activity
20162021
most citedDisentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition

91 citations · 98 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2021

Sign Language Translation with Hierarchical Spatio-TemporalGraph Neural Network

Jichao Kan, Kun Hu, Markus Hagenbuchner +3

Sign language translation (SLT), which generates text in a spoken language from visual content in a sign language, is important to assist the hard-of-hearing community for their co…

cs.CV2020★ 91 cited

Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition

Ziyu Liu, Hongwen Zhang, Zhenghao Chen +2

Spatial-temporal graphs have been widely used by skeleton-based action recognition algorithms to model human action dynamics. To capture robust movement patterns from these graphs,…

cs.LG2019

Coupling Matrix Manifolds and Their Applications in Optimal Transport

Dai Shi, Junbin Gao, Xia Hong +2

Optimal transport (OT) is a powerful tool for measuring the distance between two defined probability distributions. In this paper, we develop a new manifold named the coupling matr…

cs.CV2019★ 3 cited

IntersectGAN: Learning Domain Intersection for Generating Images with Multiple Attributes

Zehui Yao, Boyan Zhang, Zhiyong Wang +3

Generative adversarial networks (GANs) have demonstrated great success in generating various visual content. However, images generated by existing GANs are often of attributes (e.g…

cs.LG2016★ 4 cited

Matrix Neural Networks

Junbin Gao, Yi Guo, Zhiyong Wang

Traditional neural networks assume vectorial inputs as the network is arranged as layers of single line of computing units called neurons. This special structure requires the non-v…