Spatial, Structural and Temporal Feature Learning for Human Interaction Prediction

By Qiuhong Ke, Mohammed Bennamoun, Senjian An, Farid Boussaïd, Ferdous Sohel. 2016

11 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Jun Liu
2. G. Wang
3. Ling-yu Duan
4. Alex ChiChung Kot
5. Ping Hu
6. Amir Shahroudy
7. Kamila Abdiyeva
8. Qiuhong Ke

Citations in the corpus

• Skeleton-Based Human Action Recognition With Global Context-Aware Attention LSTM Networks (2017, methodology): “They have been successfully applied to language modeling [15], RGB based video analysis [16], [17], [18], [19], [20], [21], [22], [23], [24], and also skeleton based action recognition [9], [25], [26].”
• Global Context-Aware Attention LSTM Networks for 3D Action Recognition (2017, background): “Recently, Long Short-Term Memory (LSTM) network [15] has been successfully applied to language modeling [46], RGB-based activity analysis [17, 68, 69, 61, 10, 21, 43, 30], and also 3D action recognition [11, 73, 27] due to its strong power in modeling sequential data.”