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| Sean Gong | |
|---|---|
| Born | Shaogang Gong |
| Occupation | Engineer |
| Engineering career | |
| Employer(s) | Queen Mary University of London |
| Projects | Application of machine learning in video analysis |
| Awards | FREng |
Professor Shaogang Gong, often shortened to Sean Gong, is an engineer and currently serves as Professor of Visual Computation at Queen Mary University of London. He is the head of the university's Computer Vision Group, and specialises in machine learning and video analysis.
Research
Beginning in 1996, Gong's work and research has featured over 130 computer vision and pattern recognition conferences, including the Conference on Computer Vision and Pattern Recognition and European Conference on Computer Vision. In 2009, he co-wrote a comprehensive study into facial expression recognition software, which was published in the Image & Computing journal.
His research has led him to become involved with three separate companies as a result of his expertise. His roles in business have resulted in him winning multiple awards regionally, including the 2017 Queen Mary Academic Commercial Enterprise Award and the 2019 Queen Mary Innovation Award. He was also the recipient of the Global Frost & Sullivan Award in 2017 for innovation with the development of video forensic technology that could be used by law enforcement. This software was later acquired by Veritone in 2022.
Gong was elected a Fellow of the Royal Academy of Engineering in 2023.
References
- Wang, Taiqing; Gong, Shaogang; Zhu, Xiatian; Wang, Shengjin (2014). "Person Re-identification by Video Ranking". Computer Vision – ECCV 2014. Lecture Notes in Computer Science. Vol. 8692. European Conference on Computer Vision. pp. 688–703. doi:10.1007/978-3-319-10593-2_45. ISBN 978-3-319-10592-5.
- "Harmonious Attention Network for Person Re-Identification". Conference on Computer Vision and Pattern Recognition. 2018. pp. 2285–2294.
- Shan, Caifeng; Gong, Shaogang; McOwan, Peter W. (2009). "Facial expression recognition based on local binary patterns: A comprehensive study". Image and Vision Computing. 27 (6). Image & Computing (journal): 803–816. doi:10.1016/j.imavis.2008.08.005.
- "Sean Gong Bio". The Alan Turing Institute.
- "Queen Mary University of London spin-off provides the blueprint for new game-changing AI applications". Queen Mary University of London. November 18, 2022.
- "Professor Shaogang (Sean) Gong FREng". Royal Academy of Engineering. Retrieved 2025-01-21.
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