Search Results for author: Shengyi Li

Found 2 papers, 1 papers with code

CILF:Causality Inspired Learning Framework for Out-of-Distribution Vehicle Trajectory Prediction

no code implementations11 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.

Autonomous Driving Contrastive Learning +2

Hierarchical Motion Encoder-Decoder Network for Trajectory Forecasting

1 code implementation26 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.

Decoder Trajectory Forecasting

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