3DTI-Net: Learn 3D Transform-Invariant Feature Using Hierarchical Graph CNN

Guanghua Pan, Peilin Liu, Jun Wang, Rendong Ying, Fei Wen. 3DTI-Net: Learn 3D Transform-Invariant Feature Using Hierarchical Graph CNN. In Abhaya C. Nayak, Alok Sharma, editors, PRICAI 2019: Trends in Artificial Intelligence - 16th Pacific Rim International Conference on Artificial Intelligence, Cuvu, Yanuca Island, Fiji, August 26-30, 2019, Proceedings, Part II. Volume 11671 of Lecture Notes in Computer Science, pages 37-51, Springer, 2019. [doi]

@inproceedings{PanLWYW19,
  title = {3DTI-Net: Learn 3D Transform-Invariant Feature Using Hierarchical Graph CNN},
  author = {Guanghua Pan and Peilin Liu and Jun Wang and Rendong Ying and Fei Wen},
  year = {2019},
  doi = {10.1007/978-3-030-29911-8_4},
  url = {https://doi.org/10.1007/978-3-030-29911-8_4},
  researchr = {https://researchr.org/publication/PanLWYW19},
  cites = {0},
  citedby = {0},
  pages = {37-51},
  booktitle = {PRICAI 2019: Trends in Artificial Intelligence - 16th Pacific Rim International Conference on Artificial Intelligence, Cuvu, Yanuca Island, Fiji, August 26-30, 2019, Proceedings, Part II},
  editor = {Abhaya C. Nayak and Alok Sharma},
  volume = {11671},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-29911-8},
}