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cs.CV2026
MEOX: Compact Multimodal Mixture-of-Experts for Earth Observation
Mohanad Albughdadi
Recent advances in Earth Observation representation learning accommodate heterogeneous sensors and missing observations, often through larger architectures. We present MEOX (Multim…
cs.CV2026
From Surface Forecasting to Observability Forecasting: A Latent World Model for Cloud-Aware EO Monitoring
Mohanad Albughdadi
The bottleneck of Earth Observation processing chains is not the arrival of new imagery but whether the surface is actually visible when the image arrives. We study this as an obse…
cs.CV2025
Lightweight Metadata-Aware Mixture-of-Experts Masked Autoencoder for Earth Observation
Mohanad Albughdadi
Recent advances in Earth Observation have focused on large-scale foundation models. However, these models are computationally expensive, limiting their accessibility and reuse for…