Efficient Modelling Across Time of Human Actions and Interactions

@article{Stergiou2021EfficientMA,
  title={Efficient Modelling Across Time of Human Actions and Interactions},
  author={Alexandros Stergiou},
  journal={ArXiv},
  year={2021},
  volume={abs/2110.02120}
}
This thesis focuses on video understanding for human action and interaction recognition. We start by identifying the main challenges related to action recognition from videos and review how they have been addressed by current methods. Based on these challenges, and by focusing on the temporal aspect of actions, we argue that current fixed-sized spatio-temporal kernels in 3D convolutional neural networks (CNNs) can be improved to better deal with temporal variations in the input. Our…