May Hammad

Star-Fusion: A Multi-modal Transformer Architecture for Discrete Celestial Orientation via Spherical Topology

This paper presents Star-Fusion, a multi-modal architecture that reformulates orientation estimation as a discrete topological classification task, and leverages spherical K-Means clustering to partition the celestial sphere into K topologically consistent regions, effectively mitigating coordinate wrapping artifacts.