BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//IEEE Biometrics Council - ECPv6.17.1//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-ORIGINAL-URL:https://ieee-biometrics.org
X-WR-CALDESC:Events for IEEE Biometrics Council
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:Europe/Ljubljana
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20250330T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20251026T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20260329T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20261025T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20270328T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20271031T010000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=Europe/Ljubljana:20260616T140000
DTEND;TZID=Europe/Ljubljana:20260616T150000
DTSTAMP:20260622T210141Z
CREATED:20260603T121419Z
LAST-MODIFIED:20260622T210141Z
UID:10000013-1781618400-1781622000@ieee-biometrics.org
SUMMARY:Face Image Quality Assessment (FIQA): Recent Advancements and Future Challenges
DESCRIPTION:Title: Face Image Quality Assessment (FIQA): Recent Advancements and Future Challenges\nSpeaker: Prof. Dr. Vitomir Štruc\, University of Ljubljana\nWhen: June 16\, 2026 at 2:00 pm CEST\nWhere: Online (Zoom) \nRecording of the Webinar\n \nAbstract\nUnderstanding the quality characteristics of facial images is of key importance for various face-related applications\, ranging from biometric verification systems and problems in surveillance and security to applications in human-machine interaction and affective computing. In this talk\, I will first talk about the general problem of Face Image Quality Assessment (FIQA) and discuss how it differs from the more perceptually driven Image Quality Assessment (IQA) task that is used for quality assessment of arbitrary natural images. I will then elaborate on the most interesting trends and solutions towards face image quality assessment and present a few of our recent models for this task\, i.e.\, (i) FaceQAN that predicts quality based on the analysis of adversarial noise\, (ii) DifFIQA and eDiffFIQA that use probabilistic denoising diffusion models to estimate face image quality\, and (iii) FROQ\, which is an efficient FIQA method with limited computational overhead. Finally\, I will share some insights with respect to FIQA techniques and highlight some open issues and future research directions in this space. \nAbout The Speaker\nVitomir Štruc is a Full Professor at the University of Ljubljana\, Slovenia. His research interests include problems related to biometrics\, computer vision\, image processing\, and machine learning. He (co-)authored more than 250 research papers for leading international peer reviewed journals and conferences in these and related areas. Vitomir is a Deputy Editor-in-Chief for the IEEE Transactions on Information Forensics and Security\, a Subject Editor for Elsevier’s Signal Processing and an Associate Editor-in-Chief for Pattern Recognition. He regularly serves on the organizing committees of visible international conferences. He was a Program Co-Chair for IJCB 2020\, IEEE FG 2024\, IEEE WIFS 2024\, IJCB 2025 and WACV 2025\, and General Co-Chair for IJCB 2023 and WACV 2026. He currently serves as a Tutorial Co-Chair for CVPR 2026 and Program Co-Chair for ICVPRv 2027 and WIFS 2027. Dr. Struc is a Senior member of the IEEE\, a member of IAPR\, Slovenia’s ambassador for the European Association for Biometrics (EAB) and the former president and current supervisory board member of the Slovenian Pattern Recognition Society. Vitomir is also served as the VP Technical Activities for the IEEE Biometrics Council 2022-2025\, and currently serves as the vice-chair of the IAPR Technical Committee on Biometrics (TC4) and a member of the Supervisory Board of the EAB. He is also a member of the Steering Committee of the IEEE Face and Gesture and CVF/IEEE WACV conference series.
URL:https://ieee-biometrics.org/event/face_image_quality_assessment_recent_advancements_and_future_challenges/
CATEGORIES:Webinar
ATTACH;FMTTYPE=image/jpeg:https://ieee-biometrics.org/wp-content/uploads/prof_struc_banner.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Ljubljana:20260728T140000
DTEND;TZID=Europe/Ljubljana:20260728T150000
DTSTAMP:20260701T203138Z
CREATED:20260701T135904Z
LAST-MODIFIED:20260701T203138Z
UID:10000015-1785247200-1785250800@ieee-biometrics.org
SUMMARY:Contactless Palmprint Identification: Methods\, Performance\, and Security Challenges
DESCRIPTION:Title: Contactless Palmprint Identification: Methods\, Performance\, and Security Challenges\nSpeaker: Prof. Dr. Ajay Kumar\, Hong Kong Polytechnic University\nWhen: July 28\, 2026 at 2:00 pm CEST (8:00 PM Hong Kong Time / 8:00 AM US Eastern Time)\nWhere: Online (Zoom)\nRegistration (free but required): https://us06web.zoom.us/webinar/register/WN_sNNF5okfTuG7KvopktBDBw \nAbstract\nContactless palmprint identification is emerging as a powerful biometric technology for secure\, hygienic\, and user-friendly authentication in mobile identity\, fintech\, e-payments\, healthcare\, and other public services. This webinar intends to provide an accessible overview of the state of the art in contactless palmprint recognition\, including traditional feature-based approaches\, deep learning methods\, and recent advances in mobile phone-based authentication. Comparative performance trends and accuracy results from current methods will be discussed\, highlighting progress as well as limitations in real-world deployment. The talk also plans to examine key security challenges\, including presentation attacks\, spoof detection\, privacy protection\, cross-device reliability\, and template security. Finally\, it will outline future research directions toward accurate\, scalable\, explainable\, and trustworthy contactless palmprint identification. \nAbout The Speaker\nAjay Kumar is a Professor in the Department of Data Science and Artificial Intelligence at The Hong Kong Polytechnic University. He received a B.Eng. degree an M.Eng.\, and a Ph.D. from The University of Hong Kong\, Hong Kong\, in 2001. Before joining PolyU\, he served as an Assistant Professor in the Department of Electrical Engineering at IIT Delhi from 2005 to 2007. \nProfessor Kumar’s research focuses on biometrics\, with particular emphasis on contactless hand biometrics\, vascular biometrics\, iris recognition\, and multimodal biometric systems. He holds seven U.S. patents and has authored two books\, including Contactless 3D Fingerprint Identification (2018) and Iris and Periocular Recognition using Deep Learning (2024). A Fellow of IAPR and IEEE\, he has held several prominent leadership roles in the biometrics community\, including President of the IEEE Biometrics Council (2021–2022)\, and has served on editorial boards of several leading journals\, including IEEE Transactions on Pattern Analysis and Machine Intelligence (2020-2025).
URL:https://ieee-biometrics.org/event/contactless-palmprint-identification-methods-performance-and-security-challenges/
CATEGORIES:Webinar
ATTACH;FMTTYPE=image/jpeg:https://ieee-biometrics.org/wp-content/uploads/prof_kumar_banner.jpg
END:VEVENT
END:VCALENDAR