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His research focuses on advancing semantic segmentation through depth-aware multimodal learning, with particular emphasis on domain generalization and robustness. He is committed to improving the stability and generalization of segmentation in diverse traffic and urban scenes.
His research interests focus on Urban Sustainable Development, 2D Computer Vision, and Geographic Information Systems (GIS). He is passionate about leveraging computer vision techniques and geospatial technologies to address urban sustainability challenges, including smart city development, urban environmental monitoring, and sustainable urban planning.