Update README.md

README.md

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 # Self-Supervised Deep Prior Deformation Network
 Code for "Category-Level 6D Object Pose and Size Estimation using Self-Supervised Deep Prior Deformation Networks". ECCV2022.
 
+[[Paper]](https://link.springer.com/chapter/10.1007/978-3-031-20077-9_2) [[Arxiv]](https://arxiv.org/abs/2207.05444)
+
 Created by [Jiehong Lin](https://jiehonglin.github.io/), Zewei Wei, Changxing Ding, and [Kui Jia](http://kuijia.site/).
 
 ![image](https://github.com/JiehongLin/Self-DPDN/blob/main/pic/overview.jpg)
 
+
+## News
+- 2023/08: Our another work named [VI-Net](https://github.com/JiehongLin/VI-Net) is accepted by ICCV2023.
+- 2023/07: [Codes](https://github.com/JiehongLin/Self-DPDN/tree/main/DPDN-Pytorch1.9.0-Cuda11.2) tested with Pytorch 1.9.0 and CUDA 11.2 are also provided.
+
 ## Requirements
 The code has been tested with
 - python 3.6.5
@@ -22,7 +29,7 @@ cd model/pointnet2
 python setup.py install
 ```
 
-[Codes](https://github.com/JiehongLin/Self-DPDN/tree/main/DPDN-Pytorch1.9.0-Cuda11.2) tested with Pytorch 1.9.0 and CUDA 11.2 are also provided.
+
 
 ## Data Processing
 
@@ -99,6 +106,20 @@ Qualitative results on REAL275 test set:
 | supervised  | 83.4 | 76.0 | 46.0 | 50.7 | 70.4 | 78.4 |
 
 
+## Citation
+If you find our work useful in your research, please consider citing:
+
+    @inproceedings{lin2022category,
+      title={Category-level 6D object pose and size estimation using self-supervised deep prior deformation networks},
+      author={Lin, Jiehong and Wei, Zewei and Ding, Changxing and Jia, Kui},
+      booktitle={European Conference on Computer Vision},
+      pages={19--34},
+      year={2022},
+      organization={Springer}
+    }
+
+
+
 ## Acknowledgements
 
 Our implementation leverages the code from [NOCS](https://github.com/hughw19/NOCS_CVPR2019), [DualPoseNet](https://github.com/Gorilla-Lab-SCUT/DualPoseNet), and [SPD](https://github.com/mentian/object-deformnet).