77 citations · 79 across the 5 of their papers we have counts for
5 papers
Advancing All-Weather Building Damage Mapping to the Instance Level: Outcomes and Insights from the 2026 Bright Challenge
Hongruixuan Chen, He Huang, Haifeng Wang +19
Rapid post-disaster response requires timely, building-level information on whether structures remain intact, are damaged, or are destroyed. Post-event optical imagery, however, ma…
Identifying every building's function in large-scale urban areas with multi-modality remote-sensing data
Zhuohong Li, Wei He, Jiepan Li +1
Buildings, as fundamental man-made structures in urban environments, serve as crucial indicators for understanding various city function zones. Rapid urbanization has raised an urg…
Learning without Exact Guidance: Updating Large-scale High-resolution Land Cover Maps from Low-resolution Historical Labels
Zhuohong Li, Wei He, Jiepan Li +2
Large-scale high-resolution (HR) land-cover mapping is a vital task to survey the Earth's surface and resolve many challenges facing humanity. However, it is still a non-trivial ta…
Cross-level Attention with Overlapped Windows for Camouflaged Object Detection
Jiepan Li, Fangxiao Lu, Nan Xue +3
Camouflaged objects adaptively fit their color and texture with the environment, which makes them indistinguishable from the surroundings. Current methods revealed that high-level…
Building Extraction from Remote Sensing Images via an Uncertainty-Aware Network
Wei He, Jiepan Li, Weinan Cao +2
Building extraction aims to segment building pixels from remote sensing images and plays an essential role in many applications, such as city planning and urban dynamic monitoring.…