Widely used pipelines for the analysis of high-dimensional data utilize
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We introduce a geometric multigrid method for solving linear systems ari...
Parametrizations of data manifolds in shape spaces can be computed using...
Post-translational modifications (PTMs) affecting a protein's residues (...
Delineation of tumors and organs-at-risk permits detecting and correctin...
Deep learning has improved vanishing point detection in images. Yet, dee...
This document contains additional experiments concerned with the evaluat...
Sparse eigenproblems are important for various applications in computer
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Learning from 3D point-cloud data has rapidly gained momentum, motivated...
Deep learning models for organ contouring in radiotherapy are poised for...
Geometric optimization problems are at the core of many applications in
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In the SIGGRAPH 2014 paper [SvTSH14] an approach for animating deformabl...