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Hiroya Maeda
Hiroya Maeda
Verified email at iis.u-tokyo.ac.jp
Title
Cited by
Cited by
Year
Road damage detection and classification using deep neural networks with smartphone images
H Maeda, Y Sekimoto, T Seto, T Kashiyama, H Omata
Computer‐Aided Civil and Infrastructure Engineering 33 (12), 1127-1141, 2018
6272018
Road damage detection using deep neural networks with images captured through a smartphone
H Maeda, Y Sekimoto, T Seto, T Kashiyama, H Omata
arXiv preprint arXiv:1801.09454, 2018
2602018
Generative adversarial network for road damage detection
H Maeda, T Kashiyama, Y Sekimoto, T Seto, H Omata
Computer‐Aided Civil and Infrastructure Engineering 36 (1), 47-60, 2021
2042021
Deep learning-based road damage detection and classification for multiple countries
D Arya, H Maeda, SK Ghosh, D Toshniwal, A Mraz, T Kashiyama, ...
Automation in Construction 132, 103935, 2021
1182021
Global road damage detection: State-of-the-art solutions
D Arya, H Maeda, SK Ghosh, D Toshniwal, H Omata, T Kashiyama, ...
2020 IEEE International Conference on Big Data (Big Data), 5533-5539, 2020
1122020
RDD2020: An annotated image dataset for automatic road damage detection using deep learning
D Arya, H Maeda, SK Ghosh, D Toshniwal, Y Sekimoto
Data in brief 36, 107133, 2021
992021
Transfer learning-based road damage detection for multiple countries
D Arya, H Maeda, SK Ghosh, D Toshniwal, A Mraz, T Kashiyama, ...
arXiv preprint arXiv:2008.13101, 2020
952020
Rdd2022: A multi-national image dataset for automatic road damage detection
D Arya, H Maeda, SK Ghosh, D Toshniwal, Y Sekimoto
arXiv preprint arXiv:2209.08538, 2022
542022
Lightweight road manager: smartphone-based automatic determination of road damage status by deep neural network
H Maeda, Y Sekimoto, T Seto
Proceedings of the 5th ACM SIGSPATIAL international workshop on mobile …, 2016
542016
Crowdsensing-based road damage detection challenge (CRDDC’2022)
D Arya, H Maeda, SK Ghosh, D Toshniwal, H Omata, T Kashiyama, ...
2022 IEEE International Conference on Big Data (Big Data), 6378-6386, 2022
202022
Rdd2020: an image dataset for smartphone-based road damage detection and classification
D Arya, H Maeda, S Ghosh, D Toshniwal, H Omata, T Kashiyama, T Seto, ...
Mendel. Data 1, 2021
182021
Road damage detection using deep neural networks with images captured through a smartphone. arXiv 2018
H Maeda, Y Sekimoto, T Seto, T Kashiyama, H Omata
arXiv preprint arXiv:1801.09454, 2018
182018
Real-time citywide reconstruction of traffic flow from moving cameras on lightweight edge devices
A Kumar, T Kashiyama, H Maeda, H Omata, Y Sekimoto
ISPRS Journal of Photogrammetry and Remote Sensing 192, 115-129, 2022
172022
Citywide reconstruction of cross-sectional traffic flow from moving camera videos
A Kumar, T Kashiyama, H Maeda, Y Sekimoto
2021 IEEE International Conference on Big Data (Big Data), 1670-1678, 2021
152021
An easy infrastructure management method using on-board smartphone images and citizen reports by deep neural network
H Maeda, Y Sekimoto, T Seto
Proceedings of the Second International Conference on IoT in Urban Space …, 2016
82016
Citywide reconstruction of traffic flow using the vehicle-mounted moving camera in the carla driving simulator
A Kumar, T Kashiyama, H Maeda, H Omata, Y Sekimoto
2022 IEEE 25th International Conference on Intelligent Transportation …, 2022
52022
Development of a large-scale roadside facility detection model based on the Mapillary Dataset
Z Yang, C Zhao, H Maeda, Y Sekimoto
Sensors 22 (24), 9992, 2022
42022
Vehicle re-identification and trajectory reconstruction using multiple moving cameras in the CARLA driving simulator
A Kumar, T Kashiyama, H Maeda, F Zhang, H Omata, Y Sekimoto
2022 IEEE International Conference on Big Data (Big Data), 1858-1865, 2022
42022
Road Rutting Detection using Deep Learning on Images
PK Saha, D Arya, A Kumar, H Maeda, Y Sekimoto
2022 IEEE International Conference on Big Data (Big Data), 1362-1368, 2022
42022
Application of omental pedicle to tracheal allotransplantation: an experimental study using adult mongrel dogs
S Moriyama, N Shimizu, H Maeda, S Teramoto
Kyobu geka. The Japanese Journal of Thoracic Surgery 42 (13), 1084-1089, 1989
21989
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