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2020 – today
- 2024
[i1]Edgar Heinert, Stephan Tilgner, Timo Palm, Matthias Rottmann:
Uncertainty and Prediction Quality Estimation for Semantic Segmentation via Graph Neural Networks. CoRR abs/2409.11373 (2024)- 2023
- [b1]Stephan Tilgner:
Beiträge zur Qualitätssicherung von Produktionsprozessen durch maschinelles Lernen: Interpretierbare Klassifikatoren zur Fusion von Informationen aus Bilddaten verschiedener Blickwinkel und Generierung bedingter Bildpaare. University of Wuppertal, Germany, Shaker 2023, ISBN 978-3-8440-8924-0, pp. 1-224 - 2020
- [c5]Stephan Tilgner, Daniel Wagner, Kathrin Kalischewski, Jan-Christoph Schmitz, Anton Kummert:
Study on the Influence of Multiple Image Inputs of a Multi-View Fusion Neural Network Based on Grad-CAM and Masked Image Inputs. EUSIPCO 2020: 1427-1431
2010 – 2019
- 2019
- [c4]Stephan Tilgner, Daniel Wagner, Kathrin Kalischewski, Jörg Velten, Anton Kummert:
Multi-View Fusion Neural Network with Application in the Manufacturing Industry. ISCAS 2019: 1-5 - [c3]Daniel Wagner, Kathrin Kalischewski, Stephan Tilgner, Jörg Velten, Anton Kummert:
Automatic Labeling of Industrial Images by using Generative Adversarial Networks. ISCAS 2019: 1-5 - 2018
- [j1]Alexandros Gavriilidis, Jörg Velten
, Stephan Tilgner, Anton Kummert:
Machine learning for people detection in guidance functionality of enabling health applications by means of cascaded SVM classifiers. J. Frankl. Inst. 355(4): 2009-2021 (2018) - 2017
- [c2]Stephan Tilgner, Jörg Velten, Anton Kummert:
Object representation for fast trajectory collision testing by means of 2-D algebraic conic sections. nDS 2017: 1-6 - [c1]Jörg Velten, Daniel Wagner, Lech Kolonko, Kathrin Kalischewski, Stephan Tilgner, Tim Schwerdtfeger, Anton Kummert:
Examination of direct form vs. WDF realization of a 2-D quadrantal fan filter in FPGA hardware. nDS 2017: 1-6
Coauthor Index
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