no code implementations • 28 Sep 2023 • Xiaogang Jia, Songlei Jian, Yusong Tan, Yonggang Che, Wei Chen, Zhengfa Liang
With a simple yet efficient gating mechanism, our proposed method achieves fast and accurate depth completion without the need for additional branches or post-processing steps.
1 code implementation • 5 Apr 2023 • Moritz Reuss, Maximilian Li, Xiaogang Jia, Rudolf Lioutikov
To the best of our knowledge this is the first work that a) represents a behavior policy based on such a decoupled SDM b) learns an SDM based policy in the domain of GCIL and c) provides a way to simultaneously learn a goal-dependent and a goal-independent policy from play-data.
1 code implementation • 27 Mar 2023 • Denis Blessing, Onur Celik, Xiaogang Jia, Moritz Reuss, Maximilian Xiling Li, Rudolf Lioutikov, Gerhard Neumann
Imitation learning uses data for training policies to solve complex tasks.
no code implementations • 8 Mar 2023 • Xing Gao, Xiaogang Jia, Yikang Li, Hongkai Xiong
Due to the complex and changing interactions in dynamic scenarios, motion forecasting is a challenging problem in autonomous driving.
Ranked #1 on Trajectory Prediction on Argoverse2
no code implementations • 3 Dec 2021 • Yeping Hu, Xiaogang Jia, Masayoshi Tomizuka, Wei Zhan
In this paper, we aim to address the domain generalization problem for vehicle intention prediction tasks and a causal-based time series domain generalization (CTSDG) model is proposed.
no code implementations • 23 Jun 2021 • Xin Luo, Wei Chen, Yusong Tan, Chen Li, Yulin He, Xiaogang Jia
It is desirable to transfer the knowledge stored in a well-trained source model onto non-annotated target domain in the absence of source data.
no code implementations • 9 Mar 2021 • 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 distribution inputs and tail events.
no code implementations • 3 Feb 2021 • Xiaogang Jia, Wei Chen, Zhengfa Liang, Mingfei Wu, Yusong Tan, Libo Huang
This is because different cost volumes play a crucial role in balancing speed and accuracy.