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Learning to Recognize 3D Human Action from A New Skeleton-based Representation Using Deep Convolutional Neural Networks
26 December 2018
H. Pham
L. Khoudour
Alain Crouzil
Pablo Zegers
S. Velastín
3DH
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Papers citing
"Learning to Recognize 3D Human Action from A New Skeleton-based Representation Using Deep Convolutional Neural Networks"
6 / 6 papers shown
Title
Isolated Sign Language Recognition based on Tree Structure Skeleton Images
David Laines
G. Bejarano
M. González-Mendoza
Gilberto Ochoa-Ruiz
SLR
24
12
0
10 Apr 2023
Video-based Human Action Recognition using Deep Learning: A Review
Hieu H. Pham
L. Khoudour
Alain Crouzil
Pablo Zegers
S. Velastín
35
34
0
07 Aug 2022
A Deep Learning Approach for Real-Time 3D Human Action Recognition from Skeletal Data
H. Pham
H. Salmane
L. Khoudour
Alain Crouzil
Pablo Zegers
S. Velastín
3DH
31
6
0
08 Jul 2019
DensePose: Dense Human Pose Estimation In The Wild
R. Güler
Natalia Neverova
Iasonas Kokkinos
3DH
205
1,386
0
01 Feb 2018
Benefits of depth in neural networks
Matus Telgarsky
151
602
0
14 Feb 2016
MatConvNet - Convolutional Neural Networks for MATLAB
Andrea Vedaldi
Karel Lenc
183
2,946
0
15 Dec 2014
1