Chao Dong

Professor
Shanghai AI Lab, Shenzhen Institutes of Advanced Technology (SIAT), Chinese Academy of Sciences (CAS)
chao.dong@siat.ac.cn

Chao Dong is currently a professor in Shenzhen Institute of Advanced Technology, Chinese Academy of Science, the leading scientist in Shanghai AI Laboratory. He received his Ph.D. degree from The Chinese University of Hong Kong, supervised by Prof. Xiaoou Tang and Prof. Chen Change Loy. In 2014, he first introduced deep learning method – SRCNN into the super-resolution field. This seminal work was chosen as one of the top ten “Most Popular Articles” of TPAMI in 2016. His team has won several championships in international challenges –NTIRE2018, PIRM2018, NTIRE2019, NTIRE2020 AIM2020 and NTIRE2022. He worked in SenseTime from 2016 to 2018, as the team leader of Super-Resolution Group. In 2021, he was chosen as one of the World’s Top 2% Scientists. In 2022, he was recognized as the AI 2000 Most Influential Scholar Honorable Mention in computer vision. As of March 2024, the citation count for Google Scholar has exceeded 33,222 times.His current research interest focuses on low-level vision problems, such as image/video super-resolution, denoising and enhancement.

董超，中国科学院深圳先进技术研究院多媒体集成技术研究中心主任，研究员，博士生导师。主要研究方向为底层计算机视觉，包括图像超分辨率、去噪和增强等，发表相关论文100余篇，截至2024年12月谷歌学术引用量超过4万1千次。2011年本科毕业于北京理工大学信息工程专业，2016年博士毕业于香港中文大学信息工程专业。2014年，在欧洲计算机视觉大会（ECCV）上发表论文SRCNN，首次将深度学习引入图像超分辨领域。2017年至今，多次带队参加国际图像超分辨率比赛，共获得9项冠军。2016年-2018年就职于商汤科技，带领商汤超分团队开发了世界首款基于深度学习的数码变焦软件，并成功落地在vivox23手机上。2021年被斯坦福大学评选为世界前2%顶尖科学家。2022年被清华大学评为AI2000人工智能全球最具影响力学者。2023年获得上海市技术发明奖一等奖。

Research Interests: Image/Video Restoration, Super-Resolution