1 code implementation • 26 Nov 2021 • Qifan Xue, Shengyi Li, Xuanpeng Li, Jingwen Zhao, Weigong Zhang
HMNet first infers the hierarchical difference on motions to encode physically compliant patterns with high expressivity of moving trends and driving intentions.
no code implementations • 11 Jul 2023 • Shengyi Li, Qifan Xue, Yezhuo Zhang, Xuanpeng Li
To leverage causal features for prediction, we propose a Causal Inspired Learning Framework (CILF), which includes three steps: 1) extracting domain-invariant causal feature by means of an invariance loss, 2) extracting domain variant feature by domain contrastive learning, and 3) separating domain-variant causal and non-causal feature by encouraging causal sufficiency.