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Marian Schlüter

Observed names: M. Schlüter, Marian Schlueter, Marian Schluter, Schlüter, Marian
ORCID: 0000-0002-0119-0235
Observed ORCID: 0000-0002-0119-0235
OpenAlex ID: A5002883463
AI-enhanced Identification, Inspection and Sorting for Reverse Logistics in Remanufacturing
2021 · Marian Schlüter, Hannah Lickert, et al. · Procedia CIRP · 92
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Vision-based Identification Service for Remanufacturing Sorting
2018 · Marian Schlüter, Carsten Niebuhr, et al. · Procedia Manufacturing · 42
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Deep learning for part identification based on inherent features
2019 · Jörg Krüger, Jan Lehr, et al. · CIRP Annals · 36
Classification of Similar Objects of Different Sizes Using a Reference Object by Means of Convolutional Neural Networks
2019 · Jan Lehr, Marian Schluter, et al. · IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) · 21
Green incremental learning - Energy efficient ramp-up for AI-enhanced part recognition in reverse logistics
2023 · Marian Schlüter, Robert Schimanek, et al. · Procedia CIRP · 14
Towards Realistic Evaluation of Industrial Continual Learning Scenarios with an Emphasis on Energy Consumption and Computational Footprint
2023 · Vivek Chavan, Paul Koch, et al. · IEEE/CVF International Conference on Computer Vision (ICCV) · 12
Image-based recognition of surgical instruments by means of convolutional neural networks
2023 · Jan Lehr, Kathrin Kelterborn, et al. · International Journal of Computer Assisted Radiology and Surgery · 8
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Prototype for enhanced product data acquisition based on inherent features in logistics
2016 · Maximilian Fechteler, Marian Schluter, et al. · IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) · 8
Towards Deep Learning in Industrial Applications Taking Advantage of Service-Oriented Architectures
2020 · Clemens Briese, Marian Schlüter, et al. · Procedia Manufacturing · 7
Deep Learning-Based Optical Character Recognition for Identifying On-Label Printed Part Numbers of Used Automotive Parts: A Comparative Study of Open Source and Commercial Methods
2025 · Marian Schlüter, Christian Tepper, et al. · Lecture notes in mechanical engineering · 5
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Active Data Collection and Management for Real-World Continual Learning via Pretrained Oracle
2024 · Vivek Chavan, Paul Koch, et al. · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · 3
With synthetic data towards part recognition generalized beyond the training instances
2024 · Paul Koch, Marian Schlüter, et al. · AIP conference proceedings · 3
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Towards Robot-Assisted Data Generation with Minimal User Interaction for Autonomously Training 6D Pose Estimation in Operational Environments
2023 · Paul Koch, Marian Schlüter, et al. · Procedia CIRP · 3
Decentralised identification of used exchange parts with a mobile application
2020 · Marian Schlüter, Jörg Krüger, et al. · International Journal of Sustainable Manufacturing · 3
MVIP - A Dataset and Methods for Application Oriented Multi-View and Multi-Modal Industrial Part Recognition
2025 · Paul Koch, Marian Schlüter, et al. · Communications in computer and information science · 1
Chances for Decreasing the Carbon Footprint in Hospitals by Means of AI-Based Recognition of Surgical Instruments
2025 · Anna-Maria Paust, Ümit Ejder, et al. · Lecture notes in mechanical engineering
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Investigation on stereo-ToF data fusion for the inspection of used industrial parts
2024 · Oliver Krumpek, Marian Schlüter, et al. · AIP conference proceedings
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Image-Based Incremental Learning for Part Recognition of Used Automotive Cores in Reverse Logistics
2024 · Clemens Briese, Vivek Chavan, et al. · Lecture notes in mechanical engineering
Towards Robot-Assisted Data Generation with Minimal User Interaction for Autonomously Training 6D Pose Estimation in Operational Environments
2023 · Koch, Paul, Schlüter, Marian, et al. · Fraunhofer-Publica (Fraunhofer-Gesellschaft)
2 Bildbasierte Erfassung von Stammdaten ermöglicht Wiedererkennung von Bauteilen mit Neuronalen Netzen in der Logistik
2022 · M. Schlüter, C. Briese, et al. · VDI Verlag eBooks
2 Divide and Conquer-Prinzip für die KI-basierte Wiedererkennung von Altteilen in der Kreislaufwirtschaft
2022 · C. Briese, M. Schlüter, et al. · VDI Verlag eBooks
Reduction of annotation efforts for multiclass object detection by using a domain awareness data combination strategy
2021 · C. Briese, B. Hummel, et al. · IOP Conference Series Materials Science and Engineering
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Generating Annotated Training Data for 6D Object Pose Estimation in Operational Environments with Minimal User Interaction
2021 · Koch, Paul, Schlüter, Marian, et al. · arXiv (Cornell University)
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A New Method to Quantitatively Measure Depth Perception
2010 · Marian Schlueter, Fabián N. Murrieta-Rico · Investigative Ophthalmology & Visual Science
Works count: 35
Citation count: 262
H-index: 8
I10-index: 6
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