Rapid Uncertainty Computation with Gaussian Processes and Histogram Intersection Kernels. - Alexander Freytag; Erik Rodner; Paul Bodesheim; Joachim Denzler (ACCV (2), 2012)

Divergence-Based One-Class Classification Using Gaussian Processes. - Paul Bodesheim; Erik Rodner; Alexander Freytag; Joachim Denzler (BMVC, 2012)

Large-Scale Gaussian Process Classification with Flexible Adaptive Histogram Kernels. - Erik Rodner; Alexander Freytag; Paul Bodesheim; Joachim Denzler (ECCV (4), 2012)

Efficient semantic segmentation with Gaussian processes and histogram intersection kernels. - Alexander Freytag; Björn Fröhlich; Erik Rodner; Joachim Denzler (ICPR, 2012)

Kernel Null Space Methods for Novelty Detection. - Paul Bodesheim; Alexander Freytag; Erik Rodner; Michael Kemmler; Joachim Denzler (CVPR, 2013)

Labeling Examples That Matter: Relevance-Based Active Learning with Gaussian Processes. - Alexander Freytag; Erik Rodner; Paul Bodesheim; Joachim Denzler (GCPR, 2013)

Approximations of Gaussian Process Uncertainties for Visual Recognition Problems. - Paul Bodesheim; Alexander Freytag; Erik Rodner; Joachim Denzler (SCIA, 2013)

Fine-grained Categorization - Short Summary of our Entry for the ImageNet Challenge 2012. - Christoph Göring; Alexander Freytag; Erik Rodner; Joachim Denzler (CoRR, 2013)

Nonparametric Part Transfer for Fine-Grained Recognition. - Christoph Göring; Erik Rodner; Alexander Freytag; Joachim Denzler (CVPR, 2014)

Exemplar-Specific Patch Features for Fine-Grained Recognition. - Alexander Freytag; Erik Rodner; Trevor Darrell; Joachim Denzler (GCPR, 2014)

Selecting Influential Examples: Active Learning with Expected Model Output Changes. - Alexander Freytag; Erik Rodner; Joachim Denzler (ECCV (4), 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)

Active learning and discovery of object categories in the presence of unnameable instances. - Christoph Käding; Alexander Freytag; Erik Rodner; Paul Bodesheim; Joachim Denzler (CVPR, 2015)

Interactive Image Retrieval for Biodiversity Research. - Alexander Freytag; Alena Schadt; Joachim Denzler (GCPR, 2015)

Local Novelty Detection in Multi-class Recognition Problems. - Paul Bodesheim; Alexander Freytag; Erik Rodner; Joachim Denzler (WACV, 2015)

Fine-Tuning Deep Neural Networks in Continuous Learning Scenarios. - Christoph Käding; Erik Rodner; Alexander Freytag; Joachim Denzler (ACCV Workshops (3), 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 (GCPR, 2016)

Large-Scale Active Learning with Approximations of Expected Model Output Changes. - Christoph Käding; Alexander Freytag; Erik Rodner; Andrea Perino; Joachim Denzler (GCPR, 2016)

Watch, Ask, Learn, and Improve: a lifelong learning cycle for visual recognition. - Christoph Käding; Erik Rodner; Alexander Freytag; Joachim Denzler (ESANN, 2016)

Active and Continuous Exploration with Deep Neural Networks and Expected Model Output Changes. - Christoph Käding; Erik Rodner; Alexander Freytag; Joachim Denzler (CoRR, 2016)

Finding the Unknown: Novelty Detection with Extreme Value Signatures of Deep Neural Activations. - Alexander Schultheiß; Christoph Käding; Alexander Freytag; Joachim Denzler (GCPR, 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)

Lifelong Learning for Visual Recognition Systems. - Alexander Freytag (Dr. Hut, 2017)

Active Learning for Regression Tasks with Expected Model Output Changes. - Christoph Käding; Erik Rodner; Alexander Freytag; Oliver Mothes; Björn Barz; Joachim Denzler (BMVC, 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 (ECCV Workshops (6), 2018)

Every Annotation Counts: Multi-Label Deep Supervision for Medical Image Segmentation. - Simon Reiß; Constantin Seibold; Alexander Freytag; Erik Rodner; Rainer Stiefelhagen (CVPR, 2021)

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 (ECCV Workshops (4), 2022)

Graph-Constrained Contrastive Regularization for Semi-weakly Volumetric Segmentation. - Simon Reiß; Constantin Seibold; Alexander Freytag; Erik Rodner; Rainer Stiefelhagen (ECCV (21), 2022)

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 (CVPR, 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 (Image Processing, 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)

Style Transfer and Pseudo-Label Filtering Improve Transferability in Cell Organelle Segmentation Scenarios. - Dmitrii Seletkov; Simon Reiß; Alexander Freytag; Constantin Seibold; Rainer Stiefelhagen (ISBI, 2024)

Prompt-Tuning SAM: From Generalist to Specialist with only 2048 Parameters and 16 Training Images. - Tristan Piater; Björn Barz; Alexander Freytag (CVPR Workshops, 2025)