| Counting of grapevine berries in images via semantic segmentation using convolutional neural networks L Zabawa, A Kicherer, L Klingbeil, R Töpfer, H Kuhlmann, R Roscher ISPRS Journal of Photogrammetry and Remote Sensing 164, 73-83, 2020 | 108 | 2020 |
| Detection of single grapevine berries in images using fully convolutional neural networks L Zabawa, A Kicherer, L Klingbeil, A Milioto, R Topfer, H Kuhlmann, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 58 | 2019 |
| 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 | 30 | 2022 |
| Transfer learning from synthetic in-vitro soybean pods dataset for in-situ segmentation of on-branch soybean pods S Yang, L Zheng, X Chen, L Zabawa, M Zhang, M Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 14 | 2022 |
| Image-based analysis of yield parameters in viticulture L Zabawa, A Kicherer, L Klingbeil, R Töpfer, R Roscher, H Kuhlmann Biosystems Engineering 218, 94-109, 2022 | 9 | 2022 |
| Detection of anomalous grapevine berries using variational autoencoders M Miranda, L Zabawa, A Kicherer, L Strothmann, U Rascher, R Roscher Frontiers in plant science 13, 729097, 2022 | 5 | 2022 |
| Automatic differentiation of damaged and unharmed grapes using rgb images and convolutional neural networks J Bömer, L Zabawa, P Sieren, A Kicherer, L Klingbeil, U Rascher, ... Computer Vision–ECCV 2020 Workshops: Glasgow, UK, August 23–28, 2020 …, 2020 | 4 | 2020 |
| Automated Surface Area Estimation of Plants based on 3D Point Clouds L Zabawa, L Zabawa, F Esser, L Klingbeil, H Kuhlmann 7th workshop on Computer Vision in Plant Phenotyping and Agriculture at ICCV, 2021 | 1 | 2021 |
| Detection and counting of wheat ears by means of ground-based image acquisition. J Kierdorf, L Zabawa, L Lucks, L Klingbeil, H Kuhlmann | 1 | 2019 |
| UAV-based individual plant detection and geometric parameter extraction in vineyards M Cantürk, L Zabawa, D Pavlic, A Dreier, L Klingbeil, H Kuhlmann Frontiers in Plant Science 14, 1244384, 2023 | | 2023 |
| Contributions to Image-based High-throughput Phenotyping in Viticulture L Zabawa Universitäts-und Landesbibliothek Bonn, 2023 | | 2023 |
| Development of multilevel monitoring systems for the identification of phytoplasma diseases in German viticultural areas B Jarausch, E Alisaac, P Schumacher, P Gauweiler, R Gruna, L Zabawa, ... Phytopathogenic Mollicutes 13 (1), 133-134, 2023 | | 2023 |
| IPAS: Neue Anbausysteme für einen nachhaltigen Weinbau (NoViSys), Teilprojekt H: Veröffentlichung der Ergebnisse von Forschungsvorhaben im BMBF-Programm: Projektlaufzeit: 01.02 … H Kuhlmann, L Klingbeil, L Zabawa Rheinische Friedrich-Wilhelms-Universität Bonn, 2020 | | 2020 |
| Detection of grapevine in images using fully convolutional Neural Nets. L Zabawa, A Kicherer, L Klingbeil, A Milioto, R Roscher, R Töpfer, ... | | 2019 |
Heiner KuhlmannProfessor of Geodesy, University of Bonn在 uni-bonn.de 的电子邮件经过验证
