Pin-Hung Kuo

I obtained my Ph.D. degree from the Graduate Institute of Electronics Engineering (GIEE), National Taiwan University, under the supervision of Prof. Shao-Yi Chien and Prof. Ming-Hsuan Yang. My research interests lie in deep learning and computer vision, with a particular emphasis on low-level vision problems. My doctoral work focused on unrolling-based architectures and efficient Transformer designs for image enhancement and restoration. I previously received my B.S. and M.S. degrees in Electrical Engineering and GIEE from National Taiwan University in 2009 and 2012, respectively.

Email / CV / Bio / Github

News

[June 2025] Our Concertormer is accepted by ICCV 2025!

Research

I'm interested in computer vision and deep learning. Some papers are highlighted.

	Efficient Concertormer for Image Deblurring and Beyond Pin-Hung Kuo, Jinshan Pan, Shao-Yi Chien, Ming-Hsuan Yang ICCV, 2025 Project Page / arXiv / GitHub
	Efficient Non-Blind Image Deblurring with Discriminative Shrinkage Deep Networks Pin-Hung Kuo, Jinshan Pan, Shao-Yi Chien, Ming-Hsuan Yang TCSVT, 2025 Project Page / IEEE Xplore / GitHub / bibtex
	Learning Discriminative Shrinkage Deep Networks for Image Deconvolution Pin-Hung Kuo, Jinshan Pan, Shao-Yi Chien, Ming-Hsuan Yang ECCV, 2022 Project Page / arXiv / supplement / GitHub / bibtex
	Distributed Video Codec With Spatiotemporal Side Information Yueh-Ying Lee, Pin-Hung Kuo, Chia-Han Lee, Yen-Kuang Chen, Shao-Yi Chien ISCAS, 2017 bibtex
	Automatic High Dynamic Range Hallucination in Inverse Tone Mapping Pin-Hung Kuo, Huai-Jen Liang, Chi-Sun Tang, Shao-Yi Chien MMSP, 2014 bibtex
	Content-Adaptive Inverse Tone Mapping Pin-Hung Kuo,Chi-Sun Tang, Shao-Yi Chien VCIP, 2012 bibtex

Updated May 2025. Template from Jon Barron