Stephan Krauß
E-Mail: | stephan.krauss@dfki.de |
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Position: | Researcher |
Phone: | +49 631 20575-3730 |
Stephan Krauß studied computer science at the Technical University Dresden. He graduated with a diploma thesis, which is concerned with using machine learning to improve fault tolerance in applications requiring high availability.
AR Assistant for Pruning of Grapevines and Fruit Trees
In: Kaj Helin; Despina Michael-Grigoriou; Tina Katika; Barbara Schiavi; Electra Tsaknaki (Hrsg.). EuroXR 2024: Proceedings of the 21st EuroXR International Conference. EuroXR International Conference (EuroXR-2024), located at The 21st EuroXR International Conference, November 27-29, Athens, Greece, Pages 61-66, VTT Technology 432, Vol. Application Track, No. 10, ISBN 9789513887964, VTT Technical Research Centre of Finland, Finland, 11/2024.
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Vid2Cuts: A Framework for Enabling AI-Guided Grapevine Pruning
In: IEEE Access (IEEE), Vol. 12, Pages 5814-5836, IEEE, 1/2024.
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Driving Activity Recognition Using UWB Radar and Deep Neural Networks
In: Sensors - Open Access Journal (Sensors), Vol. 23, No. 2, Pages 1-15, MDPI, 1/2023.
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Deep Orientation-Guided Gender Recognition from Face Images
International Conference on Pattern Recognition Systems. International Conference on Pattern Recognition Systems (ICPRS-2022) June 7-10 Saint-Étienne France IEEE 2022 .
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SALT: A Semi-automatic Labeling Tool for RGB-D Video Sequences
Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP-2021). International Conference on Computer Vision Theory and Applications (VISAPP-2021) 16th International Conference on Computer Vision Theory and Applications February 8-10 Online (due to COVID-19) ISBN TBA SCITEPRESS 2021 .
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Automatic Museum Audio Guide
Sensors - Open Access Journal (sensors) 20 779 Seiten 1-25 MDPI 2020 .
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ScaleNet: Scale Invariant Network for Semantic Segmentation in Urban Driving Scenes
International Conference on Computer Vision Theory and Applications (VISAPP-18), 13th, January 27-29, Funchal, Madeira, Portugal
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Eyes of Things
In: Sensors - Open Access Journal (Sensors), Vol. 17, No. 5, Pages 1173-1201, MDPI, 5/2017.
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Eyes of Things
Proceedings of the IEEE International Conference on Cloud Engineering IEEE International Conference on Cloud Engineering (IC2E-2017)
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A Comparison Between Background Subtraction Algorithms using Depth Images with a Consumer Camera
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