Следене
Muhammad Zeshan Afzal
Muhammad Zeshan Afzal
Insiders Technologies GmbH Germany
Потвърден имейл адрес: insiders-technologies.de
Заглавие
Позовавания
Позовавания
Година
Dexpression: Deep convolutional neural network for expression recognition
P Burkert, F Trier, MZ Afzal, A Dengel, M Liwicki
arXiv preprint arXiv:1509.05371, 2015
1722015
Tac-gan-text conditioned auxiliary classifier generative adversarial network
A Dash, JCB Gamboa, S Ahmed, M Liwicki, MZ Afzal
arXiv preprint arXiv:1703.06412, 2017
1412017
Deepdocclassifier: Document classification with deep convolutional neural network
MZ Afzal, S Capobianco, MI Malik, S Marinai, TM Breuel, A Dengel, ...
2015 13th international conference on document analysis and recognition …, 2015
1092015
Cutting the error by half: Investigation of very deep cnn and advanced training strategies for document image classification
MZ Afzal, A Kölsch, S Ahmed, M Liwicki
2017 14th IAPR International Conference on Document Analysis and Recognition …, 2017
782017
Real-time document image classification using deep CNN and extreme learning machines
A Kölsch, MZ Afzal, M Ebbecke, M Liwicki
2017 14th IAPR international conference on document analysis and recognition …, 2017
762017
Evaluation of cursive and non-cursive scripts using recurrent neural networks
SB Ahmed, S Naz, MI Razzak, SF Rashid, MZ Afzal, TM Breuel
Neural Computing and Applications 27, 603-613, 2016
692016
Insights on the use of convolutional neural networks for document image binarization
J Pastor-Pellicer, S España-Boquera, F Zamora-Martínez, MZ Afzal, ...
Advances in Computational Intelligence: 13th International Work-Conference …, 2015
532015
Document image binarization using lstm: A sequence learning approach
MZ Afzal, J Pastor-Pellicer, F Shafait, TM Breuel, A Dengel, M Liwicki
Proceedings of the 3rd international workshop on historical document imaging …, 2015
452015
Complete system for text line extraction using convolutional neural networks and watershed transform
J Pastor-Pellicer, MZ Afzal, M Liwicki, MJ Castro-Bleda
2016 12th IAPR Workshop on Document Analysis Systems (DAS), 30-35, 2016
422016
A sequence learning approach for multiple script identification
A Ul-Hasan, MZ Afzal, F Shafait, M Liwicki, TM Breuel
2015 13th International Conference on Document Analysis and Recognition …, 2015
332015
Scale and rotation invariant OCR for Pashto cursive script using MDLSTM network
R Ahmad, MZ Afzal, SF Rashid, M Liwicki, T Breuel
2015 13th International Conference on Document Analysis and Recognition …, 2015
292015
Airscript-creating documents in air
A Dash, A Sahu, R Shringi, J Gamboa, MZ Afzal, MI Malik, A Dengel, ...
2017 14th IAPR international conference on document analysis and recognition …, 2017
272017
Current status and performance analysis of table recognition in document images with deep neural networks
KA Hashmi, M Liwicki, D Stricker, MA Afzal, MA Afzal, MZ Afzal
IEEE Access 9, 87663-87685, 2021
262021
Kpti: Katib's pashto text imagebase and deep learning benchmark
R Ahmad, MZ Afzal, SF Rashid, M Liwicki, T Breuel, A Dengel
2016 15th International Conference on Frontiers in Handwriting Recognition …, 2016
262016
Survey and performance analysis of deep learning based object detection in challenging environments
M Ahmed, KA Hashmi, A Pagani, M Liwicki, D Stricker, MZ Afzal
Sensors 21 (15), 5116, 2021
222021
Robust optical recognition of cursive Pashto script using scale, rotation and location invariant approach
R Ahmad, S Naz, MZ Afzal, SH Amin, T Breuel
PloS one 10 (9), e0133648, 2015
212015
Robust binarization of stereo and monocular document images using percentile filter
MZ Afzal, M Krämer, SS Bukhari, MR Yousefi, F Shafait, TM Breuel
Camera-Based Document Analysis and Recognition: 5th International Workshop …, 2014
212014
A survey of graphical page object detection with deep neural networks
J Bhatt, KA Hashmi, MZ Afzal, D Stricker
Applied Sciences 11 (12), 5344, 2021
202021
A deep learning based arabic script recognition system: benchmark on KHAT.
R Ahmad, S Naz, MZ Afzal, SF Rashid, M Liwicki, A Dengel
Int. Arab J. Inf. Technol. 17 (3), 299-305, 2020
192020
Recognizing challenging handwritten annotations with fully convolutional networks
A Kölsch, A Mishra, S Varshneya, MZ Afzal, M Liwicki
2018 16th International Conference on Frontiers in Handwriting Recognition …, 2018
182018
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