mdongbenben / skeleton-based-action-recognition-papers

The paper list about skeleton-based action recognition.

Papers

RNN

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NTU

[1] NTU RGB+D: A Large Scale Dataset for 3D Human Activity Analysis

• intro: CVPR 2016, NTU RGB-D Dataset, Part-Aware LSTM, Benchmark Evaluation
• arxiv: https://arxiv.org/abs/1604.02808
• github: https://github.com/shahroudy/NTURGB-D
• github(TF): https://github.com/FesianXu/PLSTM

[2] Spatio-Temporal LSTM with Trust Gates for 3D Human Action Recognition

• intro: T-PAMI 2017, Spatio-Temporal LSTM
• arxiv: https://arxiv.org/abs/1607.07043
• github: https://github.com/kinect59/Spatio-Temporal-LSTM

[3] Skeleton Based Human Action Recognition with Global Context-Aware Attention LSTM Networks

• intro: CVPR 2017, Attention mechanism
• arxiv: https://arxiv.org/abs/1707.05740

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[4] Modeling Temporal Dynamics and Spatial Configurations of Actions Using Two-Stream Recurrent Neural Networks

• intro: CVPR 2017, Temporal RNN(Stacked RNN and Hierarchical RNN), Spatial RNN(Chain sequence and Traversal sequence)
• arxiv: https://arxiv.org/abs/1704.02581
• github: https://github.com/hongsong-wang/RNN-for-skeletons

[5] Learning content and style: Joint action recognition and person identification from human skeletons

• intro: PR 2018, Multi-task learning about action recognition and person identification
• github: https://github.com/hongsong-wang/Beyond-Joints

[6] Ensemble Deep Learning for Skeleton-based Action Recognition using Temporal Sliding LSTM networks

• intro: ICCV 2017, Refine NTU-D dataset
• github: https://github.com/InwoongLee/TS-LSTM

[7] View Adaptive Recurrent Neural Networks for High Performance Human Action Recognition from Skeleton Data

• intro: ICCV 2017, View Adaptation Subnetwork (RNN)
• arxiv: https://arxiv.org/abs/1703.08274

[8] View Adaptive Neural Networks for High Performance Skeleton-based Human Action Recognition

• intro: View Adaptation Subnetwork (RNN and CNN)
• arxiv: http://cn.arxiv.org/abs/1804.07453

[9] Independently Recurrent Neural Network (IndRNN): Building A Longer and Deeper RNN

• intro: CVPR 2018, Introduce the residual connectins to RNN
• arxiv: http://cn.arxiv.org/abs/1803.04831
• github(TF): https://github.com/batzner/indrnn
• github(Pytorch): https://github.com/StefOe/indrnn-pytorch

[10] Skeleton-Based Action Recognition with Spatial Reasoning and Temporal Stack Learning

• intro: ECCV 2018, Spatial reasoning network, Temporal stack learning network
• arxiv: https://arxiv.org/abs/1805.02335v1

[11] Adding Attentiveness to the Neurons in Recurrent Neural Networks

• intro: ECCV 2018, Element-wise-Attention Gate for an RNN Block
• arxiv: https://arxiv.org/abs/1807.04445v1

CNN

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Hikvision

[1] Skeleton-based Action Recognition with Convolutional Neural Networks

• intro: ICMEW 2017, Two stream cnn, Transformer
• arxiv: https://arxiv.org/abs/1704.07595

[2] Co-occurrence Feature Learning from Skeleton Data for Action Recognition and Detection with Hierarchical Aggregation

• intro: IJCAI 2018, Hierarchical co-occurrence feature, Transposing
• arxiv: https://arxiv.org/abs/1804.06055

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[3] Skeleton-Based Action Recognition with Synchronous Local and Non-local Spatio-temporal Learning and Frequency Attention

• intro: Frequency domain analysis, Non-local operation, Soft-margin focal loss, Transform Network
• arxiv: https://arxiv.org/abs/1811.04237

GCN

[1] Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition

• intro: AAAI 2018, Graph convolutional networks
• arxiv: https://arxiv.org/abs/1802.09834
• github: https://github.com/yysijie/st-gcn

[2] Deep Progressive Reinforcement Learning for Skeleton-based Action Recognition

• intro: CVPR 2018, Using reinforcement learning to select frames

[3] Non-Local Graph Convolutional Networks for Skeleton-Based Action Recognition

• intro: Two stream gcn, Non-Local network
• arxiv: https://arxiv.org/abs/1805.07694v2

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Other GITHUB Repos for Skeleton-based Action Recognition Papers and Small Notes

• https://github.com/cagbal/Skeleton-Based-Action-Recognition-Papers-and-Notes

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Updated: 2019/1/21