2010: Studienarbeit "Erweiterung des Kennzeichenlesers LprJ - Konfidenzbewertung von Kennzeichenhypothesen"
2011: Diplomarbeit "Bildbasierte Kernfunktionen - Robuste Klassifikation und halbüberwachte Objektlokalisation durch Optimierung von Hyperparametern" pdf (16.5MB)
Veröffentlichungen (Hauptforschungsthemen, nicht aktualisiert seit 2015)
Large-Scale Gaussian Processes using Histogram Intersection Kernels
[Rodner12:LGP]
Erik Rodner and Alexander Freytag and Paul Bodesheim and Joachim Denzler. Large-Scale Gaussian Process Classification with Flexible Adaptive Histogram Kernels. European Conference on Computer Vision (ECCV).2012.85--98. [pdf] [bib][project page]
[Freytag12:RUC]
Alexander Freytag and Erik Rodner and Paul Bodesheim and Joachim Denzler. Rapid Uncertainty Computation with Gaussian Processes and Histogram Intersection Kernels. Asian Conference on Computer Vision (ACCV).2012.511--524.(Oral). [pdf] [bib][project page]Best Paper Honorable Mention
[Freytag12:BCL]
Alexander Freytag and Erik Rodner and Paul Bodesheim and Joachim Denzler. Beyond Classification - Large-scale Gaussian Process Inference and Uncertainty Prediction. Big Data Meets Computer Vision: First International Workshop on Large Scale Visual Recognition and Retrieval (NIPS Workshop).2012. [pdf] [bib]
[Freytag12:ESS]
Alexander Freytag and Björn Fröhlich and Erik Rodner and Joachim Denzler. Efficient Semantic Segmentation with Gaussian Processes and Histogram Intersection Kernels. International Conference on Pattern Recognition (ICPR).2012.3313--3316. (Oral). [pdf] [bib][project page]
Active Learning
[Kaeding15_ALD]
Christoph Käding and Alexander Freytag and Erik Rodner and Paul Bodesheim and Joachim Denzler. Active Learning and Discovery of Object Categories in the Presence of Unnameable Instances. IEEE Conference on Computer Vision and Pattern Recognition (CVPR).2015.4343-4352.[pdf][bib][presentation][supplementary]
[Freytag14_SIE]
Alexander Freytag and Erik Rodner and Joachim Denzler. Selecting Influential Examples: Active Learning with Expected Model Output Changes. European Conference on Computer Vision (ECCV).2014.562--577.[pdf][supplementary material] [bib]
[Freytag13:LET]
Alexander Freytag and Erik Rodner and Paul Bodesheim and Joachim Denzler. Labeling examples that matter: Relevance-Based Active Learning with Gaussian Processes. German Conference on Pattern Recognition (GCPR).2013.282--291.(Oral).[pdf] [supplementary material] [bib][code]
[Freytag12:RUC]
Alexander Freytag and Erik Rodner and Paul Bodesheim and Joachim Denzler. Rapid Uncertainty Computation with Gaussian Processes and Histogram Intersection Kernels. Asian Conference on Computer Vision (ACCV).2012.511--524.(Oral). [pdf] [bib][project page]Best Paper Honorable Mention
[Freytag12:BCL]
Alexander Freytag and Erik Rodner and Paul Bodesheim and Joachim Denzler. Beyond Classification - Large-scale Gaussian Process Inference and Uncertainty Prediction. Big Data Meets Computer Vision: First International Workshop on Large Scale Visual Recognition and Retrieval (NIPS Workshop).2012. [pdf] [bib]
One-Class Classification and Novelty Detection
[Bodesheim15:LND]
Paul Bodesheim and Alexander Freytag and Erik Rodner and Joachim Denzler. Local Novelty Detection in Multi-class Recognition Problems. IEEE Winter Conference on Applications of Computer Vision (WACV).2015.813-820.[pdf][bib]
[Bodesheim13:KNS]
Paul Bodesheim and Alexander Freytag and Erik Rodner and Michael Kemmler and Joachim Denzler. Kernel Null Space Methods for Novelty Detection. IEEE Conference on Computer Vision and Pattern Recognition (CVPR).2013.3374--3381. [pdf] [bib]
[Bodesheim12:DOC]
Paul Bodesheim and Erik Rodner and Alexander Freytag and Joachim Denzler. Divergence-Based One-Class Classification Using Gaussian Processes. British Machine Vision Conference (BMVC).2012.50.1--50.11 . [pdf] [bib][project page]
Fine-grained Recognition
[Freytag15:IIR]
Alexander Freytag and Alena Schadt and Joachim Denzler. Interactive Image Retrieval for Biodiversity Research. German Conference on Pattern Recognition (GCPR).2015.(accepted for publication).(Oral).[pdf][bib]
[Freytag14:ESP]
Alexander Freytag and Erik Rodner and Trevor Darrell and Joachim Denzler. Exemplar-specific Patch Features for Fine-grained Recognition. German Conference on Pattern Recognition (GCPR). 2014.144--156.(Oral).[pdf][bib][code]
[Freytag14:BFF]
Alexander Freytag and Erik Rodner and Joachim Denzler. Birds of a Feather Flock Together - Local Learning of Mid-level Representations for Fine-grained Recognition. ECCV Workshop on Parts and Attributes. 2014.[pdf][bib][code]
[Goering14:NPT]
Christoph Göring and Erik Rodner and Alexander Freytag and Joachim Denzler. Nonparametric Part Transfer for Fine-grained Recognition. IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2014.[pdf][bib][code]
[Goering13:FGC]
Christoph Göring and Alexander Freytag and Erik Rodner and Joachim Denzler. Fine-grained Categorization - Short Summary of our Entry for the ImageNet Challenge 2012. arXiv preprint arXiv:1310.4759. 2013.[pdf][bib]
Incremental Learning
[Luetz13:IWT]
Alexander Lütz and Erik Rodner and Joachim Denzler. I Want To Know More -Efficient Multi-Class Incremental Learning Using Gaussian Processes. Pattern Recognition and Image Analysis.2013.Vol. 23. No. 3. 402--407. [pdf][bib]
[Luetz11:EIL]
Alexander Lütz and Erik Rodner and Joachim Denzler. Efficient Multi-Class Incremental Learning Using Gaussian Processes. Open German-Russian Workshop on Pattern Recognition and Image Understanding (OGRW).2011.182--185. (Oral). [pdf] [bib]
Veröffentlichungen (weitere Themen, nicht aktualisiert seit 2015)
Visual Feature Analysis
[Freytag14:STB]
Alexander Freytag and Johannes Rühle and Paul Bodesheim and Erik Rodner and Joachim Denzler: Seeing through bag-of-visual-word glasses: towards understanding quantization effects in feature extraction methods. ICPR Workshop on Features and Structures (FEAST).2014. [extendedAbstact] [bib] [techReport] [poster] Best Poster Award
Robust Classification and Semi-supervised Object Localization
[Luetz11:RC]
Alexander Lütz. Robust Classification and Semi-Supervised Object Localization with Gaussian Processes. Annual Symposium of the German Association for Pattern Recognition (DAGM).2011.456--461. [pdf] [bib]
Approximating Gaussian Process Regression
[Bodesheim13:AOG]
Paul Bodesheim and Alexander Freytag and Erik Rodner and Joachim Denzler. Approximations of Gaussian Process Uncertainties for Visual Recognition Problems.> Scandinavian Conference on Image Analysis (SCIA). 2013.182--194. [pdf] [bib]
[Bodesheim13:AEA]
Paul Bodesheim and Alexander Freytag and Erik Rodner and Joachim Denzler. An Efficient Approximation for Gaussian Process Regression. Technical Report TR-FSU-INF-CV-2013-01, Computer Vision Group, Friedrich Schiller University Jena, Germany 2013. [pdf] [bib]
Redaktion 
Intranet 