Ge Wen
Papers
1
Total Citations
76
H-Index
1
About
Dr. Ge Wen is a leading researcher in computer vision and deep learning, with a primary focus on advancing object detection in challenging environments. Their most significant contribution is the development of YOLOv5s-CA, a modified YOLOv5s network enhanced with a coordinate attention mechanism, specifically designed for underwater target detection. This work, published in 2023 and already garnering 76 citations, addresses critical challenges in marine surveillance, aquaculture, and underwater rescue by improving recognition accuracy in complex, low-visibility conditions with limited training data. Dr. Wen’s research bridges the gap between state-of-the-art deep learning architectures and real-world underwater applications, demonstrating a keen ability to adapt general-purpose models for specialized domains. Their work has been rapidly recognized by the community, reflecting its practical impact on autonomous underwater vehicles and marine robotics. By tackling the dual problems of environmental complexity and data scarcity, Dr. Wen continues to push the boundaries of robust visual perception systems, making their research essential reading for students and engineers working on edge-deployed detection models in non-ideal conditions.
Research Focus
Key Achievements
Top Papers
- 1