Lingyun Qiu
Papers
2
Total Citations
57
H-Index
2
About
Lingyun Qiu is an emerging researcher specializing in computational imaging, with a particular focus on non-line-of-sight (NLOS) imaging — a cutting-edge field that seeks to reconstruct objects and scenes hidden from direct observation. Their most significant contribution addresses one of the central limitations in NLOS imaging: the requirement for dense, regularly spaced measurements across large relay surfaces, which has long constrained the practical deployment of such systems in real-world scenarios. Qiu's work introduces a flexible framework capable of handling arbitrary illumination and detection patterns, substantially broadening the applicability of NLOS reconstruction to variable relay environments. This advancement has resonated strongly with the research community, accumulating 55 citations since its 2023 publication — a notable achievement that underscores its relevance to ongoing challenges in the field. An earlier iteration of this work, published in 2022, laid the conceptual groundwork for this breakthrough. Qiu's research sits at the intersection of optics, signal processing, and computer vision, and holds promising implications for applications in robotics, autonomous navigation, and search-and-rescue operations where seeing around corners could prove transformative.
Research Focus
Key Achievements
Top Papers
- 1Non-line-of-sight imaging with arbitrary illumination and detection pattern55 citations · 2023
- 2