Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Sheikh Faisal Rashid"'
Autor:
Shehzad Afzal, Sohaib Ghani, Mohamad Mazen Hittawe, Sheikh Faisal Rashid, Omar M. Knio, Markus Hadwiger, Ibrahim Hoteit
Publikováno v:
ACM Transactions on Interactive Intelligent Systems. 13:1-41
Image and video data analysis has become an increasingly important research area with applications in different domains such as security surveillance, healthcare, augmented and virtual reality, video and image editing, activity analysis and recogniti
Publikováno v:
Proceedings of the 2022 5th International Conference on Artificial Intelligence and Pattern Recognition.
Autor:
Riaz Ahmad, Muhammad Zeshan Afzal, Saeeda Naz, Andreas Dengel, Marcus Liwicki, Sheikh Faisal Rashid
Publikováno v:
The International Arab Journal of Information Technology. 17:299-305
This paper presents a deep learning benchmark on a complex dataset known as KFUPM Handwritten Arabic TexT (KHATT). The KHATT data-set consists of complex patterns of handwritten Arabic text-lines. This paper contributes mainly in three aspects i.e.,
Publikováno v:
2022 2nd International Conference on Artificial Intelligence (ICAI).
Publikováno v:
2022 4th International Conference on Natural Language Processing (ICNLP).
Autor:
Schultze, Frank C, Zully Ritter, Rühlicke, Stefan, Schmucker, Michael, Reiswich, Andreas, Esslinger, Katrin, Pischek-Koch, Kerstin, Wache, Stefanie, Dietrich, Michael, Sheikh Faisal Rashid, Kesztyüs, Tibor, Haag, Martin, Schirrmeister, Wiebke, Krefting, Dagmar, Blaschke, Sabine
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f1d180290433f278beda538f35fd1a6c
Publikováno v:
2021 4th International Conference on Artificial Intelligence and Pattern Recognition.
Graph convolution network with node feature optimization using cross attention for few-shot learning
Publikováno v:
Proceedings of the 2nd ACM International Conference on Multimedia in Asia.
Graph convolution network (GCN) is an important method recently developed for few-shot learning. The adjacency matrix in GCN models is constructed based on graph node features to represent the graph node relationships, according to which, the graph n
Autor:
Yu Hao, Fuping Wang, Sheikh Faisal Rashid, Telecommunications, Xi’an, China, Ying Liu, Yangge Qiao
Publikováno v:
Journal of Image and Graphics. 9
Publikováno v:
ICDAR
Tables are an easy way to represent information in a structural form. Table recognition is important for the extraction of such information from document images. Usually, modern OCR systems provide textual information coming from tables without recog