5 papers
MARCUS: Missing-Aware Region Representation with Contextual Urban Signals for Rent Prediction
Chenya Huang, Bin Liang, Zhidong Li +4
Multimodal urban data has expanded the applications of urban region representation learning, such as functional zone identification and real estate appraisal, but also introduces c…
Transferring Physical Priors into Remote Sensing Segmentation via Large Language Models
Yuxi Lu, Kunqi Li, Zhidong Li +4
Semantic segmentation of remote sensing imagery is fundamental to Earth observation. Achieving accurate results requires integrating not only optical images but also physical varia…
Remote Sensing-Oriented World Model
Yuxi Lu, Biao Wu, Zhidong Li +7
World models have shown potential in artificial intelligence by predicting and reasoning about world states beyond direct observations. However, existing approaches are predominant…
HOTA: Hierarchical Overlap-Tiling Aggregation for Large-Area 3D Flood Mapping
Wenfeng Jia, Bin Liang, Yuxi Lu +3
Floods are among the most frequent natural hazards and cause significant social and economic damage. Timely, large-scale information on flood extent and depth is essential for disa…
A Comprehensive Survey on Deep Learning Solutions for 3D Flood Mapping
Wenfeng Jia, Bin Liang, Yuxi Liu +2
Flooding remains a major global challenge, worsened by climate change and urbanization, demanding advanced solutions for effective disaster management. While traditional 2D flood m…