Papers
2
Total Citations
57
H-Index
2
About
Zuoqiang Shi is a leading researcher in computational imaging, with a primary focus on non-line-of-sight (NLOS) imaging—a cutting-edge technique that reconstructs objects hidden from direct view. His major contribution lies in developing algorithms that free NLOS imaging from the traditional constraints of dense, regular grid measurements on relay surfaces. By enabling arbitrary illumination and detection patterns, Shi’s work dramatically expands the practical applicability of NLOS imaging to variable and complex real-world scenarios, such as autonomous driving and remote sensing. His 2023 paper on this topic has garnered 55 citations, reflecting its immediate impact on the field. This work builds on an earlier 2022 version (2 citations), showing rapid refinement and growing recognition. Shi’s innovations address a critical bottleneck in computational photography, making NLOS systems more flexible, efficient, and deployable. His research bridges theoretical optics and practical engineering, offering transformative potential for imaging in cluttered or hazardous environments. For students and researchers, Shi exemplifies how rethinking fundamental assumptions can unlock new frontiers in imaging science.
Research Focus
Key Achievements
Top Papers
- 1Non-line-of-sight imaging with arbitrary illumination and detection pattern55 citations · 2023
- 2