Weakly supervised pairwise Frank–Wolfe algorithm to recognize a sequence of human actions in RGB-D videos
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Signal Processing
Link
http://link.springer.com/content/pdf/10.1007/s11760-019-01504-6.pdf
Reference28 articles.
1. Aggarwal JK, Xia L (2014) Human activity recognition from 3d data: a review. In: Pattern recognition letters, p 70–80
2. Liu J, Kuipers B, Savarese S (2011). Recognizing human actions by attributes. In: 2011 IEEE conference on computer vision and pattern recognition (CVPR), IEEE
3. Wu C. et al. (2015) Watch-n-patch: unsupervised understanding of actions and relations. In: Proceedings of the IEEE conference on computer vision and pattern recognition
4. Sadanand S, Corso JJ (2012) Action bank: a high-level representation of activity in video. In: 2012 IEEE conference on computer vision and pattern recognition (CVPR). IEEE
5. Derpanis KG et al. (2010) Efficient action spotting based on a spacetime oriented structure representation. In: 2010 IEEE conference on computer vision and pattern recognition (CVPR). IEEE
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