Two streams Recurrent Neural Networks for Large-Scale Continuous Gesture Recognition

By Xiujuan Chai, Zhipeng Liu, Fang Yin, Zhuang Liu, Xilin Chen. 2016

90 citations recorded by the source corpus.

Subfields: Biomedical Engineering, 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 Biomedical Engineering

1. Pichao Wang
2. Wanqing Li
3. Philip O. Ogunbona
4. Zhimin Gao
5. Chang-Fu Tang
6. Yuyao Zhang
7. Song Liu
8. Richard Bowden

In Computer Vision and Pattern Recognition

1. Pichao Wang
2. Wanqing Li
3. Philip O. Ogunbona
4. Zhimin Gao
5. Chang-Fu Tang
6. Yuyao Zhang
7. Song Liu
8. Oscar Koller

In Human-Computer Interaction

1. Pichao Wang
2. Philip O. Ogunbona
3. Wanqing Li
4. Zhimin Gao
5. Chang-Fu Tang
6. Oscar Koller
7. Necati Cihan Camgöz
8. Richard Bowden

Citations in the corpus

• Using Convolutional 3D Neural Networks for User-independent continuous gesture recognition (2016, methodology): “Other graphical models such as Hidden Conditional Random Fields [16], Autoregressive Models [17] and Recurrent Neural Networks [8], [18] have also been deployed for the gesture recognition task.”
• Depth Pooling Based Large-Scale 3-D Action Recognition With Convolutional Neural Networks (2018, methodology): “RNNs tend to overemphasize the temporal information especially when Manuscript received on 15-Apr-2017; revised on 10-Dec-2017 and 25-Feb-2018; accepted on 19-Mar-2018 (Corresponding author: Zhimin Gao) P. Wang, W. Li, Z. Gao and P. Ogunbona are with the Advanced Multimedia Research Lab, University ”
• A Survey on Deep Learning Based Approaches for Action and Gesture Recognition in Image Sequences (2017, unknown): “2016 isoGD, conGD G ICPR [13] [51], [117]”
• Large-scale Continuous Gesture Recognition Using Convolutional Neural Networks (2016, background): “Rank Team Mean Jaccard Index JS 1 ICT NHCI [39] 0.”