47 citations · 67 across the 6 of their papers we have counts for
6 papers
CILF:Causality Inspired Learning Framework for Out-of-Distribution Vehicle Trajectory Prediction
Shengyi Li, Qifan Xue, Yezhuo Zhang +1
Trajectory prediction is critical for autonomous driving vehicles. Most existing methods tend to model the correlation between history trajectory (input) and future trajectory (out…
Contrastive Embedding Distribution Refinement and Entropy-Aware Attention for 3D Point Cloud Classification
Feng Yang, Yichao Cao, Qifan Xue +3
Learning a powerful representation from point clouds is a fundamental and challenging problem in the field of computer vision. Different from images where RGB pixels are stored in…
Hierarchical Motion Encoder-Decoder Network for Trajectory Forecasting
Qifan Xue, Shengyi Li, Xuanpeng Li +2
Trajectory forecasting plays a pivotal role in the field of intelligent vehicles or social robots. Recent works focus on modeling spatial social impacts or temporal motion attentio…
Spatial-Channel Transformer Network for Trajectory Prediction on the Traffic Scenes
Jingwen Zhao, Xuanpeng Li, Qifan Xue +1
Predicting motion of surrounding agents is critical to real-world applications of tactical path planning for autonomous driving. Due to the complex temporal dependencies and social…
Recursive Least Squares Based Refinement Network for the Rollout Trajectory Prediction Methods
Qifan Xue, Xuanpeng Li, Weigong Zhang
Trajectory prediction plays a pivotal role in the field of intelligent vehicles. It currently suffers from several challenges,e.g., accumulative error in rollout process and weak a…
Semi-Dense 3D Semantic Mapping from Monocular SLAM
Xuanpeng Li, Rachid Belaroussi
The bundle of geometry and appearance in computer vision has proven to be a promising solution for robots across a wide variety of applications. Stereo cameras and RGB-D sensors ar…