Yuxing Xie

Papers

1

Total Citations

46

H-Index

1

About

Dr. Yuxing Xie has established a prominent research footprint at the intersection of 3D computer vision, remote sensing, and robotics, with a focused expertise in point cloud semantic segmentation (PCSS). Their most influential work, the 2019 review "A Review of Point Cloud Semantic Segmentation," has garnered 46 citations, serving as a critical reference that systematically maps the rapid evolution of deep learning techniques applied to 3D data. This comprehensive survey not only synthesized the state-of-the-art but also identified key challenges and future directions, helping to shape the research agenda for a growing community. Dr. Xie’s contributions are particularly notable for bridging the gap between emerging deep learning methodologies and practical applications in autonomous navigation, environmental monitoring, and urban modeling. By providing a structured taxonomy of approaches—from point-based to voxel-based and multi-view methods—their work has enabled researchers and practitioners to more effectively navigate this complex, fast-moving field. Through this foundational review, Dr. Xie has demonstrated a talent for distilling complex technical landscapes into accessible, actionable insights, making a lasting impact on how the research community approaches 3D scene understanding.

Research Focus

Key Achievements

1
H-Index
1
Papers
46
Total Citations
46
Avg Citations/Paper
🏆 Most Cited Paper
A Review of Point Cloud Semantic Segmentation
46 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 2

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago