Title: Heterogeneous Face Recognition
Speaker: Prof. Dr. Ran He, National Laboratory of Pattern Recognition, China
When: March 29, at 10am Beijing time (4 am CEST, and March 28 at 9 pm CDT, 10pm EDT)
Where: Online (Zoom)
Ubiquitous vision sensors not only facilitate the wide application of face recognition but also generate various heterogeneous sets of facial images. Matching faces across different sensing modalities raises the problem of heterogeneous face recognition (HFR) or cross domain face recognition. Due to significant difference in sensing processes, heterogeneous images of the same subject have large appearance variations, which has distinguished HFR from regular visible face recognition. During last several years, our research group have investigated a range such problems and developed applications. This talk will focus on research and recent advances of heterogeneous face recognition, including fundamental models, face recognition method and recognition from synthesis.
About The Speaker
Prof. Dr. Ran He, National Laboratory of Pattern Recognition, Chin
Dr. Ran He received the PhD degrees in pattern recognition and intelligence system 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. He 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. He was the area chair of CVPR/ECCV/ICML/NeurIPS. His research won IEEE SPS Young Author Best Paper Award (2020), IAPR ICPR Best Scientific Paper Award (2020), and IEEE ICB Honorable Mention Paper Award (2019). He is the 2022 recipient of CAS Outstanding Tutor Award. He is a senior member of the IEEE and also a Fellow of IAPR.