Integrating multi-stage depth-induced contextual information for human action recognition and localization

By Bingbing Ni, Yong Pei, Zhujin Liang, Liang Lin, Pierre Moulin. 2013

19 citations recorded by the source corpus.

Subfields: Artificial Intelligence, 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 Artificial Intelligence

1. X. Wang
2. Wangmeng Zuo
3. Keze Wang
4. M. Wang
5. Liang Lin
6. Abhinav Kumar Gupta
7. Xiaodan Liang
8. Kate Saenko

In Computer Vision and Pattern Recognition

1. Wangmeng Zuo
2. Luc Van Gool
3. Liang Lin
4. Ming-Hsuan Yang
5. Dacheng Tao
6. Lei Zhang
7. X. Wang
8. Xiaogang Wang

Citations in the corpus

• RGB-D-based action recognition datasets: A survey (2016, neutral): “Pose+Appearance +Context+Scene (Without Localization) [107, 54] 1.”
• 3D Human Activity Recognition with Reconfigurable Convolutional Neural Networks (2014, background): “A batch of works on human action/activity understanding mainly focused on developing robust and descriptive features [35, 6, 20, 19, 40, 37, 24].”