| 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 | 627 | 2018 |
| 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 | 260 | 2018 |
| 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 | 202 | 2021 |
| 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 | 54 | 2016 |
| Virtual Kyoto project: Digital diorama of the past, present, and future of the historical city of Kyoto T Nakaya, K Yano, Y Isoda, T Kawasumi, Y Takase, T Kirimura, ... Culture and computing: Computing and communication for crosscultural …, 2010 | 35 | 2010 |
| The association between higher nurse staffing standards in the fee schedules and the geographic distribution of hospital nurses: A cross-sectional study using nationwide … N Morioka, J Tomio, T Seto, Y Kobayashi BMC nursing 16, 1-10, 2017 | 30 | 2017 |
| My City Forecast: Urban planning communication tool for citizen with national open data Y Hasegawa, Y Sekimoto, T Seto, Y Fukushima, M Maeda Computers, Environment and Urban Systems 77, 101255, 2019 | 29 | 2019 |
| Association between local-level resources for home care and home deaths: a nationwide spatial analysis in Japan N Morioka, J Tomio, T Seto, Y Yumoto, Y Ogata, Y Kobayashi PLoS One 13 (8), e0201649, 2018 | 28 | 2018 |
| Real-time people movement estimation in large disasters from several kinds of mobile phone data Y Sekimoto, A Sudo, T Kashiyama, T Seto, H Hayashi, A Asahara, ... Proceedings of the 2016 ACM International Joint Conference on Pervasive and …, 2016 | 22 | 2016 |
| 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 | 18 | 2021 |
| 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 | 18 | 2018 |
| Trends in the geographic distribution of nursing staff before and after the Great East Japan Earthquake: a longitudinal study N Morioka, J Tomio, T Seto, Y Kobayashi Human resources for health 13, 1-14, 2015 | 10 | 2015 |
| Constructing a digital city on a web-3D platform: Simultaneous and consistent generation of metadata and tile data from a multi-source raw dataset T Seto, Y Sekimoto, K Asahi, T Endo Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Advances in …, 2020 | 9 | 2020 |
| Quality verification of volunteered geographic information using osm notes data in a global context T Seto, H Kanasugi, Y Nishimura ISPRS International Journal of Geo-Information 9 (6), 372, 2020 | 9 | 2020 |
| Spatiotemporal transition of volunteered geographic information as a response to crisis: A case study of the crisis mapping project at the time of great East Japan earthquake T Seto Papers and proceedings of the geographic information systems association 20, 4p, 2011 | 9 | 2011 |
| Virtual Kyoto: visualization of historical city with 4D–GIS, virtual reality and web technologies Y Takase, K Yano, T Nakaya, Y Isoda, T Kawasumi, K Matsuoka, T Seto, ... Int Arch Photogram Remote Sens Spat Inf Sci, 975, 2008 | 9 | 2008 |
| VGI contributors’ awareness of geographic information quality and its effect on data quality: a case study from Japan J Yamashita, T Seto, Y Nishimura, N Iwasaki International Journal of Cartography 5 (2-3), 214-224, 2019 | 8 | 2019 |
| 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 | 8 | 2016 |
| An analysis of factors influencing disaster mobility using location data from smartphones: Case study of western Japan flooding S Joo, T Kashiyama, Y Sekimoto, T Seto Journal of Disaster Research 14 (6), 903-911, 2019 | 7 | 2019 |
| Trends in citizen-generated and collaborative urban infrastructure feedback data: Toward citizen-oriented infrastructure management in Japan T Seto, Y Sekimoto ISPRS international journal of geo-information 8 (3), 115, 2019 | 7 | 2019 |
Yoshihide SekimotoUniversity of TokyoVerified email at iis.u-tokyo.ac.jp
