Xuanfu Li — accepted AI-conference papers

2026

SLARM: Streaming and Language-Aligned Reconstruction Model for Dynamic Scenes

Zhicheng Qiu, Jiarui Meng, Tong-an Luo, Yican Huang, Xuan Feng, Xuanfu Li +1

CVPR 2026

We propose SLARM, a feed-forward model that unifies dynamic scene reconstruction, semantic understanding, and real-time streaming inference. SLARM captures complex, non-uniform motion through higher-order motion modeling, trained solely on differentiable renderings without any flow supervision. Besi

Cited by 0 Source ↗code ↗Scholar ↗

2022

RGB-D Inertial Odometry for a Resource-Restricted Robot in Dynamic Environments

Jianheng Liu, Xuanfu Li, Yueqian Liu, Haoyao Chen

RA-L 2022

Current simultaneous localization and mapping (SLAM) algorithms perform well in static environments but easily fail in dynamic environments. Recent works introduce deep learning-based semantic information to SLAM systems to reduce the influence of dynamic objects. However, it is still challenging to

Cited by 86 Source ↗code ↗Scholar ↗