M.Sc. Christian Reinbold

From March 2018 to August 2022 I have been a PhD student at the Computer Graphics and Visualization group of Prof. Rüdiger Westermann, working on techniques to support network analysis and comparison in the field of Deep Learning (eXplainable AI - XAI), as well as Integration of Deep Learning in 3D graphics applications. Regarding XAI, I investigated Feature Visualization and dimensionality reduction techniques used to visualize network feature spaces. In level-of-detail based voxel rendering, I proposed an encoder/decoder-based neural network architecture to super-sample pixels with view-dependent color bleeding artifacts. Further, I experimented with (deep) learning the global light transport of complex scenes containing participating media or scientific 3D volumes. Please abstain from thesis requests, as I am not an active member of the chair anymore.

Publications

Learning Generic Local Shape Properties for Adaptive Super-Sampling
Christian Reinbold, Rüdiger Westermann
Eurographics, 2022

[PDF] [BIB]

Parameterized Splitting of Summed Volume Tables
Christian Reinbold, Rüdiger Westermann
Eurographics Conference on Visualization (EuroVis) 2021

[DOI] [PDF] [SUPP] [VIDEO] [BIB]

This is the accepted version of the following article: "Parameterized Splitting of Summed Volume Tables (Reinbold & Westermann, 2021)", which has been published in final form at onlinelibrary.wiley.com. This article may be used for non-commercial purposes in accordance with the

Wiley Self-Archiving Policy.

Inverting the Feature Visualization Process for Feedforward Neural Networks
Christian Reinbold, Rüdiger Westermann
arXiv:2007.10757 [cs.LG]

Visualizing the Stability of 2D Point Sets from Dimensionality Reduction Techniques
Christian Reinbold, Alexander Kumpf, Rüdiger Westermann
COMPUTER GRAPHICS Forum (CGF) 2020

[ DOI ] [ BIB ]

Enumeration Complexity of Poor Man’s Propositional Dependence Logic
Arne Meier, Christian Reinbold
Foundations of Information and Knowledge Systems (FoIKS) 2018

[ URL ]

An Evaluation of Two Trust-Based Autonomic/Organic Grid Computing Systems for Volunteer-Based Distributed Rendering
Jan Kantert, Christian Reinbold, Sven Tomforde, Christian Müller-Schloer
IEEE International Conference on Autonomic Computing (ICAC) 2016

[ DOI ]

Teaching

Summer Term 2021: Geometric Modelling and Visualization

Summer Term 2021 - Seminar: Data Visualization

Winter Term 2020 / 2021: Geometric Modelling and Visualization

Winter Term 2020 / 2021 - Seminar: Data Visualization

Summer Term 2020 - Seminar: Data Visualization

Winter Term 2019 / 2020: Geometric Modelling and Visualization

Winter Term 2019 / 2020 - Seminar: Data Visualization

Summer Term 2019 - Seminar: How to make A PIXAR movie

Winter Term 2018 / 2019 - Seminar: How to make A PIXAR movie

Summer Term 2018 - Seminar: How to make A PIXAR movie

Supervised Theses

Topic	Student	Type of Thesis
Audio Visualisation - Approaching a Music Improvisation Learning Process	Benedikt Wimmer	Bachelor
Importance based Distortion of Voronoi diagrams	Nadine Schmidbauer	Bachelor
Development of a Real Time Tuner Application in See-Through AR for the Trombone	Viviana Sutedjo	Bachelor
Volume Data Compression	Maarten Bussler	Bachelor
Inverting Feature Visualization Using Image Priors	Paul Hofbauer	Bachelor
Robustness Analysis of Deep Neural Networks	Madwaraj Hatwar	Master
Application of Bounded Volume Hierarchies in Direct Volume Rendering	Johannes Schwenk	Bachelor
Robustness of Inverse Feature Visualization	Yanki Kurtcan	Bachelor
Visualization of Audiovisual Events in Concert Settings	Simon Borowski	Bachelor
Learning Neural Surface Representations from 2D images	Omar Abugharbiyeh	Bachelor
Robustness Analysis of Neural Networks	Iva Jaupaj	Bachelor
Capturing Periodicity of Data with Neural Networks	Rossen Boykov	Bachelor
Learning Neural Surface Representations from Prominent Objects in Video Sequences	Ahnaf Munir	Master
Implemenation and Evaluation of a Deep-Learning-based Beat Tracking System	Omar Eldeeb	Bachelor
Learning Level of Detail for Point Cloud Rendering	Simon Niedermayr	Master