University of Bonn
2025 - Present
PhD in Computer Science, advised by Florian Bernard
Tobias Weißberg
PhD Student in the Learning and Optimisation for Visual Computing Group at the University of Bonn with interests in (Shape) Optimisation, Inverse Problems and Symmetries.
Education
University of Bonn
- Graduated with distinction
2022 - 2024
Master's Degree in Computer Science
University of Bonn
2018 - 2022
Bachelor's Degree in Mathematics
Skills
- Numerical Mathematics
- Optimisation
- Machine Learning
- Python
- C++
- Graphs
Publications
Towards Stellarator Geometry Optimisation for Nuclear Fusion
Tobias Weißberg, Moritz Heep, et al.
ECCV Workshop on Geometric Intelligence: From Vision to Scientific Discovery, September 2026
- Shape Optimisation
- Geometry
- Nuclear Fusion
- Finite Differences
- AI for Science
Unsupervised Pixel-Level Semantic Left-Right Understanding of In-the-Wild Images
Weikang Wang, Tobias Weißberg, et al.
European Conference on Computer Vision (ECCV), September 2026
- Symmetry
- Images
- Feature Extraction
- Disentanglement
- Machine Learning
Symmetry Informative and Agnostic Feature Disentanglement for 3D Shapes
Tobias Weißberg, Weikang Wang, et al.
International Conference on 3D Vision (3DV), March 2026
- Shape Analysis
- Symmetry
- Meshes
- Feature Extraction
- Disentanglement
- Machine Learning
- Shape Matching
χ: Symmetry Understanding of 3D Shapes via Chirality Disentanglement
Weikang Wang †, Tobias Weißberg †, et al.
IEEE/CVF International Conference on Computer Vision (ICCV), Oct 2025
- Shape Analysis
- Symmetry
- Meshes
- Feature Extraction
- Disentanglement
- Machine Learning
- Shape Matching
Beyond Complete Shapes: A Benchmark for Quantitative Evaluation of 3D Shape Matching Algorithms
Viktoria Ehm †, Nafie El Amrani †, et al.
Computer Graphics Forum, Jun 2025
- Shape Analysis
- Meshes
- Dataset
- Symmetry
- Shape Matching
† denotes equal contribution.
Awards and Achievements
Awarded for my master’s thesis 'Learning Semantic Understanding of Human-Made Sketches', which advanced methods for machine learning–based interpretation of hand-drawn sketches.