Free Webinar by Dr. Ran He on Heterogeneous Face Recognition

*** FREE ONLINE WEBINAR on Heterogeneous Face Recognition ***

The IEEE Biometrics Council invites participants to the upcoming (free)
webinar by Prof. Ran He on “Heterogeneous Face Recognition”. Detail on
the webinar are given below:

Title: Heterogeneous Face Recognition
Speaker: Prof. Dr. Ran He, National Laboratory of Pattern Recognition,
CASIA, China
When: 29 March 2023, at 10am Beijing time (4 am CEST, 9 pm CST, 10pm EST)
Where: Online (Zoom)
Registration: (free, but required):
https://us06web.zoom.us/webinar/register/WN_QhsNRSWRQTOP3KJXkWVVVw

*** Talk Summary ***
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 ***
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.

For more information, visit:
https://ieee-biometrics.org/index.php/activities/webinars

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