Weixia Zhang

Orcid: 0000-0002-3634-2630

According to our database1, Weixia Zhang authored at least 23 papers between 2016 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Task-Specific Normalization for Continual Learning of Blind Image Quality Models.
IEEE Trans. Image Process., 2024

A Comparative Study of Perceptual Quality Metrics for Audio-driven Talking Head Videos.
CoRR, 2024

Comparison of No-Reference Image Quality Models via MAP Estimation in Diffusion Latents.
CoRR, 2024

2023
Continual Learning for Blind Image Quality Assessment.
IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

Q-Align: Teaching LMMs for Visual Scoring via Discrete Text-Defined Levels.
CoRR, 2023

Llieformer: A Low-Light Image Enhancement Transformer Network with a Degraded Restoration Model.
Proceedings of the IEEE International Conference on Image Processing, 2023

Blind Image Quality Assessment via Vision-Language Correspondence: A Multitask Learning Perspective.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Blindly Assess Quality of In-the-Wild Videos via Quality-Aware Pre-Training and Motion Perception.
IEEE Trans. Circuits Syst. Video Technol., 2022

Perceptual Attacks of No-Reference Image Quality Models with Human-in-the-Loop.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning a Blind Quality Evaluator for UGC Videos in Perceptually Relevant Domains.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

2021
Uncertainty-Aware Blind Image Quality Assessment in the Laboratory and Wild.
IEEE Trans. Image Process., 2021

Language-Guided Navigation via Cross-Modal Grounding and Alternate Adversarial Learning.
IEEE Trans. Circuits Syst. Video Technol., 2021

Learning to predict the quality of distorted-then-compressed images via a deep neural network.
J. Vis. Commun. Image Represent., 2021

2020
Blind Image Quality Assessment Using a Deep Bilinear Convolutional Neural Network.
IEEE Trans. Circuits Syst. Video Technol., 2020

Dual Head Network for No-Reference Quality Assessment Towards Realistic Night-Time Images.
IEEE Access, 2020

Learning To Blindly Assess Image Quality In The Laboratory And Wild.
Proceedings of the IEEE International Conference on Image Processing, 2020

2019
No-reference quality assessment for contrast-altered images using an end-to-end deep framework.
J. Electronic Imaging, 2019

Learning to Blindly Assess Image Quality in the Laboratory and Wild.
CoRR, 2019

Hierarchical Features Fusion for Image Aesthetics Assessment.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

2018
Blind image quality assessment in multiple bandpass and redundancy domains.
Digit. Signal Process., 2018

2017
Erratum to: Refining deep convolutional features for improving fine-grained image recognition.
EURASIP J. Image Video Process., 2017

Refining deep convolutional features for improving fine-grained image recognition.
EURASIP J. Image Video Process., 2017

2016
Blind Image Quality Assessment Based on Natural Redundancy Statistics.
Proceedings of the Computer Vision - ACCV 2016, 2016


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