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ORCIDJérôme Rutinowski
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2020 – today
- 2024
[j2]Jérôme Rutinowski
, Hazem Youssef, Sven Franke, Irfan Fachrudin Priyanta, Frederik Polachowski, Moritz Roidl, Christopher Reining:
Semi-automated computer vision-based tracking of multiple industrial entities: a framework and dataset creation approach. EURASIP J. Image Video Process. 2024(1): 8 (2024)- [c9]Jérôme Rutinowski, Niklas Schrötler, Simon Klüttermann, Moritz Roidl, Christian Janiesch:
A Laser-based Volumetric Measurement Approach for Industrial Settings. CASE 2024: 3595-3601 - [c8]Tim Chilla, Tom Stein, Christian Pionzewski, Oliver Urbann, Jérôme Rutinowski, Alice Kirchheim:
Synth- Yard-MCMOT - Synthetically Generated Multi-Camera Multi-Object Tracking Dataset In Yard Logistics. ETFA 2024: 1-4 - [c7]Simon Klüttermann, Jérôme Rutinowski, Emmanuel Müller:
The Phenomenon of Correlated Representations in Contrastive Learning. IJCNN 2024: 1-8 - [c6]Jérôme Rutinowski, Simon Klüttermann, Jan Endendyk, Christopher Reining, Emmanuel Müller:
Benchmarking Trust: A Metric for Trustworthy Machine Learning. xAI (1) 2024: 287-307 - [i6]Erik Weber, Jérôme Rutinowski, Markus Pauly:
Behind the Screen: Investigating ChatGPT's Dark Personality Traits and Conspiracy Beliefs. CoRR abs/2402.04110 (2024) - [i5]Simon Klüttermann, Jérôme Rutinowski, Anh Nguyen, Britta Grimme, Moritz Roidl, Emmanuel Müller:
On the Effectiveness of Heterogeneous Ensemble Methods for Re-identification. CoRR abs/2403.12606 (2024) - 2023
- [j1]Nils Schwenzfeier, Jérôme Rutinowski, Marc Hesenius, Christopher Reining, Maribel Acosta:
Generating embedding spaces for re-identifying pallets from their chipwood patterns. Eng. Appl. Artif. Intell. 126: 106905 (2023) - [c5]Simon Klüttermann, Jérôme Rutinowski, Anh Nguyen, Christopher Reining, Moritz Roidl, Emmanuel Müller:
On Graph Representation based Re-Identification - A Proof of Concept. ICDM (Workshops) 2023: 1097-1104 - [c4]Stephan Matzke, Christian Pionzewski, Jérôme Rutinowski, Firdes Çelik, Markus König:
Re-identification Robustness Over Time - The Case for Synthetic Training Data. ICMLA 2023: 1363-1370 - [i4]Jérôme Rutinowski, Hazem Youssef, Sven Franke, Irfan Fachrudin Priyanta, Frederik Polachowski, Moritz Roidl, Christopher Reining:
Semi-Automated Computer Vision based Tracking of Multiple Industrial Entities - A Framework and Dataset Creation Approach. CoRR abs/2304.00950 (2023) - [i3]Jérôme Rutinowski, Sven Franke, Jan Endendyk, Ina Dormuth, Markus Pauly:
The Self-Perception and Political Biases of ChatGPT. CoRR abs/2304.07333 (2023) - [i2]Hazem Youssef, Frederik Polachowski, Jérôme Rutinowski, Moritz Roidl, Christopher Reining:
Object Pose Estimation Annotation Pipeline for Multi-view Monocular Camera Systems in Industrial Settings. CoRR abs/2310.14914 (2023) - 2022
- [c3]Jérôme Rutinowski, Christian Pionzewski, Tim Chilla, Christopher Reining, Michael ten Hompel:
Deep Learning Based Re-Identification of Wooden Euro-pallets. ICMLA 2022: 113-117 - [c2]Simon Klüttermann, Jérôme Rutinowski, Christopher Reining, Moritz Roidl, Emmanuel Müller:
Towards Graph Representation based Re-Identification of Chipwood Pallet Blocks. ICMLA 2022: 1543-1550 - [i1]Jérôme Rutinowski, Bhargav Vankayalapati, Nils Schwenzfeier, Maribel Acosta, Christopher Reining:
On the Applicability of Synthetic Data for Re-Identification. CoRR abs/2212.10105 (2022) - 2021
- [c1]Jérôme Rutinowski, Christian Pionzewski, Tim Chilla, Christopher Reining, Michael ten Hompel:
Towards Re-Identification for Warehousing Entities - A Work-in-Progress Study. ETFA 2021: 1-4
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