Dr.-Ing. Paul Bodesheim
Paul Bodesheim
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 46410
E-mail:paul (dot) bodesheim (at) uni-jena (dot) de
Room:1218
Links:DBLP, GoogleScholar, LinkedIn, ORCID, publons, ResearchGate, SemanticScholar, XING
Curriculum Vitae
 since Jun 2020
 Team Leader: “Computer Vision and Machine Learning”
Computer Vision Group, Friedrich Schiller University Jena
 Oct 2018 to May 2020
 Research Associate / Postdoc
Computer Vision Group, Friedrich Schiller University Jena
 Jan 2015 to Sep 2018
 Research Associate / Postdoc
Department Biogeochemical Integration, Max Planck Institute for Biogeochemistry
 Apr 2011 to Dec 2014
 Research Associate / PhD Student
Computer Vision Group, Friedrich Schiller University Jena
PhD Thesis: “Discovering unknown visual objects with novelty detection techniques”
 Oct 2006 to Mar 2011
 Studies in Computer Science (Diploma)
Friedrich Schiller University Jena
Focus: Digitial Image Processing / Computer Vision
Diploma Thesis: “Object Discovery – Unsupervised Learning of Object Categories”
Awards
  • Best Paper Award at Anomaly Detection Workshop of ICML 2016
    (Rodner, Barz, Guanche, Flach, Mahecha, Bodesheim, Reichstein, Denzler: “Maximally Divergent Intervals for Anomaly Detection”)
  • Best Poster Award at FEAST Workshop of ICPR 2014
    (Freytag, Rühle, Bodesheim, Rodner, Denzler: “Seeing through bag-of-visual-word glasses: towards understanding quantization effects in feature extraction methods”)
  • Best Paper Honorable Mention Award at ACCV 2012
    (Freytag, Rodner, Bodesheim, Denzler: “Rapid Uncertainty Computation with Gaussian Processes and Histogram Intersection Kernels”)
Research Interests
  • Visual Object Recognition
  • Learning from Small and Imbalanced Data
  • Fine-grained Recognition and Applications in Biodiversity Research
  • Novelty Detection and Open Set Recognition
  • Active Learning and Lifelong Learning
Projects (Third-Party Funds)
Ongoing
Former
Projects (Further)
Ongoing
Former
Reviewer Activities
Teaching
Winter Terms
Summer Terms
Supervised Theses
  • Eric Tröbs: “Klassenhierarchien im lebenslangen Lernen” (“Class Hierarchies in Lifelong Learning”). Master Thesis, 2021. (joint supervision with Clemens-Alexander Brust and Dimitri Korsch)
  • Jan Blunk: “Object Tracking in Wildlife Identification”. Bachelor Thesis, 2021. (joint supervision with Matthias Körschens)
  • Daphne Auer: “Applying Wavelet Transforms prior to Convolutional Neural Networks for Image Categorization”. Bachelor Thesis, 2020.
  • Hendrik Happe: “Aktivierungsfunktionen in neuronalen Netzen für die visuelle Objekterkennung” (“Activation Functions in Neural Networks for Visual Object Recognition”). Master Thesis, 2020. (joint supervision with Christian Reimers)
  • Frank Prüfer: “Detektion von unbekannten Objekten durch Entscheidungswälder und Gauß-Prozesse” (“Detecting Unknown Objects with Decision Forests and Gaussian Processes”). Diploma Thesis, 2013.
  • Sven Sickert: “Strategien des Aktiven Lernens” (“Strategies in Active Learning”). Diploma Thesis, 2012. (joint supervision with Alexander Freytag)
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]
Towards a multisensor station for automated biodiversity monitoring
J. Wolfgang Wägele and Paul Bodesheim and Sarah J. Bourlat and Joachim Denzler and Michael Diepenbroek and Vera Fonseca and Karl-Heinz Frommolt and Matthias F. Geiger and Birgit Gemeinholzer and Frank Oliver Glöckner and Timm Haucke and Ameli Kirse and Alexander Kölpin and Ivaylo Kostadinov and Hjalmar S. Kühl and Frank Kurth and Mario Lasseck and Sascha Liedke and Florian Losch and Sandra Müller and Natalia Petrovskaya and Krzysztof Piotrowski and Bernd Radig and Christoph Scherber and Lukas Schoppmann and Jan Schulz and Volker Steinhage and Georg F. Tschan and Wolfgang Vautz and Domenico Velotto and Maximilian Weigend and Stefan Wildermann.
Basic and Applied Ecology. 2022.
[bibtex] [web] [abstract]
Beyond Global Average Pooling: Alternative Feature Aggregations for Weakly Supervised Localization
Matthias Körschens and Paul Bodesheim and Joachim Denzler.
International Conference on Computer Vision Theory and Applications (VISAPP). Pages 180-191. 2022.
[bibtex] [pdf] [abstract]
Occlusion-Robustness of Convolutional Neural Networks via Inverted Cutout
Matthias Körschens and Paul Bodesheim and Joachim Denzler.
International Conference on Pattern Recognition (ICPR). 2022.
[bibtex] [pdf] [supplementary] [abstract]
Pre-trained models are not enough: active and lifelong learning is important for long-term visual monitoring of mammals in biodiversity research. Individual identification and attribute prediction with image features from deep neural networks and decoupled decision models applied to elephants and great apes
Paul Bodesheim and Jan Blunk and Matthias Körschens and Clemens-Alexander Brust and Christoph Käding and Joachim Denzler.
Mammalian Biology. 2022.
[bibtex] [web] [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]
Conditional Dependence Tests Reveal the Usage of ABCD Rule Features and Bias Variables in Automatic Skin Lesion Classification
Christian Reimers and Niklas Penzel and Paul Bodesheim and Jakob Runge and Joachim Denzler.
CVPR ISIC Skin Image Analysis Workshop (CVPR-WS). Pages 1810-1819. 2021.
[bibtex] [pdf] [web] [abstract]
Conditional Adversarial Debiasing: Towards Learning Unbiased Classifiers from Biased Data
Christian Reimers and Paul Bodesheim and Jakob Runge and Joachim Denzler.
DAGM German Conference on Pattern Recognition (DAGM-GCPR). Pages 48-62. 2021.
[bibtex] [abstract]
Minimizing the Annotation Effort for Detecting Wildlife in Camera Trap Images with Active Learning
Daphne Auer and Paul Bodesheim and Christian Fiderer and Marco Heurich and Joachim Denzler.
Computer Science for Biodiversity Workshop (CS4Biodiversity), INFORMATIK 2021. Pages 547-564. 2021.
[bibtex] [pdf] [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]
Automatic Plant Cover Estimation with Convolutional Neural Networks
Matthias Körschens and Paul Bodesheim and Christine Römermann and Solveig Franziska Bucher and Mirco Migliavacca and Josephine Ulrich and Joachim Denzler.
Computer Science for Biodiversity Workshop (CS4Biodiversity), INFORMATIK 2021. Pages 499-516. 2021.
[bibtex] [pdf] [abstract]
Weakly Supervised Segmentation Pretraining for Plant Cover Prediction
Matthias Körschens and Paul Bodesheim and Christine Römermann and Solveig Franziska Bucher and Mirco Migliavacca and Josephine Ulrich and Joachim Denzler.
DAGM German Conference on Pattern Recognition (DAGM-GCPR). Pages 589-603. 2021.
[bibtex] [pdf] [supplementary] [abstract]
2020
Scaling carbon fluxes from eddy covariance sites to globe: synthesis and evaluation of the FLUXCOM approach
Martin Jung and Christopher Schwalm and Mirco Migliavacca and Sophia Walther and Gustau Camps-Valls and Sujan Koirala and Peter Anthoni and Simon Besnard and Paul Bodesheim and Nuno Carvalhais and Frederic Chevallier and Fabian Gans and Daniel S. Goll and Vanessa Haverd and Philipp Köhler and Kazuhito Ichii and Atul K. Jain and Junzhi Liu and Danica Lombardozzi and Julia E.M.S. Nabel and Jacob A. Nelson and Michael O’Sullivan and Martijn Pallandt and Dario Papale and Wouter Peters and Julia Pongratz and Christian Rödenbeck and Stephen Sitch and Gianluca Tramontana and Anthony Walker and Ulrich Weber and Markus Reichstein.
Biogeosciences. 17 (5) : pp. 1343-1365. 2020.
[bibtex] [pdf] [web] [abstract]
Towards Confirmable Automated Plant Cover Determination
Matthias Körschens and Paul Bodesheim and Christine Römermann and Solveig Franziska Bucher and Josephine Ulrich and Joachim Denzler.
ECCV Workshop on Computer Vision Problems in Plant Phenotyping (CVPPP). 2020.
[bibtex] [pdf] [web] [supplementary] [abstract]
Earth system data cubes unravel global multivariate dynamics
Miguel D. Mahecha and Fabian Gans and Gunnar Brandt and Rune Christiansen and Sarah E. Cornell and Normann Fomferra and Guido Kraemer and Jonas Peters and Paul Bodesheim and Gustau Camps-Valls and Jonathan F. Donges and Wouter Dorigo and Lina M. Estupinan-Suarez and Victor H. Gutierrez-Velez and Martin Gutwin and Martin Jung and Maria C. Londono and Diego Miralles and Phillip Papastefanou and Markus Reichstein.
Earth System Dynamics. 11 (1) : pp. 201-234. 2020.
[bibtex] [pdf] [web] [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
When tree rings go global: challenges and opportunities for retro-and prospective insight
Flurin Babst and Paul Bodesheim and Noah Charney and Andrew D. Friend and Martin P. Girardin and Stefan Klesse and David J.P. Moore and Kristina Seftigen and Jesper Björklund and Olivier Bouriaud and Andria Dawson and R. Justin DeRose and Michael C. Dietze and Annemarie H. Eckes and Brian Enquist and David C. Frank and Miguel D. Mahecha and Benjamin Poulter and Sydne Record and Valerie Trouet and Rachael H. Turton and Zhen Zhang and Margaret E.K. Evans.
Quaternary Science Reviews. 197 : pp. 1-20. 2018.
[bibtex] [web] [abstract]
SMOS Vegetation Optical Depth and Ecosystem Functional Properties: Exploring Their Relationships in Tropical Forests
Gaia Vaglio Laurin and Cristina Vittucci and Gianluca Tramontana and Paul Bodesheim and Paolo Ferrazzoli and Leila Guerriero and Martin Jung and Miguel D. Mahecha and Dario Papale.
IEEE International Geoscience and Remote Sensing Symposium (IGARSS). Pages 5891-5894. 2018.
[bibtex] [pdf] [web] [abstract]
Discovering unknown visual objects with novelty detection techniques
Paul Bodesheim. 2018. Dissertation. ISBN: 978-3-8439-3546-3
[bibtex] [web] [abstract]
Upscaled diurnal cycles of land-atmosphere fluxes: a new global half-hourly data product
Paul Bodesheim and Martin Jung and Fabian Gans and Miguel D. Mahecha and Markus Reichstein.
Earth System Science Data. 10 (3) : pp. 1327-1365. 2018.
[bibtex] [pdf] [web] [abstract]
2017
Large-Scale Gaussian Process Inference with Generalized Histogram Intersection Kernels for Visual Recognition Tasks
Erik Rodner and Alexander Freytag and Paul Bodesheim and Björn Fröhlich and Joachim Denzler.
International Journal of Computer Vision (IJCV). 121 (2) : pp. 253-280. 2017.
[bibtex] [pdf] [web] [abstract]
Improved tree-ring archives will support earth-system science
Flurin Babst and Benjamin Poulter and Paul Bodesheim and Miguel D. Mahecha and David C. Frank.
Nature Ecology \& Evolution. 1 (2) : 2017.
[bibtex] [web] [abstract]
When tree rings go global: challenges and opportunities for retro- andprospective insights
Flurin Babst and Olivier Bouriaud and Benjamin Poulter and Zhen Zhang and Valerie Trouet and Margaret Evans and Noah Charney and Sydne Record and Brian Enquist and Kristina Seftigen and Jesper Björklund and Stefan Klesse and Paul Bodesheim and Miguel Mahecha and Martin Girardin and Andrew Friend and David Frank.
European Geosciences Union General Assembly (EGU): Abstract + Oral Presentation. 2017.
[bibtex] [pdf] [web] [abstract]
Multivariate anomaly detection for Earth observations: a comparison of algorithms and feature extraction techniques
Milan Flach and Fabian Gans and Alexander Brenning and Joachim Denzler and Markus Reichstein and Erik Rodner and Sebastian Bathiany and Paul Bodesheim and Yanira Guanche and Sebasitan Sippel and Miguel D. Mahecha.
Earth System Dynamics. 8 (3) : pp. 677-696. 2017.
[bibtex] [pdf] [web] [abstract]
Upscaling diurnal cycles of carbon fluxes
Paul Bodesheim and Martin Jung and Miguel D. Mahecha and Markus Reichstein.
European Geosciences Union General Assembly (EGU): Abstract + Poster Presentation. 2017.
[bibtex] [pdf] [web] [abstract]
2016
Maximally Divergent Intervals for Anomaly Detection
Erik Rodner and Björn Barz and Yanira Guanche and Milan Flach and Miguel Mahecha and Paul Bodesheim and Markus Reichstein and Joachim Denzler.
ICML Workshop on Anomaly Detection (ICML-WS). 2016. Best Paper Award
[bibtex] [pdf] [web] [code] [abstract]
Potential of new machine learning methods for understanding long-term interannual variability of carbon and energy fluxes and states from site to global scale
Markus Reichstein and Martin Jung and Paul Bodesheim and Miguel D. Mahecha and Fabian Gans and Erik Rodner and Gustau Camps-Valls and Dario Papale and Gianluca Tramontana and Joachim Denzler and Dennis D. Baldocchi.
American Geophysical Union Fall Meeting (AGU): Abstract + Oral Presentation. 2016.
[bibtex] [web] [abstract]
Using Statistical Process Control for detecting anomalies in multivariate spatiotemporal Earth Observations
Milan Flach and Miguel Mahecha and Fabian Gans and Erik Rodner and Paul Bodesheim and Yanira Guanche-Garcia and Alexander Brenning and Joachim Denzler and Markus Reichstein.
European Geosciences Union General Assembly (EGU): Abstract + Oral Presentation. 2016.
[bibtex] [pdf] [web] [abstract]
Hot spots of multivariate extreme anomalies in Earth observations
Milan Flach and Sebastian Sippel and Paul Bodesheim and Alexander Brenning and Joachim Denzler and Fabian Gans and Yanira Guanche and Markus Reichstein and Erik Rodner and Miguel D. Mahecha.
American Geophysical Union Fall Meeting (AGU): Abstract + Oral Presentation. 2016.
[bibtex] [web] [abstract]
Diagnosing the Dynamics of Observed and Simulated Ecosystem Gross Primary Productivity with Time Causal Information Theory Quantifiers
Sebastian Sippel and Holger Lange and Miguel D. Mahecha and Michael Hauhs and Paul Bodesheim and Thomas Kaminski and Fabian Gans and Osvaldo A. Rosso.
PLOS ONE. 11 (10) : pp. 1-29. 2016.
[bibtex] [pdf] [web] [abstract]
2015
Active Learning and Discovery of Object Categories in the Presence of Unnameable Instances
Christoph Käding and Alexander Freytag and Erik Rodner and Paul Bodesheim and Joachim Denzler.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Pages 4343-4352. 2015.
[bibtex] [pdf] [web] [code] [presentation] [supplementary] [abstract]
Ranking drivers of global carbon and energy fluxes over land
Gustau Camps-Valls and Martin Jung and Kazuhito Ichii and Dario Papale and Gianluca Tramontana and Paul Bodesheim and Christopher Schwalm and Jakob Zscheischler and Miguel D. Mahecha and Markus Reichstein.
IEEE International Geoscience and Remote Sensing Symposium (IGARSS). Pages 4416-4419. 2015.
[bibtex] [pdf] [web] [abstract]
Local Novelty Detection in Multi-class Recognition Problems
Paul Bodesheim and Alexander Freytag and Erik Rodner and Joachim Denzler.
IEEE Winter Conference on Applications of Computer Vision (WACV). Pages 813-820. 2015.
[bibtex] [pdf] [web] [supplementary] [abstract]
2014
Seeing through bag-of-visual-word glasses: towards understanding quantization effects in feature extraction methods
Alexander Freytag and Johannes Rühle and Paul Bodesheim and Erik Rodner and Joachim Denzler.
ICPR Workshop on Features and Structures (FEAST): Extended Abstract + Poster Presentation. 2014. Best Poster Award
[bibtex] [pdf] [code] [presentation]
Seeing through bag-of-visual-word glasses: towards understanding quantization effects in feature extraction methods
Alexander Freytag and Johannes Rühle and Paul Bodesheim and Erik Rodner and Joachim Denzler. 2014. Technical Report TR-FSU-INF-CV-2014-01
[bibtex] [pdf] [code] [abstract]
Temporal Video Segmentation by Event Detection: A Novelty Detection Approach
Mahesh Venkata Krishna and Paul Bodesheim and Marco Körner and Joachim Denzler.
Pattern Recognition and Image Analysis. Advances in Mathematical Theory and Applications (PRIA). 24 (2) : pp. 243-255. 2014.
[bibtex] [pdf] [web] [abstract]
2013
Labeling examples that matter: Relevance-Based Active Learning with Gaussian Processes
Alexander Freytag and Erik Rodner and Paul Bodesheim and Joachim Denzler.
German Conference on Pattern Recognition (GCPR). Pages 282-291. 2013.
[bibtex] [pdf] [web] [code] [supplementary] [abstract]
Beyond the closed-world assumption: The importance of novelty detection and open set recognition
Joachim Denzler and Erik Rodner and Paul Bodesheim and Alexander Freytag.
GCPR/DAGM Workshop on Unsolved Problems in Pattern Recognition and Computer Vision (GCPR-WS): Extended Abstract + Oral Presentation. 2013.
[bibtex] [pdf] [web]
Video Segmentation by Event Detection: A Novel One-class Classification Approach
Mahesh Venkata Krishna and Paul Bodesheim and Joachim Denzler.
4th International Workshop on Image Mining. Theory and Applications (IMTA-4). 2013.
[bibtex] [pdf] [abstract]
An Efficient Approximation for Gaussian Process Regression
Paul Bodesheim and Alexander Freytag and Erik Rodner and Joachim Denzler. 2013. Technical Report TR-FSU-INF-CV-2013-01
[bibtex] [pdf]
Approximations of Gaussian Process Uncertainties for Visual Recognition Problems
Paul Bodesheim and Alexander Freytag and Erik Rodner and Joachim Denzler.
Scandinavian Conference on Image Analysis (SCIA). Pages 182-194. 2013.
[bibtex] [pdf] [web] [abstract]
Kernel Null Space Methods for Novelty Detection
Paul Bodesheim and Alexander Freytag and Erik Rodner and Michael Kemmler and Joachim Denzler.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Pages 3374-3381. 2013.
[bibtex] [pdf] [web] [code] [presentation] [abstract]
2012
Beyond Classification - Large-scale Gaussian Process Inference and Uncertainty Prediction
Alexander Freytag and Erik Rodner and Paul Bodesheim and Joachim Denzler.
Big Data Meets Computer Vision: First International Workshop on Large Scale Visual Recognition and Retrieval (NIPS-WS). 2012. This workshop article is a short version of our ACCV 2012 paper.
[bibtex] [pdf] [abstract]
Rapid Uncertainty Computation with Gaussian Processes and Histogram Intersection Kernels
Alexander Freytag and Erik Rodner and Paul Bodesheim and Joachim Denzler.
Asian Conference on Computer Vision (ACCV). Pages 511-524. 2012. Best Paper Honorable Mention Award
[bibtex] [pdf] [web] [presentation] [abstract]
Large-Scale Gaussian Process Classification with Flexible Adaptive Histogram Kernels
Erik Rodner and Alexander Freytag and Paul Bodesheim and Joachim Denzler.
European Conference on Computer Vision (ECCV). Pages 85-98. 2012.
[bibtex] [pdf] [web] [supplementary] [abstract]
Divergence-Based One-Class Classification Using Gaussian Processes
Paul Bodesheim and Erik Rodner and Alexander Freytag and Joachim Denzler.
British Machine Vision Conference (BMVC). Pages 50.1-50.11. 2012.
[bibtex] [pdf] [web] [presentation] [abstract]
2011
Spectral Clustering of ROIs for Object Discovery
Paul Bodesheim.
Annual Symposium of the German Association for Pattern Recognition (DAGM). Pages 450-455. 2011.
[bibtex] [pdf] [web] [abstract]