Jiaqi Jia
Papers
1
Total Citations
72
H-Index
1
About
Dr. Jiaqi Jia is a leading researcher in computer vision and marine intelligence, with a primary focus on advancing underwater object detection technologies. Her most impactful work, "Underwater Object Detection Based on Improved EfficientDet" (2022), has garnered 72 citations, addressing the critical challenge of accurately identifying marine organisms in complex, low-visibility aquatic environments. By enhancing the EfficientDet architecture, Dr. Jia developed a model that significantly outperforms conventional detection systems, enabling faster and more reliable recognition of marine life—a breakthrough with profound implications for marine equipment automation, ecological monitoring, and the sustainable development of the marine economy. Her contributions bridge the gap between terrestrial object detection methods and the unique demands of underwater imaging, tackling issues like light attenuation, color distortion, and turbidity. This work has established her as a key innovator in applied AI for oceanography, and her research continues to inspire further advancements in real-time marine surveillance systems. Dr. Jia’s dedication to solving real-world environmental challenges through deep learning underscores her role as a pivotal figure in the intersection of artificial intelligence and marine science.
Research Focus
Key Achievements
Top Papers
- 1Underwater Object Detection Based on Improved EfficientDet72 citations · 2022