| Predicting Citywide Crowd Dynamics at Big Events: A Deep Learning System | 0 | 0.34 | 2022 |
| Learn to Be Clear and Colorful: An End-to-End Network for Panchromatic Image Enhancement | 0 | 0.34 | 2022 |
| Applying State-of-the-Art Deep-Learning Methods to Classify Urban Cities of the Developing World | 0 | 0.34 | 2021 |
| Transfer Urban Human Mobility via POI Embedding over Multiple Cities | 1 | 0.34 | 2021 |
| Data-Driven In-Crisis Community Identification for Disaster Response and Management | 0 | 0.34 | 2021 |
| FedVoting: A Cross-Silo Boosting Tree Construction Method for Privacy-Preserving Long-Term Human Mobility Prediction | 0 | 0.34 | 2021 |
| Countrywide Origin-Destination Matrix Prediction and Its Application for COVID-19 | 0 | 0.34 | 2021 |
| Forecasting Ambulance Demand With Profiled Human Mobility Via Heterogeneous Multi-Graph Neural Networks | 0 | 0.34 | 2021 |
| Social-Dpf: Socially Acceptable Distribution Prediction Of Futures | 0 | 0.34 | 2021 |
| DualSIN: Dual Sequential Interaction Network for Human Intentional Mobility Prediction | 0 | 0.34 | 2020 |
| Multimodal Interaction-Aware Trajectory Prediction In Crowded Space | 0 | 0.34 | 2020 |
| Trajectory fingerprint: one-shot human trajectory identification using Siamese network. | 0 | 0.34 | 2020 |
| Super-Resolution Integrated Building Semantic Segmentation for Multi-Source Remote Sensing Imagery. | 0 | 0.34 | 2019 |
| Heat exposure assessment based on individual daily mobility patterns in Dhaka, Bangladesh. | 0 | 0.34 | 2019 |
| Study On The Relationship Between House Rent And People Congestion By Time In Tokyo Based On Mobile Phone Gps Data | 0 | 0.34 | 2019 |
| A Variational Autoencoder Based Generative Model of Urban Human Mobility | 1 | 0.35 | 2019 |
| Firm-level behavior control after large-scale urban flooding using multi-agent deep reinforcement learning. | 0 | 0.34 | 2019 |
| Decentralized Attention-based Personalized Human Mobility Prediction | 1 | 0.35 | 2019 |
| Integrating GPS trajectory and topics from Twitter stream for human mobility estimation | 1 | 0.36 | 2019 |
| Visual graph mining for graph matching | 0 | 0.34 | 2019 |
| A Stacked Fully Convolutional Networks with Feature Alignment Framework for Multi-Label Land-cover Segmentation. | 0 | 0.34 | 2019 |
| Inferencing Human Spatiotemporal Mobility in Greater Maputo via Mobile Phone Big Data Mining. | 3 | 0.71 | 2018 |
| Inference of Human Spatiotemporal Mobility in Greater Maputo by Mobile Phone Big Data Mining. | 0 | 0.34 | 2018 |
| Editorial Introduction to the Special Issue on Multimedia Big Data for Extreme Events. | 0 | 0.34 | 2018 |
| Online Deep Ensemble Learning for Predicting Citywide Human Mobility | 1 | 0.34 | 2018 |
| A CNN-Based Method of Vehicle Detection from Aerial Images Using Hard Example Mining. | 2 | 0.36 | 2018 |
| Urban Travel Time Estimation in Greater Maputo Using Mobile Phone Big Data | 0 | 0.34 | 2018 |
| Automatic Building Segmentation of Aerial Imagery Using Multi-Constraint Fully Convolutional Networks. | 6 | 0.55 | 2018 |
| DeepUrbanMomentum: An Online Deep-Learning System for Short-Term Urban Mobility Prediction. | 1 | 0.34 | 2018 |
| A Context-Aware Nonnegative Matrix Factorization Framework for Traffic Accident Risk Estimation via Heterogeneous Data | 0 | 0.34 | 2018 |
| Prediction and Simulation of Human Mobility Following Natural Disasters. | 5 | 0.45 | 2017 |
| Village Building Identification Based on Ensemble Convolutional Neural Networks. | 4 | 0.48 | 2017 |
| DeepTransport: Prediction and Simulation of Human Mobility and Transportation Mode at a Citywide Level. | 16 | 0.63 | 2016 |
| Using data assimilation method to predict people flow in areas of incomplete data availability. | 0 | 0.34 | 2016 |
| Enhancing location prediction with big data: evidence from dhaka. | 0 | 0.34 | 2016 |
| Object Discovery: Soft Attributed Graph Mining | 7 | 0.55 | 2016 |
| Weather Index For Crop Insurance To Mitigate Basis Risk | 0 | 0.34 | 2015 |
| A Simulator Of Human Emergency Mobility Following Disasters: Knowledge Transfer From Big Disaster Data | 6 | 0.44 | 2015 |
| Reconstruction of People Flow in Areas of Incomplete Data Availability | 0 | 0.34 | 2015 |
| Understanding the unobservable population in call detail records through analysis of mobile phone user calling behavior: A case study of Greater Dhaka in Bangladesh | 0 | 0.34 | 2015 |
| International standard “OGC® moving features” to address “4Vs” on locational bigdata | 1 | 0.35 | 2015 |
| Real-time passenger location estimation using CDRs and train objects generated from crowdsourced timetables | 2 | 0.40 | 2015 |
| When 3D Reconstruction Meets Ubiquitous RGB-D Images | 7 | 0.43 | 2014 |
| Understanding User Attributes from Calling Behavior: Exploring Call Detail Records through Field Observations. | 5 | 0.53 | 2014 |
| Prediction of human emergency behavior and their mobility following large-scale disaster | 33 | 1.40 | 2014 |
| Efficient Closed-Loop Multiple-View Registration. | 0 | 0.34 | 2014 |
| Start from minimum labeling: Learning of 3D object models and point labeling from a large and complex environment | 1 | 0.35 | 2014 |
| Anomalous event detection on large-scale GPS data from mobile phones using hidden markov model and cloud platform | 7 | 0.56 | 2013 |
| GPS-supported visual SLAM with a rigorous sensor model for a panoramic camera in outdoor environments. | 10 | 0.55 | 2013 |
| Unsupervised skeleton extraction and motion capture from 3D deformable matching | 18 | 0.75 | 2013 |
