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Jeffrey Donahue

2 accepted papers

2015

Long-Term Recurrent Convolutional Networks for Visual Recognition and Description

CVPR 2015poster

Models comprised of deep convolutional network layers have dominated recent image interpretation tasks; we investigate whether models which are also compositional, or "deep", temporally are effective on tasks involving visual sequences or label sequences. We develop a novel recurrent convolutional a…

Cited by 8345SourcePDFScholar
2015

Sequence to Sequence - Video to Text

ICCV 2015poster

Real-world videos often have complex dynamics; methods for generating open-domain video descriptions should be senstive to temporal structure and allow both input (sequence of frames) and output (sequence of words) of variable length. To approach this problem we propose a novel end-to-end sequence-t…

Cited by 1877PDFcodeScholar