Diego Valsesia

105 papers A* 5A 1B 4C 14Misc 8Journal 64Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A low-complexity method for efficient depth-guided image deblurring. CoRR Ziyao Yi, Diego Valsesia, Tiziano Bianchi, Enrico Magli
2026	J	`jnl`	A multiplication-free neural architecture for image restoration. Neurocomputing Luca Dordoni, Diego Valsesia, Enrico Magli
2026	J	`jnl`	Scalable neural pushbroom architectures for real-time denoising of hyperspectral images onboard satellites. CoRR Ziyao Yi, Davide Piccinini, Diego Valsesia, Tiziano Bianchi, Enrico Magli
2025	J	`jnl`	Compress-Align-Detect: onboard change detection from unregistered images. CoRR Gabriele Inzerillo, Diego Valsesia, Aniello Fiengo, Enrico Magli
2025	A*	`conf`	DreamCache: Finetuning-Free Lightweight Personalized Image Generation via Feature Caching. CVPR Emanuele Aiello, Umberto Michieli, Diego Valsesia, Mete Ozay, Enrico Magli
2025	J	`jnl`	Efficient Onboard Multitask AI Architecture Based on Self-Supervised Learning. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Gabriele Inzerillo, Diego Valsesia, Enrico Magli
2025	J	`jnl`	Modeling Uncertainty for Gaussian Splatting. IEEE Trans. Neural Networks Learn. Syst. Luca Savant Aira, Diego Valsesia, Enrico Magli
2025	J	`jnl`	Onboard Hyperspectral Super-Resolution with Deep Pushbroom Neural Network. CoRR Davide Piccinini, Diego Valsesia, Enrico Magli
2024	J	`jnl`	Deep 3D World Models for Multi-Image Super-Resolution Beyond Optical Flow. IEEE Access Luca Savant Aira, Diego Valsesia, Andrea Bordone Molini, Giulia Fracastoro, Enrico Magli, Andrea Mirabile
2024	J	`jnl`	Deep 3D World Models for Multi-Image Super-Resolution Beyond Optical Flow. CoRR Luca Savant Aira, Diego Valsesia, Andrea Bordone Molini, Giulia Fracastoro, Enrico Magli, Andrea Mirabile
2024	J	`jnl`	Deep Lidar-guided Image Deblurring. CoRR Ziyao Yi, Diego Valsesia, Tiziano Bianchi, Enrico Magli
2024	C	`conf`	Degradation-Aware Self-Supervised Multi-Temporal Super-Resolution. IGARSS Matteo Impieri, Diego Valsesia, Tiziano Bianchi, Enrico Magli
2024	J	`jnl`	DreamCache: Finetuning-Free Lightweight Personalized Image Generation via Feature Caching. CoRR Emanuele Aiello, Umberto Michieli, Diego Valsesia, Mete Ozay, Enrico Magli
2024	J	`jnl`	Fast Inference in Denoising Diffusion Models via MMD Finetuning. IEEE Access Emanuele Aiello, Diego Valsesia, Enrico Magli
2024	C	`conf`	Hybrid Recurrent-Attentive Neural Network for Onboard Predictive Hyperspectral Image Compression. IGARSS Diego Valsesia, Tiziano Bianchi, Enrico Magli
2024	J	`jnl`	Modeling uncertainty for Gaussian Splatting. CoRR Luca Savant Aira, Diego Valsesia, Enrico Magli
2024	A*	`conf`	MotionCraft: Physics-Based Zero-Shot Video Generation. NeurIPS Antonio Montanaro, Luca Savant Aira, Emanuele Aiello, Diego Valsesia, Enrico Magli
2024	J	`jnl`	MotionCraft: Physics-based Zero-Shot Video Generation. CoRR Luca Savant Aira, Antonio Montanaro, Emanuele Aiello, Diego Valsesia, Enrico Magli
2024	J	`jnl`	Onboard Deep Lossless and Near-Lossless Predictive Coding of Hyperspectral Images With Line-Based Attention. IEEE Trans. Geosci. Remote. Sens. Diego Valsesia, Tiziano Bianchi, Enrico Magli
2024	J	`jnl`	Onboard deep lossless and near-lossless predictive coding of hyperspectral images with line-based attention. CoRR Diego Valsesia, Tiziano Bianchi, Enrico Magli
2024	J	`jnl`	Synthetic Data Pretraining for Hyperspectral Image Super-Resolution. IEEE Access Emanuele Aiello, Mirko Agarla, Diego Valsesia, Paolo Napoletano, Tiziano Bianchi, Enrico Magli, Raimondo Schettini
2023	C	`conf`	Diffraction Efficiency-Aware Reconstruction for Compressive Sensing in the Mid-Infrared. IGARSS Tiziano Bianchi, Donatella Guzzi, Cinzia Lastri, Enrico Magli, Vanni Nardino, Lorenzo Palombi, Nicola Prette, Valentina Raimondi, Diego Valsesia
2023	J	`jnl`	Fast Inference in Denoising Diffusion Models via MMD Finetuning. CoRR Emanuele Aiello, Diego Valsesia, Enrico Magli
2023	Misc	`conf`	Multi-Level Fusion for Burst Super-Resolution with Deep Permutation-Invariant Conditioning. ICASSP Martina Cilia, Diego Valsesia, Giulia Fracastoro, Enrico Magli
2023	—	`conf`	On the Use of Machine Learning Algorithms to Improve GNSS Products. PLANS Andrea Nardin, Fabio Dovis, Diego Valsesia, Enrico Magli, Chiara Leuzzi, Rosario Messineo, Hugo Sobreira, Richard Swinden
2023	C	`conf`	Onboard Processing Capabilities of an Earth Observation Compressive Sensing Payload. IGARSS Tiziano Bianchi, Martina Cilia, Enrico Magli, Andrea Migliorati, Nicola Prette, Diego Valsesia
2023	C	`conf`	Proba-V Multi-Temporal Super-Resolution Guided by Sentinel-2. IGARSS Gabriele Inzerillo, Diego Valsesia, Enrico Magli, Fabrizio Niro, Erminia De Grandis
2023	J	`jnl`	RAN-GNNs: Breaking the Capacity Limits of Graph Neural Networks. IEEE Trans. Neural Networks Learn. Syst. Diego Valsesia, Giulia Fracastoro, Enrico Magli
2023	Misc	`conf`	Towards Hyperbolic Regularizers For Point Cloud Part Segmentation. ICASSP Antonio Montanaro, Diego Valsesia, Enrico Magli
2023	C	`conf`	Towards Unsupervised Multi-Temporal Satellite Image Super-Resolution. IGARSS Nicola Prette, Diego Valsesia, Tiziano Bianchi, Enrico Magli
2022	A*	`conf`	Cross-modal Learning for Image-Guided Point Cloud Shape Completion. NeurIPS Emanuele Aiello, Diego Valsesia, Enrico Magli
2022	J	`jnl`	Cross-modal Learning for Image-Guided Point Cloud Shape Completion. CoRR Emanuele Aiello, Diego Valsesia, Enrico Magli
2022	B	`conf`	Exploring the Solution Space of Linear Inverse Problems with GAN Latent Geometry. ICIP Antonio Montanaro, Diego Valsesia, Enrico Magli
2022	J	`jnl`	Exploring the solution space of linear inverse problems with GAN latent geometry. CoRR Antonio Montanaro, Diego Valsesia, Enrico Magli
2022	J	`jnl`	Permutation Invariance and Uncertainty in Multitemporal Image Super-Resolution. IEEE Trans. Geosci. Remote. Sens. Diego Valsesia, Enrico Magli
2022	A*	`conf`	Rethinking the compositionality of point clouds through regularization in the hyperbolic space. NeurIPS Antonio Montanaro, Diego Valsesia, Enrico Magli
2022	J	`jnl`	Rethinking the compositionality of point clouds through regularization in the hyperbolic space. CoRR Antonio Montanaro, Diego Valsesia, Enrico Magli
2022	J	`jnl`	Semi-Supervised Learning for Joint SAR and Multispectral Land Cover Classification. IEEE Geosci. Remote. Sens. Lett. Antonio Montanaro, Diego Valsesia, Giulia Fracastoro, Enrico Magli
2022	Misc	`conf`	Signal Compression via Neural Implicit Representations. ICASSP Francesca Pistilli, Diego Valsesia, Giulia Fracastoro, Enrico Magli
2022	J	`jnl`	Speckle2Void: Deep Self-Supervised SAR Despeckling With Blind-Spot Convolutional Neural Networks. IEEE Trans. Geosci. Remote. Sens. Andrea Bordone Molini, Diego Valsesia, Giulia Fracastoro, Enrico Magli
2022	C	`conf`	Super-Resolved Multi-Temporal Segmentation with Deep Permutation-Invariant Networks. IGARSS Diego Valsesia, Enrico Magli
2022	J	`jnl`	Super-resolved multi-temporal segmentation with deep permutation-invariant networks. CoRR Diego Valsesia, Enrico Magli
2021	—	`conf`	Deep Multiframe Enhancement for Motion Prediction in Video Compression. ICECS Nicola Prette, Diego Valsesia, Tiziano Bianchi
2021	A*	`conf`	Denoise and Contrast for Category Agnostic Shape Completion. CVPR Antonio Alliegro, Diego Valsesia, Giulia Fracastoro, Enrico Magli, Tatiana Tommasi
2021	J	`jnl`	Denoise and Contrast for Category Agnostic Shape Completion. CoRR Antonio Alliegro, Diego Valsesia, Giulia Fracastoro, Enrico Magli, Tatiana Tommasi
2021	J	`jnl`	Learning Localized Representations of Point Clouds With Graph-Convolutional Generative Adversarial Networks. IEEE Trans. Multim. Diego Valsesia, Giulia Fracastoro, Enrico Magli
2021	J	`jnl`	Learning Robust Graph-Convolutional Representations for Point Cloud Denoising. IEEE J. Sel. Top. Signal Process. Francesca Pistilli, Giulia Fracastoro, Diego Valsesia, Enrico Magli
2021	J	`jnl`	Permutation invariance and uncertainty in multitemporal image super-resolution. CoRR Diego Valsesia, Enrico Magli
2021	J	`jnl`	RAN-GNNs: breaking the capacity limits of graph neural networks. CoRR Diego Valsesia, Giulia Fracastoro, Enrico Magli
2021	J	`jnl`	Self-supervised learning for joint SAR and multispectral land cover classification. CoRR Antonio Montanaro, Diego Valsesia, Giulia Fracastoro, Enrico Magli
2021	C	`conf`	Spatial Light Modulator-Based Architecture to Implement a Super-Resolved Compressive Instrument for Earth Observation. IGARSS 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
2020	J	`jnl`	Deep Graph-Convolutional Image Denoising. IEEE Trans. Image Process. Diego Valsesia, Giulia Fracastoro, Enrico Magli
2020	J	`jnl`	Deep learning methods for SAR image despeckling: trends and perspectives. CoRR Giulia Fracastoro, Enrico Magli, Giovanni Poggi, Giuseppe Scarpa, Diego Valsesia, Luisa Verdoliva
2020	J	`jnl`	DeepSUM++: Non-local Deep Neural Network for Super-Resolution of Unregistered Multitemporal Images. CoRR Andrea Bordone Molini, Diego Valsesia, Giulia Fracastoro, Enrico Magli
2020	J	`jnl`	DeepSUM: Deep Neural Network for Super-Resolution of Unregistered Multitemporal Images. IEEE Trans. Geosci. Remote. Sens. Andrea Bordone Molini, Diego Valsesia, Giulia Fracastoro, Enrico Magli
2020	C	`conf`	Deepsum++: Non-Local Deep Neural Network for Super-Resolution of Unregistered Multitemporal Images. IGARSS Andrea Bordone Molini, Diego Valsesia, Giulia Fracastoro, Enrico Magli
2020	C	`conf`	Detection of Solar Coronal Mass Ejections from Raw Images with Deep Convolutional Neural Networks. IGARSS Diego Valsesia, Andrea Grippi, Enrico Magli, Roberto Susino, Daniele Telloni, Gianalfredo Nicolini, Marta Casti, Angelo Fabio Mulone, Rosario Messineo
2020	—	`conf`	Learning Graph-Convolutional Representations for Point Cloud Denoising. ECCV (20) Francesca Pistilli, Giulia Fracastoro, Diego Valsesia, Enrico Magli
2020	J	`jnl`	Learning Graph-Convolutional Representations for Point Cloud Denoising. CoRR Francesca Pistilli, Giulia Fracastoro, Diego Valsesia, Enrico Magli
2020	C	`conf`	NIR image colorization with graph-convolutional neural networks. VCIP Diego Valsesia, Giulia Fracastoro, Enrico Magli
2020	—	`conf`	Point Cloud Normal Estimation with Graph-Convolutional Neural Networks. ICME Workshops Francesca Pistilli, Giulia Fracastoro, Diego Valsesia, Enrico Magli
2020	J	`jnl`	Speckle2Void: Deep Self-Supervised SAR Despeckling with Blind-Spot Convolutional Neural Networks. CoRR Andrea Bordone Molini, Diego Valsesia, Giulia Fracastoro, Enrico Magli
2020	J	`jnl`	Towards Deep Unsupervised SAR Despeckling with Blind-Spot Convolutional Neural Networks. CoRR Andrea Bordone Molini, Diego Valsesia, Giulia Fracastoro, Enrico Magli
2020	C	`conf`	Towards Deep Unsupervised Sar Despeckling with Blind-Spot Convolutional Neural Networks. IGARSS Andrea Bordone Molini, Diego Valsesia, Giulia Fracastoro, Enrico Magli
2019	J	`jnl`	Analysis of SparseHash: An efficient embedding of set-similarity via sparse projections. Pattern Recognit. Lett. Diego Valsesia, Sophie M. Fosson, Chiara Ravazzi, Tiziano Bianchi, Enrico Magli
2019	J	`jnl`	Analysis of SparseHash: an efficient embedding of set-similarity via sparse projections. CoRR Diego Valsesia, Sophie Marie Fosson, Chiara Ravazzi, Tiziano Bianchi, Enrico Magli
2019	J	`jnl`	Deep Graph-Convolutional Image Denoising. CoRR Diego Valsesia, Giulia Fracastoro, Enrico Magli
2019	—	`conf`	Deep Learning For Super-Resolution Of Unregistered Multi-Temporal Satellite Images. WHISPERS Andrea Bordone Molini, Diego Valsesia, Giulia Fracastoro, Enrico Magli
2019	J	`jnl`	DeepSUM: Deep neural network for Super-resolution of Unregistered Multitemporal images. CoRR Andrea Bordone Molini, Diego Valsesia, Giulia Fracastoro, Enrico Magli
2019	J	`jnl`	High-Throughput Onboard Hyperspectral Image Compression With Ground-Based CNN Reconstruction. IEEE Trans. Geosci. Remote. Sens. Diego Valsesia, Enrico Magli
2019	J	`jnl`	High-throughput Onboard Hyperspectral Image Compression with Ground-based CNN Reconstruction. CoRR Diego Valsesia, Enrico Magli
2019	B	`conf`	Image Denoising with Graph-Convolutional Neural Networks. ICIP Diego Valsesia, Giulia Fracastoro, Enrico Magli
2019	J	`jnl`	Image Denoising with Graph-Convolutional Neural Networks. CoRR Diego Valsesia, Giulia Fracastoro, Enrico Magli
2019	—	`conf`	Learning Localized Generative Models for 3D Point Clouds via Graph Convolution. ICLR (Poster) Diego Valsesia, Giulia Fracastoro, Enrico Magli
2019	J	`jnl`	Sampling of Graph Signals via Randomized Local Aggregations. IEEE Trans. Signal Inf. Process. over Networks Diego Valsesia, Giulia Fracastoro, Enrico Magli
2019	J	`jnl`	ToothPic: Camera-Based Image Retrieval on Large Scales. IEEE Multim. Diego Valsesia, Giulio Coluccia, Tiziano Bianchi, Enrico Magli
2018	J	`jnl`	Sampling of graph signals via randomized local aggregations. CoRR Diego Valsesia, Giulia Fracastoro, Enrico Magli
2017	J	`jnl`	Binary Adaptive Embeddings From Order Statistics of Random Projections. IEEE Signal Process. Lett. Diego Valsesia, Enrico Magli
2017	J	`jnl`	Binary adaptive embeddings from order statistics of random projections. CoRR Diego Valsesia, Enrico Magli
2017	J	`jnl`	Fast and Lightweight Rate Control for Onboard Predictive Coding of Hyperspectral Images. CoRR Diego Valsesia, Enrico Magli
2017	J	`jnl`	Fast and Lightweight Rate Control for Onboard Predictive Coding of Hyperspectral Images. IEEE Geosci. Remote. Sens. Lett. Diego Valsesia, Enrico Magli
2017	J	`jnl`	User Authentication via PRNU-Based Physical Unclonable Functions. IEEE Trans. Inf. Forensics Secur. Diego Valsesia, Giulio Coluccia, Tiziano Bianchi, Enrico Magli
2016	—	`—`	Imaging using random projections: compression, communication, camera identification. Diego Valsesia
2016	B	`conf`	Multispectral image compression using universal vector quantization. ITW Diego Valsesia, Petros T. Boufounos
2016	—	`conf`	SparseHash: Embedding Jaccard coefficient between supports of signals. ICME Workshops Diego Valsesia, Sophie M. Fosson, Chiara Ravazzi, Tiziano Bianchi, Enrico Magli
2016	—	`conf`	Toothpic: Who took this picture? ICME Workshops Diego Valsesia, Giulio Coluccia, Tiziano Bianchi, Enrico Magli
2016	Misc	`conf`	Universal encoding of multispectral images. ICASSP Diego Valsesia, Petros T. Boufounos
2015	J	`jnl`	Graded Quantization for Multiple Description Coding of Compressive Measurements. IEEE Trans. Commun. Diego Valsesia, Giulio Coluccia, Enrico Magli
2015	J	`jnl`	Graded quantization for multiple description coding of compressive measurements. CoRR Diego Valsesia, Giulio Coluccia, Enrico Magli
2015	A	`conf`	Image retrieval based on compressed camera sensor fingerprints. ICME Diego Valsesia, Giulio Coluccia, Tiziano Bianchi, Enrico Magli
2015	J	`jnl`	Large-Scale Image Retrieval Based on Compressed Camera Identification. IEEE Trans. Multim. Diego Valsesia, Giulio Coluccia, Tiziano Bianchi, Enrico Magli
2015	Misc	`conf`	Scale-robust compressive camera fingerprint matching with random projections. ICASSP Diego Valsesia, Giulio Coluccia, Tiziano Bianchi, Enrico Magli
2014	J	`jnl`	A Novel Rate Control Algorithm for Onboard Predictive Coding of Multispectral and Hyperspectral Images. CoRR Diego Valsesia, Enrico Magli
2014	J	`jnl`	A Novel Rate Control Algorithm for Onboard Predictive Coding of Multispectral and Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. Diego Valsesia, Enrico Magli
2014	B	`conf`	A hardware-friendly architecture for onboard rate-controlled predictive coding of hyperspectral and multispectral images. ICIP Diego Valsesia, Enrico Magli
2014	J	`jnl`	Compressive Signal Processing with Circulant Sensing Matrices. CoRR Diego Valsesia, Enrico Magli
2014	Misc	`conf`	Compressive signal processing with circulant sensing matrices. ICASSP Diego Valsesia, Enrico Magli
2013	J	`jnl`	Graded Quantization: Democracy for Multiple Descriptions in Compressed Sensing. CoRR Diego Valsesia, Giulio Coluccia, Enrico Magli
2013	Misc	`conf`	Graded quantization: Democracy for multiple descriptions in compressed sensing. ICASSP Diego Valsesia, Giulio Coluccia, Enrico Magli
2013	Misc	`conf`	Joint recovery algorithms using difference of innovations for distributed compressed sensing. ACSSC Diego Valsesia, Giulio Coluccia, Enrico Magli
2013	J	`jnl`	Joint recovery algorithms using difference of innovations for distributed compressed sensing. CoRR Diego Valsesia, Giulio Coluccia, Enrico Magli
2013	J	`jnl`	Smoothness-Constrained Image Recovery from Block-Based Random Projections. CoRR Giulio Coluccia, Diego Valsesia, Enrico Magli
2013	C	`conf`	Smoothness-constrained image recovery from block-based random projections. MMSP Giulio Coluccia, Diego Valsesia, Enrico Magli
2013	J	`jnl`	Spatially Scalable Compressed Image Sensing with Hybrid Transform and Inter-layer Prediction Model. CoRR Diego Valsesia, Enrico Magli
2013	C	`conf`	Spatially scalable compressed image sensing with hybrid transform and inter-layer prediction model. MMSP Diego Valsesia, Enrico Magli