| 2024 | IGARSS | Enhanced Remote Sensing Model Performance Through Self-Supervised Learning with Multi-Spectral Data. | Marlyne Hakizimana, Emelia Mavis, Yuting Chiu, Jordan M. Malof, Kyle Bradbury |
| 2024 | WACV | Segment anything, from space? | Simiao Ren, Francesco Luzi, Saad Lahrichi, Kaleb Kassaw, Leslie M. Collins, Kyle Bradbury, Jordan M. Malof |
| 2023 | WACV | Transformers For Recognition In Overhead Imagery: A Reality Check. | Francesco Luzi, Aneesh Gupta, Leslie M. Collins, Kyle Bradbury, Jordan M. Malof |
| 2021 | IGARSS | Wind Turbine Detection with Synthetic Overhead Imagery. | Wei Hu, Tyler Feldman, Yanchen Jessie Ou, Natalie Tarn, Baoyan Ye, Yang Xu, Jordan M. Malof, Kyle Bradbury |
| 2020 | IGARSS | Designing Synthetic Overhead Imagery to Match a Target Geographic Region: Preliminary Results Training Deep Learning Models. | Varun Nair, Paul Rhee, Jichen Yang, Bohao Huang, Kyle Bradbury, Jordan M. Malof |
| 2020 | IGARSS | Mapping Electric Transmission Line Infrastructure from Aerial Imagery with Deep Learning. | Wei Hu, Ben Alexander, Wendell Cathcart, Atsushi Hu, Varun Nair, Lin Zuo, Jordan M. Malof, Leslie M. Collins, Kyle Bradbury |
| 2020 | IGARSS | Do Deep Learning Models Generalize to Overhead Imagery from Novel Geographic Domains? The xGD Benchmark Problem. | Bohao Huang, Kyle Bradbury, Leslie M. Collins, Jordan M. Malof |
| 2020 | WACV | The Synthinel-1 dataset: a collection of high resolution synthetic overhead imagery for building segmentation. | Fanjie Kong, Bohao Huang, Kyle Bradbury, Jordan M. Malof |
| 2019 | IGARSS | Training a single multi-class convolutional segmentation network using multiple datasets with heterogeneous labels: preliminary results. | Fanjie Kong, Cheng Chen, Bohao Huang, Leslie M. Collins, Kyle Bradbury, Jordan M. Malof |
| 2019 | IGARSS | A simple rotational equivariance loss for generic convolutional segmentation networks: preliminary results. | Kangcheng Lin, Bohao Huang, Leslie M. Collins, Kyle Bradbury, Jordan M. Malof |
| 2018 | IGARSS | Automated Building Energy Consumption Estimation from Aerial Imagery. | Artem Streltsov, Kyle Bradbury, Jordan M. Malof |
| 2018 | IGARSS | Semisupervised Adversarial Discriminative Domain Adaptation, with Applicationto Remote Sensing Data. | Rui Wang, Leslie M. Collins, Kyle Bradbury, Jordan M. Malof |
| 2018 | IGARSS | On The Extraction of Training Imagery from Very Large Remote Sensing Datasets for Deep Convolutional Segmenatation Networks. | Bohao Huang, Daniel Reichman, Leslie M. Collins, Kyle Bradbury, Jordan M. Malof |
| 2018 | IGARSS | Deep Convolutional Segmentation of Remote Sensing Imagery: A Simple and Efficient Alternative to Stitching Output Labels. | Bohao Huang, Leslie M. Collins, Kyle Bradbury, Jordan M. Malof |
| 2018 | IGARSS | Large-Scale Semantic Classification: Outcome of the First Year of Inria Aerial Image Labeling Benchmark. | Bohao Huang, Kangkang Lu, Nicolas Audebert, Andrew Khalel, Yuliya Tarabalka, Jordan M. Malof, Alexandre Boulch, Bertrand Le Saux, Leslie M. Collins, Kyle Bradbury, Sbastien Lefvre, Motaz El-Saban |
| 2017 | IGARSS | Trading spatial resolution for improved accuracy when using detection algorithms on remote sensing imagery. | Shengxin Qian, Sravya Chelikani, Patrick Wang, Leslie M. Collins, Kyle Bradbury, Jordan M. Malof |
| 2017 | IGARSS | Estimating the electricity generation capacity of solar photovoltaic arrays using only color aerial imagery. | Brenda So, Cory Nezin, Vishnu Kaimal, Sam Keene, Leslie M. Collins, Kyle Bradbury, Jordan M. Malof |
| 2017 | IGARSS | A deep convolutional neural network, with pre-training, for solar photovoltaic array detection in aerial imagery. | Jordan M. Malof, Leslie M. Collins, Kyle Bradbury |