Are We Consistent?: The Effects of Digitized Exams Grading. - Gosia Migut; Ruben Wiersma (SIGCSE, 2020)

CNNs on surfaces using rotation-equivariant features. - Ruben Wiersma; Elmar Eisemann; Klaus Hildebrandt (ACM Trans. Graph., 2020)

DeltaConv: Anisotropic Point Cloud Learning with Exterior Calculus. - Ruben Wiersma; Ahmad Nasikun; Elmar Eisemann; Klaus Hildebrandt (CoRR, 2021)

Deep vanishing point detection: Geometric priors make dataset variations vanish. - Yancong Lin; Ruben Wiersma; Silvia L. Pintea; Klaus Hildebrandt; Elmar Eisemann; Jan C. van Gemert (CVPR, 2022)

A New Baseline for Feature Description on Multimodal Imaging of Paintings. - Jules van der Toorn; Ruben Wiersma; Abbie Vandivere; Ricardo Marroquim; Elmar Eisemann (GCH, 2022)

DeltaConv: anisotropic operators for geometric deep learning on point clouds. - Ruben Wiersma; Ahmad Nasikun; Elmar Eisemann; Klaus Hildebrandt (ACM Trans. Graph., 2022)

A Fast Geometric Multigrid Method for Curved Surfaces. - Ruben Wiersma; Ahmad Nasikun; Elmar Eisemann; Klaus Hildebrandt (SIGGRAPH (Conference Paper Track), 2023)

The case of the golden background, a virtual restoration and a physical reconstruction of the medieval Crucifixion of the Lindau Master (c. 1425). - Liselore Tissen; Sanne Frequin; Ruben Wiersma (Digit. Humanit. Q., 2023)

Fast and Uncertainty-Aware SVBRDF Recovery from Multi-View Capture using Frequency Domain Analysis. - Ruben Wiersma; Julien Philip; Milos Hasan; Krishna Mullia; Fujun Luan; Elmar Eisemann; Valentin Deschaintre (CoRR, 2024)

TetWeave: Isosurface Extraction using On-The-Fly Delaunay Tetrahedral Grids for Gradient-Based Mesh Optimization. - Alexandre Binninger; Ruben Wiersma; Philipp Herholz; Olga Sorkine-Hornung (ACM Trans. Graph., 2025)