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Ziqian Mo

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Preprint Oct 2026

S$^3$Geo: Structure-Semantic Synergistic Learning for Cross-View Geo-Localization

Cross-view geo-localization (CVGL) aims to estimate geographic locations by matching images captured from different viewpoints, such as drone and satellite views. Existing methods mainly rely on visual representations, but often fail to jointly model fine-grained structural correspondences and semantic priors, making t...

Zi-Qian Mo, Hill Zhang, Hao-Sheng Tan et al. · 0 citations
2026

STAR: Spatio-Temporal Alignment and Refinement for Cross-View Geo-Localization

Cross-view geo-localization (CVGL) aims to match images captured from different viewpoints, such as drone and satellite imagery. Existing methods primarily focus on single-image matching, overlooking the potential of leveraging temporal information from drone image sequences. To address this, we propose Spatio-Temporal...

Ziqian Mo, Yu-Xi Sun, Sen Jia et al. · 0 citations

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