Alexander Freytag

According to our database, Alexander Freytag authored at least 32 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Style Transfer and Pseudo-Label Filtering Improve Transferability in Cell Organelle Segmentation Scenarios.

Dmitrii Seletkov, Simon Reiß, Alexander Freytag, Constantin Seibold, Rainer Stiefelhagen

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

Intra-operative Brain Tumor Detection with Deep Learning-Optimized Hyperspectral Imaging.

Tommaso Giannantonio, Anna Alperovich, Piercosimo Semeraro, Manfredo Atzori, Xiaohan Zhang, Christoph Hauger, Alexander Freytag, Siri Luthman, Roeland Vandebriel, Murali Jayapala, Lien Solie, Steven De Vleeschouwer

CoRR, 2023

Self-supervised denoising using optimized blind-spot networks for real-time application in 4D-OCT.

Jonas Nienhaus, Philipp Matten, Anja Britten, Thomas Schlegl, Eva Höck, Alexander Freytag, Matt Everett, Nancy Hecker-Denschlag, Wolfgang Drexler, Rainer A. Leitgeb, Tilman Schmoll

Proceedings of the Medical Imaging 2023: Image Processing, 2023

Decoupled Semantic Prototypes enable learning from diverse annotation types for semi-weakly segmentation in expert-driven domains.

Simon Reiß, Constantin Seibold, Alexander Freytag, Erik Rodner, Rainer Stiefelhagen

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Graph-Constrained Contrastive Regularization for Semi-weakly Volumetric Segmentation.

Simon Reiß, Constantin Seibold, Alexander Freytag, Erik Rodner, Rainer Stiefelhagen

Proceedings of the Computer Vision - ECCV 2022, 2022

N2V2 - Fixing Noise2Void Checkerboard Artifacts with Modified Sampling Strategies and a Tweaked Network Architecture.

Eva Höck, Tim-Oliver Buchholz, Anselm Brachmann, Florian Jug, Alexander Freytag

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2021

Every Annotation Counts: Multi-Label Deep Supervision for Medical Image Segmentation.

Simon Reiß, Constantin Seibold, Alexander Freytag, Erik Rodner, Rainer Stiefelhagen

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2018

Workshop on Interactive and Adaptive Learning in an Open World.

Alexander Freytag, Vittorio Ferrari, Mario Fritz, Uwe Franke, Terrance E. Boult, Juergen Gall, Walter J. Scheirer, Angela Yao, Erik Rodner

Proceedings of the Computer Vision - ECCV 2018 Workshops, 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

Lifelong Learning for Visual Recognition Systems.

Alexander Freytag

PhD thesis, 2017

Large-Scale Gaussian Process Inference with Generalized Histogram Intersection Kernels for Visual Recognition Tasks.

Erik Rodner, Alexander Freytag, Paul Bodesheim, Björn Fröhlich, Joachim Denzler

Int. J. Comput. Vis., 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

Chimpanzee Faces in the Wild: Log-Euclidean CNNs for Predicting Identities and Attributes of Primates.

Alexander Freytag, Erik Rodner, Marcel Simon, Alexander Loos, Hjalmar S. Kühl, 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

Local Novelty Detection in Multi-class Recognition Problems.

Paul Bodesheim, Alexander Freytag, Erik Rodner, Joachim Denzler

Proceedings of the 2015 IEEE Winter Conference on Applications of Computer Vision, 2015

Interactive Image Retrieval for Biodiversity Research.

Alexander Freytag, Alena Schadt, Joachim Denzler

Proceedings of the Pattern Recognition - 37th German Conference, 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

2014

Seeing through bag-of-visual-word glasses: towards understanding quantization effects in feature extraction methods.

Alexander Freytag, Johannes Rühle, Paul Bodesheim, Erik Rodner, Joachim Denzler

CoRR, 2014

Selecting Influential Examples: Active Learning with Expected Model Output Changes.

Alexander Freytag, Erik Rodner, Joachim Denzler

Proceedings of the Computer Vision - ECCV 2014, 2014

Exemplar-Specific Patch Features for Fine-Grained Recognition.

Alexander Freytag, Erik Rodner, Trevor Darrell, Joachim Denzler

Proceedings of the Pattern Recognition - 36th German Conference, 2014

Nonparametric Part Transfer for Fine-Grained Recognition.

Christoph Göring, Erik Rodner, Alexander Freytag, Joachim Denzler

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013

Fine-grained Categorization - Short Summary of our Entry for the ImageNet Challenge 2012.

Christoph Göring, Alexander Freytag, Erik Rodner, Joachim Denzler

CoRR, 2013

Approximations of Gaussian Process Uncertainties for Visual Recognition Problems.

Paul Bodesheim, Alexander Freytag, Erik Rodner, Joachim Denzler

Proceedings of the Image Analysis, 18th Scandinavian Conference, 2013

Labeling Examples That Matter: Relevance-Based Active Learning with Gaussian Processes.

Alexander Freytag, Erik Rodner, Paul Bodesheim, Joachim Denzler

Proceedings of the Pattern Recognition - 35th German Conference, 2013

Kernel Null Space Methods for Novelty Detection.

Paul Bodesheim, Alexander Freytag, Erik Rodner, Michael Kemmler, Joachim Denzler

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012

Efficient semantic segmentation with Gaussian processes and histogram intersection kernels.

Alexander Freytag, Björn Fröhlich, Erik Rodner, Joachim Denzler

Proceedings of the 21st International Conference on Pattern Recognition, 2012

Large-Scale Gaussian Process Classification with Flexible Adaptive Histogram Kernels.

Erik Rodner, Alexander Freytag, Paul Bodesheim, Joachim Denzler

Proceedings of the Computer Vision - ECCV 2012, 2012

Divergence-Based One-Class Classification Using Gaussian Processes.

Paul Bodesheim, Erik Rodner, Alexander Freytag, Joachim Denzler

Proceedings of the British Machine Vision Conference, 2012

Rapid Uncertainty Computation with Gaussian Processes and Histogram Intersection Kernels.

Alexander Freytag, Erik Rodner, Paul Bodesheim, Joachim Denzler

Proceedings of the Computer Vision, 2012