Shengfeng He

South China University of Technology, Singapore Management University

Papers

Total Citations

142

H-Index

About

Shengfeng He is a leading researcher in computer vision and robotics, with a focus on glass detection and autonomous navigation in dynamic environments. His most impactful work, "Don’t Hit Me! Glass Detection in Real-World Scenes" (2020, 131 citations), addresses a critical blind spot in vision systems—transparent surfaces like glass walls and doors that often cause robots or autonomous vehicles to fail. By developing a method to sense glass despite its transparency and variable backgrounds, He’s contribution directly enhances safety in real-world applications, from household robots to self-driving cars. He also advances autonomous exploration with "Efficient Exploration in Crowds" (2022), tackling the challenge of navigating crowded spaces like malls and airports by coupling navigation control with exploration planning. His recent work on multi-view generation (2023) further demonstrates his versatility, aiming to create invariant and uniformly distributed feature spaces for improved 3D scene understanding. With a career marked by high-impact solutions to practical problems, He’s research bridges the gap between theoretical computer vision and safe, robust robotic deployment in human-centric environments.