Jin Tang

Point-voxel absorbing graph representation learning for event stream-based recognition

Sampled point- and voxel-based representations are commonly used to compress dense event streams for efficient graph-based processing, where points or voxels are treated as graph nodes and encoded using graph neural networks (GNNs). However, existing event-based GNNs suffer from two main limitations. (1) they typically...