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Thilo Strauss
Thilo Strauss
Associate Professor, Xi’an Jiaotong-Liverpool University (XJTLU)
在 xjtlu.edu.cn 的电子邮件经过验证
标题
引用次数
引用次数
年份
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
3152019
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
2102020
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
1672017
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
392020
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
342019
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
252015
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: Von der Fahrerassistenz zum autonomen Fahren 6 …, 2021
11*2021
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
92015
Improved Training of Physics-Informed Neural Networks Using Energy-Based Priors: a Study on Electrical Impedance Tomography
A Pokkunuru, P Rooshenas, T Strauss, A Abhishek, T Khan
The Eleventh International Conference on Learning Representations, 2023
82023
Method and device for recognizing anomalies in a data stream of a communication network
A La Marca, M Hanselmann, T Strauss
US Patent App. 16/213,649, 2019
72019
Statistical inverse problems in electrical impedance and diffuse optical tomography
T Strauss
Clemson University, 2015
62015
Syncan dataset
M Hanselmann, T Strauss, K Dormann, H Ulmer
Retrieved August 1, 2021, 2020
32020
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
22022
An optimal Bayesian estimator for absorption coefficient in diffuse optical tomography
A Abhishek, T Strauss, T Khan
SIAM Journal on Imaging Sciences 15 (2), 797-821, 2022
22022
Differentiable Optimization for Orchestration: Resource Offloading for Vehicles in Smart Cities
T Strauss, M Oechsle, U Bauknecht
IEEE Access, 2024
12024
Comparison of Different Radial Basis Function Networks for the Electrical Impedance Tomography (EIT) Inverse Problem
CA Faiyaz, P Shahrear, RA Shamim, T Strauss, T Khan
Algorithms 16 (10), 461, 2023
12023
Implicit Solutions of the Electrical Impedance Tomography Inverse Problem in the Continuous Domain with Deep Neural Networks
T Strauss, T Khan
Entropy 25 (3), 493, 2023
12023
Computer-implemented method and device for a manipulation detection for exhaust gas treatment systems with the aid of artificial intelligence methods
M Hanselmann, JS Buchner, T Strauss, T Branz
US Patent App. 17/581,416, 2022
12022
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
12021
Decision making using a multi-criteria approach in a wholesale electrical power market
T Khan, J Reneke, R Grotheer, T Strauss
2015 Clemson University Power Systems Conference (PSC), 1-5, 2015
12015
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