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]

2017

Finding the Unknown: Novelty Detection with Extreme Value Signatures of Deep Neural Activations.
Alexander Schultheiss and Christoph Käding and Alexander Freytag and Joachim Denzler.
German Conference on Pattern Recognition (GCPR). Pages 226-238. 2017.
[bibtex] [pdf] [supplementary] [abstract]
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]

2016

Lifelong Learning for Visual Recognition Systems.
Alexander Freytag. (2016) ISBN 9783843929950
[bibtex] [pdf] [web]
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]
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]
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]

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]
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]
Interactive Image Retrieval for Biodiversity Research.
Alexander Freytag and Alena Schadt and Joachim Denzler.
German Conference on Pattern Recognition (GCPR). Pages 129-141. 2015.
[bibtex] [pdf] [abstract]

2014

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]
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]
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]
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]

2013

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]
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]
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]
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]
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]

2012

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]
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]
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]
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]