Yangyang Ye
Papers
1
Total Citations
99
H-Index
1
About
Yangyang Ye is a leading researcher in computer vision and autonomous driving, with a primary focus on 3D object detection using LiDAR data. Their most notable contribution is the development of SARPNET (Shape Attention Regional Proposal Network), a groundbreaking framework introduced in 2019 that has garnered 99 citations. This work addresses a critical challenge in autonomous perception: accurately detecting objects in point cloud data by incorporating shape attention mechanisms into the regional proposal network. By enhancing the network's ability to focus on geometric features, SARPNET significantly improves detection precision for objects like vehicles and pedestrians in complex driving environments. Ye's research bridges deep learning and spatial reasoning, offering practical solutions for real-time perception systems. Their work has been widely adopted by both academic and industrial teams working on autonomous vehicle technology, demonstrating its impact on advancing safe and reliable navigation systems.
Research Focus
Key Achievements
Top Papers
- 1