Simon Weber

I am a PhD candidate at the Computer Vision Group supervised by Prof. Dr. Daniel Cremers at the Technical University of Munich. Before that, I studied at École normale supérieure (ENS Ulm) in Paris.

My research interests include 3D reconstruction for structure-from-motion and SLAM system, beyond-euclidean geometry, and semantic segmentation.

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News

[03/2025] Our Finsler Multi-Dimensional Scaling paper has been accepted at CVPR 2025!

[09/2024] Our CVPR paper Flattening the Parent Bias: Hierarchical Semantic Segmentation in the Poincaré Ball is presented at the workshop Beyond Euclidean at ECCV 2024.

[07/2024] Our Power Variable Projection for Initialization-Free Large-Scale Bundle Adjustment paper has been accepted at ECCV 2024.

[07/2024] Visited International Computer Vision Summer School in Sicily.

[03/2024] Our Flattening the Parent Bias: Hierarchical Semantic Segmentation in the Poincaré Ball paper has been accepted at CVPR 2024.

[03/2024] Our Finsler-Laplace-Beltrami Operators with Application to Shape Analysis paper has been accepted at CVPR 2024.

[03/2023] Our Power Bundle Adjustment for Large-Scale 3D Reconstruction paper has been accepted at CVPR 2023.


Publications
Finsler Multi-Dimensional Scaling: Manifold Learning for Asymmetric Dimensionality Reduction and Embedding
Thomas Dagès*, Simon Weber*, Ya-Wei Eileen Lin, Ronen Talmon, Daniel Cremers, Michael Lindenbaum, Alfred M. Bruckstein, Ron Kimmel
CVPR, 2025

Power Variable Projection for Initialization-Free Large-Scale Bundle Adjustment
Simon Weber, Je Hyeong Hong, Daniel Cremers
ECCV, 2024

Flattening the Parent Bias: Hierarchical Semantic Segmentation in the Poincaré Ball
Simon Weber, Barış Zöngür, Nikita Araslanov, Daniel Cremers
CVPR, 2024

Finsler-Laplace-Beltrami Operators with Application to Shape Analysis
Simon Weber*, Thomas Dagès*, Maolin Gao, Daniel Cremers
CVPR, 2024

Power Bundle Adjustment for Large-Scale 3D Reconstruction
Simon Weber, Nikolaus Demmel, Tin Chon Chan, Daniel Cremers
CVPR, 2023

Multidirectional Conjugate Gradients for Scalable Bundle Adjustment
Simon Weber, Nikolaus Demmel, Daniel Cremers
GCPR, 2021



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