36 citations · 67 across the 5 of their papers we have counts for
4 papers
Large-scale Isolated Gesture Recognition Using Convolutional Neural Networks
Pichao Wang, Wanqing Li, Song Liu +3
This paper proposes three simple, compact yet effective representations of depth sequences, referred to respectively as Dynamic Depth Images (DDI), Dynamic Depth Normal Images (DDN…
Large-scale Continuous Gesture Recognition Using Convolutional Neural Networks
Pichao Wang, Wanqing Li, Song Liu +3
This paper addresses the problem of continuous gesture recognition from sequences of depth maps using convolutional neutral networks (ConvNets). The proposed method first segments…
Deep Convolutional Neural Networks for Action Recognition Using Depth Map Sequences
Pichao Wang, Wanqing Li, Zhimin Gao +3
Recently, deep learning approach has achieved promising results in various fields of computer vision. In this paper, a new framework called Hierarchical Depth Motion Maps (HDMM) +…
Mining Mid-level Features for Action Recognition Based on Effective Skeleton Representation
Pichao Wang, Wanqing Li, Philip Ogunbona +2
Recently, mid-level features have shown promising performance in computer vision. Mid-level features learned by incorporating class-level information are potentially more discrimin…