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Ahmad Droby
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2020 – today
- 2022
- [j2]Boraq Madi, Ahmad Droby, Jihad El-Sana:
Textline alignment on the image domain. Int. J. Document Anal. Recognit. 25(4): 415-427 (2022) - [j1]Ahmad Droby, Irina Rabaev, Daria Vasyutinsky Shapira, Berat Kurar Barakat, Jihad El-Sana:
Digital Hebrew Paleography: Script Types and Modes. J. Imaging 8(5): 143 (2022) - [c13]Ahmad Droby, Daria Vasyutinsky Shapira, Irina Rabaev, Berat Kurar Barakat, Jihad El-Sana:
Hard and Soft Labeling for Hebrew Paleography: A Case Study. DAS 2022: 492-506 - [c12]Boraq Madi, Reem Alaasam, Ahmad Droby, Jihad El-Sana:
HST-GAN: Historical Style Transfer GAN for Generating Historical Text Images. DAS 2022: 523-537 - 2021
- [c11]Boraq Madi, Reem Alaasam, Ahmad Droby, Jihad El-Sana:
Advertisement Extraction Using Deep Learning. ICDAR Workshops (2) 2021: 81-97 - [c10]Ahmad Droby, Berat Kurar Barakat, Daria Vasyutinsky Shapira, Irina Rabaev, Jihad El-Sana:
VML-HP: Hebrew Paleography Dataset. ICDAR (4) 2021: 205-220 - [c9]Berat Kurar Barakat, Ahmad Droby, Raid Saabni, Jihad El-Sana:
Unsupervised Learning of Text Line Segmentation by Differentiating Coarse Patterns. ICDAR (2) 2021: 523-537 - [i6]Berat Kurar Barakat, Ahmad Droby, Reem Alaasam, Boraq Madi, Irina Rabaev, Jihad El-Sana:
Text line extraction using fully convolutional network and energy minimization. CoRR abs/2101.07370 (2021) - [i5]Ahmad Droby, Berat Kurar Barakat, Boraq Madi, Reem Alaasam, Jihad El-Sana:
Unsupervised Deep Learning for Handwritten Page Segmentation. CoRR abs/2101.07487 (2021) - [i4]Berat Kurar Barakat, Ahmad Droby, Majeed Kassis, Jihad El-Sana:
Text Line Segmentation for Challenging Handwritten Document Images Using Fully Convolutional Network. CoRR abs/2101.08299 (2021) - [i3]Berat Kurar Barakat, Ahmad Droby, Raid Saabni, Jihad El-Sana:
Unsupervised learning of text line segmentation by differentiating coarse patterns. CoRR abs/2105.09405 (2021) - 2020
- [c8]Daria Vasyutinsky Shapira, Irina Rabaev, Berat Kurar Barakat, Ahmad Droby, Jihad El-Sana:
Deep learning for paleographic analysis of medieval Hebrew manuscripts: a DH team collaboration experience. TwinTalks@DH/DHN 2020: 84-92 - [c7]Ahmad Droby, Berat Kurar Barakat, Boraq Madi, Reem Alaasam, Jihad El-Sana:
Unsupervised Deep Learning for Handwritten Page Segmentation. ICFHR 2020: 240-245 - [c6]Berat Kurar Barakat, Ahmad Droby, Reem Alaasam, Boraq Madi, Irina Rabaev, Jihad El-Sana:
Text Line Extraction Using Fully Convolutional Network and Energy Minimization. ICPR Workshops (7) 2020: 126-140 - [c5]Berat Kurar Barakat, Ahmad Droby, Reem Alaasam, Boraq Madi, Irina Rabaev, Raed Shammes, Jihad El-Sana:
Unsupervised deep learning for text line segmentation. ICPR 2020: 2304-2311 - [i2]Berat Kurar Barakat, Ahmad Droby, Rym Alasam, Boraq Madi, Irina Rabaev, Raed Shammes, Jihad El-Sana:
Unsupervised text line segmentation. CoRR abs/2003.08632 (2020) - [i1]Ahmad Droby, Jihad El-Sana:
ContourCNN: convolutional neural network for contour data classification. CoRR abs/2009.09412 (2020)
2010 – 2019
- 2018
- [c4]Ahmad Droby, Berat Kurar Barakat, Jihad El-Sana:
ASAR 2018 Competition Page Layout Analysis Using Fully Convolutional Networks. ASAR 2018: 161-164 - [c3]Berat Kurar Barakat, Ahmad Droby, Majeed Kassis, Jihad El-Sana:
Text Line Segmentation for Challenging Handwritten Document Images using Fully Convolutional Network. ICFHR 2018: 374-379 - 2017
- [c2]Majeed Kassis, Alaa Abdalhaleem, Ahmad Droby, Reem Alaasam, Jihad El-Sana:
VML-HD: The historical Arabic documents dataset for recognition systems. ASAR 2017: 11-14 - [c1]Alaa Abdalhaleem, Ahmed Droby, Abedelkadir Asi, Majeed Kassis, Reem Al Asam, Jihad El-Sana:
WAHD: A database for writer identification of Arabic historical documents. ASAR 2017: 64-68
Coauthor Index
aka: Berat Kurar Barakat
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