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Research Topics

Image Recognition & Understanding

Image and pattern recognition techniques can be used to develop systems that not only analyze and understand individual images, but also recognize complex patterns and behaviors in multimedia content such as videos. By using deep learning technologies, training data can be generated for learning systems or valuable information can be obtained from optical sensors for various applications.

News

Projects

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  1. COPPER - Continual Optical Perception for Dynamic Environments in and around of Vehicles

    The COPPER project aims to develop new concepts in the context of alternative, advanced training strategies for deep neural networks applied in the field of assisted and autonomous driving. In…

  2. CRAI - Center of research and development of trustworthy AI applications for mid-sized companies

    The AI living lab CRAI (Center of research and development of trustworthy AI applications for mid-sized companies) is a research initiative that aims to make artificial intelligence accessible and…

  3. NoIDLEChatGPT - No-IDLE meets ChatGPT

    Das Projekt "No-IDLE meets ChatGPT" zielt darauf ab, die Mensch-Maschine-Interaktion bei der Aktualisierung von Deep-Learning-Modellen (DL) zu verbessern, indem die Mensch-Computer-Interaktion (HCI)…

  4. LIEREx - Language-Image Embeddings for Robotic Exploration

    "Robot, bring me a cup!"

    This seemingly simple instruction often poses significant problems for robots.

    A robot can use semantic maps to query the positions of objects, but those objects may not…

  5. TrustifAI - Mission Kl Innovation- and Quality Center (IQZ) Kaiserslautern (TrustifAI - Health and Wellbeing)

    Trustworthy AI applications for a secure future

    Under the leadership of acatech – National Academy of Science and Engineering, MISSION KI aims to strengthen the trustworthiness and reliability of AI…