Xiangyuan Cai — accepted AI-conference papers

2026

Beyond Tie Points: Satellite Image Block Adjustment based on Dense Feature Consistency

Yi Liu, Yi Wan, Lei Yu, Panwang Xia, Qiong Wu, Yingying Pei +5

CVPR 2026

Owing to the weak stereo geometry of satellite images, Planar Block Adjustment (PBA) is a predominant technique for correcting geometric distortions in satellite images, which treats elevation as a known constraint and primarily optimizes planar coordinates. Existing PBA methods mainly rely on expli

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2026

SkySense-VITA: Towards Universal In-context Segmentation of Multi-modal Remote Sensing Imagery

Kang Wu, Lei Yu, Junwei Luo, Bo Dang, Junjian Zhang, Xiangyuan Cai +3

CVPR 2026

While recent foundation models for remote sensing segmentation have shown notable progress, they still fall short in processing diverse multi-modal inputs, synergizing complementary prompt types, and leveraging semantic hierarchies. To address these limitations, we introduce SkySense-VITA, a unified

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