Inam Ullah Taj
Inam Ullah Taj is a MS Thesis student in Computer Vision & Graphics Lab (cvglab) at LUMS Syed Babar Ali School of Science and Engineering.
Inam Ullah Taj is a MS Thesis student in Computer Vision & Graphics Lab (cvglab) at LUMS Syed Babar Ali School of Science and Engineering.
Ali Rehan was an MS student, doing his MS thesis with Computer Vision Lab from Jan 2011 – May 2012. He worked o n the Non-rigid Structure from Motion using Local Rigidity. His research was published at IEEE Winter Conference on Applications of Computer Vision (WACV) 2014. Please go to the project page for more…
M Fakhir Khan was a Research Assistant in Computer Vision Lab (cvlab) at LUMS Syed Babar Ali School of Science and Engineering. Research Interest M. Fakhir Khan received the B.S. degree in Mechatronics and Control Engineering from the University of Engineering and Technology, Lahore, Pakistan, in 2015, and the M.S. degree in Electrical Engineering from…
Waseem Abbas was a Research Assistant in Computer Vision Lab (cvlab) at LUMS Syed Babar Ali School of Science and Engineering. Research Interest Waseem received BSc degree from the Islamia University of Bahawalpur, Pakistan. He received the M.S. degree in Electrical Engineering from the Lahore University of Management Sciences with a focus on machine learning…
Talha Hanif Butt is a MS Thesis student in Computer Vision & Graphics Lab (cvglab) at LUMS Syed Babar Ali School of Science and Engineering.
Atiq is a Lead Graphics Engineer in Computer Vision & Graphics Lab (cvglab) at LUMS Syed Babar Ali School of Science and Engineering. His area of expertise are designing and modeling, virtual tours and Laser Scanning See Also: http://heritage360.pk
Research Associate | Full Stack Developer | Web Scraping and Automation Expert | Certified DL & ML Specialist Muhammad Muqsit Islam is a full-stack developer proficient in Web Development, Computer Vision, and Deep Learning. They are skilled in Django, Django Rest Framework, React, Flask, TensorFlow, Docker and other technologies, effectively bridging the gap between frontend…