update readme

tiangexiang · Jul 30, 2021 · defb132 · defb132
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 # CurveNet
-Official implementation of "Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis", ICCV2021
+Official implementation of "Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis", ICCV 2021
 
 [![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/walk-in-the-cloud-learning-curves-for-point/3d-point-cloud-classification-on-modelnet40)](https://paperswithcode.com/sota/3d-point-cloud-classification-on-modelnet40?p=walk-in-the-cloud-learning-curves-for-point)  
 [![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/walk-in-the-cloud-learning-curves-for-point/3d-part-segmentation-on-shapenet-part)](https://paperswithcode.com/sota/3d-part-segmentation-on-shapenet-part?p=walk-in-the-cloud-learning-curves-for-point)
 
-Project page: https://curvenet.github.io/  
-Paper: https://arxiv.org/pdf/2105.01288v1.pdf  
+Paper: https://arxiv.org/pdf/2105.01288.pdf
 
 **Code comming soon, stay tuned!**
 
@@ -19,8 +18,8 @@ If you find this repo useful in your work or research, please cite:
 @article{xiang2021walk,
   title={Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis},
   author={Xiang, Tiange and Zhang, Chaoyi and Song, Yang and Yu, Jianhui and Cai, Weidong},
-  journal={arXiv e-prints},
-  pages={arXiv--2105},
-  year={2021}
+  booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
+  month = {October},
+  year = {2021}
 }
 ```