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Active and Incremental Learning with Weak Supervision
Künstliche Intelligenz (KI). 2020. [bibtex] [pdf] [abstract] |
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Information-Theoretic Active Learning for Content-Based Image Retrieval
DAGM German Conference on Pattern Recognition (DAGM-GCPR). Pages 650-666. 2019. [bibtex] [pdf] [code] [supplementary] [abstract] |
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Active Learning for Deep Object Detection
International Conference on Computer Vision Theory and Applications (VISAPP). Pages 181-190. 2019. [bibtex] [pdf] [abstract] |
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Active Learning for Regression Tasks with Expected Model Output Changes
British Machine Vision Conference (BMVC). 2018. [bibtex] [pdf] [code] [supplementary] [abstract] |
Keeping the Human in the Loop: Towards Automatic Visual Monitoring in Biodiversity Research
International Conference on Ecological Informatics (ICEI). Pages 16. 2018. [bibtex] [abstract] |
You Have To Look More Than Once: Active and Continuous Exploration using YOLO
CVPR Workshop on Continuous and Open-Set Learning (CVPR-WS). 2017. Extended Abstract + Poster Presentation [bibtex] [abstract] |
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Towards Automated Visual Monitoring of Individual Gorillas in the Wild
ICCV Workshop on Visual Wildlife Monitoring (ICCV-WS). Pages 2820-2830. 2017. [bibtex] [pdf] [abstract] |
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Finding the Unknown: Novelty Detection with Extreme Value Signatures of Deep Neural Activations
DAGM German Conference on Pattern Recognition (DAGM-GCPR). Pages 226-238. 2017. [bibtex] [pdf] [supplementary] [abstract] |
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Fast Learning and Prediction for Object Detection using Whitened CNN Features
arXiv preprint arXiv:1704.02930. 2017. [bibtex] [pdf] [web] |
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Fine-tuning Deep Neural Networks in Continuous Learning Scenarios
ACCV Workshop on Interpretation and Visualization of Deep Neural Nets (ACCV-WS). 2016. [bibtex] [pdf] [web] [supplementary] [abstract] |
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Active and Continuous Exploration with Deep Neural Networks and Expected Model Output Changes
NIPS Workshop on Continual Learning and Deep Networks (NIPS-WS). 2016. [bibtex] [pdf] [web] [abstract] |
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Large-scale Active Learning with Approximated Expected Model Output Changes
DAGM German Conference on Pattern Recognition (DAGM-GCPR). Pages 179-191. 2016. [bibtex] [pdf] [web] [code] [supplementary] [abstract] |
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Watch, Ask, Learn, and Improve: A Lifelong Learning Cycle for Visual Recognition
European Symposium on Artificial Neural Networks (ESANN). Pages 381-386. 2016. [bibtex] [pdf] [code] [presentation] [abstract] |
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Active Learning and Discovery of Object Categories in the Presence of Unnameable Instances
IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Pages 4343-4352. 2015. [bibtex] [pdf] [web] [code] [presentation] [supplementary] [abstract] |
ERNA - Embedded, Self-Calibrating Robotic-Arm for Gamificated Learning
Communications, Circuits and Educational Technologies, International Conference on Education and Educational Technologies II (ECS-EET). Pages 19-24. 2014. [bibtex] |
Universal Eye-tracking Based Text Cursor Warping
Symposium on Eye Tracking Research and Applications (ETRA). Pages 361-364. 2012. [bibtex] |