Giovanni Poggi | DeepAI

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Featured Co-authors

Luisa Verdoliva
37 publications
Enrico Magli
29 publications
Davide Cozzolino
24 publications
Diego Valsesia
22 publications
Giulia Fracastoro
19 publications
Koki Nagano
16 publications
Sergio Vitale
8 publications
Diego Gragnaniello
8 publications
Giuseppe Scarpa
7 publications
Francesco Marra
6 publications
Marco Castelluccio
5 publications

∙ 09/14/2023

M3Dsynth: A dataset of medical 3D images with AI-generated local manipulations

The ability to detect manipulated visual content is becoming increasingl...

0 Giada Zingarini, et al. ∙

∙ 07/27/2023

A full-resolution training framework for Sentinel-2 image fusion

This work presents a new unsupervised framework for training deep learni...

0 Matteo Ciotola, et al. ∙

∙ 07/26/2023

Unsupervised Deep Learning-based Pansharpening with Jointly-Enhanced Spectral and Spatial Fidelity

In latest years, deep learning has gained a leading role in the pansharp...

0 Matteo Ciotola, et al. ∙

∙ 04/13/2023

Intriguing properties of synthetic images: from generative adversarial networks to diffusion models

Detecting fake images is becoming a major goal of computer vision. This ...

0 Riccardo Corvi, et al. ∙

∙ 11/01/2022

On the detection of synthetic images generated by diffusion models

Over the past decade, there has been tremendous progress in creating syn...

0 Riccardo Corvi, et al. ∙

∙ 09/28/2022

Deepfake audio detection by speaker verification

Thanks to recent advances in deep learning, sophisticated generation too...

0 Alessandro Pianese, et al. ∙

∙ 11/16/2021

Pansharpening by convolutional neural networks in the full resolution framework

In recent years, there has been a growing interest on deep learning-base...

4 Matteo Ciotola, et al. ∙

∙ 12/10/2020

Deep learning methods for SAR image despeckling: trends and perspectives

Synthetic aperture radar (SAR) images are affected by a spatially-correl...

0 Giulia Fracastoro, et al. ∙

∙ 10/31/2020

Deep learning in the ultrasound evaluation of neonatal respiratory status

Lung ultrasound imaging is reaching growing interest from the scientific...

0 Michela Gravina, et al. ∙

∙ 01/17/2020

Combining PRNU and noiseprint for robust and efficient device source identification

PRNU-based image processing is a key asset in digital multimedia forensi...

0 Davide Cozzolino, et al. ∙

∙ 09/15/2019

A Full-Image Full-Resolution End-to-End-Trainable CNN Framework for Image Forgery Detection

Due to limited computational and memory resources, current deep learning...

24 Francesco Marra, et al. ∙

∙ 02/20/2019

Perceptual Quality-preserving Black-Box Attack against Deep Learning Image Classifiers

Deep neural networks provide unprecedented performance in all image clas...

0 Diego Gragnaniello, et al. ∙

∙ 12/31/2018

Do GANs leave artificial fingerprints?

In the last few years, generative adversarial networks (GAN) have shown ...

0 Francesco Marra, et al. ∙

∙ 11/28/2018

Guided patch-wise nonlocal SAR despeckling

We propose a new method for SAR image despeckling which leverages inform...

2 Sergio Vitale, et al. ∙

∙ 08/25/2018

Analysis of adversarial attacks against CNN-based image forgery detectors

With the ubiquitous diffusion of social networks, images are becoming a ...

0 Diego Gragnaniello, et al. ∙

∙ 03/14/2017

A PatchMatch-based Dense-field Algorithm for Video Copy-Move Detection and Localization

We propose a new algorithm for the reliable detection and localization o...

0 Luca D'Amiano, et al. ∙

∙ 03/14/2017

Recasting Residual-based Local Descriptors as Convolutional Neural Networks: an Application to Image Forgery Detection

Local descriptors based on the image noise residual have proven extremel...

0 Davide Cozzolino, et al. ∙

∙ 09/11/2015

A reliable order-statistics-based approximate nearest neighbor search algorithm

We propose a new algorithm for fast approximate nearest neighbor search ...

0 Luisa Verdoliva, et al. ∙

∙ 08/01/2015

Land Use Classification in Remote Sensing Images by Convolutional Neural Networks

We explore the use of convolutional neural networks for the semantic cla...

0 Marco Castelluccio, et al. ∙

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