Enrico Magli

ORCID

Publication Activity (10 Years)

Years Active: 1998-2024
Publications (10 Years): 132

Top Venues

Publications

Emanuele Aiello, Mirko Agarla, Diego Valsesia, Paolo Napoletano, Tiziano Bianchi, Enrico Magli, Raimondo Schettini
Synthetic Data Pretraining for Hyperspectral Image Super-Resolution. IEEE Access 12 (2024)
Shuyang Li, Enrico Magli, Gianluca Francini, Giorgio Ghinamo
Deep learning based prediction of traffic peaks in mobile networks. Comput. Networks 240 (2024)
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)
Luca Savant Aira, Diego Valsesia, Enrico Magli
Modeling uncertainty for Gaussian Splatting. CoRR (2024)
Luca Savant Aira, Antonio Montanaro, Emanuele Aiello, Diego Valsesia, Enrico Magli
MotionCraft: Physics-based Zero-Shot Video Generation. CoRR (2024)
Shuyang Li, Enrico Magli, Gianluca Francini
Exploring Time Series Variability: A Training-Efficient Mobile Traffic Predictor. WCNC (2024)
Arslan Ali, Andrea Migliorati, Tiziano Bianchi, Enrico Magli
Cancelable templates for secure face verification based on deep learning and random projections. EURASIP J. Inf. Secur. 2024 (1) (2024)
Diego Valsesia, Tiziano Bianchi, Enrico Magli
Onboard deep lossless and near-lossless predictive coding of hyperspectral images with line-based attention. CoRR (2024)
Emanuele Aiello, Diego Valsesia, Enrico Magli
Fast Inference in Denoising Diffusion Models via MMD Finetuning. IEEE Access 12 (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)
Tiziano Bianchi, Donatella Guzzi, Cinzia Lastri, Enrico Magli, Vanni Nardino, Lorenzo Palombi, Nicola Prette, Valentina Raimondi, Diego Valsesia
Diffraction Efficiency-Aware Reconstruction for Compressive Sensing in the Mid-Infrared. IGARSS (2023)
Martina Cilia, Diego Valsesia, Giulia Fracastoro, Enrico Magli
Multi-Level Fusion for Burst Super-Resolution with Deep Permutation-Invariant Conditioning. ICASSP (2023)
Shuyang Li, Enrico Magli, Gianluca Francini
TDANet: An Efficient Solution For Short-Term Mobile Traffic Forecasting. VTC2023-Spring (2023)
Tiziano Bianchi, Martina Cilia, Enrico Magli, Andrea Migliorati, Nicola Prette, Diego Valsesia
Onboard Processing Capabilities of an Earth Observation Compressive Sensing Payload. IGARSS (2023)
Arslan Ali, Andrea Migliorati, Tiziano Bianchi, Enrico Magli
Gaussian class-conditional simplex loss for accurate, adversarially robust deep classifier training. EURASIP J. Inf. Secur. 2023 (1) (2023)
Shuyang Li, Enrico Magli, Gianluca Francini
To be Conservative or to be Aggressive? A Risk-Adaptive Mixture of Experts for Mobile Traffic Forecasting. ICC (2023)
Andrea Nardin, Fabio Dovis, Diego Valsesia, Enrico Magli, Chiara Leuzzi, Rosario Messineo, Hugo Sobreira, Richard Swinden
On the Use of Machine Learning Algorithms to Improve GNSS Products. PLANS (2023)
Nicola Prette, Diego Valsesia, Tiziano Bianchi, Enrico Magli
Towards Unsupervised Multi-Temporal Satellite Image Super-Resolution. IGARSS (2023)
Shuyang Li, Gianluca Francini, Enrico Magli
Temporal dynamics clustering for analyzing cell behavior in mobile networks. Comput. Networks 223 (2023)
Ivan V. Bajic, Marta Mrak, Frédéric Dufaux, Enrico Magli, Tsuhan Chen
Multimedia Signal Processing: A history of the Multimedia Signal Processing Technical Committee. IEEE Signal Process. Mag. 40 (4) (2023)
Antonio Montanaro, Diego Valsesia, Enrico Magli
Towards Hyperbolic Regularizers For Point Cloud Part Segmentation. ICASSP (2023)
Vanni Nardino, Donatella Guzzi, Cinzia Lastri, Lorenzo Palombi, Giulio Coluccia, Enrico Magli, Demetrio Labate, Valentina Raimondi
Compressive Sensing Imaging Spectrometer for UV-Vis Stellar Spectroscopy: Instrumental Concept and Performance Analysis. Sensors 23 (4) (2023)
Emanuele Aiello, Diego Valsesia, Enrico Magli
Fast Inference in Denoising Diffusion Models via MMD Finetuning. CoRR (2023)
Gabriele Inzerillo, Diego Valsesia, Enrico Magli, Fabrizio Niro, Erminia De Grandis
Proba-V Multi-Temporal Super-Resolution Guided by Sentinel-2. IGARSS (2023)
Emanuele Aiello, Diego Valsesia, Enrico Magli
Cross-modal Learning for Image-Guided Point Cloud Shape Completion. NeurIPS (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)
Emanuele Aiello, Diego Valsesia, Enrico Magli
Cross-modal Learning for Image-Guided Point Cloud Shape Completion. CoRR (2022)
Antonio Montanaro, Diego Valsesia, Enrico Magli
Rethinking the compositionality of point clouds through regularization in the hyperbolic space. NeurIPS (2022)
Diego Valsesia, Enrico Magli
Super-Resolved Multi-Temporal Segmentation with Deep Permutation-Invariant Networks. IGARSS (2022)
Diego Valsesia, Enrico Magli
Super-resolved multi-temporal segmentation with deep permutation-invariant networks. CoRR (2022)
Diego Valsesia, Enrico Magli
Permutation Invariance and Uncertainty in Multitemporal Image Super-Resolution. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Antonio Montanaro, Diego Valsesia, Enrico Magli
Exploring the Solution Space of Linear Inverse Problems with GAN Latent Geometry. ICIP (2022)
Antonio Montanaro, Diego Valsesia, Enrico Magli
Exploring the solution space of linear inverse problems with GAN latent geometry. CoRR (2022)
Antonio Montanaro, Diego Valsesia, Enrico Magli
Rethinking the compositionality of point clouds through regularization in the hyperbolic space. 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)
Antonio Alliegro, Diego Valsesia, Giulia Fracastoro, Enrico Magli, Tatiana Tommasi
Denoise and Contrast for Category Agnostic Shape Completion. CVPR (2021)
Murray Kerr, Stefania Tonetti, Stefania Carnara, Juan Ignacio Bravo, Robert Hinz, Antonio Latorre, Francisco Membibre, Alexis Ramos, Stefan Wiehle, Otto Koudelka, Enrico Magli, Riccardo Freddi, Silvia Fraile, Cecilia Marcos
EO-Alert: A Satellite Architecture for Detection and Monitoring of Extreme Events in Real Time. IGARSS (2021)
Diego Valsesia, Giulia Fracastoro, Enrico Magli
RAN-GNNs: breaking the capacity limits of graph neural networks. CoRR (2021)
Muhammad Abeer Irfan, Enrico Magli
Exploiting color for graph-based 3D point cloud denoising. J. Vis. Commun. Image Represent. 75 (2021)
Michele Caon, Paolo Motto Ros, Maurizio Martina, Tiziano Bianchi, Enrico Magli, Francisco Membibre, Alexis Ramos, Antonio Latorre, Murray Kerr, Stefan Wiehle, Helko Breit, Dominik Günzel, Srikanth Mandapati, Ulrich Balss, Björn Tings
Very Low Latency Architecture for Earth Observation Satellite Onboard Data Handling, Compression, and Encryption. IGARSS (2021)
Diego Valsesia, Giulia Fracastoro, Enrico Magli
Learning Localized Representations of Point Clouds With Graph-Convolutional Generative Adversarial Networks. IEEE Trans. Multim. 23 (2021)
Diego Valsesia, Enrico Magli
Permutation invariance and uncertainty in multitemporal image super-resolution. CoRR (2021)
Muhammad Abeer Irfan, Enrico Magli
Joint Geometry and Color Point Cloud Denoising Based on Graph Wavelets. IEEE Access 9 (2021)
Valentina Raimondi, Luigi Acampora, Gabriele Amato, Massimo Baldi, Dirk Berndt, Alberto Bianchi, Tiziano Bianchi, Donato Borrelli, Valentina Colcelli, Chiara Corti, Francesco Corti, Marco Corti, Nick Cox, Ulrike A. Dauderstädt, Peter Dürr, Sara Francés González, Paolo Frosini, Donatella Guzzi, Jessica Huntingford, Detlef Kunze, Demetrio Labate, Nicolas Lamquin, Cinzia Lastri, Enrico Magli, Vanni Nardino, Christophe Pache, Lorenzo Palombi, Irene Pettinelli, Giuseppe Pilato, Alexandre Pollini, Leopoldo Rossini, Enrico Suetta, Davide Taricco, Diego Valsesia, Michael Wagner
Spatial Light Modulator-Based Architecture to Implement a Super-Resolved Compressive Instrument for Earth Observation. IGARSS (2021)
Paolo Motto Ros, Michele Caon, Tiziano Bianchi, Maurizio Martina, Enrico Magli
High-Level Synthesis of a Single/Multi-Band Optical and SAR Image Compression and Encryption Hardware Accelerator. IGARSS (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)
Arslan Ali, Andrea Migliorati, Tiziano Bianchi, Enrico Magli
Beyond cross-entropy: learning highly separable feature distributions for robust and accurate classification. ICPR (2020)
Arslan Ali, Andrea Migliorati, Tiziano Bianchi, Enrico Magli
Beyond cross-entropy: learning highly separable feature distributions for robust and accurate classification. CoRR (2020)
Andrea Bordone Molini, Diego Valsesia, Giulia Fracastoro, Enrico Magli
Towards Deep Unsupervised Sar Despeckling with Blind-Spot Convolutional Neural Networks. IGARSS (2020)
Diego Valsesia, Andrea Grippi, Enrico Magli, Roberto Susino, Daniele Telloni, Gianalfredo Nicolini, Marta Casti, Angelo Fabio Mulone, Rosario Messineo
Detection of Solar Coronal Mass Ejections from Raw Images with Deep 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)
Diego Valsesia, Giulia Fracastoro, Enrico Magli
Deep Graph-Convolutional Image Denoising. IEEE Trans. Image Process. 29 (2020)
Arslan Ali, Matteo Testa, Tiziano Bianchi, Enrico Magli
BioMetricNet: Deep Unconstrained Face Verification Through Learning of Metrics Regularized onto Gaussian Distributions. ECCV (25) (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)
Arslan Ali, Matteo Testa, Tiziano Bianchi, Enrico Magli
BioMetricNet: deep unconstrained face verification through learning of metrics regularized onto Gaussian distributions. CoRR (2020)
Arslan Ali, Matteo Testa, Lev Markhasin, Tiziano Bianchi, Enrico Magli
Adversarial Learning of Mappings Onto Regularized Spaces for Biometric Authentication. IEEE Access 8 (2020)
Andrea Bordone Molini, Diego Valsesia, Giulia Fracastoro, Enrico Magli
Towards Deep Unsupervised SAR Despeckling with Blind-Spot Convolutional Neural Networks. CoRR (2020)
Muhammad Abeer Irfan, Enrico Magli
Point Cloud Denoising using Joint Geometry/Color Graph Wavelets. SiPS (2020)
Francesca Pistilli, Giulia Fracastoro, Diego Valsesia, Enrico Magli
Point Cloud Normal Estimation with Graph-Convolutional Neural Networks. ICME Workshops (2020)
Martina Cilia, Nicola Prette, Enrico Magli, Bernhard Sang, Stefano Pieraccini
Onboard Data Reduction for Multispectral and Hyperspectral Images via Cloud Screening. IGARSS (2020)
Muhammad Abeer Irfan, Enrico Magli
3D Point Cloud Denoising Using a Joint Geometry and Color k-NN Graph. EUSIPCO (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)
Giulio Coluccia, Cinzia Lastri, Donatella Guzzi, Enrico Magli, Vanni Nardino, Lorenzo Palombi, Ivan Pippi, Valentina Raimondi, Chiara Ravazzi, Florin Garoi, Daniela Coltuc, Raffaele Vitulli, Alessandro Zuccaro Marchi
Optical Compressive Imaging Technologies for Space Big Data. IEEE Trans. Big Data 6 (3) (2020)
Francesca Pistilli, Giulia Fracastoro, Diego Valsesia, Enrico Magli
Learning Graph-Convolutional Representations for Point Cloud Denoising. CoRR (2020)
Matteo Testa, Tiziano Bianchi, Enrico Magli
Secrecy Analysis of Finite-Precision Compressive Cryptosystems. IEEE Trans. Inf. Forensics Secur. 15 (2020)
Diego Valsesia, Giulia Fracastoro, Enrico Magli
Image Denoising with Graph-Convolutional Neural Networks. CoRR (2019)
Diego Valsesia, Enrico Magli
High-throughput Onboard Hyperspectral Image Compression with Ground-based CNN Reconstruction. CoRR (2019)
Sina Ghassemi, Attilio Fiandrotti, Gianluca Francini, Enrico Magli
Learning and Adapting Robust Features for Satellite Image Segmentation on Heterogeneous Data Sets. IEEE Trans. Geosci. Remote. Sens. 57 (9) (2019)
Sina Ghassemi, Attilio Fiandrotti, Emanuele Caimotti, Gianluca Francini, Enrico Magli
Vehicle joint make and model recognition with multiscale attention windows. Signal Process. Image Commun. 72 (2019)
Diego Valsesia, Giulia Fracastoro, Enrico Magli
Deep Graph-Convolutional Image Denoising. CoRR (2019)
Marta Mrak, Enrico Magli, Frédéric Dufaux
Spotlight on the Multimedia Signal Processing Technical Committee [In the Spotlight]. IEEE Signal Process. Mag. 36 (3) (2019)
Diego Valsesia, Sophie M. Fosson, Chiara Ravazzi, Tiziano Bianchi, Enrico Magli
Analysis of SparseHash: An efficient embedding of set-similarity via sparse projections. Pattern Recognit. Lett. 128 (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, Giulio Coluccia, Tiziano Bianchi, Enrico Magli
ToothPic: Camera-Based Image Retrieval on Large Scales. IEEE Multim. 26 (2) (2019)
Diego Valsesia, Giulia Fracastoro, Enrico Magli
Learning Localized Generative Models for 3D Point Clouds via Graph Convolution. ICLR (Poster) (2019)
Sina Ghassemi, Enrico Magli
Convolutional Neural Networks for On-Board Cloud Screening. Remote. Sens. 11 (12) (2019)
Andrea Bordone Molini, Diego Valsesia, Giulia Fracastoro, Enrico Magli
DeepSUM: Deep neural network for Super-resolution of Unregistered Multitemporal images. CoRR (2019)
Arslan Ali, Matteo Testa, Tiziano Bianchi, Enrico Magli
Authnet: Biometric Authentication Through Adversarial Learning. MLSP (2019)
Diego Valsesia, Sophie Marie Fosson, Chiara Ravazzi, Tiziano Bianchi, Enrico Magli
Analysis of SparseHash: an efficient embedding of set-similarity via sparse projections. CoRR (2019)
Matteo Testa, Arslan Ali, Tiziano Bianchi, Enrico Magli
Learning mappings onto regularized latent spaces for biometric authentication. MMSP (2019)
Tomas Björklund, Attilio Fiandrotti, Mauro Annarumma, Gianluca Francini, Enrico Magli
Robust license plate recognition using neural networks trained on synthetic images. Pattern Recognit. 93 (2019)
Matteo Testa, Arslan Ali, Tiziano Bianchi, Enrico Magli
Learning mappings onto regularized latent spaces for biometric authentication. CoRR (2019)
Diego Valsesia, Enrico Magli
High-Throughput Onboard Hyperspectral Image Compression With Ground-Based CNN Reconstruction. IEEE Trans. Geosci. Remote. Sens. 57 (12) (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)
Gene Cheung, Enrico Magli, Yuichi Tanaka, Michael K. Ng
Graph Spectral Image Processing. Proc. IEEE 106 (5) (2018)
Matteo Testa, Enrico Magli
Compressive Bayesian K-SVD. Signal Process. Image Commun. 60 (2018)
Chiara Ravazzi, Enrico Magli
Improved iterative shrinkage-thresholding for sparse signal recovery via Laplace mixtures models. EURASIP J. Adv. Signal Process. 2018 (2018)
Matteo Testa, Tiziano Bianchi, Enrico Magli
On the secrecy of compressive cryptosystems under finite-precision representation of sensing matrices. ISCAS (2018)
Sina Ghassemi, Constantin Sandu, Attilio Fiandrotti, Fabio Giulio Tonolo, Piero Boccardo, Gianluca Francini, Enrico Magli
Satellite Image Segmentation with Deep Residual Architectures for Time-Critical Applications. EUSIPCO (2018)
Chiara Ravazzi, Sophie M. Fosson, Tiziano Bianchi, Enrico Magli
Sparsity estimation from compressive projections via sparse random matrices. EURASIP J. Adv. Signal Process. 2018 (2018)
Diego Valsesia, Giulia Fracastoro, Enrico Magli
Sampling of graph signals via randomized local aggregations. CoRR (2018)

Enrico Magli.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Enrico Magli