Ahmed S. Nassar

According to our database, Ahmed S. Nassar authored at least 8 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

ESG Accountability Made Easy: DocQA at Your Service.

Lokesh Mishra, Cesar Berrospi, Kasper Dinkla, Diego Antognini, Francesco Fusco, Benedikt Bothur, Maksym Lysak, Nikolaos Livathinos, Ahmed S. Nassar, Panagiotis Vagenas, Lucas Morin, Christoph Auer, Michele Dolfi, Peter W. J. Staar

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Optimized Table Tokenization for Table Structure Recognition.

Maksym Lysak, Ahmed S. Nassar, Nikolaos Livathinos, Christoph Auer, Peter W. J. Staar

Proceedings of the Document Analysis and Recognition - ICDAR 2023, 2023

ICDAR 2023 Competition on Robust Layout Segmentation in Corporate Documents.

Christoph Auer, Ahmed S. Nassar, Maksym Lysak, Michele Dolfi, Nikolaos Livathinos, Peter W. J. Staar

Proceedings of the Document Analysis and Recognition - ICDAR 2023, 2023

MolGrapher: Graph-based Visual Recognition of Chemical Structures.

Lucas Morin, Martin Danelljan, Maria Isabel Agea, Ahmed S. Nassar, Valéry Weber, Ingmar Meijer, Peter W. J. Staar, Fisher Yu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

DocLayNet: A Large Human-Annotated Dataset for Document-Layout Analysis.

Birgit Pfitzmann, Christoph Auer, Michele Dolfi, Ahmed S. Nassar, Peter W. J. Staar

CoRR, 2022

DocLayNet: A Large Human-Annotated Dataset for Document-Layout Segmentation.

Birgit Pfitzmann, Christoph Auer, Michele Dolfi, Ahmed S. Nassar, Peter W. J. Staar

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

TableFormer: Table Structure Understanding with Transformers.

Ahmed S. Nassar, Nikolaos Livathinos, Maksym Lysak, Peter W. J. Staar

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Robust PDF Document Conversion using Recurrent Neural Networks.

Nikolaos Livathinos, Cesar Berrospi, Maksym Lysak, Viktor Kuropiatnyk, Ahmed S. Nassar, André Carvalho, Michele Dolfi, Christoph Auer, Kasper Dinkla, Peter W. J. Staar

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021