Christoph Käding

18 papers A* 1A 1B 2Journal 7Unranked 6

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	Distinguishing Cause and Effect in Bivariate Structural Causal Models: A Systematic Investigation. J. Mach. Learn. Res. Christoph Käding, Jakob Runge
2020	J	`jnl`	Active and Incremental Learning with Weak Supervision. CoRR Clemens-Alexander Brust, Christoph Käding, Joachim Denzler
2020	J	`jnl`	Active and Incremental Learning with Weak Supervision. Künstliche Intell. Clemens-Alexander Brust, Christoph Käding, Joachim Denzler
2020	—	`—`	Human-in-the-loop: lifelong learning for shallow and deep models / von M.Sc. Christoph Käding. Christoph Käding
2019	—	`conf`	Active Learning for Deep Object Detection. VISIGRAPP (5: VISAPP) Clemens-Alexander Brust, Christoph Käding, Joachim Denzler
2018	J	`jnl`	Active Learning for Deep Object Detection. CoRR Clemens-Alexander Brust, Christoph Käding, Joachim Denzler
2018	A	`conf`	Active Learning for Regression Tasks with Expected Model Output Changes. BMVC Christoph Käding, Erik Rodner, Alexander Freytag, Oliver Mothes, Björn Barz, Joachim Denzler
2018	—	`conf`	Information-Theoretic Active Learning for Content-Based Image Retrieval. GCPR Björn Barz, Christoph Käding, Joachim Denzler
2018	J	`jnl`	Information-Theoretic Active Learning for Content-Based Image Retrieval. CoRR Björn Barz, Christoph Käding, Joachim Denzler
2017	J	`jnl`	Fast Learning and Prediction for Object Detection using Whitened CNN Features. CoRR Björn Barz, Erik Rodner, Christoph Käding, Joachim Denzler
2017	—	`conf`	Finding the Unknown: Novelty Detection with Extreme Value Signatures of Deep Neural Activations. GCPR Alexander Schultheiß, Christoph Käding, Alexander Freytag, Joachim Denzler
2017	—	`conf`	Towards Automated Visual Monitoring of Individual Gorillas in the Wild. ICCV Workshops Clemens-Alexander Brust, Tilo Burghardt, Milou Groenenberg, Christoph Käding, Hjalmar S. Kühl, Marie L. Manguette, Joachim Denzler
2016	J	`jnl`	Active and Continuous Exploration with Deep Neural Networks and Expected Model Output Changes. CoRR Christoph Käding, Erik Rodner, Alexander Freytag, Joachim Denzler
2016	—	`conf`	Fine-Tuning Deep Neural Networks in Continuous Learning Scenarios. ACCV Workshops (3) Christoph Käding, Erik Rodner, Alexander Freytag, Joachim Denzler
2016	—	`conf`	Large-Scale Active Learning with Approximations of Expected Model Output Changes. GCPR Christoph Käding, Alexander Freytag, Erik Rodner, Andrea Perino, Joachim Denzler
2016	B	`conf`	Watch, Ask, Learn, and Improve: a lifelong learning cycle for visual recognition. ESANN Christoph Käding, Erik Rodner, Alexander Freytag, Joachim Denzler
2015	A*	`conf`	Active learning and discovery of object categories in the presence of unnameable instances. CVPR Christoph Käding, Alexander Freytag, Erik Rodner, Paul Bodesheim, Joachim Denzler
2012	B	`conf`	Universal eye-tracking based text cursor warping. ETRA Ralf Biedert, Andreas Dengel, Christoph Käding