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ORCIDJulian Wörmann
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2020 – today
- 2022
[i6]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:
Knowledge Augmented Machine Learning with Applications in Autonomous Driving: A Survey. CoRR abs/2205.04712 (2022)- 2021
- [c6]Julian Wörmann, Melanie Urban, David Grubinger, Nuno Silva, Hans-Peter Schwefel:
Neural Network and Correlation based Earth-Fault Localization utilizing a Digital Twin of a Medium-Voltage Grid. e-Energy 2021: 249-253 - [c5]Alexander Sagel, Julian Wörmann, Hao Shen:
Dynamic Texture Recognition via Nuclear Distances on Kernelized Scattering Histogram Spaces. ICASSP 2021: 3755-3759 - [c4]Julian Wörmann, Ehsan Tafehi, Markus Duchon, Nuno Silva, Hans-Peter Schwefel:
Sensitivity Analysis of Earth Fault Localization based on Voltage Signatures in Medium Voltage Grids. ICC 2021: 1-6 - [i5]Alexander Sagel, Julian Wörmann, Hao Shen:
Dynamic Texture Recognition via Nuclear Distances on Kernelized Scattering Histogram Spaces. CoRR abs/2102.00841 (2021) - 2020
- [i4]Alexander Sagel, Amit Sahu, Stefan Matthes, Holger Pfeifer, Tianming Qiu, Harald Rueß, Hao Shen, Julian Wörmann:
Knowledge as Invariance - History and Perspectives of Knowledge-augmented Machine Learning. CoRR abs/2012.11406 (2020)
2010 – 2019
- 2019
- [b1]Julian Wörmann:
Structured Co-sparse Analysis Operator Learning for Inverse Problems in Imaging. Technical University of Munich, Germany, 2019 - 2017
- [c3]Julia Lüthen, Julian Wörmann, Martin Kleinsteuber, Johannes Steurer:
A RGB/NIR Data Set For Evaluating Dehazing Algorithms. IQSP 2017: 79-87 - 2016
- [j2]Matthias Seibert, Julian Wörmann, Rémi Gribonval, Martin Kleinsteuber:
Learning Co-Sparse Analysis Operators With Separable Structures. IEEE Trans. Signal Process. 64(1): 120-130 (2016) - 2015
- [i3]Matthias Seibert, Julian Wörmann, Rémi Gribonval, Martin Kleinsteuber:
Learning Co-Sparse Analysis Operators with Separable Structures. CoRR abs/1503.02398 (2015) - 2014
- [c2]Matthias Seibert, Julian Wörmann, Rémi Gribonval, Martin Kleinsteuber:
Separable cosparse Analysis Operator learning. EUSIPCO 2014: 770-774 - [i2]Matthias Seibert, Julian Wörmann, Rémi Gribonval, Martin Kleinsteuber:
Separable Cosparse Analysis Operator Learning. CoRR abs/1406.1621 (2014) - 2013
- [j1]Julian Wörmann, Simon Hawe, Martin Kleinsteuber:
Analysis Based Blind Compressive Sensing. IEEE Signal Process. Lett. 20(5): 491-494 (2013) - [i1]Julian Wörmann, Simon Hawe, Martin Kleinsteuber:
Analysis Based Blind Compressive Sensing. CoRR abs/1302.1094 (2013) - 2010
- [c1]Julian Wörmann, Andrea Braun, Martin Mempel, Karl-Hans Englmeier, Peter Hamm:
Automatisierte quantitative Analyse der Zellzusammensetzung von bronchoalveolaren Spülungen. Bildverarbeitung für die Medizin 2010: 196-200
Coauthor Index
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