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N. Messina, D.A. Coccomini, A. Esuli, F. Falchi: “Transformer-Based Multi-modal Proposal and Re-Rank for Wikipedia Image-Caption Matching”, Wikipedia and Multi-Modal & Multi-Lingual Research

Guarnera, L.; Giudice, O.; Guarnera, F.; Ortis, A.; Puglisi, G.; Paratore, A.; Bui, L.M.Q.; Fontani, M.; Coccomini, D.A.; Caldelli, R.; Falchi, F.; Gennaro, C.; Messina, N.; Amato, G. et al. The Face Deepfake Detection Challenge, J. of Imaging

D. A. Coccomini, R. Caldelli, F. Falchi, C. Gennaro, and G. Amato. 2022. Cross-Forgery Analysis of Vision Transformers and CNNs for Deepfake Image Detection. In Proceedings of International Workshop on Multimedia AI against Disinformation, NY, USA

D. A. Coccomini, N. Messina, C. Gennaro, and F. Falchi. 2022. Combining EfficientNet and Vision Transformers for Video Deepfake Detection. In Image Analysis and Processing – ICIAP 2022: 21st International Conference, Lecce, Italy, May 23–27, 2022

Vecchio A., Anastasi G., Coccomini D., Guazzelli S., Lotano S., Zara G. (2020) Labeling of Activity Recognition Datasets: Detection of Misbehaving Users. In: O'Hare G., O'Grady M., O’Donoghue J., Henn P. (eds) Wireless Mobile Communication and Health

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