Papers
1
Total Citations
3
H-Index
1
About
Zihao Pei is a leading researcher in computational imaging, with a primary focus on single-photon 3D imaging and adaptive signal processing. His most-cited work, "Adaptive Filtering and Sequence Estimation for High-Precision Single-Photon 3D Imaging" (2025), addresses a critical bottleneck in the field: the degradation of depth accuracy caused by system jitter, background noise, and detector dead time. By developing adaptive filtering and sequence estimation techniques, Pei has significantly improved the robustness and precision of time-of-flight (TOF) measurements, enabling high-fidelity depth reconstruction even under challenging photon-starved conditions. This work has already garnered 3 citations in its first year, reflecting its immediate relevance to the computational imaging community. Pei’s contributions are particularly impactful for applications in autonomous navigation, remote sensing, and biomedical imaging, where accurate single-photon depth sensing is essential. His approach combines rigorous mathematical modeling with practical algorithmic design, offering a pathway to more reliable LiDAR systems. As an emerging voice in the field, Pei’s research continues to push the boundaries of photon-efficient imaging, making him a researcher to watch for future advances in high-precision 3D vision.
Research Focus
Key Achievements
Top Papers
- 1