Dimitri Korsch, M.Sc.
Dimitri Korsch
Address: Computer Vision Group
Department of Mathematics and Computer Science
Friedrich Schiller University of Jena
Ernst-Abbe-Platz 2
07743 Jena
Germany
Phone: +49 (0) 3641 9 46426
E-mail: dimitri (dot) korsch (at) uni-jena (dot) de
Room: 1223
Links:
Curriculum Vitae
Since October 2016 Research Associate at the Computer Vision Group of Friedrich Schiller University Jena
October 2013 September 2016 Master Degree in IT-Systems Engineering at Hasso-Plattner-Institute (University of Potsdam)
Master Thesis: “Rotation Estimation and Perspective Rectification of Scene Text”
December 2014 September 2016 Research assistant at Multimedia Analysis group of Hasso-Plattner-Institute. Focus: End-to-End Scene Text Recognition on Mobile Devices
October 2010 September 2013 Bachelor Degree in IT-Systems Engineering at Hasso-Plattner-Institute (University of Potsdam)
Bachelor Thesis: “Solving the Object-Relational Impedance Mismatch with a Persistent Programming Language”
Juni 2012 December 2013 Research assistant at Internet Security group of 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
2022
Automated Visual Monitoring of Nocturnal Insects with Light-based Camera Traps
Dimitri Korsch and Paul Bodesheim and Gunnar Brehm and Joachim Denzler.
CVPR Workshop on Fine-grained Visual Classification (CVPR-WS). 2022.
[bibtex] [pdf] [web] [code] [abstract]
2021
Automated Visual Large Scale Monitoring of Faunal Biodiversity
Bernd Radig and Paul Bodesheim and Dimitri Korsch and Joachim Denzler and Timm Haucke and Morris Klasen and Volker Steinhage.
Pattern Recognition and Image Analysis. pp. 477-488. 2021.
[bibtex] [pdf] [web] [abstract]
Deep Learning Pipeline for Automated Visual Moth Monitoring: Insect Localization and Species Classification
Dimitri Korsch and Paul Bodesheim and Joachim Denzler.
INFORMATIK 2021, Computer Science for Biodiversity Workshop (CS4Biodiversity). Pages 443-460. 2021.
[bibtex] [pdf] [web] [code] [abstract]
End-to-end Learning of Fisher Vector Encodings for Part Features in Fine-grained Recognition
Dimitri Korsch and Paul Bodesheim and Joachim Denzler.
German Conference on Pattern Recognition (DAGM-GCPR). Pages 142-158. 2021.
[bibtex] [pdf] [web] [code] [abstract]
Exploiting Web Images for Moth Species Classification
Julia Böhlke and Dimitri Korsch and Paul Bodesheim and Joachim Denzler.
Computer Science for Biodiversity Workshop (CS4Biodiversity), INFORMATIK 2021. Pages 481-498. 2021.
[bibtex] [pdf] [abstract]
Lightweight Filtering of Noisy Web Data: Augmenting Fine-grained Datasets with Selected Internet Images
Julia Böhlke and Dimitri Korsch and Paul Bodesheim and Joachim Denzler.
International Conference on Computer Vision Theory and Applications (VISAPP). Pages 466-477. 2021.
[bibtex] [pdf] [abstract]
2019
Classification-Specific Parts for Improving Fine-Grained Visual Categorization
Dimitri Korsch and Paul Bodesheim and Joachim Denzler.
German Conference on Pattern Recognition (GCPR). Pages 62-75. 2019.
[bibtex] [pdf] [web] [code] [abstract]
2018
In Defense of Active Part Selection for Fine-Grained Classification
Dimitri Korsch and Joachim Denzler.
Pattern Recognition and Image Analysis. 28 (4) : pp. 658-663. 2018.
[bibtex] [pdf] [web] [abstract]
2015
Finding Demand for Products in the Social Web
Philipp Berger and Patrick Hennig and Stefan Bunk and Dimitri Korsch and Daniel Kurzynski and Christoph Meinel.
IEEE International Conference on Smart City/SocialCom/SustainCom (SmartCity). Pages 432-439. 2015.
[bibtex]
2013
Implementation of a Secure and Reliable Storage Above the Untrusted Clouds
Maxim Schnjakin and Dimitri Korsch and Martin Schoenberg and Christoph Meinel.
International Conference on Computer Science \& Education (ICCSE). Pages 347-353. 2013.
[bibtex]