Xiaoqing Yin

National University of Defense Technology, Nanjing University of Posts and Telecommunications

Papers

Total Citations

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About

Xiaoqing Yin is a researcher at the forefront of computer vision and intelligent systems, with a primary focus on image deblurring, object detection, and automated environmental monitoring. Their major contributions include pioneering a joint generative image deblurring framework that integrates edge attention priors with dynamic kernel selection, effectively addressing the challenge of mixed blur types in real-world scenarios such as aviation photo restoration and autonomous vehicle navigation. Additionally, Yin developed a road garbage cleaning device leveraging ZigBee gateway technology and image recognition, significantly improving cleaning efficiency and waste identification accuracy. Their work on rotated object detectors in aerial images, incorporating attention mechanisms into YOLOv4, has advanced the field of remote sensing. With key papers accumulating citations in the single digits, Yin's research demonstrates early but promising impact, particularly in industrial applications. Their achievements highlight a commitment to bridging theoretical advances with practical solutions for robotics, autonomous systems, and smart city infrastructure, making them a notable contributor to applied computer vision and intelligent automation.