Activity Auto-Completion: Predicting Human Activities from Partial Videos

By Zhen Xu, Laiyun Qing, Jun Miao. 2015

48 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. Amir Shahroudy
3. G. Wang
4. Ling-yu Duan
5. Jianfang Hu
6. Alex ChiChung Kot
7. Qiuhong Ke
8. Weishi Zheng

Citations in the corpus

• SSNet: Scale Selection Network for Online 3D Action Prediction (2018, background): “Recognizing (predicting) an action before it is fully performed has attracted a lot of attention recently [31, 50, 4, 71, 36, 27, 28].”
• Real-Time RGB-D Activity Prediction by Soft Regression (2016, background): “In addition, most of activity prediction works in literatures focus on predicting human activities from RGB sequences by matching visual appearance and human motion among the activities executed at different progress levels [3, 8, 6, 4, 9].”
• Part-Activated Deep Reinforcement Learning for Action Prediction (2018, background): “Recognizing the action in the full length video is too luxury to wait for the whole video completed [44].”