Shilang Chen — accepted AI-conference papers

2026

Game-KFS: Game-Theory-Inspired Keyframe Selection for Hybrid Representation Visual SLAM

Shilang Chen, Bo Yang, Chaoqun Wang, Peidong Fang, Haifei Zhu, Weinan Chen +1

ICRA 2026poster

Hybrid representation Visual Simultaneous Localization and Mapping (VSLAM) systems combine the inherent strengths of both discrete and field representations. They promise high-precision tracking and photo-realistic dense mapping. However, current keyframe selection methods in hybrid representation V…

Cited by 0 Source ↗Scholar ↗

2025

Reducing Redundancy in VSLAM: VLMs-driven Keyframe Selection using Multi-dimensional Semantic Information

Xiang Huo, Shilang Chen, Lei Zhu, Haifei Zhu, Yisheng Guan, Hong Zhang +1

IROS 2025

Keyframe selection plays a crucial role in balancing computational efficiency and localization accuracy in Visual Simultaneous Localization and Mapping (VSLAM) systems. Existing keyframe selection methods often struggle to capture high-level semantic information in environments where multiple semant

Cited by 2 Source ↗Scholar ↗