Christoph Käding

According to our database, Christoph Käding authored at least 15 papers between 2012 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Distinguishing Cause and Effect in Bivariate Structural Causal Models: A Systematic Investigation.

Christoph Käding, Jakob Runge

J. Mach. Learn. Res., 2023

2020

Human-in-the-loop: lifelong learning for shallow and deep models / von M.Sc. Christoph Käding.

Christoph Käding

PhD thesis, 2020

Active and Incremental Learning with Weak Supervision.

Clemens-Alexander Brust, Christoph Käding, Joachim Denzler

Künstliche Intell., 2020

2019

Active Learning for Deep Object Detection.

Clemens-Alexander Brust, Christoph Käding, Joachim Denzler

Proceedings of the 14th International Joint Conference on Computer Vision, 2019

2018

Information-Theoretic Active Learning for Content-Based Image Retrieval.

Björn Barz, Christoph Käding, Joachim Denzler

Proceedings of the Pattern Recognition - 40th German Conference, 2018

Active Learning for Regression Tasks with Expected Model Output Changes.

Christoph Käding, Erik Rodner, Alexander Freytag, Oliver Mothes, Björn Barz, Joachim Denzler

Proceedings of the British Machine Vision Conference 2018, 2018

2017

Fast Learning and Prediction for Object Detection using Whitened CNN Features.

Björn Barz, Erik Rodner, Christoph Käding, Joachim Denzler

CoRR, 2017

Towards Automated Visual Monitoring of Individual Gorillas in the Wild.

Clemens-Alexander Brust, Tilo Burghardt, Milou Groenenberg, Christoph Käding, Hjalmar S. Kühl, Marie L. Manguette, Joachim Denzler

Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

Finding the Unknown: Novelty Detection with Extreme Value Signatures of Deep Neural Activations.

Alexander Schultheiß, Christoph Käding, Alexander Freytag, Joachim Denzler

Proceedings of the Pattern Recognition - 39th German Conference, 2017

2016

Active and Continuous Exploration with Deep Neural Networks and Expected Model Output Changes.

Christoph Käding, Erik Rodner, Alexander Freytag, Joachim Denzler

CoRR, 2016

Watch, Ask, Learn, and Improve: a lifelong learning cycle for visual recognition.

Christoph Käding, Erik Rodner, Alexander Freytag, Joachim Denzler

Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

Large-Scale Active Learning with Approximations of Expected Model Output Changes.

Christoph Käding, Alexander Freytag, Erik Rodner, Andrea Perino, Joachim Denzler

Proceedings of the Pattern Recognition - 38th German Conference, 2016

Fine-Tuning Deep Neural Networks in Continuous Learning Scenarios.

Christoph Käding, Erik Rodner, Alexander Freytag, Joachim Denzler

Proceedings of the Computer Vision - ACCV 2016 Workshops, 2016

2015

Active learning and discovery of object categories in the presence of unnameable instances.

Christoph Käding, Alexander Freytag, Erik Rodner, Paul Bodesheim, Joachim Denzler

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2012

Universal eye-tracking based text cursor warping.

Ralf Biedert, Andreas Dengel, Christoph Käding

Proceedings of the 2012 Symposium on Eye-Tracking Research and Applications, 2012