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Muhammad Faisal
Muhammad Faisal
Research Associate, VisPro Lab, Information Technology University Lahore
Verified email at itu.edu.pk
Title
Cited by
Cited by
Year
A framework for offline signature verification system: Best features selection approach
M Sharif, MA Khan, M Faisal, M Yasmin, SL Fernandes
Pattern Recognition Letters, 2018
1792018
EpO-Net: Exploiting Geometric Constraints on Dense Trajectories for Motion Saliency
M Faisal, I Akhter, M Ali, R Hartley
The IEEE Winter Conference on Applications of Computer Vision, 1884-1893, 2020
44*2020
CAxCNN: Towards the Use of Canonic Sign Digit Based Approximation for Hardware-Friendly Convolutional Neural Networks
M Riaz, R Hafiz, SA Khaliq, M Faisal, HT Iqbal, M Ali, M Shafique
IEEE Access 8, 127014-127021, 2020
162020
Deep Learning for Lip Reading using Audio-Visual Information for Urdu Language
M Faisal, S Manzoor
arXiv preprint arXiv:1802.05521, 2018
162018
Twin-Net Descriptor: Twin Negative Mining With Quad Loss for Patch-Based Matching
A Irshad, R Hafiz, M Ali, M Faisal, Y Cho, J Seo
IEEE Access 7, 136062-136072, 2019
42019
Learning to Detect Local Features Using Information Change
Y Cho, M Faisal, U Sadiq, T Arif, R Hafiz, J Seo, M Ali
IEEE Access 9, 43898-43908, 2021
22021
Method of training image deep learning model and device thereof
YJ Cho, JI Seo, R Hafiz, M Ali, M Faisal, A Irshad
US Patent US11720790B2, 2023
2023
Distracted driving detection using a multi-task training process
Ali Hassan, Ijaz Akhter, Muhammad Faisal, Afsheen Rafaqat Ali, and Ahmed Ali ...
US Patent 11,532,169, 2022
2022
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