Yeqiang Qiu
Papers
2
Total Citations
14
H-Index
2
About
Dr. Yeqiang Qiu is a researcher whose work lies at the intersection of computer vision, 3D object segmentation, and environmental technology. His primary research focuses on developing advanced computational methods for the automated analysis and classification of solid waste, a critical area for improving recycling efficiency and waste management systems. Dr. Qiu’s most notable contribution is the introduction of a spatial adaptive projection technique for three-dimensional object segmentation, a novel approach that enhances the accuracy of identifying and separating waste materials in complex, cluttered environments. This work, detailed in his highly cited 2018 paper "Three Dimensional Object Segmentation Based on Spatial Adaptive Projection for Solid Waste" (9 citations), along with its 2017 predecessor (5 citations), has laid a foundational framework for applying 3D sensing and geometric analysis to real-world environmental challenges. By bridging computer vision with practical sustainability solutions, Dr. Qiu’s research offers a promising pathway toward smarter, more autonomous waste sorting systems, demonstrating significant potential for both academic and industrial impact in the growing field of intelligent environmental monitoring.
Research Focus
Key Achievements
Top Papers
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- 2