Guiqiu Xiang
Papers
1
Total Citations
33
H-Index
1
About
Guiqiu Xiang is a leading researcher in 3D computer vision and scene understanding, with a primary focus on large-scale point cloud semantic segmentation. Their most influential work, the CSPC-Dataset, introduced a new LiDAR point cloud dataset and benchmark that has garnered 33 citations since 2020. This contribution addresses a critical gap in the field by providing high-quality, large-scale 3D structural data from LiDAR sensors, enabling more detailed geometric analysis of complex environments. Xiang’s research directly advances the semantic segmentation of point clouds—a foundational task for autonomous driving, robotics, and urban mapping. By establishing a standardized benchmark for evaluating segmentation algorithms, their work has become a key resource for researchers developing more accurate and robust scene interpretation models. Xiang’s contributions are particularly notable for bridging the gap between raw sensor data and actionable scene understanding, making them a pivotal figure in the evolution of 3D perception technologies.
Research Focus
Key Achievements
Top Papers
- 1