M.Sc. Laura Zabawa
Wissenschaftliche Mitarbeiterin
Institut für Geodäsie und Geoinformation
Professur für Geodäsie
Nußallee 17 |
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Teaching
BSc Geodesy and Geoinformation
- Vorlesung zu Geodätisches Rechnen (1.+2. Semester)
- Praktikum zu Geodätische Messtechnik (2. Semester)
- Seminar zu GNSS, Ingenieurgeodäsie und Geodätische Punktfelder (6. Semester)
- Bachelor Thesis (6. Semester)
MSc Geodesy and Geoinformation
- Master Projects (2.+3. Semester)
- Block Module (3. Semester)
- Master Thesis (4. Semester)
MSc Crop Science
- Mandatory selective modules (1.-3. Semester)
Scientific Interests
- NoViSys (Novel viticulture systems for sustainable production and products)
- PhytoMo (Entwicklung von Monitoringverfahren (Luft, Boden) zur Identifizierung von Phytoplasmosen in Weinbauflächen mit Blick auf den Quarantäneschaderreger Flavescence dorée Phytoplasma)
- Image Interpretation und Classification with agricultural background
Publications
2022
- Kierdorf J, Weber I, Kicherer A, Zabawa L, Drees L, Roscher R (2022) Behind the Leaves: Estimation of Occluded Grapevine Berries with Conditional Generative Adversarial Networks, Frontiers in Artificial Intelligence, Vol. 5
- Zabawa L, Kicherer A, Klingbeil L, Töpfer R, Roscher R, Kuhlmann H (2022) Image-based analysis of yield parameters in viticulture, Biosystems Engineering, Vol. 218: 94-109
- Miranda M, Zabawa L, Kicherer A, Strothmann L, Rascher U, Roscher R (2022) Detection of Anomalous Grapevine Berries Using Variational Autoencoders, Frontiers in Plant Science, 13:729097
- Yang S, Zheng L, Chen X, Zabawa L, Zhang M, Wang M (2022) Transfer Learning from Synthetic In-vitro Soybean Pods Dataset for In-situ Segmentation of On-branch Soybean Pod, The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshop Vision for Agriculture, 19-24 June 2022 pp. 1666-1675
2021
- Zabawa L.M, Zabawa L, Esser F, Klingbeil L, Kuhlmann H (2021) Automated Surface Area Estimation of Plants based on 3D Point Clouds, International Conference on Computer Vision (ICCV), Workshop CPPA, 11-17 October 2021
2020
- Zabawa L, Kicherer A, Klingbeil L, Roscher R, Töpfer R, Kuhlmann, H (2019) Counting of grapevine berries in images via semantic segmentation using convolutional neural networks, ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 164, pp. 73-83
- Bömer J, Zabawa L, Sieren P, Kicherer A, Klingbeil L, Rascher U, Muller O, Kuhlmann H, Roscher R (2020) Automatic Differentiation of Damaged and Unharmed Grapes Using RGB Images and Convolutional Neural Networks, European Conference on Computer Vision (ECCV), Workshop CVPPP, 23-28 August 2020
2019
- Zabawa L, Kicherer A, Klingbeil L, Milioto A, Roscher R, Töpfer R, Kuhlmann, H (2019) Detektion von Weintrauben in Bildern mit Hilfe von Fully Convolutional Neural Nets, 25. Workshop Computer-Bildanalyse in der Landwirtschaft. 17. April 2019, Bonn. Bornimer Agrartechnische Berichte ; Heft 102: 15-20
- Kierdorf J, Zabawa L, Lucks L, Klingbeil L, Kuhlmann H (2019) Erkennung und Zählung von Weizenähren mit Hilfe bodengestützten Bildaufnahmen, 25. Workshop Computer-Bildanalyse in der Landwirtschaft. 17. April 2019, Bonn. Bornimer Agrartechnische Berichte ; Heft 102: 158-167
- Zabawa L, Kicherer A, Klingbeil L, Milioto A, Toepfer R, Kuhlmann H, Roscher R (2019) Detection of single grapevine berries in images using fully convolutional neural networks, The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshop CVPPP, 16-20 June 2019
Presentations & Posters
2022
- Zabawa L, Cantürk M, Klingbeil L, Kuhlmann H (2022) 3D description of vineyard characteristics based on UAV-images, 7th International Plant Phenotyping Symposium (IPPS2022), 26-30 September 2022, Wageningen
2020
- Bömer J, Zabawa L, Sieren P, Kicherer A, Klingbeil L, Rascher U, Muller O, Kuhlmann H, Roscher R (2020) Automatic Differentiation of Damaged and Unharmed Grapes Using RGB Images and Convolutional Neural Networks, European Conference on Computer Vision (ECCV), Workshop CVPPP, 23-28 August 2020
2019
- Zabawa L, Kicherer A, Klingbeil L, Milioto A, Roscher R, Töpfer R, Kuhlmann, H (2019) Detektion von Weintrauben in Bildern mit Hilfe von Fully Convolutional Neural Nets, 25. Workshop Computer-Bildanalyse in der Landwirtschaft. 17. April 2019, Bonn.
- Zabawa L, Kicherer A, Klingbeil L, Toepfer R, Kuhlmann H, Roscher R (2020) Detection of single grapevine berries in images using fully convolutional neural networks, The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 16-20 June 2019, Long Beach
Datasets
2021
- Zabawa L, Kicherer A (2021) Segmentation of wine berries, OpenAgrar Repository, https://doi.org/10.5073/20210308-154150