Jiadi Cui
Papers
1
Total Citations
7
H-Index
1
About
Dr. Jiadi Cui is a researcher at the forefront of robotic perception and computer vision, with a core focus on underwater depth estimation and spherical imaging. Her most cited work, "Underwater Depth Estimation for Spherical Images" (2021, 7 citations), tackles the notoriously difficult open problem of monocular depth sensing in aquatic environments. Rather than relying on scarce underwater ground-truth data, Dr. Cui pioneered an unsupervised approach that cleverly leverages abundant in-air RGB-D image pairs, adapting them for the spherical domain. This innovative method enables robust depth estimation from a single underwater camera, a critical capability for autonomous underwater vehicles (AUVs) navigating complex, low-visibility conditions. By bridging the gap between terrestrial and underwater vision, her contributions directly advance the reliability of robotic systems for marine exploration, inspection, and environmental monitoring. Dr. Cui’s work is distinguished by its practical, data-efficient strategy, offering a scalable path to 3D perception beneath the waves. Her research continues to inspire new directions in domain adaptation and geometric learning for non-conventional camera models.
Research Focus
Key Achievements
Top Papers
- 1Underwater Depth Estimation for Spherical Images7 citations · 2021