Julian Wörmann

17 papers Misc 1Journal 9Unranked 6
YearRankTypeTitle / Venue / Authors
2025 J jnl
Resource-Efficient Adaptation of Large Language Models for Text Embeddings via Prompt Engineering and Contrastive Fine-tuning.
CoRR
Benedikt Roth, Stephan Rappensperger, Tianming Qiu, Hamza Imamovic, Julian Wörmann, Hao Shen
2024 — conf
Data-driven Earth-fault Localization via Neural Network Models for Classification and Regression.
SmartGridComm
Julian Wörmann, Camilo Amaya, Max Eichelseder, Markus Duchon, Hans-Peter Schwefel
2022 J jnl
Knowledge Augmented Machine Learning with Applications in Autonomous Driving: A Survey.
CoRR
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
2021 Misc conf
Dynamic Texture Recognition via Nuclear Distances on Kernelized Scattering Histogram Spaces.
ICASSP
Alexander Sagel, Julian Wörmann, Hao Shen
2021 J jnl
Dynamic Texture Recognition via Nuclear Distances on Kernelized Scattering Histogram Spaces.
CoRR
Alexander Sagel, Julian Wörmann, Hao Shen
2021 — conf
Neural Network and Correlation based Earth-Fault Localization utilizing a Digital Twin of a Medium-Voltage Grid.
e-Energy
Julian Wörmann, Melanie Urban, David Grubinger, Nuno Silva, Hans-Peter Schwefel
2021 — conf
Sensitivity Analysis of Earth Fault Localization based on Voltage Signatures in Medium Voltage Grids.
ICC
Julian Wörmann, Ehsan Tafehi, Markus Duchon, Nuno Silva, Hans-Peter Schwefel
2020 J jnl
Knowledge as Invariance - History and Perspectives of Knowledge-augmented Machine Learning.
CoRR
Alexander Sagel, Amit Sahu, Stefan Matthes, Holger Pfeifer, Tianming Qiu, Harald Rueß, Hao Shen, Julian Wörmann
2019 — —
Structured Co-sparse Analysis Operator Learning for Inverse Problems in Imaging.
Julian Wörmann
2017 — conf
A RGB/NIR Data Set For Evaluating Dehazing Algorithms.
IQSP
Julia Lüthen, Julian Wörmann, Martin Kleinsteuber, Johannes Steurer
2016 J jnl
Learning Co-Sparse Analysis Operators With Separable Structures.
IEEE Trans. Signal Process.
Matthias Seibert, Julian Wörmann, Rémi Gribonval, Martin Kleinsteuber
2015 J jnl
Learning Co-Sparse Analysis Operators with Separable Structures.
CoRR
Matthias Seibert, Julian Wörmann, Rémi Gribonval, Martin Kleinsteuber
2014 J jnl
Separable Cosparse Analysis Operator Learning.
CoRR
Matthias Seibert, Julian Wörmann, Rémi Gribonval, Martin Kleinsteuber
2014 — conf
Separable cosparse Analysis Operator learning.
EUSIPCO
Matthias Seibert, Julian Wörmann, Rémi Gribonval, Martin Kleinsteuber
2013 J jnl
Analysis Based Blind Compressive Sensing
CoRR
Julian Wörmann, Simon Hawe, Martin Kleinsteuber
2013 J jnl
Analysis Based Blind Compressive Sensing.
IEEE Signal Process. Lett.
Julian Wörmann, Simon Hawe, Martin Kleinsteuber
2010 — conf
Automatisierte quantitative Analyse der Zellzusammensetzung von bronchoalveolaren Spülungen.
Bildverarbeitung für die Medizin
Julian Wörmann, Andrea Braun, Martin Mempel, Karl-Hans Englmeier, Peter Hamm