Emanuele Dalsasso

According to our database, Emanuele Dalsasso authored at least 17 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

MERLIN-Seg: Self-supervised despeckling for label-efficient semantic segmentation.

Emanuele Dalsasso, Clément Rambour, Nicolas Trouvé, Nicolas Thome

Comput. Vis. Image Underst., 2024

POLO - Point-based, multi-class animal detection.

Giacomo May, Emanuele Dalsasso, Benjamin Kellenberger, Devis Tuia

CoRR, 2024

Multi-Scale Grouped Prototypes for Interpretable Semantic Segmentation.

Hugo Porta, Emanuele Dalsasso, Diego Marcos, Devis Tuia

CoRR, 2024

Just Project! Multi-Channel Despeckling, the Easy Way.

Loïc Denis, Emanuele Dalsasso, Florence Tupin

CoRR, 2024

Self-Supervised Learning of Multi-Modal Cooperation for SAR Despeckling.

Victor Gaya, Emanuele Dalsasso, Loïc Denis, Florence Tupin, Béatrice Pinel-Puysségur, Cyrielle Guérin

Proceedings of the IGARSS 2024, 2024

2023

Multitemporal Speckle Reduction With Self-Supervised Deep Neural Networks.

Inès Meraoumia, Emanuele Dalsasso, Loïc Denis, Rémy Abergel, Florence Tupin

IEEE Trans. Geosci. Remote. Sens., 2023

Leveraging Vision-Language Foundation Models for Fine-Grained Downstream Tasks.

Denis Coquenet, Clément Rambour, Emanuele Dalsasso, Nicolas Thome

CoRR, 2023

2022

Deep learning for SAR imagery: from denoising to scene understanding. (Apprentissage profond pour l'imagerie SAR: du débruitage à l'interprétation de scène).

Emanuele Dalsasso

PhD thesis, 2022

As If by Magic: Self-Supervised Training of Deep Despeckling Networks With MERLIN.

Emanuele Dalsasso, Loïc Denis, Florence Tupin

IEEE Trans. Geosci. Remote. Sens., 2022

Multi-temporal speckle reduction with self-supervised deep neural networks.

Inès Meraoumia, Emanuele Dalsasso, Loïc Denis, Rémy Abergel, Florence Tupin

CoRR, 2022

Fast Strategies for Multi-Temporal Speckle Reduction of Sentinel-1 GRD Images.

Inès Meraoumia, Emanuele Dalsasso, Loïc Denis, Florence Tupin

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2021

SAR2SAR: A Semi-Supervised Despeckling Algorithm for SAR Images.

Emanuele Dalsasso, Loïc Denis, Florence Tupin

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Despeckling Sentinel-1 GRD Images by Deep-Learning and Application to Narrow River Segmentation.

Nicolas Gasnier, Emanuele Dalsasso, Loïc Denis, Florence Tupin

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

A Review of Deep-Learning Techniques for SAR Image Restoration.

Loïc Denis, Emanuele Dalsasso, Florence Tupin

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Exploiting Multi-Temporal Information for Improved Speckle Reduction of Sentinel-1 SAR Images by Deep Learning.

Emanuele Dalsasso, Inès Meraoumia, Loïc Denis, Florence Tupin

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2020

SAR Image Despeckling by Deep Neural Networks: from a Pre-Trained Model to an End-to-End Training Strategy.

Emanuele Dalsasso, Xiangli Yang, Loïc Denis, Florence Tupin, Wen Yang

Remote. Sens., 2020

SAR2SAR: a self-supervised despeckling algorithm for SAR images.

Emanuele Dalsasso, Loïc Denis, Florence Tupin

CoRR, 2020