Diego Valsesia

Orcid: 0000-0003-1997-2910

According to our database1, Diego Valsesia authored at least 61 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Modeling uncertainty for Gaussian Splatting.
CoRR, 2024

Onboard deep lossless and near-lossless predictive coding of hyperspectral images with line-based attention.
CoRR, 2024

Deep 3D World Models for Multi-Image Super-Resolution Beyond Optical Flow.
CoRR, 2024

2023
RAN-GNNs: Breaking the Capacity Limits of Graph Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., August, 2023

Fast Inference in Denoising Diffusion Models via MMD Finetuning.
CoRR, 2023

On the Use of Machine Learning Algorithms to Improve GNSS Products.
Proceedings of the IEEE/ION Position, Location and Navigation Symposium, 2023

Towards Unsupervised Multi-Temporal Satellite Image Super-Resolution.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Proba-V Multi-Temporal Super-Resolution Guided by Sentinel-2.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Diffraction Efficiency-Aware Reconstruction for Compressive Sensing in the Mid-Infrared.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Onboard Processing Capabilities of an Earth Observation Compressive Sensing Payload.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Towards Hyperbolic Regularizers For Point Cloud Part Segmentation.
Proceedings of the IEEE International Conference on Acoustics, 2023

Multi-Level Fusion for Burst Super-Resolution with Deep Permutation-Invariant Conditioning.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Permutation Invariance and Uncertainty in Multitemporal Image Super-Resolution.
IEEE Trans. Geosci. Remote. Sens., 2022

Speckle2Void: Deep Self-Supervised SAR Despeckling With Blind-Spot Convolutional Neural Networks.
IEEE Trans. Geosci. Remote. Sens., 2022

Semi-Supervised Learning for Joint SAR and Multispectral Land Cover Classification.
IEEE Geosci. Remote. Sens. Lett., 2022

Rethinking the compositionality of point clouds through regularization in the hyperbolic space.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Cross-modal Learning for Image-Guided Point Cloud Shape Completion.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Super-Resolved Multi-Temporal Segmentation with Deep Permutation-Invariant Networks.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Exploring the Solution Space of Linear Inverse Problems with GAN Latent Geometry.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Signal Compression via Neural Implicit Representations.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Learning Localized Representations of Point Clouds With Graph-Convolutional Generative Adversarial Networks.
IEEE Trans. Multim., 2021

Learning Robust Graph-Convolutional Representations for Point Cloud Denoising.
IEEE J. Sel. Top. Signal Process., 2021

Self-supervised learning for joint SAR and multispectral land cover classification.
CoRR, 2021


Deep Multiframe Enhancement for Motion Prediction in Video Compression.
Proceedings of the 28th IEEE International Conference on Electronics, 2021

Denoise and Contrast for Category Agnostic Shape Completion.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Deep Graph-Convolutional Image Denoising.
IEEE Trans. Image Process., 2020

DeepSUM: Deep Neural Network for Super-Resolution of Unregistered Multitemporal Images.
IEEE Trans. Geosci. Remote. Sens., 2020

Deep learning methods for SAR image despeckling: trends and perspectives.
CoRR, 2020

NIR image colorization with graph-convolutional neural networks.
Proceedings of the 2020 IEEE International Conference on Visual Communications and Image Processing, 2020

Detection of Solar Coronal Mass Ejections from Raw Images with Deep Convolutional Neural Networks.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Towards Deep Unsupervised Sar Despeckling with Blind-Spot Convolutional Neural Networks.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Deepsum++: Non-Local Deep Neural Network for Super-Resolution of Unregistered Multitemporal Images.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Point Cloud Normal Estimation with Graph-Convolutional Neural Networks.
Proceedings of the 2020 IEEE International Conference on Multimedia & Expo Workshops, 2020

Learning Graph-Convolutional Representations for Point Cloud Denoising.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
Sampling of Graph Signals via Randomized Local Aggregations.
IEEE Trans. Signal Inf. Process. over Networks, 2019

High-Throughput Onboard Hyperspectral Image Compression With Ground-Based CNN Reconstruction.
IEEE Trans. Geosci. Remote. Sens., 2019

Analysis of SparseHash: An efficient embedding of set-similarity via sparse projections.
Pattern Recognit. Lett., 2019

ToothPic: Camera-Based Image Retrieval on Large Scales.
IEEE Multim., 2019

Deep Learning For Super-Resolution Of Unregistered Multi-Temporal Satellite Images.
Proceedings of the 10th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2019

Learning Localized Generative Models for 3D Point Clouds via Graph Convolution.
Proceedings of the 7th International Conference on Learning Representations, 2019

Image Denoising with Graph-Convolutional Neural Networks.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

2017
User Authentication via PRNU-Based Physical Unclonable Functions.
IEEE Trans. Inf. Forensics Secur., 2017

Binary Adaptive Embeddings From Order Statistics of Random Projections.
IEEE Signal Process. Lett., 2017

Fast and Lightweight Rate Control for Onboard Predictive Coding of Hyperspectral Images.
IEEE Geosci. Remote. Sens. Lett., 2017

2016
Imaging using random projections: compression, communication, camera identification.
PhD thesis, 2016

Multispectral image compression using universal vector quantization.
Proceedings of the 2016 IEEE Information Theory Workshop, 2016

SparseHash: Embedding Jaccard coefficient between supports of signals.
Proceedings of the 2016 IEEE International Conference on Multimedia & Expo Workshops, 2016

Toothpic: Who took this picture?
Proceedings of the 2016 IEEE International Conference on Multimedia & Expo Workshops, 2016

Universal encoding of multispectral images.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015
Large-Scale Image Retrieval Based on Compressed Camera Identification.
IEEE Trans. Multim., 2015

Graded Quantization for Multiple Description Coding of Compressive Measurements.
IEEE Trans. Commun., 2015

Image retrieval based on compressed camera sensor fingerprints.
Proceedings of the 2015 IEEE International Conference on Multimedia and Expo, 2015

Scale-robust compressive camera fingerprint matching with random projections.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

2014
A Novel Rate Control Algorithm for Onboard Predictive Coding of Multispectral and Hyperspectral Images.
IEEE Trans. Geosci. Remote. Sens., 2014

A hardware-friendly architecture for onboard rate-controlled predictive coding of hyperspectral and multispectral images.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Compressive signal processing with circulant sensing matrices.
Proceedings of the IEEE International Conference on Acoustics, 2014

2013
Spatially scalable compressed image sensing with hybrid transform and inter-layer prediction model.
Proceedings of the 15th IEEE International Workshop on Multimedia Signal Processing, 2013

Smoothness-constrained image recovery from block-based random projections.
Proceedings of the 15th IEEE International Workshop on Multimedia Signal Processing, 2013

Graded quantization: Democracy for multiple descriptions in compressed sensing.
Proceedings of the IEEE International Conference on Acoustics, 2013

Joint recovery algorithms using difference of innovations for distributed compressed sensing.
Proceedings of the 2013 Asilomar Conference on Signals, 2013


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