Christoph Käding
Christoph Käding
Institute of Data Science, German Aerospace Center (DLR)
Vahvistettu sähköpostiosoite verkkotunnuksessa dlr.de
Nimike
Viittaukset
Viittaukset
Vuosi
Active learning and discovery of object categories in the presence of unnameable instances
C Käding, A Freytag, E Rodner, P Bodesheim, J Denzler
Computer Vision and Pattern Recognition (CVPR), 2015 IEEE Conference on …, 2015
592015
Fine-tuning Deep Neural Networks in Continuous Learning Scenarios
C Käding, E Rodner, A Freytag, J Denzler
ACCV Workshop on Interpretation and Visualization of Deep Neural Nets (ACCV-WS), 2016
542016
Towards Automated Visual Monitoring of Individual Gorillas in the Wild
CA Brust, T Burghardt, M Groenenberg, C Käding, HS Kühl, ...
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
372017
Active Learning for Deep Object Detection
CA Brust, C Käding, J Denzler
arXiv preprint arXiv:1809.09875, 2018
342018
Active and Continuous Exploration with Deep Neural Networks and Expected Model Output Changes
C Käding, E Rodner, A Freytag, J Denzler
NIPS Workshop on Continual Learning and Deep Networks (NIPS-WS), 2016
322016
Large-Scale Active Learning with Approximations of Expected Model Output Changes
C Käding, A Freytag, E Rodner, A Perino, J Denzler
German Conference on Pattern Recognition, 179-191, 2016
162016
Finding the Unknown: Novelty Detection with Extreme Value Signatures of Deep Neural Activations
A Schultheiss, C Käding, A Freytag, J Denzler
German Conference on Pattern Recognition, 226-238, 2017
132017
Active Learning for Regression Tasks with Expected Model Output Changes
C Käding, E Rodner, A Freytag, O Mothes, B Barz, J Denzler
122018
Watch, Ask, Learn, and Improve: A Lifelong Learning Cycle for Visual Recognition
C Käding, E Rodner, A Freytag, J Denzler
European Symposium on Artificial Neural Networks (ESANN), 2016
92016
Active and Incremental Learning with Weak Supervision
CA Brust, C Käding, J Denzler
KI-Künstliche Intelligenz, 1-16, 2020
42020
Fast Learning and Prediction for Object Detection using Whitened CNN Features
B Barz, E Rodner, C Käding, J Denzler
arXiv preprint arXiv:1704.02930, 2017
32017
Universal eye-tracking based text cursor warping
R Biedert, A Dengel, C Käding
Proceedings of the Symposium on Eye Tracking Research and Applications, 361-364, 2012
32012
Information-Theoretic Active Learning for Content-Based Image Retrieval
B Barz, C Käding, J Denzler
German Conference on Pattern Recognition, 650-666, 2018
22018
A Benchmark for Bivariate Causal Discovery Methods
C Käding, J Runge
EGU21, 2021
2021
Comparing Causal Discovery Methods using Synthetic and Real Data
C Käding, J Runge
EGU General Assembly 2020, 2020
2020
Keeping the Human in the Loop: Towards Automatic Visual Monitoring in Biodiversity Research
J Denzler, C Käding, CA Brust
10th International Conference on Ecological Informatics (ICEI), 16, 2018
2018
You have to look more than once: active and continuous exploration using YOLO
CA Brust, C Käding, J Denzler
International Conference on Computer Vision and Pattern Recognition 2017 …, 2017
2017
ERNA-Embedded, Self-Calibrating Robotic-Arm for Gamificated Learning
C Seeger, C Käding, C Manthey, D Neuhäuser
Communications, Circuits and Educational Technologies, Proceedings of the …, 2014
2014
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Artikkelit 1–18