2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.LG2023
STORM-GAN: Spatio-Temporal Meta-GAN for Cross-City Estimation of Human Mobility Responses to COVID-19
Han Bao, Xun Zhou, Yiqun Xie +2
Human mobility estimation is crucial during the COVID-19 pandemic due to its significant guidance for policymakers to make non-pharmaceutical interventions. While deep learning app…
cs.CV2022★ 2 cited
EgoSpeed-Net: Forecasting Speed-Control in Driver Behavior from Egocentric Video Data
Yichen Ding, Ziming Zhang, Yanhua Li +1
Speed-control forecasting, a challenging problem in driver behavior analysis, aims to predict the future actions of a driver in controlling vehicle speed such as braking or acceler…
cs.LG2022
HintNet: Hierarchical Knowledge Transfer Networks for Traffic Accident Forecasting on Heterogeneous Spatio-Temporal Data
Bang An, Amin Vahedian, Xun Zhou +2
Traffic accident forecasting is a significant problem for transportation management and public safety. However, this problem is challenging due to the spatial heterogeneity of the…