activity
20192022
most citedCNNs on Surfaces using Rotation-Equivariant Features

57 citations · 57 across the 4 of their papers we have counts for

collaborators

5 papers

q-bio.QM2022

ProtoFold Neighborhood Inspector

Nicolas F. Chaves-de-Plaza, Klaus Hildebrandt, Anna Vilanova

Post-translational modifications (PTMs) affecting a protein's residues (amino acids) can disturb its function, leading to illness. Whether or not a PTM is pathogenic depends on its…

cs.HC2022

Report on AI-Infused Contouring Workflows for Adaptive Proton Therapy in the Head and Neck

Nicolas F. Chaves-de-Plaza, Prerak Mody, Klaus Hildebrandt +5

Delineation of tumors and organs-at-risk permits detecting and correcting changes in the patients' anatomy throughout the treatment, making it a core step of adaptive proton therap…

cs.CV2022

Deep vanishing point detection: Geometric priors make dataset variations vanish

Yancong Lin, Ruben Wiersma, Silvia L. Pintea +3

Deep learning has improved vanishing point detection in images. Yet, deep networks require expensive annotated datasets trained on costly hardware and do not generalize to even sli…

cs.CV202057 cited

CNNs on Surfaces using Rotation-Equivariant Features

Ruben Wiersma, Elmar Eisemann, Klaus Hildebrandt

This paper is concerned with a fundamental problem in geometric deep learning that arises in the construction of convolutional neural networks on surfaces. Due to curvature, the tr…

math.NA2019

Geometric optimization using nonlinear rotation-invariant coordinates

Josua Sassen, Behrend Heeren, Klaus Hildebrandt +1

Geometric optimization problems are at the core of many applications in geometry processing. The choice of a representation fitting an optimization problem can considerably simplif…