Jiahui Qian
Papers
1
Total Citations
5
H-Index
1
About
Jiahui Qian is a researcher at the forefront of marine robotics and computer vision, with a primary focus on underwater object detection. Their most significant contribution is the development of WDS-YOLO, a novel detection model that fuses wavelet convolution with deformable attention mechanisms to address the critical challenge of automated marine benthos identification. This work, published in 2025 and already garnering 5 citations, tackles the persistent problems of poor underwater imaging conditions, small object occlusion, and missed detections that have long hindered autonomous fishing operations. By enabling underwater robots to accurately detect and classify marine life in real-time, Qian's research directly advances the practical deployment of intelligent automation in the fishing industry. Their work represents a meaningful step toward more efficient, sustainable marine resource harvesting, combining theoretical innovation in attention mechanisms with applied engineering solutions for harsh underwater environments.
Research Focus
Key Achievements
Top Papers
- 1