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Alexander Freytag
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2020 – today
- 2024
- [c26]Dmitrii Seletkov, Simon Reiß
, Alexander Freytag, Constantin Seibold, Rainer Stiefelhagen:
Style Transfer and Pseudo-Label Filtering Improve Transferability in Cell Organelle Segmentation Scenarios. ISBI 2024: 1-4 - 2023
- [c25]Simon Reiß, Constantin Seibold, Alexander Freytag, Erik Rodner, Rainer Stiefelhagen:
Decoupled Semantic Prototypes enable learning from diverse annotation types for semi-weakly segmentation in expert-driven domains. CVPR 2023: 15495-15506 - [c24]Jonas Nienhaus, Philipp Matten, Anja Britten, Thomas Schlegl, Eva Höck, Alexander Freytag, Matt Everett, Nancy Hecker-Denschlag, Wolfgang Drexler, Rainer A. Leitgeb, Tilman Schmoll
Self-supervised denoising using optimized blind-spot networks for real-time application in 4D-OCT. Medical Imaging: Image Processing 2023 - [i6]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:
Intra-operative Brain Tumor Detection with Deep Learning-Optimized Hyperspectral Imaging. CoRR abs/2302.02884 (2023) - 2022
- [c23]Simon Reiß
Graph-Constrained Contrastive Regularization for Semi-weakly Volumetric Segmentation. ECCV (21) 2022: 401-419 - [c22]Eva Höck
N2V2 - Fixing Noise2Void Checkerboard Artifacts with Modified Sampling Strategies and a Tweaked Network Architecture. ECCV Workshops (4) 2022: 503-518 - [i5]Eva Höck, Tim-Oliver Buchholz, Anselm Brachmann, Florian Jug
N2V2 - Fixing Noise2Void Checkerboard Artifacts with Modified Sampling Strategies and a Tweaked Network Architecture. CoRR abs/2211.08512 (2022) - 2021
- [c21]Simon Reiß, Constantin Seibold, Alexander Freytag, Erik Rodner, Rainer Stiefelhagen:
Every Annotation Counts: Multi-Label Deep Supervision for Medical Image Segmentation. CVPR 2021: 9532-9542 - [i4]Simon Reiß, Constantin Seibold, Alexander Freytag, Erik Rodner, Rainer Stiefelhagen:
Every Annotation Counts: Multi-label Deep Supervision for Medical Image Segmentation. CoRR abs/2104.13243 (2021)
2010 – 2019
- 2018
- [c20]Christoph Käding, Erik Rodner, Alexander Freytag, Oliver Mothes, Björn Barz, Joachim Denzler:
Active Learning for Regression Tasks with Expected Model Output Changes. BMVC 2018: 103 - [c19]Alexander Freytag, Vittorio Ferrari, Mario Fritz, Uwe Franke, Terrance E. Boult, Juergen Gall, Walter J. Scheirer, Angela Yao, Erik Rodner:
Workshop on Interactive and Adaptive Learning in an Open World. ECCV Workshops (6) 2018: 487-493 - 2017
- [b1]Alexander Freytag:
Lifelong Learning for Visual Recognition Systems. University of Jena, Germany, Dr. Hut 2017, ISBN 978-3-8439-2995-0, pp. 1-431 - [j1]Erik Rodner
Large-Scale Gaussian Process Inference with Generalized Histogram Intersection Kernels for Visual Recognition Tasks. Int. J. Comput. Vis. 121(2): 253-280 (2017) - [c18]Alexander Schultheiß, Christoph Käding, Alexander Freytag, Joachim Denzler:
Finding the Unknown: Novelty Detection with Extreme Value Signatures of Deep Neural Activations. GCPR 2017: 226-238 - 2016
- [c17]Christoph Käding, Erik Rodner, Alexander Freytag, Joachim Denzler:
Fine-Tuning Deep Neural Networks in Continuous Learning Scenarios. ACCV Workshops (3) 2016: 588-605 - [c16]Alexander Freytag, Erik Rodner
Chimpanzee Faces in the Wild: Log-Euclidean CNNs for Predicting Identities and Attributes of Primates. GCPR 2016: 51-63 - [c15]Christoph Käding, Alexander Freytag, Erik Rodner
Large-Scale Active Learning with Approximations of Expected Model Output Changes. GCPR 2016: 179-191 - [c14]Christoph Käding, Erik Rodner, Alexander Freytag, Joachim Denzler:
Watch, Ask, Learn, and Improve: a lifelong learning cycle for visual recognition. ESANN 2016 - [i3]Christoph Käding, Erik Rodner, Alexander Freytag, Joachim Denzler:
Active and Continuous Exploration with Deep Neural Networks and Expected Model Output Changes. CoRR abs/1612.06129 (2016) - 2015
- [c13]Christoph Käding, Alexander Freytag, Erik Rodner, Paul Bodesheim, Joachim Denzler:
Active learning and discovery of object categories in the presence of unnameable instances. CVPR 2015: 4343-4352 - [c12]Alexander Freytag, Alena Schadt, Joachim Denzler:
Interactive Image Retrieval for Biodiversity Research. GCPR 2015: 129-141 - [c11]Paul Bodesheim, Alexander Freytag, Erik Rodner, Joachim Denzler:
Local Novelty Detection in Multi-class Recognition Problems. WACV 2015: 813-820 - 2014
- [c10]Christoph Göring, Erik Rodner, Alexander Freytag, Joachim Denzler:
Nonparametric Part Transfer for Fine-Grained Recognition. CVPR 2014: 2489-2496 - [c9]Alexander Freytag, Erik Rodner, Trevor Darrell, Joachim Denzler:
Exemplar-Specific Patch Features for Fine-Grained Recognition. GCPR 2014: 144-156 - [c8]Alexander Freytag, Erik Rodner, Joachim Denzler:
Selecting Influential Examples: Active Learning with Expected Model Output Changes. ECCV (4) 2014: 562-577 - [i2]Alexander Freytag, Johannes Rühle, Paul Bodesheim, Erik Rodner, Joachim Denzler:
Seeing through bag-of-visual-word glasses: towards understanding quantization effects in feature extraction methods. CoRR abs/1408.4692 (2014) - 2013
- [c7]Paul Bodesheim, Alexander Freytag, Erik Rodner, Michael Kemmler, Joachim Denzler:
Kernel Null Space Methods for Novelty Detection. CVPR 2013: 3374-3381 - [c6]Alexander Freytag, Erik Rodner, Paul Bodesheim, Joachim Denzler:
Labeling Examples That Matter: Relevance-Based Active Learning with Gaussian Processes. GCPR 2013: 282-291 - [c5]Paul Bodesheim, Alexander Freytag, Erik Rodner, Joachim Denzler:
Approximations of Gaussian Process Uncertainties for Visual Recognition Problems. SCIA 2013: 182-194 - [i1]Christoph Göring, Alexander Freytag, Erik Rodner, Joachim Denzler:
Fine-grained Categorization - Short Summary of our Entry for the ImageNet Challenge 2012. CoRR abs/1310.4759 (2013) - 2012
- [c4]Alexander Freytag, Erik Rodner, Paul Bodesheim, Joachim Denzler:
Rapid Uncertainty Computation with Gaussian Processes and Histogram Intersection Kernels. ACCV (2) 2012: 511-524 - [c3]Paul Bodesheim, Erik Rodner, Alexander Freytag, Joachim Denzler:
Divergence-Based One-Class Classification Using Gaussian Processes. BMVC 2012: 1-11 - [c2]Erik Rodner, Alexander Freytag, Paul Bodesheim, Joachim Denzler:
Large-Scale Gaussian Process Classification with Flexible Adaptive Histogram Kernels. ECCV (4) 2012: 85-98 - [c1]Alexander Freytag, Björn Fröhlich, Erik Rodner, Joachim Denzler:
Efficient semantic segmentation with Gaussian processes and histogram intersection kernels. ICPR 2012: 3313-3316
Coauthor Index
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