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Jürgen Beyerer
Also published under:Juergen Beyerer, Jurgen Beyerer, J. Beyerer
Affiliation
Fraunhofer Institute of Optronics, System Technologies and Image Exploitation (IOSB), Karlsruhe, Germany
Topic
Data Augmentation,Neural Network,Training Data,Attention Mechanism,Point Cloud,Automated Vehicles,Convolutional Neural Network,Domain Shift,Intersection Over Union,Training Set,Action Recognition,Attribute Recognition,Bounding Box,Image Classification,Latent Space,Learning Rate,Object Detection,Pedestrian Attribute Recognition,Real-world Scenarios,Semantic Segmentation,Catastrophic Forgetting,Deep Learning,Evaluation Protocol,F1 Score,Feature Fusion,Image Encoder,Latent Representation,Path Planning,Person Retrieval,Point Cloud Data,Self-supervised Learning,Semantic Properties,Small Datasets,Time Step,Transfer Learning,Transformer Architecture,Vision Transformer,3D Data,3D Point Cloud,3D Shape,Ablation Experiments,Action Recognition Model,AdamW Optimizer,Advanced Driver Assistance Systems,Anomaly Detection,Appearance Features,Appearance Information,Attention Heads,Augmentation Techniques,Base Classes,
Biography
Jürgen Beyerer (Member, IEEE) has been a Full Professor for informatics with the Institute for Anthropomatics and Robotics, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany, since March 2004 and the Director of the Fraunhofer Institute of Optronics, System Technologies and Image Exploitation (IOSB) in Ettlingen, Karlsruhe, Ilmenau, Lemgo. Görlitz. He is Spokesman of the Fraunhofer Group for Defense and Security VVS and he is member of Acatech, National Academy of Science and Engineering. He is the Head of Team 7 of the platform Lernende Systeme and Spokesman of the Competence Center Robotic Systems for Decontamination in Hazardous Environments. His current research interests include automated visual inspection, signal and image processing, pattern recognition, metrology, information theory, machine learning, system theory security, autonomous systems and automation.