PFlow: Reconstructing People Flow Recycling Large-Scale Social Survey Data. - Yoshihide Sekimoto; Ryosuke Shibasaki; Hiroshi Kanasugi; Tomotaka Usui; Yasunobu Shimazaki (IEEE Pervasive Comput., 2011)

Lightweight lane positioning of vehicles using a smartphone GPS by monitoring the distance from the center line. - Yoshihide Sekimoto; Yutaka Matsubayashi; Harutoshi Yamada; Ryuichi Imai; Tomotaka Usui; Hiroshi Kanasugi (ITSC, 2012)

Anomalous event detection on large-scale GPS data from mobile phones using hidden markov model and cloud platform. - Apichon Witayangkurn; Teerayut Horanont; Yoshihide Sekimoto; Ryosuke Shibasaki (UbiComp (Adjunct Publication), 2013)

Modeling and probabilistic reasoning of population evacuation during large-scale disaster. - Xuan Song 001; Quanshi Zhang; Yoshihide Sekimoto; Teerayut Horanont; Satoshi Ueyama; Ryosuke Shibasaki (KDD, 2013)

Spatiotemporal route estimation consistent with human mobility using cellular network data. - Hiroshi Kanasugi; Yoshihide Sekimoto; Mori Kurokawa; Takafumi Watanabe; Shigeki Muramatsu; Ryosuke Shibasaki (PerCom Workshops, 2013)

Large-Scale Auto-GPS Analysis for Discerning Behavior Change during Crisis. - Teerayut Horanont; Apichon Witayangkurn; Yoshihide Sekimoto; Ryosuke Shibasaki (IEEE Intell. Syst., 2013)

Intelligent System for Human Behavior Analysis and Reasoning Following Large-Scale Disasters. - Xuan Song 001; Quanshi Zhang; Yoshihide Sekimoto; Teerayut Horanont; Satoshi Ueyama; Ryosuke Shibasaki (IEEE Intell. Syst., 2013)

Combination of spatio-temporal correction methods using traffic survey data for reconstruction of people flow. - Yoshihide Sekimoto; Atsuto Watanabe; Toshikazu Nakamura; Hiroshi Kanasugi; Tomotaka Usui (Pervasive Mob. Comput., 2013)

Intelligent System for Urban Emergency Management during Large-Scale Disaster. - Xuan Song 001; Quanshi Zhang; Yoshihide Sekimoto; Ryosuke Shibasaki (AAAI, 2014)

Prediction of human emergency behavior and their mobility following large-scale disaster. - Xuan Song 001; Quanshi Zhang; Yoshihide Sekimoto; Ryosuke Shibasaki (KDD, 2014)

Transportation melting pot Dhaka: road-link based traffic volume estimation from sparse CDR data. - Yoko Hasegawa; Yoshihide Sekimoto; Takehiro Kashiyama; Hiroshi Kanasugi (Urb-IoT, 2014)

A Simulator of Human Emergency Mobility Following Disasters: Knowledge Transfer from Big Disaster Data. - Xuan Song 001; Quanshi Zhang; Yoshihide Sekimoto; Ryosuke Shibasaki; Nicholas Jing Yuan; Xing Xie 001 (AAAI, 2015)

Real-time passenger location estimation using CDRs and train objects generated from crowdsourced timetables. - Takuya Kanno; Hiroshi Kanasugi; Yoshihide Sekimoto; Ryosuke Shibasaki (UbiComp/ISWC Adjunct, 2015)

PURBA 2015: the 4th workshop on pervasive urban applications. - Santi Phithakkitnukoon; Teerayut Horanont; Sourav Bhattacharya; Yoshihide Sekimoto (UbiComp/ISWC Adjunct, 2015)

Understanding tourist behavior using large-scale mobile sensing approach: A case study of mobile phone users in Japan. - Santi Phithakkitnukoon; Teerayut Horanont; Apichon Witayangkurn; Raktida Siri; Yoshihide Sekimoto; Ryosuke Shibasaki (Pervasive Mob. Comput., 2015)

Lightweight road manager: smartphone-based automatic determination of road damage status by deep neural network. - Hiroya Maeda; Yoshihide Sekimoto; Toshikazu Seto (MobiGIS, 2016)

Particle filter for real-time human mobility prediction following unprecedented disaster. - Akihito Sudo; Takehiro Kashiyama; Takahiro Yabe; Hiroshi Kanasugi; Xuan Song 001; Tomoyuki Higuchi; Shin'ya Nakano; Masaya M. Saito; Yoshihide Sekimoto (SIGSPATIAL/GIS, 2016)

A framework for evacuation hotspot detection after large scale disasters using location data from smartphones: case study of Kumamoto earthquake. - Takahiro Yabe; Kota Tsubouchi; Akihito Sudo; Yoshihide Sekimoto (SIGSPATIAL/GIS, 2016)

Predicting irregular individual movement following frequent mid-level disasters using location data from smartphones. - Takahiro Yabe; Kota Tsubouchi; Akihito Sudo; Yoshihide Sekimoto (SIGSPATIAL/GIS, 2016)

PURBA 2016: the 5th workshop on pervasive urban applications. - Santi Phithakkitnukoon; Teerayut Horanont; Sourav Bhattacharya; Yoshihide Sekimoto (UbiComp Adjunct, 2016)

Real-time people movement estimation in large disasters from several kinds of mobile phone data. - Yoshihide Sekimoto; Akihito Sudo; Takehiro Kashiyama; Toshikazu Seto; Hideki Hayashi; Akinori Asahara; Hiroki Ishizuka; Satoshi Nishiyama (UbiComp Adjunct, 2016)

An Easy Infrastructure Management Method Using On-Board Smartphone Images and Citizen Reports by Deep Neural Network. - Hiroya Maeda; Yoshihide Sekimoto; Toshikazu Seto (Urb-IoT, 2016)

Extraction of Road Maintenance Criteria using Machine Learning and Spatial Information. - Hiroya Maeda; Yoshihide Sekimoto; Toshikazu Seto; Takehiro Kashiyama; Hiroshi Omata (UrbanGIS@SIGSPATIAL, 2017)

Modeling and reproducing human daily travel behavior from GPS data: A Markov Decision Process approach. - Yanbo Pang; Kota Tsubouchi; Takahiro Yabe; Yoshihide Sekimoto (PredictGIS@SIGSPATIAL, 2017)

Flying Object Detection and Classification by Monitoring Using Video Images. - Hideaki Sobue; Yuki Fukushima; Takahiro Kashiyama; Yoshihide Sekimoto (SIGSPATIAL/GIS, 2017)

Predicting Indoor Crowd Density using Column-Structured Deep Neural Network. - Akihito Sudo; Teck-Hou Teng; Hoong Chuin Lau; Yoshihide Sekimoto (PredictGIS@SIGSPATIAL, 2017)

PURBA 2017: the 6th workshop on pervasive urban applications. - Santi Phithakkitnukoon; Teerayut Horanont; Sourav Bhattacharya; Yoshihide Sekimoto (UbiComp/ISWC Adjunct, 2017)

CityFlowFragility: Measuring the Fragility of People Flow in Cities to Disasters using GPS Data Collected from Smartphones. - Takahiro Yabe; Kota Tsubouchi; Yoshihide Sekimoto (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017)

PredictGIS 2017 workshop report held in conjunction with ACM SIGSPATIAL 2017. - Akihito Sudo; Takahiro Yabe; Yoshihide Sekimoto (ACM SIGSPATIAL Special, 2017)

Prediction and Simulation of Human Mobility Following Natural Disasters. - Xuan Song 001; Quanshi Zhang; Yoshihide Sekimoto; Ryosuke Shibasaki; Nicholas Jing Yuan; Xing Xie 001 (ACM Trans. Intell. Syst. Technol., 2017)

Developing a Model for Estimating the Home Return of Evacuees Based on the 2011 Tohoku Earthquake Tsunami - Utilizing Mobile Phone GPS Big Data. - Yoshiki Ogawa; Taisei Sato; Yuki Akiyama; Ryosuke Shibasaki; Yoshihide Sekimoto (Advances and New Trends in Environmental Informatics, 2018)

Deep Reinforcement Learning Approach for Train Rescheduling Utilizing Graph Theory. - Mitsuaki Obara; Takehiro Kashiyama; Yoshihide Sekimoto (IEEE BigData, 2018)

Fusion of Terrain Information and Mobile Phone Location Data for Flood Area Detection in Rural Areas. - Takahiro Yabe; Kota Tsubouchi; Yoshihide Sekimoto (IEEE BigData, 2018)

Replicating urban dynamics by generating human-like agents from smartphone GPS data. - Yanbo Pang; Kota Tsubouchi; Takahiro Yabe; Yoshihide Sekimoto (SIGSPATIAL/GIS, 2018)

PURBA 2018: The 7th Workshop on Pervasive Urban Applications. - Santi Phithakkitnukoon; Teerayut Horanont; Sourav Bhattacharya; Yoshihide Sekimoto (UbiComp/ISWC Adjunct, 2018)

Inference of Human Spatiotemporal Mobility in Greater Maputo by Mobile Phone Big Data Mining. - Mohamed Batran; Mariano Gregorio Mejia; Yoshihide Sekimoto; Ryosuke Shibasaki (ATT@IJCAI, 2018)

Sensing Population Mobility through City Boundary in Greater Maputo via Mobile Phone Big Data Mining. - Mohamed Batran; Hiroshi Kanasugi; Takehiro Kashiyama; Yoshihide Sekimoto; Ryosuke Shibasaki (SERVICES, 2018)

Urban Travel Time Estimation in Greater Maputo Using Mobile Phone Big Data. - Mohamed Batran; Ayumi Arai; Hiroshi Kanasugi; Silvino Pedro Cumbane; Cecilio Grachane; Yoshihide Sekimoto; Ryosuke Shibasaki (CBI (2), 2018)

Road Damage Detection and Classification Using Deep Neural Networks with Smartphone Images. - Hiroya Maeda; Yoshihide Sekimoto; Toshikazu Seto; Takehiro Kashiyama; Hiroshi Omata (Comput. Aided Civ. Infrastructure Eng., 2018)

Road Damage Detection Using Deep Neural Networks with Images Captured Through a Smartphone. - Hiroya Maeda; Yoshihide Sekimoto; Toshikazu Seto; Takehiro Kashiyama; Hiroshi Omata (CoRR, 2018)

Cross-comparative analysis of evacuation behavior after earthquakes using mobile phone data. - Takahiro Yabe; Yoshihide Sekimoto; Kota Tsubouchi; Satoshi Ikemoto (CoRR, 2018)

Mapping the Spatial Distribution Patterns of Personal Time Spent Based on Trip Purpose. - Ko Ko Lwin; Yoshihide Sekimoto (Int. J. Appl. Geospat. Res., 2018)

Inferencing Human Spatiotemporal Mobility in Greater Maputo via Mobile Phone Big Data Mining. - Mohamed Batran; Mariano Gregorio Mejia; Hiroshi Kanasugi; Yoshihide Sekimoto; Ryosuke Shibasaki (ISPRS Int. J. Geo Inf., 2018)

Estimation of Hourly Link Population and Flow Directions from Mobile CDR. - Ko Ko Lwin; Yoshihide Sekimoto; Wataru Takeuchi (ISPRS Int. J. Geo Inf., 2018)

Predictgis 2018 workshop report held in conjunction with ACM SIGSPATIAL 2018. - Akihito Sudo; Yoshihide Sekimoto; Lau Honng Chuin; Xuan Song 001; Takahiro Yabe (ACM SIGSPATIAL Special, 2018)

Decision-Making System for Road-Recovery Considering Human Mobility by Applying Deep Q-Network. - Soo-hyun Joo; Yoshiki Ogawa; Yoshihide Sekimoto (IEEE BigData, 2019)

Estimation of Transactional Network Data Between Branch Offices using Transactional Big Data Throughout Japan. - Yoshiki Ogawa; Yuki Akiyama; Yoshihide Sekimoto; Ryosuke Shibasaki (IEEE BigData, 2019)

City2City: Translating Place Representations across Cities. - Takahiro Yabe; Kota Tsubouchi; Toru Shimizu; Yoshihide Sekimoto; Satish V. Ukkusuri (SIGSPATIAL/GIS, 2019)

PURBA 2019: the 8th workshop on pervasive urban applications. - Santi Phithakkitnukoon; Teerayut Horanont; Sourav Bhattacharya; Yoshihide Sekimoto (UbiComp/ISWC Adjunct, 2019)

City Geospatial Dashboard: IoT and Big Data Analytics for Geospatial Solutions Provider in Disaster Management. - Ko Ko Lwin; Yoshihide Sekimoto; Wataru Takeuchi; Koji Zettsu (ICT-DM, 2019)

Earthquake Damage Estimation by Sparse Modeling Using Geospatial Big Data. - Yoshiki Ogawa; Yuki Akiyama; Yoshihide Sekimoto; Ryosuke Shibasaki (IGARSS, 2019)

Predicting Evacuation Decisions using Representations of Individuals' Pre-Disaster Web Search Behavior. - Takahiro Yabe; Kota Tsubouchi; Toru Shimizu; Yoshihide Sekimoto; Satish V. Ukkusuri (KDD, 2019)

Universality of population recovery patterns after disasters. - Takahiro Yabe; Kota Tsubouchi; Naoya Fujiwara; Yoshihide Sekimoto; Satish V. Ukkusuri (CoRR, 2019)

Congestion Analysis of Convolutional Neural Network-Based Pedestrian Counting Methods on Helicopter Footage. - Gergely Csönde; Yoshihide Sekimoto; Takehiro Kashiyama (CoRR, 2019)

Toward the Evolution of National Spatial Data Infrastructure Development in Indonesia. - Tandang Yuliadi Dwi Putra; Yoshihide Sekimoto; Ryosuke Shibasaki (ISPRS Int. J. Geo Inf., 2019)

Trends in Citizen-Generated and Collaborative Urban Infrastructure Feedback Data: Toward Citizen-Oriented Infrastructure Management in Japan. - Toshikazu Seto; Yoshihide Sekimoto (ISPRS Int. J. Geo Inf., 2019)

My City Forecast: Urban planning communication tool for citizen with national open data. - Yoko Hasegawa; Yoshihide Sekimoto; Toshikazu Seto; Yuki Fukushima; Midori Maeda (Comput. Environ. Urban Syst., 2019)

Heat exposure assessment based on individual daily mobility patterns in Dhaka, Bangladesh. - Shinya Yasumoto; Andrew P. Jones; Kei Oyoshi; Hiroshi Kanasugi; Yoshihide Sekimoto; Ryosuke Shibasaki; Alexis J. Comber; Chiho Watanabe (Comput. Environ. Urban Syst., 2019)

Creation of a Model for Estimating the Home-return Rate of Evacuees Using Mobile Phone Movement Histories and Its Application to the Nankai Trough Earthquake. - Yoshiki Ogawa; Taisei Sato; Yoshihide Sekimoto (AGILE Conf., 2020)

Global Road Damage Detection: State-of-the-art Solutions. - Deeksha Arya; Hiroya Maeda; Sanjay Kumar Ghosh; Durga Toshniwal; Hiroshi Omata; Takehiro Kashiyama; Yoshihide Sekimoto (IEEE BigData, 2020)

Intercity Simulation of Human Mobility at Rare Events via Reinforcement Learning. - Yanbo Pang; Kota Tsubouchi; Takahiro Yabe; Yoshihide Sekimoto (SIGSPATIAL/GIS, 2020)

Constructing a digital city on a web-3D platform: simultaneous and consistent generation of metadata and tile data from a multi-source raw dataset. - Toshikazu Seto; Yoshihide Sekimoto; Kosuke Asahi; Takahiro Endo (ARIC@SIGSPATIAL, 2020)

Unsupervised Translation via Hierarchical Anchoring: Functional Mapping of Places across Cities. - Takahiro Yabe; Kota Tsubouchi; Toru Shimizu; Yoshihide Sekimoto; Satish V. Ukkusuri (KDD, 2020)

Development of the Localized Road Damage Detection Model Using Deep Neural Network. - Alexander Mraz; Yoshihide Sekimoto; Takehiro Kashiyama; Hiroya Maeda (SSIP, 2020)

Transfer Learning-based Road Damage Detection for Multiple Countries. - Deeksha Arya; Hiroya Maeda; Sanjay Kumar Ghosh; Durga Toshniwal; Alexander Mraz; Takehiro Kashiyama; Yoshihide Sekimoto (CoRR, 2020)

Analyzing Road Coverage of Public Vehicles According to Number and Time Period for Installation of Road Inspection Systems. - Takehiro Kashiyama; Yoshihide Sekimoto; Toshikazu Seto; Ko Ko Lwin (ISPRS Int. J. Geo Inf., 2020)

Crowd Counting with Semantic Scene Segmentation in Helicopter Footage. - Gergely Csönde; Yoshihide Sekimoto; Takehiro Kashiyama (Sensors, 2020)

Sky Monitoring System for Flying Object Detection Using 4K Resolution Camera. - Takehiro Kashiyama; Hideaki Sobue; Yoshihide Sekimoto (Sensors, 2020)

Citywide reconstruction of cross-sectional traffic flow from moving camera videos. - Ashutosh Kumar; Takehiro Kashiyama; Hiroya Maeda; Yoshihide Sekimoto (IEEE BigData, 2021)

Development of a Reinforcement Learning based Agent Model and People Flow Data to Mega Metropolitan Area. - Yanbo Pang; Takehiro Kashiyama; Yoshihide Sekimoto (IEEE BigData, 2021)

Simulating Human Mobility with Agent-based Modeling and Particle Filter Following Mobile Spatial Statistics. - Mingfei Cai; Yanbo Pang; Takehiro Kashiyama; Yoshihide Sekimoto (SIGSPATIAL/GIS, 2021)

Joining Street-View Images and Building Footprint GIS Data. - Yoshiki Ogawa; Takuya Oki; Shenglong Chen; Yoshihide Sekimoto (GeoSearch@SIGSPATIAL, 2021)

Computation of Infection Risk via Confidential Locational Entries: A Precedent Approach for Contact Tracing With Privacy Protection. - Junko Ami; Kunihiro Ishii; Yoshihide Sekimoto; Hiroshi Masui; Ikki Ohmukai; Yasunori Yamamoto; Takashi Okumura (IEEE Access, 2021)

Generative adversarial network for road damage detection. - Hiroya Maeda; Takehiro Kashiyama; Yoshihide Sekimoto; Toshikazu Seto; Hiroshi Omata (Comput. Aided Civ. Infrastructure Eng., 2021)

Crowdsensing-based Road Damage Detection Challenge (CRDDC'2022). - Deeksha Arya; Hiroya Maeda; Sanjay Kumar Ghosh; Durga Toshniwal; Hiroshi Omata; Takehiro Kashiyama; Yoshihide Sekimoto (IEEE Big Data, 2022)

Spatial Attention Based Grid Representation Learning For Predicting Origin-Destination Flow. - Mingfei Cai; Yanbo Pang; Yoshihide Sekimoto (IEEE Big Data, 2022)

Vehicle re-identification and trajectory reconstruction using multiple moving cameras in the CARLA driving simulator. - Ashutosh Kumar; Takehiro Kashiyama; Hiroya Maeda; Fan Zhang; Hiroshi Omata; Yoshihide Sekimoto (IEEE Big Data, 2022)

Deep Learning for Destination Choice Modeling: A Fundamental Approach for National Level People Flow Reconstruction. - Yanbo Pang; Yoshihide Sekimoto (IEEE Big Data, 2022)

Road Rutting Detection using Deep Learning on Images. - Poonam Kumari Saha; Deeksha Arya; Ashutosh Kumar; Hiroya Maeda; Yoshihide Sekimoto (IEEE Big Data, 2022)

Data Resampling and Ensemble Learning for Vehicle Class and Orientation Detection. - Poonam Kumari Saha; Gaurish Gangwar; Yoshihide Sekimoto; Yoshihiro Suda (IEEE Big Data, 2022)

Road Damage Detection for Multiple Countries. - Poonam Kumari Saha; Yoshihide Sekimoto (IEEE Big Data, 2022)

Uncertainty of Traffic Congestion Estimation Using Nationwide Pseudo Trip Data and Agent-Based Simulation. - Aayush Tewari; Yanbo Pang; Yoshihide Sekimoto (IEEE Big Data, 2022)

Large-Scale Building Footprint Extraction from Open-Sourced Satellite Imagery via Instance Segmentation Approach. - Shenglong Chen; Yoshiki Ogawa; Chenbo Zhao; Yoshihide Sekimoto (IGARSS, 2022)

Scene Level People Flow Trend Prediction by Swin Transformer. - Chenbo Zhao; Yoshiki Ogawa; Shenglong Chen; Yoshihide Sekimoto (IGARSS, 2022)

Citywide reconstruction of traffic flow using the vehicle-mounted moving camera in the CARLA driving simulator. - Ashutosh Kumar; Takehiro Kashiyama; Hiroya Maeda; Hiroshi Omata; Yoshihide Sekimoto (ITSC, 2022)

Vision-Based Traffic Sign Detection and Localization in Tokyo Metropolitan Area. - Zhehui Yang; Hiroya Maeda; Chenbo Zhao; Go Sato; Yoshihide Sekimoto (ITSC, 2022)

Pseudo-PFLOW: Development of nationwide synthetic open dataset for people movement based on limited travel survey and open statistical data. - Takehiro Kashiyama; Yanbo Pang; Yoshihide Sekimoto; Takahiro Yabe (CoRR, 2022)

RDD2022: A multi-national image dataset for automatic Road Damage Detection. - Deeksha Arya; Hiroya Maeda; Sanjay Kumar Ghosh; Durga Toshniwal; Yoshihide Sekimoto (CoRR, 2022)

Online real-time pedestrian tracking from medium altitude aerial footage with camera motion cancellation. - Gergely Csönde; Yoshihide Sekimoto; Takehiro Kashiyama (Comput. Vis. Image Underst., 2022)

Development of a Large-Scale Roadside Facility Detection Model Based on the Mapillary Dataset. - Zhehui Yang; Chenbo Zhao; Hiroya Maeda; Yoshihide Sekimoto (Sensors, 2022)

Development of current estimated household data and agent-based simulation of the future population distribution of households in Japan. - Kento Kajiwara; Jue Ma; Toshikazu Seto; Yoshihide Sekimoto; Yoshiki Ogawa; Hiroshi Omata (Comput. Environ. Urban Syst., 2022)

Early warning of COVID-19 hotspots using human mobility and web search query data. - Takahiro Yabe; Kota Tsubouchi; Yoshihide Sekimoto; Satish V. Ukkusuri (Comput. Environ. Urban Syst., 2022)

Unveiling the Road Matrix: Development of Versatile Pavement Surface Models from Low-resolution Aerial Images. - Ling-Feng Liao; Deeksha Arya; Yoshihide Sekimoto (IEEE Big Data, 2023)

Label Freedom: Stable Diffusion for Remote Sensing Image Semantic Segmentation Data Generation. - Chenbo Zhao; Yoshiki Ogawa; Shenglong Chen; Zhehui Yang; Yoshihide Sekimoto (IEEE Big Data, 2023)

Are Utility Poles Within Sight? Unleashing the Power of Computer Vision for Effortless Roadside Management. - Zhehui Yang; Deeksha Arya; Chenbo Zhao; Hiroya Maeda; Yoshihide Sekimoto (ITSC, 2023)

Deep Learning Approach to Logistics Trips Generation: Enhancing Pseudo People Flow with Agent-Based Modeling. - Kunyi Zhang; Yanbo Pang; Yoshihide Sekimoto (ITSC, 2023)

WindSR: Improving Spatial Resolution of Satellite Wind Speed Through Super-Resolution. - Ashutosh Kumar; Tanvir Islam; Jue Ma; Takehiro Kashiyama; Yoshihide Sekimoto; Chris Mattmann (IEEE Access, 2023)

Metropolitan Scale and Longitudinal Dataset of Anonymized Human Mobility Trajectories. - Takahiro Yabe; Kota Tsubouchi; Toru Shimizu; Yoshihide Sekimoto; Kaoru Sezaki; Esteban Moro; Alex Pentland (CoRR, 2023)

Quantitative land price analysis via computer vision from street view images. - Chenbo Zhao; Yoshiki Ogawa; Shenglong Chen; Takuya Oki; Yoshihide Sekimoto (Eng. Appl. Artif. Intell., 2023)

Deep Learning Approach for Classifying the Built Year and Structure of Individual Buildings by Automatically Linking Street View Images and GIS Building Data. - Yoshiki Ogawa; Chenbo Zhao; Takuya Oki; Shenglong Chen; Yoshihide Sekimoto (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

People Flow Trend Estimation Approach and Quantitative Explanation Based on the Scene Level Deep Learning of Street View Images. - Chenbo Zhao; Yoshiki Ogawa; Shenglong Chen; Takuya Oki; Yoshihide Sekimoto (Remote. Sens., 2023)

Human Mobility Prediction Challenge 2023. - Takahiro Yabe; Kota Tsubouchi; Toru Shimizu; Yoshihide Sekimoto; Kaoru Sezaki; Esteban Moro; Alex Pentland (Zenodo, 2023)

YJMob100K: City-Scale and Longitudinal Dataset of Anonymized Human Mobility Trajectories. - Takahiro Yabe; Kota Tsubouchi; Toru Shimizu; Yoshihide Sekimoto; Kaoru Sezaki; Esteban Moro; Alex Pentland (Zenodo, 2023)

ORDDC'2024: State of the art Solutions for Optimized Road Damage Detection. - Deeksha Arya; Hiroshi Omata; Hiroya Maeda; Yoshihide Sekimoto (IEEE Big Data, 2024)

A Preliminary Study on Dynamic Urban Knowledge Graph Construction using Heterogeneous Spatio-temporal Data. - Ziheng Liu; Yanbo Pang; Yoshihide Sekimoto (IEEE Big Data, 2024)

Agentic Large Language Models for Generating Large-Scale Urban Daily Activity Patterns. - Yurong Zhang; Kunyi Zhang; Yanbo Pang; Yoshihide Sekimoto (IEEE Big Data, 2024)

Explainable Hierarchical Urban Representation Learning for Commuting Flow Prediction. - Mingfei Cai; Yanbo Pang; Yoshihide Sekimoto (SIGSPATIAL/GIS, 2024)

Enhanced Road Damage Detection with Federated Learning Across Diverse and Heterogeneous Global Datasets. - Shubham Kumar Dwivedi; Deeksha Arya; Yoshihide Sekimoto (SIGSPATIAL/GIS, 2024)

MobGLM: A Large Language Model for Synthetic Human Mobility Generation. - Kunyi Zhang; Yanbo Pang; Yurong Zhang; Yoshihide Sekimoto (SIGSPATIAL/GIS, 2024)

Revamping Building Extraction with Yolov8: A Multi-Domain Assessment in Bangkok's Diverse Land-Use-Types. - Bhanu Prasad Chintakindi; Yoshiki Ogawa; Shenglong Chen; Yoshihide Sekimoto (IGARSS, 2024)

From global challenges to local solutions: A review of cross-country collaborations and winning strategies in road damage detection. - Deeksha Arya; Hiroya Maeda; Yoshihide Sekimoto (Adv. Eng. Informatics, 2024)

Enhancing geospatial retail analysis by integrating synthetic human mobility simulations. - Santiago Garcia-Gabilondo; Yuya Shibuya; Yoshihide Sekimoto (Comput. Environ. Urban Syst., 2024)

YJMob100K: City-Scale and Longitudinal Dataset of Anonymized Human Mobility Trajectories. - Takahiro Yabe; Kota Tsubouchi; Toru Shimizu; Yoshihide Sekimoto; Kaoru Sezaki; Esteban Moro; Alex Pentland (Zenodo, 2024)

End-to-End Framework for the Automatic Matching of Omnidirectional Street Images and Building Data and the Creation of 3D Building Models. - Yoshiki Ogawa; Ryoto Nakamura; Go Sato; Hiroya Maeda; Yoshihide Sekimoto (Remote. Sens., 2024)

Federated learning-based global road damage detection. - Poonam Kumari Saha; Deeksha Arya; Yoshihide Sekimoto (Comput. Aided Civ. Infrastructure Eng., 2024)

G2Viz: an online tool for visualizing and analyzing a public transit system from GTFS data. - Sirapop Para; Thanachok Wirotsasithon; Thanisorn Jundee; Merkebe Getachew Demissie; Yoshihide Sekimoto; Filip Biljecki; Santi Phithakkitnukoon (Public Transp., 2024)

Nationwide synthetic human mobility dataset construction from limited travel surveys and open data. - Takehiro Kashiyama; Yanbo Pang; Yuya Shibuya; Takahiro Yabe; Yoshihide Sekimoto (Comput. Aided Civ. Infrastructure Eng., 2024)

Long-Term Demand Prediction for Public Bicycle Sharing System: A Spatio-Temporal Attentional Graph Convolution Networks Approach. - Ziheng Liu; Hideomi Gokon; Yoshihide Sekimoto (IEEE Trans. Intell. Transp. Syst., 2024)

Street Space Quality Improvement: Fusion of Subjective Perception in Street View Image Generation. - Chenbo Zhao; Yoshiki Ogawa; Shenglong Chen; Takuya Oki; Yoshihide Sekimoto (Inf. Fusion, 2026)