Xianyi Yang

Guilin University of Electronic Technology

Papers

Total Citations

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About

Xianyi Yang is a computer vision researcher whose work centers on real-time 3D reconstruction, with a particular focus on monocular vision systems. His most-cited paper, "Real-Time 3D Reconstruction Method Based on Monocular Vision" (2021, 12 citations), addresses critical challenges in the field, including the trade-offs between reconstruction speed, accuracy, and robustness in dynamic environments. Yang’s contributions are significant for advancing core technologies in virtual reality, industrial automation, and mobile robot path planning, where real-time spatial understanding is essential. By tackling the limitations of single-camera setups, his research offers practical solutions for lightweight, cost-effective 3D sensing. While his citation count is still growing, Yang’s work is recognized for its potential to bridge the gap between theoretical computer vision algorithms and real-world applications, particularly in autonomous systems. His focus on real-time performance and monocular efficiency positions him as an emerging voice in the field, with implications for next-generation AR/VR and robotics platforms.