Si Zuo — accepted AI-conference papers

2025

LiDARDustX: A LiDAR Dataset for Dusty Unstructured Road Environments

Chenfeng Wei, Qi Wu, Si Zuo, Jiahua Xu, Boyang Zhao, Zeyu Yang +2

ICRA 2025

Autonomous driving datasets are essential for validating the progress of intelligent vehicle algorithms, which include localization, perception, and prediction. However, existing datasets are predominantly focused on structured urban environments, which limits the exploration of unstructured and spe

Cited by 1 Source ↗code ↗Scholar ↗

2025

SADA-3D: Structure-Aware Unsupervised Domain Adaptation Segmentation of 3D Point Clouds

Shengjie Huang, Si Zuo, Qi Wu, Yougang Bian, Xiaohui Qin, Luoxing Li +1

RA-L 2025

Domain adaptive LiDAR point cloud segmentation aims to develop an effective target segmentation model using labeled source data and unlabeled target data. Existing domain adaptation methods for segmentation primarily focus on global feature alignment, often neglecting critical structural cues, espec

Cited by 0 Source ↗Scholar ↗