@article{CTT100735760,
  author = {Tommi Kerola and Nakamasa Inoue and Koichi Shinoda},
  title = {Cross-View Human Action Recognition from Depth Maps Using Spectral Graph Sequences},
  journal = {Elsevier Journal of Computer Vision and Image Understanding (CVIU)},
  year = 2017,
}

@inproceedings{CTT100734909,
  author = {Tommi Kerola and Nakamasa Inoue and Koichi Shinoda},
  title = {Graph Regularized Implicit Pose for 3D Human Action Recognition},
  booktitle = {Proc. APSIPA},
  year = 2016,
}

@inproceedings{CTT100683157,
  author = {Tommi Kerola and Nakamasa Inoue and Koichi Shinoda},
  title = {Spectral Graph Wavelets for Skeleton-based 3D Action Recognition},
  booktitle = {Technical Reports of IEICE PRMU},
  year = 2015,
}

@inproceedings{CTT100676933,
  author = {Tommi Kerola and Nakamasa Inoue and Koichi Shinoda},
  title = {Spectral Graph Skeletons for 3D Action Recognition},
  booktitle = {Proc. Asian Conference on Computer Vision (ACCV)},
  year = 2014,
}

@misc{CTT100755241,
  author = {Tommi Matias Kerola},
  title = {A Graph Spectral Approach to Human Action Recognition from Depth Maps},
  year = 2016,
}

@misc{CTT100755361,
  author = {Tommi Matias Kerola},
  title = {A Graph Spectral Approach to Human Action Recognition from Depth Maps},
  year = 2016,
}

@misc{CTT100755369,
  author = {Tommi Matias Kerola},
  title = {A Graph Spectral Approach to Human Action Recognition from Depth Maps},
  year = 2016,
}



@phdthesis{CTT100755241,
  author = {Tommi Matias Kerola},
  title = {A Graph Spectral Approach to Human Action Recognition from Depth Maps},
  school = {Tokyo Institute of Technology},
  year = 2016,
}

@phdthesis{CTT100755361,
  author = {Tommi Matias Kerola},
  title = {A Graph Spectral Approach to Human Action Recognition from Depth Maps},
  school = {Tokyo Institute of Technology},
  year = 2016,
}

@phdthesis{CTT100755369,
  author = {Tommi Matias Kerola},
  title = {A Graph Spectral Approach to Human Action Recognition from Depth Maps},
  school = {Tokyo Institute of Technology},
  year = 2016,
}