[Enhance] add citation format (#374)

* add citation format

* add CN version citation format

* delete 's

* delete 's

* modify citation title

README.md

@@ -113,6 +113,19 @@ Please refer to [getting_started.md](docs/getting_started.md) for installation.
 
 Please see [getting_started.md](docs/getting_started.md) for the basic usage of MMDetection3D. We provide guidance for quick run [with existing dataset](docs/1_exist_data_model.md) and [with customized dataset](docs/2_new_data_model.md) for beginners. There are also tutorials for [learning configuration systems](docs/tutorials/config.md), [adding new dataset](docs/tutorials/customize_dataset.md), [designing data pipeline](docs/tutorials/data_pipeline.md), [customizing models](docs/tutorials/customize_models.md), [customizing runtime settings](docs/tutorials/customize_runtime.md) and [Waymo dataset](docs/tutorials/waymo.md).
 
+## Citation
+
+If you find this project useful in your research, please consider cite:
+
+```latex
+@misc{mmdet3d2020,
+    title={{MMDetection3D: OpenMMLab} next-generation platform for general 3D object detection},
+    author={MMDetection3D Contributors},
+    howpublished = {\url{https://github.com/open-mmlab/mmdetection3d}},
+    year={2020}
+}
+```
+
 ## Contributing
 
 We appreciate all contributions to improve MMDetection3D. Please refer to [CONTRIBUTING.md](.github/CONTRIBUTING.md) for the contributing guideline.
@@ -121,3 +134,15 @@ We appreciate all contributions to improve MMDetection3D. Please refer to [CONTR
 
 MMDetection3D is an open source project that is contributed by researchers and engineers from various colleges and companies. We appreciate all the contributors as well as users who give valuable feedbacks.
 We wish that the toolbox and benchmark could serve the growing research community by providing a flexible toolkit to reimplement existing methods and develop their own new 3D detectors.
+
+## Projects in OpenMMLab
+
+- [MMCV](https://github.com/open-mmlab/mmcv): OpenMMLab foundational library for computer vision.
+- [MMClassification](https://github.com/open-mmlab/mmclassification): OpenMMLab image classification toolbox and benchmark.
+- [MMDetection](https://github.com/open-mmlab/mmdetection): OpenMMLab detection toolbox and benchmark.
+- [MMDetection3D](https://github.com/open-mmlab/mmdetection3d): OpenMMLab next-generation platform for general 3D object detection.
+- [MMSegmentation](https://github.com/open-mmlab/mmsegmentation): OpenMMLab semantic segmentation toolbox and benchmark.
+- [MMAction2](https://github.com/open-mmlab/mmaction2): OpenMMLab's next-generation action understanding toolbox and benchmark.
+- [MMTracking](https://github.com/open-mmlab/mmtracking): OpenMMLab video perception toolbox and benchmark.
+- [MMPose](https://github.com/open-mmlab/mmpose): OpenMMLab pose estimation toolbox and benchmark.
+- [MMEditing](https://github.com/open-mmlab/mmediting): OpenMMLab image and video editing toolbox.

README_zh-CN.md

@@ -112,6 +112,19 @@ MMDetection3D 是一个基于 PyTorch 的目标检测开源工具箱, 下一代
 
 请参考[快速入门文档](docs/get_started.md)学习 MMDetection3D 的基本使用。 我们为新手提供了分别针对[已有数据集](docs/1_exist_data_model.md)和[新数据集](docs/2_new_data_model.md)的使用指南。我们也提供了一些进阶教程，内容覆盖了[学习配置文件](docs/tutorials/config.md), [增加数据集支持](docs/tutorials/customize_dataset.md), [设计新的数据预处理流程](docs/tutorials/data_pipeline.md), [增加自定义模型](docs/tutorials/customize_models.md), [增加自定义的运行时配置](docs/tutorials/customize_runtime.md)和 [Waymo 数据集](docs/tutorials/waymo.md).
 
+## 引用
+
+如果你觉得本项目对你的研究工作有所帮助，请参考如下 bibtex 引用 MMdetection3D
+
+```latex
+@misc{mmdet3d2020,
+    title={{MMDetection3D: OpenMMLab} next-generation platform for general 3D object detection},
+    author={MMDetection3D Contributors},
+    howpublished = {\url{https://github.com/open-mmlab/mmdetection3d}},
+    year={2020}
+}
+```
+
 ## 贡献指南
 
 我们感谢所有的贡献者为改进和提升 MMDetection3D 所作出的努力。请参考[贡献指南](.github/CONTRIBUTING.md)来了解参与项目贡献的相关指引。
@@ -119,3 +132,15 @@ MMDetection3D 是一个基于 PyTorch 的目标检测开源工具箱, 下一代
 ## 致谢
 
 MMDetection3D 是一款由来自不同高校和企业的研发人员共同参与贡献的开源项目。我们感谢所有为项目提供算法复现和新功能支持的贡献者，以及提供宝贵反馈的用户。我们希望这个工具箱和基准测试可以为社区提供灵活的代码工具，供用户复现已有算法并开发自己的新的 3D 检测模型。
+
+## OpenMMLab 的其他项目
+
+- [MMCV](https://github.com/open-mmlab/mmcv): OpenMMLab 计算机视觉基础库
+- [MMClassification](https://github.com/open-mmlab/mmclassification): OpenMMLab 图像分类工具箱
+- [MMDetection](https://github.com/open-mmlab/mmdetection): OpenMMLab 目标检测工具箱
+- [MMDetection3D](https://github.com/open-mmlab/mmdetection3d): OpenMMLab 新一代通用 3D 目标检测平台
+- [MMSegmentation](https://github.com/open-mmlab/mmsegmentation): OpenMMLab 语义分割工具箱
+- [MMAction2](https://github.com/open-mmlab/mmaction2): OpenMMLab 新一代视频理解工具箱
+- [MMTracking](https://github.com/open-mmlab/mmtracking): OpenMMLab 一体化视频目标感知平台
+- [MMPose](https://github.com/open-mmlab/mmpose): OpenMMLab 姿态估计工具箱
+- [MMEditing](https://github.com/open-mmlab/mmediting): OpenMMLab 图像视频编辑工具箱