Xinwei Xue

Papers

Total Citations

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About

Dr. Xinwei Xue is a leading researcher in computer vision and marine robotics, with a specialized focus on underwater object detection and species identification. His most cited work, "Underwater Species Detection using Channel Sharpening Attention" (2021, 74 citations), addresses the formidable challenges of detecting marine life in complex underwater environments—including irregular object movement, occlusion, and low visibility. Dr. Xue’s key contribution lies in developing the Channel Sharpening Attention mechanism, a novel deep learning approach that enhances feature extraction to improve detection accuracy in turbid and dynamic underwater scenes. This innovation has significant implications for autonomous underwater vehicles (AUVs) used in fisheries management, marine biology, and environmental monitoring. By enabling more reliable real-time species detection, his work supports sustainable fishing practices and ecological research. Dr. Xue’s research bridges the gap between artificial intelligence and marine science, offering practical solutions for underwater robotics. His achievements highlight the growing role of AI in exploring and preserving ocean ecosystems, making him a notable figure in applied computer vision and marine technology.