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Research Program AI for Everyone
Name: AI for Everyone

Publications of AI for Everyone sorted by title

A

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
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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
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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
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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
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Review of Demographic Fairness in Face Recognition, Ketan Kotwal and Sébastien Marcel, in: IEEE Transactions on Biometrics, Behavior, and Identity Science, 2025
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S

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
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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
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U

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
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