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Lukas Drees
Lukas Drees
Bestätigte E-Mail-Adresse bei uni-bonn.de - Startseite
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Zitiert von
Zitiert von
Jahr
SemCity Toulouse: A benchmark for building instance segmentation in satellite images
R Roscher, M Volpi, C Mallet, L Drees, JD Wegner
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2020
362020
Behind the leaves: Estimation of occluded grapevine berries with conditional generative adversarial networks
J Kierdorf, I Weber, A Kicherer, L Zabawa, L Drees, R Roscher
Frontiers in artificial intelligence 5, 830026, 2022
272022
Temporal prediction and evaluation of Brassica growth in the field using conditional generative adversarial networks
L Drees, LV Junker-Frohn, J Kierdorf, R Roscher
Computers and Electronics in Agriculture 190, 106415, 2021
272021
Multi-Modal Deep Learning with Sentinel-3 Observations for the Detection of Oceanic Internal Waves
L Drees, J Kusche, R Roscher
ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information …, 2020
72020
Behind the leaves—Estimation of occluded grapevine berries with conditional generative adversarial networks. arXiv 2021
J Kierdorf, I Weber, A Kicherer, L Zabawa, L Drees, R Roscher
arXiv preprint arXiv:2105.10325, 0
5
Time dependent image generation of plants from incomplete sequences with cnn-transformer
L Drees, I Weber, M Rußwurm, R Roscher
DAGM German Conference on Pattern Recognition, 495-510, 2022
42022
Probabilistic Biomass Estimation with Conditional Generative Adversarial Networks
J Leonhardt, L Drees, P Jung, R Roscher
DAGM German Conference on Pattern Recognition, 479-494, 2022
32022
Controlled multi-modal image generation for plant growth modeling
M Miranda, L Drees, R Roscher
2022 26th International Conference on Pattern Recognition (ICPR), 5118-5124, 2022
32022
Archetypal analysis for sparse representation-based hyperspectral sub-pixel quantification
L Drees, R Roscher, S Wenzel
Photogrammetric Engineering & Remote Sensing 84 (5), 279-286, 2018
32018
Sparse representation-based archetypal graphs for spectral clustering
R Roscher, L Drees, S Wenzel
2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2017
22017
Data-driven Crop Growth Simulation on Time-varying Generated Images using Multi-conditional Generative Adversarial Networks
L Drees, DT Demie, MR Paul, J Leonhardt, SJ Seidel, TF Döring, ...
arXiv preprint arXiv:2312.03443, 2023
2023
Leveraging Bioclimatic Context for Supervised and Self-supervised Land Cover Classification
J Leonhardt, L Drees, J Gall, R Roscher
DAGM German Conference on Pattern Recognition, 227-242, 2023
2023
Einführung in die künstliche Intelligenz und das maschinelle Lernen
R Roscher, L Drees
Künstliche Intelligenz in Geodäsie und Geoinformatik, Wilfried Grunau (Hrsg …, 2022
2022
Semantic UAV Image Segmentation of Mixed Cropping Fields
Q Marashdeh, L Drees, R Roscher
Dreiländertagung der DGPF, der OVG und der SGPF in Dresden - Publikationen …, 2022
2022
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