Paper accepted at BMVC 2021
Our paper titled “Teacher-Class Network: A Neural Network Compression Mechanism” accepted at BMVC 2021.
This work was an outcome of MS Thesis by Shaiq Munir
More info: Click here
Our paper titled “Teacher-Class Network: A Neural Network Compression Mechanism” accepted at BMVC 2021.
This work was an outcome of MS Thesis by Shaiq Munir
More info: Click here
Group Photo, a project at CV Lab by Aamer Zaheer, Ali Rehan, Abdur Rehman Naeem and Maria Zubair, won the first position at Startup Weekend Lahore. Group Photo android app solved the age-old problem that while taking a photograph of a group of friends, the photographer is missed out in the picture. The app, which…
Tuberculosis Diagnosis in Medical Imagery using Deep Learning by Inam Ullah Taj Estimating labor population in Brick Kilns using Satellite Imagery and Remote Sensing by Muhammad Awais Ather Compressing neural networks via teacher assisted learning by Umair Haider Online structured filter pruning for neural networks by Shaiq Munir Malik Semantic Segmentation of water channel to…
Maheen Rashid, a CV Lab research assistant since 2011, who earlier also did her senior project in our lab, has received a Fulbright scholarship and has joined Robotics Institute at Carnegie Mellon University for her Ph.D. studies. Maheen worked on Single View Reconstruction during her research assistantship here, and has coauthored our ECCV 2012 paper…
Challenging the dogma of Relevance Feedback in Content based Image Retrieval Systems with Deep Learning May, 2018 at 3:00 pm in Smart Room 9-105 SBASSE. Abstract Association of images to their content based similar images in a database, is quite a fascinating challenge specially on social media platform where billions of tagged and untagged images…
Arif Mahmood successfully defended his Ph.D. thesis on May 27, 2011 at LUMS, Lahore. Thesis Abstract: Template matching is frequently used in Digital Image Processing, Machine Vision, Remote Sensing and Pattern Recognition, and a large number of template matching algorithms have been proposed in literature. The performance of these algorithms may be evaluated from the…
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…