Feng Shi
About Feng Shi
Feng Shi is a computer vision researcher with a doctorate from the University of Ottawa. He has worked at Sportlogiq in Montreal, Quebec, since 2015 and co-authored a paper presented at WACV 2022.
Work at Sportlogiq
Feng Shi has been employed at Sportlogiq since 2015, serving as a Computer Vision Researcher. In this role, Shi focuses on developing advanced computer vision technologies tailored for sports analytics. The position involves applying machine learning techniques to enhance the understanding of sports data and improve performance metrics. Shi's contributions are integral to the company's mission of leveraging technology to transform sports analysis.
Education and Expertise
Feng Shi completed a Master's degree at the University of Ottawa from 2005 to 2007, followed by a Doctor of Philosophy degree from the same institution, which was achieved between 2008 and 2014. This extensive academic background provides Shi with a strong foundation in computer vision and related fields, contributing to expertise in research and development within the sports technology sector.
Background
Feng Shi's academic journey began with a Master's degree at the University of Ottawa, where foundational knowledge in computer vision was established. This was followed by a Doctorate, which further deepened expertise in the field. Shi's transition from academia to industry reflects a commitment to applying theoretical knowledge to practical challenges in sports technology.
Achievements
Feng Shi co-authored a research paper titled 'Self-Supervised Shape Alignment for Sports Field Registration,' which was presented at the WACV 2022 conference. This work highlights Shi's involvement in cutting-edge research within the field of computer vision, specifically in applications relevant to sports analytics and technology.