Martin Skrodzki

According to our database, Martin Skrodzki authored at least 16 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Accelerating hyperbolic t-SNE.

Martin Skrodzki, Hunter van Geffen, Nicolas F. Chaves-de-Plaza, Thomas Höllt, Elmar Eisemann, Klaus Hildebrandt

CoRR, 2024

2023

Tuning the perplexity for and computing sampling-based t-SNE embeddings.

Martin Skrodzki, Nicolas F. Chaves-de-Plaza, Klaus Hildebrandt, Thomas Höllt, Elmar Eisemann

CoRR, 2023

Isotropic Point Cloud Meshing using unit Spheres (IPCMS).

Henriette Lipschütz, Ulrich Reitebuch, Konrad Polthier, Martin Skrodzki

CoRR, 2023

2021

Weaving patterns inspired by the pentagon snub subdivision scheme.

Henriette Lipschütz, Ulrich Reitebuch, Martin Skrodzki, Konrad Polthier

CoRR, 2021

Single-sized spheres on surfaces (S4).

Henriette Lipschütz, Martin Skrodzki, Ulrich Reitebuch, Konrad Polthier

Comput. Aided Geom. Des., 2021

A Large-Scale Evaluation Of Shape-Aware Neighborhood Weights And Neighborhood Sizes.

Martin Skrodzki, Eric Zimmermann

Comput. Aided Des., 2021

2020

Illustrations of non-Euclidean geometry in virtual reality.

Martin Skrodzki

CoRR, 2020

Surface Denoising based on Normal Filtering in a Robust Statistics Framework.

Sunil Kumar Yadav, Martin Skrodzki, Eric Zimmermann, Konrad Polthier

CoRR, 2020

Large-Scale Evaluation of Shape-Aware Neighborhood Weights & Neighborhood Sizes.

Martin Skrodzki, Eric Zimmermann

CoRR, 2020

Variational shape approximation of point set surfaces.

Martin Skrodzki, Eric Zimmermann, Konrad Polthier

Comput. Aided Geom. Des., 2020

How the Deprecation of Java Applets Affected Online Visualization Frameworks - A Case Study.

Martin Skrodzki

Proceedings of the 1st Workshop on the Gap between Visualization Research and Visualization Software, 2020

2019

Neighborhood Data Structures, Manifold Properties, and Processing of Point Set Surfaces (Datenstrukturen für Nachbarschaften, Mannigfaltigkeitseigenschaften, und die Verarbeitung von Punktwolkenoberflächen)

Martin Skrodzki

PhD thesis, 2019

The k-d tree data structure and a proof for neighborhood computation in expected logarithmic time.

Martin Skrodzki

CoRR, 2019

2018

Constraint-based point set denoising using normal voting tensor and restricted quadratic error metrics.

Sunil Kumar Yadav, Ulrich Reitebuch, Martin Skrodzki, Eric Zimmermann, Konrad Polthier

Comput. Graph., 2018

Directional density measure to intrinsically estimate and counteract non-uniformity in point clouds.

Martin Skrodzki, Johanna Jansen, Konrad Polthier

Comput. Aided Geom. Des., 2018

2017

Combinatorial and Asymptotical Results on the Neighborhood Grid.

Martin Skrodzki, Ulrich Reitebuch, Konrad Polthier

CoRR, 2017