OpenPose: Realtime Multi-Person 2D Pose Estimation Using Part Affinity Fields
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Yaser Sheikh | Shih-En Wei | Tomas Simon | Zhe Cao | Yaser Sheikh | Tomas Simon | Shih-En Wei | Zhe Cao | Gines Hidalgo | T. Simon | S. Wei
[1] D. Marquardt. An Algorithm for Least-Squares Estimation of Nonlinear Parameters , 1963 .
[2] Yoshua Bengio,et al. Learning long-term dependencies with gradient descent is difficult , 1994, IEEE Trans. Neural Networks.
[3] Kathryn Fraughnaugh,et al. Introduction to graph theory , 1973, Mathematical Gazette.
[4] Yoshua Bengio,et al. Gradient Flow in Recurrent Nets: the Difficulty of Learning Long-Term Dependencies , 2001 .
[5] Daniel P. Huttenlocher,et al. Pictorial Structures for Object Recognition , 2004, International Journal of Computer Vision.
[6] David A. Forsyth,et al. Strike a pose: tracking people by finding stylized poses , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[7] Daniel P. Huttenlocher,et al. Beyond trees: common-factor models for 2D human pose recovery , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.
[8] Michael J. Black,et al. Measure Locally, Reason Globally: Occlusion-sensitive Articulated Pose Estimation , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[9] Yang Wang,et al. Multiple Tree Models for Occlusion and Spatial Constraints in Human Pose Estimation , 2008, ECCV.
[10] Bernt Schiele,et al. Pictorial structures revisited: People detection and articulated pose estimation , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[11] Bernt Schiele,et al. Pictorial structures revisited: People detection and articulated pose estimation , 2009, CVPR.
[12] Vittorio Ferrari,et al. We Are Family: Joint Pose Estimation of Multiple Persons , 2010, ECCV.
[13] Harold W. Kuhn,et al. The Hungarian method for the assignment problem , 1955, 50 Years of Integer Programming.
[14] Yoshua Bengio,et al. Understanding the difficulty of training deep feedforward neural networks , 2010, AISTATS.
[15] Mark Everingham,et al. Clustered Pose and Nonlinear Appearance Models for Human Pose Estimation , 2010, BMVC.
[16] Bernt Schiele,et al. Monocular 3D pose estimation and tracking by detection , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[17] Yi Yang,et al. Articulated pose estimation with flexible mixtures-of-parts , 2011, CVPR 2011.
[18] Silvio Savarese,et al. Articulated part-based model for joint object detection and pose estimation , 2011, 2011 International Conference on Computer Vision.
[19] Bernt Schiele,et al. Articulated people detection and pose estimation: Reshaping the future , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[20] Shimon Ullman,et al. Using Linking Features in Learning Non-parametric Part Models , 2012, ECCV.
[21] Luc Van Gool,et al. Human Pose Estimation Using Body Parts Dependent Joint Regressors , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[22] Yi Yang,et al. Articulated Human Detection with Flexible Mixtures of Parts , 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[23] Peter V. Gehler,et al. Poselet Conditioned Pictorial Structures , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[24] Xiaogang Wang,et al. Multi-source Deep Learning for Human Pose Estimation , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[25] Jonathan Tompson,et al. Joint Training of a Convolutional Network and a Graphical Model for Human Pose Estimation , 2014, NIPS.
[26] Varun Ramakrishna,et al. Pose Machines: Articulated Pose Estimation via Inference Machines , 2014, ECCV.
[27] Christian Szegedy,et al. DeepPose: Human Pose Estimation via Deep Neural Networks , 2013, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[28] Pietro Perona,et al. Microsoft COCO: Common Objects in Context , 2014, ECCV.
[29] Jitendra Malik,et al. Using k-Poselets for Detecting People and Localizing Their Keypoints , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[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] Alan L. Yuille,et al. Articulated Pose Estimation by a Graphical Model with Image Dependent Pairwise Relations , 2014, NIPS.
[32] Michael J. Black,et al. SMPL: A Skinned Multi-Person Linear Model , 2023 .
[33] Kaiming He,et al. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[34] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[35] Jonathan Tompson,et al. Efficient object localization using Convolutional Networks , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[36] Andrew Zisserman,et al. Flowing ConvNets for Human Pose Estimation in Videos , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[37] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[38] Wei Liu,et al. SSD: Single Shot MultiBox Detector , 2015, ECCV.
[39] Jia Deng,et al. Stacked Hourglass Networks for Human Pose Estimation , 2016, ECCV.
[40] Varun Ramakrishna,et al. Convolutional Pose Machines , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[41] Georgios Tzimiropoulos,et al. Human Pose Estimation via Convolutional Part Heatmap Regression , 2016, ECCV.
[42] Bernt Schiele,et al. DeeperCut: A Deeper, Stronger, and Faster Multi-person Pose Estimation Model , 2016, ECCV.
[43] Peter V. Gehler,et al. DeepCut: Joint Subset Partition and Labeling for Multi Person Pose Estimation , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[44] Juergen Gall,et al. Multi-person Pose Estimation with Local Joint-to-Person Associations , 2016, ECCV Workshops.
[45] Hans-Peter Seidel,et al. VNect , 2017, ACM Trans. Graph..
[46] Zhiao Huang,et al. Associative Embedding: End-to-End Learning for Joint Detection and Grouping , 2016, NIPS.
[47] Andrew Zisserman,et al. Recurrent Human Pose Estimation , 2016, 2017 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017).
[48] Bernt Schiele,et al. ArtTrack: Articulated Multi-Person Tracking in the Wild , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[49] Xiaogang Wang,et al. Learning Feature Pyramids for Human Pose Estimation , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[50] Thomas Brox,et al. Joint Graph Decomposition & Node Labeling: Problem, Algorithms, Applications , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[51] Kilian Q. Weinberger,et al. Densely Connected Convolutional Networks , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[52] Jonathan Tompson,et al. Towards Accurate Multi-person Pose Estimation in the Wild , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[53] Yaser Sheikh,et al. Hand Keypoint Detection in Single Images Using Multiview Bootstrapping , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[54] Ali Farhadi,et al. YOLO9000: Better, Faster, Stronger , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[55] Xiaogang Wang,et al. Multi-context Attention for Human Pose Estimation , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[56] Sergio Guadarrama,et al. Speed/Accuracy Trade-Offs for Modern Convolutional Object Detectors , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[57] Cewu Lu,et al. RMPE: Regional Multi-person Pose Estimation , 2016, 2017 IEEE International Conference on Computer Vision (ICCV).
[58] Xiu-Shen Wei,et al. Adversarial PoseNet: A Structure-Aware Convolutional Network for Human Pose Estimation , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[59] Emre Akbas,et al. MultiPoseNet: Fast Multi-Person Pose Estimation using Pose Residual Network , 2018, ECCV.
[60] Ying Wu,et al. Deeply Learned Compositional Models for Human Pose Estimation , 2018, ECCV.
[61] Shuicheng Yan,et al. Pose Partition Networks for Multi-person Pose Estimation , 2018, ECCV.
[62] Gang Yu,et al. Cascaded Pyramid Network for Multi-person Pose Estimation , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[63] Bernt Schiele,et al. Learning to Refine Human Pose Estimation , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[64] Lorenzo Torresani,et al. Detect-and-Track: Efficient Pose Estimation in Videos , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[65] Tao Xiang,et al. Pose-Normalized Image Generation for Person Re-identification , 2017, ECCV.
[66] Yaser Sheikh,et al. Recycle-GAN: Unsupervised Video Retargeting , 2018, ECCV.
[67] Jonathan Tompson,et al. PersonLab: Person Pose Estimation and Instance Segmentation with a Bottom-Up, Part-Based, Geometric Embedding Model , 2018, ECCV.
[68] Yaser Sheikh,et al. Total Capture: A 3D Deformation Model for Tracking Faces, Hands, and Bodies , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[69] Antonis A. Argyros,et al. Using a Single RGB Frame for Real Time 3D Hand Pose Estimation in the Wild , 2017, 2018 IEEE Winter Conference on Applications of Computer Vision (WACV).
[70] Yichen Wei,et al. Simple Baselines for Human Pose Estimation and Tracking , 2018, ECCV.
[71] José M. F. Moura,et al. Teaching Robots to Predict Human Motion , 2018, 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[72] Kyoung Mu Lee,et al. PoseFix: Model-Agnostic General Human Pose Refinement Network , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[73] Alexei A. Efros,et al. Everybody Dance Now , 2018, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).