Towards Automatic Identification of Elephants in the Wild. - Matthias Körschens; Björn Barz; Joachim Denzler (CoRR, 2018)

ELPephants: A Fine-Grained Dataset for Elephant Re-Identification. - Matthias Körschens; Joachim Denzler (ICCV Workshops, 2019)

Towards Confirmable Automated Plant Cover Determination. - Matthias Körschens; Paul Bodesheim; Christine Römermann; Solveig Franziska Bucher; Josephine Ulrich; Joachim Denzler (ECCV Workshops (6), 2020)

Weakly Supervised Segmentation Pretraining for Plant Cover Prediction. - Matthias Körschens; Paul Bodesheim; Christine Römermann; Solveig Franziska Bucher; Mirco Migliavacca; Josephine Ulrich; Joachim Denzler (GCPR, 2021)

Automatic Plant Cover Estimation with Convolutional Neural Networks. - Matthias Körschens; Paul Bodesheim; Christine Römermann; Solveig Franziska Bucher; Mirco Migliavacca; Josephine Ulrich; Joachim Denzler (GI-Jahrestagung, 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)

Occlusion-Robustness of Convolutional Neural Networks via Inverted Cutout. - Matthias Körschens; Paul Bodesheim; Joachim Denzler (ICPR, 2022)

Beyond Global Average Pooling: Alternative Feature Aggregations for Weakly Supervised Localization. - Matthias Körschens; Paul Bodesheim; Joachim Denzler (VISIGRAPP (4: VISAPP), 2022)

Improving Data Efficiency for Plant Cover Prediction with Label Interpolation and Monte-Carlo Cropping. - Matthias Körschens; Solveig Franziska Bucher; Christine Römermann; Joachim Denzler (DAGM, 2023)

Unified Automatic Plant Cover and Phenology Prediction. - Matthias Körschens; Solveig Franziska Bucher; Christine Römermann; Joachim Denzler (ICCV (Workshops), 2023)

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)