1 citations · 1 across the 1 of their papers we have counts for
4 papers
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…
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…
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…