FeaStNet: Feature-Steered Graph Convolutions for 3D Shape Analysis

Nitika Verma, Edmond Boyer, Jakob Verbeek. FeaStNet: Feature-Steered Graph Convolutions for 3D Shape Analysis. In 2018 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2018, Salt Lake City, UT, USA, June 18-22, 2018. pages 2598-2606, IEEE Computer Society, 2018. [doi]

@inproceedings{VermaBV18,
  title = {FeaStNet: Feature-Steered Graph Convolutions for 3D Shape Analysis},
  author = {Nitika Verma and Edmond Boyer and Jakob Verbeek},
  year = {2018},
  url = {http://openaccess.thecvf.com/content_cvpr_2018/html/Verma_FeaStNet_Feature-Steered_Graph_CVPR_2018_paper.html},
  researchr = {https://researchr.org/publication/VermaBV18},
  cites = {0},
  citedby = {0},
  pages = {2598-2606},
  booktitle = {2018 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2018, Salt Lake City, UT, USA, June 18-22, 2018},
  publisher = {IEEE Computer Society},
}