most citedBack to Basics: Unsupervised Learning of Optical Flow via Brightness Constancy and Motion Smoothness

27 citations · 27 across the 1 of their papers we have counts for

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cs.CV2016★ 27 cited

Back to Basics: Unsupervised Learning of Optical Flow via Brightness Constancy and Motion Smoothness

Jason J. Yu, Adam W. Harley, Konstantinos G. Derpanis

Recently, convolutional networks (convnets) have proven useful for predicting optical flow. Much of this success is predicated on the availability of large datasets that require ex…