Follow
Diego Valsesia
Title
Cited by
Cited by
Year
Learning localized generative models for 3d point clouds via graph convolution
D Valsesia, G Fracastoro, E Magli
International conference on learning representations, 2018
1832018
Deep graph-convolutional image denoising
D Valsesia, G Fracastoro, E Magli
IEEE Transactions on Image Processing 29, 8226-8237, 2020
1622020
Deepsum: Deep neural network for super-resolution of unregistered multitemporal images
AB Molini, D Valsesia, G Fracastoro, E Magli
IEEE Transactions on Geoscience and Remote Sensing 58 (5), 3644-3656, 2019
1472019
Compressed fingerprint matching and camera identification via random projections
D Valsesia, G Coluccia, T Bianchi, E Magli
IEEE Transactions on Information Forensics and Security 10 (7), 1472-1485, 2015
1032015
Speckle2Void: Deep self-supervised SAR despeckling with blind-spot convolutional neural networks
AB Molini, D Valsesia, G Fracastoro, E Magli
IEEE Transactions on Geoscience and Remote Sensing 60, 1-17, 2021
992021
Learning graph-convolutional representations for point cloud denoising
F Pistilli, G Fracastoro, D Valsesia, E Magli
European conference on computer vision, 103-118, 2020
792020
A novel rate control algorithm for onboard predictive coding of multispectral and hyperspectral images
D Valsesia, E Magli
IEEE Transactions on Geoscience and Remote Sensing 52 (10), 6341-6355, 2014
662014
Image Denoising with Graph-Convolutional Neural Networks
D Valsesia, G Fracastoro, E Magli
2019 IEEE International Conference on Image Processing (ICIP), 2399-2403, 2019
622019
User authentication via PRNU-based physical unclonable functions
D Valsesia, G Coluccia, T Bianchi, E Magli
IEEE Transactions on Information Forensics and Security 12 (8), 1941-1956, 2017
622017
Deep learning methods for synthetic aperture radar image despeckling: An overview of trends and perspectives
G Fracastoro, E Magli, G Poggi, G Scarpa, D Valsesia, L Verdoliva
IEEE Geoscience and Remote Sensing Magazine 9 (2), 29-51, 2021
582021
High-throughput onboard hyperspectral image compression with ground-based CNN reconstruction
D Valsesia, E Magli
IEEE transactions on geoscience and remote sensing 57 (12), 9544-9553, 2019
482019
Large-scale image retrieval based on compressed camera identification
D Valsesia, G Coluccia, T Bianchi, E Magli
IEEE Transactions on Multimedia 17 (9), 1439-1449, 2015
422015
Denoise and contrast for category agnostic shape completion
A Alliegro, D Valsesia, G Fracastoro, E Magli, T Tommasi
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
382021
Permutation invariance and uncertainty in multitemporal image super-resolution
D Valsesia, E Magli
IEEE Transactions on Geoscience and Remote Sensing 60, 1-12, 2021
372021
Learning localized representations of point clouds with graph-convolutional generative adversarial networks
D Valsesia, G Fracastoro, E Magli
IEEE Transactions on Multimedia 23, 402-414, 2020
372020
Fast and lightweight rate control for onboard predictive coding of hyperspectral images
D Valsesia, E Magli
IEEE Geoscience and Remote Sensing Letters 14 (3), 394-398, 2017
342017
Learning robust graph-convolutional representations for point cloud denoising
F Pistilli, G Fracastoro, D Valsesia, E Magli
IEEE Journal of Selected Topics in Signal Processing 15 (2), 402-414, 2020
332020
Sampling of graph signals via randomized local aggregations
D Valsesia, G Fracastoro, E Magli
IEEE Transactions on Signal and Information Processing over Networks 5 (2 …, 2018
332018
Universal encoding of multispectral images
D Valsesia, PT Boufounos
2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016
272016
Compressed Sensing for Privacy-Preserving Data Processing
M Testa, D Valsesia, T Bianchi, E Magli
Springer, 2019
252019
The system can't perform the operation now. Try again later.
Articles 1–20