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HarukiYqM/README.md

About Me👋

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🎵 Focusing on computer vision.

💬 Now PhD student at JHU. Obtained my bachelor's degree from UIUC

💌 Alumni of UIUC-IFP and SHI Lab

Research

I have developed a series of self-attention operations for image restoration:

Cross-Scale Non-Local Attention (CVPR20) [Paper] [Code]

Non-local Sparse Attention (CVPR21) [Paper] [Code]

Pyramid Attention Networks (IJCV23) [Paper] [Code]

Please feel free to check them.

Pinned

  1. pytorch-ZSSR pytorch-ZSSR Public

    Pytorch implementation of "Zero Shot" Super Resolution

    Python 57 14

  2. Non-Local-Sparse-Attention Non-Local-Sparse-Attention Public

    PyTorch code for our paper "Image Super-Resolution with Non-Local Sparse Attention" (CVPR2021).

    Python 172 18

  3. SHI-Labs/Pyramid-Attention-Networks SHI-Labs/Pyramid-Attention-Networks Public

    [IJCV] Pyramid Attention Networks for Image Restoration: new SOTA results on multiple image restoration tasks: denoising, demosaicing, compression artifact reduction, super-resolution

    Python 383 53

  4. SHI-Labs/Cross-Scale-Non-Local-Attention SHI-Labs/Cross-Scale-Non-Local-Attention Public

    PyTorch code for our paper "Image Super-Resolution with Cross-Scale Non-Local Attention and Exhaustive Self-Exemplars Mining" (CVPR2020).

    Python 401 46

  5. All-In-One-Neural-Composition All-In-One-Neural-Composition Public

    PyTorch code for our paper "Resource-Adaptive Federated Learning with All-In-One Neural Composition" (NeurIPS2022)

    Python 11 1