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Emanuele Dalsasso
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2020 – today
- 2024
- [j5]Emanuele Dalsasso
, Clément Rambour
, Nicolas Trouvé, Nicolas Thome:
MERLIN-Seg: Self-supervised despeckling for label-efficient semantic segmentation. Comput. Vis. Image Underst. 241: 103940 (2024) - 2023
- [j4]Inès Meraoumia
, Emanuele Dalsasso
, Loïc Denis
, Rémy Abergel
, Florence Tupin
:
Multitemporal Speckle Reduction With Self-Supervised Deep Neural Networks. IEEE Trans. Geosci. Remote. Sens. 61: 1-14 (2023) - [i8]Denis Coquenet, Clément Rambour, Emanuele Dalsasso, Nicolas Thome:
Leveraging Vision-Language Foundation Models for Fine-Grained Downstream Tasks. CoRR abs/2307.06795 (2023) - 2022
- [b1]Emanuele Dalsasso:
Deep learning for SAR imagery: from denoising to scene understanding. (Apprentissage profond pour l'imagerie SAR: du débruitage à l'interprétation de scène). Polytechnic Institute of Paris, Palaiseau, France, 2022 - [j3]Emanuele Dalsasso
, Loïc Denis
, Florence Tupin
:
As If by Magic: Self-Supervised Training of Deep Despeckling Networks With MERLIN. IEEE Trans. Geosci. Remote. Sens. 60: 1-13 (2022) - [c4]Inès Meraoumia, Emanuele Dalsasso, Loïc Denis, Florence Tupin:
Fast Strategies for Multi-Temporal Speckle Reduction of Sentinel-1 GRD Images. IGARSS 2022: 687-690 - [i7]Inès Meraoumia, Emanuele Dalsasso, Loïc Denis, Rémy Abergel, Florence Tupin:
Multi-temporal speckle reduction with self-supervised deep neural networks. CoRR abs/2207.11095 (2022) - [i6]Inès Meraoumia, Emanuele Dalsasso, Loïc Denis, Florence Tupin:
Fast strategies for multi-temporal speckle reduction of Sentinel-1 GRD images. CoRR abs/2207.11111 (2022) - 2021
- [j2]Emanuele Dalsasso
, Loïc Denis
, Florence Tupin
:
SAR2SAR: A Semi-Supervised Despeckling Algorithm for SAR Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 4321-4329 (2021) - [c3]Loïc Denis, Emanuele Dalsasso, Florence Tupin:
A Review of Deep-Learning Techniques for SAR Image Restoration. IGARSS 2021: 411-414 - [c2]Emanuele Dalsasso, Inès Meraoumia, Loïc Denis, Florence Tupin:
Exploiting Multi-Temporal Information for Improved Speckle Reduction of Sentinel-1 SAR Images by Deep Learning. IGARSS 2021: 1081-1084 - [c1]Nicolas Gasnier, Emanuele Dalsasso, Loïc Denis, Florence Tupin:
Despeckling Sentinel-1 GRD Images by Deep-Learning and Application to Narrow River Segmentation. IGARSS 2021: 2995-2998 - [i5]Emanuele Dalsasso, Inès Meraoumia, Loïc Denis
, Florence Tupin:
Exploiting multi-temporal information for improved speckle reduction of Sentinel-1 SAR images by deep learning. CoRR abs/2102.00682 (2021) - [i4]Nicolas Gasnier
, Emanuele Dalsasso, Loïc Denis
, Florence Tupin:
Despeckling Sentinel-1 GRD images by deep learning and application to narrow river segmentation. CoRR abs/2102.00692 (2021) - [i3]Emanuele Dalsasso, Loïc Denis, Florence Tupin:
As if by magic: self-supervised training of deep despeckling networks with MERLIN. CoRR abs/2110.13148 (2021) - 2020
- [j1]Emanuele Dalsasso
, Xiangli Yang
, Loïc Denis
, Florence Tupin
, Wen Yang
:
SAR Image Despeckling by Deep Neural Networks: from a Pre-Trained Model to an End-to-End Training Strategy. Remote. Sens. 12(16): 2636 (2020) - [i2]Emanuele Dalsasso, Loïc Denis
, Florence Tupin:
SAR2SAR: a self-supervised despeckling algorithm for SAR images. CoRR abs/2006.15037 (2020) - [i1]Emanuele Dalsasso, Xiangli Yang, Loïc Denis, Florence Tupin, Wen Yang:
SAR Image Despeckling by Deep Neural Networks: from a pre-trained model to an end-to-end training strategy. CoRR abs/2006.15559 (2020)
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