Giulia Fracastoro

Orcid: 0000-0001-8495-1097

According to our database1, Giulia Fracastoro authored at least 46 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Deep 3D World Models for Multi-Image Super-Resolution Beyond Optical Flow.
CoRR, 2024

2023
Clearing payments in dynamic financial networks.
Autom., December, 2023

RAN-GNNs: Breaking the Capacity Limits of Graph Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., August, 2023

Multiclass Sparse Centroids With Application to Fast Time Series Classification.
IEEE Trans. Neural Networks Learn. Syst., August, 2023

Multi-Level Fusion for Burst Super-Resolution with Deep Permutation-Invariant Conditioning.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Sparse ℓ<sub>1</sub>- and ℓ<sub>2</sub>-Center Classifiers.
IEEE Trans. Neural Networks Learn. Syst., 2022

Speckle2Void: Deep Self-Supervised SAR Despeckling With Blind-Spot Convolutional Neural Networks.
IEEE Trans. Geosci. Remote. Sens., 2022

Semi-Supervised Learning for Joint SAR and Multispectral Land Cover Classification.
IEEE Geosci. Remote. Sens. Lett., 2022

Control of Dynamic Financial Networks.
IEEE Control. Syst. Lett., 2022

Control of Dynamic Financial Networks (The Extended Version).
CoRR, 2022

ClearingPayments in Dynamic Financial Networks.
CoRR, 2022

Signal Compression via Neural Implicit Representations.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Learning Localized Representations of Point Clouds With Graph-Convolutional Generative Adversarial Networks.
IEEE Trans. Multim., 2021

Learning Robust Graph-Convolutional Representations for Point Cloud Denoising.
IEEE J. Sel. Top. Signal Process., 2021

Self-supervised learning for joint SAR and multispectral land cover classification.
CoRR, 2021

Optimal Clearing Payments in a Financial Contagion Model.
CoRR, 2021

Age class structure in SIRD models for the COVID-19 - An analysis of Tennessee data.
Proceedings of the 29th Mediterranean Conference on Control and Automation, 2021

Denoise and Contrast for Category Agnostic Shape Completion.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

On Optimal Clearing Payments in Financial Networks.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020
Deep Graph-Convolutional Image Denoising.
IEEE Trans. Image Process., 2020

Graph Transform Optimization With Application to Image Compression.
IEEE Trans. Image Process., 2020

DeepSUM: Deep Neural Network for Super-Resolution of Unregistered Multitemporal Images.
IEEE Trans. Geosci. Remote. Sens., 2020

Deep learning methods for SAR image despeckling: trends and perspectives.
CoRR, 2020

NIR image colorization with graph-convolutional neural networks.
Proceedings of the 2020 IEEE International Conference on Visual Communications and Image Processing, 2020

Towards Deep Unsupervised Sar Despeckling with Blind-Spot Convolutional Neural Networks.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Deepsum++: Non-Local Deep Neural Network for Super-Resolution of Unregistered Multitemporal Images.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Point Cloud Normal Estimation with Graph-Convolutional Neural Networks.
Proceedings of the 2020 IEEE International Conference on Multimedia & Expo Workshops, 2020

Learning Graph-Convolutional Representations for Point Cloud Denoising.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
Sampling of Graph Signals via Randomized Local Aggregations.
IEEE Trans. Signal Inf. Process. over Networks, 2019

Survival and Neural Models for Private Equity Exit Prediction.
CoRR, 2019

Deep Learning For Super-Resolution Of Unregistered Multi-Temporal Satellite Images.
Proceedings of the 10th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2019

Learning Localized Generative Models for 3D Point Clouds via Graph Convolution.
Proceedings of the 7th International Conference on Learning Representations, 2019

Image Denoising with Graph-Convolutional Neural Networks.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

A Novel Framework for Designing Directional Linear Transforms with Application to Video Compression.
Proceedings of the IEEE International Conference on Acoustics, 2019

2017
Design and Optimization of Graph Transform for Image and Video Compression.
PhD thesis, 2017

Steerable Discrete Cosine Transform.
IEEE Trans. Image Process., 2017

Steerable Discrete Fourier Transform.
IEEE Signal Process. Lett., 2017

Graph-based Transform Coding with Application to Image Compression.
CoRR, 2017

2016
Steearable Discrete Cosine Transform.
CoRR, 2016

Graph transform learning for image compression.
Proceedings of the 2016 Picture Coding Symposium, 2016

Subspace-sparsifying steerable discrete cosine transform from graph fourier transform.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

2015
Corrigendum to "3D face recognition: An automatic strategy based on geometrical descriptors and landmarks" [Robot. Auton. Syst. 62(12) (2014) 1768-1776].
Robotics Auton. Syst., 2015

Steerable Discrete Cosine Transform.
Proceedings of the 17th IEEE International Workshop on Multimedia Signal Processing, 2015

Superpixel-driven graph transform for image compression.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Predictive graph construction for image compression.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

2014
3D face recognition: An automatic strategy based on geometrical descriptors and landmarks.
Robotics Auton. Syst., 2014


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