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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 2019Show all

5 papers · 1 filter

cs.LG2019

Survival and Neural Models for Private Equity Exit Prediction

Giuseppe C. Calafiore, Marisa H. Morales, Vittorio Tiozzo +2

Within the Private Equity (PE) market, the event of a private company undertaking an Initial Public Offering (IPO) is usually a very high-return one for the investors in the compan…

cs.LG2019

Sparse and Center Classifiers

Giuseppe C. Calafiore, Giulia Fracastoro

The nearest-centroid classifier is a simple linear-time classifier based on computing the centroids of the data classes in the training phase, and then assigning a new datum to the…

eess.IV2019★ 177 cited

Deep Graph-Convolutional Image Denoising

Diego Valsesia, Giulia Fracastoro, Enrico Magli

Non-local self-similarity is well-known to be an effective prior for the image denoising problem. However, little work has been done to incorporate it in convolutional neural netwo…

eess.IV2019★ 125 cited

DeepSUM: Deep neural network for Super-resolution of Unregistered Multitemporal images

Andrea Bordone Molini, Diego Valsesia, Giulia Fracastoro +1

Recently, convolutional neural networks (CNN) have been successfully applied to many remote sensing problems. However, deep learning techniques for multi-image super-resolution fro…

eess.IV2019

Image Denoising with Graph-Convolutional Neural Networks

Diego Valsesia, Giulia Fracastoro, Enrico Magli

Recovering an image from a noisy observation is a key problem in signal processing. Recently, it has been shown that data-driven approaches employing convolutional neural networks…