Paul Bodesheim

According to our database, Paul Bodesheim authored at least 33 papers between 2011 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Automated Visual Monitoring of Nocturnal Insects with Light-based Camera Traps.

Dimitri Korsch, Paul Bodesheim, Gunnar Brehm, Joachim Denzler

CoRR, 2023

Beyond Debiasing: Actively Steering Feature Selection via Loss Regularization.

Jan Blunk, Niklas Penzel, Paul Bodesheim, Joachim Denzler

Proceedings of the Pattern Recognition - 45th DAGM German Conference, 2023

2022

Beyond Global Average Pooling: Alternative Feature Aggregations for Weakly Supervised Localization.

Matthias Körschens, Paul Bodesheim, Joachim Denzler

Proceedings of the 17th International Joint Conference on Computer Vision, 2022

Occlusion-Robustness of Convolutional Neural Networks via Inverted Cutout.

Matthias Körschens, Paul Bodesheim, Joachim Denzler

Proceedings of the 26th International Conference on Pattern Recognition, 2022

Investigating Neural Network Training on a Feature Level Using Conditional Independence.

Niklas Penzel, Christian Reimers, Paul Bodesheim, Joachim Denzler

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2021

Towards Learning an Unbiased Classifier from Biased Data via Conditional Adversarial Debiasing.

Christian Reimers, Paul Bodesheim, Jakob Runge, Joachim Denzler

CoRR, 2021

Lightweight Filtering of Noisy Web Data: Augmenting Fine-grained Datasets with Selected Internet Images.

Julia Böhlke, Dimitri Korsch, Paul Bodesheim, Joachim Denzler

Proceedings of the 16th International Joint Conference on Computer Vision, 2021

Automatic Plant Cover Estimation with Convolutional Neural Networks.

Matthias Körschens, Paul Bodesheim, Christine Römermann, Solveig Franziska Bucher, Mirco Migliavacca, Josephine Ulrich, Joachim Denzler

Proceedings of the 51. Jahrestagung der Gesellschaft für Informatik, INFORMATIK 2021 - Computer Science & Sustainability, Berlin, Germany, 27. September, 2021

Deep Learning Pipeline for Automated Visual Moth Monitoring: Insect Localization and Species Classification.

Dimitri Korsch, Paul Bodesheim, Joachim Denzler

Proceedings of the 51. Jahrestagung der Gesellschaft für Informatik, INFORMATIK 2021 - Computer Science & Sustainability, Berlin, Germany, 27. September, 2021

Exploiting Web Images for Moth Species Classification.

Julia Böhlke, Dimitri Korsch, Paul Bodesheim, Joachim Denzler

Proceedings of the 51. Jahrestagung der Gesellschaft für Informatik, INFORMATIK 2021 - Computer Science & Sustainability, Berlin, Germany, 27. September, 2021

Minimizing the Annotation Effort for Detecting Wildlife in Camera Trap Images with Active Learning.

Daphne Auer, Paul Bodesheim, Christian Fiderer, Marco Heurich, Joachim Denzler

Proceedings of the 51. Jahrestagung der Gesellschaft für Informatik, INFORMATIK 2021 - Computer Science & Sustainability, Berlin, Germany, 27. September, 2021

Conditional Adversarial Debiasing: Towards Learning Unbiased Classifiers from Biased Data.

Christian Reimers, Paul Bodesheim, Jakob Runge, Joachim Denzler

Proceedings of the Pattern Recognition - 43rd DAGM German Conference, DAGM GCPR 2021, Bonn, Germany, September 28, 2021

Weakly Supervised Segmentation Pretraining for Plant Cover Prediction.

Matthias Körschens, Paul Bodesheim, Christine Römermann, Solveig Franziska Bucher, Mirco Migliavacca, Josephine Ulrich, Joachim Denzler

Proceedings of the Pattern Recognition - 43rd DAGM German Conference, DAGM GCPR 2021, Bonn, Germany, September 28, 2021

End-to-End Learning of Fisher Vector Encodings for Part Features in Fine-Grained Recognition.

Dimitri Korsch, Paul Bodesheim, Joachim Denzler

Proceedings of the Pattern Recognition - 43rd DAGM German Conference, DAGM GCPR 2021, Bonn, Germany, September 28, 2021

Conditional Dependence Tests Reveal the Usage of ABCD Rule Features and Bias Variables in Automatic Skin Lesion Classification.

Christian Reimers, Niklas Penzel, Paul Bodesheim, Jakob Runge, Joachim Denzler

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020

End-to-end Learning of a Fisher Vector Encoding for Part Features in Fine-grained Recognition.

Dimitri Korsch, Paul Bodesheim, Joachim Denzler

CoRR, 2020

Towards Confirmable Automated Plant Cover Determination.

Matthias Körschens, Paul Bodesheim, Christine Römermann, Solveig Franziska Bucher, Josephine Ulrich, Joachim Denzler

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

2019

Classification-Specific Parts for Improving Fine-Grained Visual Categorization.

Dimitri Korsch, Paul Bodesheim, Joachim Denzler

Proceedings of the Pattern Recognition, 2019

2018

Discovering unknown visual objects with novelty detection techniques.

Paul Bodesheim

PhD thesis, 2018

SMOS Vegetation Optical Depth and Ecosystem Functional Properties: Exploring Their Relationships in Tropical Forests.

Gaia Vaglio Laurin, Cristina Vittucci, Gianluca Tramontana, Paul Bodesheim, Paolo Ferrazzoli, Leila Guerriero, Martin Jung, Miguel D. Mahecha, Dario Papale

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2017

Large-Scale Gaussian Process Inference with Generalized Histogram Intersection Kernels for Visual Recognition Tasks.

Erik Rodner, Alexander Freytag, Paul Bodesheim, Björn Fröhlich, Joachim Denzler

Int. J. Comput. Vis., 2017

2016

Maximally Divergent Intervals for Anomaly Detection.

Erik Rodner, Björn Barz, Yanira Guanche, Milan Flach, Miguel D. Mahecha, Paul Bodesheim, Markus Reichstein, Joachim Denzler

CoRR, 2016

2015

Local Novelty Detection in Multi-class Recognition Problems.

Paul Bodesheim, Alexander Freytag, Erik Rodner, Joachim Denzler

Proceedings of the 2015 IEEE Winter Conference on Applications of Computer Vision, 2015

Ranking drivers of global carbon and energy fluxes over land.

Gustau Camps-Valls, Martin Jung, Kazuhito Ichii, Dario Papale, Gianluca Tramontana, Paul Bodesheim, Christopher R. Schwalm, Jakob Zscheischler, Miguel D. Mahecha, Markus Reichstein

Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

Active learning and discovery of object categories in the presence of unnameable instances.

Christoph Käding, Alexander Freytag, Erik Rodner, Paul Bodesheim, Joachim Denzler

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

Seeing through bag-of-visual-word glasses: towards understanding quantization effects in feature extraction methods.

Alexander Freytag, Johannes Rühle, Paul Bodesheim, Erik Rodner, Joachim Denzler

CoRR, 2014

2013

Approximations of Gaussian Process Uncertainties for Visual Recognition Problems.

Paul Bodesheim, Alexander Freytag, Erik Rodner, Joachim Denzler

Proceedings of the Image Analysis, 18th Scandinavian Conference, 2013

Labeling Examples That Matter: Relevance-Based Active Learning with Gaussian Processes.

Alexander Freytag, Erik Rodner, Paul Bodesheim, Joachim Denzler

Proceedings of the Pattern Recognition - 35th German Conference, 2013

Kernel Null Space Methods for Novelty Detection.

Paul Bodesheim, Alexander Freytag, Erik Rodner, Michael Kemmler, Joachim Denzler

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012

Large-Scale Gaussian Process Classification with Flexible Adaptive Histogram Kernels.

Erik Rodner, Alexander Freytag, Paul Bodesheim, Joachim Denzler

Proceedings of the Computer Vision - ECCV 2012, 2012

Divergence-Based One-Class Classification Using Gaussian Processes.

Paul Bodesheim, Erik Rodner, Alexander Freytag, Joachim Denzler

Proceedings of the British Machine Vision Conference, 2012

Rapid Uncertainty Computation with Gaussian Processes and Histogram Intersection Kernels.

Alexander Freytag, Erik Rodner, Paul Bodesheim, Joachim Denzler

Proceedings of the Computer Vision, 2012

2011

Spectral Clustering of ROIs for Object Discovery.

Paul Bodesheim

Proceedings of the Pattern Recognition - 33rd DAGM Symposium, Frankfurt/Main, Germany, August 31, 2011