Alexander Freytag

发表

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

Joachim Denzler, Marcel Simon, Erik Rodner, 2016, GCPR.

Large-Scale Gaussian Process Classification with Flexible Adaptive Histogram Kernels

Joachim Denzler, Erik Rodner, Alexander Freytag, 2012, ECCV.

Interactive Image Retrieval for Biodiversity Research

Joachim Denzler, Alexander Freytag, Alena Schadt, 2015, GCPR.

Active learning and discovery of object categories in the presence of unnameable instances

Joachim Denzler, Erik Rodner, Alexander Freytag, 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Disease prediction from thickness maps derived from OCT scans using Machine Learning and only a handful of data

Christian Wojek, Alexander Freytag, Mary K. Durbin, 2018 .

Large-Scale Active Learning with Approximations of Expected Model Output Changes

Joachim Denzler, Erik Rodner, Alexander Freytag, 2016, GCPR.

Kernel Null Space Methods for Novelty Detection

Joachim Denzler, Erik Rodner, Alexander Freytag, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

Watch, Ask, Learn, and Improve: a lifelong learning cycle for visual recognition

Joachim Denzler, Erik Rodner, Alexander Freytag, 2016, ESANN.

Divergence-Based One-Class Classification Using Gaussian Processes

Joachim Denzler, Erik Rodner, Alexander Freytag, 2012, BMVC.

Efficient semantic segmentation with Gaussian processes and histogram intersection kernels

Joachim Denzler, Erik Rodner, Alexander Freytag, 2012, Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012).

Rapid Uncertainty Computation with Gaussian Processes and Histogram Intersection Kernels

Joachim Denzler, Erik Rodner, Alexander Freytag, 2012, ACCV.

Finding the Unknown: Novelty Detection with Extreme Value Signatures of Deep Neural Activations

Joachim Denzler, Alexander Freytag, Christoph Käding, 2017, GCPR.

Active and Continuous Exploration with Deep Neural Networks and Expected Model Output Changes pdf

Joachim Denzler, Erik Rodner, Alexander Freytag, 2016, ArXiv.

Local Novelty Detection in Multi-class Recognition Problems

Joachim Denzler, Erik Rodner, Alexander Freytag, 2015, 2015 IEEE Winter Conference on Applications of Computer Vision.

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

Joachim Denzler, Erik Rodner, Alexander Freytag, 2013, ArXiv.

Fine-Tuning Deep Neural Networks in Continuous Learning Scenarios

Joachim Denzler, Erik Rodner, Alexander Freytag, 2016, ACCV Workshops.

Method and apparatus for accurately determining the position of arrow-like objects relative to surfaces

Alexander Freytag, Martin Thümmel, Johannes Rühle, 2016 .

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

Joachim Denzler, Erik Rodner, Alexander Freytag, 2016, International Journal of Computer Vision.

Approximations of Gaussian Process Uncertainties for Visual Recognition Problems

Joachim Denzler, Erik Rodner, Alexander Freytag, 2013, SCIA.

Exemplar-Specific Patch Features for Fine-Grained Recognition

Joachim Denzler, Trevor Darrell, Erik Rodner, 2014, GCPR.

Selecting Influential Examples: Active Learning with Expected Model Output Changes

Joachim Denzler, Erik Rodner, Alexander Freytag, 2014, ECCV.

Workshop on Interactive and Adaptive Learning in an Open World

Mario Fritz, Juergen Gall, Angela Yao, 2018, ECCV Workshops.

Image Quality Assessment of Fundus Images Using Deep Convolutional Neural Networks with Extremely Few Parameters

Christian Wojek, Alexander Freytag, Thomas Milde, 2017 .

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

Joachim Denzler, Erik Rodner, Alexander Freytag, 2014, ArXiv.

Lifelong Learning for Visual Recognition Systems

Alexander Freytag, Alexander Freytag, 2017 .

Nonparametric Part Transfer for Fine-Grained Recognition

Joachim Denzler, Erik Rodner, Alexander Freytag, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

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

Joachim Denzler, Erik Rodner, Alexander Freytag, 2013, GCPR.

Active Learning for Regression Tasks with Expected Model Output Changes

Joachim Denzler, Erik Rodner, Alexander Freytag, 2018, BMVC.

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

Rainer Stiefelhagen, Erik Rodner, Alexander Freytag, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Beyond the closed-world assumption : The importance of novelty detection and open set recognition Computer Vision Group Jena

Joachim Denzler, Erik Rodner, Alexander Freytag, 2013 .

Beyond Classification – Large-scale Gaussian Process Inference and Uncertainty Prediction

Joachim Denzler, Erik Rodner, Alexander Freytag, 2012 .

An Efficient Approximation for Gaussian Process Regression

Joachim Denzler, Erik Rodner, Alexander Freytag, 2013 .