Weiqing Qi
Papers
1
Total Citations
3
H-Index
1
About
Weiqing Qi is a leading researcher in computer vision and autonomous systems, with a primary focus on self-supervised depth estimation for wide-angle cameras. His most influential work, "FisheyeDepth: A Real Scale Self-Supervised Depth Estimation Model for Fisheye Camera" (2025), addresses a critical bottleneck in 3D scene understanding for robotics and autonomous vehicles. By tackling the dual challenges of scarce ground truth data and severe image distortions inherent to fisheye lenses, Qi developed a novel self-supervised framework that enables accurate, real-scale depth estimation without expensive labeled datasets. This breakthrough leverages the geometric advantages of fisheye cameras—their expansive field of view—to enhance spatial perception in complex environments. With 3 citations already in its first year, the paper is gaining rapid traction as a foundational solution for cost-effective, robust depth sensing. Qi’s work is particularly notable for its practical impact, offering a scalable path to improving navigation and obstacle avoidance in real-world autonomous systems. His contributions are shaping the next generation of perception models, making him a rising figure in the field.
Research Focus
Key Achievements
Top Papers
- 1