Lukas Liebel

Publication Activity (10 Years)

Years Active: 2015-2022
Publications (10 Years): 11

Top Topics

Multitask Learning

Weakly Supervised

Depth Estimation

Top Venues

ECCV Workshops (3)

Publications

Chunping Qiu, Lukas Liebel, Lloyd Haydn Hughes, Michael Schmitt, Marco Körner, Xiao Xiang Zhu
Multitask Learning for Human Settlement Extent Regression and Local Climate Zone Classification. IEEE Geosci. Remote. Sens. Lett. 19 (2022)
Michael Schmitt, Jonathan Prexl, Patrick Ebel, Lukas Liebel, Xiao Xiang Zhu
Weakly Supervised Semantic Segmentation of Satellite Images for Land Cover Mapping - Challenges and Opportunities. CoRR (2020)
Sidi Wu, Lukas Liebel, Marco Körner
Derivation of Geometrically and Semantically Annotated UAV Datasets at Large Scales from 3D City Models. ICPR (2020)
Tobias Koch, Lukas Liebel, Marco Körner, Friedrich Fraundorfer
Comparison of monocular depth estimation methods using geometrically relevant metrics on the IBims-1 dataset. Comput. Vis. Image Underst. 191 (2020)
Chunping Qiu, Lukas Liebel, Lloyd H. Hughes, Michael Schmitt, Marco Körner, Xiao Xiang Zhu
Multi-task Learning for Human Settlement Extent Regression and Local Climate Zone Classification. CoRR (2020)
Lukas Liebel, Ksenia Bittner, Marco Körner
A Generalized Multi-Task Learning Approach to Stereo DSM Filtering in Urban Areas. CoRR (2020)
Lukas Liebel, Marco Körner
MultiDepth: Single-Image Depth Estimation via Multi-Task Regression and Classification. ITSC (2019)
Lukas Liebel, Marco Körner
MultiDepth: Single-Image Depth Estimation via Multi-Task Regression and Classification. CoRR (2019)
Tobias Koch, Lukas Liebel, Friedrich Fraundorfer, Marco Körner
Evaluation of CNN-based Single-Image Depth Estimation Methods. CoRR (2018)
Lukas Liebel, Marco Körner
Auxiliary Tasks in Multi-task Learning. CoRR (2018)
Tobias Koch, Lukas Liebel, Friedrich Fraundorfer, Marco Körner
Evaluation of CNN-Based Single-Image Depth Estimation Methods. ECCV Workshops (3) (2018)
Horst Steuer, Thomas Machl, Maximilian Sindram, Lukas Liebel, Thomas H. Kolbe
Voluminator - Approximating the Volume of 3D Buildings to Overcome Topological Errors. AGILE Conf. (2015)