Search Results for author: Hunter Blanton

Found 10 papers, 1 papers with code

Revisiting Near/Remote Sensing with Geospatial Attention

no code implementations CVPR 2022 Scott Workman, M. Usman Rafique, Hunter Blanton, Nathan Jacobs

We introduce a novel architecture for near/remote sensing that is based on geospatial attention and demonstrate its use for five segmentation tasks.

Image Segmentation Semantic Segmentation

Augmenting Depth Estimation with Geospatial Context

no code implementations ICCV 2021 Scott Workman, Hunter Blanton

We propose an end-to-end architecture for depth estimation that uses geospatial context to infer a synthetic ground-level depth map from a co-located overhead image, then fuses it inside of an encoder/decoder style segmentation network.

Depth Estimation

A Structure-Aware Method for Direct Pose Estimation

no code implementations22 Dec 2020 Hunter Blanton, Scott Workman, Nathan Jacobs

Direct methods, such as PoseNet, regress pose from the image as a fixed function, for example using a feed-forward convolutional network.

Image Retrieval Pose Estimation +2

Single Image Cloud Detection via Multi-Image Fusion

no code implementations29 Jul 2020 Scott Workman, M. Usman Rafique, Hunter Blanton, Connor Greenwell, Nathan Jacobs

A primary challenge in developing algorithms for identifying such artifacts is the cost of collecting annotated training data.

Cloud Detection object-detection +2

2D Convolutional Neural Networks for 3D Digital Breast Tomosynthesis Classification

no code implementations27 Feb 2020 Yu Zhang, Xiaoqin Wang, Hunter Blanton, Gongbo Liang, Xin Xing, Nathan Jacobs

Automated methods for breast cancer detection have focused on 2D mammography and have largely ignored 3D digital breast tomosynthesis (DBT), which is frequently used in clinical practice.

Breast Cancer Detection Classification +1

Learning to Map Nearly Anything

no code implementations16 Sep 2019 Tawfiq Salem, Connor Greenwell, Hunter Blanton, Nathan Jacobs

Looking at the world from above, it is possible to estimate many properties of a given location, including the type of land cover and the expected land use.

Remote Estimation of Free-Flow Speeds

no code implementations24 Jun 2019 Weilian Song, Tawfiq Salem, Hunter Blanton, Nathan Jacobs

We propose an automated method to estimate a road segment's free-flow speed from overhead imagery and road metadata.

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