AI RESEARCH
STS-Mixer: Spatio-Temporal-Spectral Mixer for 4D Point Cloud Video Understanding
arXiv CS.CV
•
ArXi:2604.11637v1 Announce Type: new 4D point cloud videos capture rich spatial and temporal dynamics of scenes which possess unique values in various 4D understanding tasks. However, most existing methods work in the spatiotemporal domain where the underlying geometric characteristics of 4D point cloud videos are hard to capture, leading to degraded representation learning and understanding of 4D point cloud videos. We address the above challenge from a complementary spectral perspective.