27 citations · 28 across the 5 of their papers we have counts for
5 papers
On the Effectiveness of Heterogeneous Ensemble Methods for Re-identification
Simon Klüttermann, Jérôme Rutinowski, Anh Nguyen +3
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…
Behind the Screen: Investigating ChatGPT's Dark Personality Traits and Conspiracy Beliefs
Erik Weber, Jérôme Rutinowski, Markus Pauly
ChatGPT is notorious for its intransparent behavior. This paper tries to shed light on this, providing an in-depth analysis of the dark personality traits and conspiracy beliefs of…
Object Pose Estimation Annotation Pipeline for Multi-view Monocular Camera Systems in Industrial Settings
Hazem Youssef, Frederik Polachowski, Jérôme Rutinowski +2
Object localization, and more specifically object pose estimation, in large industrial spaces such as warehouses and production facilities, is essential for material flow operation…
The Self-Perception and Political Biases of ChatGPT
Jérôme Rutinowski, Sven Franke, Jan Endendyk +2
This contribution analyzes the self-perception and political biases of OpenAI's Large Language Model ChatGPT. Taking into account the first small-scale reports and studies that hav…
Semi-Automated Computer Vision based Tracking of Multiple Industrial Entities -- A Framework and Dataset Creation Approach
Jérôme Rutinowski, Hazem Youssef, Sven Franke +4
This contribution presents the TOMIE framework (Tracking Of Multiple Industrial Entities), a framework for the continuous tracking of industrial entities (e.g., pallets, crates, ba…