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Hierarchical Graph-Convolutional Variational AutoEncoding for Generative Modelling of Human Motion
24 November 2021
Anthony Bourached
Robert J. Gray
Xiaodong Guan
Ryan-Rhys Griffiths
A. Jha
P. Nachev
3DH
DRL
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Papers citing
"Hierarchical Graph-Convolutional Variational AutoEncoding for Generative Modelling of Human Motion"
37 / 37 papers shown
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Task-Generic Hierarchical Human Motion Prior using VAEs
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Scene-aware Generative Network for Human Motion Synthesis
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Character Controllers Using Motion VAEs
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M. van de Panne
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26 Mar 2021
Computational identification of significant actors in paintings through symbols and attributes
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04 Feb 2021
Resolution enhancement in the recovery of underdrawings via style transfer by generative adversarial deep neural networks
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Ryan-Rhys Griffiths
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30 Jan 2021
Recovery of underdrawings and ghost-paintings via style transfer by deep convolutional neural networks: A digital tool for art scholars
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D. Stork
GAN
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04 Jan 2021
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R. Child
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20 Nov 2020
Generative Model-Enhanced Human Motion Prediction
Anthony Bourached
Ryan-Rhys Griffiths
Robert J. Gray
A. Jha
P. Nachev
63
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05 Oct 2020
History Repeats Itself: Human Motion Prediction via Motion Attention
Wei Mao
Miaomiao Liu
Mathieu Salzmann
88
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23 Jul 2020
Dynamic Multiscale Graph Neural Networks for 3D Skeleton-Based Human Motion Prediction
Maosen Li
Siheng Chen
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Ya Zhang
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17 Mar 2020
ReZero is All You Need: Fast Convergence at Large Depth
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H. H. Mao
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Julian McAuley
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10 Mar 2020
Decision-Making with Auto-Encoding Variational Bayes
Romain Lopez
Pierre Boyeau
Nir Yosef
Michael I. Jordan
Jeffrey Regier
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17 Feb 2020
Raiders of the Lost Art
Anthony Bourached
George H. Cann
GAN
34
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10 Sep 2019
Learning Trajectory Dependencies for Human Motion Prediction
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Mathieu Salzmann
Hongdong Li
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Adaptive Sensor Placement for Continuous Spaces
James A Grant
A. Boukouvalas
Ryan-Rhys Griffiths
David S Leslie
Sattar Vakili
Enrique Munoz de Cote
47
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16 May 2019
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Naureen Mahmood
N. Ghorbani
N. Troje
Gerard Pons-Moll
Michael J. Black
3DH
48
1,259
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05 Apr 2019
Human Motion Prediction via Learning Local Structure Representations and Temporal Dependencies
Xiao Guo
Jongmoo Choi
3DH
59
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20 Feb 2019
Monocular Total Capture: Posing Face, Body, and Hands in the Wild
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Hanbyul Joo
Yaser Sheikh
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04 Dec 2018
A Neural Temporal Model for Human Motion Prediction
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A. Mali
Daniel Kifer
C. Lee Giles
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09 Sep 2018
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David Grangier
Michael Auli
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16 May 2018
Convolutional Sequence to Sequence Model for Human Dynamics
Chen Li
Zhen Zhang
Wee Sun Lee
Gim Hee Lee
3DH
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02 May 2018
UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction
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John Healy
James Melville
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09 Feb 2018
Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition
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Yuanjun Xiong
Dahua Lin
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27 Nov 2017
Long-Term On-Board Prediction of People in Traffic Scenes under Uncertainty
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Mario Fritz
Bernt Schiele
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Deep Video Generation, Prediction and Completion of Human Action Sequences
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Chunyan Bai
Yu-Wing Tai
Chi-Keung Tang
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23 Nov 2017
On human motion prediction using recurrent neural networks
Julieta Martinez
Michael J. Black
Javier Romero
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06 May 2017
Deep representation learning for human motion prediction and classification
Judith Butepage
Michael J. Black
Danica Kragic
Hedvig Kjellström
3DH
72
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24 Feb 2017
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNN
SSL
665
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Concrete Problems in AI Safety
Dario Amodei
C. Olah
Jacob Steinhardt
Paul Christiano
John Schulman
Dandelion Mané
244
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21 Jun 2016
Learning Convolutional Neural Networks for Graphs
Mathias Niepert
Mohamed Ahmed
Konstantin Kutzkov
GNN
SSL
143
2,154
0
17 May 2016
A Survey of Motion Planning and Control Techniques for Self-driving Urban Vehicles
B. Paden
Michal Cap
Sze Zheng Yong
Dmitry S. Yershov
Emilio Frazzoli
53
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25 Apr 2016
Ladder Variational Autoencoders
C. Sønderby
T. Raiko
Lars Maaløe
Søren Kaae Sønderby
Ole Winther
BDL
DRL
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915
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06 Feb 2016
Structural-RNN: Deep Learning on Spatio-Temporal Graphs
Ashesh Jain
Amir Zamir
Silvio Savarese
Ashutosh Saxena
GNN
147
1,093
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17 Nov 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
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465
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Adam: A Method for Stochastic Optimization
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Jimmy Ba
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