Bodesheim, Paul

8 publications

UAI 2025 Probabilistic Embeddings for Frozen Vision-Language Models: Uncertainty Quantification with Gaussian Process Latent Variable Models Aishwarya Venkataramanan, Paul Bodesheim, Joachim Denzler

ECCVW 2022 Investigating Neural Network Training on a Feature Level Using Conditional Independence Niklas Penzel, Christian Reimers, Paul Bodesheim, Joachim Denzler

CVPRW 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

ECCVW 2020 Towards Confirmable Automated Plant Cover Determination Matthias Körschens, Paul Bodesheim, Christine Römermann, Solveig Franziska Bucher, Josephine Ulrich, Joachim Denzler

CVPR 2015 Active Learning and Discovery of Object Categories in the Presence of Unnameable Instances Christoph Kading, Alexander Freytag, Erik Rodner, Paul Bodesheim, Joachim Denzler

WACV 2015 Local Novelty Detection in Multi-Class Recognition Problems Paul Bodesheim, Alexander Freytag, Erik Rodner, Joachim Denzler

CVPR 2013 Kernel Null Space Methods for Novelty Detection Paul Bodesheim, Alexander Freytag, Erik Rodner, Michael Kemmler, Joachim Denzler

ECCV 2012 Large-Scale Gaussian Process Classification with Flexible Adaptive Histogram Kernels Erik Rodner, Alexander Freytag, Paul Bodesheim, Joachim Denzler