| Auxiliary tasks in multi-task learning L Liebel, M Körner arXiv preprint arXiv:1805.06334, 2018 | 317 | 2018 |
| 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 | 176 | 2016 |
| 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 | 163 | 2018 |
| 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 | 86 | 2020 |
| MultiDepth: Single-Image Depth Estimation via Multi-Task Regression and Classification L Liebel, M Körner IEEE Intelligent Transportation Systems Conference, 2019 | 29 | 2019 |
| 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 | 23 | 2020 |
| 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 | 20 | 2015 |
| 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 | 18 | 2020 |
| 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 | 17 | 2020 |
| 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 | 15 | 2019 |
| 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 | 13 | 2020 |
| 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 | 13 | |
| Auxiliary tasks in multi-task learning. arXiv L Liebel, M Körner arXiv preprint arXiv:1805.06334, 2018 | 9 | 2018 |
| 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 | 3 | 2021 |
| 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 | 3 | 2018 |
| 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 | 2 | 2018 |
| Evaluation of CNN-based Single-Image Depth Estimation Methods L Liebel, F Fraundorfer, M Körner, T Koch Proceedings ECCV 2018 Workshops, 2019 | | 2019 |
| Corrigendum-Voluminator H Steuer, T Machl, M Sindram, L Liebel, TH Kolbe | | 2015 |
| Erzeugung und Visualisierung geographischer Kontextdokumente L Liebel | | 2014 |
Marco KörnerTechnical University of Munich (TUM)E-mailová adresa ověřena na: tum.de
