All abstracts will be presented in a poster session (A0 format, portrait orientation).
Poster Session 1 – Thursday 14:30 – 16:30
| Abstract Title | Authors |
|---|---|
| Leveraging Deep Learning for Super-Resolution of GOME-2 Atmospheric Data Using TROPOMI Observations | Ratta, Riccardo*; Mantovani, Simone; Houël, Maximilien; Cominetti, Aldo; Fierli, Federico; Schifano, Fabio |
| From Cradle to EO: Child-Inspired Generic Tasks for Foundations Models | Kaabachi, Imen; Bouchnak, Mohamed Amine; Petit, David* |
| Worldwide High-Fidelity Road Extraction from Aerial and Satellite Imagery Enabled by Low-Fidelity OpenStreetMap Labels | Henry, Corentin*; Fraundorfer, Friedrich |
| EoS-FM: Can an Ensemble of Specialist Models act as a Generalist Feature Extractor ? | Adorni, Pierre*; Pham, Minh-Tan; May, Stéphane; Lefèvre, Sébastien |
| TorchGeo 1.0: Satellite Image Time Series, and Beyond! | Stewart, Adam*; Lehmann, Nils; Zhu, Xiao Xiang |
| Iterative construction of a very high resolution remote sensing dataset by leveraging the uncertainty of land use and land cover models | Rochel, Axel*; Savatier-Dupré, Hélène; Dechesne, Clément; Thenoz, Chloé; Brunet, Pierre-Marie |
| Multimodal multiscale fusion with graph neural networks for flood forecasting | Dufourg, Corentin; Ebel, Patrick; Pelletier, Charlotte*; May, Stéphane ; Lefèvre, Sébastien |
| Leveraging Farm-Level Yield Data and Sentinel-2 Imagery for Enhanced Agricultural Prediction using LSTM Networks in France | Bakker, Elise*; Sabo, Filip; Todoroff, Pierre; Claverie, Martin |
| Using UAV and deep learning to reduce a priori in distribution modeling of poorly known insects | de la Brosse, Augustin*; Corpetti, Thomas; Houet, Thomas |
| Explaining raw data complexity to improve satellite onboard processing | Dorise, Adrien*; Bellizzi, Marjorie; Girard, Adrien; May, Stéphane |
| Species-aware tree segmentation using LiDAR data | Luminari, Nicola*; Velumani, Kaaviya; Rousset, Eliott |
| Enhancing urban 3D passives reconstruction tree point clouds with deep learning | Bricout, Lola*; Houngan, Patricia Murielle; Padonou, Alexandra; El Moualy, Sabine; Hubert-Moy, Laurence; Corpetti, Thomas; Nabucet, Jean |
| Pretraining for Dense Prediction Tasks in Earth Observation | Wolf, Filip*; Rolih, Blaž; Čehovin Zajc, Luka |
| Uncertainty-aware semi-supervised learning for regression problems | Wang, Yuanyuan*; Zhu, Xiaoxiang |
| Towards SAR-Based Estimation of Optical Vegetation Indices for Enhanced Crop Monitoring | Lavie, Benjamin; Sobetsky, Nathan*; Thenoz, Chloe; Rivas, Henry; Sfaksi, Nafissa; Marche, Marie-Odile; RodriguezSuquet, Raquel |
| Earth observation for environmental pest monitoring: A.I. and stochastic modeling for desert locust prediction | Houël, Maximilien*; Grassi, Alessandro; Bellotto, Kimani; Azami, Wassim |
| 3D Modeling from LiDAR data for radar simulation | Queffelec, Pierre-Loïc*; Trouvé, Nicolas; Roussel, Stéphane; Vallet, Bruno |
| Multi-modal remote sensing segmentation of paleo-landslides with deep learning and self-supervision | François, Faure*; Giffard-Roisin, Sophie; Zerathe, Swann |
| Learning Sentinel-2 Multi-Date Super-Resolution by Self-Supervision | Nogueira Cotrim, Anderson; Anger, Jérémy*; Facciolo, Gabriele |
| The Change You Want To Detect: Semantic Change Detection In Earth Observation With Hybrid Data Generation | Benidir, Yanis*; Gonthier, Nicolas; Mallet, Clément |
| Improving MAJA’s cloud detection over water surfaces with Deep Learning | Savatier-Dupré, Hélène*; Denisselle, Matthieu ; Thenoz, Chloé; Dechesne, Clément; Mangold, Emilie; Maxant, Jérome; Peña Luque, Santiago; Hagolle, Olivier; Coustance, Sophie |
| Deep learning detection of livestock infrastructure from very high resolution optical remote sensing images in French Brittany using knowledge distillation | Matelot, Pierrick*; Lissak, Candide; Corpetti, Thomas |
| Deep learning detection of livestock infrastructure from very high resolution optical remote sensing images in French Brittany using knowledge distillation | Cohen, Julia*; Derksen, Dawa; Girard, Adrien |
| s2p-hd: Gpu-Accelerated Binocular Stereo Pipeline for Large-Scale Same-Date Stereo | Amadei, Tristan*; Meinhardt-Llops, Enric; de Franchis, Carlo; Anger, Jérémy; Ehret, Thibaud; Facciolo, Gabriele |
| A Kilometric-Scale, 60-Year Coupled Ocean-Atmosphere OSSE Dataset from nextGEMS for Advancing AI in Tropical Cyclone Analysis | Febvre, Quentin*; Colson, Pierre-Yves; Mouche, Alexis; Vient, Jean-Marie; Couvelard, Xavier; Avenas, Arthur; Chapron, Bertrand |
| Counting people with AI and VHR satellite images: science fiction or reality? | Masse, Antoine*; Vo Quang, An; Burgin, Ana |
| Improved Marine Oil Spill Segmentation using Signed Distance Function Loss | Joakimsen, Harald*; Wickstrøm, Kristoffer; Jenssen, Robert; Lefèvre, Sébastien; Kampffmeyer, Michael; Salberg, Arnt-Børre; Uebbing, Lars |
Poster Session 2 – Friday 10:00 – 12:00
| Abstract Title | Authors |
|---|---|
| Multimodal Text-to-SAR Synthesis: Adapting Generative Foundation Diffusion Models to the Physics of Radar Imagery | Debuysère, Solène*; Trouve, Nicolas; Colin, Elise; Letheule, Nathan |
| Riemannian Flow Matching for SAR Interferometry | Le Bellier, Georges*; El Hajjar, Dana; Breloy, Arnaud; Audebert, Nicolas |
| Graph Neural Operators for Dimensionality Reduction of Continuous Climate Data | Uebbing, Lars*; Joakimsen, Harald Lykke; Wickstrøm, Kristoffer; Kampffmeyer, Michael; Lefevre, Sebastien.; Salberg, Arnt-Børre; Jenssen, Robert |
| Simulation-based training of neural mapping of satellite altimetry on global scale | Zhu, Daniel*; Fablet, Ronan; Le Sommer, Julien; Rousseau, François |
| TorchGeo Governance: From Python Library to Legal Entity | Stewart, Adam*; Lehmann, Nils; Zhu, Xiao Xiang |
| Exploring Self-Supervised Representation Learning for Individual-Tree Point Clouds: Towards domain adapted pretext tasks in forestry | Hansen, David*; Puliti, Stefano; Wielgosz, Maciej; Xiang, Binbin; Astrup, Rasmus; Lefèvre, Sébastien; Tiede, Dirk |
| Deep Learning Fusion of Thermal-Infrared Earth Observation Data for High-Resolution Land Surface Temperature Monitoring | Olive, Thomas*; Ahmad, Ali; Chesneau, Mathieu |
| Smart Land Conversion: Satellite-Based Crop Productivity Analysis for Sustainable Planning | Vesterdal, Maria*; Gislum, René; Dalgaard, Tommy |
| XAI-Driven Reliability in Deep Learning-Based Downscaling Model for 3D High-Resolution GNSS Troposphere Tomography | Haji-Aghajany, Saeid*; Rohm, Witold |
| Cropland Segmentation from Multi-Source Remote Sensing Data via Mamba-Based Adaptive Fusion | Chang, Minghui*; Letard, Mathilde; Wang, Jiapan; Anders, Katharina |
| Small object detection in remote sensing: usampling and distillation are all you need | Belmouhcine, Abdelbadie*; Pham, Minh-Tan; Hadjisoteriou, Andreas; Dimitriou, Neofytos |
| Handling spatiotemporal sampling irregularities in 4D point clouds with implicit neural representations | Letard, Mathilde*; Naylor, Peter; Anders, Katharina |
| Atomizer: Generalizing to new modalities by breaking satellite images down to a set of scalars | Riffaud de Turckheim, Hugo*; Lobry, Sylvain; Interdonato, Roberto; Marcos, Diego |
| MaRSID: A Global Multi-Resolution Ship Instance Dataset for Super-Resolution and Detection | Hadjisoteriou, Andreas*; Dimitriou, Neofytos; Hadjipieris, Andreas; Pham, Minh-Tan; Belmouhcine, Abdelbadie |
| Parameter-Efficient Adaptation of Geospatial Foundation Models through Embedding Deflection | Thoreau, Romain; Marsocci, Valerio*; Derksen, Dawa |
| Inventory and monitoring of road infrastructure using Sentinel-2 and Artificial Intelligence | Masse, Antoine*; Vo Quang, An; Burgin, Ana |
| Any Sentinel-2 band super-resolution via spatial-spectral decomposition | Okabayashi, Aimi*; Pelletier, Charlotte; Audebert, Nicolas; Corpetti, Thomas; Courty, Nicolas |
| Hierarchical multi-label classification for mapping intra-annual integrated crop-livestock systems in Mato Grosso using deep learning and MODIS time series | Nabec, Judith*; Pelletier, Charlotte; Calvano Kuchler, Patrick; Simoes, Margareth; Bégué, Agnès; Ferraz, Rodrigo; Arvor, Damien |
| Eastern France Land Cover Dataset from Satellite Time Series | Thiebaut, Victor*; Ismail-Fawaz, Ali; Devanne, Maxime; Meyer, Cyril; Weber, Jonathan; Forestier, Germain |
| FM4CS: A Versatile Foundation Model for Earth Observation Climate And Society Applications | Forgaard, Theodor; Reksten, Jarle; Waldeland, Anders; Kampffmeyer, Michael; Salberg, Arnt* |
| Optimal AI Strategies for Leveraging High-Resolution Satellite Hydrological Datasets in River Discharge Prediction | Mosaffa, Hamidreza*; Prudhomme , Christel ; Chantry, Matthew ; Rüdiger , Christoph ; Pappenberger, Florian ; Cloke, Hannah |
| Ocean Current Prediction for Enhanced Oil Spill Response: A Conditional Diffusion Model Approach | Vitay, Julien*; Guillot, Jules; Mironov, Alexey; Guichoux, Yann; Jan, Gwenaële |
| SSL4Eco: A Global Seasonal Dataset for Geospatial Foundation Models in Ecology | Robert, Damien*; Plekhanova, Elena; Dollinger, Johannes; Arens, Emilia; Brun, Philipp; Wegner, Jan Dirk; Zimmermann, Niklaus |
| Semantic Segmentation of Super Resoluted Sentinel-2 Images for Urban and Agricultural Surface Mapping in Soil Erosion Studies | Fazzini, Noemi*; Magazzino, Sara; Ricciardelli, Andrea; Folegani, Marco; Houël, Maximilien |
| Structure Tensor Representation for Robust Oriented Object Detection | Bou Hernandez, Xavier*; Facciolo, Gabriele; Grompone von Gioi, Rafael; Morel, Jean-Michel; Ehret, Thibaud |
| Part-based Object Detection for Large Scale Geostatistical Methane Emissions Estimation | de Senneville, Adhémar*; Bou Hernandez, Xavier; Ehret, Thibaud; Bonne, Jean-Louis; Dumelie, Nicolas; Lauvaux, Thomas; Facciolo, Gabriele |
| ChatEarthNet: A Global-Scale Image-Text Dataset Empowering Vision-Language Geo-Foundation Models | Yuan, Zhenghang*; Xiong, Zhitong; Mou, Lichao; Zhu, Xiaoxiang |