Fetching the paper…
Reading the bibliography…
Recent 2D-to-3D human pose estimation works tend to utilize the graph structure formed by the topology of the human skeleton.
Understanding the difficulty of training deep feedforward neural networks
Xavier Glorot and Yoshua Bengio · 2010
Earlier work this paper cites.
Rectified linear units improve restricted Boltzmann machines
Vinod Nair and Geoffrey E. Hinton · 2010
Earlier work this paper cites.
Spectral networks and locally connected networks on graphs
Joan Bruna, Wojciech Zaremba, Arthur Szlam, and Yann LeCun · 2013
Earlier work this paper cites.
Human3.6M: Large scale datasets and predictive methods for 3D human sensing in natural environments
Catalin Ionescu, Dragos Papava, Vlad Olaru, and Cristian Sminchisescu · 2013
Earlier work this paper cites.
2D human pose estimation: New benchmark and state of the art analysis
Mykhaylo Andriluka, Leonid Pishchulin, Peter Gehler, and Bernt Schiele · 2014
Earlier work this paper cites.
Adam: A method for stochastic optimization
Diederik P. Kingma and Jimmy Ba · 2014
Earlier work this paper cites.
Batch normalization: Accelerating deep network training by reducing internal covariate shift
Sergey Ioffe and Christian Szegedy · 2015
Earlier work this paper cites.
Keep it SMPL: Automatic estimation of 3D human pose and shape from a single image
Federica Bogo, Angjoo Kanazawa, Christoph Lassner, Peter Gehler, Javier Romero, and Michael J Black · 2016
Earlier work this paper cites.
Convolutional neural networks on graphs with fast localized spectral filtering
Michaël Defferrard, Xavier Bresson, and Pierre Vandergheynst · 2016
Earlier work this paper cites.
Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
Earlier work this paper cites.
Semi-supervised classification with graph convolutional networks
Thomas N. Kipf and Max Welling · 2016
Earlier work this paper cites.
Learning convolutional neural networks for graphs
Mathias Niepert, Mohamed Ahmed, and Konstantin Kutzkov · 2016
Earlier work this paper cites.
Inductive representation learning on large graphs
William L. Hamilton, Rex Ying, and Jure Leskovec · 2017
Earlier work this paper cites.
A simple yet effective baseline for 3D human pose estimation
Julieta Martinez, Rayat Hossain, Javier Romero, and James J. Little · 2017
Earlier work this paper cites.
Monocular 3d human pose estimation in the wild using improved cnn supervision
Dushyant Mehta, Helge Rhodin, Dan Casas, Pascal Fua, Oleksandr Sotnychenko, Weipeng Xu, and Christian Theobalt · 2017
Earlier work this paper cites.
Compositional human pose regression
Xiao Sun, Jiaxiang Shang, Shuang Liang, and Yichen Wei · 2017
Cited alongside, same era.
Towards 3D human pose estimation in the wild: A weakly-supervised approach
Xingyi Zhou, Qixing Huang, Xiao Sun, Xiangyang Xue, and Yichen Wei · 2017
Cited alongside, same era.
Cascaded pyramid network for multi-person pose estimation
Yilun Chen, Zhicheng Wang, Yuxiang Peng, Zhiqiang Zhang, Gang Yu, and Jian Sun · 2018
Cited alongside, same era.
Learning pose grammar to encode human body configuration for 3D pose estimation
Hao-Shu Fang, Yuanlu Xu, Wenguan Wang, Xiaobai Liu, and Song-Chun Zhu · 2018
Cited alongside, same era.
Ordinal depth supervision for 3D human pose estimation
Georgios Pavlakos, Xiaowei Zhou, and Kostas Daniilidis · 2018
Cited alongside, same era.
Integral human pose regression
Xiao Sun, Bin Xiao, Fangyin Wei, Shuang Liang, and Yichen Wei · 2018
3D human pose estimation in video with temporal convolutions and semi-supervised training
Dario Pavllo, Christoph Feichtenhofer, David Grangier, and Michael Auli · 2019
Later among the works it cites.
Deep high-resolution representation learning for human pose estimation
Ke Sun, Bin Xiao, Dong Liu, and Jingdong Wang · 2019
Later among the works it cites.
Semantic graph convolutional networks for 3D human pose regression
Long Zhao, Xi Peng, Yu Tian, Mubbasir Kapadia, and Dimitris N. Metaxas · 2019
Later among the works it cites.
Hemlets pose: Learning part-centric heatmap triplets for accurate 3d human pose estimation
Kun Zhou, Xiaoguang Han, Nianjuan Jiang, Kui Jia, and Jiangbo Lu · 2019
Later among the works it cites.
Pose2Mesh: Graph convolutional network for 3D human pose and mesh recovery from a 2D human pose
Hongsuk Choi, Gyeongsik Moon, and Kyoung Mu Lee · 2020
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Graph attention networks
Petar Veličković, Guillem Cucurull, Arantxa Casanova, Adriana Romero, Pietro Liò, and Yoshua Bengio · 2018
Cited alongside, same era.
Non-local neural networks
Xiaolong Wang, Ross Girshick, Abhinav Gupta, and Kaiming He · 2018
Cited alongside, same era.
Spatial temporal graph convolutional networks for skeleton-based action recognition
Sijie Yan, Yuanjun Xiong, and Dahua Lin · 2018
Cited alongside, same era.
3d human pose estimation in the wild by adversarial learning
Wei Yang, Wanli Ouyang, Xiaolong Wang, Jimmy Ren, Hongsheng Li, and Xiaogang Wang · 2018
Cited alongside, same era.
Exploiting spatial-temporal relationships for 3D pose estimation via graph convolutional networks
Yujun Cai, Liuhao Ge, Jun Liu, Jianfei Cai, Tat-Jen Cham, Junsong Yuan, and Nadia Magnenat Thalmann · 2019
Cited alongside, same era.
Occlusion-aware networks for 3d human pose estimation in video
Yu Cheng, Bo Yang, Bo Wang, Wending Yan, and Robby T Tan · 2019
Cited alongside, same era.
SIA-GCN: A spatial information aware graph neural network with 2D convolutions for hand pose estimation
Deying Kong, Haoyu Ma, and Xiaohui Xie · 2020
Later among the works it cites.
HDNet: Human depth estimation for multi-person camera-space localization
Jiahao Lin and Gim Hee Lee · 2020
Later among the works it cites.
A comprehensive study of weight sharing in graph networks for 3D human pose estimation
Kenkun Liu, Rongqi Ding, Zhiming Zou, Le Wang, and Wei Tang · 2020
Later among the works it cites.
Orinet: A fully convolutional network for 3d human pose estimation
Chenxu Luo, Xiao Chu, and Alan Yuille · 2020
Later among the works it cites.
Tiny-Hourglassnet: An efficient design for 3D human pose estimation
Bowen Shi, Yuhui Xu, Wenrui Dai, Botao Wang, Shuai Zhang, Chenglin Li, Junni Zou, and Hongkai Xiong · 2020
Later among the works it cites.
Deep kinematics analysis for monocular 3D human pose estimation
Jingwei Xu, Zhenbo Yu, Bingbing Ni, Jiancheng Yang, Xiaokang Yang, and Wenjun Zhang · 2020
Later among the works it cites.
High-order graph convolutional networks for 3D human pose estimation
Zhiming Zou, Kenkun Liu, Le Wang, and Wei Tang · 2020
Later among the works it cites.
Graph stacked hourglass networks for 3D human pose estimation
Tianhan Xu and Wataru Takano · 2021
Closest in time.
Learning skeletal graph neural networks for hard 3d pose estimation
Ailing Zeng, Xiao Sun, Lei Yang, Nanxuan Zhao, Minhao Liu, and Qiang Xu · 2021
Closest in time.