no code implementations • 6 Feb 2023 • 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
Surgery for gliomas (intrinsic brain tumors), especially when low-grade, is challenging due to the infiltrative nature of the lesion.
1 code implementation • CVPR 2023 • Simon Reiß, Constantin Seibold, Alexander Freytag, Erik Rodner, Rainer Stiefelhagen
A vast amount of images and pixel-wise annotations allowed our community to build scalable segmentation solutions for natural domains.
no code implementations • 15 Nov 2022 • Eva Höck, Tim-Oliver Buchholz, Anselm Brachmann, Florian Jug, Alexander Freytag
We validate our modifications on a range of microscopy and natural image data.
no code implementations • CVPR 2021 • Simon Reiß, Constantin Seibold, Alexander Freytag, Erik Rodner, Rainer Stiefelhagen
Pixel-wise segmentation is one of the most data and annotation hungry tasks in our field.
no code implementations • 19 Dec 2016 • Christoph Käding, Erik Rodner, Alexander Freytag, Joachim Denzler
The demands on visual recognition systems do not end with the complexity offered by current large-scale image datasets, such as ImageNet.
no code implementations • CVPR 2015 • Christoph Kading, Alexander Freytag, Erik Rodner, Paul Bodesheim, Joachim Denzler
In active learning, all categories occurring in collected data are usually assumed to be known in advance and experts should be able to label every requested instance.
no code implementations • 20 Aug 2014 • Alexander Freytag, Johannes Rühle, Paul Bodesheim, Erik Rodner, Joachim Denzler
To answer this question, we present an in-depth analysis of the effect of local feature quantization on human recognition performance.
no code implementations • CVPR 2014 • Christoph Goring, Erik Rodner, Alexander Freytag, Joachim Denzler
In the following paper, we present an approach for finegrained recognition based on a new part detection method.
no code implementations • 17 Oct 2013 • Christoph Göring, Alexander Freytag, Erik Rodner, Joachim Denzler
In this paper, we tackle the problem of visual categorization of dog breeds, which is a surprisingly challenging task due to simultaneously present low interclass distances and high intra-class variances.
no code implementations • CVPR 2013 • Paul Bodesheim, Alexander Freytag, Erik Rodner, Michael Kemmler, Joachim Denzler
In contrast to modeling the support of each known class individually, our approach makes use of a projection in a joint subspace where training samples of all known classes have zero intra-class variance.