Connor Greenwell

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 16

Top Topics

Satellite Images

Facial Image Analysis

Top Venues

Publications

Jon Crall, Connor Greenwell, David Joy, Matthew J. Leotta, Aashish Chaudhary, Anthony Hoogs
GeoWATCH for Detecting Heavy Construction in Heterogeneous Time Series of Satellite Images. CoRR (2024)
Connor Greenwell, Jon Crall, Matthew Purri, Kristin J. Dana, Nathan Jacobs, Armin Hadzic, Scott Workman, Matthew J. Leotta
WATCH: Wide-Area Terrestrial Change Hypercube. WACV (2024)
Gongbo Liang, Connor Greenwell, Yu Zhang, Xin Xing, Xiaoqin Wang, Ramakanth Kavuluru, Nathan Jacobs
Contrastive Cross-Modal Pre-Training: A General Strategy for Small Sample Medical Imaging. IEEE J. Biomed. Health Informatics 26 (4) (2022)
Benjamin Brodie, Subash Khanal, Muhammad Usman Rafique, Connor Greenwell, Nathan Jacobs
Hierarchical Probabilistic Embeddings for Multi-View Image Classification. IGARSS (2021)
Scott Workman, Muhammad Usman Rafique, Hunter Blanton, Connor Greenwell, Nathan Jacobs
Single Image Cloud Detection via Multi-Image Fusion. CoRR (2020)
Hunter Blanton, Connor Greenwell, Scott Workman, Nathan Jacobs
Extending Absolute Pose Regression to Multiple Scenes. CVPR Workshops (2020)
Scott Workman, Muhammad Usman Rafique, Hunter Blanton, Connor Greenwell, Nathan Jacobs
Single Image Cloud Detection via Multi-Image Fusion. IGARSS (2020)
Gongbo Liang, Connor Greenwell, Yu Zhang, Xiaoqin Wang, Ramakanth Kavuluru, Nathan Jacobs
Weakly-Supervised Feature Learning via Text and Image Matching. CoRR (2020)
Connor Greenwell, Scott Workman, Nathan Jacobs
Implicit Land Use Mapping Using Social Media Imagery. AIPR (2019)
Tawfiq Salem, Connor Greenwell, Hunter Blanton, Nathan Jacobs
Learning to Map Nearly Anything. CoRR (2019)
Tawfiq Salem, Connor Greenwell, Hunter Blanton, Nathan Jacobs
Learning to Map Nearly Anything. IGARSS (2019)
Menghua Zhai, Tawfiq Salem, Connor Greenwell, Scott Workman, Robert Pless, Nathan Jacobs
Learning Geo-Temporal Image Features. CoRR (2019)
Connor Greenwell, Scott Workman, Nathan Jacobs
What Goes Where: Predicting Object Distributions from Above. CoRR (2018)
Menghua Zhai, Tawfiq Salem, Connor Greenwell, Scott Workman, Robert Pless, Nathan Jacobs
Learning Geo-Temporal Image Features. BMVC (2018)
Connor Greenwell, Scott Workman, Nathan Jacobs
What Goes Where: Predicting Object Distributions from Above. IGARSS (2018)
Ryan Baltenberger, Menghua Zhai, Connor Greenwell, Scott Workman, Nathan Jacobs
A fast method for estimating transient scene attributes. WACV (2016)
Mohammad T. Islam, Connor Greenwell, Richard Souvenir, Nathan Jacobs
Large-scale geo-facial image analysis. EURASIP J. Image Video Process. 2015 (2015)
Scott Workman, Connor Greenwell, Menghua Zhai, Ryan Baltenberger, Nathan Jacobs
DEEPFOCAL: A method for direct focal length estimation. ICIP (2015)
Connor Greenwell, Scott Spurlock, Richard Souvenir, Nathan Jacobs
GeoFaceExplorer: exploring the geo-dependence of facial attributes. GEOGROWD (2014)