You-wei Xu
Papers
1
Total Citations
5
H-Index
1
About
You-wei Xu is a researcher whose work lies at the intersection of computer vision and mobile robotics, with a particular focus on visual place recognition. His most notable contribution, "Salient Feature Selection for CNN-Based Visual Place Recognition" (2018), addresses a critical challenge in deploying convolutional neural networks for real-time robotic navigation. By developing methods to compress CNN-based image representations without sacrificing accuracy, Xu helps bridge the gap between deep learning's powerful recognition capabilities and the computational constraints of autonomous systems. This work has garnered 5 citations, establishing a foundation for more efficient visual localization in large-scale, dynamic environments. Xu's research is especially relevant for students and engineers working on mobile robot autonomy, where the trade-off between model performance and real-time processing remains a key bottleneck. His approach to salient feature selection offers a practical pathway for integrating state-of-the-art deep learning into resource-limited robotic platforms, contributing to the broader goal of creating more responsive and reliable autonomous navigation systems.
Research Focus
Key Achievements
Top Papers
- 1Salient Feature Selection for CNN-Based Visual Place Recognition5 citations · 2018