Bohao Huang
Orcid: 0000-0002-6658-4366
According to our database1,
Bohao Huang
authored at least 16 papers
between 2018 and 2024.
Collaborative distances:
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Bibliography
2024
Randomized Histogram Matching: A Simple Augmentation for Unsupervised Domain Adaptation in Overhead Imagery.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024
2022
SIMPL: Generating Synthetic Overhead Imagery to Address Custom Zero-Shot and Few-Shot Detection Problems.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022
GridTracer: Automatic Mapping of Power Grids Using Deep Learning and Overhead Imagery.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022
2021
Using Synthetic Satellite Imagery from Virtual Worlds to Train Deep Learning Models for Object Recognition.
PhD thesis, 2021
SIMPL: Generating Synthetic Overhead Imagery to Address Zero-shot and Few-Shot Detection Problems.
CoRR, 2021
Randomized Histogram Matching: A Simple Augmentation for Unsupervised Domain Adaptation in Overhead Imagery.
CoRR, 2021
2020
The Synthinel-1 dataset: a collection of high resolution synthetic overhead imagery for building segmentation.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020
Designing Synthetic Overhead Imagery to Match a Target Geographic Region: Preliminary Results Training Deep Learning Models.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020
Do Deep Learning Models Generalize to Overhead Imagery from Novel Geographic Domains? The xGD Benchmark Problem.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020
2019
Mapping solar array location, size, and capacity using deep learning and overhead imagery.
CoRR, 2019
A simple rotational equivariance loss for generic convolutional segmentation networks: preliminary results.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
Training a single multi-class convolutional segmentation network using multiple datasets with heterogeneous labels: preliminary results.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
2018
Dense labeling of large remote sensing imagery with convolutional neural networks: a simple and faster alternative to stitching output label maps.
CoRR, 2018
Large-Scale Semantic Classification: Outcome of the First Year of Inria Aerial Image Labeling Benchmark.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
Deep Convolutional Segmentation of Remote Sensing Imagery: A Simple and Efficient Alternative to Stitching Output Labels.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
On The Extraction of Training Imagery from Very Large Remote Sensing Datasets for Deep Convolutional Segmenatation Networks.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018