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.
Compress-Align-Detect: Onboard Change Detection From Unregistered Images
2026 Inzerillo, G.; Valsesia, D.; Fiengo, A.; Magli, E.
Onboard Real-Time Hyperspectral Subpixel Mapping With Pushbroom Neural Network
2026 Impieri, M.; Piccinini, D.; Valsesia, D.; Magli, E.
Scalable Neural Pushbroom Architectures for Real-Time Denoising of Hyperspectral Images Onboard Satellites
2026 Yi, Z.; Piccinini, D.; Valsesia, D.; Bianchi, T.; 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.
| 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. | 1-s2.0-S0925231226009768-main.pdf |
| Compress-Align-Detect: Onboard Change Detection From Unregistered Images / Inzerillo, G., Valsesia, D., Fiengo, A., Magli, E.. - In: IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING. - ISSN 0196-2892. - 64:(2026). [10.1109/TGRS.2026.3686514] | 1-gen-2026 | Inzerillo G.Valsesia D.Magli E. + | main_compressed.pdf; CompressAlignDetect_Onboard_Change_Detection_From_Unregistered_Images.pdf |
| Onboard Real-Time Hyperspectral Subpixel Mapping With Pushbroom Neural Network / Impieri, M., Piccinini, D., Valsesia, D., Magli, E.. - In: IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING. - ISSN 1939-1404. - ELETTRONICO. - 19:(2026), pp. 17403-17419. [10.1109/JSTARS.2026.3692947] | 1-gen-2026 | Impieri M.Piccinini D.Valsesia D.Magli E. | Onboard_Real-Time_Hyperspectral_Subpixel_Mapping_With_Pushbroom_Neural_Network.pdf; main.pdf |
| Scalable Neural Pushbroom Architectures for Real-Time Denoising of Hyperspectral Images Onboard Satellites / Yi, Z., Piccinini, D., Valsesia, D., Bianchi, T., Magli, E.. - In: IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING. - ISSN 0196-2892. - 64:(2026). [10.1109/TGRS.2026.3686438] | 1-gen-2026 | Yi Z.Piccinini D.Valsesia D.Bianchi T.Magli E. | main.pdf; Scalable_Neural_Pushbroom_Architectures_for_Real-Time_Denoising_of_Hyperspectral_Images_Onboard_Satellites.pdf |
| Deep Lidar-Guided Image Deblurring / Yi, Z., Valsesia, D., Bianchi, T., Magli, E.. - 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, G., Valsesia, D., Magli, E.. - 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, L., Valsesia, D., Magli, E.. - 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, L.S., Valsesia, D., Molini, A.B., Fracastoro, G., Magli, E., Mirabile, A.. - 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, E., Valsesia, D., Magli, E.. - 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, D., Bianchi, T., Magli, E.. - 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, D., Baldi, M., Bianchi, T., Buongiorno, F., Lastri, C., Magli, E., Nardino, V., Palombi, L., Romaniello, V., Scopa, T., Siciliani de Cumis, M., Silvestri, M., Valsesia, D., Raimondi, V.. - 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, D., Baldi, M., Berndt, D., Bertoncini, L., Bianchi, T., Bischof, L., Borque Gallego, G., Carlà, R., Coppo, P., Corti, C., Corti, F., Corti, M., Cox, N., Dauderstädt, U.A., Dürr, P., Franci, E., González, S.F., Gonnelli, A., Guerri, I., Guzzi, D., et al.. - 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, N., Valsesia, D., Bianchi, T., Magli, E., Naccari, M., Fiandrotti, A.. - 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, A., Valsesia, D., Fracastoro, G., Magli, E.. - 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 |