M.Sc. Chengzhi Wu

  • Karlsruher Institut für Technologie – KIT
    Lehrstuhl für Interaktive Echtzeitsysteme (IES)
    Prof. Dr.- Ing. Jürgen Beyerer
    c/o Technologiefabrik
    Haid-und-Neu-Str. 7
    76131 Karlsruhe


Chengzhi Wu received his master’s degree in Control Science and Engineering from Nanjing University in 2016 and his bachelor’s degree in Automation from Nanjing University in 2013. He worked in Institute for Visualization and Data Analysis (IVD) at Karlsruher Institut für Technologie (KIT) as a scientific staff from April 2017 to March 2019. Since April 2019, he has joined Lehrstuhl für Interaktive Echtzeitsysteme (IES) at KIT and continued his work towards a PhD degree. He is currently researching on learning tasks on 3D data via machine learning algorithms, including neural networks-based deep learning.


Agiles Produktionssystem mittels lernender Roboter bei ungewissen Produktzuständen am Beispiel der Anlasser-Demontage = Concept of an agile production system based on learning robots applied to disassembly
Lanza, G.; Asfour, T.; Beyerer, J.; Deml, B.; Fleischer, J.; Heizmann, M.; Furmans, K.; Hofmann, C.; Cebulla, A.; Dreher, C.; Kaiser, J.-P.; Klein, J.-F.; Leven, F.; Mangold, S.; Mitschke, N.; Stricker, N.; Pfrommer, J.; Wu, C.; Wurster, M.; Zaremski, M.
2022. at - Automatisierungstechnik, 70 (6), 504–516. doi:10.1515/auto-2021-0158
Attention Mechanism in Computer Vision: Current Status and Prospect
Wu, C.
2022. Proceedings of the 2021 Joint Workshop of Fraunhofer IOSB and Institute for Anthropomatics, Vision and Fusion Laboratory, 207–221, Karlsruher Institut für Technologie (KIT)
MotorFactory: A Blender Add-on for Large Dataset Generation of Small Electric Motors
Wu, C.; Zhou, K.; Kaiser, J.-P.; Mitschke, N.; Klein, J.-F.; Pfrommer, J.; Beyerer, J.; Lanza, G.; Heizmann, M.; Furmans, K.
2022. Procedia CIRP, 106, 138–143. doi:10.1016/j.procir.2022.02.168
Learning Universal Vector Representation for Objects of Different 3D Euclidean formats
Wu, C.
2021. Proceedings of the 2020 Joint Workshop of Fraunhofer IOSB and Institute for Anthropomatics, Vision and Fusion Laboratory. Ed.: J. Beyerer; T. Zander, 155–170, KIT Scientific Publishing
Object Detection in 3D Point Clouds via Local Correlation-Aware Point Embedding
Fraunhofer IOSB; Wu, C.; Pfrommer, J.; Beyerer, J.; Li, K.; Neubert, B.
2021. 2020 Joint 9th International Conference on Informatics, Electronics & Vision (ICIEV) and 2020 4th International Conference on Imaging, Vision & Pattern Recognition (icIVPR), Kitakyushu, Japan, 26-29 Aug. 2020, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ICIEVicIVPR48672.2020.9306522
Learning with Latent Representations of 3D Data: from Classical Methods to 3D Deep Learning
Wu, C.
2020. Proceedings of the 2019 Joint Workshop of Fraunhofer IOSB and Institute for Anthropomatics, Vision and Fusion Laboratory. Hrsg.: J. Beyerer; T. Zander, 133–149, KIT Scientific Publishing