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Person Identification from Partial Gait Cycle Using Fully Convolutional
  Neural Network

Person Identification from Partial Gait Cycle Using Fully Convolutional Neural Network

23 April 2018
M. Babaee
Linwei Li
Gerhard Rigoll
    CVBM
ArXivPDFHTML

Papers citing "Person Identification from Partial Gait Cycle Using Fully Convolutional Neural Network"

5 / 5 papers shown
Title
EnhanceNet: Single Image Super-Resolution Through Automated Texture
  Synthesis
EnhanceNet: Single Image Super-Resolution Through Automated Texture Synthesis
Mehdi S. M. Sajjadi
Bernhard Schölkopf
M. Hirsch
SupR
68
971
0
23 Dec 2016
R-FCN: Object Detection via Region-based Fully Convolutional Networks
R-FCN: Object Detection via Region-based Fully Convolutional Networks
Jifeng Dai
Yi Li
Kaiming He
Jian Sun
ObjD
168
5,640
0
20 May 2016
Fully Convolutional Networks for Semantic Segmentation
Fully Convolutional Networks for Semantic Segmentation
Evan Shelhamer
Jonathan Long
Trevor Darrell
VOS
SSeg
723
37,843
0
20 May 2016
Delving Deep into Rectifiers: Surpassing Human-Level Performance on
  ImageNet Classification
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
VLM
305
18,609
0
06 Feb 2015
Image Super-Resolution Using Deep Convolutional Networks
Image Super-Resolution Using Deep Convolutional Networks
Chao Dong
Chen Change Loy
Kaiming He
Xiaoou Tang
SupR
148
8,074
0
31 Dec 2014
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