M.Sc. Johannes Bayer
Vita
| seit 2023 | Wissenschaftlicher Mitarbeiter am Lehrstuhl Fachdidaktik in der Technik, RPTU Standort Kaiserslautern (Prof. Dr. Leo van Waveren) |
| seit 2018 | Durchführung der Arbeiten zur Promotion |
| 2020 - 2022 | Wissenschaftlicher Mitarbeiter am Deutschen Forschungszentrum für künstliche Intelligenz (DFKI) Kaiserslautern |
| 2013 - 2017 | Studium an der TU Kaiserslautern: Computer Science (M.Sc.) |
Forschungsprojekte
| Förderzeitraum | Projekt | Projektname |
|---|---|---|
| seit 02/2023 | U.EDU@BBS (BMBF) | TransferLab: Transfer beruflicher Lehr-Lern-Labore auf Aus- und Weiterbildung |
| 2021 | (BMBF) | SensAI: Self-organizing Personal Knowledge Assistants in Evolving Corporate Memories |
| 2016 - 2017 | (DFG) | METIS: Knowledge-based search and query methods for the development of semantic information models for use in early design phases |
Veröffentlichungen
2023
- Bayer, J., Roy, A.K. & Dengel, A. (2023). Instance Segmentation Based Graph Extraction for Handwritten Circuit Diagram Images. arXiv preprint arXiv:2301.03155. DOI: 10.48550/arXiv.2301.03155.
2022
- Bayer, J., Li, Y., Marquardt, S. & Dengel, A. (2022). Geometric and Computational Aspects of Manipulation Rules for Graph-Based Engineering Diagrams. Leipzig Symposium on Visualization in Applications 2022 (LEVIA’22). Leipzig. DOI: 10.36730/2022.1.levia.3.
- Bayer, J., Zadeh, M.K., Schröder, M. & Dengel, A. (2022). Functional Component Descriptions for Electrical Circuits based on Semantic Technology Reasoning. arXiv preprint arXiv:2209.05533. DOI: 10.48550/arXiv.2209.05533.
2021
- Mizanur Rahman, S., Bayer, J. & Dengel, A. (2021). Graph-Based Object Detection Enhancement for Symbolic Engineering Drawings. In: Barney Smith, E.H., Pal, U. (Hrsg.). Document Analysis and Recognition – ICDAR 2021 Workshops. ICDAR 2021. Lecture Notes in Computer Science (12916). Springer, Cham. S. 74–90. DOI: 10.1007/978-3-030-86198-8_6.
- Thoma, F., Bayer, J., Li, Y. & Dengel, A. (2021). A Public Ground-Truth Dataset for Handwritten Circuit Diagram Images. In: Barney Smith, E.H., Pal, U. (Hrsg.). Document Analysis and Recognition – ICDAR 2021 Workshops. ICDAR 2021. Lecture Notes in Computer Science (12916). Springer, Cham. S. 20–27. DOI: 10.1007/978-3-030-86198-8_2.
2020
- Bayer, J. & Sinha, A. (2020). Graph-Based Manipulation Rules for Piping and Instrumentation Diagrams. Leipzig Symposium on Visualization in Applications 2019 (LEVIA’19). Leipzig. DOI: 10.31219/osf.io/dynqj.
2019
- Sinha, A. Bayer, J. & Bukhari, S.S. (2019). Table Localization and Field Value Extraction in Piping and Instrumentation Diagram Images. 2019 International Conference on Document Analysis and Recognition Workshops (ICDARW). Sydney, NSW, Australien. S. 26–31. DOI: 10.1109/ICDARW.2019.00010.
- Bayer, J., Bukhari, S.S. & Dengel, A. (2019). Interactive Design Support for Architecture Projects During Early Phases Based on Recurrent Neural Networks. In: De Marsico, M., di Baja, G., Fred, A. (Hrsg.). Pattern Recognition Applications and Methods. ICPRAM 2018. Lecture Notes in Computer Science (11351). Springer, Cham. S. 27–43. DOI: 10.1007/978-3-030-05499-1_2.
2018
- Sabri, Q.U., Bayer, J., Ayzenshtadt, V., Bukhari, S.S., Althoff, K.-D. & Dengel, A. (2018). Semi-automated Testing of an Architectural Floor Plan Retrieval Framework: Quantitative and Qualitative Comparison of Semantic Pattern-Based Matching Approaches. In: De Marsico, M., di Baja, G., Fred, A. (Hrsg.). Pattern Recognition Applications and Methods. ICPRAM 2017. Lecture Notes in Computer Science (10857). Springer, Cham. S. 169–189. DOI: 10.1007/978-3-319-93647-5_10.
- Bayer, J., Bukhari, S.S. & Dengel, A. (2018). Interactive LSTM-Based Design Support in a Sketching Tool for the Architectural Domain - Floor Plan Generation and Auto Completion based on Recurrent Neural Networks. Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2018). S. 115–123. DOI: 10.5220/0006589101150123.
2017
- Sabri, Q.U., Bayer, J., Ayzenshtadt, V., Bukhari, S.S., Althoff, K.-D. & Dengel, A. (2017). Semantic Pattern-based Retrieval of Architectural Floor Plans with Case-based and Graph-based Searching Techniques and their Evaluation and Visualization. Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2017). S. 50–60. DOI: 10.5220/0006112800500060.
- Bayer, J., Bukhari, S.S., Langenhan, C., Liwicki, M., Althoff, K.-D., Petzold, F. & Dengel, A. (2017). Migrating the Classical Pen-and-Paper Based Conceptual Sketching of Architecture Plans Towards Computer Tools - Prototype Design and Evaluation. In: Lamiroy, B., Dueire Lins, R. (Hrsg.). Graphic Recognition. Current Trends and Challenges. GREC 2015. Lecture Notes in Computer Science (9657). Springer, Cham. S. 47–59. DOI: 10.1007/978-3-319-52159-6_4.
- Bayer, J., Bukhari, S.S. & Dengel, A. (2017). Floor plan generation and auto completion based on recurrent neural networks. 14th IAPR International Conference on Document Analysis and Recognition (ICDAR). Kyoto, Japan. S. 49–50. DOI: 10.1109/ICDAR.2017.272.
2023
- Bayer, J., Roy, A.K. & Dengel, A. (2023). Instance Segmentation Based Graph Extraction for Handwritten Circuit Diagram Images. DOI: 10.5281/zenodo.7652836.
Verschiedene Workshop-Angebote für Schüler:innen
- 19.07.2023, CircuitGraph: Erkennung von elektrischen Schaltplänen durch Maschinelles Lernen. Ein Workshopangebot für Schüler:innen der 7.-12. Klasse des Rittersberg-Gymnasiums KL im Future-Lehr-Lern-Labor der RPTU.
- 24.07. - 28.07.2023, Bilderkennung mittels Maschinellen Lernens in elektrotechnischen Systemen. Ferienkurs für Schüler:innen, RPTU Kaiserslautern-Landau.
- 28.08. - 01.09.2023, Bilderkennung mittels Maschinellen Lernens in elektrotechnischen Systemen. Ferienkurs für Schüler:innen, RPTU Kaiserslautern-Landau.
- 08.09.2023, Elektronik & KI. Ein Workshopangebot für Schüler:innen an der MI(N)Tmachwelt, Gartenschau Kaiserslautern.