diff --git a/README.md b/README.md
index 330a2df..fba9929 100644
--- a/README.md
+++ b/README.md
@@ -1,4 +1,4 @@
-# MMIF-CDDFuse
+# CDDFuse
 Codes for ***CDDFuse: Correlation-Driven Dual-Branch Feature Decomposition for Multi-Modality Image Fusion. (CVPR 2023)***
 
 [Zixiang Zhao](https://zhaozixiang1228.github.io/), [Haowen Bai](), [Jiangshe Zhang](http://gr.xjtu.edu.cn/web/jszhang), [Yulun Zhang](https://yulunzhang.com/), [Shuang Xu](https://shuangxu96.github.io/), [Zudi Lin](https://zudi-lin.github.io/), [Radu Timofte](https://www.informatik.uni-wuerzburg.de/computervision/home/) and [Luc Van Gool](https://vision.ee.ethz.ch/people-details.OTAyMzM=.TGlzdC8zMjQ4LC0xOTcxNDY1MTc4.html).
@@ -16,7 +16,7 @@ Codes for ***CDDFuse: Correlation-Driven Dual-Branch Feature Decomposition for M
 ## Citation
 
 ```
-@article{DBLP:journals/corr/abs-2211-14461,
+@article{CDDFuse,
   author    = {Zixiang Zhao and Haowen Bai and Jiangshe Zhang and Yulun Zhang and Shuang Xu and Zudi Lin and Radu Timofte and Luc Van Gool},
   title     = {CDDFuse: Correlation-Driven Dual-Branch Feature Decomposition for Multi-Modality Image Fusion},
   booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
@@ -127,11 +127,11 @@ MM segmentation
 
 ## Related Work
 
-- Zixiang Zhao, Shuang Xu, Chunxia Zhang, Junmin Liu, Jiangshe Zhang and Pengfei Li, *DIDFuse: Deep Image Decomposition for Infrared and Visible Image Fusion.* IJCAI 2020: 970-976, https://www.ijcai.org/Proceedings/2020/135.
+- Zixiang Zhao, Shuang Xu, Chunxia Zhang, Junmin Liu, Jiangshe Zhang and Pengfei Li, *DIDFuse: Deep Image Decomposition for Infrared and Visible Image Fusion.* **IJCAI 2020**: 970-976, https://www.ijcai.org/Proceedings/2020/135.
 
-- Zixiang Zhao, Shuang Xu, Jiangshe Zhang, Chengyang Liang, Chunxia Zhang and Junmin Liu, *Efficient and Model-Based Infrared and Visible Image Fusion via Algorithm Unrolling.* IEEE Transactions on Circuits and Systems for Video Technology, doi: 10.1109/TCSVT.2021.3075745, https://ieeexplore.ieee.org/document/9416456.
+- Zixiang Zhao, Shuang Xu, Jiangshe Zhang, Chengyang Liang, Chunxia Zhang and Junmin Liu, *Efficient and Model-Based Infrared and Visible Image Fusion via Algorithm Unrolling.* **IEEE Transactions on Circuits and Systems for Video Technology**, doi: 10.1109/TCSVT.2021.3075745, https://ieeexplore.ieee.org/document/9416456.
 
-- Zixiang Zhao, Jiangshe Zhang, Haowen Bai, Yicheng Wang, Yukun Cui, Lilun Deng, Kai Sun, Chunxia Zhang, Junmin Liu, Shuang Xu, *Deep Convolutional Sparse Coding Networks for Interpretable Image Fusion.* CVPR Workshop 2023.
+- Zixiang Zhao, Jiangshe Zhang, Haowen Bai, Yicheng Wang, Yukun Cui, Lilun Deng, Kai Sun, Chunxia Zhang, Junmin Liu, Shuang Xu, *Deep Convolutional Sparse Coding Networks for Interpretable Image Fusion.* **CVPR Workshop 2023**.
 
-- Zixiang Zhao, Shuang Xu, Chunxia Zhang, Junmin Liu, Jiangshe Zhang, *Bayesian fusion for infrared and visible images, Signal Processing,* Volume 177, 2020, 107734, ISSN 0165-1684, https://doi.org/10.1016/j.sigpro.2020.107734.
+- Zixiang Zhao, Shuang Xu, Chunxia Zhang, Junmin Liu, Jiangshe Zhang, *Bayesian fusion for infrared and visible images.* **Signal Processing**, Volume 177, 2020, 107734, ISSN 0165-1684, https://doi.org/10.1016/j.sigpro.2020.107734.