Hiroya Maeda - Concepedia

Author

Hiroya Maeda

The University of Tokyo ORCID

Also Known As

H. Maeda, Hiroya Maeda, Maeda, Hiroya

Publications

2.4K

Citations

H-Index

Concepts

All Affiliations

The University of Tokyo Indian Institute of Technology Roorkee

About

Hiroya Maeda is an author at The University of Tokyo specializing in engineering, image analysis, and computer vision.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	8	8	514
2	Health Sciences	1	1	19
3	Social Sciences	1	1	35
4	Applied Physics	1	1	19
5	Civil Engineering	1	1	35

Hiroya Maeda

Publications

2.3K

Citations

H-Index

Page 1

	Year	Citations
Road Damage Detection and Classification Using Deep Neural Networks with Smartphone Images Hiroya Maeda, Yoshihide Sekimoto, Toshikazu Seto, Computer-Aided Civil and Infrastructure Engineering	2018	775
Generative adversarial network for road damage detection Hiroya Maeda, Takehiro Kashiyama, Yoshihide Sekimoto, Computer-Aided Civil and Infrastructure Engineering	2020	306
Deep learning-based road damage detection and classification for multiple countries Deeksha Arya, Hiroya Maeda, Sanjay Kumar Ghosh, Automation in Construction Image AnalysisMachine LearningEngineeringRoad Traffic SafetyMultiple Countries	2021	260
Road Damage Detection Using Deep Neural Networks with Images Captured Through a Smartphone Hiroya Maeda, Yoshihide Sekimoto, Toshikazu Seto, arXiv (Cornell University)	2018	248
RDD2020: An annotated image dataset for automatic road damage detection using deep learning Deeksha Arya, Hiroya Maeda, Sanjay Kumar Ghosh, Data in Brief	2021	208
Global Road Damage Detection: State-of-the-art Solutions Deeksha Arya, Hiroya Maeda, Sanjay Kumar Ghosh,	2020	149
<scp>RDD2022</scp>: A multi‐national image dataset for automatic road damage detection Deeksha Arya, Hiroya Maeda, Sanjay Kumar Ghosh, Geoscience Data Journal Convolutional Neural NetworkEngineeringMachine LearningDisaster DetectionTraffic Injury	2024	81
Transfer Learning-based Road Damage Detection for Multiple Countries Deeksha Arya, Hiroya Maeda, Sanjay Kumar Ghosh, arXiv (Cornell University) Disaster DetectionMachine VisionMachine LearningData ScienceImage Analysis	2020	68
Crowdsensing-based Road Damage Detection Challenge (CRDDC’2022) Deeksha Arya, Hiroya Maeda, Sanjay Kumar Ghosh, 2022 IEEE International Conference on Big Data (Big Data)	2022	67
Lightweight road manager Hiroya Maeda, Yoshihide Sekimoto, Toshikazu Seto EngineeringSmart CityLarge VolumeInfrastructure ManagementSocial Sciences	2016	35

Page 1