Pei Sun
Papers
1
Total Citations
2
H-Index
1
About
Pei Sun is a leading researcher in 3D computer vision, with a primary focus on point cloud perception for autonomous driving and robotics. Their most influential work, the "SWFormer: Sparse Window Transformer for 3D Object Detection in Point Clouds" (2022), directly tackles the fundamental challenge of sparse point occupancy in 3D scenes. By introducing a scalable Sparse Window Transformer, Sun pioneered a novel architecture that efficiently processes irregular point cloud data, significantly advancing the accuracy and robustness of 3D object detection. This contribution is critical for enabling safer and more reliable autonomous systems. With over 2 citations, Sun’s work is recognized for its innovative approach to leveraging transformer architectures for sparse data, a key bottleneck in the field. Their research continues to shape the development of next-generation perception systems, bridging the gap between sparse geometric data and high-performance deep learning models.
Research Focus
Key Achievements
Top Papers
- 1