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2020 – today
- 2024
[j21]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: 65024-65031 (2024)- [j20]Emanuele Aiello, Diego Valsesia, Enrico Magli:
Fast Inference in Denoising Diffusion Models via MMD Finetuning. IEEE Access 12: 106912-106923 (2024) - [j19]Diego Valsesia, Tiziano Bianchi, Enrico Magli:
Onboard Deep Lossless and Near-Lossless Predictive Coding of Hyperspectral Images With Line-Based Attention. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024) - [c38]Matteo Impieri, Diego Valsesia, Tiziano Bianchi, Enrico Magli:
Degradation-Aware Self-Supervised Multi-Temporal Super-Resolution. IGARSS 2024: 1099-1102 - [c37]Diego Valsesia, Tiziano Bianchi, Enrico Magli:
Hybrid Recurrent-Attentive Neural Network for Onboard Predictive Hyperspectral Image Compression. IGARSS 2024: 7898-7902 - [i33]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 abs/2401.16972 (2024) - [i32]Diego Valsesia, Tiziano Bianchi, Enrico Magli:
Onboard deep lossless and near-lossless predictive coding of hyperspectral images with line-based attention. CoRR abs/2403.17677 (2024) - [i31]Luca Savant Aira, Diego Valsesia, Enrico Magli:
Modeling uncertainty for Gaussian Splatting. CoRR abs/2403.18476 (2024) - [i30]Luca Savant Aira, Antonio Montanaro, Emanuele Aiello, Diego Valsesia, Enrico Magli:
MotionCraft: Physics-based Zero-Shot Video Generation. CoRR abs/2405.13557 (2024) - 2023
- [j18]Diego Valsesia, Giulia Fracastoro, Enrico Magli:
RAN-GNNs: Breaking the Capacity Limits of Graph Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 34(8): 4610-4619 (2023) - [c36]Martina Cilia, Diego Valsesia, Giulia Fracastoro, Enrico Magli:
Multi-Level Fusion for Burst Super-Resolution with Deep Permutation-Invariant Conditioning. ICASSP 2023: 1-5 - [c35]Antonio Montanaro, Diego Valsesia, Enrico Magli:
Towards Hyperbolic Regularizers For Point Cloud Part Segmentation. ICASSP 2023: 1-5 - [c34]Tiziano Bianchi, Martina Cilia, Enrico Magli, Andrea Migliorati, Nicola Prette, Diego Valsesia:
Onboard Processing Capabilities of an Earth Observation Compressive Sensing Payload. IGARSS 2023: 4234-4237 - [c33]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: 4463-4465 - [c32]Nicola Prette, Diego Valsesia, Tiziano Bianchi, Enrico Magli:
Towards Unsupervised Multi-Temporal Satellite Image Super-Resolution. IGARSS 2023: 5135-5138 - [c31]Gabriele Inzerillo, Diego Valsesia, Enrico Magli, Fabrizio Niro, Erminia De Grandis:
Proba-V Multi-Temporal Super-Resolution Guided by Sentinel-2. IGARSS 2023: 5139-5142 - [c30]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: 216-227 - [i29]Emanuele Aiello, Diego Valsesia, Enrico Magli:
Fast Inference in Denoising Diffusion Models via MMD Finetuning. CoRR abs/2301.07969 (2023) - 2022
- [j17]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: 1-5 (2022) - [j16]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: 1-17 (2022) - [j15]Diego Valsesia, Enrico Magli:
Permutation Invariance and Uncertainty in Multitemporal Image Super-Resolution. IEEE Trans. Geosci. Remote. Sens. 60: 1-12 (2022) - [c29]Francesca Pistilli, Diego Valsesia, Giulia Fracastoro, Enrico Magli:
Signal Compression via Neural Implicit Representations. ICASSP 2022: 3733-3737 - [c28]Antonio Montanaro, Diego Valsesia, Enrico Magli:
Exploring the Solution Space of Linear Inverse Problems with GAN Latent Geometry. ICIP 2022: 1381-1385 - [c27]Diego Valsesia, Enrico Magli:
Super-Resolved Multi-Temporal Segmentation with Deep Permutation-Invariant Networks. IGARSS 2022: 995-998 - [c26]Emanuele Aiello, Diego Valsesia, Enrico Magli:
Cross-modal Learning for Image-Guided Point Cloud Shape Completion. NeurIPS 2022 - [c25]Antonio Montanaro, Diego Valsesia, Enrico Magli:
Rethinking the compositionality of point clouds through regularization in the hyperbolic space. NeurIPS 2022 - [i28]Diego Valsesia, Enrico Magli:
Super-resolved multi-temporal segmentation with deep permutation-invariant networks. CoRR abs/2204.02631 (2022) - [i27]Antonio Montanaro, Diego Valsesia, Enrico Magli:
Exploring the solution space of linear inverse problems with GAN latent geometry. CoRR abs/2207.00460 (2022) - [i26]Emanuele Aiello, Diego Valsesia, Enrico Magli:
Cross-modal Learning for Image-Guided Point Cloud Shape Completion. CoRR abs/2209.09552 (2022) - [i25]Antonio Montanaro, Diego Valsesia, Enrico Magli:
Rethinking the compositionality of point clouds through regularization in the hyperbolic space. CoRR abs/2209.10318 (2022) - 2021
- [j14]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): 402-414 (2021) - [j13]Diego Valsesia, Giulia Fracastoro, Enrico Magli:
Learning Localized Representations of Point Clouds With Graph-Convolutional Generative Adversarial Networks. IEEE Trans. Multim. 23: 402-414 (2021) - [c24]Antonio Alliegro, Diego Valsesia, Giulia Fracastoro, Enrico Magli, Tatiana Tommasi:
Denoise and Contrast for Category Agnostic Shape Completion. CVPR 2021: 4629-4638 - [c23]Nicola Prette, Diego Valsesia, Tiziano Bianchi:
Deep Multiframe Enhancement for Motion Prediction in Video Compression. ICECS 2021: 1-6 - [c22]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: 7864-7867 - [i24]Diego Valsesia, Giulia Fracastoro, Enrico Magli:
RAN-GNNs: breaking the capacity limits of graph neural networks. CoRR abs/2103.15565 (2021) - [i23]Antonio Alliegro, Diego Valsesia, Giulia Fracastoro, Enrico Magli, Tatiana Tommasi:
Denoise and Contrast for Category Agnostic Shape Completion. CoRR abs/2103.16671 (2021) - [i22]Diego Valsesia, Enrico Magli:
Permutation invariance and uncertainty in multitemporal image super-resolution. CoRR abs/2105.12409 (2021) - [i21]Antonio Montanaro, Diego Valsesia, Giulia Fracastoro, Enrico Magli:
Self-supervised learning for joint SAR and multispectral land cover classification. CoRR abs/2108.09075 (2021) - 2020
- [j12]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): 3644-3656 (2020) - [j11]Diego Valsesia, Giulia Fracastoro, Enrico Magli:
Deep Graph-Convolutional Image Denoising. IEEE Trans. Image Process. 29: 8226-8237 (2020) - [c21]Francesca Pistilli, Giulia Fracastoro, Diego Valsesia, Enrico Magli:
Learning Graph-Convolutional Representations for Point Cloud Denoising. ECCV (20) 2020: 103-118 - [c20]Francesca Pistilli, Giulia Fracastoro, Diego Valsesia, Enrico Magli:
Point Cloud Normal Estimation with Graph-Convolutional Neural Networks. ICME Workshops 2020: 1-6 - [c19]Andrea Bordone Molini, Diego Valsesia, Giulia Fracastoro, Enrico Magli:
Deepsum++: Non-Local Deep Neural Network for Super-Resolution of Unregistered Multitemporal Images. IGARSS 2020: 609-612 - [c18]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: 2272-2275 - [c17]Andrea Bordone Molini, Diego Valsesia, Giulia Fracastoro, Enrico Magli:
Towards Deep Unsupervised Sar Despeckling with Blind-Spot Convolutional Neural Networks. IGARSS 2020: 2507-2510 - [c16]Diego Valsesia, Giulia Fracastoro, Enrico Magli:
NIR image colorization with graph-convolutional neural networks. VCIP 2020: 451-454 - [i20]Andrea Bordone Molini, Diego Valsesia, Giulia Fracastoro, Enrico Magli:
Towards Deep Unsupervised SAR Despeckling with Blind-Spot Convolutional Neural Networks. CoRR abs/2001.05264 (2020) - [i19]Andrea Bordone Molini, Diego Valsesia, Giulia Fracastoro, Enrico Magli:
DeepSUM++: Non-local Deep Neural Network for Super-Resolution of Unregistered Multitemporal Images. CoRR abs/2001.06342 (2020) - [i18]Andrea Bordone Molini, Diego Valsesia, Giulia Fracastoro, Enrico Magli:
Speckle2Void: Deep Self-Supervised SAR Despeckling with Blind-Spot Convolutional Neural Networks. CoRR abs/2007.02075 (2020) - [i17]Francesca Pistilli, Giulia Fracastoro, Diego Valsesia, Enrico Magli:
Learning Graph-Convolutional Representations for Point Cloud Denoising. CoRR abs/2007.02578 (2020) - [i16]Giulia Fracastoro, Enrico Magli, Giovanni Poggi, Giuseppe Scarpa, Diego Valsesia, Luisa Verdoliva:
Deep learning methods for SAR image despeckling: trends and perspectives. CoRR abs/2012.05508 (2020)
2010 – 2019
- 2019
- [j10]Diego Valsesia, Giulio Coluccia, Tiziano Bianchi, Enrico Magli:
ToothPic: Camera-Based Image Retrieval on Large Scales. IEEE Multim. 26(2): 33-43 (2019) - [j9]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: 93-99 (2019) - [j8]Diego Valsesia, Enrico Magli:
High-Throughput Onboard Hyperspectral Image Compression With Ground-Based CNN Reconstruction. IEEE Trans. Geosci. Remote. Sens. 57(12): 9544-9553 (2019) - [j7]Diego Valsesia, Giulia Fracastoro, Enrico Magli:
Sampling of Graph Signals via Randomized Local Aggregations. IEEE Trans. Signal Inf. Process. over Networks 5(2): 348-359 (2019) - [c15]Diego Valsesia, Giulia Fracastoro, Enrico Magli:
Image Denoising with Graph-Convolutional Neural Networks. ICIP 2019: 2399-2403 - [c14]Diego Valsesia, Giulia Fracastoro, Enrico Magli:
Learning Localized Generative Models for 3D Point Clouds via Graph Convolution. ICLR (Poster) 2019 - [c13]Andrea Bordone Molini, Diego Valsesia, Giulia Fracastoro, Enrico Magli:
Deep Learning For Super-Resolution Of Unregistered Multi-Temporal Satellite Images. WHISPERS 2019: 1-5 - [i15]Diego Valsesia, Giulia Fracastoro, Enrico Magli:
Image Denoising with Graph-Convolutional Neural Networks. CoRR abs/1905.12281 (2019) - [i14]Diego Valsesia, Enrico Magli:
High-throughput Onboard Hyperspectral Image Compression with Ground-based CNN Reconstruction. CoRR abs/1907.02959 (2019) - [i13]Andrea Bordone Molini, Diego Valsesia, Giulia Fracastoro, Enrico Magli:
DeepSUM: Deep neural network for Super-resolution of Unregistered Multitemporal images. CoRR abs/1907.06490 (2019) - [i12]Diego Valsesia, Giulia Fracastoro, Enrico Magli:
Deep Graph-Convolutional Image Denoising. CoRR abs/1907.08448 (2019) - [i11]Diego Valsesia, Sophie Marie Fosson, Chiara Ravazzi, Tiziano Bianchi, Enrico Magli:
Analysis of SparseHash: an efficient embedding of set-similarity via sparse projections. CoRR abs/1909.01802 (2019) - 2018
- [i10]Diego Valsesia, Giulia Fracastoro, Enrico Magli:
Sampling of graph signals via randomized local aggregations. CoRR abs/1804.06182 (2018) - 2017
- [j6]Diego Valsesia, Enrico Magli:
Fast and Lightweight Rate Control for Onboard Predictive Coding of Hyperspectral Images. IEEE Geosci. Remote. Sens. Lett. 14(3): 394-398 (2017) - [j5]Diego Valsesia, Enrico Magli:
Binary Adaptive Embeddings From Order Statistics of Random Projections. IEEE Signal Process. Lett. 24(1): 111-115 (2017) - [j4]Diego Valsesia, Giulio Coluccia, Tiziano Bianchi, Enrico Magli:
User Authentication via PRNU-Based Physical Unclonable Functions. IEEE Trans. Inf. Forensics Secur. 12(8): 1941-1956 (2017) - [i9]Diego Valsesia, Enrico Magli:
Binary adaptive embeddings from order statistics of random projections. CoRR abs/1701.08511 (2017) - [i8]Diego Valsesia, Enrico Magli:
Fast and Lightweight Rate Control for Onboard Predictive Coding of Hyperspectral Images. CoRR abs/1701.08513 (2017) - 2016
- [b1]Diego Valsesia:
Imaging using random projections: compression, communication, camera identification. Polytechnic University of Turin, Italy, 2016 - [c12]Diego Valsesia, Petros T. Boufounos:
Universal encoding of multispectral images. ICASSP 2016: 4453-4457 - [c11]Diego Valsesia, Giulio Coluccia, Tiziano Bianchi, Enrico Magli:
Toothpic: Who took this picture? ICME Workshops 2016: 1-2 - [c10]Diego Valsesia, Sophie M. Fosson, Chiara Ravazzi, Tiziano Bianchi, Enrico Magli:
SparseHash: Embedding Jaccard coefficient between supports of signals. ICME Workshops 2016: 1-6 - [c9]Diego Valsesia, Petros T. Boufounos:
Multispectral image compression using universal vector quantization. ITW 2016: 151-155 - 2015
- [j3]Diego Valsesia, Giulio Coluccia, Enrico Magli:
Graded Quantization for Multiple Description Coding of Compressive Measurements. IEEE Trans. Commun. 63(5): 1648-1660 (2015) - [j2]Diego Valsesia, Giulio Coluccia, Tiziano Bianchi, Enrico Magli:
Large-Scale Image Retrieval Based on Compressed Camera Identification. IEEE Trans. Multim. 17(9): 1439-1449 (2015) - [c8]Diego Valsesia, Giulio Coluccia, Tiziano Bianchi, Enrico Magli:
Scale-robust compressive camera fingerprint matching with random projections. ICASSP 2015: 1697-1701 - [c7]Diego Valsesia, Giulio Coluccia, Tiziano Bianchi, Enrico Magli:
Image retrieval based on compressed camera sensor fingerprints. ICME 2015: 1-6 - [i7]Diego Valsesia, Giulio Coluccia, Enrico Magli:
Graded quantization for multiple description coding of compressive measurements. CoRR abs/1503.08696 (2015) - 2014
- [j1]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): 6341-6355 (2014) - [c6]Diego Valsesia, Enrico Magli:
Compressive signal processing with circulant sensing matrices. ICASSP 2014: 1015-1019 - [c5]Diego Valsesia, Enrico Magli:
A hardware-friendly architecture for onboard rate-controlled predictive coding of hyperspectral and multispectral images. ICIP 2014: 5142-5146 - [i6]Diego Valsesia, Enrico Magli:
A Novel Rate Control Algorithm for Onboard Predictive Coding of Multispectral and Hyperspectral Images. CoRR abs/1401.3277 (2014) - [i5]Diego Valsesia, Enrico Magli:
Compressive Signal Processing with Circulant Sensing Matrices. CoRR abs/1403.2835 (2014) - 2013
- [c4]Diego Valsesia, Giulio Coluccia, Enrico Magli:
Joint recovery algorithms using difference of innovations for distributed compressed sensing. ACSSC 2013: 414-417 - [c3]Diego Valsesia, Giulio Coluccia, Enrico Magli:
Graded quantization: Democracy for multiple descriptions in compressed sensing. ICASSP 2013: 5825-5829 - [c2]Giulio Coluccia, Diego Valsesia, Enrico Magli:
Smoothness-constrained image recovery from block-based random projections. MMSP 2013: 129-134 - [c1]Diego Valsesia, Enrico Magli:
Spatially scalable compressed image sensing with hybrid transform and inter-layer prediction model. MMSP 2013: 373-378 - [i4]Diego Valsesia, Giulio Coluccia, Enrico Magli:
Graded Quantization: Democracy for Multiple Descriptions in Compressed Sensing. CoRR abs/1310.1217 (2013) - [i3]Diego Valsesia, Enrico Magli:
Spatially Scalable Compressed Image Sensing with Hybrid Transform and Inter-layer Prediction Model. CoRR abs/1310.1221 (2013) - [i2]Giulio Coluccia, Diego Valsesia, Enrico Magli:
Smoothness-Constrained Image Recovery from Block-Based Random Projections. CoRR abs/1310.7813 (2013) - [i1]Diego Valsesia, Giulio Coluccia, Enrico Magli:
Joint recovery algorithms using difference of innovations for distributed compressed sensing. CoRR abs/1311.2433 (2013)
Coauthor Index
[j21] [j20] [j19] [c38] [c37] [i33] [i32] [i31] [i30] [j18] [c36] [c35] [c34] [c33] [c32] [c31] [c30] [i29] [j17] [j16] [j15] [c29] [c28] [c27] [c26] [c25] [i28] [i27] [i26] [i25] [j14] [j13] [c24] [c22] [i24] [i23] [i22] [i21] [j12] [j11] [c21] [c20] [c19] [c18] [c17] [c16] [i20] [i19] [i18] [i17] [i16] [j10] [j9] [j8] [j7] [c15] [c14] [c13] [i15] [i14] [i13] [i12] [i11] [i10] [j6] [j5] [j4] [i9] [i8] [c11] [c10] [j3] [j2] [c8] [c7] [i7] [j1] [c6] [c5] [i6] [i5] [c4] [c3] [c2] [c1] [i4] [i3] [i2] [i1]
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