Hyun Jong Yang

Ulsan National Institute of Science and Technology

Papers

Total Citations

224

H-Index

About

Hyun Jong Yang is a computer vision and robotics researcher whose work centers on the intersection of privacy protection and intelligent visual recognition systems. His most influential contributions address a fundamental tension in modern AI-powered surveillance and assistive robotics: the need for machines to understand human behavior while simultaneously safeguarding individual privacy. Yang's landmark research on privacy-preserving human activity recognition, which has accumulated over 200 citations across its iterations, pioneered the use of extreme low-resolution imaging as a principled method for anonymizing video data without sacrificing a system's ability to interpret actions. This elegant approach demonstrated that meaningful activity recognition remains achievable even when visual detail is intentionally degraded to protect identities — a significant technical and ethical advance for the field. Building on this foundation, Yang extended his framework to robotic platforms and drone-based patrol systems, developing face anonymization techniques that allow UAVs and smart cameras to operate responsibly in public spaces. His research is particularly relevant as autonomous robots and security systems become increasingly deployed in everyday environments. For students and researchers working at the crossroads of computer vision, human-robot interaction, and AI ethics, Yang's body of work offers both practical methodologies and an important model for designing privacy-conscious intelligent systems.