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2020 – today
- 2024
- [j19]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) - [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
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last updated on 2024-08-05 20:23 CEST by the dblp team
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