2 citations · 2 across the 3 of their papers we have counts for
3 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…