1 citations · 1 across the 2 of their papers we have counts for
4 papers
Optimal Weighted Convolution for Classification and Denosing
Simone Cammarasana, Giuseppe Patanè
We introduce a novel weighted convolution operator that enhances traditional convolutional neural networks (CNNs) by integrating a spatial density function into the convolution ope…
Optimal Density Functions for Weighted Convolution in Learning Models
Simone Cammarasana, Giuseppe Patanè
The paper introduces the weighted convolution, a novel approach to the convolution for signals defined on regular grids (e.g., 2D images) through the application of an optimal dens…
Learning-Based and Quality Preserving Super-Resolution of Noisy Images
Simone Cammarasana, Giuseppe Patanè
Several applications require the super-resolution of noisy images and the preservation of geometrical and texture features. State-of-the-art super-resolution methods do not account…
HPC-based Solvers of Minimisation Problems for Signal Processing
Simone Cammarasana, Giuseppe Patanè
Several physics and engineering applications involve the solution of a minimisation problem to compute an approximation of the input signal. Modern computing hardware and software…