AI RESEARCH
E-TIDE: Fast, Structure-Preserving Motion Forecasting from Event Sequences
arXiv CS.CV
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ArXi:2603.27757v1 Announce Type: new Event-based cameras capture visual information as asynchronous streams of per-pixel brightness changes, generating sparse, temporally precise data. Compared to conventional frame-based sensors, they offer significant advantages in capturing high-speed dynamics while consuming substantially less power. Predicting future event representations from past observations is an important problem, enabling downstream tasks such as future semantic segmentation or object tracking without requiring access to future sensor measurements.