Other Resources

2014

• niais/Awesome-Skeleton-based-Action-Recognition
• Kali-Hac/Awesome-Skeleton-Based-Models
• Yingfei-Wu/Awesome-Self-supervised-Skeleton-based-Action-Recognition
• qbxlvnf11/skeleton-based-action-recognition-methods
• cagbal/Skeleton-Based-Action-Recognition-Papers-and-Notes
• XiaoCode-er/Skeleton-Based-Action-Recognition-Papers
• leviethung2103/awesome-skeleton-based-action-recognition
• fdu-wuyuan/Siren
• manjunath5496/Skeleton-based-Action-Recognition-Papers
• liaomingg/action_recognition_and_skeleton_detection_summary
• caglarmert/MOT-Research/wiki/Awesome-Action-Recognition
• shuangshuangguo/skeleton-based-action-recognition-review

Papers

2014

• [paper
• [paper
• [paper

2015

• [paper
• [paper
• [paper
• [paper
• [paper
• [paper

2016

• [paper - D)] [🔥]
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper

2017

• [paper - huang/LieNet)]
• [paper
• [paper
• [paper
• [paper - Adaptive-Neural-Networks-for-Skeleton-based-Human-Action-Recognition)] [🔥] [⭐]
• [paper - LSTM)]
• [paper
• [paper
• [paper - Kim/TCNActionRecognition)] [🔥] [⭐]
• [paper
• [paper

2018

• [paper - based-Human-Action-Recognition)]
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper - gcn/blob/master/OLD_README.md)] [🔥] [⭐]
• [paper - Representation-Learning-with-Long-Term-Dynamics-for-Skeleton-Based-Action-Recognition)]
• [paper
• [paper
• [paper
• [paper - pytorch)] [🔥] [⭐]
• [paper - attention-networks/MANs)]
• [paper - gcn)]
• [paper
• [paper
• [paper
• [paper - wang/Beyond-Joints)]
• [paper
• [paper
• [paper
• [paper
• [paper

2019

• [paper - AGCN)] [🔥] [⭐]
• [paper - GCN)] [🔥] [⭐]
• [paper - PyTorch)] [🔥] [⭐]
• [paper
• [paper
• [paper
• [paper
• [paper - stgcn)]
• [paper
• [paper
• [paper
• [paper
• [paper - GCNv1)]
• [paper
• [paper - D)] [🔥]
• [paper - Adaptive-Neural-Networks-for-Skeleton-based-Human-Action-Recognition)] [🔥] [⭐]
• [paper - Fusion-Network)]
• [paper - invariant-action-recognition-based-on-3D-bio-constrained-skeletons)]
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper

2020

• [paper - g3d)] [🔥] [⭐]
• [paper - GCN)] [🔥] [⭐]
• [paper
• [paper - Cluster)] [⭐]
• [paper
• [paper
• [paper - NAS)] [🔥] [⭐]
• [paper
• [paper
• [paper - research/skelact)] [⭐]
• [paper
• [paper
• [paper
• [paper - ignet)]
• [paper
• [paper - AGCN)] [🔥] [⭐]
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper - DropGraph)] [🔥]
• [paper - human-pose)]
• [paper
• [paper

2021

• [paper
• [paper - Black-box-Attack-on-Skeletal-Action-Recognition)]
• [paper - the-Robustness-of-Skeleton-based-Action-Recognition-under-Adversarial-Attack)]
• [paper - Chen/CTR-GCN)] [🔥] [⭐]
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper - GCN)] [🔥]
• [paper
• [paper
• [paper
• [paper - based-One-shot-Action-Recognition)]
• [paper
• [paper
• [paper - zsl)]
• [paper
• [paper
• [paper - GCN-plus)]
• [paper
• [paper
• [paper
• [paper - SIAT/PCRP)]
• [paper - rel-net)]
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper - integral-cnn-fusion-3d-har)]
• [paper - GCN)]
• [paper
• [paper
• [paper
• [paper
• [paper - attention-networks/MANs)] [🔥]
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper - idea/SAP)]
• [paper
• [paper
• [paper - Network)]
• [paper - contrast)]
• [paper
• [paper - PAVIS/UHAR_Skeletal_Laplacian)]
• [paper
• [paper - TR)] [🔥] [⭐]
• [paper - li/PR-GCN)]
• [paper
• [paper
• [paper

2022

• [paper
• [paper
• [paper
• [paper
• [paper - research/skelact)] [🔥] [⭐]
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper - dml)]
• [paper - GAN)]
• [paper
• [paper - GCN)]
• [paper - Learning)]
• [paper - STGNet)]
• [paper