Thilo Strauss

According to our database, Thilo Strauss authored at least 19 papers between 2015 and 2025.

Collaborative distances:

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

2025

Optimized YOLOv5 model for safety helmet and flame detection system.

Zhuoyuan Tang, Md Maruf Hasan, Thilo Strauss

Signal Image Video Process., August, 2025

Preference-Based Gradient Estimation for ML-Based Approximate Combinatorial Optimization.

Arman Mielke, Uwe Bauknecht, Thilo Strauss, Mathias Niepert

CoRR, February, 2025

2024

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems.

Sudeb Majee, Anuj Abhishek, Thilo Strauss, Taufiquar Khan

CoRR, 2024

Solving the Electrical Impedance Tomography Problem with a DeepONet Type Neural Network: Theory and Application.

Anuj Abhishek, Thilo Strauss

CoRR, 2024

A Bayesian level-set inversion method for simultaneous reconstruction of absorption and diffusion coefficients in diffuse optical tomography.

Anuj Abhishek, Thilo Strauss, Taufiquar Khan

CoRR, 2024

Differentiable Optimization for Orchestration: Resource Offloading for Vehicles in Smart Cities.

Thilo Strauss, Michael Oechsle, Uwe Bauknecht

IEEE Access, 2024

2023

Implicit Solutions of the Electrical Impedance Tomography Inverse Problem in the Continuous Domain with Deep Neural Networks.

Thilo Strauss, Taufiquar Khan

Entropy, March, 2023

Comparison of Different Radial Basis Function Networks for the Electrical Impedance Tomography (EIT) Inverse Problem.

Chowdhury Abrar Faiyaz, Pabel Shahrear, Rakibul Alam Shamim, Thilo Strauss, Taufiquar Khan

Algorithms, 2023

Improved Training of Physics-Informed Neural Networks Using Energy-Based Priors: a Study on Electrical Impedance Tomography.

Akarsh Pokkunuru, Pedram Rooshenas, Thilo Strauss, Anuj Abhishek, Taufiquar Khan

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

An Optimal Bayesian Estimator for Absorption Coefficient in Diffuse Optical Tomography.

Anuj Abhishek, Thilo Strauss, Taufiquar Khan

SIAM J. Imaging Sci., 2022

2020

Learning Implicit Surface Light Fields.

Michael Oechsle, Michael Niemeyer, Lars M. Mescheder, Thilo Strauss, Andreas Geiger

CoRR, 2020

Statistical Inversion Using Sparsity and Total Variation Prior And Monte Carlo Sampling Method For Diffuse Optical Tomography.

Thilo Strauss, Sanwar Ahmad, Taufiquar Khan

CoRR, 2020

CANet: An Unsupervised Intrusion Detection System for High Dimensional CAN Bus Data.

Markus Hanselmann, Thilo Strauss, Katharina Dormann, Holger Ulmer

IEEE Access, 2020

Learning Implicit Surface Light Fields.

Michael Oechsle, Michael Niemeyer, Christian Reiser, Lars M. Mescheder, Thilo Strauss, Andreas Geiger

Proceedings of the 8th International Conference on 3D Vision, 2020

2019

Comparison of statistical inversion with iteratively regularized Gauss Newton method for image reconstruction in electrical impedance tomography.

Sanwar Ahmad, Thilo Strauss, Shyla Kupis, Taufiquar Khan

Appl. Math. Comput., 2019

Texture Fields: Learning Texture Representations in Function Space.

Michael Oechsle, Lars M. Mescheder, Michael Niemeyer, Thilo Strauss, Andreas Geiger

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Unpaired High-Resolution and Scalable Style Transfer Using Generative Adversarial Networks.

Andrej Junginger, Markus Hanselmann, Thilo Strauss, Sebastian Boblest, Jens Buchner, Holger Ulmer

CoRR, 2018

2017

Ensemble Methods as a Defense to Adversarial Perturbations Against Deep Neural Networks.

Thilo Strauss, Markus Hanselmann, Andrej Junginger, Holger Ulmer

CoRR, 2017

2015

Statistical Inversion of Absolute Permeability in Single-phase Darcy Flow.

Thilo Strauss, Xiaolin Fan, Shuyu Sun, Taufiquar Khan

Proceedings of the International Conference on Computational Science, 2015