Three-stream CNNs for action recognition

By Liangliang Wang, Lianzheng Ge, Ruifeng Li, Yajun Fang. 2017

94 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Computer Vision and Pattern Recognition

How researchers see this paper

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

In Biomedical Engineering

1. Amir Shahroudy
2. Jianfei Cai
3. Zhenhua Wang
4. Gang Wang
5. Lianyang Ma
6. Jiuxiang Gu
7. Bing Shuai
8. Tsuhan Chen

In Computer Vision and Pattern Recognition

1. Jianfei Cai
2. G. Wang
3. Jiuxiang Gu
4. Amir Shahroudy
5. Tsuhan Chen
6. Bing Shuai
7. Gang Wang
8. Jason Kuen

Citations in the corpus

• Recent advances in convolutional neural networks (2015, background): “Applying CNNs on videos is challenging because traditional CNNs are designed to represent two dimensional pure spatial signals but in videos a new temporal axis is added which is essentially different from the spatial variations in images [256, 264].”