Dimitri Korsch, M.Sc.
Curriculum Vitae
2016 – 2023 Research Associate
Computer Vision Group, Friedrich Schiller University Jena
2013 – 2016 M. Sc. IT-Systems Engineering
Hasso-Plattner-Institute, University of Potsdam
Master Thesis: “Rotation Estimation and Perspective Rectification of Scene Text”
2014 – 2016 Research Assistant
Multimedia Analysis Group, Hasso-Plattner-Institute
Focus: End-to-End Scene Text Recognition on Mobile Devices
2010 – 2013 B. Sc. IT-Systems Engineering
Hasso-Plattner-Institute, University of Potsdam
Bachelor Thesis: “Solving the Object-Relational Impedance Mismatch with
a Persistent Programming Language”
2012 – 2013 Research Assistant
Internet Security Group, Hasso-Plattner-Institute
Focus: CloudRAID – Secure Storage in the Cloud [source code]
Research Interests
Part-based approaches for Fine-grained Visual Categorization

Fine-grained visual categorization is a classification task for distinguishing categories with high intra-class and small inter-class variance. While global approaches aim at using the whole image for performing the classification, part-based solutions gather additional local information in terms of attentions or parts. Hence, we research different part estimation approaches and part-classification methods. Besides the part estimation and part-based classification approaches, we aim to go a step further and decide which of the estimated parts contribute the most to the final classification. We call this approach the Active Part Selection because the decision should be made actively based on previously known information, like initial classification result, previously selected parts or the uncertainty of the classifier. From our point of view, Active Part Selection separates into three different steps: part estimation, part-based classification, and the actual part selection process. Hence, our work focuses on these aspects.

Publications
2023
Dimitri Korsch, Maha Shadaydeh, Joachim Denzler:
Simplified Concrete Dropout - Improving the Generation of Attribution Masks for Fine-grained Classification.
DAGM German Conference on Pattern Recognition (DAGM-GCPR). 2023.
[bibtex] [pdf] [code] [supplementary] [abstract]
2022
Dimitri Korsch, Paul Bodesheim, Gunnar Brehm, Joachim Denzler:
Automated Visual Monitoring of Nocturnal Insects with Light-based Camera Traps.
CVPR Workshop on Fine-grained Visual Classification (CVPR-WS). 2022.
[bibtex] [pdf] [web] [code] [abstract]
2021
Bernd Radig, Paul Bodesheim, Dimitri Korsch, Joachim Denzler, Timm Haucke, Morris Klasen, Volker Steinhage:
Automated Visual Large Scale Monitoring of Faunal Biodiversity.
Pattern Recognition and Image Analysis. Advances in Mathematical Theory and Applications (PRIA). 31 (3) : pp. 477-488. 2021.
[bibtex] [pdf] [web] [doi] [abstract]
Dimitri Korsch, Paul Bodesheim, Joachim Denzler:
Deep Learning Pipeline for Automated Visual Moth Monitoring: Insect Localization and Species Classification.
INFORMATIK 2021, Computer Science for Biodiversity Workshop (CS4Biodiversity). Pages 443-460. 2021.
[bibtex] [pdf] [web] [doi] [code] [abstract]
Dimitri Korsch, Paul Bodesheim, Joachim Denzler:
End-to-end Learning of Fisher Vector Encodings for Part Features in Fine-grained Recognition.
DAGM German Conference on Pattern Recognition (DAGM-GCPR). Pages 142-158. 2021.
[bibtex] [pdf] [web] [doi] [code] [abstract]
Julia Böhlke, Dimitri Korsch, Paul Bodesheim, Joachim Denzler:
Exploiting Web Images for Moth Species Classification.
Computer Science for Biodiversity Workshop (CS4Biodiversity), INFORMATIK 2021. Pages 481-498. 2021.
[bibtex] [pdf] [web] [doi] [abstract]
Julia Böhlke, Dimitri Korsch, Paul Bodesheim, Joachim Denzler:
Lightweight Filtering of Noisy Web Data: Augmenting Fine-grained Datasets with Selected Internet Images.
International Conference on Computer Vision Theory and Applications (VISAPP). Pages 466-477. 2021.
[bibtex] [pdf] [web] [doi] [abstract]
2019
Dimitri Korsch, Paul Bodesheim, Joachim Denzler:
Classification-Specific Parts for Improving Fine-Grained Visual Categorization.
DAGM German Conference on Pattern Recognition (DAGM-GCPR). Pages 62-75. 2019.
[bibtex] [pdf] [web] [doi] [code] [abstract]
2018
Dimitri Korsch, Joachim Denzler:
In Defense of Active Part Selection for Fine-Grained Classification.
Pattern Recognition and Image Analysis. Advances in Mathematical Theory and Applications (PRIA). 28 (4) : pp. 658-663. 2018.
[bibtex] [pdf] [web] [doi] [abstract]
2015
Philipp Berger, Patrick Hennig, Stefan Bunk, Dimitri Korsch, Daniel Kurzynski, Christoph Meinel:
Finding Demand for Products in the Social Web.
IEEE International Conference on Smart City/SocialCom/SustainCom (SmartCity). Pages 432-439. 2015.
[bibtex]
2013
Maxim Schnjakin, Dimitri Korsch, Martin Schoenberg, Christoph Meinel:
Implementation of a Secure and Reliable Storage Above the Untrusted Clouds.
International Conference on Computer Science \& Education (ICCSE). Pages 347-353. 2013.
[bibtex]