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20192022
most citedDynamic Image for 3D MRI Image Alzheimer's Disease Classification

34 citations · 35 across the 5 of their papers we have counts for

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10 papers · 1 filter

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.CV2021

Augmenting Depth Estimation with Geospatial Context

Scott Workman, Hunter Blanton

Modern cameras are equipped with a wide array of sensors that enable recording the geospatial context of an image. Taking advantage of this, we explore depth estimation under the a…

cs.CV2020

A Structure-Aware Method for Direct Pose Estimation

Hunter Blanton, Scott Workman, Nathan Jacobs

Estimating camera pose from a single image is a fundamental problem in computer vision. Existing methods for solving this task fall into two distinct categories, which we refer to…

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.CV2020

RasterNet: Modeling Free-Flow Speed using LiDAR and Overhead Imagery

Armin Hadzic, Hunter Blanton, Weilian Song +3

Roadway free-flow speed captures the typical vehicle speed in low traffic conditions. Modeling free-flow speed is an important problem in transportation engineering with applicatio…