Reem Alaasam

Orcid: 0000-0002-4251-8540

According to our database1, Reem Alaasam authored at least 14 papers between 2017 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

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Bibliography

2023
Scheme for palimpsests reconstruction using synthesized dataset.
Int. J. Document Anal. Recognit., September, 2023

Supervised vs. unsupervised deep learning for medieval Hebrew manuscripts.
Proceedings of the Annual International Conference of the Alliance of Digital Humanities Organizations, 2023

2022
Text Edges Guided Network for Historical Document Super Resolution.
Proceedings of the Frontiers in Handwriting Recognition - 18th International Conference, 2022

HST-GAN: Historical Style Transfer GAN for Generating Historical Text Images.
Proceedings of the Document Analysis Systems - 15th IAPR International Workshop, 2022

2021
Advertisement Extraction Using Deep Learning.
Proceedings of the Document Analysis and Recognition, 2021

2020
Unsupervised deep learning for text line segmentation.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Text Line Extraction Using Fully Convolutional Network and Energy Minimization.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

Unsupervised Deep Learning for Handwritten Page Segmentation.
Proceedings of the 17th International Conference on Frontiers in Handwriting Recognition, 2020

2019
Layout Analysis on Challenging Historical Arabic Manuscripts using Siamese Network.
Proceedings of the 2019 International Conference on Document Analysis and Recognition, 2019

2018
Word Spotting Using Convolutional Siamese Network.
Proceedings of the 13th IAPR International Workshop on Document Analysis Systems, 2018

Synthesizing versus Augmentation for Arabic Word Recognition with Convolutional Neural Networks.
Proceedings of the IEEE 2nd International Workshop on Arabic and Derived Script Analysis and Recognition, 2018

2017
VML-HD: The historical Arabic documents dataset for recognition systems.
Proceedings of the 1st International Workshop on Arabic Script Analysis and Recognition, 2017

Experiment study on utilizing convolutional neural networks to recognize historical Arabic handwritten text.
Proceedings of the 1st International Workshop on Arabic Script Analysis and Recognition, 2017

WAHD: A database for writer identification of Arabic historical documents.
Proceedings of the 1st International Workshop on Arabic Script Analysis and Recognition, 2017


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