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Optical flow computation is a key component in many computer vision systems designed for tasks such as action detection or activity recognition. However, despite several major advances over the last decade, handling large displacement in optical flow remains an open problem. Inspired by the large displacement optical flow of Brox & Malik , our approach, termed DeepFlow, blends a matching algorithm with a variational approach for optical flow. We propose a descriptor matching algorithm,doi:10.1109/iccv.2013.175 dblp:conf/iccv/WeinzaepfelRHS13 fatcat:ybewiiu4w5fppcndc2bp7mks44