6 citations · 7 across the 2 of their papers we have counts for
2 papers
cs.CV2018★ 1 cited
Squeeze-and-Excitation on Spatial and Temporal Deep Feature Space for Action Recognition
Gaoyun An, Wen Zhou, Yuxuan Wu +2
Spatial and temporal features are two key and complementary information for human action recognition. In order to make full use of the intra-frame spatial characteristics and inter…
cs.CV2017★ 6 cited
Multi-Level Recurrent Residual Networks for Action Recognition
Zhenxing Zheng, Gaoyun An, Qiuqi Ruan
Most existing Convolutional Neural Networks(CNNs) used for action recognition are either difficult to optimize or underuse crucial temporal information. Inspired by the fact that t…