Labeling of Activity Recognition Datasets: Detection of Misbehaving Users. - Alessio Vecchio; Giada Anastasi; Davide Coccomini; Stefano Guazzelli; Sara Lotano; Giuliano Zara (MobiHealth, 2019)

Generative Adversarial Networks for Astronomical Images Generation. - Davide Coccomini; Nicola Messina; Claudio Gennaro; Fabrizio Falchi (CoRR, 2021)

Combining EfficientNet and Vision Transformers for Video Deepfake Detection. - Davide Coccomini; Nicola Messina; Claudio Gennaro; Fabrizio Falchi (ICIAP (3), 2022)

Cross-Forgery Analysis of Vision Transformers and CNNs for Deepfake Image Detection. - Davide Alessandro Coccomini; Roberto Caldelli; Fabrizio Falchi; Claudio Gennaro; Giuseppe Amato 001 (MAD@ICMR, 2022)

Transformer-Based Multi-modal Proposal and Re-Rank for Wikipedia Image-Caption Matching. - Nicola Messina; Davide Alessandro Coccomini; Andrea Esuli; Fabrizio Falchi (CoRR, 2022)

Predicting Tornadoes days ahead with Machine Learning. - Davide Alessandro Coccomini; Giuliano Zara (CoRR, 2022)

The Face Deepfake Detection Challenge. - Luca Guarnera; Oliver Giudice; Francesco Guarnera; Alessandro Ortis; Giovanni Puglisi; Antonino Barbaro Paratore; Linh M. Q. Bui; Marco Fontani; Davide Alessandro Coccomini; Roberto Caldelli; Fabrizio Falchi; Claudio Gennaro; et al. (J. Imaging, 2022)

AIMH Lab Approaches for Deepfake Detection. - Davide Alessandro Coccomini; Roberto Caldelli; Andrea Esuli; Fabrizio Falchi; Claudio Gennaro; Nicola Messina; Giuseppe Amato 001 (Ital-IA, 2023)

Improving Query and Assessment Quality in Text-Based Interactive Video Retrieval Evaluation. - Werner Bailer; Rahel Arnold; Vera Benz; Davide Coccomini; Anastasios Gkagkas; Gylfi Þór Guðmundsson; Silvan Heller; Björn Þór Jónsson 001; Jakub Lokoc; Nicola Messina; Nick Pantelidis; Jiaxin Wu 001 (ICMR, 2023)

Adversarial Magnification to Deceive Deepfake Detection Through Super Resolution. - Davide Alessandro Coccomini; Roberto Caldelli; Giuseppe Amato 001; Fabrizio Falchi; Claudio Gennaro (PKDD/ECML Workshops (2), 2023)

Deepfake Detection: Challenges and Solutions. - Davide Alessandro Coccomini (SEBD, 2023)

On the Generalization of Deep Learning Models in Video Deepfake Detection. - Davide Alessandro Coccomini; Roberto Caldelli; Fabrizio Falchi; Claudio Gennaro (J. Imaging, 2023)

Exploring Strengths and Weaknesses of Super-Resolution Attack in Deepfake Detection. - Davide Alessandro Coccomini; Roberto Caldelli; Fabrizio Falchi; Claudio Gennaro; Giuseppe Amato 001 (ECCV Workshops (21), 2024)

Robustness and Generalization of Synthetic Images Detectors. - Davide Alessandro Coccomini; Roberto Caldelli; Claudio Gennaro; Giuseppe Fiameni; Giuseppe Amato 001; Fabrizio Falchi (Ital-IA, 2024)

Deepfake Detection without Deepfakes: Generalization via Synthetic Frequency Patterns Injection. - Davide Alessandro Coccomini; Roberto Caldelli; Claudio Gennaro; Giuseppe Fiameni; Giuseppe Amato 001; Fabrizio Falchi (CoRR, 2024)

Detecting images generated by diffusers. - Davide Alessandro Coccomini; Andrea Esuli; Fabrizio Falchi; Claudio Gennaro; Giuseppe Amato 001 (PeerJ Comput. Sci., 2024)

MINTIME: Multi-Identity Size-Invariant Video Deepfake Detection. - Davide Alessandro Coccomini; Giorgos Kordopatis-Zilos; Giuseppe Amato 001; Roberto Caldelli; Fabrizio Falchi; Symeon Papadopoulos; Claudio Gennaro (IEEE Trans. Inf. Forensics Secur., 2024)

Cascaded transformer-based networks for wikipedia large-scale image-caption matching. - Nicola Messina; Davide Alessandro Coccomini; Andrea Esuli; Fabrizio Falchi (Multim. Tools Appl., 2024)