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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.

Pages

Posts

Future Blog Post

less than 1 minute read

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This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.

Blog Post number 4

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 3

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 2

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 1

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

portfolio

publications

publications19

Weakly Supervised Fusion of Multiple Overhead Images

Published in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Fuse multiple images without labels

Recommended citation: Muhammad Usman Rafique, Hunter Blanton, Nathan Jacobs; The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2019, pp. 0-0 http://openaccess.thecvf.com/content_CVPRW_2019/html/EarthVision/Rafique_Weakly_Supervised_Fusion_of_Multiple_Overhead_Images_CVPRW_2019_paper.html

Learning to map nearly anything

Published in IEEE International Geoscience and Remote Sensing Symposium, 2019

We jointly learn a variety of distributions over objects and scene categories from overhead images using paired ground level image.

Recommended citation: MSalem, Tawfiq, et al. "Learning to map nearly anything." IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2019. https://arxiv.org/pdf/1909.06928.pdf

Remote estimation of free-flow speeds

Published in IEEE International Geoscience and Remote Sensing Symposium, 2019

We estimate road free-flow speed directly from imagery.

Recommended citation: Song, Weilian, et al. "Remote estimation of free-flow speeds." IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2019. https://arxiv.org/pdf/1906.10104.pdf

Convolutional Neural Networks for 3D Digital Breast Tomosynthesis Classification

Published in IEEE International Conference on Bioinformatics and Biomedicine, 2019

We use 2D CNNs for breast cancer classification in 3D DBT images.

Recommended citation: Zhang, Yu, et al. "2D Convolutional Neural Networks for 3D Digital Breast Tomosynthesis Classification." 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2019.

Joint 2D-3D Breast Cancer Classification

Published in IEEE International Conference on Bioinformatics and Biomedicine, 2019

We use both 2D and 3D imaging modalities for breast cancer classification.

Recommended citation: Liang, Gongbo, et al. "Joint 2D-3D Breast Cancer Classification." 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2019. https://arxiv.org/pdf/2002.12392.pdf

publications20

Inconsistent Performance of Deep Learning Models on Mammogram Classification

Published in Journal of the American College of Radiology, 2020

We show that various deep learning models exhibit inconsistent performance between data sources.

Recommended citation: Wang, Xiaoqin, et al. "Inconsistent Performance of Deep Learning Models on Mammogram Classification." Journal of the American College of Radiology (2020). http://openaccess.thecvf.com/content_CVPRW_2019/html/EarthVision/Rafique_Weakly_Supervised_Fusion_of_Multiple_Overhead_Images_CVPRW_2019_paper.html

Extending Absolute Pose Regression to Multiple Scenes

Published in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2020

We extend PoseNet for localization in several scenes using a single CNN.

Recommended citation: Blanton, Hunter, et al. "Extending Absolute Pose Regression to Multiple Scenes." Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops. 2020. http://openaccess.thecvf.com/content_CVPRW_2020/papers/w3/Blanton_Extending_Absolute_Pose_Regression_to_Multiple_Scenes_CVPRW_2020_paper.pdf

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

Published in CVPR Workshop: Large Scale Computer Vision for Remote Sensing Imagery (EARTHVISION), 2020

Free-flow speed estimation using combined features from point clouds and overhead imagery.

Recommended citation: Hadzic, Armin, et al. "RasterNet: Modeling Free-Flow Speed Using LiDAR and Overhead Imagery." Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops. 2020. http://openaccess.thecvf.com/content_CVPRW_2020/papers/w11/Hadzic_RasterNet_Modeling_Free-Flow_Speed_Using_LiDAR_and_Overhead_Imagery_CVPRW_2020_paper.pdf

Dynamic Image for 3D MRI image Alzheimer’s Disease classification

Published in ECCV 2020 Workshop on BioImage Computing, 2020

Construct dynamic images from 3D MRIs of the brain to use with 2D CNNs for Alshiemer’s classification.

Recommended citation: Xin Xing, Gongbo Liang, Hunter Blanton, M. Usman Rafique, Chris Wang, Ai-Ling Lin, Nathan Jacobs. "Dynamic Image for 3D MRI image Alzheimer’s Disease classification." ECCV Workshop on BioImage Computing. 2020. https://openreview.net/pdf?id=HdNVXBdk05

Generative Appearance Flow: A Hybrid Approach for Outdoor View Synthesis

Published in British Machine Vision Conference, 2020

We use spatially paired streetview panoramas to train a network single image view synthesis.

Recommended citation: Muhammad Usman Rafique, Hunter Blanton, Noah Snavely, Nathan Jacobs. "Generative Appearance Flow: A Hybrid Approach for Outdoor View Synthesis." British Machine Vision Conference (BMVC). 2020.

Surface Modeling for Airborne Lidar

Published in IEEE International Geoscience and Remote Sensing Symposium, 2020

We use lidar points and scan ray data to learn a lidar surface model that can be used to estimate novel points from single scans.

Recommended citation: Hunter Blanton, Sean Grate, Nathan Jacobs. "Surface Modeling for Airborne Lidar", IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2020.

Single Image Cloud Detection via Multi-Image Fusion

Published in IEEE International Geoscience and Remote Sensing Symposium, 2020

We use a a mutli-image fusion training approach and adapt it to single image cloud detection.

Recommended citation: Scott Workman, M. Usman Rafique, Hunter Blanton, Connor Greenwell, Nathan Jacobs. "Single Image Cloud Detection via Multi-Image Fusion", IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2020.

talks

teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

This is a description of a teaching experience. You can use markdown like any other post.

Teaching experience 2

Workshop, University 1, Department, 2015

This is a description of a teaching experience. You can use markdown like any other post.