Added human pose estimation papers #71

README.md

@@ -29,6 +29,7 @@ Please feel free to [pull requests](https://github.com/kjw0612/awesome-deep-visi
   - [Semantic Segmentation](#semantic-segmentation)
   - [Visual Attention and Saliency](#visual-attention-and-saliency)
   - [Object Recognition](#object-recognition)
+  - [Human Pose Estimation](#human-pose-estimation)
   - [Understanding CNN](#understanding-cnn)
   - [Image and Language](#image-and-language)
     - [Image Captioning](#image-captioning)
@@ -231,6 +232,14 @@ Please feel free to [pull requests](https://github.com/kjw0612/awesome-deep-visi
 * FV-CNN [[Paper]](http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Cimpoi_Deep_Filter_Banks_2015_CVPR_paper.pdf)
   * Mircea Cimpoi, Subhransu Maji, Andrea Vedaldi, Deep Filter Banks for Texture Recognition and Segmentation, CVPR, 2015.
 
+### Human Pose Estimation
+* Zhe Cao, Tomas Simon, Shih-En Wei, and Yaser Sheikh, Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields, CVPR, 2017.
+* Leonid Pishchulin, Eldar Insafutdinov, Siyu Tang, Bjoern Andres, Mykhaylo Andriluka, Peter Gehler, and Bernt Schiele, Deepcut: Joint subset partition and labeling for multi person pose estimation, CVPR, 2016.
+* Shih-En Wei, Varun Ramakrishna, Takeo Kanade, and Yaser Sheikh, Convolutional pose machines, CVPR, 2016.
+* Alejandro Newell, Kaiyu Yang, and Jia Deng, Stacked hourglass networks for human pose estimation, ECCV, 2016.
+* Tomas Pfister, James Charles, and Andrew Zisserman, Flowing convnets for human pose estimation in videos, ICCV, 2015.
+* Jonathan J. Tompson, Arjun Jain, Yann LeCun, Christoph Bregler, Joint training of a convolutional network and a graphical model for human pose estimation, NIPS, 2014.
+
 ### Understanding CNN
 ![understanding](https://cloud.githubusercontent.com/assets/5226447/8452083/1aaa0066-2023-11e5-800b-2248ead51584.PNG)
 (from Aravindh Mahendran, Andrea Vedaldi, Understanding Deep Image Representations by Inverting Them, CVPR, 2015.)