About

Dr. MUHAMMAD UMAR FAROOQ is working as Defence Faculty in the Pakistan Navy Engineering College . Dr. MUHAMMAD UMAR FAROOQ has a PhD in their field . Dr. MUHAMMAD UMAR FAROOQ has published 4 research articles & conference papers having a citation count of 32 , carried out 0 projects and filed 0 intellectual property.

Research Tags

Research Projects

0

Industry Projects

0

Amount Granted

0.0 M

Publications

4

Citations

32

Intellectual Property

0
Publication Types
Project Types
Publications by Year
Projects by Year

Education

MS Computer Vision and Artificial Intelligence 2017- 2019
Karachi Institute Of Economics And Technology , Pakistan
BE Computer Vision and Artificial Intelligence 2012- 2016
Karachi Institute Of Economics And Technology , Pakistan

Experience

Defence Faculty 2019- Present
Pakistan Navy Engineering College , NUST
Research Officer 2018- 2019
RDW NRDI , PNS JAUHAR KARSAZ KARACHI ,

Awards

Memberships

No project records found for this faculty member
2
Research Articles
2
Conference Proceedings
0
Books
0
Book Chapters
0
Editorial Activities
Efficient Video-based Vehicle Queue Length Estimation using Computer Vision and Deep Learning for an Urban Traffic Scenario 2021
MU
Muhammad Umair Arif
QI
Qian Chen (University of Toronto)
BA
Baher Abdulhai (University of Toronto)
Journal: Processes, Volume 9(10), Article Number 1786
Impact Factor: 2.847 Citations: 20 Quartile: 3
SDG 9
A Comprehensive Review of Vehicle Detection Techniques under Varying Moving Cast Shadow Conditions using Computer Vision and Deep Learning 2022
MU
Muhammad Umair Arif
ZA
Zain Lodhi (Harbin Institute of Technology)
MU
Muhammad Abdur Rehman Hashmi (University College London)
Journal: IEEE Access, Volume 10, Pages 104863-104886
Impact Factor: 3.476 Citations: 12 Quartile: 2
SDG 9 SDG 11
Improved Vehicle Logo Detection and Recognition for Complex Traffic Environments Using Deep Learning Based Unwarping of Extracted Logo Regions in Varying Angles
Conference: Digital Interaction and Machine Intelligence
Citations: N/A
Performance Comparison of Deep Residual Networks-Based Super Resolution Algorithms Using Thermal Images: Case Study of Crowd Counting
Conference: 9th Machine Intelligence and Digital Interaction Conference
Citations: N/A
No IP records found for this faculty member
No training records found for this faculty member
0
Total Supervisions
0
PhD Supervisions
0
MS Supervisions
Loading...

Loading PhD supervisions...

Loading...

Loading MS supervisions...