Convolutional Two-Stream Network Fusion for Video Action Recognition

Christoph Feichtenhofer, Axel Pinz, Andrew Zisserman

Research output: Chapter in Book/Report/Conference proceedingConference contribution

LanguageEnglish
Title of host publicationIEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016
Pages1933-1941
StatusPublished - 26 Jun 2016
EventIEEE Conference on Computer Vision and Pattern Recognition, 2016 - Salt Lake City, United States
Duration: 18 Jun 201822 Jun 2018

Conference

ConferenceIEEE Conference on Computer Vision and Pattern Recognition, 2016
Abbreviated titleCVPR
CountryUnited States
CitySalt Lake City
Period18/06/1822/06/18

Cite this

Feichtenhofer, C., Pinz, A., & Zisserman, A. (2016). Convolutional Two-Stream Network Fusion for Video Action Recognition. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016 (pp. 1933-1941)

Convolutional Two-Stream Network Fusion for Video Action Recognition. / Feichtenhofer, Christoph; Pinz, Axel; Zisserman, Andrew.

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016. 2016. p. 1933-1941.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Feichtenhofer, C, Pinz, A & Zisserman, A 2016, Convolutional Two-Stream Network Fusion for Video Action Recognition. in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016. pp. 1933-1941, IEEE Conference on Computer Vision and Pattern Recognition, 2016, Salt Lake City, United States, 18/06/18.
Feichtenhofer C, Pinz A, Zisserman A. Convolutional Two-Stream Network Fusion for Video Action Recognition. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016. 2016. p. 1933-1941.
Feichtenhofer, Christoph ; Pinz, Axel ; Zisserman, Andrew. / Convolutional Two-Stream Network Fusion for Video Action Recognition. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016. 2016. pp. 1933-1941
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M3 - Conference contribution

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BT - IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016

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