Eye Tracking for Everyone

CVPR 2016 Kyle KrafkaAditya KhoslaPetr KellnhoferHarini KannanSuchendra BhandarkarWojciech MatusikAntonio Torralba

From scientific research to commercial applications, eye tracking is an important tool across many domains. Despite its range of applications, eye tracking has yet to become a pervasive technology... (read more)

PDF Abstract CVPR 2016 PDF CVPR 2016 Abstract

Results from the Paper


  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods used in the Paper


METHOD TYPE
🤖 No Methods Found Help the community by adding them if they're not listed; e.g. Deep Residual Learning for Image Recognition uses ResNet