Teo (Timothy) Wu Haoning's repositories
FAST-VQA-and-FasterVQA
Official Code for [ECCV2022 Paper] FAST-VQA: Efficient End-to-End Video Quality Assessment with Fragment Sampling, and its extended version FasterVQA.
Co-Instruct
④[Comparison among Multiple Images!] A study on open-ended multi-image quality comparison: a dataset, a model and a benchmark.
MaxVQA-dev
[ACMMM, 2023] "Towards Explainable Video Quality Assessment: A Database and a Language-Prompted Approach"
Q-Bench-fork
TL, DR: A systematic benchmark for multi-modality LLMs (MLLMs) on low-level vision and visual quality assessment.
Q-Instruct
TL, DR: Low-level visual instruction tuning, with dataset and fine-tuned checkpoints.
teowu.github.io
Haoning Wu's Homepage
transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
CLIP-IQA
[AAAI 2023] Exploring CLIP for Assessing the Look and Feel of Images
just-ask
[TPAMI Special Issue on ICCV 2021 Best Papers, Oral] Just Ask: Learning to Answer Questions from Millions of Narrated Videos
lernapparat
Various Notebooks for Lernapparat.de
LinearityIQA
Norm-in-Norm Loss with Faster Convergence and Better Performance for Image Quality Assessment (ACM MM 2020)
MathInfoAge
Python Code Sources for Lecture MathInfoAge
old_TimothyHTimothy.github.io
My homepage
opencompass
A fork for opencompass to integrate Q-Bench into irt.
PKUAutoSubmit
PKU一键出入校备案小工具
pytorch-CycleGAN-and-pix2pix
Image-to-Image Translation in PyTorch
Pytorch-UNet
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
RestorationFlow
Normalizing Flows for Image Restoration, based on Glow-Pytorch
Video-Swin-Transformer
This is an official implementation for "Video Swin Transformers".
VSFA
[official] Quality Assessment of In-the-Wild Videos (ACM MM 2019)