Paper accepted at ICASSP 2022
Our paper titled “Camera Calibration through Camera Projection Loss” accepted at ICASSP 2022.
This work was an outcome of MS Thesis by Talha Hanif Butt
More info: Click here
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Open Positions
PhD (Stipend, Fees) 2 x PhD Position in Agriculture Robotics, Machine Learning, Computer Vision 2 x PhD Position in Satellite Imagery, Deep Learning, Image Processing MS (Stipend) 2 x MS Position in Agriculture Robotics, Machine Learning, Computer Vision 2 x MS Position in Satellite Imagery, Deep Learning, Image Processing How To Apply: Email: murtaza.taj@lums.edu.pk Apply Online: https://admissions.lums.edu.pk/
5xMS Thesis Proposal Defence
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…
Paper accepted at IEEE Transactions on Geoscience and Remote Sensing
Our paper titled “Stereollax Net: Stereo Parallax Based Deep Learning Network For Building Height Estimation” accepted at IEEE Transactions on Geoscience and Remote Sensing. This work was an outcome of PhD Thesis work by Sana Jabbar More info: Click here
Paper accepted at ICONIP 2023
Our paper titled “Stereoential Net: Deep Network for Learning Building Height Using Stereo Imagery” accepted at ICONIP 2023. This work was an outcome of PhD Thesis by Sana Jabbar More info: Click here
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
3xPapers accepted at ICONIP 2019
Three papers have been accepted at “International Conference on Neural Information Processing – 19 (ICONIP-19)”. This conference is ranked A by the CORE rating measure and is going to be held from 12th to 15th December 2019 in Sydney, Australia. “Cross-view Image Retrieval – Ground to Aerial Image Retrieval through Deep Learning” “Patch-based Generative Adversarial Network…