Yun-Min Huang

Papers

Total Citations

H-Index

About

Yun-Min Huang is a researcher specializing in computer vision and robotics, with a particular focus on deep learning applications for security and autonomous systems. His most-cited work, "Deep Learning based Face Recognition for Security Robot" (2022, 4 citations), addresses critical challenges in deploying face recognition on indoor security robots, tackling issues like perceptual aliasing, occlusion, illumination changes, and viewpoint variations that degrade recognition accuracy in real-world environments. This contribution highlights his expertise in bridging the gap between theoretical deep learning models and practical robotic systems, enhancing the reliability of autonomous security platforms. Huang’s research is pivotal for advancing robust, environment-resilient AI, with implications for smart surveillance and human-robot interaction. Though early in his career, his work demonstrates a clear impact on improving robotic perception under uncertainty, laying groundwork for more adaptive and trustworthy autonomous technologies.