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Lukas Liebel
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Cited by
Year
Auxiliary tasks in multi-task learning
L Liebel, M Körner
arXiv preprint arXiv:1805.06334, 2018
2142018
Single-Image Super Resolution for Multispectral Remote Sensing Data Using Convolutional Neural Networks
L Liebel, M Körner
International Archives of the Photogrammetry, Remote Sensing & Spatial …, 2016
1462016
Evaluation of cnn-based single-image depth estimation methods
T Koch, L Liebel, F Fraundorfer, M Körner
Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018
1212018
Weakly supervised semantic segmentation of satellite images for land cover mapping--challenges and opportunities
M Schmitt, J Prexl, P Ebel, L Liebel, XX Zhu
arXiv preprint arXiv:2002.08254, 2020
642020
MultiDepth: Single-Image Depth Estimation via Multi-Task Regression and Classification
L Liebel, M Körner
IEEE Intelligent Transportation Systems Conference, 2019
302019
Voluminator—approximating the volume of 3D buildings to overcome topological errors
H Steuer, T Machl, M Sindram, L Liebel, TH Kolbe
AGILE 2015: Geographic Information Science as an Enabler of Smarter Cities …, 2015
202015
A Generalized Multi-Task Learning Approach to Stereo DSM Filtering in Urban Areas
L Liebel, K Bittner, M Körner
ISPRS Journal of Photogrammetry and Remote Sensing 116, 213-227, 2020
172020
Deep Residual Learning for Single-Image Super-Resolution of Multi-Spectral Satellite Imagery
L Wagner, L Liebel, M Körner
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2019
142019
Multitask learning for human settlement extent regression and local climate zone classification
C Qiu, L Liebel, LH Hughes, M Schmitt, M Körner, XX Zhu
IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2020
132020
Comparison of monocular depth estimation methods using geometrically relevant metrics on the IBims-1 dataset
T Koch, L Liebel, M Körner, F Fraundorfer
Computer Vision and Image Understanding 191, 102877, 2020
112020
Long-short skip connections in deep neural networks for dsm refinement
K Bittner, L Liebel, M Körner, P Reinartz
The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2020
92020
Weakly supervised semantic segmentation of satellite images for land cover mapping–challenges and opportunities. arXiv 2020
M Schmitt, J Prexl, P Ebel, L Liebel, XX Zhu
arXiv preprint arXiv:2002.08254, 0
7
Auxiliary tasks in multi-task learning. arXiv
L Liebel, M Körner
arXiv preprint arXiv:1805.06334, 2018
52018
Derivation of Geometrically and Semantically Annotated UAV Datasets at Large Scales from 3D City Models
S Wu, L Liebel, M Körner
2020 25th International Conference on Pattern Recognition (ICPR), 4712-4719, 2021
32021
Deep Convolutional Neural Networks for Semantic Segmentation of Multispectral Sentinel-2 Satellite Imagery: An Open Data Approach to Large-Scale Land Use and Land Cover …
L Liebel
PFGK18, 2018
32018
Towards Seamless Validation of Land Cover Data
E Chuprikova, L Liebel, L Meng
Proceedings of the ICA, Volume 1, 2018, pp. 23 1, 6, 2018
22018
Corrigendum-Voluminator
H Steuer, T Machl, M Sindram, L Liebel, TH Kolbe
2015
Erzeugung und Visualisierung geographischer Kontextdokumente
L Liebel
2014
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