Ye Lyu

Papers

Total Citations

386

H-Index

About

Ye Lyu is a computer vision researcher whose work centers on semantic segmentation, UAV (unmanned aerial vehicle) imagery, and visual perception for autonomous systems. Best known for developing **UAVid**, a pioneering large-scale dataset designed specifically for semantic segmentation of UAV footage, Lyu has made a foundational contribution to a rapidly growing subfield that bridges aerial imaging and scene understanding. The UAVid dataset addresses a critical gap in the research community by providing high-quality annotated UAV sequences tailored for both image and video semantic segmentation tasks — resources that are essential for applications in robotics, autonomous driving, and urban scene analysis. Lyu's most-cited work, the 2020 publication of UAVid in its full form, has accumulated 367 citations, underscoring its significant adoption and influence within the computer vision community. Earlier iterations of the dataset, introduced in 2018, further demonstrate Lyu's sustained commitment to advancing benchmark resources in this domain. By making UAV-perspective semantic segmentation more accessible and rigorously benchmarked, Lyu's research has empowered subsequent work in aerial scene parsing and multi-class video understanding, establishing a valuable foundation for researchers exploring perception in complex, real-world environments.