Guangbin Dou — accepted AI-conference papers

2026

Dual-Agent Reinforcement Learning for Adaptive and Cost-Aware Visual-Inertial Odometry

Feiyang Pan, Shenghe Zheng, Chunyan Yin, Guangbin Dou

CVPR 2026

Visual-Inertial Odometry (VIO) is a critical component for robust ego-motion estimation, enabling foundational capabilities such as autonomous navigation in robotics and real-time 6-DoF tracking for augmented reality.Existing methods face a well-known trade-off: filter-based approaches are efficient

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2025

MoE-Gyro: Self-Supervised Over-Range Reconstruction and Denoising for MEMS Gyroscopes

Feiyang Pan, Shenghe Zheng, Chunyan Yin, Guangbin Dou

NeurIPS 2025poster

MEMS gyroscopes play a critical role in inertial navigation and motion control applications but typically suffer from a fundamental trade-off between measurement range and noise performance. Existing hardware-based solutions aimed at mitigating this issue introduce additional complexity, cost, and s…

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