Update cookies preferences
 logo Idiap Research Institute        
Research Program AI for Everyone
Name: AI for Everyone

Publications of AI for Everyone sorted by recency
AugGen: Synthetic Augmentation using Diffusion Models Can Improve Recognition, Rahimi Parsa, Damien Teney and Sébastien Marcel, in: The Thirty-ninth Annual Conference on Neural Information Processing Systems, 2025
attachment
Review of Demographic Fairness in Face Recognition, Ketan Kotwal and Sébastien Marcel, in: IEEE Transactions on Biometrics, Behavior, and Identity Science, 2025
attachment
Securing Face and Fingerprint Templates in Humanitarian Biometric Systems, Vedrana Krivokuca, Giuseppe Stragapede, Sam Merrick, Justin Sukaitis and Vincent Graf Narbel, in: Proceedings of the International Joint Conference on Biometrics (IJCB 2025), Osaka, Japan, IEEE, 2025
attachment
FaceLLM: A Multimodal Large Language Model for Face Understanding, Hatef Otroshi Shahreza and Sébastien Marcel, in: Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops, 2025
[URL]
The Suisse Romande Local News Dataset, Victor Bros and Daniel Gatica-Perez, in: Proceedings of the Nineteenth International AAAI Conference on Web and Social Media, 2025
attachment
Using Backbone Foundation Model for Evaluating Fairness in Chest Radiography Without Demographic Data, Dilermando Queiroz Neto, André Anjos and Lilian Berton, in: Proceedings of the International Conference on Medical Image Computing and Computer Assisted Intervention, 2024
attachment
[DOI]
[URL]
Mapping the Media Landscape: Predicting Factual Reporting and Political Bias Through Web Interactions, Dairazalia Sanchez-Cortes, Sergio Burdisso, Esaú Villatoro-Tello and Petr Motlicek, in: Proceedings of the 15th International Conference of the CLEF Association: Experimental IR Meets Multilinguality, Multimodality, and Interaction, Grenoble, France, pages 127-138, Springer Nature Switzerland, 2024
attachment
[DOI]
[URL]
Reliability Estimation of News Media Sources: Birds of a Feather Flock Together, Sergio Burdisso, Dairazalia Sanchez-Cortes, Esaú Villatoro-Tello and Petr Motlicek, in: Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Mexico City, Mexico, pages 6900–6918, Association for Computational Linguistics, 2024
attachment
[DOI]
[URL]