Connor Greenwell

According to our database, Connor Greenwell authored at least 13 papers between 2014 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Contrastive Cross-Modal Pre-Training: A General Strategy for Small Sample Medical Imaging.

Gongbo Liang, Connor Greenwell, Yu Zhang, Xin Xing, Xiaoqin Wang, Ramakanth Kavuluru, Nathan Jacobs

IEEE J. Biomed. Health Informatics, 2022

2021

Hierarchical Probabilistic Embeddings for Multi-View Image Classification.

Benjamin Brodie, Subash Khanal, Muhammad Usman Rafique, Connor Greenwell, Nathan Jacobs

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2020

Weakly-Supervised Feature Learning via Text and Image Matching.

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

CoRR, 2020

Single Image Cloud Detection via Multi-Image Fusion.

Scott Workman, Muhammad Usman Rafique, Hunter Blanton, Connor Greenwell, Nathan Jacobs

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Extending Absolute Pose Regression to Multiple Scenes.

Hunter Blanton, Connor Greenwell, Scott Workman, Nathan Jacobs

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

2019

Learning to Map Nearly Anything.

Tawfiq Salem, Connor Greenwell, Hunter Blanton, Nathan Jacobs

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Implicit Land Use Mapping Using Social Media Imagery.

Connor Greenwell, Scott Workman, Nathan Jacobs

Proceedings of the 48th IEEE Applied Imagery Pattern Recognition Workshop, 2019

2018

What Goes Where: Predicting Object Distributions from Above.

Connor Greenwell, Scott Workman, Nathan Jacobs

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Learning Geo-Temporal Image Features.

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

Proceedings of the British Machine Vision Conference 2018, 2018

2016

A fast method for estimating transient scene attributes.

Ryan Baltenberger, Menghua Zhai, Connor Greenwell, Scott Workman, Nathan Jacobs

Proceedings of the 2016 IEEE Winter Conference on Applications of Computer Vision, 2016

2015

Large-scale geo-facial image analysis.

Mohammad T. Islam, Connor Greenwell, Richard Souvenir, Nathan Jacobs

EURASIP J. Image Video Process., 2015

DEEPFOCAL: A method for direct focal length estimation.

Scott Workman, Connor Greenwell, Menghua Zhai, Ryan Baltenberger, Nathan Jacobs

Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

2014

GeoFaceExplorer: exploring the geo-dependence of facial attributes.

Connor Greenwell, Scott Spurlock, Richard Souvenir, Nathan Jacobs

Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Crowdsourced and Volunteered Geographic Information, 2014