Author

Muhammad Faisal

Research Associate, VisPro Lab, Information Technology University Lahore - Cited by 229 - Computer Vision - Pattern Recognition - Deep Learning

Biography

Muhammad Faisal is working as professor in Institute of Business Management (IoBM), Korangi Creek, Karachi-75190, Pakistan. Research experience includes various programs, contributions and participation in different countries for diverse fields of Public Administration , Public Health.
Title
Cited by
Year
A framework for offline signature verification system: Best features selection approach
M Sharif, MA Khan, M Faisal, M Yasmin, SL FernandesPattern Recognition Letters, 2018201
162
2018
EpO-Net: Exploiting Geometric Constraints on Dense Trajectories for Motion Saliency
M Faisal, I Akhter, M Ali, R HartleyThe IEEE Winter Conference on Applications of Computer Vision, 1884-1893, 202034202
34
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 ShafiqueIEEE Access 8, 127014-127021, 2020202
15
2020
Deep Learning for Lip Reading using Audio-Visual Information for Urdu Language
M Faisal, S ManzoorarXiv preprint arXiv:1802.05521, 2018201
14
2018
Twin-Net Descriptor: Twin Negative Mining With Quad Loss for Patch-Based Matching
A Irshad, R Hafiz, M Ali, M Faisal, Y Cho, J SeoIEEE Access 7, 13606-13607, 01901
2
2019
Learning to Detect Local Features Using Information Change
Y Cho, M Faisal, U Sadiq, T Arif, R Hafiz, J Seo, M AliIEEE Access 9, 43898-43908, 20220
1
2021
Method of training image deep learning model and device thereof
YJ Cho, JI Seo, R Hafiz, M Ali, M Faisal, A IrshadUS Patent App. 6/879,885, 2020202
1
2020

Referred From: https://scholar.google.com.pk/citations?user=KhETyZkAAAAJ&hl=en

Cited by
Citations 229
h-index 4
i10-index 4
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