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20182022
most citedDynamic Image for 3D MRI Image Alzheimer's Disease Classification

34 citations · 63 across the 4 of their papers we have counts for

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5 papers · 1 filter

cs.CV2022

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…

cs.CV20221 cited

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…

cs.CV202034 cited

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…

cs.CV2020

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…

cs.CV2018

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,…