34 citations · 79 across the 5 of their papers we have counts for
6 papers
Handling Image and Label Resolution Mismatch in Remote Sensing
Scott Workman, Armin Hadzic, M. Usman Rafique
Though semantic segmentation has been heavily explored in vision literature, unique challenges remain in the remote sensing domain. One such challenge is how to handle resolution m…
Revisiting Near/Remote Sensing with Geospatial Attention
Scott Workman, M. Usman Rafique, Hunter Blanton +1
This work addresses the task of overhead image segmentation when auxiliary ground-level images are available. Recent work has shown that performing joint inference over these two m…
Dynamic Image for 3D MRI Image Alzheimer's Disease Classification
Xin Xing, Gongbo Liang, Hunter Blanton +4
We propose to apply a 2D CNN architecture to 3D MRI image Alzheimer's disease classification. Training a 3D convolutional neural network (CNN) is time-consuming and computationally…
Mobile Robot Path Planning in Static Environments using Particle Swarm Optimization
M. Shahab Alam, M. Usman Rafique, M. Umer Khan
Motion planning is a key element of robotics since it empowers a robot to navigate autonomously. Particle Swarm Optimization is a simple, yet a very powerful optimization technique…
Single Image Cloud Detection via Multi-Image Fusion
Scott Workman, M. Usman Rafique, Hunter Blanton +2
Artifacts in imagery captured by remote sensing, such as clouds, snow, and shadows, present challenges for various tasks, including semantic segmentation and object detection. A pr…
A Weakly Supervised Approach for Estimating Spatial Density Functions from High-Resolution Satellite Imagery
Nathan Jacobs, Adam Kraft, Muhammad Usman Rafique +1
We propose a neural network component, the regional aggregation layer, that makes it possible to train a pixel-level density estimator using only coarse-grained density aggregates,…