Roland Kwitt

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GMX ∙ Universitätsbibliothek Salzburg

Associate Professor, Department of Computer Science at University of Salzburg

Dissecting Supervised Constrastive Learning

Minimizing cross-entropy over the softmax scores of a linear map compose...
02/17/2021 ∙ by Florian Graf, et al. ∙ 0 ∙ share

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A Shooting Formulation of Deep Learning

Continuous-depth neural networks can be viewed as deep limits of discret...
06/18/2020 ∙ by François-Xavier Vialard, et al. ∙ 12 ∙ share

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Topologically Densified Distributions

We study regularization in the context of small sample-size learning wit...
02/12/2020 ∙ by Christoph D. Hofer, et al. ∙ 6 ∙ share

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Deep Multi-View Learning via Task-Optimal CCA

Canonical Correlation Analysis (CCA) is widely used for multimodal data ...
07/17/2019 ∙ by Heather D. Couture, et al. ∙ 5 ∙ share

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Connectivity-Optimized Representation Learning via Persistent Homology

We study the problem of learning representations with controllable conne...
06/21/2019 ∙ by Christoph Hofer, et al. ∙ 1 ∙ share

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Graph Filtration Learning

We propose an approach to learning with graph-structured data in the pro...
05/27/2019 ∙ by Christoph Hofer, et al. ∙ 9 ∙ share

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Metric Learning for Image Registration

Image registration is a key technique in medical image analysis to estim...
04/21/2019 ∙ by Marc Niethammer, et al. ∙ 16 ∙ share

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Stochastic Block Models with Multiple Continuous Attributes

The stochastic block model (SBM) is a probabilistic model for community ...
03/07/2018 ∙ by Natalie Stanley, et al. ∙ 0 ∙ share

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Feature Space Transfer for Data Augmentation

The problem of data augmentation in feature space is considered. A new a...
01/13/2018 ∙ by Bo Liu, et al. ∙ 0 ∙ share

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Fast Predictive Simple Geodesic Regression

Deformable image registration and regression are important tasks in medi...
11/15/2017 ∙ by Zhipeng Ding, et al. ∙ 0 ∙ share

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Brain Extraction from Normal and Pathological Images: A Joint PCA/Image-Reconstruction Approach

Brain extraction from 3D medical images is a common pre-processing step....
11/15/2017 ∙ by Xu Han, et al. ∙ 0 ∙ share

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Deep Learning with Topological Signatures

Inferring topological and geometrical information from data can offer an...
07/13/2017 ∙ by Christoph Hofer, et al. ∙ 0 ∙ share

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Efficient Registration of Pathological Images: A Joint PCA/Image-Reconstruction Approach

Registration involving one or more images containing pathologies is chal...
03/31/2017 ∙ by Xu Han, et al. ∙ 0 ∙ share

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Quicksilver: Fast Predictive Image Registration - a Deep Learning Approach

This paper introduces Quicksilver, a fast deformable image registration ...
03/31/2017 ∙ by Xiao Yang, et al. ∙ 0 ∙ share

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Fast Predictive Multimodal Image Registration

We introduce a deep encoder-decoder architecture for image deformation p...
03/31/2017 ∙ by Xiao Yang, et al. ∙ 0 ∙ share

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AGA: Attribute Guided Augmentation

We consider the problem of data augmentation, i.e., generating artificia...
12/08/2016 ∙ by Mandar Dixit, et al. ∙ 0 ∙ share

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Fast Predictive Image Registration

We present a method to predict image deformations based on patch-wise im...
07/08/2016 ∙ by Xiao Yang, et al. ∙ 0 ∙ share

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Proceedings of The 39th Annual Workshop of the Austrian Association for Pattern Recognition (OAGM), 2015

The 39th annual workshop of the Austrian Association for Pattern Recogni...
04/30/2015 ∙ by Sebastian Hegenbart, et al. ∙ 0 ∙ share

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A Stable Multi-Scale Kernel for Topological Machine Learning

Topological data analysis offers a rich source of valuable information t...
12/21/2014 ∙ by Jan Reininghaus, et al. ∙ 0 ∙ share

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Roland Kwitt

Featured Co-authors

Bo Liu

Xu Han

Marc Niethammer

Nuno Vasconcelos

Bjoern Menze

Xiao Yang

J. S. Marron

Ulrich Bauer

François-Xavier Vialard

Paul Thompson

Andreas Uhl

Dissecting Supervised Constrastive Learning

A Shooting Formulation of Deep Learning

Topologically Densified Distributions

Deep Multi-View Learning via Task-Optimal CCA

Connectivity-Optimized Representation Learning via Persistent Homology

Graph Filtration Learning

Metric Learning for Image Registration

Stochastic Block Models with Multiple Continuous Attributes

Feature Space Transfer for Data Augmentation

Fast Predictive Simple Geodesic Regression

Brain Extraction from Normal and Pathological Images: A Joint PCA/Image-Reconstruction Approach

Deep Learning with Topological Signatures

Efficient Registration of Pathological Images: A Joint PCA/Image-Reconstruction Approach

Quicksilver: Fast Predictive Image Registration - a Deep Learning Approach

Fast Predictive Multimodal Image Registration

AGA: Attribute Guided Augmentation

Fast Predictive Image Registration

Proceedings of The 39th Annual Workshop of the Austrian Association for Pattern Recognition (OAGM), 2015

A Stable Multi-Scale Kernel for Topological Machine Learning