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Maosu Li
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A room with a view: Automatic assessment of window views for high-rise high-density areas using City Information Models and deep transfer learning
M Li, F Xue, Y Wu, AGO Yeh
Landscape and Urban Planning 226, 104505, 2022
412022
Building feature‐based machine learning regression to quantify urban material stocks: A Hong Kong study
L Yuan, W Lu, F Xue, M Li
Journal of Industrial Ecology 27 (1), 336-349, 2023
242023
Bi-objective analytics of 3D visual-physical nature exposures in high-rise high-density cities for landscape and urban planning
M Li, F Xue, AGO Yeh
Landscape and Urban Planning 233, 104714, 2023
152023
HRHD-HK: A benchmark dataset of high-rise and high-density urban scenes for 3D semantic segmentation of photogrammetric point clouds
M Li, Y Wu, AG Yeh, F Xue
2023 IEEE international conference on image processing challenges and …, 2023
92023
Classification of photo-realistic 3D window views in a high-density city: The case of Hong Kong
M Li, F Xue, AGO Yeh, W Lu
Proceedings of the 25th International Symposium on Advancement of …, 2021
82021
An efficient graph-based spatio-temporal indexing method for task-oriented multi-modal scene data organization
B Feng, Q Zhu, M Liu, Y Li, J Zhang, X Fu, Y Zhou, M Li, H He, W Yang
ISPRS International Journal of Geo-Information 7 (9), 371, 2018
82018
CIM-enabled quantitative view assessment in architectural design and space planning
V Laovisutthichai, M Li, F Xue, W Lu, K Tam, AG Yeh
Proceedings of 38th International Symposium on Automation and Robotics in …, 2021
72021
A novel Building Section Skeleton for compact 3D reconstruction from point clouds: A study of high-density urban scenes
Y Wu, F Xue, M Li, SH Chen
ISPRS Journal of Photogrammetry and Remote Sensing 209, 85-100, 2024
62024
Role of the built environment in the recovery from COVID-19: evidence from a GIS-based natural experiment on the city blocks in Wuhan, China
M Li, Y Peng, Y Wu, J Xu, T Tan, H Guo, W Lu, AGO Yeh, F Xue
Frontiers in Built Environment 7, 813399, 2022
52022
Optimized spatiotemporal data scheduling based on maximum flow for multilevel visualization tasks
Q Zhu, M Chen, B Feng, Y Zhou, M Li, Z Xu, Y Ding, M Liu, W Wang, X Xie
ISPRS International Journal of Geo-Information 9 (9), 518, 2020
52020
Hierarchical attributed graph-based generative façade parsing for high-rise residential buildings
B Wang, M Li, Z Peng, W Lu
Automation in Construction 164, 105471, 2024
32024
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
M Li, AGO Yeh, F Xue
Urban Informatics 3 (1), 12, 2024
32024
Efficient assessment of window views in high-rise, high-density urban areas using 3D color City Information Models
M Li, F Xue, AGO Yeh
arXiv preprint arXiv:2308.12909, 2023
32023
Towards fully automatic Scan-to-BIM: A prototype method integrating deep neural networks and architectonic grammar
Y Wu, M Li, F Xue
EC3 Conference 2023 4, 0-0, 2023
32023
An efficient sparse graph index method for dynamic and associated data
Z Qing, F Bin, L Maosu, C Meite, X Zhaowen, XIE Xiao, Z Yeting, ...
Acta Geodaetica et Cartographica Sinica 49 (6), 681, 2020
32020
Floor layer-based kernels and pillars of points (FLKPP): 3D building model reconstruction
Y Wu, M Li, F Xue
2nd Workshop on Computer Vision in the Built Environment, CVPR 19, 2022
22022
Prospect of architectonic grammar reconstruction from dense 3D point clouds: Historical building information modeling (HBIM) of Guangdong cultural heritages
J Zhang, M Li, W Zhang, Y Wu, F Xue
Proceedings of the 25th International Symposium on Advancement of …, 2021
22021
面向动态关联数据的高效稀疏图索引方法
朱庆, 冯斌, 李茂粟, 陈媚特, 徐肇文, 谢潇, 张叶廷, 刘铭崴, 黄志勤, ...
测绘学报, 2020
22020
滑坡灾情数据多层级语义检索方法
朱庆, 李茂粟, 丁雨淋, 冯斌, 张骏骁, 曹振宇, 仇林遥, 殷浩
西南交通大学学报 55 (3), 467-475, 2020
12020
From 3D pedestrian networks to wheelable networks: An automatic wheelability assessment method for high-density urban areas using contrastive deep learning of smartphone point …
S Meng, X Su, G Sun, M Li, F Xue
Computers, Environment and Urban Systems 117, 102255, 2025
2025
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