Emanuele Dalsasso

32 papers A 1C 5Journal 22Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	CanadaFireSat: Toward high-resolution wildfire forecasting with multiple modalities. CoRR Hugo Porta, Emanuele Dalsasso, Jessica L. McCarty, Devis Tuia
2025	J	`jnl`	How to minimize the annotation effort in aerial wildlife surveys. Ecol. Informatics Giacomo May, Emanuele Dalsasso, Alexandre Delplanque, Benjamin Kellenberger, Devis Tuia
2025	J	`jnl`	Joint Despeckling and Thermal Noise Compensation: Application to Sentinel-1 Images of the Arctic. IEEE Trans. Geosci. Remote. Sens. Inès Meraoumia, Debanshu Ratha, Emanuele Dalsasso, Johannes Lohse, Florence Tupin, Andrea Marinoni, Loïc Denis
2025	J	`jnl`	Just Project! Multichannel Despeckling, the Easy Way. IEEE Trans. Geosci. Remote. Sens. Loïc Denis, Emanuele Dalsasso, Florence Tupin
2025	A	`conf`	Multi-Scale Grouped Prototypes for Interpretable Semantic Segmentation. WACV Hugo Porta, Emanuele Dalsasso, Diego Marcos, Devis Tuia
2025	J	`jnl`	SMARTIES: Spectrum-Aware Multi-Sensor Auto-Encoder for Remote Sensing Images. CoRR Gencer Sumbul, Chang Xu, Emanuele Dalsasso, Devis Tuia
2025	—	`conf`	Self-supervised Change Detection via Cooperative Learning: A Two-Player Model. JURSE Manon Béchaz, Emanuele Dalsasso, Ciprian Tomoiaga, Marcin Detyniecki, Devis Tuia
2024	J	`jnl`	Just Project! Multi-Channel Despeckling, the Easy Way. CoRR Loïc Denis, Emanuele Dalsasso, Florence Tupin
2024	J	`jnl`	MERLIN-Seg: Self-supervised despeckling for label-efficient semantic segmentation. Comput. Vis. Image Underst. Emanuele Dalsasso, Clément Rambour, Nicolas Trouvé, Nicolas Thome
2024	J	`jnl`	Multi-Scale Grouped Prototypes for Interpretable Semantic Segmentation. CoRR Hugo Porta, Emanuele Dalsasso, Diego Marcos, Devis Tuia
2024	J	`jnl`	Multi-Scale and Multimodal Species Distribution Modeling. CoRR Nina Van Tiel, Robin Zbinden, Emanuele Dalsasso, Benjamin Kellenberger, Loïc Pellissier, Devis Tuia
2024	—	`conf`	Multi-scale and Multimodal Species Distribution Modeling. ECCV Workshops (2) Nina Van Tiel, Robin Zbinden, Emanuele Dalsasso, Benjamin Kellenberger, Loïc Pellissier, Devis Tuia
2024	—	`conf`	POLO - Point-Based, Multi-class Animal Detection. ECCV Workshops (2) Giacomo May, Emanuele Dalsasso, Benjamin Kellenberger, Devis Tuia
2024	J	`jnl`	POLO - Point-based, multi-class animal detection. CoRR Giacomo May, Emanuele Dalsasso, Benjamin Kellenberger, Devis Tuia
2024	C	`conf`	Self-Supervised Learning of Multi-Modal Cooperation for SAR Despeckling. IGARSS Victor Gaya, Emanuele Dalsasso, Loïc Denis, Florence Tupin, Béatrice Pinel-Puysségur, Cyrielle Guérin
2023	J	`jnl`	Leveraging Vision-Language Foundation Models for Fine-Grained Downstream Tasks. CoRR Denis Coquenet, Clément Rambour, Emanuele Dalsasso, Nicolas Thome
2023	J	`jnl`	Multitemporal Speckle Reduction With Self-Supervised Deep Neural Networks. IEEE Trans. Geosci. Remote. Sens. Inès Meraoumia, Emanuele Dalsasso, Loïc Denis, Rémy Abergel, Florence Tupin
2022	J	`jnl`	As If by Magic: Self-Supervised Training of Deep Despeckling Networks With MERLIN. IEEE Trans. Geosci. Remote. Sens. Emanuele Dalsasso, Loïc Denis, Florence Tupin
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
2022	C	`conf`	Fast Strategies for Multi-Temporal Speckle Reduction of Sentinel-1 GRD Images. IGARSS Inès Meraoumia, Emanuele Dalsasso, Loïc Denis, Florence Tupin
2022	J	`jnl`	Fast strategies for multi-temporal speckle reduction of Sentinel-1 GRD images. CoRR Inès Meraoumia, Emanuele Dalsasso, Loïc Denis, Florence Tupin
2022	J	`jnl`	Multi-temporal speckle reduction with self-supervised deep neural networks. CoRR Inès Meraoumia, Emanuele Dalsasso, Loïc Denis, Rémy Abergel, Florence Tupin
2021	C	`conf`	A Review of Deep-Learning Techniques for SAR Image Restoration. IGARSS Loïc Denis, Emanuele Dalsasso, Florence Tupin
2021	J	`jnl`	As if by magic: self-supervised training of deep despeckling networks with MERLIN. CoRR Emanuele Dalsasso, Loïc Denis, Florence Tupin
2021	C	`conf`	Despeckling Sentinel-1 GRD Images by Deep-Learning and Application to Narrow River Segmentation. IGARSS Nicolas Gasnier, Emanuele Dalsasso, Loïc Denis, Florence Tupin
2021	J	`jnl`	Despeckling Sentinel-1 GRD images by deep learning and application to narrow river segmentation. CoRR Nicolas Gasnier, Emanuele Dalsasso, Loïc Denis, Florence Tupin
2021	C	`conf`	Exploiting Multi-Temporal Information for Improved Speckle Reduction of Sentinel-1 SAR Images by Deep Learning. IGARSS Emanuele Dalsasso, Inès Meraoumia, Loïc Denis, Florence Tupin
2021	J	`jnl`	Exploiting multi-temporal information for improved speckle reduction of Sentinel-1 SAR images by deep learning. CoRR Emanuele Dalsasso, Inès Meraoumia, Loïc Denis, Florence Tupin
2021	J	`jnl`	SAR2SAR: A Semi-Supervised Despeckling Algorithm for SAR Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Emanuele Dalsasso, Loïc Denis, Florence Tupin
2020	J	`jnl`	SAR Image Despeckling by Deep Neural Networks: from a Pre-Trained Model to an End-to-End Training Strategy. Remote. Sens. Emanuele Dalsasso, Xiangli Yang, Loïc Denis, Florence Tupin, Wen Yang
2020	J	`jnl`	SAR Image Despeckling by Deep Neural Networks: from a pre-trained model to an end-to-end training strategy. CoRR Emanuele Dalsasso, Xiangli Yang, Loïc Denis, Florence Tupin, Wen Yang
2020	J	`jnl`	SAR2SAR: a self-supervised despeckling algorithm for SAR images. CoRR Emanuele Dalsasso, Loïc Denis, Florence Tupin