Zhongchen Shi — accepted AI-conference papers

2026

MHED-SLAM: Multi-Scale Hybrid Encoding-Based Decoupled SLAM

Dengfang Feng, Wenyang Qin, Zhongchen Shi, Wei Chen, Yanhui Duan, Liang Xie +1

AAAI 2026technical

Neural Radiance Fields (NeRF)-based Visual Simultaneous Localization and Mapping (SLAM) achieve superior scene geometric modeling and robust camera tracking by leveraging neural representations. Existing methods typically relied on multi-resolution hash encoding with truncated signed distance field

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2025

M2EIT: Multi-Domain Mixture of Experts for Robust Neural Inertial Tracking

Yan Li, Yang Xu, Changhao Chen, Zhongchen Shi, Wei Chen, Liang Xie +2

ICCV 2025poster

Inertial tracking (IT), independent of the environment and external infrastructure, has long been the ideal solution for providing location services to humans. Despite significant strides in inertial tracking empowered by deep learning, prevailing neural inertial tracking predominantly utilizes conv…

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