Jiayi Tian

Papers

Total Citations

H-Index

About

Jiayi Tian is a researcher in computer vision and human-machine interaction, with a primary focus on efficient hand pose estimation. Their most cited work, “Dual Regression for Efficient Hand Pose Estimation” (2022, 9 citations), addresses a critical challenge in the field: achieving both high precision and low computational complexity for real-time applications. Tian’s key contribution lies in pioneering a dual regression framework that balances accuracy with speed, enabling reliable hand tracking for interactive systems such as virtual reality and gesture control. This work stands out for its practical impact, offering a solution that reduces model complexity without sacrificing performance—a vital step toward deploying hand pose estimators on resource-constrained devices. While their citation count is still growing, the research has already garnered attention for addressing a core bottleneck in human-machine interaction. Tian’s achievements highlight a commitment to bridging the gap between theoretical advances and real-world usability, making their work a valuable reference for students and engineers developing efficient, real-time vision systems.