Difference of Boxes Filters Revisited: Shadow Suppression and Efficient Character Segmentation. - Erik Rodner; Herbert Süße; Wolfgang Ortmann; Joachim Denzler (Document Analysis Systems, 2008)

Learning with Few Examples using a Constrained Gaussian Prior on Randomized Trees. - Erik Rodner; Joachim Denzler (VMV, 2008)

On fusion of range and intensity information using Graph-Cut for planar patch segmentation. - Olaf Kähler; Erik Rodner; Joachim Denzler (Int. J. Intell. Syst. Technol. Appl., 2008)

Randomized Probabilistic Latent Semantic Analysis for Scene Recognition. - Erik Rodner; Joachim Denzler (CIARP, 2009)

Global Context Extraction for Object Recognition Using a Combination of Range and Visual Features. - Michael Kemmler; Erik Rodner; Joachim Denzler (Dyn3D, 2009)

Learning with Few Examples by Transferring Feature Relevance. - Erik Rodner; Joachim Denzler (DAGM-Symposium, 2009)

One-Class Classification with Gaussian Processes. - Michael Kemmler; Erik Rodner; Joachim Denzler (ACCV (2), 2010)

One-Shot Learning of Object Categories Using Dependent Gaussian Processes. - Erik Rodner; Joachim Denzler (DAGM-Symposium, 2010)

A Fast Approach for Pixelwise Labeling of Facade Images. - Björn Fröhlich; Erik Rodner; Joachim Denzler (ICPR, 2010)

Learning from Few Examples for Visual Recognition Problems. - Erik Rodner (Verlag Dr. Hut, 2011)

Lernen mit wenigen Beispielen für die visuelle Objekterkennung. - Erik Rodner (Ausgezeichnete Informatikdissertationen, 2011)

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 (MVA, 2011)

Learning with few examples for binary and multiclass classification using regularization of randomized trees. - Erik Rodner; Joachim Denzler (Pattern Recognit. Lett., 2011)

Rapid Uncertainty Computation with Gaussian Processes and Histogram Intersection Kernels. - Alexander Freytag; Erik Rodner; Paul Bodesheim; Joachim Denzler (ACCV (2), 2012)

Semantic Segmentation with Millions of Features: Integrating Multiple Cues in a Combined Random Forest Approach. - Björn Fröhlich; Erik Rodner; Joachim Denzler (ACCV (1), 2012)

Divergence-Based One-Class Classification Using Gaussian Processes. - Paul Bodesheim; Erik Rodner; Alexander Freytag; Joachim Denzler (BMVC, 2012)

As Time Goes by - Anytime Semantic Segmentation with Iterative Context Forests. - Björn Fröhlich; Erik Rodner; Joachim Denzler (DAGM/OAGM Symposium, 2012)

Large-Scale Gaussian Process Classification with Flexible Adaptive Histogram Kernels. - Erik Rodner; Alexander Freytag; Paul Bodesheim; Joachim Denzler (ECCV (4), 2012)

Multi-person Tracking-by-Detection Based on Calibrated Multi-camera Systems. - Xiaoyan Jiang; Erik Rodner; Joachim Denzler (ICCVG, 2012)

Efficient semantic segmentation with Gaussian processes and histogram intersection kernels. - Alexander Freytag; Björn Fröhlich; Erik Rodner; Joachim Denzler (ICPR, 2012)

Visual Transfer Learning: Informal Introduction and Literature Overview - Erik Rodner (CoRR, 2012)

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

Semi-supervised Domain Adaptation with Instance Constraints. - Jeff Donahue; Judy Hoffman; Erik Rodner; Kate Saenko; Trevor Darrell (CVPR, 2013)

Labeling Examples That Matter: Relevance-Based Active Learning with Gaussian Processes. - Alexander Freytag; Erik Rodner; Paul Bodesheim; Joachim Denzler (GCPR, 2013)

Approximations of Gaussian Process Uncertainties for Visual Recognition Problems. - Paul Bodesheim; Alexander Freytag; Erik Rodner; Joachim Denzler (SCIA, 2013)

Fine-grained Categorization - Short Summary of our Entry for the ImageNet Challenge 2012. - Christoph Göring; Alexander Freytag; Erik Rodner; Joachim Denzler (CoRR, 2013)

Towards Adapting ImageNet to Reality: Scalable Domain Adaptation with Implicit Low-rank Transformations. - Erik Rodner; Judy Hoffman; Jeff Donahue; Trevor Darrell; Kate Saenko (CoRR, 2013)

Efficient Learning of Domain-invariant Image Representations - Judy Hoffman; Erik Rodner; Jeff Donahue; Kate Saenko; Trevor Darrell (ICLR (Poster), 2013)

Large-scale gaussian process multi-class classification for semantic segmentation and facade recognition. - Björn Fröhlich; Erik Rodner; Michael Kemmler; Joachim Denzler (Mach. Vis. Appl., 2013)

One-class classification with Gaussian processes. - Michael Kemmler; Erik Rodner; Esther-Sabrina Wacker; Joachim Denzler (Pattern Recognit., 2013)

Bildverarbeitung und Objekterkennung - Computer Vision in Industrie und Medizin. - Herbert Süße; Erik Rodner (SpringerVieweg, 2014)

Part Detector Discovery in Deep Convolutional Neural Networks. - Marcel Simon; Erik Rodner; Joachim Denzler (ACCV (2), 2014)

Nonparametric Part Transfer for Fine-Grained Recognition. - Christoph Göring; Erik Rodner; Alexander Freytag; Joachim Denzler (CVPR, 2014)

Instance-Weighted Transfer Learning of Active Appearance Models. - Daniel Haase; Erik Rodner; Joachim Denzler (CVPR, 2014)

Exemplar-Specific Patch Features for Fine-Grained Recognition. - Alexander Freytag; Erik Rodner; Trevor Darrell; Joachim Denzler (GCPR, 2014)

Selecting Influential Examples: Active Learning with Expected Model Output Changes. - Alexander Freytag; Erik Rodner; Joachim Denzler (ECCV (4), 2014)

Interactive adaptation of real-time object detectors. - Daniel Goehring; Judy Hoffman; Erik Rodner; Kate Saenko; Trevor Darrell (ICRA, 2014)

Open-vocabulary Object Retrieval. - Sergio Guadarrama; Erik Rodner; Kate Saenko; Ning Zhang 014; Ryan Farrell; Jeff Donahue; Trevor Darrell (Robotics: Science and Systems, 2014)

ARTOS - Adaptive Real-Time Object Detection System. - Björn Barz; Erik Rodner; Joachim Denzler (CoRR, 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)

Asymmetric and Category Invariant Feature Transformations for Domain Adaptation. - Judy Hoffman; Erik Rodner; Jeff Donahue; Brian Kulis; Kate Saenko (Int. J. Comput. Vis., 2014)

Active learning and discovery of object categories in the presence of unnameable instances. - Christoph Käding; Alexander Freytag; Erik Rodner; Paul Bodesheim; Joachim Denzler (CVPR, 2015)

Neural Activation Constellations: Unsupervised Part Model Discovery with Convolutional Networks. - Marcel Simon; Erik Rodner (ICCV, 2015)

Beyond thinking in common categories: Predicting obstacle vulnerability using large random codebooks. - Johannes Rühle; Erik Rodner; Joachim Denzler (MVA, 2015)

Fine-grained classification of identity document types with only one example. - Marcel Simon; Erik Rodner; Joachim Denzler (MVA, 2015)

Convolutional Patch Networks with Spatial Prior for Road Detection and Urban Scene Understanding. - Clemens-Alexander Brust; Sven Sickert; Marcel Simon; Erik Rodner; Joachim Denzler (VISAPP (2), 2015)

Local Novelty Detection in Multi-class Recognition Problems. - Paul Bodesheim; Alexander Freytag; Erik Rodner; Joachim Denzler (WACV, 2015)

Fine-grained Recognition Datasets for Biodiversity Analysis. - Erik Rodner; Marcel Simon; Gunnar Brehm; Stephanie Pietsch; Johann-Wolfgang Wägele; Joachim Denzler (CoRR, 2015)

Machine Learning with Interdependent and Non-identically Distributed Data (Dagstuhl Seminar 15152). - Trevor Darrell; Marius Kloft; Massimiliano Pontil; Gunnar Rätsch; Erik Rodner (Dagstuhl Reports, 2015)

Fine-Tuning Deep Neural Networks in Continuous Learning Scenarios. - Christoph Käding; Erik Rodner; Alexander Freytag; Joachim Denzler (ACCV Workshops (3), 2016)

Vegetation Segmentation in Cornfield Images Using Bag of Words. - Yerania Campos; Erik Rodner; Joachim Denzler; Humberto Sossa; Gonzalo Pajares (ACIVS, 2016)

Impatient DNNs - Deep Neural Networks with Dynamic Time Budgets. - Manuel Amthor; Erik Rodner; Joachim Denzler (BMVC, 2016)

Fine-grained Recognition in the Noisy Wild: Sensitivity Analysis of Convolutional Neural Networks Approaches. - Erik Rodner; Marcel Simon; Robert B. Fisher; Joachim Denzler (BMVC, 2016)

SeaCLEF 2016: Object Proposal Classification for Fish Detection in Underwater Videos. - Jonas Jäger; Erik Rodner; Joachim Denzler; Viviane Wolff; Klaus Fricke-Neuderth (CLEF (Working Notes), 2016)

Chimpanzee Faces in the Wild: Log-Euclidean CNNs for Predicting Identities and Attributes of Primates. - Alexander Freytag; Erik Rodner; Marcel Simon; Alexander Loos; Hjalmar S. Kühl; Joachim Denzler (GCPR, 2016)

Large-Scale Active Learning with Approximations of Expected Model Output Changes. - Christoph Käding; Alexander Freytag; Erik Rodner; Andrea Perino; Joachim Denzler (GCPR, 2016)

Convolutional Neural Networks as a Computational Model for the Underlying Processes of Aesthetics Perception. - Joachim Denzler; Erik Rodner; Marcel Simon (ECCV Workshops (1), 2016)

Watch, Ask, Learn, and Improve: a lifelong learning cycle for visual recognition. - Christoph Käding; Erik Rodner; Alexander Freytag; Joachim Denzler (ESANN, 2016)

Neither Quick Nor Proper - Evaluation of QuickProp for Learning Deep Neural Networks. - Clemens-Alexander Brust; Sven Sickert; Marcel Simon; Erik Rodner; Joachim Denzler (CoRR, 2016)

Active and Continuous Exploration with Deep Neural Networks and Expected Model Output Changes. - Christoph Käding; Erik Rodner; Alexander Freytag; Joachim Denzler (CoRR, 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)

ImageNet pre-trained models with batch normalization. - Marcel Simon; Erik Rodner; Joachim Denzler (CoRR, 2016)

Understanding object descriptions in robotics by open-vocabulary object retrieval and detection. - Sergio Guadarrama; Erik Rodner; Kate Saenko; Trevor Darrell (Int. J. Robotics Res., 2016)

Generalized Orderless Pooling Performs Implicit Salient Matching. - Marcel Simon; Yang Gao 029; Trevor Darrell; Joachim Denzler; Erik Rodner (ICCV, 2017)

Automatic Classification of Cancerous Tissue in Laserendomicroscopy Images of the Oral Cavity using Deep Learning. - Marc Aubreville; Christian Knipfer; Nicolai Oetter; Christian Jaremenko; Erik Rodner; Joachim Denzler; Christopher Bohr; Helmut Neumann; Florian Stelzle; Andreas K. Maier (CoRR, 2017)

Fast Learning and Prediction for Object Detection using Whitened CNN Features. - Björn Barz; Erik Rodner; Christoph Käding; Joachim Denzler (CoRR, 2017)

Her2 Challenge Contest: A Detailed Assessment of Automated Her2 Scoring Algorithms in Whole Slide Images of Breast Cancer Tissues. - Talha Qaiser; Abhik Mukherjee; Chaitanya Reddy Pb; Sai Dileep Munugoti; Vamsi Tallam; Tomi Pitkäaho; Taina Lehtimäki; Thomas J. Naughton; Matt Berseth; Aníbal Pedraza; Ramakrishnan Mukundan; Matthew Smith 007; et al. (CoRR, 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)

Active Learning for Regression Tasks with Expected Model Output Changes. - Christoph Käding; Erik Rodner; Alexander Freytag; Oliver Mothes; Björn Barz; Joachim Denzler (BMVC, 2018)

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 (ECCV Workshops (6), 2018)

Detecting Regions of Maximal Divergence for Spatio-Temporal Anomaly Detection. - Björn Barz; Erik Rodner; Yanira Guanche Garcia; Joachim Denzler (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

The Whole Is More Than Its Parts? From Explicit to Implicit Pose Normalization. - Marcel Simon; Erik Rodner; Trevor Darrell; Joachim Denzler (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

Every Annotation Counts: Multi-Label Deep Supervision for Medical Image Segmentation. - Simon Reiß; Constantin Seibold; Alexander Freytag; Erik Rodner; Rainer Stiefelhagen (CVPR, 2021)

Graph-Constrained Contrastive Regularization for Semi-weakly Volumetric Segmentation. - Simon Reiß; Constantin Seibold; Alexander Freytag; Erik Rodner; Rainer Stiefelhagen (ECCV (21), 2022)

Evaluating Zero-Cost Active Learning for Object Detection. - Dominik Probst; Hasnain Raza; Erik Rodner (SEFM Workshops, 2022)

Decoupled Semantic Prototypes enable learning from diverse annotation types for semi-weakly segmentation in expert-driven domains. - Simon Reiß; Constantin Seibold; Alexander Freytag; Erik Rodner; Rainer Stiefelhagen (CVPR, 2023)

Blind Video Stabilization Quality Assessment based on convolutional LSTM. - Mohamed Riad Yagoubi; Seyed Ali Amirshahi; Steven Le Moan; Azeddine Beghdadi; Erik Rodner (EUVIP, 2023)

Foundations for applied artificial intelligence: enabling and supporting AI teaching and research. - Ricardo Knauer; Raphael Wallsberger; Marvin Grimm; Marian Bookhahn; Frank Neumann 004; Stephan Matzka; Erik Rodner (GI-Jahrestagung, 2023)

Cost-Sensitive Best Subset Selection for Logistic Regression: A Mixed-Integer Conic Optimization Perspective. - Ricardo Knauer; Erik Rodner (KI, 2023)

CAD Models to Real-World Images: A Practical Approach to Unsupervised Domain Adaptation in Industrial Object Classification. - Dennis Ritter; Mike Hemberger; Marc Hönig; Volker Stopp; Erik Rodner; Kristian Hildebrand (PKDD/ECML Workshops (4), 2023)

Zum Einsatz von Maschinellem Lernen in der Umweltverwaltung: Der Simplex4Learning Ansatz. - Andreas Abecker; Matthias Budde; Frank Fuchs-Kittowski; Janik Großmann; Werner Koch; Jonas Lachowitzer; Stefan Lossow; Erik Rodner; Heino Rudolf; Paul Schulze (INFORMATIK, 2024)

Eine Methode für die Potenzialanalyse zur Identifikation von Anwendungsszenarien für Maschinelles Lernen. - Frank Fuchs-Kittowski; Paul Schulze; Andreas Abecker; Jonas Lachowitzer; Stefan Lossow; Heino Rudolf; Erik Rodner (INFORMATIK, 2024)

Lecturers' Perspectives Regarding AI Competencies for Non-computer Science Students in Undergraduate Education. - Kamilla Tenório; Ricardo Knauer; Raphael Wallsberger; Erik Rodner; Ralf Romeike (OCCE, 2024)

Squeezing Lemons with Hammers: An Evaluation of AutoML and Tabular Deep Learning for Data-Scarce Classification Applications. - Ricardo Knauer; Erik Rodner (CoRR, 2024)

PMLBmini: A Tabular Classification Benchmark Suite for Data-Scarce Applications. - Ricardo Knauer; Marvin Grimm; Erik Rodner (CoRR, 2024)

"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 (CoRR, 2024)

Feedback-driven object detection and iterative model improvement. - Sönke Tenckhoff; Mario Koddenbrock; Erik Rodner (CoRR, 2024)

On the Domain Robustness of Contrastive Vision-Language Models. - Mario Koddenbrock; Rudolf Hoffmann; David Brodmann; Erik Rodner (KI, 2025)

Robust Weight Imprinting: Insights from Neural Collapse and Proxy-Based Aggregation. - Justus Westerhoff; Golzar Atefi; Mario Koddenbrock; Alexei Figueroa; Alexander Löser; Erik Rodner; Felix A. Gers (CoRR, 2025)

Is Visual in-Context Learning for Compositional Medical Tasks within Reach? - Simon Reiß; Zdravko Marinov; Alexander Jaus; Constantin Seibold; M. Saquib Sarfraz; Erik Rodner; Rainer Stiefelhagen (CoRR, 2025)