Mohammad Minouei
| E-Mail: | Mohammad.Minouei@dfki.uni-kl.de |
|---|---|
| Position: | Researcher |
| Phone: | +49 631 20575 3490 |
Mohammad Minouei received his bachelor’s degree in computer science, and continued his education by obtaining a Master of Science degree in Artificial Intelligence. He is currently pursuing a PhD degree with the DFKI GmbH and the Technical University of Kaiserslautern, under the supervision of Dr Didier Stricker.
His research interests include deep learning for document layout understanding and OCR. He is also interested in the area of continual learning.
Embedding Layout in Text for Document Understanding Using Large Language Models
International Conference on Document Analysis and Recognition (ICDAR-2024), Springer, Cham, 2024.
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Continual Learning for Table Detection in Document Images
Jan Egger (Hrsg.). Applied Sciences (MDPI) 12 18 Seiten 01-16 MDPI Switzerland 9/2022 .
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Document Layout Analysis with an Enhanced Object Detector
In: 2021 5th International Conference on Pattern Recognition and Image Analysis (IPRIA). International Conference on Pattern Recognition and Image Analysis (IPRIA-2021), April 28-29, Kashan, Iran, Islamic Republic of, IEEE, 2021.
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Efficient Table Lines Segmentation with Asymmetric Convolutions
In: Wolfgang Osten; Dmitry Nikolaev; Jianhong Zhou (Hrsg.). Proceedings Volume 12084, Fourteenth International Conference on Machine Vision (ICMV 2021). International Conference on Machine Vision (ICMV-2021), November 8-12, Rome, Italy, Pages 1-7, Vol. 12084, SPIE, 3/2022.
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