Hi, I'm Ruben Wiersma,

a postdoctoral researcher at the ETH Zürich in the Interactive Geometry Lab since September 2024. My research topics include computer graphics, geometry processing, and machine learning.
On this website, you can find out more
about me, my
publications, a selection of my
creative projects and
news.
Publication highlights
Full list of publications.
PhD Thesis 2024.
Published at SIGGRAPH 2023.
Published in Transactions on Graphics (SIGGRAPH 2022).
Published in Transactions on Graphics (SIGGRAPH 2020).
Talks and presentations
5th February 2025, Mathematical Imaging and Surface Processing Workshop Oberwolfach
Intrinsic Approaches to Learning and Computing on Curved Surfaces
28th February 2024, INRIA Sophia Antipolis
Invited talk: Intrinsic Approaches to Learning and Computing on Curved Surfaces
23rd February 2024, ETH Zürich
Invited talk: Intrinsic Approaches to Learning and Computing on Curved Surfaces
19th February 2024, ISTA Vienna
Invited talk: Intrinsic Approaches to Learning and Computing on Curved Surfaces
October 2023, Johns Hopkins University
Lecture:
Introduction to Blender for Students in Computer Graphics
28th September 2022, Eurographics GCH 2022
Conference talk:
A New Baseline for Feature Description on Multimodal Imaging of Paintings
Best Full Paper Award
10th August 2022, SIGGRAPH
Technical papers presentation:
DeltaConv: Anisotropic Operators for Geometric Deep Learning on Point Clouds
6th April 2022, UChicago 3DL group
Invited talk:
DeltaConv: Anisotropic Operators for Geometric Deep Learning on Point Clouds
29th September 2021, Mathematics and Art symposium at DMV ÖMG Annual Conference 2021
Symposium talk:
Communicating Perspective in 17th Century Paintings to Modern Audiences.
17th May 2021, Utrecht University
Lecture on applications of computer graphics to painting analysis for bachelor students in art history.
Seminar talk: applications of computer graphics to painting analysis.
14th May 2020, Stanford Guibas Lab
Invited talk:
CNNs on Surfaces using Rotation-Equivariant Features
July 2020, SIGGRAPH
Technical papers presentation:
CNNs on Surfaces using Rotation-Equivariant Features