| 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 | 35 | 2020 |
| 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 | 27 | 2022 |
| 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 | 25 | 2021 |
| 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 | 7 | 2020 |
| 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 | 3 | 2022 |
| 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 | 3 | 2018 |
| 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 | 2 | 2022 |
| Sparse representation-based archetypal graphs for spectral clustering R Roscher, L Drees, S Wenzel 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2017 | 2 | 2017 |
| 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 | 1 | 2022 |
| 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 |
Ribana RoscherResearch Center Jülich and University of BonnVahvistettu sähköpostiosoite verkkotunnuksessa fz-juelich.de
