2 papers
cs.CV2026
Anaximander: Interactively Running Geospatial Deep Learning Models on Any Compute Backend
Satej S. Soman, Akram Zaytar, Girmaw A. Tadesse +5
Applying deep learning models to satellite imagery from within geographic information systems (GIS) remains high-friction for remote sensing practitioners. Models arrive in incompa…
cs.CV2024
Sims: An Interactive Tool for Geospatial Matching and Clustering
Akram Zaytar, Girmaw Abebe Tadesse, Caleb Robinson +6
Acquiring, processing, and visualizing geospatial data requires significant computing resources, especially for large spatio-temporal domains. This challenge hinders the rapid disc…