Stefan Jeschke

Tranquil Clouds: Neural Networks for Learning Temporally Coherent Features in Point Clouds

Point clouds, as a form of Lagrangian representation, allow for powerful and flexible applications in a large number of computational disciplines. We propose a novel deep-learning method to learn stable and temporally coherent feature spaces for points clouds that change over time. We identify a set…