activity
20202026
most citedGenerative Adversarial Networks for Spatio-temporal Data: A Survey

131 citations · 448 across the 23 of their papers we have counts for

collaborators
Showing 2020Show all

5 papers · 1 filter

cs.LG2020★ 115 cited

Time Series Change Point Detection with Self-Supervised Contrastive Predictive Coding

Shohreh Deldari, Daniel V. Smith, Hao Xue +1

Change Point Detection (CPD) methods identify the times associated with changes in the trends and properties of time series data in order to describe the underlying behaviour of th…

cs.AI2020★ 14 cited

TERMCast: Temporal Relation Modeling for Effective Urban Flow Forecasting

Hao Xue, Flora D Salim

Urban flow forecasting is a challenging task, given the inherent periodic characteristics of urban flow patterns. To capture the periodicity, existing urban flow prediction approac…

cs.CV2020★ 8 cited

Scene Gated Social Graph: Pedestrian Trajectory Prediction Based on Dynamic Social Graphs and Scene Constraints

Hao Xue, Du Q. Huynh, Mark Reynolds

Pedestrian trajectory prediction is valuable for understanding human motion behaviors and it is challenging because of the social influence from other pedestrians, the scene constr…

cs.LG2020★ 131 cited

Generative Adversarial Networks for Spatio-temporal Data: A Survey

Nan Gao, Hao Xue, Wei Shao +5

Generative Adversarial Networks (GANs) have shown remarkable success in producing realistic-looking images in the computer vision area. Recently, GAN-based techniques are shown to…

cs.CV2020

Take a NAP: Non-Autoregressive Prediction for Pedestrian Trajectories

Hao Xue, Du. Q. Huynh, Mark Reynolds

Pedestrian trajectory prediction is a challenging task as there are three properties of human movement behaviors which need to be addressed, namely, the social influence from other…