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Guangming Wu
Guangming Wu
Center for Spatial Information Science, The University of Tokyo
Verified email at csis.u-tokyo.ac.jp - Homepage
Title
Cited by
Cited by
Year
Automatic building segmentation of aerial imagery using multi-constraint fully convolutional networks
G Wu, X Shao, Z Guo, Q Chen, W Yuan, X Shi, Y Xu, R Shibasaki
Remote Sensing 10 (3), 407, 2018
1962018
TEMPORARY REMOVAL: Aerial imagery for roof segmentation: A large-scale dataset towards automatic mapping of buildings
Q Chen, L Wang, Y Wu, G Wu, Z Guo, SL Waslander
ISPRS journal of photogrammetry and remote sensing 147, 42-55, 2019
1262019
Improved PSO-based method for leak detection and localization in liquid pipelines
H Zhang, Y Liang, W Zhang, N Xu, Z Guo, G Wu
IEEE Transactions on Industrial Informatics 14 (7), 3143-3154, 2018
852018
Village building identification based on ensemble convolutional neural networks
Z Guo, Q Chen, G Wu, Y Xu, R Shibasaki, X Shao
Sensors 17 (11), 2487, 2017
792017
A boundary regulated network for accurate roof segmentation and outline extraction
G Wu, Z Guo, X Shi, Q Chen, Y Xu, R Shibasaki, X Shao
Remote Sensing 10 (8), 1195, 2018
572018
Pedestrian trajectory prediction in extremely crowded scenarios
X Shi, X Shao, Z Guo, G Wu, H Zhang, R Shibasaki
Sensors 19 (5), 1223, 2019
562019
Super-resolution integrated building semantic segmentation for multi-source remote sensing imagery
Z Guo, G Wu, X Song, W Yuan, Q Chen, H Zhang, X Shi, M Xu, Y Xu, ...
IEEE Access 7, 99381-99397, 2019
432019
A hybrid time MILP model for the pump scheduling of multi-product pipelines based on the rigorous description of the pipeline hydraulic loss changes
X Zhou, H Zhang, R Qiu, Y Liang, G Wu, C Xiang, X Yan
Computers & Chemical Engineering 121, 174-199, 2019
402019
Semantic segmentation for urban planning maps based on U-Net
Z Guo, H Shengoku, G Wu, Q Chen, W Yuan, X Shi, X Shao, Y Xu, ...
IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018
352018
A stacked fully convolutional networks with feature alignment framework for multi-label land-cover segmentation
G Wu, Y Guo, X Song, Z Guo, H Zhang, X Shi, R Shibasaki, X Shao
Remote Sensing 11 (9), 1051, 2019
302019
基于 U 型卷积神经网络的航空影像建筑物检测
伍广明, 陈奇, 郭直灵, 邵肖伟, 许永伟
测绘学报, 2018
232018
Multimodal interaction-aware trajectory prediction in crowded space
X Shi, X Shao, Z Fan, R Jiang, H Zhang, Z Guo, G Wu, W Yuan, ...
Proceedings of the AAAI Conference on Artificial Intelligence 34 (07), 11982 …, 2020
172020
GEOSEG: A computer vision package for automatic building segmentation and outline extraction
G Wu, Z Guo, X Shao, R Shibasaki
IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019
152019
Large-scale and refined green space identification-based sustainable urban renewal mode assessment
R Guo, X Song, P Li, G Wu, Z Guo
Mathematical Problems in Engineering 2020, 1-12, 2020
122020
Learn to recover visible color for video surveillance in a day
G Wu, Y Zheng, Z Guo, Z Cai, X Shi, X Ding, Y Huang, Y Guo, R Shibasaki
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
122020
Social-dpf: Socially acceptable distribution prediction of futures
X Shi, X Shao, G Wu, H Zhang, Z Guo, R Jiang, R Shibasaki
Proceedings of the AAAI Conference on Artificial Intelligence 35 (3), 2550-2557, 2021
62021
Learn to Be Clear and Colorful: An End-to-End Network for Panchromatic Image Enhancement
Y Guo, M Zhou, Y Wang, G Wu, R Shibasaki
IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2022
42022
Learn to extract building outline from misaligned annotation through nearest feature selector
Y Wang, G Wu, Y Guo, Y Huang, R Shibasaki
Remote Sensing 12 (17), 2722, 2020
22020
Learn to optimize panchromatic imagery for accurate building extraction
Y Wang, G Wu, C Feng, R Shibasaki
IEEE Access 9, 77067-77078, 2021
12021
Geosr: A Computer Vision Package for Deep Learning Based Single-Frame Remote Sensing Imagery Super-Resolution
Z Guo, G Wu, X Shi, M Sui, X Song, Y Xu, X Shao, R Shibasaki
IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019
12019
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