no code implementations • 23 Dec 2021 • Davide Cozzolino, Diego Gragnaniello, Giovanni Poggi, Luisa Verdoliva
The ever higher quality and wide diffusion of fake images have spawn a quest for reliable forensic tools.
1 code implementation • 6 Apr 2021 • Diego Gragnaniello, Davide Cozzolino, Francesco Marra, Giovanni Poggi, Luisa Verdoliva
The advent of deep learning has brought a significant improvement in the quality of generated media.
no code implementations • 31 Oct 2020 • Michela Gravina, Diego Gragnaniello, Luisa Verdoliva, Giovanni Poggi, Iuri Corsini, Carlo Dani, Fabio Meneghin, Gianluca Lista, Salvatore Aversa, Francesco Raimondi, Fiorella Migliaro, Carlo Sansone
Lung ultrasound imaging is reaching growing interest from the scientific community.
no code implementations • 17 Jan 2020 • Davide Cozzolino, Francesco Marra, Diego Gragnaniello, Giovanni Poggi, Luisa Verdoliva
PRNU-based image processing is a key asset in digital multimedia forensics.
1 code implementation • 15 Sep 2019 • Francesco Marra, Diego Gragnaniello, Luisa Verdoliva, Giovanni Poggi
Due to limited computational and memory resources, current deep learning models accept only rather small images in input, calling for preliminary image resizing.
1 code implementation • 20 Feb 2019 • Diego Gragnaniello, Francesco Marra, Giovanni Poggi, Luisa Verdoliva
Deep neural networks provide unprecedented performance in all image classification problems, taking advantage of huge amounts of data available for training.
no code implementations • 31 Dec 2018 • Francesco Marra, Diego Gragnaniello, Luisa Verdoliva, Giovanni Poggi
In the last few years, generative adversarial networks (GAN) have shown tremendous potential for a number of applications in computer vision and related fields.
no code implementations • 25 Aug 2018 • Diego Gragnaniello, Francesco Marra, Giovanni Poggi, Luisa Verdoliva
With the ubiquitous diffusion of social networks, images are becoming a dominant and powerful communication channel.
no code implementations • 27 Nov 2013 • Davide Cozzolino, Diego Gragnaniello, Luisa Verdoliva
Image forgery localization is a very active and open research field for the difficulty to handle the large variety of manipulations a malicious user can perform by means of more and more sophisticated image editing tools.
no code implementations • 27 Nov 2013 • Davide Cozzolino, Diego Gragnaniello, Luisa Verdoliva
Dense local descriptors and machine learning have been used with success in several applications, like classification of textures, steganalysis, and forgery detection.