1 citations · 1 across the 3 of their papers we have counts for
5 papers
Enhancing Photogrammetric Digital Surface Models with Pretrained Diffusion Models and Multimodal Conditioning
Antoine Lorentz, Stéphane May, Valentine Bellet +2
Large-scale Digital Surface Models (DSMs) can be produced cost-effectively from satellite images via stereo-photogrammetry. However, the resulting 3D maps are often contaminated by…
Densification and forecasting of Sentinel-2 time series from multimodal SAR and Optical satellite data using deep generative models
Véronique Defonte, Dawa Derksen, Alexandre Constantin +1
Optical satellite image time series are extensively used in many Earth observation applications, including agriculture, climate monitoring, and land surface analysis. However, clou…
Can multimodal representation learning by alignment preserve modality-specific information?
Romain Thoreau, Jessie Levillain, Dawa Derksen
Combining multimodal data is a key issue in a wide range of machine learning tasks, including many remote sensing problems. In Earth observation, early multimodal data fusion metho…
Joint attitude estimation and 3D neural reconstruction of non-cooperative space objects
Clément Forray, Pauline Delporte, Nicolas Delaygue +2
Obtaining a better knowledge of the current state and behavior of objects orbiting Earth has proven to be essential for a range of applications such as active debris removal, in-or…
Parameter-Efficient Adaptation of Geospatial Foundation Models through Embedding Deflection
Romain Thoreau, Valerio Marsocci, Dawa Derksen
As large-scale heterogeneous data sets become increasingly available, adapting foundation models at low cost has become a key issue. Seminal works in natural language processing, e…