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Harini Kannan

2 accepted papers

2019

High Fidelity Video Prediction with Large Stochastic Recurrent Neural Networks

NeurIPS 2019poster

Predicting future video frames is extremely challenging, as there are many factors of variation that make up the dynamics of how frames change through time. Previously proposed solutions require complex inductive biases inside network architectures with highly specialized computation, including segm…

Cited by 172SourcePDFScholar
2016

Eye Tracking for Everyone

CVPR 2016poster

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. We believe that we can put the power of eye tracking in everyone's palm by building eye tracking softw…

Cited by 1274PDFcodeScholar