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Vladimir Golkov

2 accepted papers

2016

Protein contact prediction from amino acid co-evolution using convolutional networks for graph-valued images

NeurIPS 2016oral

Proteins are the "building blocks of life", the most abundant organic molecules, and the central focus of most areas of biomedicine. Protein structure is strongly related to protein function, thus structure prediction is a crucial task on the way to solve many biological questions. A contact map is…

Cited by 53SourcePDFScholar
2015

FlowNet: Learning Optical Flow With Convolutional Networks

ICCV 2015poster

Convolutional neural networks (CNNs) have recently been very successful in a variety of computer vision tasks, especially on those linked to recognition. Optical flow estimation has not been among the tasks CNNs succeeded at. In this paper we construct CNNs which are capable of solving the optical f…

Cited by 4909PDFScholar