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Laura Zabawa
Laura Zabawa
PhD Candidate and Research Assistant, University of Bonn
Bestätigte E-Mail-Adresse bei igg.uni-bonn.de - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
1052020
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
542019
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
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
132022
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
82022
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
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
42022
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
32020
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
12021
Detection and counting of wheat ears by means of ground-based image acquisition.
J Kierdorf, L Zabawa, L Lucks, L Klingbeil, H Kuhlmann
Bornimer Agrartechnische Berichte, 158-167, 2019
12019
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, ...
Bornimer Agrartechnische Berichte, 15-20, 2019
2019
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