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Julian Wörmann
Julian Wörmann
在 fortiss.org 的电子邮件经过验证
标题
引用次数
引用次数
年份
A rgb/nir data set for evaluating dehazing algorithms
J Lüthen, J Wörmann, M Kleinsteuber, J Steurer
Electronic Imaging, Image Quality and System Performance XIV, 2017
272017
Analysis based blind compressive sensing
J Wörmann, S Hawe, M Kleinsteuber
IEEE Signal Processing Letters 20 (5), 491-494, 2013
232013
Learning co-sparse analysis operators with separable structures
M Seibert, J Wörmann, R Gribonval, M Kleinsteuber
IEEE Transactions on Signal Processing 64 (1), 120-130, 2015
212015
Knowledge augmented machine learning with applications in autonomous driving: A survey
J Wörmann, D Bogdoll, C Brunner, E Bührle, H Chen, EF Chuo, ...
arXiv preprint arXiv:2205.04712, 2022
132022
Separable cosparse analysis operator learning
M Seibert, J Wörmann, R Gribonval, M Kleinsteuber
2014 22nd European Signal Processing Conference (EUSIPCO), 770-774, 2014
112014
Knowledge as Invariance--History and Perspectives of Knowledge-augmented Machine Learning
A Sagel, A Sahu, S Matthes, H Pfeifer, T Qiu, H Rueß, H Shen, J Wörmann
arXiv preprint arXiv:2012.11406, 2020
32020
Neural network and correlation based earth-fault localization utilizing a digital twin of a medium-voltage grid
J Wörmann, M Urban, D Grubinger, N Silva, HP Schwefel
Proceedings of the Twelfth ACM International Conference on Future Energy …, 2021
22021
Sensitivity analysis of earth fault localization based on voltage signatures in medium voltage grids
J Wörmann, E Tafehi, M Duchon, N Silva, HP Schwefel
ICC 2021-IEEE International Conference on Communications, 1-6, 2021
22021
Erdschlusslokalisierung basierend auf transienten Spannungsmessungen am Umspannwerk: Erfahrungen aus drei realen Mittelspannungsnetzen
J Wörmann, C Schäler, M Duchon, HPC Schwefel
Sternpunktbehandlung in Netzen bis 110kV:(DA-CH), 2022
2022
Dynamic Texture Recognition via Nuclear Distances on Kernelized Scattering Histogram Spaces
A Sagel, J Wörmann, H Shen
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
2021
Structured Co-sparse Analysis Operator Learning for Inverse Problems in Imaging
J Wörmann
Technische Universität München, 2019
2019
Separable Cosparse Analysis Operator Learning
J Wörmann
2014
Automatisierte quantitative Analyse der Zellzusammensetzung von bronchoalveolaren Spülungen.
J Wörmann, A Braun, M Mempel, KH Englmeier, P Hamm
Bildverarbeitung für die Medizin, 196-200, 2010
2010
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