Xiaopei Wu Source Confirmed

OverviewAI-generated summary

Xiaopei Wu's research focuses on advancements in 3D object detection and related computer vision tasks, particularly utilizing deep learning techniques. Wu has published work on methods for improving the accuracy and quality of 3D detection, including approaches that incorporate depth completion and semantic information from graphs. Recent publications explore novel architectures like Graph R-CNN and sparse fuse dense networks for enhanced 3D perception. Additionally, Wu's work extends to monocular 3D object detection, investigating methods to decouple instance depth for better performance. Further research areas include temporal aggregation networks for LiDAR semantic segmentation and the stereoselective synthesis of complex carbohydrate structures, including their immunological evaluation.

Metrics

• h-index: 14
• Publications: 32
• Citations: 1,033