Papers
2
Total Citations
56
H-Index
1
About
Dr. Qiaoqiao Sun is a researcher whose work bridges the frontiers of embedded artificial intelligence and 3D computer vision, with a particular focus on marine applications and spatial reconstruction. Her most influential contribution, "Real-Time Marine Animal Images Classification by Embedded System Based on Mobilenet and Transfer Learning" (2019, 55 citations), demonstrates her pioneering approach to deploying lightweight deep learning models on resource-constrained hardware. This work directly addresses the critical need for automated monitoring in marine aquaculture—enabling real-time classification of marine animals to track growth, optimize fishing, and assess water conditions. More recently, Dr. Sun has advanced the field of 3D reconstruction with "Point Cloud Registration Based on Multiple Neighborhood Feature Difference" (2025), tackling the computationally intensive challenge of dense point cloud alignment for applications in robotic navigation, autonomous driving, and 3D measurement. Her research is characterized by a practical, systems-oriented mindset, combining algorithmic innovation with embedded system deployment. By solving real-world problems—from underwater monitoring to spatial mapping—Dr. Sun's work has established her as a thoughtful contributor to applied computer vision, with her 2019 paper serving as a foundational reference for researchers working at the intersection of deep learning and edge computing.
Research Focus
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Top Papers
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