2018

Active Learning for Regression Tasks with Expected Model Output Changes.
Christoph Käding and Erik Rodner and Alexander Freytag and Oliver Mothes and Björn Barz and Joachim Denzler.
British Machine Vision Conference (BMVC). 2018.
[bibtex] [pdf] [code] [supplementary] [abstract]
Detecting Regions of Maximal Divergence for Spatio-Temporal Anomaly Detection.
Björn Barz and Erik Rodner and Yanira Guanche Garcia and Joachim Denzler.
IEEE Transactions on Pattern Analysis and Machine Intelligence. 2018. (to be published)
[bibtex] [pdf] [web] [code] [abstract]
HER2 challenge contest: a detailed assessment of automated HER2 scoring algorithms in whole slide images of breast cancer tissues.
Talha Qaiser and Abhik Mukherjee and Chaitanya Reddy PB and Sai D Munugoti and Vamsi Tallam and Tomi Pitkaho and Taina Lehtimki and Thomas Naughton and Matt Berseth and Anbal Pedraza and Ramakrishnan Mukundan and Matthew Smith and Abhir Bhalerao and Erik Rodner and Marcel Simon and Joachim Denzler and Chao-Hui Huang and Gloria Bueno and David Snead and Ian O Ellis and Mohammad Ilyas and Nasir Rajpoot.
Histopathology. 72 (2): pages 227-238. 2018.
[bibtex] [web] [abstract]

2017

Generalized orderless pooling performs implicit salient matching.
Marcel Simon and Yang Gao and Trevor Darrell and Joachim Denzler and Erik Rodner.
International Conference on Computer Vision (ICCV). Pages 4970-4979. 2017.
[bibtex] [pdf]
Large-Scale Gaussian Process Inference with Generalized Histogram Intersection Kernels for Visual Recognition Tasks.
Erik Rodner and Alexander Freytag and Paul Bodesheim and Björn Fröhlich and Joachim Denzler.
International Journal of Computer Vision (IJCV). 121 (2): pages 253-280. 2017.
[bibtex] [pdf] [web]
Multivariate anomaly detection for Earth observations: a comparison of algorithms and feature extraction techniques.
Milan Flach and Fabian Gans and Alexander Brenning and Joachim Denzler and Markus Reichstein and Erik Rodner and Sebastian Bathiany and Paul Bodesheim and Yanira Guanche and Sebasitan Sippel and Miguel D. Mahecha.
Earth System Dynamics. 8 (3): pages 677-696. 2017.
[bibtex] [web]
Deep bilinear features for Her2 scoring in digital pathology.
Erik Rodner and Marcel Simon and Joachim Denzler.
Current Directions in Biomedical Engineering. 3 (2): pages 811-814. 2017.
[bibtex] [pdf]
Fast Learning and Prediction for Object Detection using Whitened CNN Features.
Björn Barz and Erik Rodner and Christoph Käding and Joachim Denzler.
arXiv preprint arXiv:1704.02930. 2017.
[bibtex] [pdf] [web]
Automatic Classification of Cancerous Tissue in Laserendomicroscopy Images of the Oral Cavity using Deep Learning.
Marc Aubreville and Christian Knipfer and Nicolai Oetter and Christian Jaremenko and Erik Rodner and Joachim Denzler and Christopher Bohr and Helmut Neumann and Florian Stelzle and Andreas Maier.
Scientific Reports. 7 (1): pages 41598-017. 2017.
[bibtex] [web]
Maximally Divergent Intervals for Extreme Weather Event Detection.
Björn Barz and Yanira Guanche and Erik Rodner and Joachim Denzler.
MTS/IEEE OCEANS Conference Aberdeen. Pages 1-9. 2017.
[bibtex] [pdf] [abstract]

2016

Semantic Volume Segmentation with Iterative Context Integration for Bio-medical Image Stacks.
Sven Sickert and Erik Rodner and Joachim Denzler.
Pattern Recognition and Image Analysis. Advances in Mathematical Theory and Applications (PRIA). 26 (1): pages 197-204. 2016.
[bibtex] [pdf] [abstract]
Fine-tuning Deep Neural Networks in Continuous Learning Scenarios.
Christoph Käding and Erik Rodner and Alexander Freytag and Joachim Denzler.
ACCV Workshop on Interpretation and Visualization of Deep Neural Nets (ACCV-WS). 2016.
[bibtex] [pdf] [web] [supplementary] [abstract]
Large-scale Active Learning with Approximated Expected Model Output Changes.
Christoph Käding and Alexander Freytag and Erik Rodner and Andrea Perino and Joachim Denzler.
German Conference on Pattern Recognition (GCPR). Pages 179-191. 2016.
[bibtex] [pdf] [web] [code] [supplementary] [abstract]
Convolutional Neural Networks as a Computational Model for the Underlying Processes of Aesthetics Perception.
Joachim Denzler and Erik Rodner and Marcel Simon.
ECCV Workshop on Computer Vision for Art Analysis. 2016.
[bibtex] [pdf] [web]
Multivariate Anomaly Detection for Earth Observations: A Comparison of Algorithms and Feature Extraction Techniques.
Milan Flach and Fabian Gans and Alexander Brenning and Joachim Denzler and Markus Reichstein and Erik Rodner and Sebastian Bathiany and Paul Bodesheim and Yanira Garcia Guanche and Sebastian Sippel and Miguel Mahecha.
Earth System Dynamics. 2016. in discussion
[bibtex] [web]
Using Statistical Process Control for detecting anomalies in multivariate spatiotemporal Earth Observations.
Milan Flach and Miguel Mahecha and Fabian Gans and Erik Rodner and Paul Bodesheim and Yanira Guanche-Garcia and Alexander Brenning and Joachim Denzler and Markus Reichstein.
European Geosciences Union General Assembly. 2016.
[bibtex] [pdf] [web]
Neither Quick Nor Proper -- Evaluation of QuickProp for Learning Deep Neural Networks.
Clemens-Alexander Brust and Sven Sickert and Marcel Simon and Erik Rodner and Joachim Denzler.
arXiv preprint arXiv:1606.04333. 2016.
[bibtex] [pdf] [web] [abstract]
Watch, Ask, Learn, and Improve: A Lifelong Learning Cycle for Visual Recognition.
Christoph Käding and Erik Rodner and Alexander Freytag and Joachim Denzler.
European Symposium on Artificial Neural Networks (ESANN). Pages 381-386. 2016.
[bibtex] [pdf] [code] [presentation] [abstract]
Vegetation segmentation in cornfield images using bag of words.
Yerania Campos and Erik Rodner and Joachim Denzler and Humberto Sossa and Gonzalo Pajares.
Advanced Concepts for Intelligent Vision Systems (ACIVS). Pages 193-204. 2016.
[bibtex] [pdf] [web] [abstract]
Fine-grained Recognition in the Noisy Wild: Sensitivity Analysis of Convolutional Neural Networks Approaches.
Erik Rodner and Marcel Simon and Bob Fisher and Joachim Denzler.
British Machine Vision Conference (BMVC). 2016.
[bibtex] [pdf] [supplementary]
SeaCLEF 2016: Object Proposal Classification for Fish Detection in Underwater Videos.
Jonas Jäger and Erik Rodner and Joachim Denzler and Viviane Wolff and Klaus Fricke-Neuderth.
Working Notes of CLEF 2016 - Conference and Labs of the Evaluation forum. Pages 481-489. 2016.
[bibtex] [pdf]
Detecting Multivariate Biosphere Extremes.
Yanira Guanche Garcia and Erik Rodner and Milan Flach and Sebastian Sippel and Miguel Mahecha and Joachim Denzler.
International Workshop on Climate Informatics (CI). Pages 9-12. 2016.
[bibtex] [web] [abstract]
Maximally Divergent Intervals for Anomaly Detection.
Erik Rodner and Björn Barz and Yanira Guanche and Milan Flach and Miguel Mahecha and Paul Bodesheim and Markus Reichstein and Joachim Denzler.
ICML Workshop on Anomaly Detection (ICML-WS). 2016. Best Paper Award
[bibtex] [pdf] [code]
Impatient DNNs - Deep Neural Networks with Dynamic Time Budgets.
Manuel Amthor and Erik Rodner and Joachim Denzler.
British Machine Vision Conference (BMVC). 2016.
[bibtex] [pdf]
Active and Continuous Exploration with Deep Neural Networks and Expected Model Output Changes.
Christoph Käding and Erik Rodner and Alexander Freytag and Joachim Denzler.
NIPS Workshop on Continual Learning and Deep Networks (NIPS-WS). 2016.
[bibtex] [pdf] [web] [abstract]
Chimpanzee Faces in the Wild: Log-Euclidean CNNs for Predicting Identities and Attributes of Primates.
Alexander Freytag and Erik Rodner and Marcel Simon and Alexander Loos and Hjalmar Kühl and Joachim Denzler.
German Conference on Pattern Recognition (GCPR). Pages 51-63. 2016.
[bibtex] [pdf] [web] [supplementary] [abstract]

2015

Active Learning and Discovery of Object Categories in the Presence of Unnameable Instances.
Christoph Käding and Alexander Freytag and Erik Rodner and Paul Bodesheim and Joachim Denzler.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Pages 4343-4352. 2015.
[bibtex] [pdf] [web] [code] [presentation] [supplementary] [abstract]
Efficient Convolutional Patch Networks for Scene Understanding.
Clemens-Alexander Brust and Sven Sickert and Marcel Simon and Erik Rodner and Joachim Denzler.
CVPR Workshop on Scene Understanding (CVPR-WS). 2015.
[bibtex] [pdf] [code] [presentation] [abstract]
Neural Activation Constellations: Unsupervised Part Model Discovery with Convolutional Networks.
Marcel Simon and Erik Rodner.
International Conference on Computer Vision (ICCV). Pages 1143-1151. 2015.
[bibtex] [pdf] [web] [abstract]
Automated analysis of confocal laser endomicroscopy images to detect head and neck cancer.
Andreas Dittberner and Erik Rodner and Wolfgang Ortmann and Joachim Stadler and Carsten Schmidt and Iver Petersen and Andreas Stallmach and Joachim Denzler and Orlando Guntinas-Lichius.
Head and Neck. 38 (1): 2015.
[bibtex] [web]
Beyond Thinking in Common Categories: Predicting Obstacle Vulnerability using Large Random Codebooks.
Johannes Rühle and Erik Rodner and Joachim Denzler.
Machine Vision Applications (MVA). Pages 198-201. 2015.
[bibtex] [pdf] [web] [abstract]
Fine-grained Recognition Datasets for Biodiversity Analysis.
Erik Rodner and Marcel Simon and Gunnar Brehm and Stephanie Pietsch and J. Wolfgang Wägele and Joachim Denzler.
CVPR Workshop on Fine-grained Visual Classification (CVPR-WS). 2015.
[bibtex] [pdf] [web]
Convolutional Patch Networks with Spatial Prior for Road Detection and Urban Scene Understanding.
Clemens-Alexander Brust and Sven Sickert and Marcel Simon and Erik Rodner and Joachim Denzler.
International Conference on Computer Vision Theory and Applications (VISAPP). Pages 510-517. 2015.
[bibtex] [pdf] [web] [code] [abstract]
Analysis and Classification of Microscopy Images with Cell Border Distance Statistics.
Erik Rodner and Wolfgang Ortmann and Andreas Dittberner and Joachim Stadler and Carsten Schmidt and Iver Petersen and Andreas Stallmach and Joachim Denzler and Orlando Guntinas-Lichius.
Jahrestagung der Deutschen Gesellschaft für Medizinische Physik (DGMP). 2015.
[bibtex] [pdf]
Local Novelty Detection in Multi-class Recognition Problems.
Paul Bodesheim and Alexander Freytag and Erik Rodner and Joachim Denzler.
IEEE Winter Conference on Applications of Computer Vision (WACV). Pages 813-820. 2015.
[bibtex] [pdf] [supplementary]
Fine-grained Classification of Identity Document Types with Only One Example.
Marcel Simon and Erik Rodner and Joachim Denzler.
Machine Vision Applications (MVA). Pages 126 - 129. 2015.
[bibtex] [pdf] [web] [abstract]
Understanding Object Descriptions in Robotics by Open-vocabulary Object Retrieval and Detection.
Sergio Guadarrama and Erik Rodner and Kate Saenko and Trevor Darrell.
International Journal of Robotics Research (IJRR). 35 (1-3): pages 265-280. 2015.
[bibtex] [pdf] [web]

2014

Instance-weighted Transfer Learning of Active Appearance Models.
Daniel Haase and Erik Rodner and Joachim Denzler.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Pages 1426-1433. 2014.
[bibtex] [pdf] [abstract]
Open-vocabulary Object Retrieval.
Sergio Guadarrama and Erik Rodner and Kate Saenko and Ning Zhang and Ryan Farrell and Jeff Donahue and Trevor Darrell.
Robotics Science and Systems (RSS). Pages 41, ISBN 978-0-9923747-0-9. 2014. Awarded with an AAAI invited talk
[bibtex] [pdf] [web] [abstract]
Interactive Adaptation of Real-Time Object Detectors.
Daniel Göhring and Judy Hoffman and Erik Rodner and Kate Saenko and Trevor Darrell.
International Conference on Robotics and Automation (ICRA). Pages 1282-1289. 2014.
[bibtex] [pdf] [web] [abstract]
Birds of a Feather Flock Together - Local Learning of Mid-level Representations for Fine-grained Recognition.
Alexander Freytag and Erik Rodner and Joachim Denzler.
ECCV Workshop on Parts and Attributes (ECCV-WS). 2014.
[bibtex] [pdf] [web] [code] [presentation]
Seeing through bag-of-visual-word glasses: towards understanding quantization effects in feature extraction methods.
Alexander Freytag and Johannes Rühle and Paul Bodesheim and Erik Rodner and Joachim Denzler.
International Conference on Pattern Recognition (ICPR) - FEAST workshop. 2014. Best Poster Award
[bibtex] [pdf] [code] [presentation] [abstract]
Nonparametric Part Transfer for Fine-grained Recognition.
Christoph Göring and Erik Rodner and Alexander Freytag and Joachim Denzler.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Pages 2489-2496. 2014.
[bibtex] [pdf] [web] [code] [presentation] [abstract]
Semantic Volume Segmentation with Iterative Context Integration.
Sven Sickert and Erik Rodner and Joachim Denzler.
Open German-Russian Workshop on Pattern Recognition and Image Understanding (OGRW). Pages 220-225. 2014.
[bibtex] [pdf] [web] [abstract]
ARTOS -- Adaptive Real-Time Object Detection System.
Björn Barz and Erik Rodner and Joachim Denzler.
arXiv preprint arXiv:1407.2721. 2014.
[bibtex] [pdf] [web] [code] [abstract]
Selecting Influential Examples: Active Learning with Expected Model Output Changes.
Alexander Freytag and Erik Rodner and Joachim Denzler.
European Conference on Computer Vision (ECCV). Pages 562-577. 2014.
[bibtex] [pdf] [presentation] [supplementary] [abstract]
Part Detector Discovery in Deep Convolutional Neural Networks.
Marcel Simon and Erik Rodner and Joachim Denzler.
Asian Conference on Computer Vision (ACCV). Pages 162-177. 2014.
[bibtex] [pdf] [code] [abstract]
Part Localization by Exploiting Deep Convolutional Networks.
Marcel Simon and Erik Rodner and Joachim Denzler.
ECCV Workshop on Parts and Attributes (ECCV-WS). 2014.
[bibtex] [pdf] [web]
Bildverarbeitung und Objekterkennung: Computer Vision in Industrie und Medizin.
Herbert Süße and Erik Rodner. (2014) Neues umfangreiches Lehrbuch im Bereich Bildverarbeitung und maschinelles Lernen
[bibtex] [web] [abstract]
Exemplar-specific Patch Features for Fine-grained Recognition.
Alexander Freytag and Erik Rodner and Trevor Darrell and Joachim Denzler.
German Conference on Pattern Recognition (GCPR). Pages 144-156. 2014.
[bibtex] [pdf] [code] [supplementary] [abstract]
Asymmetric and Category Invariant Feature Transformations for Domain Adaptation.
Judy Hoffman and Erik Rodner and Jeff Donahue and Brian Kulis and Kate Saenko.
International Journal of Computer Vision (IJCV). 109 (1-2): pages 28-41. 2014.
[bibtex] [pdf] [web] [abstract]

2013

Transform-based Domain Adaptation for Big Data.
Erik Rodner and Judy Hoffman and Jeff Donahue and Trevor Darrell and Kate Saenko.
NIPS Workshop on New Directions in Transfer and Multi-Task Learning (NIPS-WS). 2013. abstract version of arXiv:1308.4200
[bibtex] [pdf] [abstract]
Towards Adapting ImageNet to Reality: Scalable Domain Adaptation with Implicit Low-rank Transformations.
Erik Rodner and Judy Hoffman and Jeff Donahue and Trevor Darrell and Kate Saenko.
arXiv preprint arXiv:1308.4200. 2013.
[bibtex] [pdf]
Fine-grained Categorization - Short Summary of our Entry for the ImageNet Challenge 2012.
Christoph Göring and Alexander Freytag and Erik Rodner and Joachim Denzler.
arXiv preprint arXiv:1310.4759. 2013.
[bibtex] [pdf] [web]
Semi-Supervised Domain Adaptation with Instance Constraints.
Jeff Donahue and Judy Hoffman and Erik Rodner and Kate Saenko and Trevor Darrell.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Pages 668 - 675. 2013.
[bibtex] [pdf]
Approximations of Gaussian Process Uncertainties for Visual Recognition Problems.
Paul Bodesheim and Alexander Freytag and Erik Rodner and Joachim Denzler.
Scandinavian Conference on Image Analysis (SCIA). Pages 182-194. 2013.
[bibtex] [pdf]
An Efficient Approximation for Gaussian Process Regression.
Paul Bodesheim and Alexander Freytag and Erik Rodner and Joachim Denzler. (2013) Technical Report TR-FSU-INF-CV-2013-01
[bibtex] [pdf]
I Want To Know More: Efficient Multi-Class Incremental Learning Using Gaussian Processes.
Alexander Lütz and Erik Rodner and Joachim Denzler.
Pattern Recognition and Image Analysis. Advances in Mathematical Theory and Applications (PRIA). 23 (3): pages 402-407. 2013.
[bibtex] [pdf]
Automatic Identification of Novel Bacteria using Raman Spectroscopy and Gaussian Processes.
Michael Kemmler and Erik Rodner and Petra Rösch and Jürgen Popp and Joachim Denzler.
Analytica Chimica Acta. pages 29-37. 2013.
[bibtex] [pdf] [web] [supplementary]
Scalable Transform-based Domain Adaptation.
Erik Rodner and Judy Hoffman and Jeff Donahue and Trevor Darrell and Kate Saenko.
ICCV Workshop on Visual Domain Adaptation (ICCV-WS). 2013.
[bibtex] [pdf]
Beyond the closed-world assumption: The importance of novelty detection and open set recognition.
Joachim Denzler and Erik Rodner and Paul Bodesheim and Alexander Freytag.
GCPR Workshop on Unsolved Problems in Pattern Recognition (GCPR-WS). 2013.
[bibtex] [pdf]
Efficient Learning of Domain-invariant Image Representations.
Judy Hoffman and Erik Rodner and Jeff Donahue and Trevor Darrell and Kate Saenko.
International Conference on Learning Representations (ICLR). 2013.
[bibtex] [pdf]
One-class Classification with Gaussian Processes.
Michael Kemmler and Erik Rodner and Esther-Sabrina Wacker and Joachim Denzler.
Pattern Recognition. pages 3507-3518. 2013.
[bibtex] [pdf]
Segmentation of Microorganism in Complex Environments.
Michael Kemmler and Björn Fröhlich and Erik Rodner and Joachim Denzler.
Pattern Recognition and Image Analysis. Advances in Mathematical Theory and Applications (PRIA). 23 (4): pages 512-517. 2013.
[bibtex] [pdf]
Labeling examples that matter: Relevance-Based Active Learning with Gaussian Processes.
Alexander Freytag and Erik Rodner and Paul Bodesheim and Joachim Denzler.
German Conference on Pattern Recognition (GCPR). Pages 282-291. 2013.
[bibtex] [pdf] [code] [supplementary] [abstract]
Kernel Null Space Methods for Novelty Detection.
Paul Bodesheim and Alexander Freytag and Erik Rodner and Michael Kemmler and Joachim Denzler.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Pages 3374-3381. 2013.
[bibtex] [pdf] [web] [code] [presentation]
Large-Scale Gaussian Process Multi-Class Classification for Semantic Segmentation and Facade Recognition.
Björn Fröhlich and Erik Rodner and Michael Kemmler and Joachim Denzler.
Machine Vision and Applications. 24 (5): pages 1043-1053. 2013.
[bibtex] [pdf]

2012

Large-Scale Gaussian Process Classification using Random Decision Forests.
Björn Fröhlich and Erik Rodner and Michael Kemmler and Joachim Denzler.
Pattern Recognition and Image Analysis. Advances in Mathematical Theory and Applications (PRIA). 22 (1): pages 113-120. 2012.
[bibtex] [pdf]
Semantic Segmentation with Millions of Features: Integrating Multiple Cues in a Combined Random Forest Approach.
Björn Fröhlich and Erik Rodner and Joachim Denzler.
Asian Conference on Computer Vision (ACCV). Pages 218-231. 2012.
[bibtex] [pdf]
Beyond Classification - Large-scale Gaussian Process Inference and Uncertainty Prediction.
Alexander Freytag and Erik Rodner and Paul Bodesheim and Joachim Denzler.
Big Data Meets Computer Vision: First International Workshop on Large Scale Visual Recognition and Retrieval (NIPS-WS). 2012. This workshop article is a short version abstract of our ACCV'12 paper.
[bibtex] [pdf]
Rapid Uncertainty Computation with Gaussian Processes and Histogram Intersection Kernels.
Alexander Freytag and Erik Rodner and Paul Bodesheim and Joachim Denzler.
Asian Conference on Computer Vision (ACCV). Pages 511-524. 2012. Best Paper Honorable Mention Award
[bibtex] [pdf] [presentation]
Large-Scale Gaussian Process Classification with Flexible Adaptive Histogram Kernels.
Erik Rodner and Alexander Freytag and Paul Bodesheim and Joachim Denzler.
European Conference on Computer Vision (ECCV). Pages 85-98. 2012.
[bibtex] [pdf] [supplementary]
Lernen mit wenigen Beispielen für die visuelle Objekterkennung.
Erik Rodner.
Ausgezeichnete Informatikdissertationen 2011. 2012. in german
[bibtex] [pdf] [web]
Efficient Semantic Segmentation with Gaussian Processes and Histogram Intersection Kernels.
Alexander Freytag and Björn Fröhlich and Erik Rodner and Joachim Denzler.
International Conference on Pattern Recognition (ICPR). Pages 3313-3316. 2012.
[bibtex] [pdf]
Multi-Person Tracking-by-Detection based on Calibrated Multi-Camera Systems.
Xiaoyan Jiang and Erik Rodner and Joachim Denzler.
International Conference on Computer Vision and Graphics. Pages 743-751. 2012.
[bibtex] [pdf]
As Time Goes By: Anytime Semantic Segmentation with Iterative Context Forests.
Björn Fröhlich and Erik Rodner and Joachim Denzler.
Symposium of the German Association for Pattern Recognition (DAGM). Pages 1-10. 2012.
[bibtex] [pdf]
Divergence-Based One-Class Classification Using Gaussian Processes.
Paul Bodesheim and Erik Rodner and Alexander Freytag and Joachim Denzler.
British Machine Vision Conference (BMVC). Pages 50.1-50.11. 2012. http://dx.doi.org/10.5244/C.26.50
[bibtex] [pdf] [presentation]

2011

Efficient Multi-Class Incremental Learning Using Gaussian Processes.
Alexander Lütz and Erik Rodner and Joachim Denzler.
Open German-Russian Workshop on Pattern Recognition and Image Understanding (OGRW). Pages 182-185. 2011.
[bibtex] [pdf] [abstract]
One-Class Classification for Anomaly Detection in Wire Ropes with Gaussian Processes in a Few Lines of Code.
Erik Rodner and Esther-Sabrina Wacker and Michael Kemmler and Joachim Denzler.
Machine Vision Applications (MVA). Pages 219-222. 2011.
[bibtex] [pdf]
Detection of Microorganisms in Complex Microscopy Images.
Michael Kemmler and Björn Fröhlich and Erik Rodner and Joachim Denzler.
Open German-Russian Workshop on Pattern Recognition and Image Understanding (OGRW). Pages 115-118. 2011.
[bibtex] [pdf]
Learning with Few Examples for Binary and Multiclass Classification Using Regularization of Randomized Trees.
Erik Rodner and Joachim Denzler.
Pattern Recognition Letters. 32 (2): pages 244-251. 2011.
[bibtex] [pdf]
Efficient Gaussian process classification using random decision forests.
Björn Fröhlich and Erik Rodner and Michael Kemmler and Joachim Denzler.
Pattern Recognition and Image Analysis. Advances in Mathematical Theory and Applications (PRIA). pages 184-187. 2011. 10.1134/S1054661811020337
[bibtex] [pdf]
Learning from Few Examples for Visual Recognition Problems.
Erik Rodner. (2011)
[bibtex] [pdf] [web]

2010

Efficient Gaussian Process Classification using Random Decision Forests.
Björn Fröhlich and Erik Rodner and Michael Kemmler and Joachim Denzler.
International Conference on Pattern Recognition and Image Analysis (PRIA), St. Petersburg, Russia. Pages 93-96. 2010.
[bibtex] [pdf]
A Fast Approach for Pixelwise Labeling of Facade Images.
Björn Fröhlich and Erik Rodner and Joachim Denzler.
International Conference on Pattern Recognition (ICPR). Pages 3029-3032. 2010.
[bibtex] [pdf]
One-Class Classification with Gaussian Processes.
Michael Kemmler and Erik Rodner and Joachim Denzler.
Asian Conference on Computer Vision (ACCV). Pages 489-500. 2010.
[bibtex] [pdf] [presentation]
One-Shot Learning of Object Categories using Dependent Gaussian Processes.
Erik Rodner and Joachim Denzler.
Annual Symposium of the German Association for Pattern Recognition (DAGM). Pages 232-241. 2010.
[bibtex] [pdf]
Multiple Kernel Gaussian Process Classification for Generic 3D Object Recognition From Time-of-Flight Images.
Erik Rodner and Doaa Hegazy and Joachim Denzler.
International Conference on Image and Vision Computing. Pages 1-8. 2010.
[bibtex] [pdf] [web]

2009

Learning with Few Examples by Transferring Feature Relevance.
Erik Rodner and Joachim Denzler.
Annual Symposium of the German Association for Pattern Recognition (DAGM). Pages 252-261. 2009.
[bibtex] [pdf]
Global Context Extraction for Object Recognition Using a Combination of Range and Visual Features.
Michael Kemmler and Erik Rodner and Joachim Denzler.
Dynamic 3D Imaging Workshop. Pages 96-109. 2009.
[bibtex] [pdf]
Randomized Probabilistic Latent Semantic Analysis for Scene Recognition.
Erik Rodner and Joachim Denzler.
Iberoamerican Congress on Pattern Recognition (CIARP). Pages 945-953. 2009.
[bibtex] [pdf]

2008

On Fusion of Range and Intensity Information Using Graph-Cut for Planar Patch Segmentation.
Olaf Kähler and Erik Rodner and Joachim Denzler.
International Journal of Intelligent Systems Technologies and Applications. 5 (3/4): pages 365-373. 2008.
[bibtex] [pdf] [abstract]
Learning with Few Examples using a Constrained Gaussian Prior on Randomized Trees.
Erik Rodner and Joachim Denzler.
Vision, Modelling, and Visualization Workshop (VMV). Pages 159-168. 2008.
[bibtex] [pdf]
Difference of Boxes Filters Revisited: Shadow Suppression and Efficient Character Segmentation.
Erik Rodner and Herbert Süße and Wolfgang Ortmann and Joachim Denzler.
IAPR Workshop on Document Analysis Systems. Pages 263-269. 2008.
[bibtex] [pdf] [presentation] [abstract]

2007

On Fusion of Range and Intensity Information Using Graph-Cut for Planar Patch Segmentation.
Olaf Kähler and Erik Rodner and Joachim Denzler.
Proceedings Dynamic 3D Imaging Workshop. Pages 113-121. 2007. also appeared in International Journal of Intelligent Systems Technologies and Applications, Vol. 5, No. 3/4, pp.365-373
[bibtex] [abstract]