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Head of the Research Department Augmented Vision

Prof. Dr. Didier Stricker

Contact

https://av.dfki.de/members/stricker/
Prof. Dr. Didier Stricker

Publications

JPPF: Multi-task Fusion for Consistent Panoptic-Part Segmentation

Shishir Muralidhara; Sravan Kumar Jagadeesh; René Schuster; Didier Stricker

In: SN Computer Science (SNCS), Vol. 5, Pages 0-23, Springer, 2024.

To the publication

CaRaCTO: Robust Camera-Radar Extrinsic Calibration with Triple Constraint Optimization

Mahdi Chamseddine; Jason Raphael Rambach; Didier Stricker

In: International Conference on Pattern Recognition Applications and Methods. International Conference on Pattern Recognition Applications and Methods (ICPRAM-2024), February 24-26, Rome, Italy, SCITEPRESS, 2024.

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FeatEnHancer: Enhancing Hierarchical Features for Object Detection and Beyond Under Low-Light Vision

Khurram Azeem Hashmi; Goutham Kallempudi; Didier Stricker; Muhammad Zeshan Afzal

In: International Conference on Computer Vision. International Conference on Computer Vision (ICCV-2023), October 2-6, Paris, France, IEEE, 10/2023.

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Profile

Prof. Dr. Didier Stricker (born 1969) 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 Technical University of Kaiserslautern since 2008. At TU Kaiserslautern, 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.

  • 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

  • VisIMon

    Networked, Intelligent and Interactive System for Continuous, Perioperative Monitoring and Control of an Irrigation Device, as well as for Functional Monitoring of the Lower Urinary Tactonitoring

    Continuous bladder irrigation is the standard after operations on the bladder, prostate, or kidneys to prevent complications caused by blood clots. The irrigation should be monitored constantly, but…

    VisIMon
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