36 citations · 77 across the 9 of their papers we have counts for
9 papers · 1 filter
A Unified Multimodal De- and Re-coupling Framework for RGB-D Motion Recognition
Benjia Zhou, Pichao Wang, Jun Wan +2
Motion recognition is a promising direction in computer vision, but the training of video classification models is much harder than images due to insufficient data and considerable…
ELSA: Enhanced Local Self-Attention for Vision Transformer
Jingkai Zhou, Pichao Wang, Fan Wang +3
Self-attention is powerful in modeling long-range dependencies, but it is weak in local finer-level feature learning. The performance of local self-attention (LSA) is just on par w…
Decoupling and Recoupling Spatiotemporal Representation for RGB-D-based Motion Recognition
Benjia Zhou, Pichao Wang, Jun Wan +6
Decoupling spatiotemporal representation refers to decomposing the spatial and temporal features into dimension-independent factors. Although previous RGB-D-based motion recognitio…
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…
Action Recognition Based on Joint Trajectory Maps with Convolutional Neural Networks
Pichao Wang, Wanqing Li, Chuankun Li +1
Convolutional Neural Networks (ConvNets) have recently shown promising performance in many computer vision tasks, especially image-based recognition. How to effectively apply ConvN…
Action Recognition Based on Joint Trajectory Maps Using Convolutional Neural Networks
Pichao Wang, Zhaoyang Li, Yonghong Hou +1
Recently, Convolutional Neural Networks (ConvNets) have shown promising performances in many computer vision tasks, especially image-based recognition. How to effectively use ConvN…