Deep Fully-Connected Part-Based Models for Human Pose Estimation

Rodrigo de Bem, Anurag Arnab, Stuart Golodetz, Michael Sapienza, Philip H. S. Torr. Deep Fully-Connected Part-Based Models for Human Pose Estimation. In Jun Zhu 0001, Ichiro Takeuchi, editors, Proceedings of The 10th Asian Conference on Machine Learning, ACML 2018, Beijing, China, November 14-16, 2018. Volume 95 of Proceedings of Machine Learning Research, pages 327-342, JMLR.org, 2018. [doi]

@inproceedings{BemAGST18,
  title = {Deep Fully-Connected Part-Based Models for Human Pose Estimation},
  author = {Rodrigo de Bem and Anurag Arnab and Stuart Golodetz and Michael Sapienza and Philip H. S. Torr},
  year = {2018},
  url = {http://proceedings.mlr.press/v95/de-bem18a.html},
  researchr = {https://researchr.org/publication/BemAGST18},
  cites = {0},
  citedby = {0},
  pages = {327-342},
  booktitle = {Proceedings of The 10th Asian Conference on Machine Learning, ACML 2018, Beijing, China, November 14-16, 2018},
  editor = {Jun Zhu 0001 and Ichiro Takeuchi},
  volume = {95},
  series = {Proceedings of Machine Learning Research},
  publisher = {JMLR.org},
}