| 2025 | CVPR | DreamCache: Finetuning-Free Lightweight Personalized Image Generation via Feature Caching. | Emanuele Aiello, Umberto Michieli, Diego Valsesia, Mete Ozay, Enrico Magli |
| 2025 | ICIP | A Novel Method and Dataset for Depth-Guided Image Deblurring From Smartphone Lidar. | Antonio Montanaro, Diego Valsesia |
| 2024 | IGARSS | Hybrid Recurrent-Attentive Neural Network for Onboard Predictive Hyperspectral Image Compression. | Diego Valsesia, Tiziano Bianchi, Enrico Magli |
| 2024 | IGARSS | Degradation-Aware Self-Supervised Multi-Temporal Super-Resolution. | Matteo Impieri, Diego Valsesia, Tiziano Bianchi, Enrico Magli |
| 2023 | ICASSP | Multi-Level Fusion for Burst Super-Resolution with Deep Permutation-Invariant Conditioning. | Martina Cilia, Diego Valsesia, Giulia Fracastoro, Enrico Magli |
| 2023 | ICASSP | Towards Hyperbolic Regularizers For Point Cloud Part Segmentation. | Antonio Montanaro, Diego Valsesia, Enrico Magli |
| 2023 | IGARSS | Towards Unsupervised Multi-Temporal Satellite Image Super-Resolution. | Nicola Prette, Diego Valsesia, Tiziano Bianchi, Enrico Magli |
| 2023 | IGARSS | Onboard Processing Capabilities of an Earth Observation Compressive Sensing Payload. | Tiziano Bianchi, Martina Cilia, Enrico Magli, Andrea Migliorati, Nicola Prette, Diego Valsesia |
| 2023 | IGARSS | Diffraction Efficiency-Aware Reconstruction for Compressive Sensing in the Mid-Infrared. | Tiziano Bianchi, Donatella Guzzi, Cinzia Lastri, Enrico Magli, Vanni Nardino, Lorenzo Palombi, Nicola Prette, Valentina Raimondi, Diego Valsesia |
| 2023 | IGARSS | Proba-V Multi-Temporal Super-Resolution Guided by Sentinel-2. | Gabriele Inzerillo, Diego Valsesia, Enrico Magli, Fabrizio Niro, Erminia De Grandis |
| 2022 | ICASSP | Signal Compression via Neural Implicit Representations. | Francesca Pistilli, Diego Valsesia, Giulia Fracastoro, Enrico Magli |
| 2022 | ICIP | Exploring the Solution Space of Linear Inverse Problems with GAN Latent Geometry. | Antonio Montanaro, Diego Valsesia, Enrico Magli |
| 2022 | IGARSS | Super-Resolved Multi-Temporal Segmentation with Deep Permutation-Invariant Networks. | Diego Valsesia, Enrico Magli |
| 2021 | CVPR | Denoise and Contrast for Category Agnostic Shape Completion. | Antonio Alliegro, Diego Valsesia, Giulia Fracastoro, Enrico Magli, Tatiana Tommasi |
| 2021 | IGARSS | Spatial Light Modulator-Based Architecture to Implement a Super-Resolved Compressive Instrument for Earth Observation. | 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. Dauderstdt, Peter Drr, Sara Francs Gonzlez, 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 |
| 2020 | ECCV | Learning Graph-Convolutional Representations for Point Cloud Denoising. | Francesca Pistilli, Giulia Fracastoro, Diego Valsesia, Enrico Magli |
| 2020 | IGARSS | Deepsum++: Non-Local Deep Neural Network for Super-Resolution of Unregistered Multitemporal Images. | Andrea Bordone Molini, Diego Valsesia, Giulia Fracastoro, Enrico Magli |
| 2020 | IGARSS | Towards Deep Unsupervised Sar Despeckling with Blind-Spot Convolutional Neural Networks. | Andrea Bordone Molini, Diego Valsesia, Giulia Fracastoro, Enrico Magli |
| 2020 | IGARSS | Detection of Solar Coronal Mass Ejections from Raw Images with Deep Convolutional Neural Networks. | Diego Valsesia, Andrea Grippi, Enrico Magli, Roberto Susino, Daniele Telloni, Gianalfredo Nicolini, Marta Casti, Angelo Fabio Mulone, Rosario Messineo |
| 2020 | VCIP | NIR image colorization with graph-convolutional neural networks. | Diego Valsesia, Giulia Fracastoro, Enrico Magli |
| 2019 | ICIP | Image Denoising with Graph-Convolutional Neural Networks. | Diego Valsesia, Giulia Fracastoro, Enrico Magli |
| 2019 | ICLR | Learning Localized Generative Models for 3D Point Clouds via Graph Convolution. | Diego Valsesia, Giulia Fracastoro, Enrico Magli |
| 2016 | ICASSP | Universal encoding of multispectral images. | Diego Valsesia, Petros T. Boufounos |
| 2016 | ITW | Multispectral image compression using universal vector quantization. | Diego Valsesia, Petros T. Boufounos |
| 2015 | ICASSP | Scale-robust compressive camera fingerprint matching with random projections. | Diego Valsesia, Giulio Coluccia, Tiziano Bianchi, Enrico Magli |
| 2014 | ICASSP | Compressive signal processing with circulant sensing matrices. | Diego Valsesia, Enrico Magli |
| 2014 | ICIP | A hardware-friendly architecture for onboard rate-controlled predictive coding of hyperspectral and multispectral images. | Diego Valsesia, Enrico Magli |
| 2013 | ACSSC | Joint recovery algorithms using difference of innovations for distributed compressed sensing. | Diego Valsesia, Giulio Coluccia, Enrico Magli |
| 2013 | ICASSP | Graded quantization: Democracy for multiple descriptions in compressed sensing. | Diego Valsesia, Giulio Coluccia, Enrico Magli |
| 2013 | MMSP | Smoothness-constrained image recovery from block-based random projections. | Giulio Coluccia, Diego Valsesia, Enrico Magli |
| 2013 | MMSP | Spatially scalable compressed image sensing with hybrid transform and inter-layer prediction model. | Diego Valsesia, Enrico Magli |