Alexander Freytag

36 papers A* 5A 3B 3Journal 8Unranked 16

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Prompt-Tuning SAM: From Generalist to Specialist with only 2048 Parameters and 16 Training Images. CVPR Workshops Tristan Piater, Björn Barz, Alexander Freytag
2025	J	`jnl`	Prompt-Tuning SAM: From Generalist to Specialist with only 2048 Parameters and 16 Training Images. CoRR Tristan Piater, Björn Barz, Alexander Freytag
2024	—	`conf`	Style Transfer and Pseudo-Label Filtering Improve Transferability in Cell Organelle Segmentation Scenarios. ISBI Dmitrii Seletkov, Simon Reiß, Alexander Freytag, Constantin Seibold, Rainer Stiefelhagen
2023	A*	`conf`	Decoupled Semantic Prototypes enable learning from diverse annotation types for semi-weakly segmentation in expert-driven domains. CVPR Simon Reiß, Constantin Seibold, Alexander Freytag, Erik Rodner, Rainer Stiefelhagen
2023	J	`jnl`	Intra-operative Brain Tumor Detection with Deep Learning-Optimized Hyperspectral Imaging. CoRR 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
2023	B	`conf`	Self-supervised denoising using optimized blind-spot networks for real-time application in 4D-OCT. Image Processing Jonas Nienhaus, Philipp Matten, Anja Britten, Thomas Schlegl, Eva Höck, Alexander Freytag, Matt Everett, Nancy Hecker-Denschlag, Wolfgang Drexler, Rainer A. Leitgeb, Tilman Schmoll
2022	—	`conf`	Graph-Constrained Contrastive Regularization for Semi-weakly Volumetric Segmentation. ECCV (21) Simon Reiß, Constantin Seibold, Alexander Freytag, Erik Rodner, Rainer Stiefelhagen
2022	—	`conf`	N2V2 - Fixing Noise2Void Checkerboard Artifacts with Modified Sampling Strategies and a Tweaked Network Architecture. ECCV Workshops (4) Eva Höck, Tim-Oliver Buchholz, Anselm Brachmann, Florian Jug, Alexander Freytag
2022	J	`jnl`	N2V2 - Fixing Noise2Void Checkerboard Artifacts with Modified Sampling Strategies and a Tweaked Network Architecture. CoRR Eva Höck, Tim-Oliver Buchholz, Anselm Brachmann, Florian Jug, Alexander Freytag
2021	A*	`conf`	Every Annotation Counts: Multi-Label Deep Supervision for Medical Image Segmentation. CVPR Simon Reiß, Constantin Seibold, Alexander Freytag, Erik Rodner, Rainer Stiefelhagen
2021	J	`jnl`	Every Annotation Counts: Multi-label Deep Supervision for Medical Image Segmentation. CoRR Simon Reiß, Constantin Seibold, Alexander Freytag, Erik Rodner, Rainer Stiefelhagen
2018	A	`conf`	Active Learning for Regression Tasks with Expected Model Output Changes. BMVC Christoph Käding, Erik Rodner, Alexander Freytag, Oliver Mothes, Björn Barz, Joachim Denzler
2018	—	`conf`	Workshop on Interactive and Adaptive Learning in an Open World. ECCV Workshops (6) Alexander Freytag, Vittorio Ferrari, Mario Fritz, Uwe Franke, Terrance E. Boult, Juergen Gall, Walter J. Scheirer, Angela Yao, Erik Rodner
2017	—	`conf`	Finding the Unknown: Novelty Detection with Extreme Value Signatures of Deep Neural Activations. GCPR Alexander Schultheiß, Christoph Käding, Alexander Freytag, Joachim Denzler
2017	J	`jnl`	Large-Scale Gaussian Process Inference with Generalized Histogram Intersection Kernels for Visual Recognition Tasks. Int. J. Comput. Vis. Erik Rodner, Alexander Freytag, Paul Bodesheim, Björn Fröhlich, Joachim Denzler
2017	—	`—`	Lifelong Learning for Visual Recognition Systems. Alexander Freytag
2016	J	`jnl`	Active and Continuous Exploration with Deep Neural Networks and Expected Model Output Changes. CoRR Christoph Käding, Erik Rodner, Alexander Freytag, Joachim Denzler
2016	—	`conf`	Chimpanzee Faces in the Wild: Log-Euclidean CNNs for Predicting Identities and Attributes of Primates. GCPR Alexander Freytag, Erik Rodner, Marcel Simon, Alexander Loos, Hjalmar S. Kühl, Joachim Denzler
2016	—	`conf`	Fine-Tuning Deep Neural Networks in Continuous Learning Scenarios. ACCV Workshops (3) Christoph Käding, Erik Rodner, Alexander Freytag, Joachim Denzler
2016	—	`conf`	Large-Scale Active Learning with Approximations of Expected Model Output Changes. GCPR Christoph Käding, Alexander Freytag, Erik Rodner, Andrea Perino, Joachim Denzler
2016	B	`conf`	Watch, Ask, Learn, and Improve: a lifelong learning cycle for visual recognition. ESANN Christoph Käding, Erik Rodner, Alexander Freytag, Joachim Denzler
2015	A*	`conf`	Active learning and discovery of object categories in the presence of unnameable instances. CVPR Christoph Käding, Alexander Freytag, Erik Rodner, Paul Bodesheim, Joachim Denzler
2015	—	`conf`	Interactive Image Retrieval for Biodiversity Research. GCPR Alexander Freytag, Alena Schadt, Joachim Denzler
2015	A	`conf`	Local Novelty Detection in Multi-class Recognition Problems. WACV Paul Bodesheim, Alexander Freytag, Erik Rodner, Joachim Denzler
2014	—	`conf`	Exemplar-Specific Patch Features for Fine-Grained Recognition. GCPR Alexander Freytag, Erik Rodner, Trevor Darrell, Joachim Denzler
2014	A*	`conf`	Nonparametric Part Transfer for Fine-Grained Recognition. CVPR Christoph Göring, Erik Rodner, Alexander Freytag, Joachim Denzler
2014	J	`jnl`	Seeing through bag-of-visual-word glasses: towards understanding quantization effects in feature extraction methods. CoRR Alexander Freytag, Johannes Rühle, Paul Bodesheim, Erik Rodner, Joachim Denzler
2014	—	`conf`	Selecting Influential Examples: Active Learning with Expected Model Output Changes. ECCV (4) Alexander Freytag, Erik Rodner, Joachim Denzler
2013	—	`conf`	Approximations of Gaussian Process Uncertainties for Visual Recognition Problems. SCIA Paul Bodesheim, Alexander Freytag, Erik Rodner, Joachim Denzler
2013	J	`jnl`	Fine-grained Categorization - Short Summary of our Entry for the ImageNet Challenge 2012. CoRR Christoph Göring, Alexander Freytag, Erik Rodner, Joachim Denzler
2013	A*	`conf`	Kernel Null Space Methods for Novelty Detection. CVPR Paul Bodesheim, Alexander Freytag, Erik Rodner, Michael Kemmler, Joachim Denzler
2013	—	`conf`	Labeling Examples That Matter: Relevance-Based Active Learning with Gaussian Processes. GCPR Alexander Freytag, Erik Rodner, Paul Bodesheim, Joachim Denzler
2012	A	`conf`	Divergence-Based One-Class Classification Using Gaussian Processes. BMVC Paul Bodesheim, Erik Rodner, Alexander Freytag, Joachim Denzler
2012	B	`conf`	Efficient semantic segmentation with Gaussian processes and histogram intersection kernels. ICPR Alexander Freytag, Björn Fröhlich, Erik Rodner, Joachim Denzler
2012	—	`conf`	Large-Scale Gaussian Process Classification with Flexible Adaptive Histogram Kernels. ECCV (4) Erik Rodner, Alexander Freytag, Paul Bodesheim, Joachim Denzler
2012	—	`conf`	Rapid Uncertainty Computation with Gaussian Processes and Histogram Intersection Kernels. ACCV (2) Alexander Freytag, Erik Rodner, Paul Bodesheim, Joachim Denzler