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DTSTART;TZID=Europe/Ljubljana:20260616T140000
DTEND;TZID=Europe/Ljubljana:20260616T150000
DTSTAMP:20260622T210141Z
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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
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BEGIN:VEVENT
DTSTART;TZID=Europe/Ljubljana:20260728T140000
DTEND;TZID=Europe/Ljubljana:20260728T150000
DTSTAMP:20260731T192943Z
CREATED:20260701T135904Z
LAST-MODIFIED:20260731T192943Z
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) \nRecording of the Webinar\n \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
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20260827T080000
DTEND;TZID=America/New_York:20260827T090000
DTSTAMP:20260828T063113Z
CREATED:20260816T204051Z
LAST-MODIFIED:20260828T063113Z
UID:10000016-1787817600-1787821200@ieee-biometrics.org
SUMMARY:Identity Security in the Age of Deepfakes
DESCRIPTION:Title: Identity Security in the Age of Deepfakes\nSpeaker: Prof. Dr. Siwei Lyu\, University at Buffalo\, USA\nWhen: August 27\, 2026 at 8:00 AM US Eastern Time (2:00 pm CEST\, 8:00 PM Beijing Time)\nWhere: Online (Zoom) \nRecording of the Webinar\n \nAbstract\nRapid advances in generative AI have made it increasingly easy to synthesize or manipulate faces\, voices\, and real-time audiovisual streams\, creating new challenges for biometric identity systems. This talk examines how deepfakes can affect different stages of the biometric pipeline\, including synthetic identity creation\, impersonation\, morphing\, and real-time digital injection. It will clarify the complementary roles of biometric matching\, presentation attack detection and liveness\, and media forensics\, and review the forensic evidence that current deepfake detectors exploit. \nThe talk will also discuss why deepfake detection remains difficult in real-world settings and argue for moving beyond a single “real or fake” detector toward layered\, evidence-based and risk-aware biometric authentication. The webinar should be relevant to researchers\, practitioners\, students\, and security professionals working in biometrics\, identity verification\, media forensics\, AI security\, fraud prevention\, and trustworthy AI. \nAbout The Speaker\nSiwei Lyu is a SUNY Distinguished Professor at the University at Buffalo\, State University of New York\, where he directs the Institute for AI and Data Science and the UB Media Forensics Lab. His research focuses on digital media forensics\, deepfake and AI-generated media detection\, and trustworthy AI. He leads the development of DeepFake-o-Meter\, an open platform integrating state-of-the-art deepfake detection methods for research and real-world analysis. He is a Fellow of IEEE and IAPR.
URL:https://ieee-biometrics.org/event/identity-security-in-the-age-of-deepfakes/
CATEGORIES:Webinar
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20260924T090000
DTEND;TZID=America/New_York:20260924T100000
DTSTAMP:20260928T075339Z
CREATED:20260902T093659Z
LAST-MODIFIED:20260928T075339Z
UID:10000017-1790240400-1790244000@ieee-biometrics.org
SUMMARY:Beyond Pixels: Continuous Neural Representations for Biometrics
DESCRIPTION:Title: Beyond Pixels: Continuous Neural Representations for Biometrics\nSpeaker: Prof. Dr. Vishal Patel\, Johns Hopkins University\, USA\nWhen: September 24\, 2026 at 9:00 AM US Eastern Time (3:00 pm CEST\, 9:00 PM Beijing Time)\nWhere: Online (Zoom) \nRecording of the Webinar\n \nAbstract\nBiometrics has traditionally relied on discrete pixel representations and\, more recently\, learned feature embeddings for recognition and analysis. This talk explores an emerging alternative based on Implicit Neural Representations (INRs)\, which model biometric traits as continuous functions rather than discrete images. The talk will introduce the principles of INRs and demonstrate their applications to deepfake and presentation attack detection\, biometric quality assessment\, and function-space metric learning. Our speaker will conclude by discussing future opportunities for INRs in biometric recognition\, continuous biometric templates\, morph attack analysis\, privacy-preserving biometrics\, and multimodal biometric systems\, arguing that continuous neural representations may provide a new foundation for the next generation of biometric technologies. \nAbout The Speaker\nVishal M. Patel is a Professor in the Department of Electrical and Computer Engineering (ECE) at Johns Hopkins University. His research focuses on computer vision\, machine learning\, image processing\, medical image analysis\, and biometrics. He has received a number of awards including the 2021 IEEE Signal Processing Society (SPS) Pierre-Simon Laplace Early Career Technical Achievement Award\, the 2021 NSF CAREER Award\, the 2021 IAPR Young Biometrics Investigator Award (YBIA)\, the 2016 ONR Young Investigator Award\, and the 2016 Jimmy Lin Award for Invention. Patel serves as an associate editor for the IEEE Transactions on Pattern Analysis and Machine Intelligence journal and IEEE Transactions on Biometrics\, Behavior\, and Identity Science.  He is a Fellow of the IEEE and IAPR.
URL:https://ieee-biometrics.org/event/beyond-pixels-continuous-neural-representations-for-biometrics/
CATEGORIES:Webinar
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20261104T080000
DTEND;TZID=America/New_York:20261104T090000
DTSTAMP:20261013T073555Z
CREATED:20261013T070907Z
LAST-MODIFIED:20261013T073555Z
UID:10000018-1793779200-1793782800@ieee-biometrics.org
SUMMARY:Fundamentals of Hand Biometrics: Commercial and Forensic Applications
DESCRIPTION:Title: Fundamentals of Hand Biometrics: Commercial and Forensic Applications\nSpeaker: Prof. Dr. Wai Kin Adams Kong\, Nanyang Technological University\, Singapore\nWhen: November 4\, 2026 at 8:00 AM US Eastern Time (2:00 pm CEST\, 8:00 PM Beijing Time)\nWhere: Online (Zoom)\nRegistration (free but required): https://us06web.zoom.us/webinar/register/WN_1lFx8W0-Q5CJrQWJoGfIAw \nAbstract\nIn this talk\, the speaker will first introduce the fundamental concepts of hand-based biometrics and discuss their advantages\, including user acceptance\, privacy protection\, and biometric distinctiveness\, particularly for commercial applications. The talk will focus on palmprint recognition\, covering its underlying principles\, practical applications\, and potential for reliable identity verification. The speaker will also introduce other hand-based biometric modalities\, including palm vein and finger vein recognition\, and discuss the key challenges in developing robust\, accurate\, and secure hand biometric systems for real-world commercial deployment. These challenges include variations in data acquisition conditions\, presentation attacks\, and the need to balance recognition performance with usability and privacy. In addition to commercial applications\, the talk will explore the potential of palmprints and wrist characteristics for forensic investigations. It will highlight how hand-based biometric evidence can support identity analysis and assist forensic experts in investigating cases where conventional biometric evidence may be unavailable or insufficient. The talk will conclude by discussing emerging opportunities and future research directions in hand biometrics for both commercial and forensic applications. \nAbout The Speaker\nDr. Adams Kong received his Ph.D. from the University of Waterloo. He is an Associate Professor at Nanyang Technological University (NTU)\, Singapore\, and Director of the MSc in Artificial Intelligence programme. His research has appeared in leading AI conferences and journals. His papers have been selected as spotlight papers by TPAMI\, ICML\, and ICLR\, and for oral presentation at CVPR; another received an Honorable Mention from PR. His Ph.D. students have won Best Student Paper Awards at BTAS 2012 and BIBE 2013\, as well as awards including the Google Anita Borg Memorial Scholarship. He serves as an editor for IEEE T-BIOM\, The Visual Computer\, and TMLR\, and as an area chair for NeurIPS\, ICLR\, CVPR\, and ECCV. He has been recognised as a top reviewer by ICML\, NeurIPS\, and BTAS\, and a top area chair by NeurIPS. He served as an expert witness for the U.S. Department of Justice in a child sexual abuse case and as a consultant in a cross-border legal case.
URL:https://ieee-biometrics.org/event/fundamentals_of_hand_biometrics_commercial_and_forensic_applications/
CATEGORIES:Webinar
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20261126T080000
DTEND;TZID=America/New_York:20261126T090000
DTSTAMP:20261013T073436Z
CREATED:20261013T073346Z
LAST-MODIFIED:20261013T073436Z
UID:10000019-1795680000-1795683600@ieee-biometrics.org
SUMMARY:Designing computational tools for behavioral and clinical science
DESCRIPTION:Title: Designing computational tools for behavioral and clinical science\nSpeaker: Prof. Dr. Albert Ali Salah\, Utrecht University\, Netherlands\nWhen: November 26\, 2026 at 8:00 AM US Eastern Time (2:00 pm CEST\, 8:00 PM Beijing Time)\nWhere: Online (Zoom)\nRegistration (free but required): https://us06web.zoom.us/webinar/register/WN_uaf_6-kfQq-J7fuFt6coKA \nAbstract\nAutomatic analysis of human affective and social signals brought computer science into closer alignment with social sciences\, enabling new collaborations between computer scientists and behavioral researchers. In this talk\, I highlight the key research directions in this burgeoning interdisciplinary field\, and provide an overview of its major opportunities and challenges.\n\nComputer science and psychology have different methodological assumptions and approaches. In the extended version of this talk\, I introduce the foundational principles of both computational and statistical methods used in this context. I explain the core concepts\, outline different goals and methodologies\, and distinguish between data-driven and theory-driven approaches.\n\nDrawing on examples from our recent research – such as automatic analysis of interactive play therapy sessions with children\, and diagnosis of bipolar disorder from multimodal cues – as well as relying on examples from the growing literature\, I explore the potential of human-AI collaboration\, where AI systems do not replace\, but support monitoring and human decision making in behavioral and clinical sciences. In particular\, the role of face\, body\, gesture\, speech and multimodal analysis  are discussed\, as well the role of explainability and interpretability\, which are important aspects for trustworthy computer systems in this domain.\nAbout The Speaker\nDr. Albert Ali Salah is professor and chair of Social and Affective Computing at the Information and Computing Sciences Department of Utrecht University. His research is broad\, but mainly uses pattern recognition and machine learning for computer analysis of human behavior\, with over 250 publications in these areas\, including edited textbooks Computer Analysis of Human Behavior (2011\, Springer)\, Data Science for Migration and Mobility (2022\, Oxford University Press) and Privacy-Aware Monitoring for Assisted Living (2025\, Springer Cham). \nDr. Salah has a PhD in Computer Engineering from Boğaziçi University (2007). He subsequently held positions at CWI\, University of Amsterdam\, and Boğaziçi University\, as well as a one-year visiting position at Nagoya University. His research group at Utrecht University investigates behavior at different scales; looking at individual behaviors (such as facial expression analysis)\, dyadic and group behaviours (e.g. child-parent or patient-doctor interactions)\, and at computational social science (e.g. mobile phone based analysis of migration and mobility). He was the coordinator of the Data for Refugees (D4R) Challenge between 2016-2019\, and directed the mobile phone workpackage in the HumMingBird EU project. He is also a member of the AI and Animal Welfare Lab in Utrecht. \nDr. Salah was the inaugural recipient of the EBF European Biometrics Research Award (2006)\, and a recipient of the GEBIP award of Science Academy (2017). He served as a program committee member of over 200 conferences\, and as associate editor of several journals\, including IEEE Trans. Affective Computing\, IJHCS\, and Pattern Recognition. He chaired ACM ICMI 2014\, ISSI 2015\, SPECOM 2019\, IEEE FG 2024 conferences\, and served in the Steering Boards of ACM ICMI and IEEE FG\, and as VP Conferences for the IEEE Biometrics Council. He is a Senior Member of the ACM and of IEEE.
URL:https://ieee-biometrics.org/event/designing_computational_tools_for_behavioral_and_clinical_science/
CATEGORIES:Webinar
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