On September 10, the winners of the 2020 CCF-CV Seeta Academic Emerging Award were announced. Sida Peng, PhD student from the ZJU State Key Lab of CAD&CG, was shortlisted as the awardee (publicityperiod is from September 10 to September 16, 2020).
Established in 1962, China Computer Federation (CCF) is the national first-level academicorganization and member of China Association for Science and Technology. The goals of CCF have the following four aspects. First, it provides services for the academic and professional development of professionals in computer and related fields. Second, it promotes the academic progress and the application of technological achievements. Third, it conducts academic evaluation and leads academic direction. Fourth, it recognizes and commends individuals and institutions with outstanding academic and technical achievements.
Technical Committee on Computer Vision of CCF (CCF-CV) was established on October 26, 2013. It is the professional branch of CCF in the domain of computer vision.The goal of the CCF-CV is to better carry out academic/technical exchanges, promote the understanding and cooperation among domestic scholars, promote the development of domestic computer vision disciplines, and enhance the international influence of China's computer vision research. Since 2018, CCS-CV has awarded three researchers the Academic Emerging Award.
The award ceremony will be held at the working meeting of the CCF-CV Special Committee on the evening of October 16. The winners and finalists will introduce their works at the Doctoral Forum of the PRCV2020 conference on the afternoon of October 17th. The three winners are shown in below table.
Biography
Sida Peng is a third-year PhD student in the State Key Lab of CAD&CG, Zhejiang University. His supervisor is Xiaowei Zhou. His research directions cover computer vision and augmented reality, and he mainly focuses research on the reconstruction and the object pose detection. He published two papers at CVPR and one paper at NeurlPS, and is the first author of the two CVPR papers. The codes of his published papers are all open-source. His code repository was starred more than 1,600 times in GitHub, and his papers were cited more than 110 times in Google Scholar. Among them, PVNet published in CVPR19 has been cited 98 times, which occupied the top of the public data set for nearly a year, and won the first place in the China Graduate AI Innovation Competition.
