An Efficient Graph-Based Spatio-Temporal Indexing Method for Task-Oriented Multi-Modal Scene Data Organization. - Bin Feng; Qing Zhu; Mingwei Liu 001; Yun Li 003; Junxiao Zhang; Xiao Fu; Yan Zhou; Maosu Li; Huagui He; Weijun Yang (ISPRS Int. J. Geo Inf., 2018)

Optimized Spatiotemporal Data Scheduling Based on Maximum Flow for Multilevel Visualization Tasks. - Qing Zhu; Meite Chen; Bin Feng; Yan Zhou; Maosu Li; Zhaowen Xu; Yulin Ding; Mingwei Liu 001; Wei Wang; Xiao Xie (ISPRS Int. J. Geo Inf., 2020)

HRHD-HK: A benchmark dataset of high-rise and high-density urban scenes for 3D semantic segmentation of photogrammetric point clouds. - Maosu Li; Yijie Wu; Anthony G. O. Yeh; Fan Xue (CoRR, 2023)

Efficient assessment of window views in high-rise, high-density urban areas using 3D color City Information Models. - Maosu Li; Fan Xue; Anthony G. O. Yeh (CoRR, 2023)

CIM-WV: A 2D semantic segmentation dataset of rich window view contents in high-rise, high-density Hong Kong based on photorealistic city information models. - Maosu Li; Anthony G. O. Yeh; Fan Xue (Urban Inform., 2024)

From 3D pedestrian networks to wheelable networks: An automatic wheelability assessment method for high-density urban areas using contrastive deep learning of smartphone point clouds. - Siyuan Meng; Xian Su; Guibo Sun; Maosu Li; Fan Xue (Comput. Environ. Urban Syst., 2025)