# CVLab

**Repository Path**: liuyinwei/CVLab

## Basic Information

- **Project Name**: CVLab
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2019-07-14
- **Last Updated**: 2020-12-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

Computer Vision Lab
===================

每位同学的主要任务是：阅读论文和完成老师安排的实验任务。

Experimental Report
-------------------

实验任务以实验代码和实验报告的形式提交。实验报告的规范详见[这里](实验报告规范.docx)。为了节省彼此的时间，请大家务必认真阅读，并严格遵守。

实验相关的资料以码云项目组织，并使用GitKraken管理。请从[这里](https://gitee.com/xxlimg/MRIRecon)Fork项目模板。并将我的码云账号（mordekai\@qq.com）添加为你的项目管理员。

Reading Report
--------------

每周6晚20:00召开学术例会。每位做报告的同学需要提前1天预约，并上传报告的相关资料（论文、PPT、源码等）至服务器，以便后续主题查询！

上传地址：<http://139.159.237.132:13063>/共享给我的/研究主题及相关内容/

服务器账号和密码详见群公告。

**Report Scheduling**

1.  *2019/3/01*, 张晟源：*Deep Image Prior Zero-Shot Super-Resolution using Deep
    Internal Learning*, **CVPR**, 2018

2.  *2019/3/08*, 刘银伟：*Fast and Accurate Image Upscaling with
    Super-Resolution Forests Naive Bayes Super-Resolution Forest*, **CVPR**,

3.  *2019/3/15*, 楼鑫杰：*A Deep Cascade of Convolutional Neural Networks for
    Dynamic MR Image Reconstruction*, **TMI**, 2017,
    [code](https://github.com/js3611/Deep-MRI-Reconstruction)

4.  *2019/7/13*, 楼鑫杰：*Deep Residual Learning for Accelerated MRI Using
    Magnitude and Phase Networks*, **TBME**, 2018.

5.  *2019/7/20*, 刘银伟：*Deep Residual Learning for Compressed Sensing MRI*,
    **ISBI**, 2017.

6.  *2019/7/27*, 张晟源：*Acceleration of MR Parameter Mapping Using
    Annihilating Filter-Based Low Rank Hankel Matrix (ALOHA)*, **Magnetic
    Resonance in Medicine**, 2016,
    [code](https://bispl.weebly.com/aloha-for-mr-recon.html).

7.  *2019/8/03*, 郑希雨：*A New Detail-Preserving Regularization Scheme*, **SIAM
    Journal on Imaging Sciences**, 2014,
    [code](https://www.math.ucla.edu/~wotaoyin/papers/tgv_shearlet.html).

8.  *2019/8/10*, 楼鑫杰：*Decoupled Algorithm for MRI Reconstruction Using
    Nonlocal Block Matching Model: BM3D-MRI*, **Journal of Mathematical Imaging
    and Vision**, 2016,
    [code](https://web.itu.edu.tr/eksioglue/pubs/BM3D_MRI.htm).

9.  *2019/8/17*, 刘银伟：*Feedback Network for Image Super-Resolution*,
    **CVPR**, 2019.

10. *2019/8/24*, 张晟源：*Natural and Realistic Single Image Super-Resolution
    with Explicit Natural Manifold Discrimination*, **CVPR**, 2019.

11. *2019/8/31*, 郑希雨：*Learning Parallax Attention for Stereo Image
    Super-Resolution*, **CVPR**, 2019.

12. *2019/9/07*, 楼鑫杰：*Towards Real Scene Super-Resolution with Raw Images*,
    **CVPR**, 2019.