Paul Bodesheim

ORCID

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 25

Top Venues

University of Jena, Germany (PHD)

Education History

University of Jena, Germany

PHD

Publications

Matthias Körschens, Solveig Franziska Bucher, Paul Bodesheim, Josephine Ulrich, Joachim Denzler, Christine Römermann
Determining the community composition of herbaceous species from images using convolutional neural networks. Ecol. Informatics 80 (2024)
Dimitri Korsch, Paul Bodesheim, Gunnar Brehm, Joachim Denzler
Automated Visual Monitoring of Nocturnal Insects with Light-based Camera Traps. CoRR (2023)
Dimitri Korsch, Paul Bodesheim, Joachim Denzler
Deep Learning Pipeline for Automated Visual Moth Monitoring: Insect Localization and Species Classification. CoRR (2023)
Jan Blunk, Niklas Penzel, Paul Bodesheim, Joachim Denzler
Beyond Debiasing: Actively Steering Feature Selection via Loss Regularization. DAGM (2023)
Matthias Körschens, Paul Bodesheim, Joachim Denzler
Beyond Global Average Pooling: Alternative Feature Aggregations for Weakly Supervised Localization. VISIGRAPP (4: VISAPP) (2022)
Niklas Penzel, Christian Reimers, Paul Bodesheim, Joachim Denzler
Investigating Neural Network Training on a Feature Level Using Conditional Independence. ECCV Workshops (6) (2022)
Matthias Körschens, Paul Bodesheim, Joachim Denzler
Occlusion-Robustness of Convolutional Neural Networks via Inverted Cutout. ICPR (2022)
Christian Reimers, Niklas Penzel, Paul Bodesheim, Jakob Runge, Joachim Denzler
Conditional Dependence Tests Reveal the Usage of ABCD Rule Features and Bias Variables in Automatic Skin Lesion Classification. CVPR Workshops (2021)
Dimitri Korsch, Paul Bodesheim, Joachim Denzler
Deep Learning Pipeline for Automated Visual Moth Monitoring: Insect Localization and Species Classification. GI-Jahrestagung (2021)
Matthias Körschens, Paul Bodesheim, Christine Römermann, Solveig Franziska Bucher, Mirco Migliavacca, Josephine Ulrich, Joachim Denzler
Automatic Plant Cover Estimation with Convolutional Neural Networks. GI-Jahrestagung (2021)
Christian Reimers, Paul Bodesheim, Jakob Runge, Joachim Denzler
Conditional Adversarial Debiasing: Towards Learning Unbiased Classifiers from Biased Data. GCPR (2021)
Matthias Körschens, Paul Bodesheim, Christine Römermann, Solveig Franziska Bucher, Mirco Migliavacca, Josephine Ulrich, Joachim Denzler
Automatic Plant Cover Estimation with Convolutional Neural Networks. CoRR (2021)
Daphne Auer, Paul Bodesheim, Christian Fiderer, Marco Heurich, Joachim Denzler
Minimizing the Annotation Effort for Detecting Wildlife in Camera Trap Images with Active Learning. GI-Jahrestagung (2021)
Julia Böhlke, Dimitri Korsch, Paul Bodesheim, Joachim Denzler
Lightweight Filtering of Noisy Web Data: Augmenting Fine-grained Datasets with Selected Internet Images. VISIGRAPP (5: VISAPP) (2021)
Dimitri Korsch, Paul Bodesheim, Joachim Denzler
End-to-End Learning of Fisher Vector Encodings for Part Features in Fine-Grained Recognition. GCPR (2021)
Christian Reimers, Paul Bodesheim, Jakob Runge, Joachim Denzler
Towards Learning an Unbiased Classifier from Biased Data via Conditional Adversarial Debiasing. CoRR (2021)
Matthias Körschens, Paul Bodesheim, Christine Römermann, Solveig Franziska Bucher, Mirco Migliavacca, Josephine Ulrich, Joachim Denzler
Weakly Supervised Segmentation Pretraining for Plant Cover Prediction. GCPR (2021)
Julia Böhlke, Dimitri Korsch, Paul Bodesheim, Joachim Denzler
Exploiting Web Images for Moth Species Classification. GI-Jahrestagung (2021)
Dimitri Korsch, Paul Bodesheim, Joachim Denzler
End-to-end Learning of a Fisher Vector Encoding for Part Features in Fine-grained Recognition. CoRR (2020)
Matthias Körschens, Paul Bodesheim, Christine Römermann, Solveig Franziska Bucher, Josephine Ulrich, Joachim Denzler
Towards Confirmable Automated Plant Cover Determination. ECCV Workshops (6) (2020)
Dimitri Korsch, Paul Bodesheim, Joachim Denzler
Classification-Specific Parts for Improving Fine-Grained Visual Categorization. CoRR (2019)
Dimitri Korsch, Paul Bodesheim, Joachim Denzler
Classification-Specific Parts for Improving Fine-Grained Visual Categorization. GCPR (2019)
Gaia Vaglio Laurin, Cristina Vittucci, Gianluca Tramontana, Paul Bodesheim, Paolo Ferrazzoli, Leila Guerriero, Martin Jung, Miguel D. Mahecha, Dario Papale
SMOS Vegetation Optical Depth and Ecosystem Functional Properties: Exploring Their Relationships in Tropical Forests. IGARSS (2018)
Erik Rodner, Alexander Freytag, Paul Bodesheim, Björn Fröhlich, Joachim Denzler
Large-Scale Gaussian Process Inference with Generalized Histogram Intersection Kernels for Visual Recognition Tasks. Int. J. Comput. Vis. 121 (2) (2017)
Erik Rodner, Björn Barz, Yanira Guanche, Milan Flach, Miguel D. Mahecha, Paul Bodesheim, Markus Reichstein, Joachim Denzler
Maximally Divergent Intervals for Anomaly Detection. CoRR (2016)
Gustau Camps-Valls, Martin Jung, Kazuhito Ichii, Dario Papale, Gianluca Tramontana, Paul Bodesheim, Christopher R. Schwalm, Jakob Zscheischler, Miguel D. Mahecha, Markus Reichstein
Ranking drivers of global carbon and energy fluxes over land. IGARSS (2015)
Christoph Käding, Alexander Freytag, Erik Rodner, Paul Bodesheim, Joachim Denzler
Active learning and discovery of object categories in the presence of unnameable instances. CVPR (2015)
Paul Bodesheim, Alexander Freytag, Erik Rodner, Joachim Denzler
Local Novelty Detection in Multi-class Recognition Problems. WACV (2015)
Alexander Freytag, Johannes Rühle, Paul Bodesheim, Erik Rodner, Joachim Denzler
Seeing through bag-of-visual-word glasses: towards understanding quantization effects in feature extraction methods. CoRR (2014)
Paul Bodesheim, Alexander Freytag, Erik Rodner, Joachim Denzler
Approximations of Gaussian Process Uncertainties for Visual Recognition Problems. SCIA (2013)
Alexander Freytag, Erik Rodner, Paul Bodesheim, Joachim Denzler
Labeling Examples That Matter: Relevance-Based Active Learning with Gaussian Processes. GCPR (2013)
Paul Bodesheim, Alexander Freytag, Erik Rodner, Michael Kemmler, Joachim Denzler
Kernel Null Space Methods for Novelty Detection. CVPR (2013)
Erik Rodner, Alexander Freytag, Paul Bodesheim, Joachim Denzler
Large-Scale Gaussian Process Classification with Flexible Adaptive Histogram Kernels. ECCV (4) (2012)
Alexander Freytag, Erik Rodner, Paul Bodesheim, Joachim Denzler
Rapid Uncertainty Computation with Gaussian Processes and Histogram Intersection Kernels. ACCV (2) (2012)
Paul Bodesheim, Erik Rodner, Alexander Freytag, Joachim Denzler
Divergence-Based One-Class Classification Using Gaussian Processes. BMVC (2012)
Paul Bodesheim
Spectral Clustering of ROIs for Object Discovery. DAGM-Symposium (2011)

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Publication Activity (10 Years)

Top Topics

Top Venues

Paul Bodesheim