10 citations · 11 across the 2 of their papers we have counts for
4 papers
Automatic Group Cohesiveness Detection With Multi-modal Features
Bin Zhu, Xin Guo, Kenneth Barner +1
Group cohesiveness is a compelling and often studied composition in group dynamics and group performance. The enormous number of web images of groups of people can be used to devel…
Graph Neural Networks for Image Understanding Based on Multiple Cues: Group Emotion Recognition and Event Recognition as Use Cases
Xin Guo, Luisa F. Polania, Bin Zhu +2
A graph neural network (GNN) for image understanding based on multiple cues is proposed in this paper. Compared to traditional feature and decision fusion approaches that neglect t…
An Improved multi-objective genetic algorithm based on orthogonal design and adaptive clustering pruning strategy
Xinwu Yang, Guizeng You, Chong Zhao +2
Two important characteristics of multi-objective evolutionary algorithms are distribution and convergency. As a classic multi-objective genetic algorithm, NSGA-II is widely used in…
Bayesian Convolutional Neural Networks for Compressed Sensing Restoration
Xinjie Lan, Xin Guo, Kenneth E. Barner
Deep Neural Networks (DNNs) have aroused great attention in Compressed Sensing (CS) restoration. However, the working mechanism of DNNs is not explainable, thereby it is unclear th…