2 citations · 2 across the 4 of their papers we have counts for
4 papers
TFNet: Tuning Fork Network with Neighborhood Pixel Aggregation for Improved Building Footprint Extraction
Muhammad Ahmad Waseem, Muhammad Tahir, Zubair Khalid +1
This paper considers the problem of extracting building footprints from satellite imagery -- a task that is critical for many urban planning and decision-making applications. While…
Unsupervised Landmark Discovery Using Consistency Guided Bottleneck
Mamona Awan, Muhammad Haris Khan, Sanoojan Baliah +4
We study a challenging problem of unsupervised discovery of object landmarks. Many recent methods rely on bottlenecks to generate 2D Gaussian heatmaps however, these are limited in…
PD-SEG: Population Disaggregation Using Deep Segmentation Networks For Improved Built Settlement Mask
Muhammad Abdul Rahman, Muhammad Ahmad Waseem, Zubair Khalid +2
Any policy-level decision-making procedure and academic research involving the optimum use of resources for development and planning initiatives depends on accurate population dens…
Improved flood mapping for efficient policy design by fusion of Sentinel-1, Sentinel-2, and Landsat-9 imagery to identify population and infrastructure exposed to floods
Usman Nazir, Muhammad Ahmad Waseem, Falak Sher Khan +4
A reliable yet inexpensive tool for the estimation of flood water spread is conducive for efficient disaster management. The application of optical and SAR imagery in tandem provid…