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2020 – today
- 2024
[j34]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: 102388 (2024)- [j33]Poonam Kumari Saha, Deeksha Arya, Yoshihide Sekimoto:
Federated learning-based global road damage detection. Comput. Aided Civ. Infrastructure Eng. 39(14): 2223-2238 (2024) - [j32]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): 1858 (2024) - [j31]Santiago Garcia-Gabilondo, Yuya Shibuya, Yoshihide Sekimoto:
Enhancing geospatial retail analysis by integrating synthetic human mobility simulations. Comput. Environ. Urban Syst. 108: 102058 (2024) - [c62]Bhanu Prasad Chintakindi, Yoshiki Ogawa, Shenglong Chen, Yoshihide Sekimoto:
Revamping Building Extraction with Yolov8: A Multi-Domain Assessment in Bangkok's Diverse Land-Use-Types. IGARSS 2024: 10053-10057 - [d2]Takahiro Yabe, Kota Tsubouchi, Toru Shimizu, Yoshihide Sekimoto, Kaoru Sezaki, Esteban Moro, Alex Pentland:
YJMob100K: City-Scale and Longitudinal Dataset of Anonymized Human Mobility Trajectories. Version 3. Zenodo, 2024 [all versions]
- [i15]Mingfei Cai, Yanbo Pang, Yoshihide Sekimoto:
Explainable Hierarchical Urban Representation Learning for Commuting Flow Prediction. CoRR abs/2408.14762 (2024) - 2023
- [j30]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: 69486-69494 (2023) - [j29]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): 106294 (2023) - [j28]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): 1362 (2023) - [j27]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: 1740-1755 (2023) - [c61]Ling-Feng Liao, Deeksha Arya, Yoshihide Sekimoto:
Unveiling the Road Matrix: Development of Versatile Pavement Surface Models from Low-resolution Aerial Images. IEEE Big Data 2023: 738-747 - [c60]Chenbo Zhao, Yoshiki Ogawa, Shenglong Chen, Zhehui Yang, Yoshihide Sekimoto:
Label Freedom: Stable Diffusion for Remote Sensing Image Semantic Segmentation Data Generation. IEEE Big Data 2023: 1022-1030 - [c59]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: 732-737 - [c58]Kunyi Zhang, Yanbo Pang, Yoshihide Sekimoto:
Deep Learning Approach to Logistics Trips Generation: Enhancing Pseudo People Flow with Agent-Based Modeling. ITSC 2023: 2535-2542 - [d1]Takahiro Yabe, Kota Tsubouchi, Toru Shimizu, Yoshihide Sekimoto, Kaoru Sezaki, Esteban Moro, Alex Pentland:
YJMob100K: City-Scale and Longitudinal Dataset of Anonymized Human Mobility Trajectories. Version 2. Zenodo, 2023 [all versions] - [i14]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 abs/2307.03401 (2023) - 2022
- [j26]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: 103386 (2022) - [j25]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): 9992 (2022) - [j24]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: 101747 (2022) - [j23]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: 101873 (2022) - [c57]Mingfei Cai, Yanbo Pang, Yoshihide Sekimoto:
Spatial Attention Based Grid Representation Learning For Predicting Origin-Destination Flow. IEEE Big Data 2022: 485-494 - [c56]Poonam Kumari Saha, Deeksha Arya, Ashutosh Kumar, Hiroya Maeda, Yoshihide Sekimoto:
Road Rutting Detection using Deep Learning on Images. IEEE Big Data 2022: 1362-1368 - [c55]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. IEEE Big Data 2022: 1858-1865 - [c54]Yanbo Pang, Yoshihide Sekimoto:
Deep Learning for Destination Choice Modeling: A Fundamental Approach for National Level People Flow Reconstruction. IEEE Big Data 2022: 1900-1905 - [c53]Aayush Tewari, Yanbo Pang, Yoshihide Sekimoto:
Uncertainty of Traffic Congestion Estimation Using Nationwide Pseudo Trip Data and Agent-Based Simulation. IEEE Big Data 2022: 3854-3863 - [c52]Deeksha Arya, Hiroya Maeda, Sanjay Kumar Ghosh, Durga Toshniwal, Hiroshi Omata, Takehiro Kashiyama, Yoshihide Sekimoto:
Crowdsensing-based Road Damage Detection Challenge (CRDDC'2022). IEEE Big Data 2022: 6378-6386 - [c51]Poonam Kumari Saha, Yoshihide Sekimoto:
Road Damage Detection for Multiple Countries. IEEE Big Data 2022: 6431-6438 - [c50]Poonam Kumari Saha, Gaurish Gangwar, Yoshihide Sekimoto, Yoshihiro Suda:
Data Resampling and Ensemble Learning for Vehicle Class and Orientation Detection. IEEE Big Data 2022: 6507-6515 - [c49]Chenbo Zhao, Yoshiki Ogawa, Shenglong Chen, Yoshihide Sekimoto:
Scene Level People Flow Trend Prediction by Swin Transformer. IGARSS 2022: 2434-2437 - [c48]Shenglong Chen, Yoshiki Ogawa, Chenbo Zhao, Yoshihide Sekimoto:
Large-Scale Building Footprint Extraction from Open-Sourced Satellite Imagery via Instance Segmentation Approach. IGARSS 2022: 6284-6287 - [c47]Zhehui Yang, Hiroya Maeda, Chenbo Zhao, Go Sato, Yoshihide Sekimoto:
Vision-Based Traffic Sign Detection and Localization in Tokyo Metropolitan Area. ITSC 2022: 316-321 - [c46]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: 2292-2299 - [i13]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 abs/2204.00198 (2022) - [i12]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 abs/2205.00657 (2022) - [i11]Deeksha Arya, Hiroya Maeda, Sanjay Kumar Ghosh, Durga Toshniwal, Yoshihide Sekimoto:
RDD2022: A multi-national image dataset for automatic Road Damage Detection. CoRR abs/2209.08538 (2022) - [i10]Poonam Kumari Saha, Deeksha Arya, Ashutosh Kumar, Hiroya Maeda, Yoshihide Sekimoto:
Road Rutting Detection using Deep Learning on Images. CoRR abs/2209.14225 (2022) - [i9]Deeksha Arya, Hiroya Maeda, Sanjay Kumar Ghosh, Durga Toshniwal, Hiroshi Omata, Takehiro Kashiyama, Yoshihide Sekimoto:
Crowdsensing-based Road Damage Detection Challenge (CRDDC-2022). CoRR abs/2211.11362 (2022) - 2021
- [j22]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: 87420-87433 (2021) - [j21]Hiroya Maeda, Takehiro Kashiyama, Yoshihide Sekimoto, Toshikazu Seto, Hiroshi Omata:
Generative adversarial network for road damage detection. Comput. Aided Civ. Infrastructure Eng. 36(1): 47-60 (2021) - [c45]Ashutosh Kumar, Takehiro Kashiyama, Hiroya Maeda, Yoshihide Sekimoto:
Citywide reconstruction of cross-sectional traffic flow from moving camera videos. IEEE BigData 2021: 1670-1678 - [c44]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: 3755-3759 - [c43]Yoshiki Ogawa, Takuya Oki, Shenglong Chen, Yoshihide Sekimoto:
Joining Street-View Images and Building Footprint GIS Data. GeoSearch@SIGSPATIAL 2021: 18-24 - [c42]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: 411-414 - 2020
- [j20]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): 161 (2020) - [j19]Gergely Csönde, Yoshihide Sekimoto, Takehiro Kashiyama:
Crowd Counting with Semantic Scene Segmentation in Helicopter Footage. Sensors 20(17): 4855 (2020) - [j18]Takehiro Kashiyama, Hideaki Sobue, Yoshihide Sekimoto:
Sky Monitoring System for Flying Object Detection Using 4K Resolution Camera. Sensors 20(24): 7071 (2020) - [c41]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: 5533-5539 - [c40]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: 1-9 - [c39]Yanbo Pang, Kota Tsubouchi, Takahiro Yabe, Yoshihide Sekimoto:
Intercity Simulation of Human Mobility at Rare Events via Reinforcement Learning. SIGSPATIAL/GIS 2020: 293-302 - [c38]Takahiro Yabe, Kota Tsubouchi, Toru Shimizu, Yoshihide Sekimoto, Satish V. Ukkusuri:
Unsupervised Translation via Hierarchical Anchoring: Functional Mapping of Places across Cities. KDD 2020: 2841-2851 - [c37]Alexander Mraz, Yoshihide Sekimoto, Takehiro Kashiyama, Hiroya Maeda:
Development of the Localized Road Damage Detection Model Using Deep Neural Network. SSIP 2020: 1-6 - [i8]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 abs/2008.13101 (2020) - [i7]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 abs/2011.08740 (2020)
2010 – 2019
- 2019
- [j17]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): 115 (2019) - [j16]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): 263 (2019) - [j15]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) - [j14]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) - [c36]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: 3916-3924 - [c35]Soo-hyun Joo, Yoshiki Ogawa, Yoshihide Sekimoto:
Decision-Making System for Road-Recovery Considering Human Mobility by Applying Deep Q-Network. IEEE BigData 2019: 4075-4084 - [c34]Takahiro Yabe, Kota Tsubouchi, Toru Shimizu, Yoshihide Sekimoto, Satish V. Ukkusuri:
City2City: Translating Place Representations across Cities. SIGSPATIAL/GIS 2019: 412-415 - [c33]Santi Phithakkitnukoon, Teerayut Horanont, Sourav Bhattacharya, Yoshihide Sekimoto:
PURBA 2019: the 8th workshop on pervasive urban applications. UbiComp/ISWC Adjunct 2019: 954-956 - [c32]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: 1-4 - [c31]Yoshiki Ogawa, Yuki Akiyama, Yoshihide Sekimoto, Ryosuke Shibasaki:
Earthquake Damage Estimation by Sparse Modeling Using Geospatial Big Data. IGARSS 2019: 5532-5535 - [c30]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: 2707-2717 - [e1]Akihito Sudo, Yoshihide Sekimoto, Lau Hoong Chin, Xuan Song, Takahiro Yabe:
Proceedings of the 2nd ACM SIGSPATIAL Workshop on Prediction of Human Mobility, PredictGIS 2018, Seattle, WA, USA, November 6, 2018. ACM 2019, ISBN 978-1-4503-6042-5 [contents] - [i6]Takahiro Yabe, Kota Tsubouchi, Naoya Fujiwara, Yoshihide Sekimoto, Satish V. Ukkusuri:
Universality of population recovery patterns after disasters. CoRR abs/1905.01804 (2019) - [i5]Takahiro Yabe, Kota Tsubouchi, Toru Shimizu, Yoshihide Sekimoto, Satish V. Ukkusuri:
Predicting Evacuation Decisions using Representations of Individuals' Pre-Disaster Web Search Behavior. CoRR abs/1906.07770 (2019) - [i4]Gergely Csönde, Yoshihide Sekimoto, Takehiro Kashiyama:
Congestion Analysis of Convolutional Neural Network-Based Pedestrian Counting Methods on Helicopter Footage. CoRR abs/1911.01672 (2019) - [i3]Takahiro Yabe, Kota Tsubouchi, Toru Shimizu, Yoshihide Sekimoto, Satish V. Ukkusuri:
City2City: Translating Place Representations across Cities. CoRR abs/1911.12143 (2019) - 2018
- [j13]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): 1127-1141 (2018) - [j12]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): 1-13 (2018) - [j11]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): 259 (2018) - [j10]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): 449 (2018) - [j9]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): 26-27 (2018) - [c29]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: 881-890 - [c28]Mitsuaki Obara, Takehiro Kashiyama, Yoshihide Sekimoto:
Deep Reinforcement Learning Approach for Train Rescheduling Utilizing Graph Theory. IEEE BigData 2018: 4525-4533 - [c27]Yanbo Pang, Kota Tsubouchi, Takahiro Yabe, Yoshihide Sekimoto:
Replicating urban dynamics by generating human-like agents from smartphone GPS data. SIGSPATIAL/GIS 2018: 440-443 - [c26]Santi Phithakkitnukoon, Teerayut Horanont, Sourav Bhattacharya, Yoshihide Sekimoto:
PURBA 2018: The 7th Workshop on Pervasive Urban Applications. UbiComp/ISWC Adjunct 2018: 1011-1014 - [c25]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: 1-8 - [c24]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: 9-10 - [c23]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: 122-127 - [p1]Yoshiki Ogawa, Taisei Sato, Yuki Akiyama, Ryosuke Shibasaki, Yoshihide Sekimoto:
Developing a Model for Estimating the Home Return of Evacuees Based on the 2011 Tohoku Earthquake Tsunami - Utilizing Mobile Phone GPS Big Data. Advances and New Trends in Environmental Informatics 2018: 227-240 - [i2]Hiroya Maeda, Yoshihide Sekimoto, Toshikazu Seto, Takehiro Kashiyama, Hiroshi Omata:
Road Damage Detection Using Deep Neural Networks with Images Captured Through a Smartphone. CoRR abs/1801.09454 (2018) - [i1]Takahiro Yabe, Yoshihide Sekimoto, Kota Tsubouchi, Satoshi Ikemoto:
Cross-comparative analysis of evacuation behavior after earthquakes using mobile phone data. CoRR abs/1811.03598 (2018) - 2017
- [j8]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): 117:1-117:17 (2017) - [j7]Akihito Sudo, Takahiro Yabe, Yoshihide Sekimoto:
PredictGIS 2017 workshop report held in conjunction with ACM SIGSPATIAL 2017. ACM SIGSPATIAL Special 9(3): 30-31 (2017) - [j6]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): 29:1-29:23 (2017) - [c22]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: 5:1-5:9 - [c21]Akihito Sudo, Teck-Hou Teng, Hoong Chuin Lau, Yoshihide Sekimoto:
Predicting Indoor Crowd Density using Column-Structured Deep Neural Network. PredictGIS@SIGSPATIAL 2017: 7:1-7:7 - [c20]Hiroya Maeda, Yoshihide Sekimoto, Toshikazu Seto, Takehiro Kashiyama, Hiroshi Omata:
Extraction of Road Maintenance Criteria using Machine Learning and Spatial Information. UrbanGIS@SIGSPATIAL 2017: 9:1-9:8 - [c19]Hideaki Sobue, Yuki Fukushima, Takahiro Kashiyama, Yoshihide Sekimoto:
Flying Object Detection and Classification by Monitoring Using Video Images. SIGSPATIAL/GIS 2017: 57:1-57:4 - [c18]Santi Phithakkitnukoon, Teerayut Horanont, Sourav Bhattacharya, Yoshihide Sekimoto:
PURBA 2017: the 6th workshop on pervasive urban applications. UbiComp/ISWC Adjunct 2017: 376-379 - 2016
- [c17]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: 5:1-5:10 - [c16]Hiroya Maeda, Yoshihide Sekimoto, Toshikazu Seto:
Lightweight road manager: smartphone-based automatic determination of road damage status by deep neural network. MobiGIS 2016: 37-45 - [c15]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: 44:1-44:10 - [c14]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: 54:1-54:4 - [c13]Santi Phithakkitnukoon, Teerayut Horanont, Sourav Bhattacharya, Yoshihide Sekimoto:
PURBA 2016: the 5th workshop on pervasive urban applications. UbiComp Adjunct 2016: 1339-1342 - [c12]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: 1426-1434 - [c11]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: 111-113 - 2015
- [j5]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: 18-39 (2015) - [c10]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: 730-736 - [c9]Santi Phithakkitnukoon, Teerayut Horanont, Sourav Bhattacharya, Yoshihide Sekimoto:
PURBA 2015: the 4th workshop on pervasive urban applications. UbiComp/ISWC Adjunct 2015: 1111-1115 - [c8]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: 1197-1205 - 2014
- [c7]Xuan Song, Quanshi Zhang, Yoshihide Sekimoto, Ryosuke Shibasaki:
Intelligent System for Urban Emergency Management during Large-Scale Disaster. AAAI 2014: 458-464 - [c6]Xuan Song, Quanshi Zhang, Yoshihide Sekimoto, Ryosuke Shibasaki:
Prediction of human emergency behavior and their mobility following large-scale disaster. KDD 2014: 5-14 - [c5]Yoko Hasegawa, Yoshihide Sekimoto, Takehiro Kashiyama, Hiroshi Kanasugi:
Transportation melting pot Dhaka: road-link based traffic volume estimation from sparse CDR data. Urb-IoT 2014: 105-107 - 2013
- [j4]Teerayut Horanont, Apichon Witayangkurn, Yoshihide Sekimoto, Ryosuke Shibasaki:
Large-Scale Auto-GPS Analysis for Discerning Behavior Change during Crisis. IEEE Intell. Syst. 28(4): 26-34 (2013) - [j3]Xuan Song, Quanshi Zhang, Yoshihide Sekimoto, Teerayut Horanont, Satoshi Ueyama, Ryosuke Shibasaki:
Intelligent System for Human Behavior Analysis and Reasoning Following Large-Scale Disasters. IEEE Intell. Syst. 28(4): 35-42 (2013) - [j2]Yoshihide Sekimoto, Atsuto Watanabe, Toshikazu Nakamura, Hiroshi Kanasugi, Tomotaka Usui:
Combination of spatio-temporal correction methods using traffic survey data for reconstruction of people flow. Pervasive Mob. Comput. 9(5): 629-642 (2013) - [c4]Apichon Witayangkurn, Teerayut Horanont, Yoshihide Sekimoto, Ryosuke Shibasaki:
Anomalous event detection on large-scale GPS data from mobile phones using hidden markov model and cloud platform. UbiComp (Adjunct Publication) 2013: 1219-1228 - [c3]Xuan Song, Quanshi Zhang, Yoshihide Sekimoto, Teerayut Horanont, Satoshi Ueyama, Ryosuke Shibasaki:
Modeling and probabilistic reasoning of population evacuation during large-scale disaster. KDD 2013: 1231-1239 - [c2]Hiroshi Kanasugi, Yoshihide Sekimoto, Mori Kurokawa, Takafumi Watanabe, Shigeki Muramatsu, Ryosuke Shibasaki:
Spatiotemporal route estimation consistent with human mobility using cellular network data. PerCom Workshops 2013: 267-272 - 2012
- [c1]Yoshihide Sekimoto, Yutaka Matsubayashi, Harutoshi Yamada, Ryuichi Imai, Tomotaka Usui, Hiroshi Kanasugi:
Lightweight lane positioning of vehicles using a smartphone GPS by monitoring the distance from the center line. ITSC 2012: 1561-1565 - 2011
- [j1]Yoshihide Sekimoto, Ryosuke Shibasaki, Hiroshi Kanasugi, Tomotaka Usui, Yasunobu Shimazaki:
PFlow: Reconstructing People Flow Recycling Large-Scale Social Survey Data. IEEE Pervasive Comput. 10(4): 27-35 (2011)
Coauthor Index
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Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-09-30 01:00 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
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dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
