Julian Wörmann

According to our database, Julian Wörmann authored at least 11 papers between 2010 and 2022.

Collaborative distances:

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

2022

Knowledge Augmented Machine Learning with Applications in Autonomous Driving: A Survey.

Julian Wörmann, Daniel Bogdoll, Etienne Bührle, Han Chen, Evaristus Fuh Chuo, Kostadin Cvejoski, Ludger van Elst, Tobias Gleißner, Philip Gottschall, Stefan Griesche, Christian Hellert, Christian Hesels, Sebastian Houben, Tim Joseph, Niklas Keil, Johann Kelsch, Hendrik Königshof, Erwin Kraft, Leonie Kreuser, Kevin Krone, Tobias Latka, Denny Mattern, Stefan Matthes, Mohsin Munir, Moritz Nekolla, Adrian Paschke, Maximilian Alexander Pintz, Tianming Qiu, Faraz Qureishi, Syed Tahseen Raza Rizvi, Jörg Reichardt, Laura von Rüden, Stefan Rudolph, Alexander Sagel, Gerhard Schunk, Hao Shen, Hendrik Stapelbroek, Vera Stehr, Gurucharan Srinivas, Anh Tuan Tran, Abhishek Vivekanandan, Ya Wang, Florian Wasserrab, Tino Werner, Christian Wirth, Stefan Zwicklbauer

CoRR, 2022

2021

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

Julian Wörmann, Ehsan Tafehi, Markus Duchon, Nuno Silva, Hans-Peter Schwefel

Proceedings of the ICC 2021, 2021

Dynamic Texture Recognition via Nuclear Distances on Kernelized Scattering Histogram Spaces.

Alexander Sagel, Julian Wörmann, Hao Shen

Proceedings of the IEEE International Conference on Acoustics, 2021

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

Julian Wörmann, Melanie Urban, David Grubinger, Nuno Silva, Hans-Peter Schwefel

Proceedings of the e-Energy '21: The Twelfth ACM International Conference on Future Energy Systems, Virtual Event, Torino, Italy, 28 June, 2021

2020

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

Alexander Sagel, Amit Sahu, Stefan Matthes, Holger Pfeifer, Tianming Qiu, Harald Rueß, Hao Shen, Julian Wörmann

CoRR, 2020

2019

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

Julian Wörmann

PhD thesis, 2019

2017

A RGB/NIR Data Set For Evaluating Dehazing Algorithms.

Julia Lüthen, Julian Wörmann, Martin Kleinsteuber, Johannes Steurer

Proceedings of the Image Quality and System Performance XIV, Electronic Imaging 2017, 2017

2016

Learning Co-Sparse Analysis Operators With Separable Structures.

Matthias Seibert, Julian Wörmann, Rémi Gribonval, Martin Kleinsteuber

IEEE Trans. Signal Process., 2016

2014

Separable cosparse Analysis Operator learning.

Matthias Seibert, Julian Wörmann, Rémi Gribonval, Martin Kleinsteuber

Proceedings of the 22nd European Signal Processing Conference, 2014

2013

Analysis Based Blind Compressive Sensing.

Julian Wörmann, Simon Hawe, Martin Kleinsteuber

IEEE Signal Process. Lett., 2013

2010

Automatisierte quantitative Analyse der Zellzusammensetzung von bronchoalveolaren Spülungen.

Julian Wörmann, Andrea Braun, Martin Mempel, Karl-Hans Englmeier, Peter Hamm

Proceedings of the Bildverarbeitung für die Medizin 2010 - Algorithmen - Systeme, 2010