Xiaoying Guo

Orcid: 0000-0002-8560-4676

According to our database1, Xiaoying Guo authored at least 14 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Abstract painting image orientation recognition based on eye movement and multitask learning.
J. Electronic Imaging, 2024

ST2SI: Image Style Transfer via Vision Transformer using Spatial Interaction.
Comput. Graph., 2024

2023
Image Visual Complexity Evaluation Based on Deep Ordinal Regression.
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

2022
Visually Improved Digital Media Communication Using Virtual Reality Technology and Digital Twin.
J. Interconnect. Networks, 2022

A novel visual classification framework on panoramic attention mechanism network.
IET Comput. Vis., 2022

2021
Automatic orientation detection of abstract painting.
Knowl. Based Syst., 2021

2020
Classification of Chinese and Western Painting Images Based on Brushstrokes Feature.
Proceedings of the Entertainment Computing - ICEC 2020, 2020

2019
Deep Temporal-Spatial Aggregation for Video-Based Facial Expression Recognition.
Symmetry, 2019

A Novel Architecture of Pedestrian Detection.
Proceedings of the 2019 IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2019

What is the Correct Hanging Orientation for Abstract Painting?: Orientation Judgment and Detection.
Proceedings of the 3rd International Conference on Computer Science and Application Engineering, 2019

2018
Assessment model for perceived visual complexity of painting images.
Knowl. Based Syst., 2018

合成纹理图像的视觉相似性眼动分析 (Eye-movement Analysis of Visual Similarity Perception on Synthesized Texture Images).
计算机科学, 2018

2017
基于小波图像融合算法和改进FCM聚类的MR脑部图像分割算法 (MR Brain Image Segmentation Method Based on Wavelet Transform Image Fusion Algorithm and Improved FCM Clustering).
计算机科学, 2017

2013
Visual complexity assessment of painting images.
Proceedings of the IEEE International Conference on Image Processing, 2013


  Loading...