activity
20172023
most citedA Central Difference Graph Convolutional Operator for Skeleton-Based Action Recognition

64 citations · 206 across the 17 of their papers we have counts for

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Showing 2021Show all

5 papers · 1 filter

cs.CV2021★ 21 cited

Multi-View Stereo with Transformer

Jie Zhu, Bo Peng, Wanqing Li +3

This paper proposes a network, referred to as MVSTR, for Multi-View Stereo (MVS). It is built upon Transformer and is capable of extracting dense features with global context and 3…

cs.CV2021★ 64 cited

A Central Difference Graph Convolutional Operator for Skeleton-Based Action Recognition

Shuangyan Miao, Yonghong Hou, Zhimin Gao +2

This paper proposes a new graph convolutional operator called central difference graph convolution (CDGC) for skeleton based action recognition. It is not only able to aggregate no…

cs.CV2021

Novel View Synthesis from a Single Image via Unsupervised learning

Bingzheng Liu, Jianjun Lei, Bo Peng +3

View synthesis aims to generate novel views from one or more given source views. Although existing methods have achieved promising performance, they usually require paired views of…

cs.CV2021★ 8 cited

A Two-stream Neural Network for Pose-based Hand Gesture Recognition

Chuankun Li, Shuai Li, Yanbo Gao +2

Pose based hand gesture recognition has been widely studied in the recent years. Compared with full body action recognition, hand gesture involves joints that are more spatially cl…

cs.CV2021★ 7 cited

Trear: Transformer-based RGB-D Egocentric Action Recognition

Xiangyu Li, Yonghong Hou, Pichao Wang +3

In this paper, we propose a \textbf{Tr}ansformer-based RGB-D \textbf{e}gocentric \textbf{a}ction \textbf{r}ecognition framework, called Trear. It consists of two modules, inter-fra…