Qisheng Liu

University of Electronic Science and Technology of China

Papers

Total Citations

H-Index

About

Qisheng Liu is a researcher specializing in computer vision and robotics, with a particular focus on real-time visual object tracking for autonomous systems. His most-cited work, "High speed long-term visual object tracking algorithm for real robot systems" (2021), has garnered 24 citations, underscoring its significance in bridging the gap between algorithmic efficiency and practical robotic deployment. Liu’s major contribution lies in developing tracking algorithms that maintain high accuracy and speed over extended periods, addressing critical challenges in dynamic, real-world environments where robots must reliably follow objects despite occlusions, lighting changes, or motion blur. This work has implications for applications ranging from industrial automation to autonomous navigation. By prioritizing both computational efficiency and robustness, Liu’s research enables more responsive and adaptive robotic systems. His achievements highlight a commitment to translating theoretical advances into deployable solutions, making his work a valuable resource for students and engineers seeking to implement long-term visual tracking in resource-constrained robotic platforms.