3 papers
cs.CV2026
deSEO: Physics-Aware Dataset Creation for High-Resolution Satellite Image Shadow Removal
Lorenzo Beltrame, Jules Salzinger, Filip Svoboda +4
Shadows cast by terrain and tall structures remain a major obstacle for high-resolution satellite image analysis, degrading classification, detection, and 3D reconstruction perform…
cs.CV2026
Winner of CVPR2026 NTIRE Challenge on Image Shadow Removal: Semantic and Geometric Guidance for Shadow Removal via Cascaded Refinement
Lorenzo Beltrame, Jules Salzinger, Filip Svoboda +4
We present a three-stage progressive shadow-removal pipeline for the CVPR2026 NTIRE WSRD+ challenge. Built on OmniSR, our method treats deshadowing as iterative direct refinement,…
cs.LG2025
Bringing Federated Learning to Space
Grace Kim, Filip Svoboda, Nicholas Lane
As Low Earth Orbit (LEO) satellite constellations rapidly expand to hundreds and thousands of spacecraft, the need for distributed on-board machine learning becomes critical to add…