5 citations · 5 across the 2 of their papers we have counts for
4 papers
Goal-Conditioned Imitation Learning using Score-based Diffusion Policies
Moritz Reuss, Maximilian Li, Xiaogang Jia +1
We propose a new policy representation based on score-based diffusion models (SDMs). We apply our new policy representation in the domain of Goal-Conditioned Imitation Learning (GC…
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…
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…
Integrating Coarse Granularity Part-level Features with Supervised Global-level Features for Person Re-identification
Xiaofei Mao, Jiahao Cao, Dongfang Li +2
Holistic person re-identification (Re-ID) and partial person re-identification have achieved great progress respectively in recent years. However, scenarios in reality often includ…