SPS Webinar: Foundation Models for Biometric Recognition
Date: 9 January 2024
Time: 8:00 AM ET (New York Time)
Presenter(s): Dr. Ran He
Original article: Free download for 48 hours from the day of the webinar.
Abstract
Ubiquitous vision sensors not only facilitate the wide application of biometric recognition but also generate various heterogeneous sets of biometrics. Matching across different sensing modalities raises the problem of heterogeneous identity recognition or cross domain identity recognition. Due to significant difference in sensing processes, heterogeneous images of the same subject have large appearance variations, which has distinguished heterogeneous recognition from regular biometric recognition. During the last several years, our research group have investigated a range of such problems and developed several foundation models for biometric applications. This talk will focus on research and recent advances of heterogeneous face recognition, including fundamental models (light CNN and light vision transformer), recognition method and recognition from synthesis.
Biography
Ran He (M ’09, Sr. M ’15, F ’20) received the Ph. D. degree in pattern recognition and intelligence systems from Institute of Automation, Chinese Academy of Sciences (CASIA), China, in 2009.
He has been a professor at National Laboratory of Pattern Recognition since December 2016 and is now directing the visual perception and machine learning group. He has published two books and more than 200 papers in refereed journals and conference proceedings in the areas of computer vision, pattern recognition, and image processing. He is the editor board member of IEEE TIP, IEEE T-BIOM and Pattern Recognition and was the area chair of CVPR/ECCV/ICML/NeurIPS/ICLR and program co-chair of ACPR/PRCV/CCBR.
Dr. He's awards and honors include IAPR/IEEE ICB Honorable Mention Paper Award (2019), IEEE SPS Young Author Best Paper Award (2020), IAPR ICPR Best Scientific Paper Award (2020), IEEE Biometrics Council Best Doctoral Dissertation Award (2023), IEEE TIP Outstanding Editorial Board Member Award (2023), and CAS Outstanding Tutor Award (2022/2023).
