Song Bai - 柏松
Scholar

Song Bai - 柏松

Google Scholar ID: LXuWMF4AAAAJ
MiroMind, Singapore
Computer VisionMachine Learning
Citations & Impact
All-time
Citations
18,977
 
H-index
60
 
i10-index
102
 
Publications
20
 
Co-authors
162
list available
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • Multiple papers accepted by top-tier conferences such as CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR; served as Area Chair for leading AI conferences; serves as an Associate Editor of Pattern Recognition and Guest Editors of IEEE Transactions on Pattern Analysis and Machine Intelligence.
Research Experience
  • Currently a research scientist at MiroMind, Singapore, working on Generative AI. Previously, he was a computer vision lead at TikTok, Singapore, an adjunct assistant professor at the National University of Singapore, and a research fellow in the Torr Vision Group (TVG) at the University of Oxford.
Education
  • Received B.E. and Ph.D. degrees from Huazhong University of Science and Technology (HUST), supervised by Prof. Xiang Bai; was a research scholar at the University of Texas at San Antonio (UTSA) under Prof. Qi Tian, and with the Computational Cognition, Vision, and Learning (CCVL) research group at Johns Hopkins University (JHU) under Prof. Alan Yuille.
Background
  • Research interests span computer vision and machine learning, including graph neural networks, adversarial learning, 3D shape recognition, image retrieval and classification, person re-identification, and medical image analysis.
Miscellany
  • Building a team at Miromind and actively recruiting scientists and research interns, located in Singapore or open to remote work.