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20162025
most citedDeep Graph-Convolutional Image Denoising

177 citations · 551 across the 17 of their papers we have counts for

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Showing 2021Show all

5 papers · 1 filter

eess.IV2021★ 25 cited

Semi-supervised learning for joint SAR and multispectral land cover classification

Antonio Montanaro, Diego Valsesia, Giulia Fracastoro +1

Semi-supervised learning techniques are gaining popularity due to their capability of building models that are effective, even when scarce amounts of labeled data are available. In…

stat.ML2021

COVID-19 case data for Italy stratified by age class

Giuseppe Calafiore, Giulia Fracastoro

The dataset described in this paper contains daily data about COVID-19 cases that occurred in Italy over the period from Jan. 28, 2020 to March 20, 2021, divided into ten age class…

cs.CV2021

Denoise and Contrast for Category Agnostic Shape Completion

Antonio Alliegro, Diego Valsesia, Giulia Fracastoro +2

In this paper, we present a deep learning model that exploits the power of self-supervision to perform 3D point cloud completion, estimating the missing part and a context region a…

cs.LG2021

RAN-GNNs: breaking the capacity limits of graph neural networks

Diego Valsesia, Giulia Fracastoro, Enrico Magli

Graph neural networks have become a staple in problems addressing learning and analysis of data defined over graphs. However, several results suggest an inherent difficulty in extr…

math.OC2021★ 6 cited

Optimal Clearing Payments in a Financial Contagion Model

Giuseppe Calafiore, Giulia Fracastoro, Anton V. Proskurnikov

Financial networks are characterized by complex structures of mutual obligations. These obligations are fulfilled entirely or in part (when defaults occur) via a mechanism called c…