David Gadot

2 accepted papers

2017

Optical Flow Requires Multiple Strategies (but Only One Network)

CVPR 2017poster

We show that the matching problem that underlies optical flow requires multiple strategies, depending on the amount of image motion and other factors. We then study the implications of this observation on training a deep neural network for representing image patches in the context of descriptor bas…

Cited by 17 PDF ↗code ↗Scholar ↗

2016

PatchBatch: A Batch Augmented Loss for Optical Flow

David Gadot, Lior Wolf

CVPR 2016poster

We propose a new pipeline for optical flow computation, based on Deep Learning techniques. We suggest using a Siamese CNN to independently, and in parallel, compute the descriptors of both images. The learned descriptors are then compared efficiently using the L2 norm and do not require network proc…

Cited by 118 PDF ↗Scholar ↗