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07/11/2023
CILF:Causality Inspired Learning Framework for Out-of-Distribution Vehicle Trajectory Prediction
Trajectory prediction is critical for autonomous driving vehicles. Most ...
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01/27/2022
Contrastive Embedding Distribution Refinement and Entropy-Aware Attention for 3D Point Cloud Classification
Learning a powerful representation from point clouds is a fundamental an...
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11/26/2021
Hierarchical Motion Encoder-Decoder Network for Trajectory Forecasting
Trajectory forecasting plays a pivotal role in the field of intelligent ...
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02/22/2021
Deep Kalman Filter: A Refinement Module for the Rollout Trajectory Prediction Methods
Trajectory prediction plays a pivotal role in the field of intelligent v...
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01/27/2021
Spatial-Channel Transformer Network for Trajectory Prediction on the Traffic Scenes
Predicting motion of surrounding agents is critical to real-world applic...
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11/13/2016
