2019

Information-Theoretic Active Learning for Content-Based Image Retrieval.
Björn Barz and Christoph Käding and Joachim Denzler.
German Conference on Pattern Recognition (GCPR) 2018. Lecture Notes in Computer Science. Pages 650-666. 2019.
[bibtex] [pdf] [code] [supplementary] [abstract]
Active Learning for Deep Object Detection.
Clemens-Alexander Brust and Christoph Käding and Joachim Denzler.
International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISAPP). Pages 181-190. 2019.
[bibtex] [pdf] [web] [abstract]

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]
Keeping the Human in the Loop: Towards Automatic Visual Monitoring in Biodiversity Research.
Joachim Denzler and Christoph Käding and Clemens-Alexander Brust.
International Conference on Ecological Informatics (ICEI). Pages 16. 2018.
[bibtex] [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]
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]
Towards Automated Visual Monitoring of Individual Gorillas in the Wild.
Clemens-Alexander Brust and Tilo Burghardt and Milou Groenenberg and Christoph Käding and Hjalmar Kühl and Marie L. Manguette and Joachim Denzler.
ICCV Workshop on Visual Wildlife Monitoring (ICCV-WS). Pages 2820-2830. 2017.
[bibtex] [pdf] [web] [abstract]

2016

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]
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]
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]
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]

2014

ERNA - Embedded, Self-Calibrating Robotic-Arm for Gamificated Learning.
Carsten Seeger and Christoph Käding and Christopher Manthey and David Neuhäuser.
Communications, Circuits and Educational Technologies, International Conference on Education and Educational Technologies II (ECS-EET). Pages 19-24. 2014.
[bibtex]

2012

Universal Eye-tracking Based Text Cursor Warping.
Ralf Biedert and Andreas Dengel and Christoph Käding.
Symposium on Eye Tracking Research and Applications (ETRA). Pages 361-364. 2012.
[bibtex]