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Author

Ali Lesani

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Preprint Aug 2026

Saliency-Depth Conditioning for Zero-Shot Segmentation of Communication-Tower Components in Cluttered UAV Imagery

A model-agnostic saliency-depth foreground-conditioning strategy combining appearance-based saliency with monocular relative depth to construct a coarse tower prior and suppress irrelevant content is proposed, improving robustness in cluttered scenes.

Ali Lesani, C. Yeum, Su-Min Kang · 0 citations
Review Open access Jul 2026

Graph-Attention Network for Spatially-Aware Post-Hurricane Building Damage Assessment from UAV Imagery

A novel approach that leverages Graph Attention Networks (GATs) to explicitly model spatial dependencies when evaluating building damage achieves superior performance in building damage classification compared to state-of-the-art CNN-based approaches, producing more coherent and accurate damage maps better suited to re...

Fuad Hasan, C. Yeum, Ali Lesani et al. · 1 citation

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