Ting-Bing Xu
Papers
1
Total Citations
19
H-Index
1
About
Dr. Ting-Bing Xu is a leading researcher in computer vision and robotics, specializing in 6D pose estimation, 3D object detection, and deep learning architectures for spatial reasoning. His most influential work, the NVR-Net (Normal Vector Guided Regression Network), introduced a groundbreaking approach to disentangled 6D pose estimation from monocular images. By decoupling rotation and translation estimation—unlike traditional two-stage methods that rely on Perspective-n-Point (PnP) and suffer from accuracy degeneration—Xu’s framework leverages normal vector guidance to achieve superior precision in object pose recovery. This innovation addresses a critical challenge in applications like augmented reality and robotic manipulation, where accurate 6D poses are essential. With 19 citations since its 2023 publication, NVR-Net has quickly gained recognition for its elegant solution to a long-standing problem. Xu’s work bridges the gap between theoretical geometry and practical deployment, offering a robust alternative to conventional pipelines. His contributions continue to inspire advances in vision-based robotics, making him a rising figure in the field.
Research Focus
Key Achievements
Top Papers
- 1