Call for Papers & Participation – Biometric Authentication Challenge @ ICIAP 2025 Dear colleagues, We are excited to invite you to participate in the Dual Factor Lip-Based Biometric User Authentication Workshop and Challenge, which will be held in conjunction with ICIAP 2025. This event focuses on cutting-edge approaches to biometric authentication using a unique dataset […]
Archive for the ‘Congress’ Category
LAVA’25: Call for Papers and Challenge Participation
April 30th, 2025
Daniela Lopez de Luise Call for Papers and Challenge Participation We invite researchers, practitioners, and enthusiasts to contribute to the Workshop and Grand Challenge on Large Vision–Language Model Learning and Applications (LAVA), to be held in conjunction with ACM Multimedia 2025. 🔬 LAVA Workshop Overview The LAVA Workshop explores innovations and challenges in Large Vision–Language Models (LVLMs). We […]
CfP: ACM Multimedia 2025 Grand Challenge “MultiMediate”
April 30th, 2025
Daniela Lopez de Luise ;text-indent:0px;text-transform:none;white-space:normal;word-spacing:0px;text-decoration:none;word-wrap:break-word;line-break:after-white-space”> ––––––––––––––––––––––––––––––––––––––––––––––––––––––Dr. Philipp Müller Senior Researcher Deutsches Forschungszentrum für Künstliche Intelligenz GmbH (DFKI)Stuhlsatzenhausweg 3, Campus D3 166119 SaarbrückenGermany+49 681 85775 7752–––––––––––––––––––––––––––––––––––––––––––––––––––––– Deutsches Forschungszentrum für Künstliche Intelligenz GmbH Firmensitz: Trippstadter Straße 122, D-67663 Kaiserslautern Geschäftsführung: Prof. Dr. Antonio Krüger (Vorsitzender) Helmut Ditzer Vorsitzender des Aufsichtsrats: Dr. Ferri Abolhassan Amtsgericht Kaiserslautern, HRB 2313 –––––––––––––––––––––––––––––––––––––––––––––––––––––– Website: https://www.dfki.de
1st CFP due July 15: CAIS 2025 Automated and Intelligent Systems, Oct 1-2, Online & OKCity, USA
April 30th, 2025
Daniela Lopez de Luise FairBench: a Python library for comprehensive AI fairness exploration
April 30th, 2025
Daniela Lopez de Luise ;text-indent:0px;text-transform:none;white-space:normal;word-spacing:0px;text-decoration:none;unicode-bidi:plaintext”> we would like to announce the release of FairBench, a comprehensive Python library for exploring and understanding AI biases and fairness. Why an(other) AI fairness library? As AI systems become ingrained in everyday lives, it is important to ensure their fairness across different demographic groups — or group intersections. But it can be challenging […]




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