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Joe Lin

2 accepted papers

2025

Learning to Generate Diverse Pedestrian Movements from Web Videos with Noisy Labels

ICLR 2025poster

Understanding and modeling pedestrian movements in the real world is crucial for applications like motion forecasting and scene simulation. Many factors influence pedestrian movements, such as scene context, individual characteristics, and goals, which are often ignored by the existing human generat…