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Leiter des Forschungsbereichs Erweiterte Realität

Prof. Dr. Didier Stricker

Publications

Tahira Shehzadi; Didier Stricker; Muhammad Zeshan Afzal

In: International Conference on Document Analysis and Recognition (ICDAR-2024). International Conference on Document Analysis and Recognition (ICDAR-2024), 18th International Conference on Document Analysis and Recognition, August 30 - September 4, Athen, Greece, Pages 1-15, Springer Lecture Notes in Computer Science (LNCS), Springer Nature, Switzerland, 9/2024.

To the publication

Iqraa Ehsan; Tahira Shehzadi; Didier Stricker; Muhammad Zeshan Afzal

In: International Journal on Document Analysis and Recognition (IJDAR), Vol. 1, Pages 1-15, Springer, 2024, Athens, Greece, 9/2024.

To the publication

Talha Uddin Sheikh; Tahira Shehzadi; Khurram Azeem Hashmi; Didier Stricker; Muhammad Zeshan Afzal

In: International Workshop on Document Analysis Systems. IAPR International Workshop on Document Analysis Systems (DAS-2024), August 29 - September 4, Springer, Athens, Greece, 8/2024.

To the publication

Profile

Prof. Dr. Didier Stricker has been Scientific Director and Head of the Augmented Reality Research Unit at the German Research Center for Artificial Intelligence (DFKI) in Kaiserslautern and Professor of Computer Science at the University Kaiserslautern-Landau (RPTU) since 2008. At the RPTU Kaiserslautern-Landau, he also manages the AG Augmented Vision. Didier Stricker studied electrical engineering at the Technical University of Grenoble and at the Technical University of Karlsruhe and graduated from both universities. In 2002 he received his PhD from the Technical University of Darmstadt with the topic: “Computer Vision-based Calibration and Tracking Methods for Augmented Reality Applications”. From 2002 to 2008, Didier Stricker led the “Virtual and Augmented Reality” department of the Fraunhofer Institute for Computer Graphics Research (IGD) in Darmstadt. He acts as an expert for various European and national research organizations.

His scientific focus is virtual and augmented reality, computer vision, human-computer interaction and user recognition.

  • Luminous

    Language Augmentation for Humanverse

    LUMINOUS aims at the creation of the next generation of Language Augmented XR systems, where natural language-based communication and Multimodal Large Language Models (MLLM) enable adaptation to…

  • SHARESPACE

    Embodied Social Experiences in Hybrid Shared Spaces

    SHARESPACE will demonstrate a radically new technology for promoting ethical and social interaction in eXtended Reality

    (XR) Shared Hybrid Spaces (SHS), anchored in human sensorimotor communication.…

    SHARESPACE
  • I-Nergy

    Artificial Intelligence for Next Generation Energy

    AI spreading in the energy sector is expected to dramatically reshape energy value chain in the next years, by improving

    business processes performance, while increasing environmental sustainability,…

  • BIONIC

    Personalized Body Sensor Networks with Built-In Intelligence for Real-Time Risk Assessment and Coaching of Ageing workers, in all types of working and living environments

    Improper strain on the musculoskeletal system, repetitive movements or an ergonomically uncomfortable posture lead to complaints from many employees. In particular, older employees often suffer from…

    BIONIC
  • VIDETE

    Generation of prior knowledge with the help of learning systems for 4D analysis of complex scenes

    Motivation

    Artificial intelligence currently influences many areas, including machine vision. For applications in the fields of autonomous systems, medicine and industry there are fundamental…

    VIDETE
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