Bohao Huang - RankMe

19 papers A 2C 7Journal 9

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	Learning Generalizable 3D Manipulation With 10 Demonstrations. IROS Yu Ren, Yang Cong, Bohao Huang, Jiahao Long, Ronghan Chen, Hongbo Li, Huijie Fan
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
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
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	—	`—`	Using Synthetic Satellite Imagery from Virtual Worlds to Train Deep Learning Models for Object Recognition. Bohao Huang
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	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	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