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Found 4 papers, 1 papers with code
A Correlation Information-based Spatiotemporal Network for Traffic Flow Forecasting
In this paper, based on the maximal information coefficient, we present two elaborate spatiotemporal representations, spatial correlation information (SCorr) and temporal correlation information (TCorr).
Ranked #1 on
Traffic Prediction
on HZME(outflow)
SVMAC: Unsupervised 3D Human Pose Estimation from a Single Image with Single-view-multi-angle Consistency
In this paper, we present an unsupervised GAN-based model consisting of multiple weight-sharing generators to estimate a 3D human pose from a single image without 3D annotations.
Monocular 3D Human Pose Estimation
Unsupervised 3D Human Pose Estimation
3D Human Pose Estimation Based on 2D-3D Consistency with Synchronized Adversarial Training
3D human pose estimation from a single image is still a challenging problem despite the large amount of work that has been performed in this field.
An Effective Dynamic Spatio-temporal Framework with Multi-Source Information for Traffic Prediction
Traffic prediction is necessary not only for management departments to dispatch vehicles but also for drivers to avoid congested roads.
