Object representation for fast trajectory collision testing by means of 2-D algebraic conic sections. - Stephan Tilgner; Jörg Velten; Anton Kummert (nDS, 2017)

Examination of direct form vs. WDF realization of a 2-D quadrantal fan filter in FPGA hardware. - Jörg Velten; Daniel Wagner 004; Lech Kolonko; Kathrin Kalischewski; Stephan Tilgner; Tim Schwerdtfeger; Anton Kummert (nDS, 2017)

Machine learning for people detection in guidance functionality of enabling health applications by means of cascaded SVM classifiers. - Alexandros Gavriilidis; Jörg Velten; Stephan Tilgner; Anton Kummert (J. Frankl. Inst., 2018)

Multi-View Fusion Neural Network with Application in the Manufacturing Industry. - Stephan Tilgner; Daniel Wagner 004; Kathrin Kalischewski; Jörg Velten; Anton Kummert (ISCAS, 2019)

Automatic Labeling of Industrial Images by using Generative Adversarial Networks. - Daniel Wagner 004; Kathrin Kalischewski; Stephan Tilgner; Jörg Velten; Anton Kummert (ISCAS, 2019)

Study on the Influence of Multiple Image Inputs of a Multi-View Fusion Neural Network Based on Grad-CAM and Masked Image Inputs. - Stephan Tilgner; Daniel Wagner 004; Kathrin Kalischewski; Jan-Christoph Schmitz; Anton Kummert (EUSIPCO, 2020)

Beiträge zur Qualitätssicherung von Produktionsprozessen durch maschinelles Lernen: Interpretierbare Klassifikatoren zur Fusion von Informationen aus Bilddaten verschiedener Blickwinkel und Generierung bedingter Bildpaare. - Stephan Tilgner (Shaker, 2023)

Uncertainty and Prediction Quality Estimation for Semantic Segmentation via Graph Neural Network. - Edgar Heinert; Stephan Tilgner; Timo Palm; Matthias Rottmann (BMVC Workshops, 2024)

Uncertainty and Prediction Quality Estimation for Semantic Segmentation via Graph Neural Networks. - Edgar Heinert; Stephan Tilgner; Timo Palm; Matthias Rottmann (CoRR, 2024)