Few-Shot Object Detection: A Comprehensive Survey
Kohler, Mona, Eisenbach, Markus, Gross, Horst-Michael
Published in IEEE transaction on neural networks and learning systems (01.09.2024)
Published in IEEE transaction on neural networks and learning systems (01.09.2024)
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Journal Article
OHO: A Multi-Modal, Multi-Purpose Dataset for Human-Robot Object Hand-Over
Stephan, Benedict, Köhler, Mona, Müller, Steffen, Zhang, Yan, Gross, Horst-Michael, Notni, Gunther
Published in Sensors (Basel, Switzerland) (01.09.2023)
Published in Sensors (Basel, Switzerland) (01.09.2023)
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Journal Article
Efficient RGB-D Semantic Segmentation for Indoor Scene Analysis
Seichter, Daniel, Kohler, Mona, Lewandowski, Benjamin, Wengefeld, Tim, Gross, Horst-Michael
Published in 2021 IEEE International Conference on Robotics and Automation (ICRA) (30.05.2021)
Published in 2021 IEEE International Conference on Robotics and Automation (ICRA) (30.05.2021)
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Conference Proceeding
Detection of Novel Objects without Fine-Tuning in Assembly Scenarios by Class-Agnostic Object Detection and Object Re-Identification
Eisenbach, Markus, Franke, Henning, Franze, Erik, Köhler, Mona, Aganian, Dustin, Seichter, Daniel, Horst-Michael Gross
Published in Automation (Basel) (01.09.2024)
Published in Automation (Basel) (01.09.2024)
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Journal Article
How Object Information Improves Skeleton-based Human Action Recognition in Assembly Tasks
Aganian, Dustin, Kohler, Mona, Baake, Sebastian, Eisenbach, Markus, Grob, Horst-Michael
Published in 2023 International Joint Conference on Neural Networks (IJCNN) (18.06.2023)
Published in 2023 International Joint Conference on Neural Networks (IJCNN) (18.06.2023)
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Conference Proceeding
The High Frequency Firm Survey “Bundesbank Online Panel – Firms”
Boddin, Dominik, Köhler, Mona
Published in Jahrbücher für Nationalökonomie und Statistik (25.06.2024)
Published in Jahrbücher für Nationalökonomie und Statistik (25.06.2024)
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Journal Article
Efficient Multi-Task RGB-D Scene Analysis for Indoor Environments
Seichter, Daniel, Fischedick, Söhnke Benedikt, Köhler, Mona, Groß, Horst-Michael
Year of Publication 10.07.2022
Year of Publication 10.07.2022
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Journal Article
Fusing Hand and Body Skeletons for Human Action Recognition in Assembly
Aganian, Dustin, Köhler, Mona, Stephan, Benedict, Eisenbach, Markus, Gross, Horst-Michael
Year of Publication 18.07.2023
Year of Publication 18.07.2023
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Journal Article
How Object Information Improves Skeleton-based Human Action Recognition in Assembly Tasks
Aganian, Dustin, Köhler, Mona, Baake, Sebastian, Eisenbach, Markus, Gross, Horst-Michael
Year of Publication 09.06.2023
Year of Publication 09.06.2023
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Journal Article
Efficient RGB-D Semantic Segmentation for Indoor Scene Analysis
Seichter, Daniel, Köhler, Mona, Lewandowski, Benjamin, Wengefeld, Tim, Gross, Horst-Michael
Year of Publication 13.11.2020
Year of Publication 13.11.2020
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Journal Article
Efficient Multi-Task RGB-D Scene Analysis for Indoor Environments
Seichter, Daniel, Söhnke, Benedikt Fischedick, Köhler, Mona, Horst-Michael Groß
Published in arXiv.org (10.07.2022)
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Published in arXiv.org (10.07.2022)
Paper
A Laser Projection System for Robot Intention Communication and Human Robot Interaction
Wengefeld, Tim, Hochemer, Dominik, Lewandowski, Benjamin, Kohler, Mona, Beer, Manuel, Gross, Horst-Michael
Published in 2020 29th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN) (01.08.2020)
Published in 2020 29th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN) (01.08.2020)
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Conference Proceeding
Efficient RGB-D Semantic Segmentation for Indoor Scene Analysis
Seichter, Daniel, Köhler, Mona, Lewandowski, Benjamin, Wengefeld, Tim, Horst-Michael Gross
Published in arXiv.org (07.04.2021)
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Published in arXiv.org (07.04.2021)
Paper
Efficient Multi-Task RGB-D Scene Analysis for Indoor Environments
Seichter, Daniel, Fischedick, Sohnke Benedikt, Kohler, Mona, Grob, Horst-Michael
Published in 2022 International Joint Conference on Neural Networks (IJCNN) (18.07.2022)
Published in 2022 International Joint Conference on Neural Networks (IJCNN) (18.07.2022)
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Conference Proceeding