Weixia Zhang | DeepAI

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Featured Co-authors

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∙ 03/27/2023

Blind Image Quality Assessment via Vision-Language Correspondence: A Multitask Learning Perspective

We aim at advancing blind image quality assessment (BIQA), which predict...

0 Weixia Zhang, et al. ∙

∙ 10/03/2022

Perceptual Attacks of No-Reference Image Quality Models with Human-in-the-Loop

No-reference image quality assessment (NR-IQA) aims to quantify how huma...

0 Weixia Zhang, et al. ∙

∙ 08/19/2021

Blindly Assess Quality of In-the-Wild Videos via Quality-aware Pre-training and Motion Perception

Perceptual quality assessment of the videos acquired in the wilds is of ...

18 Bowen Li, et al. ∙

∙ 07/28/2021

Task-Specific Normalization for Continual Learning of Blind Image Quality Models

The computational vision community has recently paid attention to contin...

0 Weixia Zhang, et al. ∙

∙ 02/19/2021

Continual Learning for Blind Image Quality Assessment

The explosive growth of image data facilitates the fast development of i...

0 Weixia Zhang, et al. ∙

∙ 11/22/2020

Language-guided Navigation via Cross-Modal Grounding and Alternate Adversarial Learning

The emerging vision-and-language navigation (VLN) problem aims at learni...

1 Weixia Zhang, et al. ∙

∙ 05/28/2020

Uncertainty-Aware Blind Image Quality Assessment in the Laboratory and Wild

Performance of blind image quality assessment (BIQA) models has been sig...

0 Weixia Zhang, et al. ∙

∙ 07/05/2019

Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network

We propose a deep bilinear model for blind image quality assessment (BIQ...

3 Weixia Zhang, et al. ∙

∙ 07/01/2019

Learning to Blindly Assess Image Quality in the Laboratory and Wild

Previous models for blind image quality assessment (BIQA) can only be tr...

0 Weixia Zhang, et al. ∙

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