Dr. Yue Cao | Image Processing | Best Researcher Award Posted on 16/08/202416/08/2024 by ScienceFather Dr. Yue Cao | Image Processing | Best Researcher Award Doctorate at Harbin Institute of Technology, China Profile Google Scholar Summary Yue Cao is a Ph.D. candidate at Harbin Institute of Technology, specializing in computational imaging. His work focuses on noise modeling and image enhancement in extreme low-light conditions, making significant strides in sensor technology and image processing. Education Ph.D., Computer Application Technology (Sep. 2020 – Present), Harbin Institute of Technology M.S., Computer Software and Theory (Sep. 2017 – Aug. 2020), Shaanxi Normal University B.S., Software Engineering (Sep. 2010 – Aug. 2014), Inner Mongolia University Internship Experience Industry-Academia-Research Project Intern OPPO Research Institute, Shenzhen Feb. 2023 – Feb. 2024 (estimated) Engaged in noise modeling and parameter calibration of mobile phone sensors, as well as joint denoising, demosaicking, and super-resolution tasks in extremely low-light conditions related to smartphone sensor technology. Selected Awards 2020: Winner Award, NTIRE Real Image Denoising Challenge – rawRGB Track 2020: 3rd Place Award, NTIRE Real Image Denoising Challenge – sRGB Track 2014: Outstanding Graduate of Inner Mongolia Autonomous Region, P.R. China 2012: Excellent Three Merit Student Award of Inner Mongolia Autonomous Region, P.R. China Research Interests Dr. Yue’s research interests include noise modeling, image denoising, demosaicking, super-resolution, and sensor technology, with a particular focus on improving imaging performance in challenging environments. Publications Physics-guided iso-dependent sensor noise modeling for extreme low-light photography Authors: Yue Cao, Ming Liu, Shuai Liu, Xiaotao Wang, Lei Lei, Wangmeng Zuo Year: 2023 Incorporating Semi-Supervised and Positive-Unlabeled Learning for Boosting Full Reference Image Quality Assessment Authors: Yue Cao, Zhaolin Wan, Dongwei Ren, Zifei Yan, Wangmeng Zuo Year: 2022 Pseudo-ISP: Learning Pseudo In-camera Signal Processing Pipeline from A Color Image Denoiser Authors: Yue Cao, Xiaohe Wu, Shuran Qi, Xiao Liu, Zhongqin Wu, Wangmeng Zuo Year: 2021 Unpaired learning of deep image denoising Authors: Xiaohe Wu, Ming Liu, Yue Cao, Dongwei Ren, Wangmeng Zuo Year: 2020 Ntire 2020 challenge on real image denoising: Dataset, methods and results Authors: Abdelrahman Abdelhamed, Mahmoud Afifi, Radu Timofte, Michael S Brown Year: 2020
Research Interests