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Deep Learning Based Inertial Tracking: Publications

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  title = "GANVO: Unsupervised Deep Monocular Visual Odometry and Depth Estimation with Generative Adversarial Networks",
  author = "Y. Almalioglu, M. R. U. Saputra, P. P. de Gusmao, A. Markham, and N. Trigoni",
  year = "2019",
  journal = "IEEE International Conference on Robotics and Automation (ICRA)",
  title = "MotionTransformer: Transferring Neural Inertial Tracking Between Domains",
  author = "Changhao Chen and Yishu Miao and Chris Xiaoxuan Lu and Linhai Xie and Phil Blunsom and Andrew Markham and Niki Trigoni",
  year = "2019",
  booktitle = "The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19)",
  title = "Transferring Physical Motion Between Domains for Neural Inertial Tracking",
  author = "Chen, Changhao and Miao, Yishu and Lu, Chris Xiaoxuan and Blunsom, Phil and Markham, Andrew and Trigoni, Niki",
  year = "2018",
  booktitle = "NIPS 2018 workshop on Modelling the Physical world: Perception, Learning and Control",