Matthias Körschens

According to our database, Matthias Körschens authored at least 12 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

PlantCAPNet: A deep learning system for image-based plant cover and phenology analysis.

Matthias Körschens, Solveig Franziska Bucher, Paul Bodesheim, Joachim Denzler, Christine Römermann

Ecol. Informatics, 2025

2024

Determining the community composition of herbaceous species from images using convolutional neural networks.

Matthias Körschens, Solveig Franziska Bucher, Paul Bodesheim, Josephine Ulrich, Joachim Denzler, Christine Römermann

Ecol. Informatics, 2024

2023

Unified Automatic Plant Cover and Phenology Prediction.

Matthias Körschens, Solveig Franziska Bucher, Christine Römermann, Joachim Denzler

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Improving Data Efficiency for Plant Cover Prediction with Label Interpolation and Monte-Carlo Cropping.

Matthias Körschens, Solveig Franziska Bucher, Christine Römermann, Joachim Denzler

Proceedings of the Pattern Recognition - 45th DAGM German Conference, 2023

2022

Beyond Global Average Pooling: Alternative Feature Aggregations for Weakly Supervised Localization.

Matthias Körschens, Paul Bodesheim, Joachim Denzler

Proceedings of the 17th International Joint Conference on Computer Vision, 2022

Occlusion-Robustness of Convolutional Neural Networks via Inverted Cutout.

Matthias Körschens, Paul Bodesheim, Joachim Denzler

Proceedings of the 26th International Conference on Pattern Recognition, 2022

2021

Domain Adaptation and Active Learning for Fine-Grained Recognition in the Field of Biodiversity.

Bernd Gruner, Matthias Körschens, Björn Barz, Joachim Denzler

CoRR, 2021

Automatic Plant Cover Estimation with Convolutional Neural Networks.

Matthias Körschens, Paul Bodesheim, Christine Römermann, Solveig Franziska Bucher, Mirco Migliavacca, Josephine Ulrich, Joachim Denzler

Proceedings of the 51. Jahrestagung der Gesellschaft für Informatik, INFORMATIK 2021 - Computer Science & Sustainability, Berlin, Germany, 27. September, 2021

Weakly Supervised Segmentation Pretraining for Plant Cover Prediction.

Matthias Körschens, Paul Bodesheim, Christine Römermann, Solveig Franziska Bucher, Mirco Migliavacca, Josephine Ulrich, Joachim Denzler

Proceedings of the Pattern Recognition - 43rd DAGM German Conference, DAGM GCPR 2021, Bonn, Germany, September 28, 2021

2020

Towards Confirmable Automated Plant Cover Determination.

Matthias Körschens, Paul Bodesheim, Christine Römermann, Solveig Franziska Bucher, Josephine Ulrich, Joachim Denzler

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

2019

ELPephants: A Fine-Grained Dataset for Elephant Re-Identification.

Matthias Körschens, Joachim Denzler

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

2018

Towards Automatic Identification of Elephants in the Wild.

Matthias Körschens, Björn Barz, Joachim Denzler

CoRR, 2018