Giulia Fracastoro

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 59

Top Topics

Image Compression

Discrete Cosine Transform

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Publications

Luca Savant Aira, Diego Valsesia, Andrea Bordone Molini, Giulia Fracastoro, Enrico Magli, Andrea Mirabile
Deep 3D World Models for Multi-Image Super-Resolution Beyond Optical Flow. CoRR (2024)
Giuseppe Calafiore, Giulia Fracastoro, Anton V. Proskurnikov
Default Resilience and Worst-Case Effects in Financial Networks. CoRR (2024)
Giuseppe Carlo Calafiore, Giulia Fracastoro, Anton V. Proskurnikov
Optimal Clearing Payments in a Financial Contagion Model. SIAM J. Financial Math. 15 (2) (2024)
Diego Valsesia, Giulia Fracastoro, Enrico Magli
RAN-GNNs: Breaking the Capacity Limits of Graph Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 34 (8) (2023)
Martina Cilia, Diego Valsesia, Giulia Fracastoro, Enrico Magli
Multi-Level Fusion for Burst Super-Resolution with Deep Permutation-Invariant Conditioning. ICASSP (2023)
Giuseppe Carlo Calafiore, Giulia Fracastoro, Anton V. Proskurnikov
Clearing payments in dynamic financial networks. Autom. 158 (2023)
Tommaso Bradde, Giulia Fracastoro, Giuseppe Carlo Calafiore
Multiclass Sparse Centroids With Application to Fast Time Series Classification. IEEE Trans. Neural Networks Learn. Syst. 34 (8) (2023)
Giuseppe Carlo Calafiore, Giulia Fracastoro, Anton V. Proskurnikov
Control of Dynamic Financial Networks (The Extended Version). CoRR (2022)
Andrea Bordone Molini, Diego Valsesia, Giulia Fracastoro, Enrico Magli
Speckle2Void: Deep Self-Supervised SAR Despeckling With Blind-Spot Convolutional Neural Networks. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Francesca Pistilli, Diego Valsesia, Giulia Fracastoro, Enrico Magli
Signal Compression via Neural Implicit Representations. ICASSP (2022)
Antonio Montanaro, Diego Valsesia, Giulia Fracastoro, Enrico Magli
Semi-Supervised Learning for Joint SAR and Multispectral Land Cover Classification. IEEE Geosci. Remote. Sens. Lett. 19 (2022)
Giuseppe Carlo Calafiore, Giulia Fracastoro, Anton V. Proskurnikov
Control of Dynamic Financial Networks. IEEE Control. Syst. Lett. 6 (2022)
Giuseppe Carlo Calafiore, Giulia Fracastoro
-Center Classifiers. IEEE Trans. Neural Networks Learn. Syst. 33 (3) (2022)
Giuseppe Calafiore, Giulia Fracastoro, Anton V. Proskurnikov
Clearing Payments in Dynamic Financial Networks. CCTA (2022)
Giuseppe Carlo Calafiore, Giulia Fracastoro, Anton V. Proskurnikov
ClearingPayments in Dynamic Financial Networks. CoRR (2022)
Francesca Pistilli, Giulia Fracastoro, Diego Valsesia, Enrico Magli
Learning Robust Graph-Convolutional Representations for Point Cloud Denoising. IEEE J. Sel. Top. Signal Process. 15 (2) (2021)
Giuseppe Carlo Calafiore, Giulia Fracastoro, Anton V. Proskurnikov
Optimal Clearing Payments in a Financial Contagion Model. CoRR (2021)
Antonio Alliegro, Diego Valsesia, Giulia Fracastoro, Enrico Magli, Tatiana Tommasi
Denoise and Contrast for Category Agnostic Shape Completion. CVPR (2021)
Diego Valsesia, Giulia Fracastoro, Enrico Magli
RAN-GNNs: breaking the capacity limits of graph neural networks. CoRR (2021)
Giuseppe Carlo Calafiore, Giulia Fracastoro
Age class structure in SIRD models for the COVID-19 - An analysis of Tennessee data. MED (2021)
Diego Valsesia, Giulia Fracastoro, Enrico Magli
Learning Localized Representations of Point Clouds With Graph-Convolutional Generative Adversarial Networks. IEEE Trans. Multim. 23 (2021)
Giuseppe Carlo Calafiore, Giulia Fracastoro, Anton V. Proskurnikov
On Optimal Clearing Payments in Financial Networks. CDC (2021)
Antonio Alliegro, Diego Valsesia, Giulia Fracastoro, Enrico Magli, Tatiana Tommasi
Denoise and Contrast for Category Agnostic Shape Completion. CoRR (2021)
Antonio Montanaro, Diego Valsesia, Giulia Fracastoro, Enrico Magli
Self-supervised learning for joint SAR and multispectral land cover classification. CoRR (2021)
Giulia Fracastoro, Enrico Magli, Giovanni Poggi, Giuseppe Scarpa, Diego Valsesia, Luisa Verdoliva
Deep learning methods for SAR image despeckling: trends and perspectives. CoRR (2020)
Francesca Pistilli, Giulia Fracastoro, Diego Valsesia, Enrico Magli
Learning Graph-Convolutional Representations for Point Cloud Denoising. ECCV (20) (2020)
Andrea Bordone Molini, Diego Valsesia, Giulia Fracastoro, Enrico Magli
Towards Deep Unsupervised Sar Despeckling with Blind-Spot Convolutional Neural Networks. IGARSS (2020)
Andrea Bordone Molini, Diego Valsesia, Giulia Fracastoro, Enrico Magli
Speckle2Void: Deep Self-Supervised SAR Despeckling with Blind-Spot Convolutional Neural Networks. CoRR (2020)
Diego Valsesia, Giulia Fracastoro, Enrico Magli
NIR image colorization with graph-convolutional neural networks. VCIP (2020)
Giulia Fracastoro, Dorina Thanou, Pascal Frossard
Graph Transform Optimization With Application to Image Compression. IEEE Trans. Image Process. 29 (2020)
Diego Valsesia, Giulia Fracastoro, Enrico Magli
Deep Graph-Convolutional Image Denoising. IEEE Trans. Image Process. 29 (2020)
Andrea Bordone Molini, Diego Valsesia, Giulia Fracastoro, Enrico Magli
DeepSUM++: Non-local Deep Neural Network for Super-Resolution of Unregistered Multitemporal Images. CoRR (2020)
Andrea Bordone Molini, Diego Valsesia, Giulia Fracastoro, Enrico Magli
Towards Deep Unsupervised SAR Despeckling with Blind-Spot Convolutional Neural Networks. CoRR (2020)
Francesca Pistilli, Giulia Fracastoro, Diego Valsesia, Enrico Magli
Point Cloud Normal Estimation with Graph-Convolutional Neural Networks. ICME Workshops (2020)
Andrea Bordone Molini, Diego Valsesia, Giulia Fracastoro, Enrico Magli
DeepSUM: Deep Neural Network for Super-Resolution of Unregistered Multitemporal Images. IEEE Trans. Geosci. Remote. Sens. 58 (5) (2020)
Andrea Bordone Molini, Diego Valsesia, Giulia Fracastoro, Enrico Magli
Deepsum++: Non-Local Deep Neural Network for Super-Resolution of Unregistered Multitemporal Images. IGARSS (2020)
Francesca Pistilli, Giulia Fracastoro, Diego Valsesia, Enrico Magli
Learning Graph-Convolutional Representations for Point Cloud Denoising. CoRR (2020)
Diego Valsesia, Giulia Fracastoro, Enrico Magli
Image Denoising with Graph-Convolutional Neural Networks. CoRR (2019)
Giuseppe Carlo Calafiore, Marisa Hillary Morales, Vittorio Tiozzo, Giulia Fracastoro, Serge Marquie
Survival and Neural Models for Private Equity Exit Prediction. CoRR (2019)
Diego Valsesia, Giulia Fracastoro, Enrico Magli
Deep Graph-Convolutional Image Denoising. CoRR (2019)
Maurizio Masera, Giulia Fracastoro, Maurizio Martina, Enrico Magli
A Novel Framework for Designing Directional Linear Transforms with Application to Video Compression. ICASSP (2019)
Andrea Bordone Molini, Diego Valsesia, Giulia Fracastoro, Enrico Magli
Deep Learning For Super-Resolution Of Unregistered Multi-Temporal Satellite Images. WHISPERS (2019)
Diego Valsesia, Giulia Fracastoro, Enrico Magli
Image Denoising with Graph-Convolutional Neural Networks. ICIP (2019)
Diego Valsesia, Giulia Fracastoro, Enrico Magli
Learning Localized Generative Models for 3D Point Clouds via Graph Convolution. ICLR (Poster) (2019)
Andrea Bordone Molini, Diego Valsesia, Giulia Fracastoro, Enrico Magli
DeepSUM: Deep neural network for Super-resolution of Unregistered Multitemporal images. CoRR (2019)
Giuseppe Carlo Calafiore, Giulia Fracastoro
Center Classifiers. CoRR (2019)
Diego Valsesia, Giulia Fracastoro, Enrico Magli
Sampling of Graph Signals via Randomized Local Aggregations. IEEE Trans. Signal Inf. Process. over Networks 5 (2) (2019)
Diego Valsesia, Giulia Fracastoro, Enrico Magli
Sampling of graph signals via randomized local aggregations. CoRR (2018)
Giulia Fracastoro, Enrico Magli
Steerable Discrete Fourier Transform. CoRR (2017)
Giulia Fracastoro, Enrico Magli
Steerable Discrete Fourier Transform. IEEE Signal Process. Lett. 24 (3) (2017)
Giulia Fracastoro, Sophie M. Fosson, Enrico Magli
Steerable Discrete Cosine Transform. IEEE Trans. Image Process. 26 (1) (2017)
Giulia Fracastoro, Dorina Thanou, Pascal Frossard
Graph-based Transform Coding with Application to Image Compression. CoRR (2017)
Giulia Fracastoro, Enrico Magli
Subspace-sparsifying steerable discrete cosine transform from graph fourier transform. ICIP (2016)
Giulia Fracastoro, Dorina Thanou, Pascal Frossard
Graph transform learning for image compression. PCS (2016)
Giulia Fracastoro, Sophie Marie Fosson, Enrico Magli
Steearable Discrete Cosine Transform. CoRR (2016)
Giulia Fracastoro, Enrico Magli
Predictive graph construction for image compression. ICIP (2015)
Giulia Fracastoro, Francesco Verdoja, Marco Grangetto, Enrico Magli
Superpixel-driven graph transform for image compression. ICIP (2015)
Enrico Vezzetti, Federica Marcolin, Giulia Fracastoro
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. 64 (2015)
Giulia Fracastoro, Enrico Magli
Steerable Discrete Cosine Transform. MMSP (2015)
Enrico Vezzetti, Federica Marcolin, Giulia Fracastoro
3D face recognition: An automatic strategy based on geometrical descriptors and landmarks. Robotics Auton. Syst. 62 (12) (2014)