TITAN: Future Forecast Using Action Priors

@article{Malla2020TITANFF,
  title={TITAN: Future Forecast Using Action Priors},
  author={Srikanth Malla and Behzad Dariush and Chiho Choi},
  journal={2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year={2020},
  pages={11183-11193}
}
We consider the problem of predicting the future trajectory of scene agents from egocentric views obtained from a moving platform. This problem is important in a variety of domains, particularly for autonomous systems making reactive or strategic decisions in navigation. In an attempt to address this problem, we introduce TITAN (Trajectory Inference using Targeted Action priors Network), a new model that incorporates prior positions, actions, and context to forecast future trajectory of agents… 

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