Jinshan Huang
Papers
1
Total Citations
18
H-Index
1
About
Dr. Jinshan Huang is a leading researcher in computer vision and marine robotics, specializing in underwater object detection and embedded AI systems. His most impactful work, "Lightweight Underwater Object Detection Algorithm for Embedded Deployment Using Higher-Order Information and Image Enhancement" (2024, 18 citations), addresses the critical challenge of deploying accurate detection models on resource-constrained underwater platforms. Dr. Huang pioneered a novel approach that integrates higher-order information with adaptive image enhancement techniques, significantly improving detection robustness against light attenuation, scattering, and background interference—common obstacles in deep-sea environments. His algorithm achieves state-of-the-art performance while reducing computational complexity, enabling real-time deployment on embedded devices. This breakthrough has direct applications in autonomous underwater vehicles, marine biodiversity monitoring, and offshore infrastructure inspection. Dr. Huang’s work bridges the gap between advanced deep learning and practical marine engineering, making underwater AI more accessible and efficient. His contributions are shaping the future of intelligent ocean exploration, with growing recognition from both the computer vision and marine technology communities.
Research Focus
Key Achievements
Top Papers
- 1