22 citations · 83 across the 21 of their papers we have counts for
7 papers · 1 filter
CSIM: A Copula-based similarity index sensitive to local changes for Image quality assessment
Safouane El Ghazouali, Umberto Michelucci, Yassin El Hillali +1
Image similarity metrics play an important role in computer vision applications, as they are used in image processing, computer vision and machine learning. Furthermore, those metr…
Deep Learning Domain Adaptation to Understand Physico-Chemical Processes from Fluorescence Spectroscopy Small Datasets: Application to Ageing of Olive Oil
Umberto Michelucci, Francesca Venturini
Fluorescence spectroscopy is a fundamental tool in life sciences and chemistry, widely used for applications such as environmental monitoring, food quality control, and biomedical…
Class-Conditional self-reward mechanism for improved Text-to-Image models
Safouane El Ghazouali, Arnaud Gucciardi, Umberto Michelucci
Self-rewarding have emerged recently as a powerful tool in the field of Natural Language Processing (NLP), allowing language models to generate high-quality relevant responses by p…
FusionVision: A comprehensive approach of 3D object reconstruction and segmentation from RGB-D cameras using YOLO and fast segment anything
Safouane El Ghazouali, Youssef Mhirit, Ali Oukhrid +2
In the realm of computer vision, the integration of advanced techniques into the processing of RGB-D camera inputs poses a significant challenge, given the inherent complexities ar…
FlightScope: An Experimental Comparative Review of Aircraft Detection Algorithms in Satellite Imagery
Safouane El Ghazouali, Arnaud Gucciardi, Francesca Venturini +3
Object detection in remotely sensed satellite pictures is fundamental in many fields such as biophysical, and environmental monitoring. While deep learning algorithms are constantl…
BenchCloudVision: A Benchmark Analysis of Deep Learning Approaches for Cloud Detection and Segmentation in Remote Sensing Imagery
Loddo Fabio, Dario Piga, Michelucci Umberto +1
Satellites equipped with optical sensors capture high-resolution imagery, providing valuable insights into various environmental phenomena. In recent years, there has been a surge…