Yuankun Liu
Papers
1
Total Citations
50
H-Index
1
About
Yuankun Liu is a leading researcher at the intersection of computational optics and imaging science, whose work redefines how we capture and process visual information. His most influential contribution is the pioneering demonstration of end-to-end computational optics using a simple singlet lens to achieve large depth-of-field (DOF) imaging with high resolution—a feat traditionally requiring complex, multi-element optical systems. This 2021 paper, which has garnered over 50 citations, elegantly combines optical design with deep learning-based reconstruction, offering a compact, cost-effective solution for applications from robot vision to biomedical microscopy. Liu’s approach not only challenges conventional trade-offs between lens simplicity and image quality but also opens new pathways for miniaturized cameras and adaptive imaging systems. His work is widely recognized for its practical impact, bridging the gap between hardware and algorithms. Through this innovation, Liu has established himself as a key figure in the growing field of computational imaging, inspiring further research into end-to-end optimization of optical systems.
Research Focus
Key Achievements
Top Papers
- 1