| Deep learning for accelerated all-dielectric metasurface design CC Nadell, B Huang, JM Malof, WJ Padilla Optics express 27 (20), 27523-27535, 2019 | 440 | 2019 |
| Large-scale semantic classification: outcome of the first year of inria aerial image labeling benchmark B Huang, K Lu, N Audeberr, A Khalel, Y Tarabalka, J Malof, A Boulch, ... IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018 | 104 | 2018 |
| Estimating residential building energy consumption using overhead imagery A Streltsov, JM Malof, B Huang, K Bradbury Applied Energy 280, 116018, 2020 | 77 | 2020 |
| Tiling and stitching segmentation output for remote sensing: Basic challenges and recommendations B Huang, D Reichman, LM Collins, K Bradbury, JM Malof arXiv preprint arXiv:1805.12219, 2018 | 59 | 2018 |
| The Synthinel-1 dataset: A collection of high resolution synthetic overhead imagery for building segmentation F Kong, B Huang, K Bradbury, J Malof Proceedings of the IEEE/CVF winter conference on applications of computer …, 2020 | 50 | 2020 |
| Mapping solar array location, size, and capacity using deep learning and overhead imagery JM Malof, B Li, B Huang, K Bradbury, A Stretslov Preprint at https://arxiv. org/abs/1902.10895, 2019 | 45* | 2019 |
| Randomized histogram matching: A simple augmentation for unsupervised domain adaptation in overhead imagery C Yaras, K Kassaw, B Huang, K Bradbury, JM Malof IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2023 | 24 | 2023 |
| Non-intrusive load monitoring system performance over a range of low frequency sampling rates B Huang, M Knox, K Bradbury, LM Collins, RG Newell 2017 IEEE 6th International Conference on Renewable Energy Research and …, 2017 | 20 | 2017 |
| GridTracer: Automatic mapping of power grids using deep learning and overhead imagery B Huang, J Yang, A Streltsov, K Bradbury, LM Collins, JM Malof IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2021 | 15 | 2021 |
| Deep convolutional segmentation of remote sensing imagery: A simple and efficient alternative to stitching output labels B Huang, LM Collins, K Bradbury, JM Malof IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018 | 15 | 2018 |
| Simpl: Generating synthetic overhead imagery to address custom zero-shot and few-shot detection problems Y Xu, B Huang, X Luo, K Bradbury, JM Malof IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2022 | 10 | 2022 |
| Dense labeling of large remote sensing imagery with convolutional neural networks: a simple and faster alternative to stitching output label maps B Huang, D Reichman, LM Collins, K Bradbury, JM Malof arXiv preprint arXiv:1805.12219, 2018 | 8 | 2018 |
| Bertr Le Saux, Leslie Collins, Kyle Bradbury, et al. Largescale semantic classification: outcome of the first year of inria aerial image labeling benchmark B Huang, K Lu, N Audeberr, A Khalel, Y Tarabalka, J Malof, A Boulch IGARSS 2018, 6947-6950, 2018 | 8 | 2018 |
| Do deep learning models generalize to overhead imagery from novel geographic domains? the xgd benchmark problem B Huang, K Bradbury, LM Collins, JM Malof IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium …, 2020 | 7 | 2020 |
| Training a single multi-class convolutional segmentation network using multiple datasets with heterogeneous labels: preliminary results F Kong, C Chen, B Huang, LM Collins, K Bradbury, JM Malof IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019 | 7 | 2019 |
| A simple rotational equivariance loss for generic convolutional segmentation networks: Preliminary results K Lin, B Huang, LM Collins, K Bradbury, JM Malof IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019 | 7 | 2019 |
| Tiling and Stitching Segmentation Output for Remote Sensing: Basic Challenges and Recommendations. arXiv 2019 B Huang, D Reichman, LM Collins, K Bradbury, JM Malof arXiv preprint arXiv:1805.12219, 0 | 6 | |
| Mapping solar array location, size, and capacity using deep learning and overhead imagery. arXiv 2019 JM Malof, B Li, B Huang, K Bradbury, A Stretslov arXiv preprint arXiv:1902.10895, 0 | 6 | |
| Soft-masks guided faster region-based convolutional neural network for domain adaptation in wind turbine detection Y Xu, X Luo, M Yuan, B Huang, JM Malof Frontiers in Energy Research 10, 1083005, 2023 | 5 | 2023 |
| Sampling training images from a uniform grid improves the performance and learning speed of deep convolutional segmentation networks on large aerial imagery B Huang, D Reichman, LM Collins, K Bradbury, JM Malof IGARSS, 2018 | 5 | 2018 |
Jordan M MalofAssistant Professor, University of Missouriبريد إلكتروني تم التحقق منه على missouri.edu
Kyle BradburyDuke Universityبريد إلكتروني تم التحقق منه على duke.edu
Leslie M CollinsProfessor of Electrical and Computer Engineering, Duke Universityبريد إلكتروني تم التحقق منه على duke.edu
Artem StreltsovCornell University, PhD studentبريد إلكتروني تم التحقق منه على cornell.eduDaniel ReichmanResearch Scientist, Dukeبريد إلكتروني تم التحقق منه على duke.edu
Boning LiPhD Candidate, Rice University (Electrical and Computer Engineering)بريد إلكتروني تم التحقق منه على rice.edu
Yuliya TarabalkaVice President - Geospatial Solutions, Space42بريد إلكتروني تم التحقق منه على space42.ai
Richard G NewellC3 AIبريد إلكتروني تم التحقق منه على c3.ai