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Author

Yu Zhang

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Conference Aug 2026

A unified geometry-aware framework for calibration-free cross-modal image-to-point cloud registration

UGA-Reg is proposed, a distribution-driven framework for efficient cross-modal registration operating across three levels that eliminates calibration dependency, maintains structural coherence across modalities, and achieves near real-time inference efficiency.

Yulin Hou, Yu Zhang · 0 citations
Conference Aug 2026

SemanticAdapter: parameter-efficient adaptation for label-efficient 3D point cloud semantic segmentation

SemanticAdapter is proposed, a parameter-efficient adaptation method that freezes the pretrained 3D encoder and introduces two lightweight components: a Cross-Modal Attention (CMA) module using point cloud features as queries and CLIP text embeddings as keys/values for explicit semantic alignment.

Yu Zhang, Yulin Hou · 0 citations

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