Lai Xing Ng

Event streams can dramatically enhance driving intelligence by improving temporal precision and motion awareness, outperforming traditional frame-based perception methods.

SNNs can now learn robust visual representations from unlabeled event data, rivaling supervised learning in low-data regimes, thanks to a new contrastive self-supervised learning framework.