Leping Xiao
Papers
2
Total Citations
57
H-Index
2
About
Leping Xiao is a researcher pushing the boundaries of computational imaging, with a primary focus on non-line-of-sight (NLOS) imaging—a technique that reconstructs objects hidden around corners or behind obstacles. His major contribution lies in liberating NLOS imaging from the rigid constraints of traditional methods. While conventional approaches demand dense, regular grid measurements across large relay surfaces, Xiao’s work introduces algorithms that work with arbitrary illumination and detection patterns. This breakthrough dramatically expands the practical applicability of NLOS imaging to variable and unpredictable real-world relay scenarios, such as rough walls or irregular surfaces. His most-cited 2023 paper on this topic has already garnered 55 citations, signaling strong interest from the computer vision and optics communities. By solving a key bottleneck in measurement flexibility, Xiao is helping to move NLOS imaging from the lab toward field deployment in autonomous navigation, search-and-rescue, and remote sensing. His research represents a significant step in making hidden-object imaging more robust, adaptable, and ready for real-world challenges.
Research Focus
Key Achievements
Top Papers
- 1Non-line-of-sight imaging with arbitrary illumination and detection pattern55 citations · 2023
- 2