3 citations · 7 across the 9 of their papers we have counts for
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cs.CV2025
Patch as Node: Human-Centric Graph Representation Learning for Multimodal Action Recognition
Zeyu Liang, Hailun Xia, Naichuan Zheng
While human action recognition has witnessed notable achievements, multimodal methods fusing RGB and skeleton modalities still suffer from their inherent heterogeneity and fail to…
cs.CV2025
Signal-SGN++: Topology-Enhanced Time-Frequency Spiking Graph Network for Skeleton-Based Action Recognition
Naichuan Zheng, Xiahai Lun, Weiyi Li +1
Graph Convolutional Networks (GCNs) demonstrate strong capability in modeling skeletal topology for action recognition, yet their dense floating-point computations incur high energ…
cs.CV2025★ 1 cited
SNN-Driven Multimodal Human Action Recognition via Sparse Spatial-Temporal Data Fusion
Naichuan Zheng, Hailun Xia, Zeyu Liang +1
Multimodal human action recognition based on RGB and skeleton data fusion, while effective, is constrained by significant limitations such as high computational complexity, excessi…