M.Sc. Christian Reinbold

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I am 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 investigate 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 experiment with (deep) learning the global light transport of complex scenes containing participating media or scientific 3D volumes. As an amateur musician, I strive to combine the fields of Music, Visualization and Deep Learning. If you intend to realize your own idea in Music Visualization and write a thesis about it, feel free to contact me.

Publications

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]

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