Alexander Freytag
Alexander Freytag
Carl Zeiss, Corporate Research and Technology & University of Jena
確認したメール アドレス: uni-jena.de - ホームページ
タイトル
引用先
引用先
Nonparametric part transfer for fine-grained recognition
C Goring, E Rodner, A Freytag, J Denzler
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014
1232014
Selecting Influential Examples: Active Learning with Expected Model Output Changes
A Freytag, E Rodner, J Denzler
European Conference on Computer Vision (ECCV), 2014
1062014
Kernel Null Space Methods for Novelty Detection
P Bodesheim, A Freytag, E Rodner, M Kemmler, J Denzler
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 3374--3381, 2013
1002013
Active Learning and Discovery of Object Categories in the Presence of Unnameable Instances
C Kading, A Freytag, E Rodner, P Bodesheim, J Denzler
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 4343-4352, 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
532016
Chimpanzee Faces in the Wild: Log-Euclidean CNNs for Predicting Identities and Attributes of Primates
A Freytag, E Rodner, M Simon, A Loos, H Kühl, J Denzler
German Conference on Pattern Recognition (GCPR), 2016
512016
Local Novelty Detection in Multi-class Recognition Problems
P Bodesheim, A Freytag, E Rodner, J Denzler
IEEE Winter Conference on Applications of Computer Vision (WACV), 2015
392015
Active and Continuous Exploration with Deep Neural Networks and Expected Model Output Changes
C Käding, E Rodner, A Freytag, J Denzler
arXiv preprint arXiv:1612.06129, 2016
322016
Labeling examples that matter: Relevance-Based Active Learning with Gaussian Processes
A Freytag, E Rodner, P Bodesheim, J Denzler
German Conference on Pattern Recognition (GCPR), 282-291, 2013
302013
Large-scale gaussian process classification with flexible adaptive histogram kernels
E Rodner, A Freytag, P Bodesheim, J Denzler
European Conference on Computer Vision (ECCV), 85-98, 2012
282012
Rapid uncertainty computation with gaussian processes and histogram intersection kernels
A Freytag, E Rodner, P Bodesheim, J Denzler
Asian Conference on Computer Vision (ACCV), 511-524, 2012
212012
Large-scale Active Learning with Approximations of Expected Model Output Changes–Supplementary Material–
C Käding, A Freytag, E Rodner, A Perino, J Denzler
German Conference on Pattern Recognition (GCPR), 2016
16*2016
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 (GCPR), 2016
162016
Exemplar-Specific Patch Features for Fine-Grained Recognition
A Freytag, E Rodner, T Darrell, J Denzler
German Conference on Pattern Recognition (GCPR), 144-156, 2014
132014
Active Learning for Regression Tasks with Expected Model Output Changes–Supplementary Material
C Käding, E Rodner, A Freytag, O Mothes, B Barz, J Denzler
British Machine Vision Conference (BMVC), 2018
12*2018
Active Learning for Regression Tasks with Expected Model Output Changes
C Käding, E Rodner, A Freytag, O Mothes, B Barz, J Denzler
British Machine Vision Conference (BMVC), 2018
122018
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
122017
I want to know more—efficient multi-class incremental learning using Gaussian processes
A Lütz, E Rodner, J Denzler
Pattern recognition and image analysis 23 (3), 402-407, 2013
122013
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
Divergence-Based One-Class Classification Using Gaussian Processes
P Bodesheim, E Rodner, A Freytag, J Denzler
British Machine Vision Conference (BMVC) 37 (1), 50.1--50.11, 2012
82012
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