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Giulia Fracastoro
Giulia Fracastoro
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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
1842018
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
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
Steerable discrete cosine transform
G Fracastoro, SM Fosson, E Magli
IEEE Transactions on Image Processing 26 (1), 303-314, 2017
662017
Steerable discrete cosine transform
G Fracastoro, E Magli
IEEE International Workshop on Multimedia Signal Processing (MMSP), 1-6, 2015
662015
Image Denoising with Graph-Convolutional Neural Networks
D Valsesia, G Fracastoro, E Magli
2019 IEEE International Conference on Image Processing (ICIP), 2019
622019
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
3D face recognition: An automatic strategy based on geometrical descriptors and landmarks
E Vezzetti, F Marcolin, G Fracastoro
Robotics and Autonomous Systems 62 (12), 1768-1776, 2014
562014
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
Cleft lip pathology diagnosis and foetal landmark extraction via 3D geometrical analysis
S Moos, F Marcolin, S Tornincasa, E Vezzetti, MG Violante, G Fracastoro, ...
International Journal on Interactive Design and Manufacturing (IJIDeM) 11, 1-18, 2017
382017
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
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
Superpixel-driven graph transform for image compression
G Fracastoro, F Verdoja, M Grangetto, E Magli
2015 IEEE International Conference on Image Processing (ICIP), 2631-2635, 2015
322015
Graph transform optimization with application to image compression
G Fracastoro, D Thanou, P Frossard
IEEE Transactions on Image Processing 29, 419-432, 2019
272019
Diagnosing cleft lip pathology in 3d ultrasound: A landmarking-based approach
E Vezzetti, D Speranza, F Marcolin, G Fracastoro
Image Analysis and Stereology 35 (1), 53-65, 2016
252016
Predictive graph construction for image compression
G Fracastoro, E Magli
2015 IEEE International Conference on Image Processing (ICIP), 2204-2208, 2015
252015
Steerable discrete Fourier transform
G Fracastoro, E Magli
IEEE Signal Processing Letters 24 (3), 319-323, 2017
212017
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Articles 1–20