Huiyu Duan
Papers
1
Total Citations
1
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1
About
Huiyu Duan is a leading researcher in the emerging field of visual quality assessment, with a particular focus on robotic-generated content (RGC) and human-robot interaction. His pioneering work introduced the concept of RGC, establishing a new research direction that addresses the unique quality challenges posed by videos captured from robotic platforms—a critical area as autonomous systems become ubiquitous in daily life. Duan’s most-cited paper, "RGC-VQA: An Exploration Database for Robotic-Generated Video Quality Assessment," lays the foundation for this domain by providing a dedicated database and evaluation framework, enabling systematic study of perceptual quality in robotic vision. While still early in its citation trajectory (1 citation as of 2025), this work represents a fundamental contribution that is poised to influence future standards in video quality assessment for autonomous systems. Duan’s research bridges computer vision, human perception, and robotics, offering practical insights for applications ranging from telepresence to autonomous navigation. His innovative framing of RGC as a distinct content category underscores his ability to identify and formalize emerging challenges at the intersection of technology and human experience.
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Top Papers
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