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STEP: Spatial Temporal Graph Convolutional Networks for Emotion
  Perception from Gaits

STEP: Spatial Temporal Graph Convolutional Networks for Emotion Perception from Gaits

28 October 2019
Uttaran Bhattacharya
Trisha Mittal
Rohan Chandra
Tanmay Randhavane
Aniket Bera
Tianyi Zhou
    CVBM
ArXivPDFHTML

Papers citing "STEP: Spatial Temporal Graph Convolutional Networks for Emotion Perception from Gaits"

11 / 61 papers shown
Title
Deep Video Generation, Prediction and Completion of Human Action
  Sequences
Deep Video Generation, Prediction and Completion of Human Action Sequences
Haoye Cai
Chunyan Bai
Yu-Wing Tai
Chi-Keung Tang
VGen
48
144
0
23 Nov 2017
Emotion Recognition by Body Movement Representation on the Manifold of
  Symmetric Positive Definite Matrices
Emotion Recognition by Body Movement Representation on the Manifold of Symmetric Positive Definite Matrices
Mohamed Daoudi
Stefano Berretti
P. Pala
Y. Delevoye-Turrell
A. Bimbo
CVBM
39
32
0
22 Jul 2017
MoCoGAN: Decomposing Motion and Content for Video Generation
MoCoGAN: Decomposing Motion and Content for Video Generation
Sergey Tulyakov
Ming-Yuan Liu
Xiaodong Yang
Jan Kautz
GAN
127
1,145
0
17 Jul 2017
Temporal Convolutional Networks for Action Segmentation and Detection
Temporal Convolutional Networks for Action Segmentation and Detection
Colin S. Lea
Michael D. Flynn
René Vidal
A. Reiter
Gregory Hager
91
1,485
0
16 Nov 2016
Spatiotemporal Residual Networks for Video Action Recognition
Spatiotemporal Residual Networks for Video Action Recognition
Christoph Feichtenhofer
A. Pinz
Richard P. Wildes
102
719
0
07 Nov 2016
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNN
SSL
585
28,999
0
09 Sep 2016
Convolutional Two-Stream Network Fusion for Video Action Recognition
Convolutional Two-Stream Network Fusion for Video Action Recognition
Christoph Feichtenhofer
A. Pinz
Andrew Zisserman
150
2,610
0
22 Apr 2016
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.5K
149,842
0
22 Dec 2014
Striving for Simplicity: The All Convolutional Net
Striving for Simplicity: The All Convolutional Net
Jost Tobias Springenberg
Alexey Dosovitskiy
Thomas Brox
Martin Riedmiller
FAtt
232
4,665
0
21 Dec 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
1.5K
100,213
0
04 Sep 2014
Spectral Networks and Locally Connected Networks on Graphs
Spectral Networks and Locally Connected Networks on Graphs
Joan Bruna
Wojciech Zaremba
Arthur Szlam
Yann LeCun
GNN
197
4,870
0
21 Dec 2013
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