Xue Li

Institute of Computing Technology, Henan Institute of Technology

Papers

Total Citations

H-Index

About

Xue Li is a researcher working at the intersection of computer vision, 3D perception, and human-robot interaction, with a focus on developing intelligent systems capable of understanding and interpreting complex visual environments. Their work on RGB-D object recognition from hand-held object teaching represents a notable contribution to the field, addressing a critical gap in conventional recognition methods by incorporating human interaction into the object segmentation and concept learning pipeline. By acknowledging the role of humans in teaching object concepts and enabling knowledge transfer to general indoor scenes, this research pushed the boundaries of how machines learn to perceive objects contextually rather than through isolated classification alone. More recently, Li has extended their expertise into 3D point cloud analysis, with work on polyhedral representations enhanced by high-frequency features for three-dimensional point cloud classification, reflecting a growing interest in robust geometric modeling for scene understanding. While still building a citation record — with their RGB-D work accumulating 2 citations and their latest contribution already attracting attention — Li's research trajectory demonstrates a consistent commitment to advancing perception systems that bridge human cognition and machine learning in real-world spatial environments.