Xiangyuan Wang — accepted AI-conference papers

2024

FE-DeTr: Keypoint Detection and Tracking in Low-quality Image Frames with Events

Xiangyuan Wang, Kuangyi Chen, Wen Yang, Lei Yu, Yannan Xing, Huai Yu

ICRA 2024poster

Keypoint detection and tracking in traditional image frames are often compromised by image quality issues such as motion blur and extreme lighting conditions. Event cameras offer potential solutions to these challenges by virtue of their high temporal resolution and high dynamic range. However, they…

Cited by 4 Source ↗code ↗Scholar ↗

2024

Toward Robust Keypoint Detection and Tracking: A Fusion Approach With Event-Aligned Image Features

Xiangyuan Wang, Huai Yu, Lei Yu, Wen Yang, Gui-Song Xia

RA-L 2024

Robust keypoint detection and tracking are crucial for various robotic tasks. However, conventional cameras struggle under rapid motion and lighting changes, hindering local and edge feature extraction essential for keypoint detection and tracking. Event cameras offer advantages in such scenarios du

Cited by 12 Source ↗Scholar ↗