no code implementations • 19 Sep 2023 • Jie Cheng, Yingbing Chen, Xiaodong Mei, Bowen Yang, Bo Li, Ming Liu
In recent years, imitation-based driving planners have reported considerable success.
2 code implementations • ICCV 2023 • Jie Cheng, Xiaodong Mei, Ming Liu
This study explores the application of self-supervised learning (SSL) to the task of motion forecasting, an area that has not yet been extensively investigated despite the widespread success of SSL in computer vision and natural language processing.
no code implementations • 1 Feb 2021 • Xiaodong Mei, Yuxiang Sun, Yuying Chen, Congcong Liu, Ming Liu
To provide a solution to this problem, we propose a novel branched network G-CIL for the navigation policy learning.
no code implementations • 15 Sep 2020 • Yuying Chen, Congcong Liu, Xiaodong Mei, Bertram E. Shi, Ming Liu
Fully investigating the social interactions within the crowd is crucial for accurate pedestrian trajectory prediction.
no code implementations • 6 Jan 2020 • Peide Cai, Xiaodong Mei, Lei Tai, Yuxiang Sun, Ming Liu
Drifting is a complicated task for autonomous vehicle control.