Archivio Istituzionale della RicercaVALSESIA, DIEGO
VALSESIA, DIEGO
Dipartimento di Elettronica e Telecomunicazioni
029934
A multiplication-free neural architecture for image restoration
2026 Dordoni, L.; Valsesia, D.; Magli, E.
Deep Lidar-Guided Image Deblurring
2025 Yi, Ziyao; Valsesia, Diego; Bianchi, Tiziano; Magli, Enrico
Efficient Onboard Multitask AI Architecture Based on Self-Supervised Learning
2025 Inzerillo, Gabriele; Valsesia, Diego; Magli, Enrico
Joint SAR–Optical Image Compression with Tunable Progressive Attentive Fusion
2025 Valsesia, D.; Bianchi, T.
Modeling Uncertainty for Gaussian Splatting
2025 SAVANT AIRA, Luca; Valsesia, Diego; Magli, Enrico
Onboard Hyperspectral Super-Resolution with Deep Pushbroom Neural Network †
2025 Piccinini, D.; Valsesia, D.; Magli, E.
Deep 3D World Models for Multi-Image Super-Resolution Beyond Optical Flow
2024 Aira, Luca Savant; Valsesia, Diego; Molini, Andrea Bordone; Fracastoro, Giulia; Magli, Enrico; Mirabile, Andrea
Fast Inference in Denoising Diffusion Models via MMD Finetuning
2024 Aiello, Emanuele; Valsesia, Diego; Magli, Enrico
Onboard Deep Lossless and Near-Lossless Predictive Coding of Hyperspectral Images With Line-Based Attention
2024 Valsesia, Diego; Bianchi, Tiziano; Magli, Enrico
Synthetic Data Pretraining for Hyperspectral Image Super-Resolution
2024 Aiello, E.; Agarla, M.; Valsesia, D.; Napoletano, P.; Bianchi, T.; Magli, E.; Schettini, R.
Data Simulations of a Compressive Sensing Multispectral Imager in the Mid-Infrared Region and Its Performances for the Monitoring of High-Temperature Events
2023 Guzzi, Donatella; Baldi, Massimo; Bianchi, Tiziano; Buongiorno, Fabrizia; Lastri, Cinzia; Magli, Enrico; Nardino, Vanni; Palombi, Lorenzo; Romaniello, Vito; Scopa, Tiziana; Siciliani de Cumis, Mario; Silvestri, Malvina; Valsesia, Diego; Raimondi, Valentina
Exploring the Potential of Compressive Sensing Payloads for Earth Observation from Geostationary Platforms: An Instrumental Concept for Fire Monitoring
2023 Borrelli, Donato; Baldi, Massimo; Berndt, Dirk; Bertoncini, Lucas; Bianchi, Tiziano; Bischof, Lionel; Borque Gallego, Guzman; Carlà, Roberto; Coppo, Peter; Corti, Chiara; Corti, Francesco; Corti, Marco; Cox, Nick; Dauderstädt, Ulrike A.; Dürr, Peter; Franci, Enrico; González, Sara Francés; Gonnelli, Andrea; Guerri, Irene; Guzzi, Donatella; Humbert, Stéphane; Labate, Demetrio; Lamquin, Nicolas; Lastri, Cinzia; Magli, Enrico; Marzi, Emiliano; Migliorati, Andrea; Nardino, Vanni; Pache, Christophe; Palombi, Lorenzo; Piccirillo, Alice Maria; Pilato, Giuseppe; Suetta, Enrico; Taddei, Dario; Valsesia, Diego; Wagner, Michael; Raimondi, Valentina
RAN-GNNs: Breaking the Capacity Limits of Graph Neural Networks
2023 Valsesia, D.; Fracastoro, G.; Magli, E.
Deep motion‐compensation enhancement in video compression
2022 Prette, Nicola; Valsesia, Diego; Bianchi, Tiziano; Magli, Enrico; Naccari, Matteo; Fiandrotti, Attilio
Permutation invariance and uncertainty in multitemporal image super-resolution
2022 Valsesia, D.; Magli, E.
Semi-Supervised Learning for Joint SAR and Multispectral Land Cover Classification
2022 Montanaro, Antonio; Valsesia, Diego; Fracastoro, Giulia; Magli, Enrico
Speckle2Void: Deep Self-Supervised SAR Despeckling with Blind-Spot Convolutional Neural Networks
2022 Molini, A. B.; Valsesia, D.; Fracastoro, G.; Magli, E.
Deep Learning Methods for Synthetic Aperture Radar Image Despeckling: An Overview of Trends and Perspectives
2021 Fracastoro, G.; Magli, E.; Poggi, G.; Scarpa, G.; Valsesia, D.; Verdoliva, L.
Learning Localized Representations of Point Clouds with Graph-Convolutional Generative Adversarial Networks
2021 Valsesia, D.; Fracastoro, G.; Magli, E.
Learning Robust Graph-Convolutional Representations for Point Cloud Denoising
2021 Pistilli, F.; Fracastoro, G.; Valsesia, D.; Magli, E.
| Citazione | Data di pubblicazione | Autori | File |
|---|---|---|---|
| A multiplication-free neural architecture for image restoration / Dordoni, L.; Valsesia, D.; Magli, E.. - In: NEUROCOMPUTING. - ISSN 0925-2312. - 684:(2026). [10.1016/j.neucom.2026.133579] | 1-gen-2026 | Dordoni L.Valsesia D.Magli E. | - |
| Deep Lidar-Guided Image Deblurring / Yi, Ziyao; Valsesia, Diego; Bianchi, Tiziano; Magli, Enrico. - In: SENSORS. - ISSN 1424-8220. - 25:21(2025). [10.3390/s25216786] | 1-gen-2025 | Yi, ZiyaoValsesia, DiegoBianchi, TizianoMagli, Enrico | sensors-25-06786_mini.pdf |
| Efficient Onboard Multitask AI Architecture Based on Self-Supervised Learning / Inzerillo, Gabriele; Valsesia, Diego; Magli, Enrico. - In: IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING. - ISSN 1939-1404. - 18:(2025), pp. 828-838. [10.1109/jstars.2024.3502776] | 1-gen-2025 | Inzerillo, GabrieleValsesia, DiegoMagli, Enrico | Efficient_Onboard_Multitask_AI_Architecture_Based_on_Self-Supervised_Learning.pdf |
| Joint SAR–Optical Image Compression with Tunable Progressive Attentive Fusion / Valsesia, D.; Bianchi, T.. - In: REMOTE SENSING. - ISSN 2072-4292. - 17:13(2025). [10.3390/rs17132189] | 1-gen-2025 | Valsesia D.Bianchi T. | remotesensing-17-02189.pdf |
| Modeling Uncertainty for Gaussian Splatting / SAVANT AIRA, Luca; Valsesia, Diego; Magli, Enrico. - In: IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS. - ISSN 2162-237X. - (2025), pp. 1-7. [10.1109/TNNLS.2025.3553582] | 1-gen-2025 | Aira Luca SavantValsesia DiegoMagli Enrico | Modeling_Uncertainty_for_Gaussian_Splatting.pdf; TNNLS-2024-B-32833.pdf |
| Onboard Hyperspectral Super-Resolution with Deep Pushbroom Neural Network † / Piccinini, D.; Valsesia, D.; Magli, E.. - In: REMOTE SENSING. - ISSN 2072-4292. - 17:21(2025). [10.3390/rs17213634] | 1-gen-2025 | Piccinini D.Valsesia D.Magli E. | remotesensing-17-03634-v2.pdf |
| Deep 3D World Models for Multi-Image Super-Resolution Beyond Optical Flow / Aira, Luca Savant; Valsesia, Diego; Molini, Andrea Bordone; Fracastoro, Giulia; Magli, Enrico; Mirabile, Andrea. - In: IEEE ACCESS. - ISSN 2169-3536. - 12:(2024), pp. 188902-188913. [10.1109/access.2024.3514188] | 1-gen-2024 | Aira, Luca SavantValsesia, DiegoFracastoro, GiuliaMagli, Enrico + | Deep_3D_World_Models_for_Multi-Image_Super-Resolution_Beyond_Optical_Flow.pdf |
| Fast Inference in Denoising Diffusion Models via MMD Finetuning / Aiello, Emanuele; Valsesia, Diego; Magli, Enrico. - In: IEEE ACCESS. - ISSN 2169-3536. - ELETTRONICO. - 12:(2024), pp. 106912-106923. [10.1109/access.2024.3436698] | 1-gen-2024 | Aiello, EmanueleValsesia, DiegoMagli, Enrico | Fast_Inference_in_Denoising_Diffusion_Models_via_MMD_Finetuning.pdf |
| Onboard Deep Lossless and Near-Lossless Predictive Coding of Hyperspectral Images With Line-Based Attention / Valsesia, Diego; Bianchi, Tiziano; Magli, Enrico. - In: IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING. - ISSN 0196-2892. - 62:(2024). [10.1109/tgrs.2024.3465043] | 1-gen-2024 | Valsesia, DiegoBianchi, TizianoMagli, Enrico | main.pdf; Onboard_Deep_Lossless_and_Near-Lossless_Predictive_Coding_of_Hyperspectral_Images_With_Line-Based_Attention-2.pdf |
| Synthetic Data Pretraining for Hyperspectral Image Super-Resolution / Aiello, E.; Agarla, M.; Valsesia, D.; Napoletano, P.; Bianchi, T.; Magli, E.; Schettini, R.. - In: IEEE ACCESS. - ISSN 2169-3536. - ELETTRONICO. - 12:(2024), pp. 65024-65031. [10.1109/ACCESS.2024.3396990] | 1-gen-2024 | Aiello E.Agarla M.Valsesia D.Bianchi T.Magli E. + | Synthetic_Data_Pretraining_for_Hyperspectral_Image_Super-Resolution.pdf |
| Data Simulations of a Compressive Sensing Multispectral Imager in the Mid-Infrared Region and Its Performances for the Monitoring of High-Temperature Events / Guzzi, Donatella; Baldi, Massimo; Bianchi, Tiziano; Buongiorno, Fabrizia; Lastri, Cinzia; Magli, Enrico; Nardino, Vanni; Palombi, Lorenzo; Romaniello, Vito; Scopa, Tiziana; Siciliani de Cumis, Mario; Silvestri, Malvina; Valsesia, Diego; Raimondi, Valentina. - In: ENGINEERING PROCEEDINGS. - ISSN 2673-4591. - ELETTRONICO. - 51:1(2023), pp. 1-5. [10.3390/engproc2023051031] | 1-gen-2023 | Bianchi, TizianoMagli, EnricoValsesia, Diego + | engproc-51-00031.pdf |
| Exploring the Potential of Compressive Sensing Payloads for Earth Observation from Geostationary Platforms: An Instrumental Concept for Fire Monitoring / Borrelli, Donato; Baldi, Massimo; Berndt, Dirk; Bertoncini, Lucas; Bianchi, Tiziano; Bischof, Lionel; Borque Gallego, Guzman; Carlà, Roberto; Coppo, Peter; Corti, Chiara; Corti, Francesco; Corti, Marco; Cox, Nick; Dauderstädt, Ulrike A.; Dürr, Peter; Franci, Enrico; González, Sara Francés; Gonnelli, Andrea; Guerri, Irene; Guzzi, Donatella; Humbert, Stéphane; Labate, Demetrio; Lamquin, Nicolas; Lastri, Cinzia; Magli, Enrico; Marzi, Emiliano; Migliorati, Andrea; Nardino, Vanni; Pache, Christophe; Palombi, Lorenzo; Piccirillo, Alice Maria; Pilato, Giuseppe; Suetta, Enrico; Taddei, Dario; Valsesia, Diego; Wagner, Michael; Raimondi, Valentina. - In: ENGINEERING PROCEEDINGS. - ISSN 2673-4591. - ELETTRONICO. - 51:1(2023), pp. 1-5. [10.3390/engproc2023051032] | 1-gen-2023 | Bianchi, TizianoMagli, EnricoMigliorati, AndreaValsesia, Diego + | engproc-51-00032.pdf |
| RAN-GNNs: Breaking the Capacity Limits of Graph Neural Networks / Valsesia, D.; Fracastoro, G.; Magli, E.. - In: IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS. - ISSN 2162-237X. - STAMPA. - (2023). [10.1109/TNNLS.2021.3118450] | 1-gen-2023 | Valsesia D.Fracastoro G.Magli E. | RAN-GNNs_Breaking_the_Capacity_Limits_of_Graph_Neural_Networks.pdf; RandomNN.pdf |
| Deep motion‐compensation enhancement in video compression / Prette, Nicola; Valsesia, Diego; Bianchi, Tiziano; Magli, Enrico; Naccari, Matteo; Fiandrotti, Attilio. - In: ELECTRONICS LETTERS. - ISSN 0013-5194. - ELETTRONICO. - (2022). [10.1049/ell2.12475] | 1-gen-2022 | Prette, NicolaValsesia, DiegoBianchi, TizianoMagli, Enrico + | Electronics Letters - 2022 - Prette - Deep motion‐compensation enhancement in video compression.pdf |
| Permutation invariance and uncertainty in multitemporal image super-resolution / Valsesia, D.; Magli, E.. - In: IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING. - ISSN 0196-2892. - STAMPA. - 60:(2022), pp. 1-12. [10.1109/TGRS.2021.3130673] | 1-gen-2022 | Valsesia D.Magli E. | Permutation_invariant_multitemporal_SR(2).pdf; Valsesia-Permutation.pdf |
| Semi-Supervised Learning for Joint SAR and Multispectral Land Cover Classification / Montanaro, Antonio; Valsesia, Diego; Fracastoro, Giulia; Magli, Enrico. - In: IEEE GEOSCIENCE AND REMOTE SENSING LETTERS. - ISSN 1545-598X. - STAMPA. - 19:(2022), pp. 1-5. [10.1109/lgrs.2022.3195259] | 1-gen-2022 | Antonio MontanaroDiego ValsesiaGiulia FracastoroEnrico Magli | Semi-Supervised_Learning_for_Joint_SAR_and_Multispectral_Land_Cover_Classification.pdf; Self_supervised_multispectral_segmentation.pdf |
| Speckle2Void: Deep Self-Supervised SAR Despeckling with Blind-Spot Convolutional Neural Networks / Molini, A. B.; Valsesia, D.; Fracastoro, G.; Magli, E.. - In: IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING. - ISSN 0196-2892. - STAMPA. - 60:(2022), pp. 1-17. [10.1109/TGRS.2021.3065461] | 1-gen-2022 | Valsesia D.Fracastoro G.Magli E. + | SAR_Despeckling(1).pdf; Valsesia-Speckle2Void.pdf |
| Deep Learning Methods for Synthetic Aperture Radar Image Despeckling: An Overview of Trends and Perspectives / Fracastoro, G.; Magli, E.; Poggi, G.; Scarpa, G.; Valsesia, D.; Verdoliva, L.. - In: IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE. - ISSN 2168-6831. - ELETTRONICO. - 9:2(2021), pp. 29-51. [10.1109/MGRS.2021.3070956] | 1-gen-2021 | Fracastoro G.Magli E.Valsesia D. + | Deep_Learning_Methods_For_Synthetic_Aperture_Radar_Image_Despeckling_An_Overview_Of_Trends_And_Perspectives.pdf; main.pdf |
| Learning Localized Representations of Point Clouds with Graph-Convolutional Generative Adversarial Networks / Valsesia, D.; Fracastoro, G.; Magli, E.. - In: IEEE TRANSACTIONS ON MULTIMEDIA. - ISSN 1520-9210. - 23:(2021), pp. 402-414. [10.1109/TMM.2020.2976627] | 1-gen-2021 | Valsesia D.Fracastoro G.Magli E. | PointCloud_GAN.pdf; 09016091.pdf |
| Learning Robust Graph-Convolutional Representations for Point Cloud Denoising / Pistilli, F.; Fracastoro, G.; Valsesia, D.; Magli, E.. - In: IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING. - ISSN 1932-4553. - 15:2(2021), pp. 402-414. [10.1109/JSTSP.2020.3047471] | 1-gen-2021 | Pistilli F.Fracastoro G.Valsesia D.Magli E. | main.pdf; 09309029.pdf |