Jordan M. Malof

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 60

Top Venues

CoRR

IGARSS

IEEE Trans. Geosci. Remote. Sens.

AIPR

Duke University, Durham, NC, USA (PHD)

Education History

Duke University, Durham, NC, USA

PHD

Publications

Can Yaras, Kaleb Kassaw, Bohao Huang, Kyle Bradbury, Jordan M. Malof
Randomized Histogram Matching: A Simple Augmentation for Unsupervised Domain Adaptation in Overhead Imagery. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17 (2024)
Darui Lu, Yang Deng, Jordan M. Malof, Willie J. Padilla
Can Large Language Models Learn the Physics of Metamaterials? An Empirical Study with ChatGPT. CoRR (2024)
Simiao Ren, Francesco Luzi, Saad Lahrichi, Kaleb Kassaw, Leslie M. Collins, Kyle Bradbury, Jordan M. Malof
Segment anything, from space? WACV (2024)
Simiao Ren, Yang Deng, Willie J. Padilla, Leslie M. Collins, Jordan M. Malof
Deep Active Learning for Scientific Computing in the Wild. CoRR (2023)
Simiao Ren, Francesco Luzi, Saad Lahrichi, Kaleb Kassaw, Leslie M. Collins, Kyle Bradbury, Jordan M. Malof
Segment anything, from space? CoRR (2023)
Francesco Luzi, Aneesh Gupta, Leslie M. Collins, Kyle Bradbury, Jordan M. Malof
Transformers For Recognition In Overhead Imagery: A Reality Check. WACV (2023)
Gregory P. Spell, Simiao Ren, Leslie M. Collins, Jordan M. Malof
Mixture Manifold Networks: A Computationally Efficient Baseline for Inverse Modeling. AAAI (2023)
Rixi Peng, Juncheng Dong, Jordan M. Malof, Willie J. Padilla, Vahid Tarokh
Deep Generalized Green's Functions. CoRR (2023)
Simiao Ren, Yang Deng, Willie J. Padilla, Jordan M. Malof
Hyperparameter-free deep active learning for regression problems via query synthesis. CoRR (2022)
Gregory P. Spell, Simiao Ren, Leslie M. Collins, Jordan M. Malof
Mixture Manifold Networks: A Computationally Efficient Baseline for Inverse Modeling. CoRR (2022)
Yang Xu, Bohao Huang, Xiong Luo, Kyle Bradbury, Jordan M. Malof
SIMPL: Generating Synthetic Overhead Imagery to Address Custom Zero-Shot and Few-Shot Detection Problems. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15 (2022)
Bohao Huang, Jichen Yang, Artem Streltsov, Kyle Bradbury, Leslie M. Collins, Jordan M. Malof
GridTracer: Automatic Mapping of Power Grids Using Deep Learning and Overhead Imagery. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15 (2022)
Zachary D. Calhoun, Saad Lahrichi, Simiao Ren, Jordan M. Malof, Kyle Bradbury
Self-Supervised Encoders Are Better Transfer Learners in Remote Sensing Applications. Remote. Sens. 14 (21) (2022)
Francesco Luzi, Aneesh Gupta, Leslie M. Collins, Kyle Bradbury, Jordan M. Malof
Transformers For Recognition In Overhead Imagery: A Reality Check. CoRR (2022)
Evelyn A. Stump, Francesco Luzi, Leslie M. Collins, Jordan M. Malof
Meta-Learning for Color-to-Infrared Cross-Modal Style Transfer. CoRR (2022)
Simiao Ren, Jordan M. Malof, Rob Fetter, Robert H. Beach, James Rineer, Kyle Bradbury
Utilizing Geospatial Data for Assessing Energy Security: Mapping Small Solar Home Systems Using Unmanned Aerial Vehicles and Deep Learning. ISPRS Int. J. Geo Inf. 11 (4) (2022)
Simiao Ren, Wei Hu, Kyle Bradbury, Dylan Harrison-Atlas, Laura Malaguzzi Valeri, Brian Murray, Jordan M. Malof
Automated Extraction of Energy Systems Information from Remotely Sensed Data: A Review and Analysis. CoRR (2022)
Handi Yu, Leslie M. Collins, Jordan M. Malof
Meta-simulation for the Automated Design of Synthetic Overhead Imagery. CoRR (2022)
Juncheng Dong, Simiao Ren, Yang Deng, Omar Khatib, Jordan M. Malof, Mohammadreza Soltani, Willie Padilla, Vahid Tarokh
Blaschke Product Neural Networks (BPNN): A Physics-Infused Neural Network for Phase Retrieval of Meromorphic Functions. ICLR (2022)
Yang Xu, Bohao Huang, Xiong Luo, Kyle Bradbury, Jordan M. Malof
SIMPL: Generating Synthetic Overhead Imagery to Address Zero-shot and Few-Shot Detection Problems. CoRR (2021)
Wei Hu, Tyler Feldman, Yanchen J. Ou, Natalie Tarn, Baoyan Ye, Yang Xu, Jordan M. Malof, Kyle Bradbury
Wind Turbine Detection with Synthetic Overhead Imagery. IGARSS (2021)
Can Yaris, Bohao Huang, Kyle Bradbury, Jordan M. Malof
Randomized Histogram Matching: A Simple Augmentation for Unsupervised Domain Adaptation in Overhead Imagery. CoRR (2021)
Yang Deng, Juncheng Dong, Simiao Ren, Omar Khatib, Mohammadreza Soltani, Vahid Tarokh, Willie Padilla, Jordan M. Malof
Benchmarking Data-driven Surrogate Simulators for Artificial Electromagnetic Materials. NeurIPS Datasets and Benchmarks (2021)
Simiao Ren, Ashwin Mahendra, Omar Khatib, Yang Deng, Willie J. Padilla, Jordan M. Malof
Inverse deep learning methods and benchmarks for artificial electromagnetic material design. CoRR (2021)
Gregory P. Spell, Leslie M. Collins, Jordan M. Malof
Application of Compositional Neural Networks for Robust Classification of Infrared Imagery. IGARSS (2021)
Bohao Huang, Jichen Yang, Artem Streltsov, Kyle Bradbury, Leslie M. Collins, Jordan M. Malof
GridTracer: Automatic Mapping of Power Grids using Deep Learning and Overhead Imagery. CoRR (2021)
Juncheng Dong, Simiao Ren, Yang Deng, Omar Khatib, Jordan M. Malof, Mohammadreza Soltani, Willie Padilla, Vahid Tarokh
Blaschke Product Neural Networks (BPNN): A Physics-Infused Neural Network for Phase Retrieval of Meromorphic Functions. CoRR (2021)
Simiao Ren, Willie Padilla, Jordan M. Malof
Benchmarking Deep Inverse Models over time, and the Neural-Adjoint method. NeurIPS (2020)
Varun Nair, Paul Rhee, Jichen Yang, Bohao Huang, Kyle Bradbury, Jordan M. Malof
Designing Synthetic Overhead Imagery to Match a Target Geographic Region: Preliminary Results Training Deep Learning Models. IGARSS (2020)
Simiao Ren, Willie Padilla, Jordan M. Malof
Benchmarking deep inverse models over time, and the neural-adjoint method. CoRR (2020)
Bohao Huang, Kyle Bradbury, Leslie M. Collins, Jordan M. Malof
Do Deep Learning Models Generalize to Overhead Imagery from Novel Geographic Domains? The xGD Benchmark Problem. IGARSS (2020)
Wei Hu, Ben Alexander, Wendell Cathcart, Atsushi Hu, Varun Nair, Lin Zuo, Jordan M. Malof, Leslie M. Collins, Kyle Bradbury
Mapping Electric Transmission Line Infrastructure from Aerial Imagery with Deep Learning. IGARSS (2020)
Fanjie Kong, Bohao Huang, Kyle Bradbury, Jordan M. Malof
The Synthinel-1 dataset: a collection of high resolution synthetic overhead imagery for building segmentation. WACV (2020)
Fanjie Kong, Bohao Huang, Kyle Bradbury, Jordan M. Malof
The Synthinel-1 dataset: a collection of high resolution synthetic overhead imagery for building segmentation. CoRR (2020)
Jordan M. Malof, Boning Li, Bohao Huang, Kyle Bradbury, Artem Stretslov
Mapping solar array location, size, and capacity using deep learning and overhead imagery. CoRR (2019)
Jordan M. Malof, Daniël Reichman, Andrew Karem, Hichem Frigui, K. C. Ho, Joseph N. Wilson, Wen-Hsiung Lee, William Cummings, Leslie M. Collins
A Large-Scale Multi-Institutional Evaluation of Advanced Discrimination Algorithms for Buried Threat Detection in Ground Penetrating Radar. IEEE Trans. Geosci. Remote. Sens. 57 (9) (2019)
Fanjie Kong, Cheng Chen, Bohao Huang, Leslie M. Collins, Kyle Bradbury, Jordan M. Malof
Training a single multi-class convolutional segmentation network using multiple datasets with heterogeneous labels: preliminary results. IGARSS (2019)
Kangcheng Lin, Bohao Huang, Leslie M. Collins, Kyle Bradbury, Jordan M. Malof
A simple rotational equivariance loss for generic convolutional segmentation networks: preliminary results. IGARSS (2019)
Joseph A. Camilo, Leslie M. Collins, Jordan M. Malof
A Large Comparison of Feature-Based Approaches for Buried Target Classification in Forward-Looking Ground-Penetrating Radar. IEEE Trans. Geosci. Remote. Sens. 56 (1) (2018)
Daniel Reichman, Leslie M. Collins, Jordan M. Malof
gprHOG: Several Simple Improvements to the Histogram of Oriented Gradients Feature for Threat Detection in Ground-Penetrating Radar. CoRR (2018)
Jordan M. Malof, Daniël Reichman, Andrew Karem, Hichem Frigui, Dominic K. C. Ho, Joseph N. Wilson, Wen-Hsiung Lee, William Cummings, Leslie M. Collins
A Large-Scale Multi-Institutional Evaluation of Advanced Discrimination Algorithms for Buried Threat Detection in Ground Penetrating Radar. CoRR (2018)
Bohao Huang, Daniel Reichman, Leslie M. Collins, Kyle Bradbury, Jordan M. Malof
Dense labeling of large remote sensing imagery with convolutional neural networks: a simple and faster alternative to stitching output label maps. CoRR (2018)
Rui Wang, Leslie M. Collins, Kyle Bradbury, Jordan M. Malof
Semisupervised Adversarial Discriminative Domain Adaptation, with Applicationto Remote Sensing Data. IGARSS (2018)
Bohao Huang, Leslie M. Collins, Kyle Bradbury, Jordan M. Malof
Deep Convolutional Segmentation of Remote Sensing Imagery: A Simple and Efficient Alternative to Stitching Output Labels. IGARSS (2018)
Artem Streltsov, Kyle Bradbury, Jordan M. Malof
Automated Building Energy Consumption Estimation from Aerial Imagery. IGARSS (2018)
Daniël Reichman, Leslie M. Collins, Jordan M. Malof
On Choosing Training and Testing Data for Supervised Algorithms in Ground-Penetrating Radar Data for Buried Threat Detection. IEEE Trans. Geosci. Remote. Sens. 56 (1) (2018)
Bohao Huang, Daniel Reichman, Leslie M. Collins, Kyle Bradbury, Jordan M. Malof
On The Extraction of Training Imagery from Very Large Remote Sensing Datasets for Deep Convolutional Segmenatation Networks. IGARSS (2018)
Bohao Huang, Kangkang Lu, Nicolas Audebert, Andrew Khalel, Yuliya Tarabalka, Jordan M. Malof, Alexandre Boulch, Bertrand Le Saux, Leslie M. Collins, Kyle Bradbury, Sébastien Lefèvre, Motaz El-Saban
Large-Scale Semantic Classification: Outcome of the First Year of Inria Aerial Image Labeling Benchmark. IGARSS (2018)
Joseph A. Camilo, Rui Wang, Leslie M. Collins, Kyle Bradbury, Jordan M. Malof
Application of a semantic segmentation convolutional neural network for accurate automatic detection and mapping of solar photovoltaic arrays in aerial imagery. CoRR (2018)
Rui Wang, Joseph A. Camilo, Leslie M. Collins, Kyle Bradbury, Jordan M. Malof
The poor generalization of deep convolutional networks to aerial imagery from new geographic locations: an empirical study with solar array detection. AIPR (2017)
Joseph A. Camilo, Leslie M. Collins, Jordan M. Malof
A large comparison of feature-based approaches for buried target classification in forward-looking ground-penetrating radar. CoRR (2017)
Brenda So, Cory Nezin, Vishnu Kaimal, Sam Keene, Leslie M. Collins, Kyle Bradbury, Jordan M. Malof
Estimating the electricity generation capacity of solar photovoltaic arrays using only color aerial imagery. IGARSS (2017)
Rui Wang, Joseph A. Camilo, Leslie M. Collins, Kyle Bradbury, Jordan M. Malof
The poor generalization of deep convolutional networks to aerial imagery from new geographic locations: an empirical study with solar array detection. AIPR (2017)
Shengxin Qian, Sravya Chelikani, Patrick Wang, Leslie M. Collins, Kyle Bradbury, Jordan M. Malof
Trading spatial resolution for improved accuracy when using detection algorithms on remote sensing imagery. IGARSS (2017)
Jordan M. Malof, Leslie M. Collins, Kyle Bradbury
A deep convolutional neural network, with pre-training, for solar photovoltaic array detection in aerial imagery. IGARSS (2017)
Jordan M. Malof, Sravya Chelikani, Leslie M. Collins, Kyle Bradbury
Trading spatial resolution for improved accuracy in remote sensing imagery: an empirical study using synthetic data. AIPR (2017)
Jordan M. Malof, Kyle Bradbury, Leslie M. Collins, Richard G. Newell
Automatic Detection of Solar Photovoltaic Arrays in High Resolution Aerial Imagery. CoRR (2016)
Daniël Reichman, Leslie M. Collins, Jordan M. Malof
On Choosing Training and Testing Data for Supervised Algorithms in Ground Penetrating Radar Data for Buried Threat Detection. CoRR (2016)
Daniël Reichman, Jordan M. Malof, Leslie M. Collins
Leveraging seed dictionaries to improve dictionary learning. ICIP (2016)
Jordan M. Malof, Kenneth D. Morton, Leslie M. Collins, Peter A. Torrione
A Probabilistic Model for Designing Multimodality Landmine Detection Systems to Improve Rates of Advance. IEEE Trans. Geosci. Remote. Sens. 54 (9) (2016)
Jordan M. Malof, Maciej A. Mazurowski, Georgia D. Tourassi
The effect of class imbalance on case selection for case-based classifiers: An empirical study in the context of medical decision support. Neural Networks 25 (2012)
Jordan M. Malof, Adam E. Gaweda
Optimizing drug therapy with Reinforcement Learning: The case of Anemia Management. IJCNN (2011)
Jordan M. Malof, Maciej A. Mazurowski, Georgia D. Tourassi
The effect of class imbalance on case selection for case-based classifiers, with emphasis on computer-aided diagnosis systems. IJCNN (2009)
Maciej A. Mazurowski, Jordan M. Malof, Jacek M. Zurada, Georgia D. Tourassi
A comparative study of database reduction methods for case-based computer-aided detection systems: preliminary results. Medical Imaging: Computer-Aided Diagnosis (2009)

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Publication Activity (10 Years)

Top Topics

Top Venues

Jordan M. Malof