Diego Valsesia

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 71

Top Topics

Image Retrieval

Top Venues

IEEE Trans. Geosci. Remote. Sens.

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)
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)
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)
Tiziano Bianchi, Martina Cilia, Enrico Magli, Andrea Migliorati, Nicola Prette, Diego Valsesia
Onboard Processing Capabilities of an Earth Observation Compressive Sensing Payload. IGARSS (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)
Antonio Montanaro, Diego Valsesia, Enrico Magli
Towards Hyperbolic Regularizers For Point Cloud Part Segmentation. ICASSP (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)
Diego Valsesia, Giulia Fracastoro, Enrico Magli
RAN-GNNs: breaking the capacity limits of graph neural networks. CoRR (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)
Nicola Prette, Diego Valsesia, Tiziano Bianchi
Deep Multiframe Enhancement for Motion Prediction in Video Compression. ICECS (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)
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)
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)
Andrea Bordone Molini, Diego Valsesia, Giulia Fracastoro, Enrico Magli
DeepSUM++: Non-local Deep Neural Network for Super-Resolution of Unregistered Multitemporal Images. CoRR (2020)
Andrea Bordone Molini, Diego Valsesia, Giulia Fracastoro, Enrico Magli
Towards Deep Unsupervised SAR Despeckling with Blind-Spot Convolutional Neural Networks. CoRR (2020)
Francesca Pistilli, Giulia Fracastoro, Diego Valsesia, Enrico Magli
Point Cloud Normal Estimation with Graph-Convolutional Neural Networks. ICME Workshops (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)
Francesca Pistilli, Giulia Fracastoro, Diego Valsesia, Enrico Magli
Learning Graph-Convolutional Representations for Point Cloud Denoising. CoRR (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)
Diego Valsesia, Giulia Fracastoro, Enrico Magli
Deep Graph-Convolutional Image Denoising. CoRR (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)
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)
Andrea Bordone Molini, Diego Valsesia, Giulia Fracastoro, Enrico Magli
DeepSUM: Deep neural network for Super-resolution of Unregistered Multitemporal images. CoRR (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)
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)
Diego Valsesia, Giulia Fracastoro, Enrico Magli
Sampling of graph signals via randomized local aggregations. CoRR (2018)
Diego Valsesia, Enrico Magli
Binary adaptive embeddings from order statistics of random projections. CoRR (2017)
Diego Valsesia, Giulio Coluccia, Tiziano Bianchi, Enrico Magli
User Authentication via PRNU-Based Physical Unclonable Functions. IEEE Trans. Inf. Forensics Secur. 12 (8) (2017)
Diego Valsesia, Enrico Magli
Fast and Lightweight Rate Control for Onboard Predictive Coding of Hyperspectral Images. CoRR (2017)
Diego Valsesia, Enrico Magli
Binary Adaptive Embeddings From Order Statistics of Random Projections. IEEE Signal Process. Lett. 24 (1) (2017)
Diego Valsesia, Enrico Magli
Fast and Lightweight Rate Control for Onboard Predictive Coding of Hyperspectral Images. IEEE Geosci. Remote. Sens. Lett. 14 (3) (2017)
Diego Valsesia, Sophie M. Fosson, Chiara Ravazzi, Tiziano Bianchi, Enrico Magli
SparseHash: Embedding Jaccard coefficient between supports of signals. ICME Workshops (2016)
Diego Valsesia, Petros T. Boufounos
Universal encoding of multispectral images. ICASSP (2016)
Diego Valsesia, Giulio Coluccia, Tiziano Bianchi, Enrico Magli
Toothpic: Who took this picture? ICME Workshops (2016)
Diego Valsesia, Petros T. Boufounos
Multispectral image compression using universal vector quantization. ITW (2016)
Diego Valsesia, Giulio Coluccia, Tiziano Bianchi, Enrico Magli
Image retrieval based on compressed camera sensor fingerprints. ICME (2015)
Diego Valsesia, Giulio Coluccia, Tiziano Bianchi, Enrico Magli
Scale-robust compressive camera fingerprint matching with random projections. ICASSP (2015)
Diego Valsesia, Giulio Coluccia, Enrico Magli
Graded Quantization for Multiple Description Coding of Compressive Measurements. IEEE Trans. Commun. 63 (5) (2015)
Diego Valsesia, Giulio Coluccia, Tiziano Bianchi, Enrico Magli
Large-Scale Image Retrieval Based on Compressed Camera Identification. IEEE Trans. Multim. 17 (9) (2015)
Diego Valsesia, Giulio Coluccia, Enrico Magli
Graded quantization for multiple description coding of compressive measurements. CoRR (2015)
Diego Valsesia, Enrico Magli
A hardware-friendly architecture for onboard rate-controlled predictive coding of hyperspectral and multispectral images. ICIP (2014)
Diego Valsesia, Enrico Magli
Compressive Signal Processing with Circulant Sensing Matrices. CoRR (2014)
Diego Valsesia, Enrico Magli
Compressive signal processing with circulant sensing matrices. ICASSP (2014)
Diego Valsesia, Enrico Magli
A Novel Rate Control Algorithm for Onboard Predictive Coding of Multispectral and Hyperspectral Images. CoRR (2014)
Diego Valsesia, Enrico Magli
A Novel Rate Control Algorithm for Onboard Predictive Coding of Multispectral and Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 52 (10) (2014)
Diego Valsesia, Enrico Magli
Spatially Scalable Compressed Image Sensing with Hybrid Transform and Inter-layer Prediction Model. CoRR (2013)
Diego Valsesia, Giulio Coluccia, Enrico Magli
Joint recovery algorithms using difference of innovations for distributed compressed sensing. ACSSC (2013)
Diego Valsesia, Giulio Coluccia, Enrico Magli
Joint recovery algorithms using difference of innovations for distributed compressed sensing. CoRR (2013)
Giulio Coluccia, Diego Valsesia, Enrico Magli
Smoothness-constrained image recovery from block-based random projections. MMSP (2013)
Diego Valsesia, Enrico Magli
Spatially scalable compressed image sensing with hybrid transform and inter-layer prediction model. MMSP (2013)
Giulio Coluccia, Diego Valsesia, Enrico Magli
Smoothness-Constrained Image Recovery from Block-Based Random Projections. CoRR (2013)
Diego Valsesia, Giulio Coluccia, Enrico Magli
Graded quantization: Democracy for multiple descriptions in compressed sensing. ICASSP (2013)
Diego Valsesia, Giulio Coluccia, Enrico Magli
Graded Quantization: Democracy for Multiple Descriptions in Compressed Sensing. CoRR (2013)