, where I was advised by Prof. Tat-Seng Chua, Prof. Zhedong Zheng, and Prof. Xiangyu Xu.

I love basketball, football, rap music, and fitness.

Email  /  CV  /  Google Scholar  /  Github

profile photo

Research

I'm broadly interested in advanced Computer Vision and Multi-modal Learning, with a particular emphasis on generative AI for video and 3D content. I also specialize in developing and optimizing foundation models, including Large Language Models (LLMs) and Vision Language Models (VLMs), to enhance the understanding and generation of dynamic visual content.

clean-usnob Progressive Text-to-3D Generation for Automatic 3D Prototyping
Han Yi, Zhedong Zheng, Xiangyu Xu, Tat-seng Chua
arXiv, 2023

A progressive strategy that learns text-to-3D in a coarse-to-fine manner.

clean-usnob Image Deblurring With Image Blurring
Ziyao Li, Zhi Gao, Han Yi, Yu Fu, Boan Chen
IEEE Transactions on Image Processing (TIP), 2023

Proposed a novel motion deblurring framework using Blur Space Disentangled Network (BSDNet) and Hierarchical Scale-recurrent Deblurring Network (HSDNet) to effectively address real-world blur, achieving state-of-the-art results.

clean-usnob Single image deraindrop leveraging luminance priors and context aggregation
Yi Liu, Zhi Gao, Tiancan Mei, Han Yi
Neurocomputing, 2024

Developed a recurrent single-image deraindrop approach utilizing luminance priors and contextual feature aggregation, achieving superior performance in restoring color and texture consistency.

Services

Reviewer: ICLR 2025, ACM MM 2024 (Outstanding Reviewer Award)


This webpage is adapted from Jon Barron's page.