Yoshihide Sekimoto

ORCID

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 98

Top Venues

Publications

Santiago Garcia-Gabilondo, Yuya Shibuya, Yoshihide Sekimoto
Enhancing geospatial retail analysis by integrating synthetic human mobility simulations. Comput. Environ. Urban Syst. 108 (2024)
Yoshiki Ogawa, Ryoto Nakamura, Go Sato, Hiroya Maeda, Yoshihide Sekimoto
End-to-End Framework for the Automatic Matching of Omnidirectional Street Images and Building Data and the Creation of 3D Building Models. Remote. Sens. 16 (11) (2024)
Poonam Kumari Saha, Deeksha Arya, Yoshihide Sekimoto
Federated learning-based global road damage detection. Comput. Aided Civ. Infrastructure Eng. 39 (14) (2024)
Deeksha Arya, Hiroya Maeda, Yoshihide Sekimoto
From global challenges to local solutions: A review of cross-country collaborations and winning strategies in road damage detection. Adv. Eng. Informatics 60 (2024)
Chenbo Zhao, Yoshiki Ogawa, Shenglong Chen, Takuya Oki, Yoshihide Sekimoto
People Flow Trend Estimation Approach and Quantitative Explanation Based on the Scene Level Deep Learning of Street View Images. Remote. Sens. 15 (5) (2023)
Ashutosh Kumar, Tanvir Islam, Jue Ma, Takehiro Kashiyama, Yoshihide Sekimoto, Chris Mattmann
WindSR: Improving Spatial Resolution of Satellite Wind Speed Through Super-Resolution. IEEE Access 11 (2023)
Ling-Feng Liao, Deeksha Arya, Yoshihide Sekimoto
Unveiling the Road Matrix: Development of Versatile Pavement Surface Models from Low-resolution Aerial Images. BigData (2023)
Takahiro Yabe, Kota Tsubouchi, Toru Shimizu, Yoshihide Sekimoto, Kaoru Sezaki, Esteban Moro, Alex Pentland
Metropolitan Scale and Longitudinal Dataset of Anonymized Human Mobility Trajectories. CoRR (2023)
Kunyi Zhang, Yanbo Pang, Yoshihide Sekimoto
Deep Learning Approach to Logistics Trips Generation: Enhancing Pseudo People Flow with Agent-Based Modeling. ITSC (2023)
Yoshiki Ogawa, Chenbo Zhao, Takuya Oki, Shenglong Chen, Yoshihide Sekimoto
Deep Learning Approach for Classifying the Built Year and Structure of Individual Buildings by Automatically Linking Street View Images and GIS Building Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16 (2023)
Zhehui Yang, Deeksha Arya, Chenbo Zhao, Hiroya Maeda, Yoshihide Sekimoto
Are Utility Poles Within Sight? Unleashing the Power of Computer Vision for Effortless Roadside Management. ITSC (2023)
Chenbo Zhao, Yoshiki Ogawa, Shenglong Chen, Takuya Oki, Yoshihide Sekimoto
Quantitative land price analysis via computer vision from street view images. Eng. Appl. Artif. Intell. 123 (Part A) (2023)
Chenbo Zhao, Yoshiki Ogawa, Shenglong Chen, Zhehui Yang, Yoshihide Sekimoto
Label Freedom: Stable Diffusion for Remote Sensing Image Semantic Segmentation Data Generation. BigData (2023)
Deeksha Arya, Hiroya Maeda, Sanjay Kumar Ghosh, Durga Toshniwal, Hiroshi Omata, Takehiro Kashiyama, Yoshihide Sekimoto
Crowdsensing-based Road Damage Detection Challenge (CRDDC'2022). Big Data (2022)
Kento Kajiwara, Jue Ma, Toshikazu Seto, Yoshihide Sekimoto, Yoshiki Ogawa, Hiroshi Omata
Development of current estimated household data and agent-based simulation of the future population distribution of households in Japan. Comput. Environ. Urban Syst. 98 (2022)
Gergely Csönde, Yoshihide Sekimoto, Takehiro Kashiyama
Online real-time pedestrian tracking from medium altitude aerial footage with camera motion cancellation. Comput. Vis. Image Underst. 217 (2022)
Mingfei Cai, Yanbo Pang, Yoshihide Sekimoto
Spatial Attention Based Grid Representation Learning For Predicting Origin-Destination Flow. Big Data (2022)
Deeksha Arya, Hiroya Maeda, Sanjay Kumar Ghosh, Durga Toshniwal, Hiroshi Omata, Takehiro Kashiyama, Yoshihide Sekimoto
Crowdsensing-based Road Damage Detection Challenge (CRDDC-2022). CoRR (2022)
Shenglong Chen, Yoshiki Ogawa, Chenbo Zhao, Yoshihide Sekimoto
Large-Scale Building Footprint Extraction from Open-Sourced Satellite Imagery via Instance Segmentation Approach. IGARSS (2022)
Poonam Kumari Saha, Deeksha Arya, Ashutosh Kumar, Hiroya Maeda, Yoshihide Sekimoto
Road Rutting Detection using Deep Learning on Images. CoRR (2022)
Poonam Kumari Saha, Yoshihide Sekimoto
Road Damage Detection for Multiple Countries. Big Data (2022)
Zhehui Yang, Chenbo Zhao, Hiroya Maeda, Yoshihide Sekimoto
Development of a Large-Scale Roadside Facility Detection Model Based on the Mapillary Dataset. Sensors 22 (24) (2022)
Takehiro Kashiyama, Yanbo Pang, Yoshihide Sekimoto, Takahiro Yabe
Pseudo-PFLOW: Development of nationwide synthetic open dataset for people movement based on limited travel survey and open statistical data. CoRR (2022)
Kento Kajiwara, Jue Ma, Toshikazu Seto, Yoshihide Sekimoto, Yoshiki Ogawa, Hiroshi Omata
Development of current estimated household data and agent-based simulation of the future population distribution of households in Japan. CoRR (2022)
Ashutosh Kumar, Takehiro Kashiyama, Hiroya Maeda, Fan Zhang, Hiroshi Omata, Yoshihide Sekimoto
Vehicle re-identification and trajectory reconstruction using multiple moving cameras in the CARLA driving simulator. Big Data (2022)
Takahiro Yabe, Kota Tsubouchi, Yoshihide Sekimoto, Satish V. Ukkusuri
Early warning of COVID-19 hotspots using human mobility and web search query data. Comput. Environ. Urban Syst. 92 (2022)
Yanbo Pang, Yoshihide Sekimoto
Deep Learning for Destination Choice Modeling: A Fundamental Approach for National Level People Flow Reconstruction. Big Data (2022)
Aayush Tewari, Yanbo Pang, Yoshihide Sekimoto
Uncertainty of Traffic Congestion Estimation Using Nationwide Pseudo Trip Data and Agent-Based Simulation. Big Data (2022)
Zhehui Yang, Hiroya Maeda, Chenbo Zhao, Go Sato, Yoshihide Sekimoto
Vision-Based Traffic Sign Detection and Localization in Tokyo Metropolitan Area. ITSC (2022)
Deeksha Arya, Hiroya Maeda, Sanjay Kumar Ghosh, Durga Toshniwal, Yoshihide Sekimoto
RDD2022: A multi-national image dataset for automatic Road Damage Detection. CoRR (2022)
Poonam Kumari Saha, Gaurish Gangwar, Yoshihide Sekimoto, Yoshihiro Suda
Data Resampling and Ensemble Learning for Vehicle Class and Orientation Detection. Big Data (2022)
Chenbo Zhao, Yoshiki Ogawa, Shenglong Chen, Yoshihide Sekimoto
Scene Level People Flow Trend Prediction by Swin Transformer. IGARSS (2022)
Poonam Kumari Saha, Deeksha Arya, Ashutosh Kumar, Hiroya Maeda, Yoshihide Sekimoto
Road Rutting Detection using Deep Learning on Images. Big Data (2022)
Ashutosh Kumar, Takehiro Kashiyama, Hiroya Maeda, Hiroshi Omata, Yoshihide Sekimoto
Citywide reconstruction of traffic flow using the vehicle-mounted moving camera in the CARLA driving simulator. ITSC (2022)
Junko Ami, Kunihiro Ishii, Yoshihide Sekimoto, Hiroshi Masui, Ikki Ohmukai, Yasunori Yamamoto, Takashi Okumura
Computation of Infection Risk via Confidential Locational Entries: A Precedent Approach for Contact Tracing With Privacy Protection. IEEE Access 9 (2021)
Mingfei Cai, Yanbo Pang, Takehiro Kashiyama, Yoshihide Sekimoto
Simulating Human Mobility with Agent-based Modeling and Particle Filter Following Mobile Spatial Statistics. SIGSPATIAL/GIS (2021)
Yanbo Pang, Takehiro Kashiyama, Yoshihide Sekimoto
Development of a Reinforcement Learning based Agent Model and People Flow Data to Mega Metropolitan Area. IEEE BigData (2021)
Yoshiki Ogawa, Takuya Oki, Shenglong Chen, Yoshihide Sekimoto
Joining Street-View Images and Building Footprint GIS Data. GeoSearch@SIGSPATIAL (2021)
Hiroya Maeda, Takehiro Kashiyama, Yoshihide Sekimoto, Toshikazu Seto, Hiroshi Omata
Generative adversarial network for road damage detection. Comput. Aided Civ. Infrastructure Eng. 36 (1) (2021)
Ashutosh Kumar, Takehiro Kashiyama, Hiroya Maeda, Yoshihide Sekimoto
Citywide reconstruction of cross-sectional traffic flow from moving camera videos. IEEE BigData (2021)
Gergely Csönde, Yoshihide Sekimoto, Takehiro Kashiyama
Crowd Counting with Semantic Scene Segmentation in Helicopter Footage. Sensors 20 (17) (2020)
Deeksha Arya, Hiroya Maeda, Sanjay Kumar Ghosh, Durga Toshniwal, Alexander Mraz, Takehiro Kashiyama, Yoshihide Sekimoto
Transfer Learning-based Road Damage Detection for Multiple Countries. CoRR (2020)
Toshikazu Seto, Yoshihide Sekimoto, Kosuke Asahi, Takahiro Endo
Constructing a digital city on a web-3D platform: simultaneous and consistent generation of metadata and tile data from a multi-source raw dataset. ARIC@SIGSPATIAL (2020)
Alexander Mraz, Yoshihide Sekimoto, Takehiro Kashiyama, Hiroya Maeda
Development of the Localized Road Damage Detection Model Using Deep Neural Network. SSIP (2020)
Takehiro Kashiyama, Hideaki Sobue, Yoshihide Sekimoto
Sky Monitoring System for Flying Object Detection Using 4K Resolution Camera. Sensors 20 (24) (2020)
Yanbo Pang, Kota Tsubouchi, Takahiro Yabe, Yoshihide Sekimoto
Intercity Simulation of Human Mobility at Rare Events via Reinforcement Learning. SIGSPATIAL/GIS (2020)
Deeksha Arya, Hiroya Maeda, Sanjay Kumar Ghosh, Durga Toshniwal, Hiroshi Omata, Takehiro Kashiyama, Yoshihide Sekimoto
Global Road Damage Detection: State-of-the-art Solutions. CoRR (2020)
Deeksha Arya, Hiroya Maeda, Sanjay Kumar Ghosh, Durga Toshniwal, Hiroshi Omata, Takehiro Kashiyama, Yoshihide Sekimoto
Global Road Damage Detection: State-of-the-art Solutions. IEEE BigData (2020)
Takehiro Kashiyama, Yoshihide Sekimoto, Toshikazu Seto, Ko Ko Lwin
Analyzing Road Coverage of Public Vehicles According to Number and Time Period for Installation of Road Inspection Systems. ISPRS Int. J. Geo Inf. 9 (3) (2020)
Takahiro Yabe, Kota Tsubouchi, Toru Shimizu, Yoshihide Sekimoto, Satish V. Ukkusuri
Unsupervised Translation via Hierarchical Anchoring: Functional Mapping of Places across Cities. KDD (2020)
Takahiro Yabe, Kota Tsubouchi, Toru Shimizu, Yoshihide Sekimoto, Satish V. Ukkusuri
City2City: Translating Place Representations across Cities. CoRR (2019)
Gergely Csönde, Yoshihide Sekimoto, Takehiro Kashiyama
Congestion Analysis of Convolutional Neural Network-Based Pedestrian Counting Methods on Helicopter Footage. CoRR (2019)
Toshikazu Seto, Yoshihide Sekimoto
Trends in Citizen-Generated and Collaborative Urban Infrastructure Feedback Data: Toward Citizen-Oriented Infrastructure Management in Japan. ISPRS Int. J. Geo Inf. 8 (3) (2019)
Shinya Yasumoto, Andrew P. Jones, Kei Oyoshi, Hiroshi Kanasugi, Yoshihide Sekimoto, Ryosuke Shibasaki, Alexis J. Comber, Chiho Watanabe
Heat exposure assessment based on individual daily mobility patterns in Dhaka, Bangladesh. Comput. Environ. Urban Syst. 77 (2019)
Takahiro Yabe, Kota Tsubouchi, Toru Shimizu, Yoshihide Sekimoto, Satish V. Ukkusuri
City2City: Translating Place Representations across Cities. SIGSPATIAL/GIS (2019)
Ko Ko Lwin, Yoshihide Sekimoto, Wataru Takeuchi, Koji Zettsu
City Geospatial Dashboard: IoT and Big Data Analytics for Geospatial Solutions Provider in Disaster Management. ICT-DM (2019)
Takahiro Yabe, Kota Tsubouchi, Naoya Fujiwara, Yoshihide Sekimoto, Satish V. Ukkusuri
Universality of population recovery patterns after disasters. CoRR (2019)
Takahiro Yabe, Kota Tsubouchi, Toru Shimizu, Yoshihide Sekimoto, Satish V. Ukkusuri
Predicting Evacuation Decisions using Representations of Individuals' Pre-Disaster Web Search Behavior. CoRR (2019)
Yoko Hasegawa, Yoshihide Sekimoto, Toshikazu Seto, Yuki Fukushima, Midori Maeda
My City Forecast: Urban planning communication tool for citizen with national open data. Comput. Environ. Urban Syst. 77 (2019)
Yoshiki Ogawa, Yuki Akiyama, Yoshihide Sekimoto, Ryosuke Shibasaki
Estimation of Transactional Network Data Between Branch Offices using Transactional Big Data Throughout Japan. IEEE BigData (2019)
Soo-hyun Joo, Yoshiki Ogawa, Yoshihide Sekimoto
Decision-Making System for Road-Recovery Considering Human Mobility by Applying Deep Q-Network. IEEE BigData (2019)
Tandang Yuliadi Dwi Putra, Yoshihide Sekimoto, Ryosuke Shibasaki
Toward the Evolution of National Spatial Data Infrastructure Development in Indonesia. ISPRS Int. J. Geo Inf. 8 (6) (2019)
Takahiro Yabe, Kota Tsubouchi, Toru Shimizu, Yoshihide Sekimoto, Satish V. Ukkusuri
Predicting Evacuation Decisions using Representations of Individuals' Pre-Disaster Web Search Behavior. KDD (2019)
Yoshiki Ogawa, Yuki Akiyama, Yoshihide Sekimoto, Ryosuke Shibasaki
Earthquake Damage Estimation by Sparse Modeling Using Geospatial Big Data. IGARSS (2019)
Santi Phithakkitnukoon, Teerayut Horanont, Sourav Bhattacharya, Yoshihide Sekimoto
PURBA 2019: the 8th workshop on pervasive urban applications. UbiComp/ISWC Adjunct (2019)
Ko Ko Lwin, Yoshihide Sekimoto, Wataru Takeuchi
Estimation of Hourly Link Population and Flow Directions from Mobile CDR. ISPRS Int. J. Geo Inf. 7 (11) (2018)
Mohamed Batran, Hiroshi Kanasugi, Takehiro Kashiyama, Yoshihide Sekimoto, Ryosuke Shibasaki
Sensing Population Mobility through City Boundary in Greater Maputo via Mobile Phone Big Data Mining. SERVICES (2018)
Yanbo Pang, Kota Tsubouchi, Takahiro Yabe, Yoshihide Sekimoto
Replicating urban dynamics by generating human-like agents from smartphone GPS data. SIGSPATIAL/GIS (2018)
Takahiro Yabe, Kota Tsubouchi, Yoshihide Sekimoto
Fusion of Terrain Information and Mobile Phone Location Data for Flood Area Detection in Rural Areas. IEEE BigData (2018)
Akihito Sudo, Yoshihide Sekimoto, Lau Honng Chuin, Xuan Song, Takahiro Yabe
Predictgis 2018 workshop report held in conjunction with ACM SIGSPATIAL 2018. ACM SIGSPATIAL Special 10 (3) (2018)
Takahiro Yabe, Yoshihide Sekimoto, Kota Tsubouchi, Satoshi Ikemoto
Cross-comparative analysis of evacuation behavior after earthquakes using mobile phone data. CoRR (2018)
Hiroya Maeda, Yoshihide Sekimoto, Toshikazu Seto, Takehiro Kashiyama, Hiroshi Omata
Road Damage Detection and Classification Using Deep Neural Networks with Smartphone Images. Comput. Aided Civ. Infrastructure Eng. 33 (12) (2018)
Ko Ko Lwin, Yoshihide Sekimoto
Mapping the Spatial Distribution Patterns of Personal Time Spent Based on Trip Purpose. Int. J. Appl. Geospat. Res. 9 (2) (2018)
Mohamed Batran, Mariano Gregorio Mejia, Hiroshi Kanasugi, Yoshihide Sekimoto, Ryosuke Shibasaki
Inferencing Human Spatiotemporal Mobility in Greater Maputo via Mobile Phone Big Data Mining. ISPRS Int. J. Geo Inf. 7 (7) (2018)
Mitsuaki Obara, Takehiro Kashiyama, Yoshihide Sekimoto
Deep Reinforcement Learning Approach for Train Rescheduling Utilizing Graph Theory. IEEE BigData (2018)
Santi Phithakkitnukoon, Teerayut Horanont, Sourav Bhattacharya, Yoshihide Sekimoto
PURBA 2018: The 7th Workshop on Pervasive Urban Applications. UbiComp/ISWC Adjunct (2018)
Mohamed Batran, Ayumi Arai, Hiroshi Kanasugi, Silvino Cumbane, Cecilio Grachane, Yoshihide Sekimoto, Ryosuke Shibasaki
Urban Travel Time Estimation in Greater Maputo Using Mobile Phone Big Data. CBI (2) (2018)
Mohamed Batran, Mariano Gregorio Mejia, Yoshihide Sekimoto, Ryosuke Shibasaki
Inference of Human Spatiotemporal Mobility in Greater Maputo by Mobile Phone Big Data Mining. ATT@IJCAI (2018)
Hiroya Maeda, Yoshihide Sekimoto, Toshikazu Seto, Takehiro Kashiyama, Hiroshi Omata
Road Damage Detection Using Deep Neural Networks with Images Captured Through a Smartphone. CoRR (2018)
Santi Phithakkitnukoon, Teerayut Horanont, Sourav Bhattacharya, Yoshihide Sekimoto
PURBA 2017: the 6th workshop on pervasive urban applications. UbiComp/ISWC Adjunct (2017)
Takahiro Yabe, Kota Tsubouchi, Yoshihide Sekimoto
CityFlowFragility: Measuring the Fragility of People Flow in Cities to Disasters using GPS Data Collected from Smartphones. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 1 (3) (2017)
Hideaki Sobue, Yuki Fukushima, Takahiro Kashiyama, Yoshihide Sekimoto
Flying Object Detection and Classification by Monitoring Using Video Images. SIGSPATIAL/GIS (2017)
Akihito Sudo, Takahiro Yabe, Yoshihide Sekimoto
PredictGIS 2017 workshop report held in conjunction with ACM SIGSPATIAL 2017. ACM SIGSPATIAL Special 9 (3) (2017)
Yanbo Pang, Kota Tsubouchi, Takahiro Yabe, Yoshihide Sekimoto
Modeling and reproducing human daily travel behavior from GPS data: A Markov Decision Process approach. PredictGIS@SIGSPATIAL (2017)
Akihito Sudo, Teck-Hou Teng, Hoong Chuin Lau, Yoshihide Sekimoto
Predicting Indoor Crowd Density using Column-Structured Deep Neural Network. PredictGIS@SIGSPATIAL (2017)
Xuan Song, Quanshi Zhang, Yoshihide Sekimoto, Ryosuke Shibasaki, Nicholas Jing Yuan, Xing Xie
Prediction and Simulation of Human Mobility Following Natural Disasters. ACM Trans. Intell. Syst. Technol. 8 (2) (2017)
Hiroya Maeda, Yoshihide Sekimoto, Toshikazu Seto, Takehiro Kashiyama, Hiroshi Omata
Extraction of Road Maintenance Criteria using Machine Learning and Spatial Information. UrbanGIS@SIGSPATIAL (2017)
Hiroya Maeda, Yoshihide Sekimoto, Toshikazu Seto
Lightweight road manager: smartphone-based automatic determination of road damage status by deep neural network. MobiGIS (2016)
Hiroya Maeda, Yoshihide Sekimoto, Toshikazu Seto
An Easy Infrastructure Management Method Using On-Board Smartphone Images and Citizen Reports by Deep Neural Network. Urb-IoT (2016)
Akihito Sudo, Takehiro Kashiyama, Takahiro Yabe, Hiroshi Kanasugi, Xuan Song, Tomoyuki Higuchi, Shin'ya Nakano, Masaya M. Saito, Yoshihide Sekimoto
Particle filter for real-time human mobility prediction following unprecedented disaster. SIGSPATIAL/GIS (2016)
Santi Phithakkitnukoon, Teerayut Horanont, Sourav Bhattacharya, Yoshihide Sekimoto
PURBA 2016: the 5th workshop on pervasive urban applications. UbiComp Adjunct (2016)
Yoshihide Sekimoto, Akihito Sudo, Takehiro Kashiyama, Toshikazu Seto, Hideki Hayashi, Akinori Asahara, Hiroki Ishizuka, Satoshi Nishiyama
Real-time people movement estimation in large disasters from several kinds of mobile phone data. UbiComp Adjunct (2016)
Takahiro Yabe, Kota Tsubouchi, Akihito Sudo, Yoshihide Sekimoto
A framework for evacuation hotspot detection after large scale disasters using location data from smartphones: case study of Kumamoto earthquake. SIGSPATIAL/GIS (2016)
Takahiro Yabe, Kota Tsubouchi, Akihito Sudo, Yoshihide Sekimoto
Predicting irregular individual movement following frequent mid-level disasters using location data from smartphones. SIGSPATIAL/GIS (2016)
Santi Phithakkitnukoon, Teerayut Horanont, Sourav Bhattacharya, Yoshihide Sekimoto
PURBA 2015: the 4th workshop on pervasive urban applications. UbiComp/ISWC Adjunct (2015)
Takuya Kanno, Hiroshi Kanasugi, Yoshihide Sekimoto, Ryosuke Shibasaki
Real-time passenger location estimation using CDRs and train objects generated from crowdsourced timetables. UbiComp/ISWC Adjunct (2015)
Santi Phithakkitnukoon, Teerayut Horanont, Apichon Witayangkurn, Raktida Siri, Yoshihide Sekimoto, Ryosuke Shibasaki
Understanding tourist behavior using large-scale mobile sensing approach: A case study of mobile phone users in Japan. Pervasive Mob. Comput. 18 (2015)
Xuan Song, Quanshi Zhang, Yoshihide Sekimoto, Ryosuke Shibasaki, Nicholas Jing Yuan, Xing Xie
A Simulator of Human Emergency Mobility Following Disasters: Knowledge Transfer from Big Disaster Data. AAAI (2015)
Xuan Song, Quanshi Zhang, Yoshihide Sekimoto, Ryosuke Shibasaki
Prediction of human emergency behavior and their mobility following large-scale disaster. KDD (2014)
Xuan Song, Quanshi Zhang, Yoshihide Sekimoto, Ryosuke Shibasaki
Intelligent System for Urban Emergency Management during Large-Scale Disaster. AAAI (2014)

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Publication Activity (10 Years)

Top Topics

Top Venues

Yoshihide Sekimoto