Jiangyong Ying
Papers
1
Total Citations
1
H-Index
1
About
Dr. Jiangyong Ying is a pioneering researcher in the emerging field of Robotic-Generated Content (RGC), with a primary focus on video quality assessment for autonomous systems. His most notable contribution is the introduction of the RGC-VQA database, a groundbreaking resource designed to evaluate the perceptual quality of videos captured by robotic platforms. This work, published in 2025, has already garnered early citations, signaling its foundational role in a nascent research area. By addressing the unique distortions and motion artifacts inherent in robotic vision—such as jitter, rolling shutter effects, and dynamic exposure changes—Dr. Ying’s research bridges the gap between computer vision, robotics, and human perception. His innovative conceptualization of RGC as a distinct content category paves the way for future standards in video quality metrics tailored to human-robot coexistence. As robotic cameras become ubiquitous in applications from surveillance to autonomous navigation, Dr. Ying’s work provides essential tools for ensuring visually acceptable outputs. His contributions are particularly valuable for students and researchers exploring the intersection of multimedia quality assessment and embodied AI, offering a systematic framework to tackle the challenges of evaluating non-human cinematography.
Research Focus
Key Achievements
Top Papers
- 1