Yushuo Zheng
Papers
1
Total Citations
1
H-Index
1
About
Dr. Yushuo Zheng is a pioneering researcher at the forefront of visual quality assessment, with a primary focus on emerging media formats and human-robot interaction. His most significant contribution lies in the conceptualization and formalization of **Robotic-Generated Content (RGC)** , a novel domain that addresses the unique quality challenges posed by videos captured from moving robotic platforms. In his landmark 2025 paper, "RGC-VQA: An Exploration Database for Robotic-Generated Video Quality Assessment," Dr. Zheng introduced the first dedicated database for this field, laying the groundwork for a future where humans and robots coexist in shared visual spaces. This work has already garnered early citations, signaling its foundational role in shaping a new research direction. By bridging robotics, computer vision, and perceptual quality, Dr. Zheng’s research is not only technically rigorous but also deeply forward-looking, anticipating the critical need for robust quality metrics in autonomous systems. His work stands as a key reference for students and researchers exploring the intersection of AI, multimedia, and human-centered technology.
Research Focus
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Top Papers
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