( en | de | ru )

 

Disambiguation of "Souibgui, Mohamed Ali"

Author of the publication

copydeleteadd this publication to your clipboard
Segmentation-Free Alignment of Arbitrary Symbol Transcripts to Images.

, , , , and . ICDAR Workshops (1), volume 14193 of Lecture Notes in Computer Science, page 83-93. Springer, (2023)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Mohamed Ali Mohamed

Mohamed Shehata Ali Mohamed

Mohamed Ali Mohamed Fatimi

Mohamed Ali Mohamed Saad Eldin Ali

Mohamed Ali Nassar

 

Other publications of authors with the same name

Enhance to Read Better: An Improved Generative Adversarial Network for Handwritten Document Image Enhancement., , , and . CoRR, (2021)Few Shots Is All You Need: A Progressive Few Shot Learning Approach for Low Resource Handwriting Recognition., , , and . CoRR, (2021)Segmentation-Free Alignment of Arbitrary Symbol Transcripts to Images., , , , and . ICDAR Workshops (1), volume 14193 of Lecture Notes in Computer Science, page 83-93. Springer, (2023)A Conditional GAN Based Approach for Distorted Camera Captured Documents Recovery., , and . MedPRAI, volume 1322 of Communications in Computer and Information Science, page 215-228. Springer, (2020)Lost in Transcription of Graphic Signs in Ciphers., , , , and . HistoCrypt, volume 188 of Linköping Electronic Conference Proceedings, page 153-158. Linköping University Electronic Press, (2022)A Few Shot Multi-representation Approach for N-Gram Spotting in Historical Manuscripts., , , , , , and . ICFHR, volume 13639 of Lecture Notes in Computer Science, page 3-17. Springer, (2022)A Transcription Is All You Need: Learning to Align Through Attention., , , and . ICDAR Workshops (1), volume 12916 of Lecture Notes in Computer Science, page 141-146. Springer, (2021)An Evaluation of Handwritten Text Recognition Methods for Historical Ciphered Manuscripts., , , and . HIP@ICDAR, page 7-12. ACM, (2023)A Few-shot Learning Approach for Historical Ciphered Manuscript Recognition., , , and . ICPR, page 5413-5420. IEEE, (2020)ST-KeyS: Self-Supervised Transformer for Keyword Spotting in Historical Handwritten Documents., , , , and . CoRR, (2023)