MEGARAJAN, Pranav, HILLENBRAND, Ulrich, PLÖGER, Paul G. und TRIEBEL, Rudolph, 2022. Effective neighborhood feature exploitation in graph CNNs for point cloud object-part segmentation. Sankt Augustin: Hochschule Bonn-Rhein-Sieg. ISBN 9783960430995.
Elsevier - Harvard (with titles)Megarajan, P., Hillenbrand, U., Plöger, P.G., Triebel, R., 2022. Effective neighborhood feature exploitation in graph CNNs for point cloud object-part segmentation, Technical report / Hochschule Bonn-Rhein-Sieg - University of Applied Sciences, Department of Computer Science. Hochschule Bonn-Rhein-Sieg, Sankt Augustin. https://doi.org/10.18418/978-3-96043-099-5
American Psychological Association 7th editionMegarajan, P., Hillenbrand, U., Plöger, P. G., & Triebel, R. (ca. 2022). Effective neighborhood feature exploitation in graph CNNs for point cloud object-part segmentation [Cd]. In Technical report / Hochschule Bonn-Rhein-Sieg - University of Applied Sciences, Department of Computer Science. Hochschule Bonn-Rhein-Sieg. https://doi.org/10.18418/978-3-96043-099-5
Springer - Basic (author-date)Megarajan P, Hillenbrand U, Plöger PG, Triebel R (2022) Effective neighborhood feature exploitation in graph CNNs for point cloud object-part segmentation. Hochschule Bonn-Rhein-Sieg, Sankt Augustin
Juristische Zitierweise (Stüber) (Deutsch)Megarajan, Pranav/ Hillenbrand, Ulrich/ Plöger, Paul G./ Triebel, Rudolph, Effective neighborhood feature exploitation in graph CNNs for point cloud object-part segmentation, Sankt Augustin 2022.