| 2025 | GI | Early Insights on an Open-Source Assistant Framework for Student Service Interaction. | Florian Dewes, Erik Rodner, Tilo Wendler |
| 2025 | ICCV | Is Visual in-Context Learning for Compositional Medical Tasks Within Reach? | Simon Rei, Zdravko Marinov, Alexander Jaus, Constantin Seibold, M. Saquib Sarfraz, Erik Rodner, Rainer Stiefelhagen |
| 2025 | KDD | 'Oh LLM, I'm Asking Thee, Please Give Me a Decision Tree': Zero-Shot Decision Tree Induction and Embedding with Large Language Models. | Ricardo Knauer, Mario Koddenbrock, Raphael Wallsberger, Nicholas M. Brisson, Georg N. Duda, Deborah Falla, David W. Evans, Erik Rodner |
| 2025 | KI | On the Domain Robustness of Contrastive Vision-Language Models. | Mario Koddenbrock, Rudolf Hoffmann, David Brodmann, Erik Rodner |
| 2024 | GI | Zum Einsatz von Maschinellem Lernen in der Umweltverwaltung: Der Simplex4Learning Ansatz. | Andreas Abecker, Matthias Budde, Frank Fuchs-Kittowski, Janik Gromann, Werner Koch, Jonas Lachowitzer, Stefan Lossow, Erik Rodner, Heino Rudolf, Paul Schulze |
| 2024 | GI | Eine Methode fr die Potenzialanalyse zur Identifikation von Anwendungsszenarien fr Maschinelles Lernen. | Frank Fuchs-Kittowski, Paul Schulze, Andreas Abecker, Jonas Lachowitzer, Stefan Lossow, Heino Rudolf, Erik Rodner |
| 2023 | CVPR | Decoupled Semantic Prototypes enable learning from diverse annotation types for semi-weakly segmentation in expert-driven domains. | Simon Rei, Constantin Seibold, Alexander Freytag, Erik Rodner, Rainer Stiefelhagen |
| 2023 | GI | Foundations for applied artificial intelligence: enabling and supporting AI teaching and research. | Ricardo Knauer, Raphael Wallsberger, Marvin Grimm, Marian Bookhahn, Frank Neumann, Stephan Matzka, Erik Rodner |
| 2023 | KI | Cost-Sensitive Best Subset Selection for Logistic Regression: A Mixed-Integer Conic Optimization Perspective. | Ricardo Knauer, Erik Rodner |
| 2022 | ECCV | Graph-Constrained Contrastive Regularization for Semi-weakly Volumetric Segmentation. | Simon Rei, Constantin Seibold, Alexander Freytag, Erik Rodner, Rainer Stiefelhagen |
| 2022 | SEFM | Evaluating Zero-Cost Active Learning for Object Detection. | Dominik Probst, Hasnain Raza, Erik Rodner |
| 2021 | CVPR | Every Annotation Counts: Multi-Label Deep Supervision for Medical Image Segmentation. | Simon Rei, Constantin Seibold, Alexander Freytag, Erik Rodner, Rainer Stiefelhagen |
| 2018 | BMVC | Active Learning for Regression Tasks with Expected Model Output Changes. | Christoph Kding, Erik Rodner, Alexander Freytag, Oliver Mothes, Bjrn Barz, Joachim Denzler |
| 2018 | ECCV | Workshop on Interactive and Adaptive Learning in an Open World. | Alexander Freytag, Vittorio Ferrari, Mario Fritz, Uwe Franke, Terrance E. Boult, Juergen Gall, Walter J. Scheirer, Angela Yao, Erik Rodner |
| 2017 | ICCV | Generalized Orderless Pooling Performs Implicit Salient Matching. | Marcel Simon, Yang Gao, Trevor Darrell, Joachim Denzler, Erik Rodner |
| 2016 | ACCV | Fine-Tuning Deep Neural Networks in Continuous Learning Scenarios. | Christoph Kding, Erik Rodner, Alexander Freytag, Joachim Denzler |
| 2016 | ACIVS | Vegetation Segmentation in Cornfield Images Using Bag of Words. | Yerania Campos, Erik Rodner, Joachim Denzler, Humberto Sossa, Gonzalo Pajares |
| 2016 | BMVC | Impatient DNNs - Deep Neural Networks with Dynamic Time Budgets. | Manuel Amthor, Erik Rodner, Joachim Denzler |
| 2016 | BMVC | Fine-grained Recognition in the Noisy Wild: Sensitivity Analysis of Convolutional Neural Networks Approaches. | Erik Rodner, Marcel Simon, Robert B. Fisher, Joachim Denzler |
| 2016 | ECCV | Convolutional Neural Networks as a Computational Model for the Underlying Processes of Aesthetics Perception. | Joachim Denzler, Erik Rodner, Marcel Simon |
| 2016 | ESANN | Watch, Ask, Learn, and Improve: a lifelong learning cycle for visual recognition. | Christoph Kding, Erik Rodner, Alexander Freytag, Joachim Denzler |
| 2015 | CVPR | Active learning and discovery of object categories in the presence of unnameable instances. | Christoph Kding, Alexander Freytag, Erik Rodner, Paul Bodesheim, Joachim Denzler |
| 2015 | ICCV | Neural Activation Constellations: Unsupervised Part Model Discovery with Convolutional Networks. | Marcel Simon, Erik Rodner |
| 2015 | MVA | Beyond thinking in common categories: Predicting obstacle vulnerability using large random codebooks. | Johannes Rhle, Erik Rodner, Joachim Denzler |
| 2015 | MVA | Fine-grained classification of identity document types with only one example. | Marcel Simon, Erik Rodner, Joachim Denzler |
| 2015 | WACV | Local Novelty Detection in Multi-class Recognition Problems. | Paul Bodesheim, Alexander Freytag, Erik Rodner, Joachim Denzler |
| 2014 | ACCV | Part Detector Discovery in Deep Convolutional Neural Networks. | Marcel Simon, Erik Rodner, Joachim Denzler |
| 2014 | CVPR | Nonparametric Part Transfer for Fine-Grained Recognition. | Christoph Gring, Erik Rodner, Alexander Freytag, Joachim Denzler |
| 2014 | CVPR | Instance-Weighted Transfer Learning of Active Appearance Models. | Daniel Haase, Erik Rodner, Joachim Denzler |
| 2014 | ECCV | Selecting Influential Examples: Active Learning with Expected Model Output Changes. | Alexander Freytag, Erik Rodner, Joachim Denzler |
| 2014 | ICRA | Interactive adaptation of real-time object detectors. | Daniel Goehring, Judy Hoffman, Erik Rodner, Kate Saenko, Trevor Darrell |
| 2013 | CVPR | Kernel Null Space Methods for Novelty Detection. | Paul Bodesheim, Alexander Freytag, Erik Rodner, Michael Kemmler, Joachim Denzler |
| 2013 | CVPR | Semi-supervised Domain Adaptation with Instance Constraints. | Jeff Donahue, Judy Hoffman, Erik Rodner, Kate Saenko, Trevor Darrell |
| 2012 | ACCV | Rapid Uncertainty Computation with Gaussian Processes and Histogram Intersection Kernels. | Alexander Freytag, Erik Rodner, Paul Bodesheim, Joachim Denzler |
| 2012 | ACCV | Semantic Segmentation with Millions of Features: Integrating Multiple Cues in a Combined Random Forest Approach. | Bjrn Frhlich, Erik Rodner, Joachim Denzler |
| 2012 | BMVC | Divergence-Based One-Class Classification Using Gaussian Processes. | Paul Bodesheim, Erik Rodner, Alexander Freytag, Joachim Denzler |
| 2012 | ECCV | Large-Scale Gaussian Process Classification with Flexible Adaptive Histogram Kernels. | Erik Rodner, Alexander Freytag, Paul Bodesheim, Joachim Denzler |
| 2012 | ICCVG | Multi-person Tracking-by-Detection Based on Calibrated Multi-camera Systems. | Xiaoyan Jiang, Erik Rodner, Joachim Denzler |
| 2012 | ICPR | Efficient semantic segmentation with Gaussian processes and histogram intersection kernels. | Alexander Freytag, Bjrn Frhlich, Erik Rodner, Joachim Denzler |
| 2011 | MVA | One-Class Classification for Anomaly Detection in Wire Ropes with Gaussian Processes in a Few Lines of Code. | Erik Rodner, Esther-Sabrina Wacker, Michael Kemmler, Joachim Denzler |
| 2010 | ACCV | One-Class Classification with Gaussian Processes. | Michael Kemmler, Erik Rodner, Joachim Denzler |
| 2010 | ICPR | A Fast Approach for Pixelwise Labeling of Facade Images. | Bjrn Frhlich, Erik Rodner, Joachim Denzler |
| 2009 | CIARP | Randomized Probabilistic Latent Semantic Analysis for Scene Recognition. | Erik Rodner, Joachim Denzler |
| 2008 | DAS | Difference of Boxes Filters Revisited: Shadow Suppression and Efficient Character Segmentation. | Erik Rodner, Herbert Se, Wolfgang Ortmann, Joachim Denzler |