Jinjian Wu

Enforcing spatio-temporal structural consistency in event-based optical flow estimation yields state-of-the-art performance, even surpassing traditional frame-based methods.

By distilling visual foundation models, this work achieves a significant leap in event stream representation learning, surpassing prior methods in generalization, data efficiency, and transferability.