معرفی
Qiqi Shu is a researcher at the School of Electronic Engineering and Computer Science, Queen Mary University of London. His work focuses on cutting-edge technologies in computer vision, geospatial data analysis, and human-computer interaction. He has contributed to advancements in augmented reality localization, indoor positioning systems, and LiDAR data classification.
- Current Role: Researcher
- Institution: Queen Mary University of London
His research emphasizes improving accuracy in real-time pose estimation and developing novel machine learning approaches for sensor data fusion. Recent projects explore temporal dynamics in heading prediction and multi-modal attention mechanisms for camera positioning.
Publications highlight trends in applying deep learning to geospatial challenges, optimizing AR systems, and enhancing indoor navigation technologies. His work bridges theoretical innovation with practical applications in computer science and engineering.
