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Muhammad Muzzamil Luqman; Josep Llados; Jean-Yves Ramel; Thierry Brouard
A Fuzzy-Interval Based Approach For Explicit Graph Embedding, Recognizing Patterns in Signals, Speech, Images and Video
2010
20th International Conference on Pattern Recognition
6388
93–98
Muhammad Muzzamil Luqman; Jean-Yves Ramel; Josep Llados; Thierry Brouard
Subgraph Spotting Through Explicit Graph Embedding: An Application to Content Spotting in Graphic Document Images
2011
11th International Conference on Document Analysis and Recognition
870-874
Muhammad Muzzamil Luqman; Jean-Yves Ramel; Josep Llados; Thierry Brouard
Fuzzy Multilevel Graph Embedding
2013
Pattern Recognition
46
551-565
Muhammad Muzzamil Luqman; Jean-Yves Ramel; Josep Llados
Improving Fuzzy Multilevel Graph Embedding through Feature Selection Technique
2012
Structural, Syntactic, and Statistical Pattern Recognition, Joint IAPR International Workshop
7626
243-253
Muhammad Muzzamil Luqman; Jean-Yves Ramel; Josep Llados
Multilevel Analysis of Attributed Graphs for Explicit Graph Embedding in Vector Spaces
2013
Graph Embedding for Pattern Analysis
1-26
Mohammed Al Rawi; Ernest Valveny; Dimosthenis Karatzas
Can One Deep Learning Model Learn Script-Independent Multilingual Word-Spotting?
2019
15th International Conference on Document Analysis and Recognition
260-267
Mohammed Al Rawi; Ernest Valveny
Compact and Efficient Multitask Learning in Vision, Language and Speech
2019
IEEE International Conference on Computer Vision Workshops
2933-2942
Mohammed Al Rawi; Dimosthenis Karatzas
On the Labeling Correctness in Computer Vision Datasets
2018
Proceedings of the Workshop on Interactive Adaptive Learning, co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases
Mohamed Ali Souibgui; Y.Kessentini; Alicia Fornes
A conditional GAN based approach for distorted camera captured documents recovery
2020
4th Mediterranean Conference on Pattern Recognition and Artificial Intelligence
Mohamed Ali Souibgui; Y.Kessentini
DE-GAN: A Conditional Generative Adversarial Network for Document Enhancement
2022
IEEE Transactions on Pattern Analysis and Machine Intelligence
44
1180-1191
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