Thilo Strauss
Cited by
Cited by
Texture Fields: Learning Texture Representations in Function Space
M Oechsle, L Mescheder, M Niemeyer, T Strauss, A Geiger
Proceedings of the IEEE International Conference on Computer Vision, 4531-4540, 2019
Ensemble methods as a defense to adversarial perturbations against deep neural networks
T Strauss, M Hanselmann, A Junginger, H Ulmer
arXiv preprint arXiv:1709.03423, 2017
CANet: An unsupervised intrusion detection system for high dimensional CAN bus data
M Hanselmann, T Strauss, K Dormann, H Ulmer
Ieee Access 8, 58194-58205, 2020
Learning implicit surface light fields
M Oechsle, M Niemeyer, C Reiser, L Mescheder, T Strauss, A Geiger
2020 International Conference on 3D Vision (3DV), 452-462, 2020
Comparison of statistical inversion with iteratively regularized Gauss Newton method for image reconstruction in electrical impedance tomography
S Ahmad, T Strauss, S Kupis, T Khan
Applied Mathematics and Computation 358, 436-448, 2019
Statistical inversion in electrical impedance tomography using mixed total variation and non-convex ℓp regularization prior
T Strauss, T Khan
Journal of Inverse and Ill-posed Problems 23 (5), 529-542, 2015
Unpaired high-resolution and scalable style transfer using generative adversarial networks
A Junginger, M Hanselmann, T Strauss, S Boblest, J Buchner, H Ulmer
arXiv preprint arXiv:1810.05724, 2018
Statistical inverse problems in electrical impedance and diffuse optical tomography
T Strauss
Clemson University, 2015
Statistical inversion of absolute permeability in single-phase darcy flow
T Strauss, X Fan, S Sun, T Khan
Procedia Computer Science 51, 1188-1197, 2015
Device and method for classifying data in particular for a controller area network or an automotive ethernet network
M Hanselmann, H Ulmer, K Dormann, T Strauss, A Junginger, JS Buchner, ...
US Patent App. 16/742,353, 2020
An Optimal Bayesian Estimator for Absorption Coefficient in Diffuse Optical Tomography
A Abhishek, T Strauss, T Khan
Transforming measured data between various configurations of measuring systems
A Junginger, T Strauss
US Patent App. 17/448,270, 2022
Augmentation and processing of radar data with machine learning
A Junginger, MJ Oechsle, T Strauss
US Patent App. 17/391,307, 2022
Method and apparatus for detecting manipulation of a technical device in a motor vehicle utilizing methods of artificial intelligence
A Serout, JS Buchner, M Hanselmann, N Ide, S Nagel, T Branz, T Strauss
US Patent App. 17/445,356, 2022
Method and apparatus for calibrating a system for recognizing attempts to penetrate a computer network
T Strauss, K Dormann, M Hanselmann
US Patent 11,206,274, 2021
Method and device for ascertaining anomalies in a communications network
A Junginger, H Ulmer, M Hanselmann, T Strauss
US Patent 11,057,279, 2021
Method for the automated creation of rules for a rule-based anomaly recognition in a data stream
A La Marca, M Hanselmann, T Strauss
US Patent 10,958,675, 2021
High-Resolution Neural Style Transfer for Test Data Generation for ADAS/HAD Functions
A Junginger, M Hanselmann, T Strauss, S Boblest, J Buchner, H Ulmer
Automatisiertes Fahren 2020, 153-164, 2021
Statistical Inversion Using Sparsity and Total Variation Prior And Monte Carlo Sampling Method For Diffuse Optical Tomography
T Strauss, S Ahmad, T Khan
arXiv preprint arXiv:2002.08038, 2020
Interaktive Visualisierung im Machine Learning Workflow
S Boblest, A Junginger, T Strauss
Interaktive Datenvisualisierung in Wissenschaft und Unternehmenspraxis, 189-210, 2020
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