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Scene Flow to Action Map: A New Representation for RGB-D based Action
  Recognition with Convolutional Neural Networks

Scene Flow to Action Map: A New Representation for RGB-D based Action Recognition with Convolutional Neural Networks

28 February 2017
Pichao Wang
W. Li
Zhimin Gao
Yuyao Zhang
Chang-Fu Tang
P. Ogunbona
    3DPC
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Papers citing "Scene Flow to Action Map: A New Representation for RGB-D based Action Recognition with Convolutional Neural Networks"

3 / 3 papers shown
Title
Co-occurrence Feature Learning for Skeleton based Action Recognition
  using Regularized Deep LSTM Networks
Co-occurrence Feature Learning for Skeleton based Action Recognition using Regularized Deep LSTM Networks
Wentao Zhu
Cuiling Lan
Junliang Xing
Wenjun Zeng
Yanghao Li
Li Shen
Xiaohui Xie
100
870
0
24 Mar 2016
Caffe: Convolutional Architecture for Fast Feature Embedding
Caffe: Convolutional Architecture for Fast Feature Embedding
Yangqing Jia
Evan Shelhamer
Jeff Donahue
Sergey Karayev
Jonathan Long
Ross B. Girshick
S. Guadarrama
Trevor Darrell
VLM
BDL
3DV
183
14,703
0
20 Jun 2014
Two-Stream Convolutional Networks for Action Recognition in Videos
Two-Stream Convolutional Networks for Action Recognition in Videos
Karen Simonyan
Andrew Zisserman
221
7,518
0
09 Jun 2014
1