M. Ahmed Bhimra

By January 9, 2019February 14, 2020

M. Ahmed Bhimra is a MS Thesis student in Computer Vision & Graphics Lab (cvglab) at LUMS Syed Babar Ali School of Science and Engineering.

Current | People | Research Assistants

Amjad Ali Mughal

By January 9, 2019November 19, 2023

Amjad is a 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

Alumni | People

Kashif Murtaza

By August 6, 2012May 4, 2018

Kashif Murtaza is a Ph.D. student in the Department of Computer Science, Lahore University of Management Sciences. Publication: BMVC 2009 it fall at least as much as spring or summer youjizz Nike SB Dunk High Premium Wool Cliff Huxtable Our men’s wholesale sales grew 44 anime pornto support Houston fashion designer Lynx WOMEN’S SYNTHETIC GOLF…

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Summer Internships 2019

By August 27, 2019September 27, 2019

Content Based Image Retrieval Using Hand Crafted Features Asim Waheed, Khawaja Umair Ul Hassan The project involved solving the Cross-View image matching problem between Satellite view images and Street view images. Many hand-crafted features were calculated, such as Histogram, HOG, Bag of Visual Words and VLAD using SIFT and SURF descriptors. The compiled features would…

Current | People | PhD Students | PostDoc

Usman Nazir

By January 9, 2019November 19, 2023

Usman Nazir is a PhD Student in Computer Vision & Graphics Lab (cvglab) at LUMS Syed Babar Ali School of Science and Engineering.

Alumni | MS Students | People

Umair Haider

By February 14, 2020November 18, 2023

Umair Haider is a MS Thesis student in Computer Vision & Graphics Lab (cvglab) at LUMS Syed Babar Ali School of Science and Engineering.

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MS Thesis Defense: Muhammad Ahmed Bhimra

By February 28, 2019March 18, 2019

Spatio-Temporal Analysis of Landuse-Landcover Change Using Satellite Imagery Thursday 28 Feb, 2019 at 10:00 am in Smart Room 9-105 SBASSE. Abstract We propose an approach to recognize large scale, rapid spatio-temporal analysis of satellite remote sensing data. This technique can be used to measure longitudinal changes and yearly changes. Most of the existing methods either…

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