Lihao Jiang

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About

Dr. Lihao Jiang is a leading researcher in underwater computer vision and marine robotics, whose work addresses the formidable challenges of detecting and tracking objects in complex aquatic environments. His primary research areas include deep learning-based object detection, attention mechanisms, and autonomous underwater systems. Dr. Jiang’s most influential contribution is the development of the Channel Sharpening Attention mechanism, introduced in his highly cited 2021 paper “Underwater Species Detection using Channel Sharpening Attention” (74 citations). This innovative approach significantly improves the accuracy of detecting marine species by enhancing feature representation in low-visibility, occlusion-prone underwater scenes—a critical advancement for fish stock assessment and ecological monitoring. His work directly supports the deployment of intelligent underwater robots in the fish industry, enabling more reliable real-time analysis despite irregular object movement and sediment interference. By bridging the gap between theoretical attention models and practical marine applications, Dr. Jiang has established himself as a key figure in applied underwater AI, with his methods influencing subsequent research in autonomous marine inspection and environmental sensing.