Kyle Bradbury - RankMe

41 papers A 3C 15Journal 19Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Closing Gaps in Emissions Monitoring with Climate TRACE. CoRR Brittany V. Lancellotti, Jordan M. Malof, Aaron Davitt, Gavin McCormick, Shelby Anderson, Pol Carbó-Mestre, Gary Collins, Verity Crane, Zoheyr Doctor, George Ebri, Kevin Foster, Trey M. Gowdy, Michael Guzzardi, John Heal, Heather Hunter, David Kroodsma, Khandekar Mahammad Galib, Paul J. Markakis, Gavin McDonald, Daniel P. Moore, Eric D. Nguyen, Sabina Parvu, Michael J. Pekala, Christine D. Piatko, Amy Piscopo, Mark Powell, Krsna Raniga, Elizabeth Perez Reilly, Michael S. Robinette, Ishan Saraswat, Patrick Sicurello, Isabella Söldner-Rembold, Raymond Song, Charlotte Underwood, Kyle Bradbury
2025	J	`jnl`	Improving and Evaluating Open Deep Research Agents. CoRR Doaa Allabadi, Kyle Bradbury, Jordan M. Malof
2025	J	`jnl`	Is Self-Supervised Pre-training on Satellite Imagery Better than ImageNet? A Systematic Study with Sentinel-2. CoRR Saad Lahrichi, Zion Sheng, Shufan Xia, Kyle Bradbury, Jordan M. Malof
2024	C	`conf`	Enhanced Remote Sensing Model Performance Through Self-Supervised Learning with Multi-Spectral Data. IGARSS Marlyne Hakizimana, Emelia Mavis, Yuting Chiu, Jordan M. Malof, Kyle Bradbury
2024	J	`jnl`	Randomized Histogram Matching: A Simple Augmentation for Unsupervised Domain Adaptation in Overhead Imagery. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Can Yaras, Kaleb Kassaw, Bohao Huang, Kyle Bradbury, Jordan M. Malof
2024	A	`conf`	Segment anything, from space? WACV Simiao Ren, Francesco Luzi, Saad Lahrichi, Kaleb Kassaw, Leslie M. Collins, Kyle Bradbury, Jordan M. Malof
2023	J	`jnl`	Segment anything, from space? CoRR Simiao Ren, Francesco Luzi, Saad Lahrichi, Kaleb Kassaw, Leslie M. Collins, Kyle Bradbury, Jordan M. Malof
2023	A	`conf`	Transformers For Recognition In Overhead Imagery: A Reality Check. WACV Francesco Luzi, Aneesh Gupta, Leslie M. Collins, Kyle Bradbury, Jordan M. Malof
2022	J	`jnl`	Automated Extraction of Energy Systems Information from Remotely Sensed Data: A Review and Analysis. CoRR Simiao Ren, Wei Hu, Kyle Bradbury, Dylan Harrison-Atlas, Laura Malaguzzi Valeri, Brian Murray, Jordan M. Malof
2022	J	`jnl`	GridTracer: Automatic Mapping of Power Grids Using Deep Learning and Overhead Imagery. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Bohao Huang, Jichen Yang, Artem Streltsov, Kyle Bradbury, Leslie M. Collins, Jordan M. Malof
2022	J	`jnl`	SIMPL: Generating Synthetic Overhead Imagery to Address Custom Zero-Shot and Few-Shot Detection Problems. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Yang Xu, Bohao Huang, Xiong Luo, Kyle Bradbury, Jordan M. Malof
2022	J	`jnl`	Self-Supervised Encoders Are Better Transfer Learners in Remote Sensing Applications. Remote. Sens. Zachary D. Calhoun, Saad Lahrichi, Simiao Ren, Jordan M. Malof, Kyle Bradbury
2022	J	`jnl`	Transformers For Recognition In Overhead Imagery: A Reality Check. CoRR Francesco Luzi, Aneesh Gupta, Leslie M. Collins, Kyle Bradbury, Jordan M. Malof
2022	J	`jnl`	Utilizing Geospatial Data for Assessing Energy Security: Mapping Small Solar Home Systems Using Unmanned Aerial Vehicles and Deep Learning. ISPRS Int. J. Geo Inf. Simiao Ren, Jordan M. Malof, Rob Fetter, Robert H. Beach, James Rineer, Kyle Bradbury
2021	J	`jnl`	GridTracer: Automatic Mapping of Power Grids using Deep Learning and Overhead Imagery. CoRR Bohao Huang, Jichen Yang, Artem Streltsov, Kyle Bradbury, Leslie M. Collins, Jordan M. Malof
2021	J	`jnl`	Randomized Histogram Matching: A Simple Augmentation for Unsupervised Domain Adaptation in Overhead Imagery. CoRR Can Yaris, Bohao Huang, Kyle Bradbury, Jordan M. Malof
2021	J	`jnl`	SIMPL: Generating Synthetic Overhead Imagery to Address Zero-shot and Few-Shot Detection Problems. CoRR Yang Xu, Bohao Huang, Xiong Luo, Kyle Bradbury, Jordan M. Malof
2021	C	`conf`	Wind Turbine Detection with Synthetic Overhead Imagery. IGARSS Wei Hu, Tyler Feldman, Yanchen Jessie Ou, Natalie Tarn, Baoyan Ye, Yang Xu, Jordan M. Malof, Kyle Bradbury
2020	C	`conf`	Designing Synthetic Overhead Imagery to Match a Target Geographic Region: Preliminary Results Training Deep Learning Models. IGARSS Varun Nair, Paul Rhee, Jichen Yang, Bohao Huang, Kyle Bradbury, Jordan M. Malof
2020	C	`conf`	Do Deep Learning Models Generalize to Overhead Imagery from Novel Geographic Domains? The xGD Benchmark Problem. IGARSS Bohao Huang, Kyle Bradbury, Leslie M. Collins, Jordan M. Malof
2020	C	`conf`	Mapping Electric Transmission Line Infrastructure from Aerial Imagery with Deep Learning. IGARSS Wei Hu, Ben Alexander, Wendell Cathcart, Atsushi Hu, Varun Nair, Lin Zuo, Jordan M. Malof, Leslie M. Collins, Kyle Bradbury
2020	A	`conf`	The Synthinel-1 dataset: a collection of high resolution synthetic overhead imagery for building segmentation. WACV Fanjie Kong, Bohao Huang, Kyle Bradbury, Jordan M. Malof
2020	J	`jnl`	The Synthinel-1 dataset: a collection of high resolution synthetic overhead imagery for building segmentation. CoRR Fanjie Kong, Bohao Huang, Kyle Bradbury, Jordan M. Malof
2019	C	`conf`	A simple rotational equivariance loss for generic convolutional segmentation networks: preliminary results. IGARSS Kangcheng Lin, Bohao Huang, Leslie M. Collins, Kyle Bradbury, Jordan M. Malof
2019	J	`jnl`	Mapping solar array location, size, and capacity using deep learning and overhead imagery. CoRR Jordan M. Malof, Boning Li, Bohao Huang, Kyle Bradbury, Artem Stretslov
2019	C	`conf`	Training a single multi-class convolutional segmentation network using multiple datasets with heterogeneous labels: preliminary results. IGARSS Fanjie Kong, Cheng Chen, Bohao Huang, Leslie M. Collins, Kyle Bradbury, Jordan M. Malof
2018	J	`jnl`	Application of a semantic segmentation convolutional neural network for accurate automatic detection and mapping of solar photovoltaic arrays in aerial imagery. CoRR Joseph A. Camilo, Rui Wang, Leslie M. Collins, Kyle Bradbury, Jordan M. Malof
2018	C	`conf`	Automated Building Energy Consumption Estimation from Aerial Imagery. IGARSS Artem Streltsov, Kyle Bradbury, Jordan M. Malof
2018	C	`conf`	Deep Convolutional Segmentation of Remote Sensing Imagery: A Simple and Efficient Alternative to Stitching Output Labels. IGARSS Bohao Huang, Leslie M. Collins, Kyle Bradbury, Jordan M. Malof
2018	J	`jnl`	Dense labeling of large remote sensing imagery with convolutional neural networks: a simple and faster alternative to stitching output label maps. CoRR Bohao Huang, Daniel Reichman, Leslie M. Collins, Kyle Bradbury, Jordan M. Malof
2018	C	`conf`	Large-Scale Semantic Classification: Outcome of the First Year of Inria Aerial Image Labeling Benchmark. IGARSS 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
2018	C	`conf`	On The Extraction of Training Imagery from Very Large Remote Sensing Datasets for Deep Convolutional Segmenatation Networks. IGARSS Bohao Huang, Daniel Reichman, Leslie M. Collins, Kyle Bradbury, Jordan M. Malof
2018	C	`conf`	Semisupervised Adversarial Discriminative Domain Adaptation, with Applicationto Remote Sensing Data. IGARSS Rui Wang, Leslie M. Collins, Kyle Bradbury, Jordan M. Malof
2017	C	`conf`	A deep convolutional neural network, with pre-training, for solar photovoltaic array detection in aerial imagery. IGARSS Jordan M. Malof, Leslie M. Collins, Kyle Bradbury
2017	C	`conf`	Estimating the electricity generation capacity of solar photovoltaic arrays using only color aerial imagery. IGARSS Brenda So, Cory Nezin, Vishnu Kaimal, Sam Keene, Leslie M. Collins, Kyle Bradbury, Jordan M. Malof
2017	—	`conf`	The poor generalization of deep convolutional networks to aerial imagery from new geographic locations: an empirical study with solar array detection. AIPR Rui Wang, Joseph A. Camilo, Leslie M. Collins, Kyle Bradbury, Jordan M. Malof
2017	—	`conf`	The poor generalization of deep convolutional networks to aerial imagery from new geographic locations: an empirical study with solar array detection. AIPR Rui Wang, Joseph A. Camilo, Leslie M. Collins, Kyle Bradbury, Jordan M. Malof
2017	—	`conf`	Trading spatial resolution for improved accuracy in remote sensing imagery: an empirical study using synthetic data. AIPR Jordan M. Malof, Sravya Chelikani, Leslie M. Collins, Kyle Bradbury
2017	C	`conf`	Trading spatial resolution for improved accuracy when using detection algorithms on remote sensing imagery. IGARSS Shengxin Qian, Sravya Chelikani, Patrick Wang, Leslie M. Collins, Kyle Bradbury, Jordan M. Malof
2016	J	`jnl`	Automatic Detection of Solar Photovoltaic Arrays in High Resolution Aerial Imagery. CoRR Jordan M. Malof, Kyle Bradbury, Leslie M. Collins, Richard G. Newell
2015	—	`conf`	Performance comparison framework for energy disaggregation systems. SmartGridComm Nicholas Czarnek, Kenneth Morton, Leslie M. Collins, Richard G. Newell, Kyle Bradbury