1. Single Person

  1. Fast Human Pose Estimation - 2018 <Paper>
  2. Deeply Learned Compositional Models for Human Pose Estimation - ECCV2018 <Paper> <Poster> <Homepage> <Code-Torch>
  3. A Cascaded Inception of Inception Network with AttentionModulated Feature Fusion for Human Pose Estimation - AAAI2018 <Paper>
  4. Multi-Scale Structure-Aware Network for Human Pose Estimation - 2018 <Paper>
  5. Integral Human Pose Regression - 2017 <Paper> <Code-Pytorch>
  6. Human Pose Regression by Combining Indirect Part Detection and Contextual Information - 2017 <Paper> <Code-Keras>
  7. Self adversarial training for human pose estimation - 2017 <Paper>
  8. Adversarial posenet: A structure-aware convolutional network for human pose estimation - 2017 <Paper>
  9. Learning Feature Pyramids for Human Pose Estimation - 2017 <Paper> <Code-Torch>
  10. Knowledge-Guided Deep Fractal Neural Networks for Human Pose Estimation - 2017 <Paper>
  11. Compositional human pose regression - 2017 <Paper>
  12. LCR-Net: Localization-Classification-Regression for Human Pose - 2017 <Paper> <Project>
  13. Multi-context attention for human pose estimation - 2017 <Paper> <Code-Torch7>
  14. Structured feature learning for pose estimation - 2016 <Paper> <Code-Caffe> <Project>
  15. Convolutional pose machines - 2016 <Paper> <Code-Caffe>
  16. Recurrent human pose estimation - 2016 <Paper>
  17. Human pose estimation via Convolutional Part Heatmap Regression - 2016 <Paper> <Code-Torch> <Project>
  18. Stacked Hourglass Networks for Human Pose Estimation - 2016 <Paper> <Code-Torch-train> <Code-Torch-demo> <Project>
  19. Chained Predictions Using Convolutional Neural Networks - 2016 <Paper>
  20. Human Pose Estimation Using Deep Consensus Voting - 2016 <Paper> <Code-Caffe> <Project>
  21. End-to-end learning of deformable mixture of parts and deep convolutional neural networks for human pose estimation - 2016 <Paper> <Code-Matlab>
  22. Human Pose Estimation with Iterative Error Feedback - 2015 <Paper> <Code-Caffe> <Project>
  23. Combining local appearance and holistic view: Dual-source deep neural networks for human pose estimation - 2015 <Paper> <Code-Caffe> <Project>
  24. Flowing convnets for human pose estimation in videos - 2015 <Paper> <Code-Caffe> <Project>
  25. Learning Human Pose Estimation Features with Convolutional Networks - 2014 <Paper>
  26. Efficient Object Localization Using Convolutional Networks - 2014 <Paper>
  27. Multi-source deep learning for human pose estimation - 2014 <Paper>
  28. Heterogeneous Multi-task Learning for Human Pose Estimation with Deep CNN - 2014 <Paper>
  29. Human Pose Estimation and Activity Classification Using Convolutional Neural Networks - 2014 <Paper>
  30. Joint training of a convolutional network and a graphical model for human pose estimation - 2014 <Paper>
  31. Articulated pose estimation by a graphical model with image dependent pairwise relations - 2014 <Paper>
  32. Pose Machines- Articulated Pose Estimation via Inference Machines - 2014 <Paper> <Project>
  33. DeepPose: Human Pose Estimation via Deep Neural Networks - 2013 <Paper>

2. Multi-Person

  1. Deep High-Resolution Representation Learning for Human Pose Estimation - CVPR2019 <Paper> <Code-PyTorch> <Project>
  2. Human Pose Estimation with Spatial Contextual Information - 2019 <Paper>
  3. Pose Partition Networks for Multi-Person Pose Estimation - ECCV2018 <Paper> <Code-PyTorch>
  4. MultiPoseNet: Fast Multi-Person Pose Estimation using Pose Residual Network - ECCV2018 <Paper> <Code-PyTorch>
  5. Learning to Refine Human Pose Estimation - 2018 <Paper>
  6. Pose Flow: Efficient Online Pose Tracking - BMVC2018 <Paper> <Code-OpenCV>
  7. Simple Baselines for Human Pose Estimation and Tracking - 2018-MSRA <Paper> <Code-PyTorch>
  8. Data Distillation: Towards Omni-Supervised Learning - 2017 - FAIR <Paper>
  9. Cascaded Pyramid Network for Multi-Person Pose Estimation - 2017 - Face++ <Paper> <Code-Tensorflow>
  10. Associative Embedding: End-to-End Learning for Joint Detection and Grouping <Paper> <Code-Tensorflow> <Code-PyTorch>
  11. ArtTrack: Articulated Multi-person Tracking in the Wild - 2017 <Paper> <Code-TensorFlow>
  12. An efficient convolutional network for human pose estimation - 2017 <Paper>
  13. PoseTrack: Joint Multi-Person Pose Estimation and Tracking - 2017 <Paper> <Code-Caffe> <Project> <PoseTrack Challenge>
  14. Towards Accurate Multi-person Pose Estimation in the Wild - 2017 <Paper>
  15. Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields - 2016 <Paper> <Code-Caffe> <Openpose> <Code-PyTorch> <Code-Chainer>
  16. RMPE: Regional Multi-person Pose Estimation - 2016 <Paper> <Code-Caffe>
  17. DeeperCut: A Deeper, Stronger, and Faster Multi-Person Pose Estimation Model - 2016 <Paper> <Code-Caffe> <Code-TensorFlow>
  18. DeepCut: Joint Subset Partition and Labeling for Multi Person Pose Estimation - 2015 <Paper> <Code-Caffe>
  19. Multi-Person Pose Estimation with Local Joint-to-Person Associations - 2016 <Paper>
Last modification:March 6th, 2019 at 09:57 pm