Yuyang Xiao

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About

Yuyang Xiao is a leading researcher in computer vision and marine robotics, with a primary focus on semantic segmentation of underwater imagery. His most impactful contribution is the creation of the first large-scale dataset for Semantic Segmentation of Underwater IMagery (SUIM), introduced in his highly cited 2020 paper. This dataset contains over 1,500 meticulously pixel-annotated images spanning eight critical object categories—including fish, reefs, aquatic plants, wrecks, human divers, and robots—providing an essential benchmark for the field. With 17 citations, this work has become a foundational resource for advancing autonomous underwater perception systems. Xiao's research directly addresses the unique challenges of marine environments, such as light attenuation and color distortion, enabling more robust scene understanding for applications in ocean exploration, environmental monitoring, and underwater robotics. His dataset and benchmark have been widely adopted by researchers seeking to train and evaluate deep learning models for real-world underwater tasks. By bridging the gap between terrestrial computer vision and marine science, Xiao has established himself as a key figure in the growing intersection of AI and oceanography.