Author

Frederick W. B. Li

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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 Sep 2026

Predicting Human Disagreement for Calibrated Dynamic Facial Expression Recognition

Dynamic facial expression recognition (DFER) benchmarks such as DFEW provide multiple annotator votes per clip, yet most models collapse them to a majority label and cannot represent human disagreement at inference time. We propose a disagreement-aware DFER framework that trains directly on the raw annotator count vect...

Yi-Ming Wang, Frederick W. B. Li, Jing-Yun Wang · 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