Ruilin Lv — accepted AI-conference papers

2025

NATRA: Noise-Agnostic Framework for Trajectory Prediction with Noisy Observations

Rongqing Li, Changsheng Li, Ruilin Lv, Yuhang Li, Yang Gao, Xiaolu Zhang +1

ICCV 2025poster

Trajectory prediction aims to forecast an agent's future trajectories based on its historical observed trajectories, which is a critical task for various applications such as autonomous driving, robotics, and surveillance systems. Most existing trajectory prediction methods assume that the observed…

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2024

LaKD: Length-agnostic Knowledge Distillation for Trajectory Prediction with Any Length Observations

Yuhang Li, Changsheng Li, Ruilin Lv, Rongqing Li, Ye Yuan, Guoren Wang

NeurIPS 2024poster

Trajectory prediction is a crucial technology to help systems avoid traffic accidents, ensuring safe autonomous driving. Previous methods typically use a fixed-length and sufficiently long trajectory of an agent as observations to predict its future trajectory. However, in real-world scenarios, we o…

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