Context Modeling in 3D Human Pose Estimation: A Unified Perspective
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Chunyu Wang | Hai Ci | Xiaoxuan Ma | Jiajun Su | Yizhou Wang | Yizhou Wang | Xiaoxuan Ma | Jiajun Su | Chunyu Wang | Hai Ci
[1] Alan L. Yuille,et al. Articulated Pose Estimation by a Graphical Model with Image Dependent Pairwise Relations , 2014, NIPS.
[2] Cristian Sminchisescu,et al. Covariance scaled sampling for monocular 3D body tracking , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.
[3] Yaser Sheikh,et al. OpenPose: Realtime Multi-Person 2D Pose Estimation Using Part Affinity Fields , 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[4] David J. Fleet,et al. People tracking using hybrid Monte Carlo filtering , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.
[5] Jitendra Malik,et al. End-to-End Recovery of Human Shape and Pose , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[6] Dimitrios Tzionas,et al. Resolving 3D Human Pose Ambiguities With 3D Scene Constraints , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[7] Nadia Magnenat-Thalmann,et al. Exploiting Spatial-Temporal Relationships for 3D Pose Estimation via Graph Convolutional Networks , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[8] Wenjun Zeng,et al. VoxelPose: Towards Multi-camera 3D Human Pose Estimation in Wild Environment , 2020, ECCV.
[9] Bernt Schiele,et al. Multi-view Pictorial Structures for 3D Human Pose Estimation , 2013, BMVC.
[10] Alan L. Yuille,et al. OriNet: A Fully Convolutional Network for 3D Human Pose Estimation , 2018, BMVC.
[11] Cristian Sminchisescu,et al. Human3.6M: Large Scale Datasets and Predictive Methods for 3D Human Sensing in Natural Environments , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[12] Yizhou Wang,et al. Optimizing Network Structure for 3D Human Pose Estimation , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[13] Yu Tian,et al. Semantic Graph Convolutional Networks for 3D Human Pose Regression , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[14] Lukasz Kaiser,et al. Attention is All you Need , 2017, NIPS.
[15] Mun Wai Lee,et al. Human Upper Body Pose Estimation in Static Images , 2004, ECCV.
[16] Jia Deng,et al. Stacked Hourglass Networks for Human Pose Estimation , 2016, ECCV.
[17] Yichen Wei,et al. Integral Human Pose Regression , 2017, ECCV.
[18] Xavier Bresson,et al. Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering , 2016, NIPS.
[19] Xiaogang Wang,et al. 3D Human Pose Estimation in the Wild by Adversarial Learning , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[20] Jinxiang Chai,et al. Modeling 3D human poses from uncalibrated monocular images , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[21] Wenjun Zeng,et al. Cross View Fusion for 3D Human Pose Estimation , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[22] Xiaowei Zhou,et al. Harvesting Multiple Views for Marker-Less 3D Human Pose Annotations , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[23] Jonathan Tompson,et al. Joint Training of a Convolutional Network and a Graphical Model for Human Pose Estimation , 2014, NIPS.
[24] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[25] Ilya Kostrikov,et al. Depth Sweep Regression Forests for Estimating 3D Human Pose from Images , 2014, BMVC.
[26] Dario Pavllo,et al. 3D Human Pose Estimation in Video With Temporal Convolutions and Semi-Supervised Training , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[27] James J. Little,et al. A Simple Yet Effective Baseline for 3d Human Pose Estimation , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[28] I. Biederman,et al. Scene perception: Detecting and judging objects undergoing relational violations , 1982, Cognitive Psychology.
[29] Mark Everingham,et al. Clustered Pose and Nonlinear Appearance Models for Human Pose Estimation , 2010, BMVC.
[30] Bernt Schiele,et al. 2D Human Pose Estimation: New Benchmark and State of the Art Analysis , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[31] Pascal Fua,et al. Monocular 3D Human Pose Estimation in the Wild Using Improved CNN Supervision , 2016, 2017 International Conference on 3D Vision (3DV).
[32] Xiaowei Zhou,et al. 3D Shape Reconstruction from 2D Landmarks: A Convex Formulation , 2014, ArXiv.
[33] Peter V. Gehler,et al. Keep It SMPL: Automatic Estimation of 3D Human Pose and Shape from a Single Image , 2016, ECCV.
[34] Hans-Peter Seidel,et al. VNect , 2017, ACM Trans. Graph..
[35] Nassir Navab,et al. 3D Pictorial Structures for Multiple Human Pose Estimation , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[36] Victor Lempitsky,et al. Learnable Triangulation of Human Pose , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[37] Bingbing Ni,et al. Deep Kinematics Analysis for Monocular 3D Human Pose Estimation , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[38] Yichen Wei,et al. Towards 3D Human Pose Estimation in the Wild: A Weakly-Supervised Approach , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[39] Dacheng Tao,et al. Not All Parts Are Created Equal: 3D Pose Estimation by Modeling Bi-Directional Dependencies of Body Parts , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[40] Wen Gao,et al. Robust Estimation of 3D Human Poses from a Single Image , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[41] Xiaowei Zhou,et al. Ordinal Depth Supervision for 3D Human Pose Estimation , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.