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  Dense-CNN: Fully Convolutional Neural Networks for Human Body Pose Estimation

Insafutdinov, E. (2016). Dense-CNN: Fully Convolutional Neural Networks for Human Body Pose Estimation. Master Thesis, Universität des Saarlandes, Saarbrücken.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-002B-1FA6-1 Version Permalink: https://hdl.handle.net/11858/00-001M-0000-002C-E8DA-2
Genre: Thesis
Latex : Dense-{CNN}: {F}ully Convolutional Neural Networks for Human Body Pose Estimation

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Master Thesis Eldar Insafutdinov.pdf (Any fulltext), 13MB
 
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 Creators:
Insafutdinov, Eldar1, Author           
Schiele, Bernt1, Advisor           
Andres, Bjoern1, Referee           
Affiliations:
1Computer Vision and Multimodal Computing, MPI for Informatics, Max Planck Society, ou_1116547              

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Language(s): eng - English
 Dates: 20162016
 Publication Status: Issued
 Pages: 43 p.
 Publishing info: Saarbrücken : Universität des Saarlandes
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: InsafutdinovMaster2016
 Degree: Master

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