no code implementations • 12 Jan 2024 • Alessandro Gnutti, Stefano Della Fiore, Mattia Savardi, Yi-Hsin Chen, Riccardo Leonardi, Wen-Hsiao Peng
In this paper, we introduce a novel direction that harnesses LiDAR depth maps to enhance the compression of the corresponding RGB camera images.
no code implementations • 4 Nov 2022 • Michele Svanera, Mattia Savardi, Alberto Signoroni, Sergio Benini, Lars Muckli
We ensure robustness across sites by training the model on an unprecedented rich dataset aggregating data from open repositories: almost 27, 000 T1w volumes from around 160 acquisition sites, at 1. 5 - 3T, from a population spanning from 8 to 90 years old.
no code implementations • Data in Brief 2021 • Mattia Savardi, András Bálint Kovács, Alberto Signoroni, Sergio Benini
We provide a database containing shot scale annotations (i. e., the apparent distance of the camera from the subject of a filmed scene) for more than 792, 000 image frames.
2 code implementations • 8 Jun 2020 • Alberto Signoroni, Mattia Savardi, Sergio Benini, Nicola Adami, Riccardo Leonardi, Paolo Gibellini, Filippo Vaccher, Marco Ravanelli, Andrea Borghesi, Roberto Maroldi, Davide Farina
In this work we design an end-to-end deep learning architecture for predicting, on Chest X-rays images (CXR), a multi-regional score conveying the degree of lung compromise in COVID-19 patients.