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Qingsong Xu
Qingsong Xu
Technical University of Munich; Institute of Mountain Hazards and Environment
Verified email at tum.de - Homepage
Title
Cited by
Cited by
Year
Class-Aware Domain Adaptation for Semantic Segmentation of Remote Sensing Images
Q Xu, X Yuan, C Ouyang
IEEE Transactions on Geoscience and Remote Sensing 60, 1-17, 2020
44*2020
MFFENet and ADANet: a robust deep transfer learning method and its application in high precision and fast cross-scene recognition of earthquake-induced landslides
Q Xu, C Ouyang, T Jiang, X Yuan, X Fan, D Cheng
Landslides 19 (7), 1617-1647, 2022
232022
Nationwide urban tree canopy mapping and coverage assessment in Brazil from high-resolution remote sensing images using deep learning
J Guo, Q Xu, Y Zeng, Z Liu, XX Zhu
ISPRS Journal of Photogrammetry and Remote Sensing 198, 1-15, 2023
222023
Comprehensive analysis and numerical simulation of a large debris flow in the Meilong catchment, China
H An, C Ouyang, F Wang, Q Xu, D Wang, W Yang, T Fan
Engineering Geology 298, 106546, 2022
222022
Attention-based pyramid network for segmentation and classification of high-resolution and hyperspectral remote sensing images
Q Xu, X Yuan, C Ouyang, Y Zeng
Remote Sensing 12 (21), 3501, 2020
202020
Comprehensive study of the Beijing Daanshan rockslide based on real-time videos, field investigations, and numerical modeling
S Zhou, C Ouyang, H An, T Jiang, Q Xu
Landslides 17, 1217-1231, 2020
202020
Universal Domain Adaptation for Remote Sensing Image Scene Classification
Q Xu, Y Shi, X Yuan, XX Zhu
IEEE Transactions on Geoscience and Remote Sensing 61, 1-15, 2023
192023
DFPENet-geology: A Deep Learning Framework for High Precision Recognition and Segmentation of Co-seismic Landslides
Q Xu, C Ouyang, T Jiang, X Fan, D Cheng
arXiv preprint arXiv:1908.10907, 2019
122019
UCDFormer: Unsupervised Change Detection Using a Transformer-driven Image Translation
Q Xu, Y Shi, J Guo, C Ouyang, XX Zhu
IEEE Transactions on Geoscience and Remote Sensing, 2023
112023
Semi-supervised cloud detection in satellite images by considering the domain shift problem
J Guo, Q Xu, Y Zeng, Z Liu, X Zhu
Remote Sensing 14 (11), 2641, 2022
102022
CAS Landslide Dataset: A Large-Scale and Multisensor Dataset for Deep Learning-Based Landslide Detection
Y Xu, C Ouyang, Q Xu, D Wang, B Zhao, Y Luo
Scientific Data 11 (1), 12, 2024
52024
Physics-aware Machine Learning Revolutionizes Scientific Paradigm for Machine Learning and Process-based Hydrology
Q Xu, Y Shi, J Bamber, Y Tuo, R Ludwig, XX Zhu
arXiv preprint arXiv:2310.05227, 2023
32023
Universal domain adaptation without source data for remote sensing image scene classification
Q Xu, Y Shi, X Zhu
IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium …, 2022
32022
On the Generalization of the Semantic Segmentation Model for Landslide Detection.
F Zhang, Y Shi, Q Xu, Z Xiong, W Yao, XX Zhu
CDCEO@ IJCAI, 96-100, 2022
32022
Geologic structure, mechanism, and conditions for rock topples on cataclinal slope, Jinchuan, China
M Xia, GM Ren, QS Xu, WX Fu, SW Li, XW You
Geomatics, Natural Hazards and Risk 9 (1), 1006-1018, 2018
32018
Unsupervised Change Detection Using Real-time Transformers
Q Xu, Y Shi, XX Zhu
2023 Joint Urban Remote Sensing Event (JURSE), 1-4, 2023
22023
Large-scale flood modeling and forecasting with FloodCast
Q Xu, Y Shi, J Bamber, C Ouyang, XX Zhu
arXiv preprint arXiv:2403.12226, 2024
12024
DisasterNets: Embedding Machine Learning in Disaster Mapping
Q Xu, Y Shi, XX Zhu
IGARSS 2023 IEEE International Geoscience and Remote Sensing Symposium, 2023
12023
A large-scale flood modeling using geometry-adaptive physics-informed neural solver and Earth observation data
Q Xu, Y Shi, J Bamber, C Ouyang, XX Zhu
EGU General Assembly Conference Abstracts, EGU-3276, 2023
12023
Optimizing the Post-disaster Resource Allocation with Q-Learning: Demonstration of 2021 China Flood
L Dong, Y Bai, Q Xu, E Mas
International Conference on Database and Expert Systems Applications, 256-262, 2022
12022
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