59 citations · 103 across the 8 of their papers we have counts for
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cs.CV2023
Dynamic Spatial-temporal Hypergraph Convolutional Network for Skeleton-based Action Recognition
Shengqin Wang, Yongji Zhang, Hong Qi +2
Skeleton-based action recognition relies on the extraction of spatial-temporal topological information. Hypergraphs can establish prior unnatural dependencies for the skeleton. How…
cs.CV2022★ 25 cited
Skeleton-based Action Recognition via Temporal-Channel Aggregation
Shengqin Wang, Yongji Zhang, Minghao Zhao +4
Skeleton-based action recognition methods are limited by the semantic extraction of spatio-temporal skeletal maps. However, current methods have difficulty in effectively combining…
cs.CV2020
Activation Map Adaptation for Effective Knowledge Distillation
Zhiyuan Wu, Hong Qi, Yu Jiang +4
Model compression becomes a recent trend due to the requirement of deploying neural networks on embedded and mobile devices. Hence, both accuracy and efficiency are of critical imp…