Kleinwalsertal

Matthias Körschens

Institute of Ecology and Evolution | Professorship of Biodiversity of Plants​
Kleinwalsertal
Image: Christine Römermann
Institute of Ecology and Evolution
|
Professorship of Biodiversity of Plants​
Matthias Körschens
PhD student
Matthias Körschens
Otto-Renner-Villa, Room 105
Philosophenweg 16
07743 Jena

Research interests

  • Deep learning
  • Finegrained Classification & Detection
  • Unified Networks
  • Self-Supervised Learning
  • Weakly Supervised Learning
Curriculum vitae
Since April 2019 PhD Student & research associate at the group Profesorship of Biodiversity of Plants of the FSU Jena
08/2018 – 03/2019 Scientific Assistant at the Computer Vision Group of the FSU Jena
05/2018 Master Thesis with title: "Identification in Wildlife Monitoring"
04/2016 – 05/2018 Master Student in Computer Science at the Friedrich Schiller University Jena
02/2016 Bachelor Thesis with title "Simulation eines kapazitiven Sensors zur Geometriebestimmung und -bewertung eines Katheters"
09/2012 – 02/2016 Bachelor Student in Computer Science at Hochschule Harz in Wernigerode
07/2012 Abitur at the Domgymnasium Merseburg

Publications

  • Körschens, M., Bodesheim, P., & Denzler, J. (2022). Beyond Global Average Pooling: Alternative Feature Aggregations for Weakly Supervised Localization. Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP, 180-191. DOI: 10.5220/0010871700003124.
  • Körschens, M., Bodesheim, P., Römermann, C., Bucher, S.F., Migliavacca, M., Ulrich, J., Denzler, J. (2021) Weakly Supervised Segmentation Pretraining for Plant Cover Prediction. In: Bauckhage C., Gall J., Schwing A. (eds) Pattern Recognition. DAGM GCPR 2021. Lecture Notes in Computer Science, vol 13024. Springer, Cham. https://doi.org/10.1007/978-3-030-92659-5_38
  • Körschens, M., Bodesheim, P., Römermann, C., Bucher, S.F., Migliavacca, M., Ulrich, J., Denzler, J. (2021) Automatic Plant Cover Estimation with Convolutional Neural Networks, CS4BioDiversity Workshop der INFORMATIK2021
  • Körschens, M., Bodesheim, P., Römermann, C., Bucher, S.F., Ulrich, J., Denzler, J. (2020) Towards Confirmable Automated Plant Cover Determination. In: Bartoli A., Fusiello A. (eds) Computer Vision – ECCV 2020 Workshops. ECCV 2020. Lecture Notes in Computer Science, vol 12540. Springer, Cham. https://doi.org/10.1007/978-3-030-65414-6_22
  • Körschens, M., Denzler, J. (2019) ELPephants: A Fine-Grained Dataset for Elephant Re-Identification. The IEEE International Conference on Computer Vision (ICCV) Workshop
  • Körschens, M., Barz, B., Denzler J. (2018) Towards Automatic Identification of Elephants in the Wild, AI for Wildlife Conservation Workshop (AIWC).

Conference contributions

  • Körschens, M., Römermann, C., Bucher, S. F., Ulrich, J., Denzler, J. (2019) Deep Learning Approaches for Automatic Analysis of Plant Species and Cover Determination. iDiv-Konferenz Leipzig & GfÖ Jahrestagung Münster, Poster
  • Körschens M., Barz B., Denzler, J. (2018) Towards Automatic Identification of Elephants in the Wild. ICEI 2018, Jena, Poster