Yonghuai Liu

Also published under:Y. Liu, YongHuai Liu

Affiliation

Department of Computer Science, Edge Hill University, Ormskirk, U.K

Topic

Bounding Box,Convolutional Neural Network,Feature Maps,2D Images,2D Projection Images,3D Convolution,3D Detection,3D Mesh,3D Object Detection,3D Point,3D Scene,3D Surface,Accurate Object Detection,Action Recognition,Affective Computing,Aneurysm,Attention Layer,Attention Mechanism,Attention Model,Automatic Feature,Automatic Feature Selection,Automatic Selection,Basic Convolutional Neural Network,Body Pose,Category Information,Center Bias,Clustering Performance,Clusters In Space,Common Semantics,Common Space,Computer Vision,Conditional Random Field,Contrast Variation,Contrastive Loss,Convolutional Layers,Convolutional Neural Network Architecture,Convolutional Neural Network Features,Data Center,Deep Learning,Deep Models,Dense Point Cloud,Depth Map,Detection Head,Dice Score,Difficulty Level,Effective Learning,Facial Expression Recognition,Facial Expressions,Feature Learning,Feature Space,

Biography

Yonghuai Liu (Senior Member, IEEE) received the first Ph.D. degree from Northwestern Polytechnical University, Xi’an, China, in 1997, and the second Ph.D. degree from the University of Hull, U.K., in 2001.
He has been a Professor and the Director of the Intelligent Visual Computing Research Centre, Edge Hill University, since 2018. His primary research interests lie in 3-D computer vision, image processing, pattern recognition, machine learning, artificial intelligence, and intelligent systems. He is a fellow of the British Computer Society and the Higher Education Academy of the United Kingdom. He is an area editor/an associate editor and an editorial board member of a number of international journals and conference proceedings.