Paul Bodesheim
Orcid: 0000-0002-3564-6528
According to our database1,
Paul Bodesheim
authored at least 34 papers
between 2011 and 2024.
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Bibliography
2024
Determining the community composition of herbaceous species from images using convolutional neural networks.
Ecol. Informatics, 2024
2023
CoRR, 2023
Proceedings of the Pattern Recognition - 45th DAGM German Conference, 2023
2022
Beyond Global Average Pooling: Alternative Feature Aggregations for Weakly Supervised Localization.
Proceedings of the 17th International Joint Conference on Computer Vision, 2022
Proceedings of the 26th International Conference on Pattern Recognition, 2022
Investigating Neural Network Training on a Feature Level Using Conditional Independence.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022
2021
Towards Learning an Unbiased Classifier from Biased Data via Conditional Adversarial Debiasing.
CoRR, 2021
Lightweight Filtering of Noisy Web Data: Augmenting Fine-grained Datasets with Selected Internet Images.
Proceedings of the 16th International Joint Conference on Computer Vision, 2021
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.
Proceedings of the 51. Jahrestagung der Gesellschaft für Informatik, INFORMATIK 2021 - Computer Science & Sustainability, Berlin, Germany, 27. September, 2021
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.
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.
Proceedings of the Pattern Recognition - 43rd DAGM German Conference, DAGM GCPR 2021, Bonn, Germany, September 28, 2021
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.
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.
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.
CoRR, 2020
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020
2019
Proceedings of the Pattern Recognition, 2019
2018
PhD thesis, 2018
SMOS Vegetation Optical Depth and Ecosystem Functional Properties: Exploring Their Relationships in Tropical Forests.
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.
Int. J. Comput. Vis., 2017
2016
2015
Proceedings of the 2015 IEEE Winter Conference on Applications of Computer Vision, 2015
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.
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.
CoRR, 2014
2013
Proceedings of the Image Analysis, 18th Scandinavian Conference, 2013
Labeling Examples That Matter: Relevance-Based Active Learning with Gaussian Processes.
Proceedings of the Pattern Recognition - 35th German Conference, 2013
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013
2012
Large-Scale Gaussian Process Classification with Flexible Adaptive Histogram Kernels.
Proceedings of the Computer Vision - ECCV 2012, 2012
Proceedings of the British Machine Vision Conference, 2012
Rapid Uncertainty Computation with Gaussian Processes and Histogram Intersection Kernels.
Proceedings of the Computer Vision, 2012
2011
Proceedings of the Pattern Recognition - 33rd DAGM Symposium, Frankfurt/Main, Germany, August 31, 2011