The ability to detect manipulated visual content is becoming increasingl...
This work presents a new unsupervised framework for training deep learni...
In latest years, deep learning has gained a leading role in the pansharp...
Detecting fake images is becoming a major goal of computer vision. This ...
Over the past decade, there has been tremendous progress in creating
syn...
Thanks to recent advances in deep learning, sophisticated generation too...
In recent years, there has been a growing interest on deep learning-base...
Synthetic aperture radar (SAR) images are affected by a spatially-correl...
Lung ultrasound imaging is reaching growing interest from the scientific...
PRNU-based image processing is a key asset in digital multimedia forensi...
Due to limited computational and memory resources, current deep learning...
Deep neural networks provide unprecedented performance in all image
clas...
In the last few years, generative adversarial networks (GAN) have shown
...
We propose a new method for SAR image despeckling which leverages inform...
With the ubiquitous diffusion of social networks, images are becoming a
...
We propose a new algorithm for the reliable detection and localization o...
Local descriptors based on the image noise residual have proven extremel...
We propose a new algorithm for fast approximate nearest neighbor search ...
We explore the use of convolutional neural networks for the semantic
cla...