Ruimin Sun

SNN-Driven Event-Based Flow and Rotation Estimation with SO(3) Refinement

Spiking Neural Networks (SNNs) offer a promising direction for energy-efficient event-based vision by leveraging sparse, temporally precise spikes. We propose a directly trained, fully spiking model for optical flow estimation, featuring a novel Spike GRU and membrane potential carryover for improve