activity
20172022
most citedRecasting Residual-based Local Descriptors as Convolutional Neural Networks: an Application to Image Forgery Detection

14 citations · 35 across the 10 of their papers we have counts for

collaborators

27 papers

cs.CV20242 cited

Zero-Shot Detection of AI-Generated Images

Davide Cozzolino, Giovanni Poggi, Matthias Nießner +1

Detecting AI-generated images has become an extraordinarily difficult challenge as new generative architectures emerge on a daily basis with more and more capabilities and unpreced…

cs.CV202210 cited

On the detection of synthetic images generated by diffusion models

Riccardo Corvi, Davide Cozzolino, Giada Zingarini +3

Over the past decade, there has been tremendous progress in creating synthetic media, mainly thanks to the development of powerful methods based on generative adversarial networks…

cs.CV20221 cited

Comprint: Image Forgery Detection and Localization using Compression Fingerprints

Hannes Mareen, Dante Vanden Bussche, Fabrizio Guillaro +4

Manipulation tools that realistically edit images are widely available, making it easy for anyone to create and spread misinformation. In an attempt to fight fake news, forgery det…

cs.SD20223 cited

Deepfake audio detection by speaker verification

Alessandro Pianese, Davide Cozzolino, Giovanni Poggi +1

Thanks to recent advances in deep learning, sophisticated generation tools exist, nowadays, that produce extremely realistic synthetic speech. However, malicious uses of such tools…

cs.CV20212 cited

Are GAN generated images easy to detect? A critical analysis of the state-of-the-art

Diego Gragnaniello, Davide Cozzolino, Francesco Marra +2

The advent of deep learning has brought a significant improvement in the quality of generated media. However, with the increased level of photorealism, synthetic media are becoming…

eess.IV2020

Deep Learning Methods For Synthetic Aperture Radar Image Despeckling: An Overview Of Trends And Perspectives

Giulia Fracastoro, Enrico Magli, Giovanni Poggi +3

Synthetic aperture radar (SAR) images are affected by a spatially-correlated and signal-dependent noise called speckle, which is very severe and may hinder image exploitation. Desp…