Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Davide Alessandro Coccomini"'
Publikováno v:
PeerJ Computer Science, Vol 10, p e2127 (2024)
In recent years, the field of artificial intelligence has witnessed a remarkable surge in the generation of synthetic images, driven by advancements in deep learning techniques. These synthetic images, often created through complex algorithms, closel
Externí odkaz:
https://doaj.org/article/cade7d1a24ae47fab19955fad265cf56
Publikováno v:
Journal of Imaging, Vol 9, Iss 5, p 89 (2023)
The increasing use of deep learning techniques to manipulate images and videos, commonly referred to as “deepfakes”, is making it more challenging to differentiate between real and fake content, while various deepfake detection systems have been
Externí odkaz:
https://doaj.org/article/687273ad572c4bb4bab83b4b2d38f037
Autor:
Luca Guarnera, Oliver Giudice, Francesco Guarnera, Alessandro Ortis, Giovanni Puglisi, Antonino Paratore, Linh M. Q. Bui, Marco Fontani, Davide Alessandro Coccomini, Roberto Caldelli, Fabrizio Falchi, Claudio Gennaro, Nicola Messina, Giuseppe Amato, Gianpaolo Perelli, Sara Concas, Carlo Cuccu, Giulia Orrù, Gian Luca Marcialis, Sebastiano Battiato
Publikováno v:
Journal of Imaging, Vol 8, Iss 10, p 263 (2022)
Multimedia data manipulation and forgery has never been easier than today, thanks to the power of Artificial Intelligence (AI). AI-generated fake content, commonly called Deepfakes, have been raising new issues and concerns, but also new challenges f
Externí odkaz:
https://doaj.org/article/d7773e6bb1034106896d252dc3bb580b
Autor:
Werner Bailer, Rahel Arnold, Vera Benz, Davide Alessandro Coccomini, Anastasios Gkagkas, Gylfi Þór Guðmundsson, Silvan Heller, Björn Þór Jónsson, Jakub Lokoc, Nicola Messina, Nick Pantelidis, Jiaxin Wu
Different task interpretations are a highly undesired element in interactive video retrieval evaluations. When a participating team focuses partially on a wrong goal, the evaluation results might become partially misleading. In this paper, we propose
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2659::db7346e7f2cde3aa4576a1b403b78f16
https://zenodo.org/record/8031633
https://zenodo.org/record/8031633
Autor:
Davide Alessandro Coccomini, Roberto Caldelli, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato
Deepfake Generation Techniques are evolving at a rapid pace, making it possible to create realistic manipulated images and videos and endangering the serenity of modern society. The continual emergence of new and varied techniques brings with it a fu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8c6c84be9a9f166d5b30eef8b0371810
Autor:
Coccomini, Davide Alessandro, Esuli, Andrea, Falchi, Fabrizio, Gennaro, Claudio, Amato, Giuseppe
Publikováno v:
PeerJ Computer Science; Jul2024, p1-19, 19p
Publikováno v:
Journal of Imaging; May2023, Vol. 9 Issue 5, p89, 12p
Autor:
Guarnera, Luca, Giudice, Oliver, Guarnera, Francesco, Ortis, Alessandro, Puglisi, Giovanni, Paratore, Antonino, Bui, Linh M. Q., Fontani, Marco, Coccomini, Davide Alessandro, Caldelli, Roberto, Falchi, Fabrizio, Gennaro, Claudio, Messina, Nicola, Amato, Giuseppe, Perelli, Gianpaolo, Concas, Sara, Cuccu, Carlo, Orrù, Giulia, Marcialis, Gian Luca, Battiato, Sebastiano
Publikováno v:
Journal of Imaging; Oct2022, Vol. 8 Issue 10, p263-N.PAG, 21p
The proceedings set LNCS 13231, 13232, and 13233 constitutes the refereed proceedings of the 21st International Conference on Image Analysis and Processing, ICIAP 2022, which was held during May 23-27, 2022, in Lecce, Italy,The 168 papers included in