Yiyang Zou — accepted AI-conference papers

2026

RiskProp: Collision-Anchored Self-Supervised Risk Propagation For Early Accident Anticipation

Yiyang Zou, Tianhao Zhao, Peilun Xiao, Hongyu Jin, Longyu Qi, Yuxuan Li +6

CVPR 2026

Accident anticipation aims to predict impending collisions from dashcam videos and trigger early alerts. Existing methods rely on binary supervision with manually annotated "anomaly onset" frames, which are subjective and inconsistent, leading to inaccurate risk estimation. In contrast, we propose R

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2025

Accident Anticipation via Temporal Occurrence Prediction

Tianhao Zhao, Yiyang Zou, Zihao Mao, Peilun Xiao, Yulin Huang, Hongda Yang +4

NeurIPS 2025poster

Accident anticipation aims to predict potential collisions in an online manner, enabling timely alerts to enhance road safety. Existing methods typically predict frame-level risk scores as indicators of hazard. However, these approaches rely on ambiguous binary supervision—labeling all frames in acc…

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