In the Eye of Beholder: Joint Learning of Gaze and Actions in First Person Video

We address the task of jointly determining what a person is doing and where they are looking based on the analysis of video captured by a headworn camera. We propose a novel deep model for joint gaze estimation and action recognition in First Person Vision... (read more)

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