Get our free extension to see links to code for papers anywhere online!

 Add to Chrome

 Add to Firefox

CatalyzeX Code Finder - Browser extension linking code for ML papers across the web! | Product Hunt Embed
Weakly-Supervised Feature Learning via Text and Image Matching

Oct 06, 2020
Gongbo Liang, Connor Greenwell, Yu Zhang, Xiaoqin Wang, Ramakanth Kavuluru, Nathan Jacobs


  Access Paper or Ask Questions

Improved Trainable Calibration Method for Neural Networks on Medical Imaging Classification

Sep 09, 2020
Gongbo Liang, Yu Zhang, Xiaoqin Wang, Nathan Jacobs

* Accepted to the 31th British Machine Vision Conference (BMVC 2020) 

  Access Paper or Ask Questions

Single Image Cloud Detection via Multi-Image Fusion

Jul 29, 2020
Scott Workman, M. Usman Rafique, Hunter Blanton, Connor Greenwell, Nathan Jacobs

* IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2020 

  Access Paper or Ask Questions

Estimating Displaced Populations from Overhead

Jun 25, 2020
Armin Hadzic, Gordon Christie, Jeffrey Freeman, Amber Dismer, Stevan Bullard, Ashley Greiner, Nathan Jacobs, Ryan Mukherjee


  Access Paper or Ask Questions

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

Jun 14, 2020
Armin Hadzic, Hunter Blanton, Weilian Song, Mei Chen, Scott Workman, Nathan Jacobs


  Access Paper or Ask Questions

Unsupervised Domain Adaptation for Mammogram Image Classification: A Promising Tool for Model Generalization

Mar 02, 2020
Yu Zhang, Gongbo Liang, Nathan Jacobs, Xiaoqin Wang

* Accepted by C-MIMI 2019 as a scientific abstract 

  Access Paper or Ask Questions

Joint 2D-3D Breast Cancer Classification

Feb 27, 2020
Gongbo Liang, Xiaoqin Wang, Yu Zhang, Xin Xing, Hunter Blanton, Tawfiq Salem, Nathan Jacobs

* Accepted by IEEE International Conference of Bioinformatics and Biomedicine (BIBM), 2019 

  Access Paper or Ask Questions

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

Feb 27, 2020
Yu Zhang, Xiaoqin Wang, Hunter Blanton, Gongbo Liang, Xin Xing, Nathan Jacobs

* Accepted by IEEE International Conference of Bioinformatics and Biomedicine (BIBM), 2019 

  Access Paper or Ask Questions

Defense-PointNet: Protecting PointNet Against Adversarial Attacks

Feb 27, 2020
Yu Zhang, Gongbo Liang, Tawfiq Salem, Nathan Jacobs

* Accepted by IEEE International Conference on Big Data (BigData) Workshop: The Next Frontier of Big Data From LiDAR, 2019 

  Access Paper or Ask Questions

Learning Geo-Temporal Image Features

Sep 16, 2019
Menghua Zhai, Tawfiq Salem, Connor Greenwell, Scott Workman, Robert Pless, Nathan Jacobs

* British Machine Vision Conference (BMVC) 2018 

  Access Paper or Ask Questions

Learning to Map Nearly Anything

Sep 16, 2019
Tawfiq Salem, Connor Greenwell, Hunter Blanton, Nathan Jacobs


  Access Paper or Ask Questions

Remote Estimation of Free-Flow Speeds

Jun 24, 2019
Weilian Song, Tawfiq Salem, Hunter Blanton, Nathan Jacobs

* 4 pages, 4 figures, IGARSS 2019 camera-ready submission 

  Access Paper or Ask Questions

FARSA: Fully Automated Roadway Safety Assessment

Jan 17, 2019
Weilian Song, Scott Workman, Armin Hadzic, Xu Zhang, Eric Green, Mei Chen, Reginald Souleyrette, Nathan Jacobs

* 9 pages, 8 figures, WACV 2018 

  Access Paper or Ask Questions

A Weakly Supervised Approach for Estimating Spatial Density Functions from High-Resolution Satellite Imagery

Oct 22, 2018
Nathan Jacobs, Adam Kraft, Muhammad Usman Rafique, Ranti Dev Sharma

* 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL 18), 2018, Seattle, WA, USA 
* 10 pages, 8 figures. ACM SIGSPATIAL 2018, Seattle, USA 

  Access Paper or Ask Questions

What Goes Where: Predicting Object Distributions from Above

Aug 02, 2018
Connor Greenwell, Scott Workman, Nathan Jacobs

* 4 pages, 5 figures, IGARSS 2018 

  Access Paper or Ask Questions

Learning to Look around Objects for Top-View Representations of Outdoor Scenes

Mar 28, 2018
Samuel Schulter, Menghua Zhai, Nathan Jacobs, Manmohan Chandraker


  Access Paper or Ask Questions

A Unified Model for Near and Remote Sensing

Aug 09, 2017
Scott Workman, Menghua Zhai, David J. Crandall, Nathan Jacobs

* International Conference on Computer Vision (ICCV) 2017 

  Access Paper or Ask Questions

Understanding and Mapping Natural Beauty

Aug 09, 2017
Scott Workman, Richard Souvenir, Nathan Jacobs

* International Conference on Computer Vision (ICCV) 2017 

  Access Paper or Ask Questions

Revisiting IM2GPS in the Deep Learning Era

May 13, 2017
Nam Vo, Nathan Jacobs, James Hays


  Access Paper or Ask Questions

Predicting Ground-Level Scene Layout from Aerial Imagery

Dec 08, 2016
Menghua Zhai, Zachary Bessinger, Scott Workman, Nathan Jacobs

* 13 pages including appendix 

  Access Paper or Ask Questions

Detecting Vanishing Points using Global Image Context in a Non-Manhattan World

Aug 19, 2016
Menghua Zhai, Scott Workman, Nathan Jacobs

* IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2016 

  Access Paper or Ask Questions

Horizon Lines in the Wild

Aug 16, 2016
Scott Workman, Menghua Zhai, Nathan Jacobs

* British Machine Vision Conference (BMVC) 2016 

  Access Paper or Ask Questions

Wide-Area Image Geolocalization with Aerial Reference Imagery

Oct 13, 2015
Scott Workman, Richard Souvenir, Nathan Jacobs

* International Conference on Computer Vision (ICCV) 2015 

  Access Paper or Ask Questions

Shadow Estimation Method for "The Episolar Constraint: Monocular Shape from Shadow Correspondence"

Apr 15, 2013
Austin Abrams, Chris Hawley, Kylia Miskell, Adina Stoica, Nathan Jacobs, Robert Pless


  Access Paper or Ask Questions