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Weixia Zhang (张维夏)👋

I am an Associate Research Scientist at AI Institute, Shanghai Jiao Tong University. Currently, I work on perceptual quality evaluation and enhancement for visual content produced by various manners, i.e., PGC, UGC, and AIGC.

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Weixia Zhang's Projects

ava_downloader icon ava_downloader

:arrow_double_down: Script to download AVA database from the website (A Large-Scale Database for Aesthetic Visual Analysis)

bilinear-cnn icon bilinear-cnn

PyTorch implementation of bilinear CNN for fine-grained image recognition

biqa_cl icon biqa_cl

[TPAMI2023] Continual Learning for Blind Image Quality Assessment

dbcnn icon dbcnn

Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network

dbcnn-pytorch icon dbcnn-pytorch

An experimental Pytorch implementation of Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network

iqa-pytorch icon iqa-pytorch

👁️ 🖼️ 🔥PyTorch Toolbox for Image Quality Assessment, including LPIPS, FID, NIQE, NRQM(Ma), MUSIQ, NIMA, DBCNN, WaDIQaM, BRISQUE, PI and more...

liqe icon liqe

[CVPR2023] Blind Image Quality Assessment via Vision-Language Correspondence: A Multitask Learning Perspective

perceptualattack_biqa icon perceptualattack_biqa

[NeurIPS2022] Perceptual Attacks of No-Reference Image Quality Models with Human-in-the-Loop

perceptualimageerror icon perceptualimageerror

A metric for Perceptual Image-Error Assessment through Pairwise Preference (PieAPP at CVPR 2018).

regretful-agent icon regretful-agent

PyTorch code for CVPR 2019 paper: The Regretful Agent: Heuristic-Aided Navigation through Progress Estimation

tcsvt-2022-bvqa icon tcsvt-2022-bvqa

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

tsn-iqa icon tsn-iqa

[TIP2024] Task-specific normalization for continual learning of blind image quality models

unique icon unique

The repository for 'Uncertainty-aware blind image quality assessment in the laboratory and wild' and 'Learning to blindly assess image quality in the laboratory and wild'

vit-pytorch icon vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

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