no code implementations • 19 Mar 2024 • Simon Klüttermann, Jérôme Rutinowski, Anh Nguyen, Britta Grimme, Moritz Roidl, Emmanuel Müller
In this contribution, we introduce a novel ensemble method for the re-identification of industrial entities, using images of chipwood pallets and galvanized metal plates as dataset examples.
no code implementations • 6 Feb 2024 • Erik Weber, Jérôme Rutinowski, Markus Pauly
This paper tries to shed light on this, providing an in-depth analysis of the dark personality traits and conspiracy beliefs of GPT-3. 5 and GPT-4.
no code implementations • 23 Oct 2023 • Hazem Youssef, Frederik Polachowski, Jérôme Rutinowski, Moritz Roidl, Christopher Reining
A more practical approach is to utilize existing cameras in such spaces in order to address the underlying pose estimation problem and to localize objects of interest.
no code implementations • 14 Apr 2023 • Jérôme Rutinowski, Sven Franke, Jan Endendyk, Ina Dormuth, Markus Pauly
In addition, ChatGPT's Big Five personality traits were tested using the OCEAN test and its personality type was queried using the Myers-Briggs Type Indicator (MBTI) test.
no code implementations • 3 Apr 2023 • Jérôme Rutinowski, Hazem Youssef, Sven Franke, Irfan Fachrudin Priyanta, Frederik Polachowski, Moritz Roidl, Christopher Reining
This contribution presents the TOMIE framework (Tracking Of Multiple Industrial Entities), a framework for the continuous tracking of industrial entities (e. g., pallets, crates, barrels) over a network of, in this example, six RGB cameras.
1 code implementation • 20 Dec 2022 • Jérôme Rutinowski, Bhargav Vankayalapati, Nils Schwenzfeier, Maribel Acosta, Christopher Reining
The quality of the generated images was gauged using a perspective classifier that was trained on the original images and then applied to the synthetic ones, comparing the accuracy between the two sets of images.