14 citations · 36 across the 7 of their papers we have counts for
12 papers
Neural Network Pruning Through Constrained Reinforcement Learning
Shehryar Malik, Muhammad Umair Haider, Omer Iqbal +1
Network pruning reduces the size of neural networks by removing (pruning) neurons such that the performance drop is minimal. Traditional pruning approaches focus on designing metri…
Survey of Image Based Graph Neural Networks
Usman Nazir, He Wang, Murtaza Taj
In this survey paper, we analyze image based graph neural networks and propose a three-step classification approach. We first convert the image into superpixels using the Quickshif…
Spatio-temporal Crop Classification On Volumetric Data
Muhammad Usman Qadeer, Salar Saeed, Murtaza Taj +1
Large-area crop classification using multi-spectral imagery is a widely studied problem for several decades and is generally addressed using classical Random Forest classifier. Rec…
Comprehensive Online Network Pruning via Learnable Scaling Factors
Muhammad Umair Haider, Murtaza Taj
One of the major challenges in deploying deep neural network architectures is their size which has an adverse effect on their inference time and memory requirements. Deep CNNs can…
Attention Neural Network for Trash Detection on Water Channels
Mohbat Tharani, Abdul Wahab Amin, Mohammad Maaz +1
Rivers and canals flowing through cities are often used illegally for dumping the trash. This contaminates freshwater channels as well as causes blockage in sewerage resulting in u…
Cross-View Image Retrieval -- Ground to Aerial Image Retrieval through Deep Learning
Numan Khurshid, Talha Hanif, Mohbat Tharani +1
Cross-modal retrieval aims to measure the content similarity between different types of data. The idea has been previously applied to visual, text, and speech data. In this paper,…