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Picture for Yoshihide Sekimoto

Yoshihide Sekimoto

The University of Tokyo, Japan

Global Road Damage Detection: State-of-the-art Solutions


Nov 17, 2020
Deeksha Arya, Hiroya Maeda, Sanjay Kumar Ghosh, Durga Toshniwal, Hiroshi Omata, Takehiro Kashiyama, Yoshihide Sekimoto

* 11 Pages, 2 Figures, 3 Tables 

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Transfer Learning-based Road Damage Detection for Multiple Countries


Aug 30, 2020
Deeksha Arya, Hiroya Maeda, Sanjay Kumar Ghosh, Durga Toshniwal, Alexander Mraz, Takehiro Kashiyama, Yoshihide Sekimoto

* 16 pages, 14 figures 

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City2City: Translating Place Representations across Cities


Nov 26, 2019
Takahiro Yabe, Kota Tsubouchi, Toru Shimizu, Yoshihide Sekimoto, Satish V. Ukkusuri

* A short 4-page version of this work was accepted in ACM SIGSPATIAL Conference 2019. This is the full version with details. In Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems. ACM 

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Congestion Analysis of Convolutional Neural Network-Based Pedestrian Counting Methods on Helicopter Footage


Nov 05, 2019
Gergely Csönde, Yoshihide Sekimoto, Takehiro Kashiyama

* 9 pages, 7 figures 

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Road Damage Detection Using Deep Neural Networks with Images Captured Through a Smartphone


Feb 02, 2018
Hiroya Maeda, Yoshihide Sekimoto, Toshikazu Seto, Takehiro Kashiyama, Hiroshi Omata

* 14 pages, 7 figures 

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