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Jordan M. Malof · SciRah

Researcher profile · Semantic Scholar

Jordan M. Malof

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Jordan M. Malof — researcher profile on SciRah

h-index: 27
Works: 124
Citations: 2,942

Most-cited papers

Deep learning for accelerated all-dielectric metasurface design.
Christian C. Nadell, Bohao Huang, Jordan M. Malof, Willie J Padilla
2019Optics Express330 citations Open access
Semantic Scholar
Deep Learning the Electromagnetic Properties of Metamaterials—A Comprehensive Review
O. Khatib, Si-Miao Ren, Jordan M. Malof, Willie J Padilla
2021Advanced Functional Materials201 citations Open access
Semantic Scholar
Segment anything, from space?
Si-Miao Ren, Francesco Luzi, S. Lahrichi, Kaleb Kassaw +3 more
2023IEEE Workshop/Winter Conference on Applications of Computer Vision93 citations Open access
Semantic Scholar
Large-Scale Semantic Classification: Outcome of the First Year of Inria Aerial Image Labeling Benchmark
Bohao Huang, Kangkang Lu, Nicolas Audeberr, A. Khalel +8 more
2018IEEE International Geoscience and Remote Sensing Symposium91 citations
Semantic Scholar
Estimating residential building energy consumption using overhead imagery
A. Streltsov, Jordan M. Malof, Bohao Huang, Kyle Bradbury
2020Applied Energy86 citations Open access
Semantic Scholar
Neural-adjoint method for the inverse design of all-dielectric metasurfaces.
Yang Deng, Si-Miao Ren, K. Fan, Jordan M. Malof +1 more
2020Optics Express86 citations Open access
Semantic Scholar
A deep convolutional neural network, with pre-training, for solar photovoltaic array detection in aerial imagery
Jordan M. Malof, L. Collins, Kyle Bradbury
2017IEEE International Geoscience and Remote Sensing Symposium66 citations
Semantic Scholar
Tiling and Stitching Segmentation Output for Remote Sensing: Basic Challenges and Recommendations
Bohao Huang, Daniel Reichman, L. Collins, Kyle Bradbury +1 more
201860 citations
Semantic Scholar
Benchmarking deep inverse models over time, and the neural-adjoint method
Si-Miao Ren, Willie J Padilla, Jordan M. Malof
2020Neural Information Processing Systems58 citations
Semantic Scholar
Learning the Physics of All‐Dielectric Metamaterials with Deep Lorentz Neural Networks
O. Khatib, Si-Miao Ren, Jordan M. Malof, Willie J. Padilla
2022Advanced Optical Materials55 citations
Semantic Scholar
Improving convolutional neural networks for buried target detection in ground penetrating radar using transfer learning via pretraining
John Bralich, Daniel Reichman, L. Collins, Jordan M. Malof
2017Defense + Security53 citations
Semantic Scholar
Automated Extraction of Energy Systems Information from Remotely Sensed Data: A Review and Analysis
Si-Miao Ren, Wei Hu, Kyle Bradbury, D. Harrison-Atlas +3 more
2022Applied Energy52 citations Open access
Semantic Scholar
Some good practices for applying convolutional neural networks to buried threat detection in Ground Penetrating Radar
Daniel Reichman, L. Collins, Jordan M. Malof
2017International Workshop on Advanced Ground Penetrating Radar51 citations
Semantic Scholar
Application of a semantic segmentation convolutional neural network for accurate automatic detection and mapping of solar photovoltaic arrays in aerial imagery
Joseph A. Camilo, Rui Wang, L. Collins, Kyle Bradbury +1 more
2018arXiv.org50 citations
Semantic Scholar
Inverse deep learning methods and benchmarks for artificial electromagnetic material design
Si-Miao Ren, Ashwin Mahendra, Omar Khatib, Yang Deng +2 more
2021Nanoscale45 citations Open access
Semantic Scholar
The Synthinel-1 dataset: a collection of high resolution synthetic overhead imagery for building segmentation
Fanjie Kong, Bohao Huang, Kyle Bradbury, Jordan M. Malof
2020IEEE Workshop/Winter Conference on Applications of Computer Vision43 citations Open access
Semantic Scholar
A Large-Scale Multi-Institutional Evaluation of Advanced Discrimination Algorithms for Buried Threat Detection in Ground Penetrating Radar
Jordan M. Malof, Daniel Reichman, A. Karem, H. Frigui +5 more
2018IEEE Transactions on Geoscience and Remote Sensing39 citations Open access
Semantic Scholar
Randomized Histogram Matching: A Simple Augmentation for Unsupervised Domain Adaptation in Overhead Imagery
Can Yaras, Kaleb Kassaw, Bohao Huang, Kyle Bradbury +1 more
2021IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing29 citations Open access
Semantic Scholar
The poor generalization of deep convolutional networks to aerial imagery from new geographic locations: an empirical study with solar array detection
Rui Wang, Joseph A. Camilo, L. Collins, Kyle Bradbury +1 more
2017International Conference on Artificial Intelligence and Pattern Recognition29 citations
Semantic Scholar
Mapping solar array location, size, and capacity using deep learning and overhead imagery
Jordan M. Malof, Boning Li, Bohao Huang, Kyle Bradbury +1 more
2019arXiv.org27 citations
Semantic Scholar
Image features for pixel-wise detection of solar photovoltaic arrays in aerial imagery using a random forest classifier
Jordan M. Malof, Kyle Bradbury, L. Collins, R. Newell +3 more
2016IEEE International Conference on Renewable Energy Research and Applications27 citations
Semantic Scholar
What you get is not always what you see—pitfalls in solar array assessment using overhead imagery
Wei Hu, Kyle Bradbury, Jordan M. Malof, Boning Li +4 more
2019Applied Energy25 citations Open access
Semantic Scholar
Utilizing Geospatial Data for Assessing Energy Security: Mapping Small Solar Home Systems Using Unmanned Aerial Vehicles and Deep Learning
Si-Miao Ren, Jordan M. Malof, Robert K. Fetter, R. Beach +2 more
2022ISPRS Int. J. Geo Inf.23 citations Open access
Semantic Scholar
Deep Inverse Photonic Design: A Tutorial
Yang Deng, Si-Miao Ren, Jordan M. Malof, Willie J. Padilla
2022Social Science Research Network23 citations Open access
Semantic Scholar
A Large Comparison of Feature-Based Approaches for Buried Target Classification in Forward-Looking Ground-Penetrating Radar
Joseph A. Camilo, L. Collins, Jordan M. Malof
2017IEEE Transactions on Geoscience and Remote Sensing22 citations Open access
Semantic Scholar
Self-Supervised Encoders Are Better Transfer Learners in Remote Sensing Applications
Zachary D. Calhoun, S. Lahrichi, Si-Miao Ren, Jordan M. Malof +1 more
2022Remote Sensing19 citations Open access
Semantic Scholar
GridTracer: Automatic Mapping of Power Grids Using Deep Learning and Overhead Imagery
Bohao Huang, Ji-Chen Yang, A. Streltsov, Kyle Bradbury +2 more
2021IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing19 citations Open access
Semantic Scholar
Estimating the electricity generation capacity of solar photovoltaic arrays using only color aerial imagery
Brenda So, Cory Nezin, Vishnu Kaimal, Sam Keene +3 more
2017IEEE International Geoscience and Remote Sensing Symposium17 citations
Semantic Scholar
Benchmarking Data-driven Surrogate Simulators for Artificial Electromagnetic Materials
Yang Deng, Jun-Cheng Dong, Si-Miao Ren, Omar Khatib +4 more
2021NeurIPS Datasets and Benchmarks16 citations
Semantic Scholar
Improvements to the Histogram of Oriented Gradient (HOG) prescreener for buried threat detection in ground penetrating radar data
Daniel Reichman, L. Collins, Jordan M. Malof
2017Defense + Security16 citations
Semantic Scholar
SIMPL: Generating Synthetic Overhead Imagery to Address Custom Zero-Shot and Few-Shot Detection Problems
Yang Xu, Bohao Huang, Xiong Luo, Kyle Bradbury +1 more
2022IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing12 citations Open access
Semantic Scholar
How do we choose the best model? The impact of cross-validation design on model evaluation for buried threat detection in ground penetrating radar
Jordan M. Malof, Daniel Reichman, L. Collins
2018Defense + Security11 citations
Semantic Scholar
Algorithm development for deeply buried threat detection in GPR data
Daniel Reichman, Jordan M. Malof, L. Collins
2016SPIE Defense + Security11 citations
Semantic Scholar
Are Deep Learning Models Robust to Partial Object Occlusion in Visual Recognition Tasks?
Kaleb Kassaw, Francesco Luzi, Leslie M. Collins, Jordan M. Malof
2024arXiv.org10 citations
Semantic Scholar
Deep Convolutional Segmentation of Remote Sensing Imagery: A Simple and Efficient Alternative to Stitching Output Labels
Bohao Huang, L. Collins, Kyle Bradbury, Jordan M. Malof
2018IEEE International Geoscience and Remote Sensing Symposium10 citations
Semantic Scholar
Learning improved pooling regions for the Histogram of Oriented Gradient (HOG) feature for buried threat detection in ground penetrating radar
Daniel Reichman, L. Collins, Jordan M. Malof
2017Defense + Security10 citations
Semantic Scholar
Improving the histogram of oriented gradient feature for threat detection in ground penetrating radar by implementing it as a trainable convolutional neural network
Jordan M. Malof, John Bralich, Daniel Reichman, L. Collins
2018Defense + Security9 citations
Semantic Scholar
Are deep learning models robust to partial object occlusion in visual recognition tasks?
Kaleb Kassaw, Francesco Luzi, Leslie M. Collins, Jordan M. Malof
2025Pattern Recognition7 citations Open access
Semantic Scholar
Soft-masks guided faster region-based convolutional neural network for domain adaptation in wind turbine detection
Yang Xu, Xiong Luo, Manman Yuan, Bohao Huang +1 more
2023Frontiers in Energy Research7 citations Open access
Semantic Scholar
Reliable training of convolutional neural networks for GPR-based buried threat detection using the Adam optimizer and batch normalization
S. Jacobson, Daniel Reichman, Joel Bjornstad, L. Collins +1 more
2019Defense + Commercial Sensing7 citations
Semantic Scholar
Training a single multi-class convolutional segmentation network using multiple datasets with heterogeneous labels: preliminary results
Fanjie Kong, Cheng Chen, Bohao Huang, L. Collins +2 more
2019IEEE International Geoscience and Remote Sensing Symposium7 citations
Semantic Scholar
Semisupervised Adversarial Discriminative Domain Adaptation, with Applicationto Remote Sensing Data
Rui Wang, L. Collins, Kyle Bradbury, Jordan M. Malof
2018IEEE International Geoscience and Remote Sensing Symposium7 citations
Semantic Scholar
Deep Generalized Green's Functions
Rixi Peng, Jun-Cheng Dong, Jordan M. Malof, Willie J. Padilla +1 more
2023arXiv.org6 citations Open access
Semantic Scholar
Do Deep Learning Models Generalize to Overhead Imagery from Novel Geographic Domains? The xGD Benchmark Problem
Bohao Huang, Kyle Bradbury, L. Collins, Jordan M. Malof
2020IEEE International Geoscience and Remote Sensing Symposium6 citations
Semantic Scholar
A simple rotational equivariance loss for generic convolutional segmentation networks: preliminary results
Kangcheng Lin, Bohao Huang, L. Collins, Kyle Bradbury +1 more
2019IEEE International Geoscience and Remote Sensing Symposium5 citations
Semantic Scholar
Dense labeling of large remote sensing imagery with convolutional neural networks: a simple and faster alternative to stitching output label maps
Bohao Huang, Daniel Reichman, L. Collins, Kyle Bradbury +1 more
2018arXiv.org5 citations
Semantic Scholar
gprHOG and the popularity of Histogram of Oriented Gradients (HOG) for Buried Threat Detection in Ground-Penetrating Radar
Daniel Reichman, L. Collins, Jordan M. Malof
20185 citations
Semantic Scholar
Automated Building Energy Consumption Estimation from Aerial Imagery
A. Streltsov, Kyle Bradbury, Jordan M. Malof
2018IEEE International Geoscience and Remote Sensing Symposium5 citations
Semantic Scholar
Discriminative dictionary learning to learn effective features for detecting buried threats in ground penetrating radar data
Jordan M. Malof, Daniel Reichman, L. Collins
2017Defense + Security5 citations
Semantic Scholar
Trading spatial resolution for improved accuracy when using detection algorithms on remote sensing imagery
Shen Qian, Sravya Chelikani, Patrick Wang, L. Collins +2 more
2017IEEE International Geoscience and Remote Sensing Symposium5 citations
Semantic Scholar

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