12 citations · 19 across the 3 of their papers we have counts for
3 papers
Discriminative and Generative Models for Anatomical Shape Analysison Point Clouds with Deep Neural Networks
Benjamin Gutierrez Becker, Ignacio Sarasua, Christian Wachinger
We introduce deep neural networks for the analysis of anatomical shapes that learn a low-dimensional shape representation from the given task, instead of relying on hand-engineered…
Data Augmentation with Manifold Exploring Geometric Transformations for Increased Performance and Robustness
Magdalini Paschali, Walter Simson, Abhijit Guha Roy +4
In this paper we propose a novel augmentation technique that improves not only the performance of deep neural networks on clean test data, but also significantly increases their ro…
Diverse Landmark Sampling from Determinantal Point Processes for Scalable Manifold Learning
Christian Wachinger, Polina Golland
High computational costs of manifold learning prohibit its application for large point sets. A common strategy to overcome this problem is to perform dimensionality reduction on se…