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Author

Jian Zhu

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Sep 2026

Source-Free Domain Adaptation for LiDAR Point Cloud Semantic Segmentation via Spatially Aware Prototype Learning

Source-Free Domain Adaptation (SFDA) offers a practical solution for deploying LiDAR point cloud segmentation models in new environments where source data cannot be accessed due to privacy constraints and storage limitations. Existing SFDA methods, however, are primarily designed for images and fail to account for the...

Jian Zhu, Yu-Feng Lin, Boyu Wang et al. · 0 citations
Aug 2026

EP-MAE: A resource-efficient masked autoencoding framework for 3D neural representation learning.

Efficient Point Masked Autoencoders (EP-MAE), a new framework designed to significantly reduce the training cost of 3D self-supervised pre-training while maintaining strong representation quality, and provides a scalable and effective foundation for future 3D neural network models is presented.

Jian Zhu, Jiale Zhao, Cheng Lin et al. · 0 citations

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