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Sebastian Kurtek

2 accepted papers

2024

Probabilistic size-and-shape functional mixed models

NeurIPS 2024poster

The reliable recovery and uncertainty quantification of a fixed effect function $\mu$ in a functional mixed model, for modeling population- and object-level variability in noisily observed functional data, is a notoriously challenging task: variations along the $x$ and $y$ axes are confounded with a…

Cited by 0SourcePDFScholar
2021

Geometric Deep Neural Network Using Rigid and Non-Rigid Transformations for Human Action Recognition

ICCV 2021poster

Deep Learning architectures, albeit successful in mostcomputer vision tasks, were designed for data with an un-derlying Euclidean structure, which is not usually fulfilledsince pre-processed data may lie on a non-linear space.In this paper, we propose a geometry aware deep learn-ing approach using r…

Cited by 22PDFScholar