Bohao Huang

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 17

Top Topics

Histogram Matching

Top Venues

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.

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)
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)
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)
Can Yaris, Bohao Huang, Kyle Bradbury, Jordan M. Malof
Randomized Histogram Matching: A Simple Augmentation for Unsupervised Domain Adaptation in Overhead Imagery. CoRR (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)
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)
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)
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)
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)
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)
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)
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)