2022

Pre-trained models are not enough: active and lifelong learning is important for long-term visual monitoring of mammals in biodiversity research. Individual identification and attribute prediction with image features from deep neural networks and decoupled decision models applied to elephants and great apes
Paul Bodesheim and Jan Blunk and Matthias Körschens and Clemens-Alexander Brust and Christoph Käding and Joachim Denzler.
Mammalian Biology. 102: pages 875-897. 2022.
[bibtex] [pdf] [web] [abstract]

2020

Active and Incremental Learning with Weak Supervision
Clemens-Alexander Brust and Christoph Käding and Joachim Denzler.
Künstliche Intelligenz (KI). 2020.
[bibtex] [pdf] [abstract]

2019

Information-Theoretic Active Learning for Content-Based Image Retrieval
Björn Barz and Christoph Käding and Joachim Denzler.
DAGM German Conference on Pattern Recognition (DAGM-GCPR). 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 Conference on Computer Vision Theory and Applications (VISAPP). Pages 181-190. 2019.
[bibtex] [pdf] [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

You Have To Look More Than Once: Active and Continuous Exploration using YOLO
Clemens-Alexander Brust and Christoph Käding and Joachim Denzler.
CVPR Workshop on Continuous and Open-Set Learning (CVPR-WS). 2017. Extended Abstract + Poster Presentation
[bibtex] [abstract]
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 Manguette and Joachim Denzler.
ICCV Workshop on Visual Wildlife Monitoring (ICCV-WS). Pages 2820-2830. 2017.
[bibtex] [pdf] [abstract]
Finding the Unknown: Novelty Detection with Extreme Value Signatures of Deep Neural Activations
Alexander Schultheiss and Christoph Käding and Alexander Freytag and Joachim Denzler.
DAGM German Conference on Pattern Recognition (DAGM-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]

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.
DAGM German Conference on Pattern Recognition (DAGM-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]