Julian Wörmann

Analysis Based Blind Compressive Sensing

Martin Kleinsteuber, Simon Hawe, Julian Wörmann, 2013, IEEE Signal Processing Letters.

Separable cosparse Analysis Operator learning

Rémi Gribonval, Martin Kleinsteuber, Julian Wörmann, 2014, 2014 22nd European Signal Processing Conference (EUSIPCO).

Knowledge as Invariance - History and Perspectives of Knowledge-augmented Machine Learning pdf

Amit Sahu, Holger Pfeifer, Julian Wörmann, 2020, ArXiv.

A RGB/NIR Data Set For Evaluating Dehazing Algorithms

Martin Kleinsteuber, Julian Wörmann, Johannes Steurer, 2017 .

Automatisierte quantitative Analyse der Zellzusammensetzung von bronchoalveolaren Spülungen

Karl-Hans Englmeier, Julian Wörmann, Peter Hamm, 2010, Bildverarbeitung für die Medizin.

Learning Co-Sparse Analysis Operators With Separable Structures

Rémi Gribonval, Martin Kleinsteuber, Julian Wörmann, 2015, IEEE Transactions on Signal Processing.

Structured Co-sparse Analysis Operator Learning for Inverse Problems in Imaging

Julian Wörmann, 2019 .

Dynamic Texture Recognition via Nuclear Distances on Kernelized Scattering Histogram Spaces

Julian Wörmann, Alexander Sagel, Hao Shen, 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Neural Network and Correlation based Earth-Fault Localization utilizing a Digital Twin of a Medium-Voltage Grid

Hans-Peter Schwefel, Julian Wörmann, Melanie Urban, 2021, e-Energy.

Sensitivity Analysis of Earth Fault Localization based on Voltage Signatures in Medium Voltage Grids

Hans-Peter Schwefel, Markus Duchon, Ehsan Tafehi, 2021, ICC 2021 - IEEE International Conference on Communications.