Qingyu Li
Orcid: 0000-0003-1067-1222Affiliations:
- Chinese University of Hong Kong - Shenzhen (CUHK-SZ), Shenzhen, China
- Technical University of Munich (TUM), Data Science in Earth Observation, Munich, Germany (former)
- German Aerospace Center (DLR), Oberpfaffenhofen, Germany (former)
According to our database1,
Qingyu Li authored at least 27 papers
between 2016 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2025
BANet: A bilateral attention network for extracting changed buildings between remote sensing imagery and cadastral maps.
Int. J. Appl. Earth Obs. Geoinformation, 2025
2024
AIO2: Online Correction of Object Labels for Deep Learning With Incomplete Annotation in Remote Sensing Image Segmentation.
IEEE Trans. Geosci. Remote. Sens., 2024
A Review of Building Extraction From Remote Sensing Imagery: Geometrical Structures and Semantic Attributes.
IEEE Trans. Geosci. Remote. Sens., 2024
2023
Int. J. Appl. Earth Obs. Geoinformation, June, 2023
SolarNet: A convolutional neural network-based framework for rooftop solar potential estimation from aerial imagery.
Int. J. Appl. Earth Obs. Geoinformation, February, 2023
Proceedings of the Joint Urban Remote Sensing Event, 2023
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
2022
Semi-Supervised Building Footprint Generation With Feature and Output Consistency Training.
IEEE Trans. Geosci. Remote. Sens., 2022
Building Footprint Generation Through Convolutional Neural Networks With Attraction Field Representation.
IEEE Trans. Geosci. Remote. Sens., 2022
RegGAN: An End-to-End Network for Building Footprint Generation with Boundary Regularization.
Remote. Sens., 2022
Identification of undocumented buildings in cadastral data using remote sensing: Construction period, morphology, and landscape.
Int. J. Appl. Earth Obs. Geoinformation, 2022
CrossGeoNet: A Framework for Building Footprint Generation of Label-Scarce Geographical Regions.
Int. J. Appl. Earth Obs. Geoinformation, 2022
Feature and Output Consistency Training for Semi-Supervised Building Footprint Generation.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022
2021
End-to-End Semantic Segmentation and Boundary Regularization of Buildings from Satellite Imagery.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
Mask-Height R-CNN: An End-to-End Network for 3D Building Reconstruction from Monocular Remote Sensing Imagery.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
2020
Building Footprint Generation by Integrating Convolution Neural Network With Feature Pairwise Conditional Random Field (FPCRF).
IEEE Trans. Geosci. Remote. Sens., 2020
Detection of Undocumented Building Constructions from Official Geodata Using a Convolutional Neural Network.
Remote. Sens., 2020
Mapping the Land Cover of Africa at 10 m Resolution from Multi-Source Remote Sensing Data with Google Earth Engine.
Remote. Sens., 2020
Building Footprint Generation by IntegratingConvolution Neural Network with Feature PairwiseConditional Random Field (FPCRF).
CoRR, 2020
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020
2019
IEEE Geosci. Remote. Sens. Lett., 2019
Building Segmentation through a Gated Graph Convolutional Neural Network with Deep Structured Feature Embedding.
CoRR, 2019
Proceedings of the Joint Urban Remote Sensing Event, 2019
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
2016
Assessing and Improving the Accuracy of GlobeLand30 Data for Urban Area Delineation by Combining Multisource Remote Sensing Data.
IEEE Geosci. Remote. Sens. Lett., 2016