This is your work, valued

College Station, TX

Zhengzhong Tu

Expert
@vztu

Assistant Professor of CS at TAMU

vztu.github.io

maxim-pytorch. [CVPR 2022 Oral] PyTorch re-implementation for "MAXIM: Multi-Axis MLP for Image Processing", with *training code*. Official Jax repo: https://github.com/google-research/maxim

182

VIDEVAL. [IEEE TIP'2021] "UGC-VQA: Benchmarking Blind Video Quality Assessment for User Generated Content", Zhengzhong Tu, Yilin Wang, Neil Birkbeck, Balu Adsumilli, Alan C. Bovik

135

BVQA_Benchmark. A resource list and performance benchmark for blind video quality assessment (BVQA) models on user-generated content (UGC) datasets. [IEEE TIP'2021] "UGC-VQA: Benchmarking Blind Video Quality Assessment for User Generated Content", Zhengzhong Tu, Yilin Wang, Neil Birkbeck, Balu Adsumilli, Alan C. Bovik

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RAPIQUE. [IEEE OJSP'2021] "RAPIQUE: Rapid and Accurate Video Quality Prediction of User Generated Content", Zhengzhong Tu, Xiangxu Yu, Yilin Wang, Neil Birkbeck, Balu Adsumilli, Alan C. Bovik

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MAXIM. [CVPR 2022] Unofficial repository for "MAXIM: Multi-Axis MLP for Image Processing". Official repo: https://github.com/google-research/maxim

20

Temporal_Pooling. Implementation of temporal pooling methods studied in [ICIP'20] A Comparative Evaluation Of Temporal Pooling Methods For Blind Video Quality Assessment

7

CSCE689_F25. Python

6

VMEON-pytorch. This is a GitHub copy of [ACM Multimedia'18] End-to-End Blind Quality Assessment of Compressed Videos Using Deep Neural Networks.

4

DebandingNet. Python

3

paq2piq. PaQ2PiQ in PyTorch

2

LIVE-YT-Banding-Database. This is the repository for LIVE-YouTube banding database.

2

bband-adaband. MATLAB

2

llm-reasoning-tutorial. Resources for few-shot reasoning tutorial

1

video-classification. Tutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101

1

Awesome-Visual-Transformer. Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)

1

awesome-mlp-papers. Recent Advances in MLP-based Models (MLP is all you need!)

1

maxvit. Python

1

FFA-Net. FFA-Net: Feature Fusion Attention Network for Single Image Dehazing

1

PerceptualSimilarity. LPIPS metric. pip install lpips

1