Yongxu Liu

Orcid: 0009-0008-5719-1107

Affiliations:
  • Xidian University, Xi'an, China


According to our database1, Yongxu Liu authored at least 12 papers between 2017 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Scaling and Masking: A New Paradigm of Data Sampling for Image and Video Quality Assessment.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Quality Assessment of UGC Videos Based on Decomposition and Recomposition.
IEEE Trans. Circuits Syst. Video Technol., March, 2023

Full Range Feature Extraction Network for Hyperspectral Image Classification.
Proceedings of the 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2023

2022
Video Quality Assessment With Serial Dependence Modeling.
IEEE Trans. Multim., 2022

Spatiotemporal Representation Learning for Blind Video Quality Assessment.
IEEE Trans. Circuits Syst. Video Technol., 2022

2021
No-Reference Video Quality Assessment with Heterogeneous Knowledge Ensemble.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

2020
Perceptual Sensitivity Based Image Structure-Texture Decomposition.
Proceedings of the 3rd IEEE Conference on Multimedia Information Processing and Retrieval, 2020

2019
Quality Assessment for Video With Degradation Along Salient Trajectories.
IEEE Trans. Multim., 2019

2018
Attended Visual Content Degradation Based Reduced Reference Image Quality Assessment.
IEEE Access, 2018

Motion Trajectory based Spatial-Temporal Degradation Measurement for Video Quality Assessment.
Proceedings of the IEEE Visual Communications and Image Processing, 2018

2017
Saliency change based reduced reference image quality assessment.
Proceedings of the 2017 IEEE Visual Communications and Image Processing, 2017

Hierarchical Feature Degradation Based Blind Image Quality Assessment.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017


  Loading...