An efficient part-based approach to action recognition from RGB-D video with BoW-pyramid representation

By Jih-Sheng Tsai, Yen-Pin Hsu, Chengyin Liu, Li-Chen Fu. 2013

10 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Human-Computer Interaction

How researchers see this paper

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

In Computer Vision and Pattern Recognition

1. G. Wang
2. Amir Shahroudy
3. Jun Liu
4. Hossein Rahmani
5. Tian-Tsong Ng
6. Yihong Gong
7. Alex ChiChung Kot
8. Ajmal Saeed Mian

In Human-Computer Interaction

1. G. Wang
2. Amir Shahroudy
3. Yihong Gong
4. Tian-Tsong Ng
5. Jun Liu
6. Hossein Rahmani

Citations in the corpus

• Deep Multimodal Feature Analysis for Action Recognition in RGB+D Videos (2016, background): “Multimodality analysis of RGB+D action videos is studied by [39, 34, 59, 20, 22, 87, 88, 31, 63, 23, 55, 34].”