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GraphMDN: Leveraging graph structure and deep learning to solve inverse
  problems

GraphMDN: Leveraging graph structure and deep learning to solve inverse problems

IEEE International Joint Conference on Neural Network (IJCNN), 2020
26 October 2020
Tuomas P. Oikarinen
Daniel C. Hannah
Sohrob Kazerounian
    BDLGNN
ArXiv (abs)PDFHTML

Papers citing "GraphMDN: Leveraging graph structure and deep learning to solve inverse problems"

13 / 13 papers shown
Title
CHAMP: Conformalized 3D Human Multi-Hypothesis Pose Estimators
CHAMP: Conformalized 3D Human Multi-Hypothesis Pose Estimators
Harry Zhang
Luca Carlone
3DH
349
3
0
27 May 2024
Diffusion-based Pose Refinement and Muti-hypothesis Generation for 3D
  Human Pose Estimaiton
Diffusion-based Pose Refinement and Muti-hypothesis Generation for 3D Human Pose EstimaitonIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024
Hongbo Kang
Yong Wang
Mengyuan Liu
Doudou Wu
Peng Liu
Xinlin Yuan
W. Yang
DiffM
117
4
0
10 Jan 2024
ManiPose: Manifold-Constrained Multi-Hypothesis 3D Human Pose Estimation
ManiPose: Manifold-Constrained Multi-Hypothesis 3D Human Pose Estimation
Cédric Rommel
Victor Letzelter
Nermin Samet
Renaud Marlet
Matthieu Cord
Patrick Pérez
Eduardo Valle
3DH
130
4
0
11 Dec 2023
Spatio-temporal MLP-graph network for 3D human pose estimation
Spatio-temporal MLP-graph network for 3D human pose estimationBritish Machine Vision Conference (BMVC), 2023
T. Hassan
A. Ben Hamza
3DH
124
4
0
29 Aug 2023
HuManiFlow: Ancestor-Conditioned Normalising Flows on SO(3) Manifolds
  for Human Pose and Shape Distribution Estimation
HuManiFlow: Ancestor-Conditioned Normalising Flows on SO(3) Manifolds for Human Pose and Shape Distribution EstimationComputer Vision and Pattern Recognition (CVPR), 2023
A. Sengupta
Ignas Budvytis
R. Cipolla
3DH
156
26
0
11 May 2023
Graph Neural Networks in Computer Vision -- Architectures, Datasets and
  Common Approaches
Graph Neural Networks in Computer Vision -- Architectures, Datasets and Common ApproachesIEEE International Joint Conference on Neural Network (IJCNN), 2022
Maciej Krzywda
S. Lukasik
Amir H. Gandomi
GNN
147
12
0
20 Dec 2022
GFPose: Learning 3D Human Pose Prior with Gradient Fields
GFPose: Learning 3D Human Pose Prior with Gradient FieldsComputer Vision and Pattern Recognition (CVPR), 2022
Hai Ci
Min-Yu Wu
Wenjie Zhu
Xiaoxuan Ma
Hao Dong
Fangwei Zhong
Yizhou Wang
3DH
151
73
0
16 Dec 2022
DiffuPose: Monocular 3D Human Pose Estimation via Denoising Diffusion
  Probabilistic Model
DiffuPose: Monocular 3D Human Pose Estimation via Denoising Diffusion Probabilistic ModelIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2022
Jeongjun Choi
D. Shim
H. J. Kim
171
38
0
06 Dec 2022
DiffPose: Multi-hypothesis Human Pose Estimation using Diffusion models
DiffPose: Multi-hypothesis Human Pose Estimation using Diffusion modelsIEEE International Conference on Computer Vision (ICCV), 2022
Karl Holmquist
Bastian Wandt
DiffM
155
79
0
29 Nov 2022
Multi-hypothesis 3D human pose estimation metrics favor miscalibrated
  distributions
Multi-hypothesis 3D human pose estimation metrics favor miscalibrated distributions
Paweł Antoni Pierzchlewicz
R. J. Cotton
Mohammad Ali Bashiri
Fabian H. Sinz
3DH
133
8
0
20 Oct 2022
MHFormer: Multi-Hypothesis Transformer for 3D Human Pose Estimation
MHFormer: Multi-Hypothesis Transformer for 3D Human Pose Estimation
Shuheng Zhou
Hong Liu
Hao Tang
Pichao Wang
Luc Van Gool
ViT
248
310
0
24 Nov 2021
Hierarchical Kinematic Probability Distributions for 3D Human Shape and
  Pose Estimation from Images in the Wild
Hierarchical Kinematic Probability Distributions for 3D Human Shape and Pose Estimation from Images in the Wild
A. Sengupta
Ignas Budvytis
R. Cipolla
3DH
207
65
0
03 Oct 2021
Probabilistic Monocular 3D Human Pose Estimation with Normalizing Flows
Probabilistic Monocular 3D Human Pose Estimation with Normalizing FlowsIEEE International Conference on Computer Vision (ICCV), 2021
Tom Wehrbein
Marco Rudolph
Bodo Rosenhahn
Bastian Wandt
3DH
230
135
0
29 Jul 2021
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