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Author: leoxiaobin

README.md

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 # Deep High-Resolution Representation Learning for Human Pose Estimation (accepted to CVPR2019)
 ## News
 - If you are interested in internship or research positions related to computer vision in ByteDance AI Lab, feel free to contact me(leoxiaobin-at-gmail.com).
-- [2019/08/27] HigherHRNet is now on [ArXiv](https://arxiv.org/abs/1908.10357), which is a bottom-up approach for human pose estimation powerd by HRNet. We will also release code and models, stay tuned!
+- [2019/08/27] HigherHRNet is now on [ArXiv](https://arxiv.org/abs/1908.10357), which is a bottom-up approach for human pose estimation powerd by HRNet. We will also release code and models at [Higher-HRNet-Human-Pose-Estimation](https://github.com/HRNet/Higher-HRNet-Human-Pose-Estimation), stay tuned!
 - Our new work [High-Resolution Representations for Labeling Pixels and Regions](https://arxiv.org/abs/1904.04514) is available at [HRNet](https://github.com/HRNet). Our HRNet has been applied to a wide range of vision tasks, such as [image classification](https://github.com/HRNet/HRNet-Image-Classification), [objection detection](https://github.com/HRNet/HRNet-Object-Detection), [semantic segmentation](https://github.com/HRNet/HRNet-Semantic-Segmentation) and [facial landmark](https://github.com/HRNet/HRNet-Facial-Landmark-Detection).
 
 ## Introduction