Xiaorui Mo
Papers
1
Total Citations
2
H-Index
1
About
Xiaorui Mo is a rising researcher in energy-efficient embedded systems and computer vision hardware, with a particular focus on accelerating visual odometry (VO) for mobile and augmented reality (AR) applications. Their most notable contribution is the development of a groundbreaking single-frame bundle adjustment (BA) hardware accelerator, which achieves an ultra-low energy consumption of just 197 μJ per frame—a critical advancement for power-constrained mobile devices. This work, published in 2025, addresses the computational bottleneck of BA, a graph optimization technique essential for accurate pose and landmark estimation in real-time VO. By enabling high-frame-rate visual processing on battery-powered platforms, Mo’s design directly impacts fields such as robot navigation, virtual reality (VR), and AR. While still early in their career, with their flagship paper already garnering citations, Mo’s innovation represents a significant step toward making sophisticated computer vision algorithms practical for always-on, mobile systems. Their research bridges the gap between algorithmic complexity and hardware efficiency, promising to unlock new capabilities in next-generation autonomous and immersive technologies.
Research Focus
Key Achievements
Top Papers
- 1