Deep Recurrent Multi-instance Learning with Spatio-temporal Features for Engagement Intensity Prediction

Jianfei Yang, Kai Wang, Xiaojiang Peng, Yu Qiao 0001. Deep Recurrent Multi-instance Learning with Spatio-temporal Features for Engagement Intensity Prediction. In Sidney K. D'Mello, Panayiotis G. Georgiou, Stefan Scherer, Emily Mower Provost, Mohammad Soleymani, Marcelo Worsley, editors, Proceedings of the 2018 on International Conference on Multimodal Interaction, ICMI 2018, Boulder, CO, USA, October 16-20, 2018. pages 594-598, ACM, 2018. [doi]

@inproceedings{YangWP018,
  title = {Deep Recurrent Multi-instance Learning with Spatio-temporal Features for Engagement Intensity Prediction},
  author = {Jianfei Yang and Kai Wang and Xiaojiang Peng and Yu Qiao 0001},
  year = {2018},
  doi = {10.1145/3242969.3264981},
  url = {https://doi.org/10.1145/3242969.3264981},
  researchr = {https://researchr.org/publication/YangWP018},
  cites = {0},
  citedby = {0},
  pages = {594-598},
  booktitle = {Proceedings of the 2018 on International Conference on Multimodal Interaction, ICMI 2018, Boulder, CO, USA, October 16-20, 2018},
  editor = {Sidney K. D'Mello and Panayiotis G. Georgiou and Stefan Scherer and Emily Mower Provost and Mohammad Soleymani and Marcelo Worsley},
  publisher = {ACM},
}