STS-Mixer decomposes 4D point cloud videos into multi-band spectral signals via graph transforms and mixes them with spatiotemporal representations to achieve better results on 3D action recognition and 4D semantic segmentation benchmarks.
Mamba4D: Efficient long-sequence point cloud video understanding with disentangled spatial-temporal state space models
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STS-Mixer: Spatio-Temporal-Spectral Mixer for 4D Point Cloud Video Understanding
STS-Mixer decomposes 4D point cloud videos into multi-band spectral signals via graph transforms and mixes them with spatiotemporal representations to achieve better results on 3D action recognition and 4D semantic segmentation benchmarks.