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Dr.-Ing. Christian Müller

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Publications

Reliable Student: Addressing Noise in Semi-Supervised 3D Object Detection

Farzad Nozarian; Shashank Agarwal; Farzaneh Rezaeianaran; Danish Shahzad; Atanas Poibrenski; Christian Müller; Philipp Slusallek

In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops. CVPR Workshop on Learning with Limited Labelled Data for Image and Video Understanding (L3D-IVU-2023), located at 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition, June 19, Vancouver, Canada, Pages 4981-4990, IEEE, 6/2023.

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Context-empowered Visual Attention Prediction in Pedestrian Scenarios

Igor Vozniak; Philipp Müller; Lorena Hell; Nils Lipp; Ahmed Abouelazm; Christian Müller

In: CVF. IEEE Winter Conference on Applications of Computer Vision (WACV-2023), January 4-6, Waikoloa, Hawaii, USA, Pages 950-960, IEEE Explore, IEEE Xplore, 1/2023.

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Uncertainty-aware pseudo labels for domain adaptation in pedestrian trajectory prediction

Atanas Poibrenski; Farzad Nozarian; Farzaneh Rezaeianaran; Christian Müller

In: IEEE ITSC-2023. IEEE Intelligent Transportation Systems Conference (IEEE ITSC-2023), September 24-28, Bilbao, Spain, IEEExplore, 2023.

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Profile

  • CyberTestV2X

    Beyond 5G Virtuelle Umgebung für Cybersicherheitstests von V2X-Systeme

    The overall goal of the project is to enable safe and efficient autonomous driving by developing a virtual environment for cybersecurity testing of V2X systems in 5G and Beyond 5G scenarios…

  • MOMENTUM

    Robust Learning with Hybrid AI for Trustworthy Interaction of Humans and Machines in Complex Environments

    MOMENTUM is a research project dedicated to TRUSTED-AI, which aims to advance the development and application of artificial intelligence by integrating robustness and explainability. The aim of the…

    MOMENTUM

  • BSI_SiKI2

    Studie: Sicherheit von KI-Systemen - TP 2: Symbolische und Hybride KI-Methoden

    The Federal Office for Information Security (BSI) has commissioned a study on the topic of "Security of AI systems: Symbolic and Hybrid AI Methods". The study records the current state of research of…

  • KAI

    AI-supported assistant for interior development

    Within the framework of the research project "AI-supported assistant for interior development" (KAI), a development tool is to be created that uses AI methods to support the developer in the…

  • XAINES

    Explaining AI with Narratives

    In the XAINES project, the aim is not only to ensure explainability, but also to provide explanations (narratives). The central question is whether AI can explain in one sentence why it acted the way…

    XAINES
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