Motion-Based Generator Model: Unsupervised Disentanglement of Appearance, Trackable and Intrackable Motions in Dynamic Patterns

Jianwen Xie, RuiQi Gao, Zilong Zheng, Song Chun Zhu, Ying Nian Wu. Motion-Based Generator Model: Unsupervised Disentanglement of Appearance, Trackable and Intrackable Motions in Dynamic Patterns. In The Thirty-Fourth AAAI Conference on Artificial Intelligence, AAAI 2020, The Thirty-Second Innovative Applications of Artificial Intelligence Conference, IAAI 2020, The Tenth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2020, New York, NY, USA, February 7-12, 2020. pages 12442-12451, AAAI Press, 2020. [doi]

@inproceedings{XieGZZW20,
  title = {Motion-Based Generator Model: Unsupervised Disentanglement of Appearance, Trackable and Intrackable Motions in Dynamic Patterns},
  author = {Jianwen Xie and RuiQi Gao and Zilong Zheng and Song Chun Zhu and Ying Nian Wu},
  year = {2020},
  url = {https://aaai.org/ojs/index.php/AAAI/article/view/6931},
  researchr = {https://researchr.org/publication/XieGZZW20},
  cites = {0},
  citedby = {0},
  pages = {12442-12451},
  booktitle = {The Thirty-Fourth AAAI Conference on Artificial Intelligence, AAAI 2020, The Thirty-Second Innovative Applications of Artificial Intelligence Conference, IAAI 2020, The Tenth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2020, New York, NY, USA, February 7-12, 2020},
  publisher = {AAAI Press},
  isbn = {978-1-57735-823-7},
}