| Privacy meets explainability: A comprehensive impact benchmark S Saifullah, D Mercier, A Lucieri, A Dengel, S Ahmed arXiv preprint arXiv:2211.04110, 2022 | 9 | 2022 |
| Are Deep Models Robust against Real Distortions? A Case Study on Document Image Classification Saifullah, SA Siddiqui, S Agne, A Dengel, S Ahmed 2022 26th International Conference on Pattern Recognition (ICPR), 1628-1635, 2022 | 5 | 2022 |
| Analyzing the potential of active learning for document image classification S Saifullah, S Agne, A Dengel, S Ahmed International Journal on Document Analysis and Recognition (IJDAR) 26 (3 …, 2023 | 1 | 2023 |
| ColDBin: Cold Diffusion for Document Image Binarization S Saifullah, S Agne, A Dengel, S Ahmed International Conference on Document Analysis and Recognition, 207-226, 2023 | 1 | 2023 |
| Towards Privacy Preserved Document Image Classification-A Comprehensive Benchmark S Saifullah, D Mercier, S Agne, A Dengel, S Ahmed TechRxiv, 2022 | 1 | 2022 |
| DocXClassifier: Towards a Robust and Interpretable Deep Neural Network for Document Image Classification S Saifullah, S Agne, A Dengel, S Ahmed | | 2023 |
| PrIeD-KIE: Towards Privacy Preserved Document Key Information Extraction S Saifullah, S Agne, A Dengel, S Ahmed arXiv preprint arXiv:2310.03777, 2023 | | 2023 |
| The Reality of High Performing Deep Learning Models: A Case Study on Document Image Classification S Saifullah, S Agne, A Dengel, S Ahmed https://doi.org/10.36227/techrxiv.19310537.v2, 2022 | | 2022 |
Andreas DengelProfessor of Computer Science, University of Kaiserslautern & Executive Director, DFKIVerified email at dfki.de
