5 citations · 5 across the 3 of their papers we have counts for
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cs.AI2023
Dynamic Scenario Representation Learning for Motion Forecasting with Heterogeneous Graph Convolutional Recurrent Networks
Xing Gao, Xiaogang Jia, Yikang Li +1
Due to the complex and changing interactions in dynamic scenarios, motion forecasting is a challenging problem in autonomous driving. Most existing works exploit static road graphs…
cs.AI2021
On complementing end-to-end human behavior predictors with planning
Liting Sun, Xiaogang Jia, Anca D. Dragan
High capacity end-to-end approaches for human motion (behavior) prediction have the ability to represent subtle nuances in human behavior, but struggle with robustness to out of di…