8 citations · 9 across the 2 of their papers we have counts for
2 papers
cs.CV2022★ 8 cited
A high-precision underwater object detection based on joint self-supervised deblurring and improved spatial transformer network
Xiuyuan Li, Fengchao Li, Jiangang Yu +1
Deep learning-based underwater object detection (UOD) remains a major challenge due to the degraded visibility and difficulty to obtain sufficient underwater object images captured…
cs.CV2022★ 1 cited
A high-precision self-supervised monocular visual odometry in foggy weather based on robust cycled generative adversarial networks and multi-task learning aided depth estimation
Xiuyuan Li, Jiangang Yu, Fengchao Li +1
This paper proposes a high-precision self-supervised monocular VO, which is specifically designed for navigation in foggy weather. A cycled generative adversarial network is design…