Institute for Technologies and Management of Digital Transformation

Publikationen des TMDT



2025
Yadav, H., Schaefer, M., Zhao, K., & Meisen, T. (2025, Apr.). LMFormer: Lane based Motion Prediction Transformer.
Saini, L., Meuter, M., Tercan, H., & Meisen, T. (2025, Apr.). AttentiveGRU: Recurrent Spatio-Temporal Modeling for Advanced Radar-Based BEV Object Detection.
Araujo, J. B., Nolte, A., Berg, H., Dittrich, M., Greiff, K., Plociennik, C., Pomp, A., & Viere, T. (2025). "A Typology for Circular Economy Data" , Journal of Circular Economy , 3 (1),
Königsfeld, A., Bergmann, D., Wunn, A., Tybussek, K., Karbasi, M., Heim, M., Tercan, H., & Meisen, T. (2025). "AI-driven Configuration for Filling Systems using Generative Adversarial Networks" , Procedia CIRP , 134 , 921—926.
Waubert-de-Puiseau, C., Wolz, F., Montag, M., Peters, J., Tercan, H., & Meisen, T. (2025). "Applying Decision Transformers to Enhance Neural Local Search on the Job Shop Scheduling Problem" , AI , 6 (3),
Stillger, F., Hasecke, F., Hahn, L., & Meisen, T. (2025). "Beyond Labels: Self-Attention-Driven Semantic Separation Using Principal Component Clustering in Latent Diffusion Models" in Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications , SCITEPRESS - Science and Technology Publications 68—80.

ISBN: 978-989-758-728-3

Kube, D., Hadwiger, S., & Meisen, T. (2025). "Beyond performance: Explaining generalisation failures of Robotic Foundation Models in industrial simulation" , Biomimetic Intelligence and Robotics , 100249.
Brune, M., Puiseau, C. W. d., Tercan, H., & Meisen, T. (2025). "Deep reinforcement learning for assembly robot end effector scheduling" , Procedia CIRP , 134 , 927—932.
Alves Gomes, M., Meisen, P., & Meisen, T. (2025). "Efficient Personalization in E-Commerce: Leveraging Universal Customer Representations with Embeddings" , Journal of Theoretical and Applied Electronic Commerce Research , 20 (1),
Peters, J., Puiseau, C., Tercan, H., Gopikrishnan, A., Carvalho, G. A., Bitter, C., & Meisen, T. (2025). "Emergent language: a survey and taxonomy" , Autonomous Agents and Multi-Agent Systems , 39 (1), 18.
Iravani, E., Hasecke, F., Hahn, L., & Meisen, T. (2025). "Enhancing 3D Human Pose Estimation: A Novel Post-Processing Method" in Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications , SCITEPRESS - Science and Technology Publications 209—220.

ISBN: 978-989-758-728-3

Maack, R., Thun, L., Liang, T., Tercan, H., & Meisen, T. (2025). "PCAD: A Real-World Dataset for 6D Pose Industrial Anomaly Detection" in Proceedings of the Winter Conference on Applications of Computer Vision (WACV) Workshops . 1132—1141.
Deich, J., Loeb, L., Meins-Becker, A., Meisen, T., & Pomp, A. (2025). "Towards Connecting General DPP Ontology Frameworks with Domain-specific Information Sources" in Knowledge Graphs for Sustainability (KG4S), Workshop Proceedings, CEUR\hbox-WS, Vol. 4002 , https://2025.kg4s.org/content/files/2025/06/KG4S_2025_paper_3.pdf 1—12.
Peters, J., Waubert-de-Puiseau, C., Tercan, H., Gopikrishnan, A., Carvalho, G. A. L., Bitter, C., & Meisen, T. A Survey on Emergent Language.
Hubbertz, M., Colling, P., Han, Q., & Meisen, T. Inferring Driving Maps by Deep Learning-based Trail Map Extraction.