1. Single Person
- Fast Human Pose Estimation - 2018 <Paper>
- Deeply Learned Compositional Models for Human Pose Estimation - ECCV2018 <Paper> <Poster> <Homepage> <Code-Torch>
- A Cascaded Inception of Inception Network with AttentionModulated Feature Fusion for Human Pose Estimation - AAAI2018 <Paper>
- Multi-Scale Structure-Aware Network for Human Pose Estimation - 2018 <Paper>
- Integral Human Pose Regression - 2017 <Paper> <Code-Pytorch>
- Human Pose Regression by Combining Indirect Part Detection and Contextual Information - 2017 <Paper> <Code-Keras>
- Self adversarial training for human pose estimation - 2017 <Paper>
- Adversarial posenet: A structure-aware convolutional network for human pose estimation - 2017 <Paper>
- Learning Feature Pyramids for Human Pose Estimation - 2017 <Paper> <Code-Torch>
- Knowledge-Guided Deep Fractal Neural Networks for Human Pose Estimation - 2017 <Paper>
- Compositional human pose regression - 2017 <Paper>
- LCR-Net: Localization-Classification-Regression for Human Pose - 2017 <Paper> <Project>
- Multi-context attention for human pose estimation - 2017 <Paper> <Code-Torch7>
- Structured feature learning for pose estimation - 2016 <Paper> <Code-Caffe> <Project>
- Convolutional pose machines - 2016 <Paper> <Code-Caffe>
- Recurrent human pose estimation - 2016 <Paper>
- Human pose estimation via Convolutional Part Heatmap Regression - 2016 <Paper> <Code-Torch> <Project>
- Stacked Hourglass Networks for Human Pose Estimation - 2016 <Paper> <Code-Torch-train> <Code-Torch-demo> <Project>
- Chained Predictions Using Convolutional Neural Networks - 2016 <Paper>
- Human Pose Estimation Using Deep Consensus Voting - 2016 <Paper> <Code-Caffe> <Project>
- End-to-end learning of deformable mixture of parts and deep convolutional neural networks for human pose estimation - 2016 <Paper> <Code-Matlab>
- Human Pose Estimation with Iterative Error Feedback - 2015 <Paper> <Code-Caffe> <Project>
- Combining local appearance and holistic view: Dual-source deep neural networks for human pose estimation - 2015 <Paper> <Code-Caffe> <Project>
- Flowing convnets for human pose estimation in videos - 2015 <Paper> <Code-Caffe> <Project>
- Learning Human Pose Estimation Features with Convolutional Networks - 2014 <Paper>
- Efficient Object Localization Using Convolutional Networks - 2014 <Paper>
- Multi-source deep learning for human pose estimation - 2014 <Paper>
- Heterogeneous Multi-task Learning for Human Pose Estimation with Deep CNN - 2014 <Paper>
- Human Pose Estimation and Activity Classification Using Convolutional Neural Networks - 2014 <Paper>
- Joint training of a convolutional network and a graphical model for human pose estimation - 2014 <Paper>
- Articulated pose estimation by a graphical model with image dependent pairwise relations - 2014 <Paper>
- Pose Machines- Articulated Pose Estimation via Inference Machines - 2014 <Paper> <Project>
- DeepPose: Human Pose Estimation via Deep Neural Networks - 2013 <Paper>
2. Multi-Person
- Deep High-Resolution Representation Learning for Human Pose Estimation - CVPR2019 <Paper> <Code-PyTorch> <Project>
- Human Pose Estimation with Spatial Contextual Information - 2019 <Paper>
- Pose Partition Networks for Multi-Person Pose Estimation - ECCV2018 <Paper> <Code-PyTorch>
- MultiPoseNet: Fast Multi-Person Pose Estimation using Pose Residual Network - ECCV2018 <Paper> <Code-PyTorch>
- Learning to Refine Human Pose Estimation - 2018 <Paper>
- Pose Flow: Efficient Online Pose Tracking - BMVC2018 <Paper> <Code-OpenCV>
- Simple Baselines for Human Pose Estimation and Tracking - 2018-MSRA <Paper> <Code-PyTorch>
- Data Distillation: Towards Omni-Supervised Learning - 2017 - FAIR <Paper>
- Cascaded Pyramid Network for Multi-Person Pose Estimation - 2017 - Face++ <Paper> <Code-Tensorflow>
- Associative Embedding: End-to-End Learning for Joint Detection and Grouping <Paper> <Code-Tensorflow> <Code-PyTorch>
- ArtTrack: Articulated Multi-person Tracking in the Wild - 2017 <Paper> <Code-TensorFlow>
- An efficient convolutional network for human pose estimation - 2017 <Paper>
- PoseTrack: Joint Multi-Person Pose Estimation and Tracking - 2017 <Paper> <Code-Caffe> <Project> <PoseTrack Challenge>
- Towards Accurate Multi-person Pose Estimation in the Wild - 2017 <Paper>
- Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields - 2016 <Paper> <Code-Caffe> <Openpose> <Code-PyTorch> <Code-Chainer>
- RMPE: Regional Multi-person Pose Estimation - 2016 <Paper> <Code-Caffe>
- DeeperCut: A Deeper, Stronger, and Faster Multi-Person Pose Estimation Model - 2016 <Paper> <Code-Caffe> <Code-TensorFlow>
- DeepCut: Joint Subset Partition and Labeling for Multi Person Pose Estimation - 2015 <Paper> <Code-Caffe>
- Multi-Person Pose Estimation with Local Joint-to-Person Associations - 2016 <Paper>
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