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Jordan M. Malof
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Meta-Learning for Color-to-Infrared Cross-Modal Style Transfer


Dec 24, 2022
Evelyn A. Stump, Francesco Luzi, Leslie M. Collins, Jordan M. Malof

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Mixture Manifold Networks: A Computationally Efficient Baseline for Inverse Modeling


Nov 25, 2022
Gregory P. Spell, Simiao Ren, Leslie M. Collins, Jordan M. Malof

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* This paper has been accepted to AAAI 2023; this is not the final version 
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Meta-simulation for the Automated Design of Synthetic Overhead Imagery


Sep 19, 2022
Handi Yu, Leslie M. Collins, Jordan M. Malof

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Automated Extraction of Energy Systems Information from Remotely Sensed Data: A Review and Analysis


Feb 18, 2022
Simiao Ren, Wei Hu, Kyle Bradbury, Dylan Harrison-Atlas, Laura Malaguzzi Valeri, Brian Murray, Jordan M. Malof

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Inverse deep learning methods and benchmarks for artificial electromagnetic material design


Dec 19, 2021
Simiao Ren, Ashwin Mahendra, Omar Khatib, Yang Deng, Willie J. Padilla, Jordan M. Malof

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SIMPL: Generating Synthetic Overhead Imagery to Address Zero-shot and Few-Shot Detection Problems


Jun 29, 2021
Yang Xu, Bohao Huang, Xiong Luo, Kyle Bradbury, Jordan M. Malof

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Randomized Histogram Matching: A Simple Augmentation for Unsupervised Domain Adaptation in Overhead Imagery


Apr 30, 2021
Can Yaras, Bohao Huang, Kyle Bradbury, Jordan M. Malof

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* Includes a main paper (10 pages) and supplementary material (4 additional pages). This paper is currently undergoing peer review 
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The Synthinel-1 dataset: a collection of high resolution synthetic overhead imagery for building segmentation


Jan 15, 2020
Fanjie Kong, Bohao Huang, Kyle Bradbury, Jordan M. Malof

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* Preprint of paper accepted for publication at Winter Conference on Applications of Computer Vision (WACV) 2020 
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Mapping solar array location, size, and capacity using deep learning and overhead imagery


Feb 28, 2019
Jordan M. Malof, Boning Li, Bohao Huang, Kyle Bradbury, Artem Stretslov

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