ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2111.12602
  4. Cited By
Hierarchical Graph-Convolutional Variational AutoEncoding for Generative
  Modelling of Human Motion
v1v2v3v4 (latest)

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
    3DHDRL
ArXiv (abs)PDFHTML

Papers citing "Hierarchical Graph-Convolutional Variational AutoEncoding for Generative Modelling of Human Motion"

37 / 37 papers shown
Title
Extracting associations and meanings of objects depicted in artworks
  through bi-modal deep networks
Extracting associations and meanings of objects depicted in artworks through bi-modal deep networks
Gregory Kell
Ryan-Rhys Griffiths
Anthony Bourached
D. Stork
42
3
0
14 Mar 2022
Task-Generic Hierarchical Human Motion Prior using VAEs
Task-Generic Hierarchical Human Motion Prior using VAEs
Jiaman Li
Ruben Villegas
Duygu Ceylan
Jimei Yang
Zhengfei Kuang
Hao Li
Yajie Zhao
3DH
56
46
0
07 Jun 2021
Scene-aware Generative Network for Human Motion Synthesis
Scene-aware Generative Network for Human Motion Synthesis
Jingbo Wang
Sijie Yan
Bo Dai
Dahua Lin
3DH
60
79
0
31 May 2021
Character Controllers Using Motion VAEs
Character Controllers Using Motion VAEs
Hung Yu Ling
F. Zinno
George Cheng
M. van de Panne
DRL
53
254
0
26 Mar 2021
Computational identification of significant actors in paintings through
  symbols and attributes
Computational identification of significant actors in paintings through symbols and attributes
David G.Stork
Anthony Bourached
George H.Cann
Ryan-Rhys Griffiths
31
8
0
04 Feb 2021
Resolution enhancement in the recovery of underdrawings via style
  transfer by generative adversarial deep neural networks
Resolution enhancement in the recovery of underdrawings via style transfer by generative adversarial deep neural networks
George H. Cann
Anthony Bourached
Ryan-Rhys Griffiths
D. Stork
GAN
30
3
0
30 Jan 2021
Recovery of underdrawings and ghost-paintings via style transfer by deep
  convolutional neural networks: A digital tool for art scholars
Recovery of underdrawings and ghost-paintings via style transfer by deep convolutional neural networks: A digital tool for art scholars
Anthony Bourached
George H. Cann
Ryan-Rhys Griffiths
D. Stork
GAN
25
8
0
04 Jan 2021
Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them
  on Images
Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images
R. Child
BDLVLM
186
352
0
20 Nov 2020
Generative Model-Enhanced Human Motion Prediction
Generative Model-Enhanced Human Motion Prediction
Anthony Bourached
Ryan-Rhys Griffiths
Robert J. Gray
A. Jha
P. Nachev
63
15
0
05 Oct 2020
History Repeats Itself: Human Motion Prediction via Motion Attention
History Repeats Itself: Human Motion Prediction via Motion Attention
Wei Mao
Miaomiao Liu
Mathieu Salzmann
88
292
0
23 Jul 2020
Dynamic Multiscale Graph Neural Networks for 3D Skeleton-Based Human
  Motion Prediction
Dynamic Multiscale Graph Neural Networks for 3D Skeleton-Based Human Motion Prediction
Maosen Li
Siheng Chen
Yangheng Zhao
Ya Zhang
Yanfeng Wang
Qi Tian
AI4CE3DH
116
308
0
17 Mar 2020
ReZero is All You Need: Fast Convergence at Large Depth
ReZero is All You Need: Fast Convergence at Large Depth
Thomas C. Bachlechner
Bodhisattwa Prasad Majumder
H. H. Mao
G. Cottrell
Julian McAuley
AI4CE
83
282
0
10 Mar 2020
Decision-Making with Auto-Encoding Variational Bayes
Decision-Making with Auto-Encoding Variational Bayes
Romain Lopez
Pierre Boyeau
Nir Yosef
Michael I. Jordan
Jeffrey Regier
BDL
513
10,591
0
17 Feb 2020
Raiders of the Lost Art
Raiders of the Lost Art
Anthony Bourached
George H. Cann
GAN
32
7
0
10 Sep 2019
Learning Trajectory Dependencies for Human Motion Prediction
Learning Trajectory Dependencies for Human Motion Prediction
Wei Mao
Miaomiao Liu
Mathieu Salzmann
Hongdong Li
3DH
72
437
0
15 Aug 2019
Adaptive Sensor Placement for Continuous Spaces
Adaptive Sensor Placement for Continuous Spaces
James A Grant
A. Boukouvalas
Ryan-Rhys Griffiths
David S Leslie
Sattar Vakili
Enrique Munoz de Cote
47
13
0
16 May 2019
AMASS: Archive of Motion Capture as Surface Shapes
AMASS: Archive of Motion Capture as Surface Shapes
Naureen Mahmood
N. Ghorbani
N. Troje
Gerard Pons-Moll
Michael J. Black
3DH
48
1,259
0
05 Apr 2019
Human Motion Prediction via Learning Local Structure Representations and
  Temporal Dependencies
Human Motion Prediction via Learning Local Structure Representations and Temporal Dependencies
Xiao Guo
Jongmoo Choi
3DH
59
97
0
20 Feb 2019
Monocular Total Capture: Posing Face, Body, and Hands in the Wild
Monocular Total Capture: Posing Face, Body, and Hands in the Wild
Donglai Xiang
Hanbyul Joo
Yaser Sheikh
CVBM3DH
75
328
0
04 Dec 2018
A Neural Temporal Model for Human Motion Prediction
A Neural Temporal Model for Human Motion Prediction
Anand Gopalakrishnan
A. Mali
Daniel Kifer
C. Lee Giles
Alexander Ororbia
3DH
74
176
0
09 Sep 2018
QuaterNet: A Quaternion-based Recurrent Model for Human Motion
QuaterNet: A Quaternion-based Recurrent Model for Human Motion
Dario Pavllo
David Grangier
Michael Auli
3DH
69
263
0
16 May 2018
Convolutional Sequence to Sequence Model for Human Dynamics
Convolutional Sequence to Sequence Model for Human Dynamics
Chen Li
Zhen Zhang
Wee Sun Lee
Gim Hee Lee
3DH
68
327
0
02 May 2018
UMAP: Uniform Manifold Approximation and Projection for Dimension
  Reduction
UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction
Leland McInnes
John Healy
James Melville
199
9,473
0
09 Feb 2018
Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action
  Recognition
Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition
Sijie Yan
Yuanjun Xiong
Dahua Lin
GNN
244
4,179
0
23 Jan 2018
HP-GAN: Probabilistic 3D human motion prediction via GAN
HP-GAN: Probabilistic 3D human motion prediction via GAN
Emad Barsoum
J. Kender
Zicheng Liu
3DH
86
331
0
27 Nov 2017
Long-Term On-Board Prediction of People in Traffic Scenes under
  Uncertainty
Long-Term On-Board Prediction of People in Traffic Scenes under Uncertainty
Apratim Bhattacharyya
Mario Fritz
Bernt Schiele
80
204
0
24 Nov 2017
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
60
146
0
23 Nov 2017
On human motion prediction using recurrent neural networks
On human motion prediction using recurrent neural networks
Julieta Martinez
Michael J. Black
Javier Romero
3DH
98
936
0
06 May 2017
Deep representation learning for human motion prediction and
  classification
Deep representation learning for human motion prediction and classification
Judith Butepage
Michael J. Black
Danica Kragic
Hedvig Kjellström
3DH
72
425
0
24 Feb 2017
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNNSSL
665
29,156
0
09 Sep 2016
Concrete Problems in AI Safety
Concrete Problems in AI Safety
Dario Amodei
C. Olah
Jacob Steinhardt
Paul Christiano
John Schulman
Dandelion Mané
244
2,404
0
21 Jun 2016
Learning Convolutional Neural Networks for Graphs
Learning Convolutional Neural Networks for Graphs
Mathias Niepert
Mohamed Ahmed
Konstantin Kutzkov
GNNSSL
143
2,154
0
17 May 2016
A Survey of Motion Planning and Control Techniques for Self-driving
  Urban Vehicles
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
2,026
0
25 Apr 2016
Ladder Variational Autoencoders
Ladder Variational Autoencoders
C. Sønderby
T. Raiko
Lars Maaløe
Søren Kaae Sønderby
Ole Winther
BDLDRL
99
915
0
06 Feb 2016
Structural-RNN: Deep Learning on Spatio-Temporal Graphs
Structural-RNN: Deep Learning on Spatio-Temporal Graphs
Ashesh Jain
Amir Zamir
Silvio Savarese
Ashutosh Saxena
GNN
147
1,093
0
17 Nov 2015
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
465
43,341
0
11 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.1K
150,312
0
22 Dec 2014
1