Author

Xiaohui Liang

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Open access Aug 2026

NeuroPath: Brain-inspired dual-pathway Graph Convolutional Networks for skeleton-based action recognition

Skeleton-based action recognition aims to recognize human actions from sequences of human joint coordinates. Most existing Spatial-Temporal Graph Convolutional Networks (STGCNs) have achieved promising results by modeling skeletal structures with implicit spatial-temporal representations. However, our empirical study r...

Kang-Lei Zhou, Ruizhi Cai, Hubert P. H. Shum et al. · Pattern Recognition · 0 citations

Preprint Aug 2026

Gaussian-Mixture Latent Flow for Stochastic 3D Human Motion Prediction

This work proposes a latent flow-based model equipped with a data-driven Gaussian mixture prior that more effectively disentangles diverse human behaviors than conventional single-modal priors and enables natural uncertainty quantification through tractable likelihood computation.

Yue Ma, Frederick W. B. Li, Xiaohui Liang · 0 citations