Awesome Skeleton-based Action Recognition

We collect existing papers on skeleton-based action recognition published in prominent conferences and journals.

This paper list will be continuously updated at the end of each month.

Survey

Human Action Recognition from Various Data Modalities: A Review (TPAMI 2022) [paper]
Human action recognition and prediction: A survey (IJCV 2022) [paper]
Transformer for Skeleton-based action recognition: A review of recent advances (Neurocomputing 2023) [paper]
Action recognition based on RGB and skeleton data sets: A survey (Neurocomputing 2022) [paper]
ANUBIS: Review and Benchmark Skeleton-Based Action Recognition Methods with a New Dataset (2022 arXiv paper) [paper]
A Survey on 3D Skeleton-Based Action Recognition Using Learning Method (2020 arXiv paper) [paper]
A Comparative Review of Recent Kinect-based Action Recognition Algorithms (TIP 2019) [paper]

Papers

2023

ACM MM

Prompted Contrast with Masked Motion Modeling: Towards Versatile 3D Action Representation Learning [paper] [code]
Zero-shot Skeleton-based Action Recognition via Mutual Information Estimation and Maximization [paper] [code]
Skeleton-MixFormer: Multivariate Topology Representation for Skeleton-based Action Recognition [code]

ICCV

Hierarchically Decomposed Graph Convolutional Networks for Skeleton-Based Action Recognition [paper] [code]
Leveraging Spatio-Temporal Dependency for Skeleton-Based Action Recognition [paper] [code]
Masked Motion Predictors are Strong 3D Action Representation Learners [paper] [code]
SkeletonMAE: Graph-based Masked Autoencoder for Skeleton Sequence Pre-training [paper] [code]
MotionBERT: A Unified Perspective on Learning Human Motion Representations [paper] [code]
Hard No-Box Adversarial Attack on Skeleton-Based Human Action Recognition with Skeleton-Motion-Informed Gradient [paper] [code]
FSAR: Federated Skeleton-based Action Recognition with Adaptive Topology Structure and Knowledge Distillation [paper]

ICML

Ske2Grid: Skeleton-to-Grid Representation Learning for Action Recognition [paper] [code]

CVPR

Learning Discriminative Representations for Skeleton Based Action Recognition [paper] [code]
Neural Koopman Pooling: Control-Inspired Temporal Dynamics Encoding for Skeleton-Based Action Recognition [paper] [code]
Actionlet-Dependent Contrastive Learning for Unsupervised Skeleton-Based Action Recognition [paper] [code]
HaLP: Hallucinating Latent Positives for Skeleton-based Self-Supervised Learning of Actions [paper] [code]
STMT: A Spatial-Temporal Mesh Transformer for MoCap-Based Action Recognition [paper] [code]
3Mformer: Multi-order Multi-mode Transformer for Skeletal Action Recognition [paper]
Unified Pose Sequence Modeling [paper]
Unified Keypoint-based Action Recognition Framework via Structured Keypoint Pooling [paper]
Prompt-Guided Zero-Shot Anomaly Action Recognition using Pretrained Deep Skeleton Features [paper]

ICLR

Graph Contrastive Learning for Skeleton-based Action Recognition [paper] [code]
Hyperbolic Self-paced Learning for Self-supervised Skeleton-based Action Representations [paper] [code]

AAAI

Hierarchical Consistent Contrastive Learning for Skeleton-Based Action Recognition with Growing Augmentations [paper] [code]
Self-supervised Action Representation Learning from Partial Spatio-Temporal Skeleton Sequences [paper] [code]
Hierarchical Contrast for Unsupervised Skeleton-based Action Representation Learning [paper] [code]
Anonymization for Skeleton Action Recognition [paper] [code]
Defending Black-box Skeleton-based Human Activity Classifiers [paper] [code]
Novel Motion Patterns Matter for Practical Skeleton-based Action Recognition [paper]

IJCAI

Part Aware Contrastive Learning for Self-Supervised Action Recognition [paper] [code]

WACV

Adaptive Local-Component-aware Graph Convolutional Network for One-shot Skeleton-based Action Recognition [paper]

ICIP

Temporal-Channel Topology Enhanced Network for Skeleton-Based Action Recognition [paper] [code]

IROS

Interactive Spatiotemporal Token Attention Network for Skeleton-based General Interactive Action Recognition [paper] [code]

ICME

DD-GCN: Directed Diffusion Graph Convolutional Network for Skeleton-based Human Action Recognition [paper] [code]

ICMEW

SkeletonMAE: Spatial-Temporal Masked Autoencoders for Self-supervised Skeleton Action Recognition [paper]

TMM

Delving Deep into One-Shot Skeleton-based Action Recognition with Diverse Occlusions [paper] [code]
Temporal Decoupling Graph Convolutional Network for Skeleton-based Gesture Recognition [paper] [code]
Skeleton-based Action Recognition through Contrasting Two-Stream Spatial-Temporal Networks [paper]

TCSVT

Motion Complement and Temporal Multifocusing for Skeleton-based Action Recognition [paper] [code]
TranSkeleton: Hierarchical Spatial-Temporal Transformer for Skeleton-Based Action Recognition [paper]

TNNLS

Spatiotemporal Decouple-and-Squeeze Contrastive Learning for Semi-Supervised Skeleton-based Action Recognition [paper]
Learning Heterogeneous Spatial–Temporal Context for Skeleton-Based Action Recognition [paper]

Continual spatio-temporal graph convolutional networks [paper] [code]
Relation-mining self-attention network for skeleton-based human action recognition [paper] [code]
SpatioTemporal Focus for Skeleton-based Action Recognition [paper]

Neurocomputing

Focalized Contrastive View-invariant Learning for Self-supervised Skeleton-based Action Recognition [paper]
Spatio-temporal segments attention for skeleton-based action recognition [paper]

arXiv papers

Language Knowledge-Assisted Representation Learning for Skeleton-Based Action Recognition [paper] [code]
TSGCNeXt: Dynamic-Static Multi-Graph Convolution for Efficient Skeleton-Based Action Recognition with Long-term Learning Potential [paper] [code]
Overcoming Topology Agnosticism: Enhancing Skeleton-Based Action Recognition through Redefined Skeletal Topology Awareness [paper] [code]
Joint Adversarial and Collaborative Learning for Self-Supervised Action Recognition [paper] [code]
Pyramid Self-attention Polymerization Learning for Semi-supervised Skeleton-based Action Recognition [paper] [code]
Fourier Analysis on Robustness of Graph Convolutional Neural Networks for Skeleton-based Action Recognition [paper] [code]
High-Performance Inference Graph Convolutional Networks for Skeleton-Based Action Recognition [paper]
Dynamic Spatial-temporal Hypergraph Convolutional Network for Skeleton-based Action Recognition [paper]
Skeleton-based Human Action Recognition via Convolutional Neural Networks (CNN) [paper]
Cross-view Action Recognition via Contrastive View-invariant Representation [paper]
Action Recognition with Multi-stream Motion Modeling and Mutual Information Maximization [paper]
Self-Supervised 3D Action Representation Learning with Skeleton Cloud Colorization [paper]
Attack is Good Augmentation: Towards Skeleton-Contrastive Representation Learning [paper]
DMMG: Dual Min-Max Games for Self-Supervised Skeleton-Based Action Recognition [paper]
Spatial-temporal Transformer-guided Diffusion based Data Augmentation for Efficient Skeleton-based Action Recognition [paper]
Modiff: Action-Conditioned 3D Motion Generation with Denoising Diffusion Probabilistic Models [paper]
Skeleton-based action analysis for ADHD diagnosis [paper]
Multi-Dimensional Refinement Graph Convolutional Network with Robust Decouple Loss for Fine-Grained Skeleton-Based Action Recognition [paper]
Fine-grained Action Analysis: A Multi-modality and Multi-task Dataset of Figure Skating [paper]
Physical-aware Cross-modal Adversarial Network for Wearable Sensor-based Human Action Recognition [paper]

2022

CVPR

InfoGCN: Representation Learning for Human Skeleton-based Action Recognition [paper] [code]
Revisiting Skeleton-based Action Recognition [paper] [code]

ECCV

CMD: Self-supervised 3D Action Representation Learning with Cross-modal Mutual Distillation [paper] [code]
Hierarchically Self-Supervised Transformer for Human Skeleton Representation Learning [paper] [code]
Collaborating Domain-shared and Target-specific Feature Clustering for Cross-domain 3D Action Recognition [paper] [code]
Global-local Motion Transformer for Unsupervised Skeleton-based Action Learning [paper] [code]
Contrastive Positive Mining for Unsupervised 3D Action Representation Learning [paper]
Learning Spatial-Preserved Skeleton Representations for Few-Shot Action Recognition [paper]
Uncertainty-DTW for Time Series and Sequences [paper]

AAAI

Contrastive Learning from Extremely Augmented Skeleton Sequences for Self-supervised Action Recognition [paper] [code]
Topology-aware Convolutional Neural Network for Efficient Skeleton-based Action Recognition [paper] [code]
Towards To-a-T Spatio-Temporal Focus for Skeleton-Based Action Recognition [paper]

ACM MM

PYSKL: Towards Good Practices for Skeleton Action Recognition [paper] [code]
Shifting Perspective to See Difference: A Novel Multi-View Method for Skeleton based Action Recognition [paper] [code]
Skeleton-based Action Recognition via Adaptive Cross-Form Learning [paper] [code]
Global-Local Cross-View Fisher Discrimination for View-Invariant Action Recognition [paper]

CVPRW

Bootstrapped Representation Learning for Skeleton-Based Action Recognition [paper]

ECCVW

Mitigating Representation Bias in Action Recognition: Algorithms and Benchmarks [paper] [code]
PSUMNet: Unified Modality Part Streams are All You Need for Efficient Pose-based Action Recognition [paper] [code]
Strengthening Skeletal Action Recognizers via Leveraging Temporal Patterns [paper]

ACCV

Focal and Global Spatial-Temporal Transformer for Skeleton-based Action Recognition [paper]
Temporal-Viewpoint Transportation Plan for Skeletal Few-shot Action Recognition [paper]

WACV

Skeleton-DML: Deep Metric Learning for Skeleton-Based One-Shot Action Recognition [paper] [code]
Generative Adversarial Graph Convolutional Networks for Human Action Synthesis [paper] [code]

ICPR

Skeletal Human Action Recognition using Hybrid Attention based Graph Convolutional Network [paper]

TPAMI

Constructing Stronger and Faster Baselines for Skeleton-based Action Recognition [paper] [code]
Motif-GCNs With Local and Non-Local Temporal Blocks for Skeleton-Based Action Recognition [paper] [code]
Multi-Granularity Anchor-Contrastive Representation Learning for Semi-Supervised Skeleton-Based Action Recognition [paper] [code]

IJCV

Action2video: Generating Videos of Human 3D Actions [paper]

TIP

Contrast-reconstruction Representation Learning for Self-supervised Skeleton-based Action Recognition [paper] [code]
Multilevel Spatial–Temporal Excited Graph Network for Skeleton-Based Action Recognition [paper] [code]
SMAM: Self and Mutual Adaptive Matching for Skeleton-Based Few-Shot Action Recognition [paper]
X-Invariant Contrastive Augmentation and Representation Learning for Semi-Supervised Skeleton-Based Action Recognition [paper]

TMM

Skeleton-Based Mutually Assisted Interacted Object Localization and Human Action Recognition [paper]
Joint-bone Fusion Graph Convolutional Network for Semi-supervised Skeleton Action Recognition [paper]

TCSVT

Two-person Graph Convolutional Network for Skeleton-based Human Interaction Recognition [paper] [code]
Zoom Transformer for Skeleton-Based Group Activity Recognition [paper] [code]
Motion Guided Attention Learning for Self-Supervised 3D Human Action Recognition [paper]
Motion-Driven Spatial and Temporal Adaptive High-Resolution Graph Convolutional Networks for Skeleton-Based Action Recognition [paper]
View-Normalized and Subject-Independent Skeleton Generation for Action Recognition [paper]

TNNLS

Fusing Higher-Order Features in Graph Neural Networks for Skeleton-Based Action Recognition [paper] [code]

Neurocomputing

Forward-reverse adaptive graph convolutional networks for skeleton-based action recognition [paper] [code]
AFE-CNN: 3D Skeleton-based Action Recognition with Action Feature Enhancement [paper]
Hierarchical graph attention network with pseudo-metapath for skeleton-based action recognition [paper]
Skeleton-based similar action recognition through integrating the salient image feature into a center-connected graph convolutional network [paper]
PB-GCN: Progressive binary graph convolutional networks for skeleton-based action recognition [paper]

arXiv papers

Language Supervised Training for Skeleton-based Action Recognition [paper] [code]
DG-STGCN: Dynamic Spatial-Temporal Modeling for Skeleton-based Action Recognition [paper] [code]
Hypergraph Transformer for Skeleton-based Action Recognition [paper] [code]
Spatio-Temporal Tuples Transformer for Skeleton-Based Action Recognition [paper] [code]
Spatial Temporal Graph Attention Network for Skeleton-Based Action Recognition [paper] [code]
Contrastive Learning from Spatio-Temporal Mixed Skeleton Sequences for Self-Supervised Skeleton-Based Action Recognition [paper] [code]
ViA: View-invariant Skeleton Action Representation Learning via Motion Retargeting [paper] [code]
HAA4D: Few-Shot Human Atomic Action Recognition via 3D Spatio-Temporal Skeletal Alignment [paper] [code]
Skeleton-based Action Recognition Via Temporal-Channel Aggregation [paper]
Cross-Modal Learning with 3D Deformable Attention for Action Recognition [paper]
A New Spatial Adjacency Matrix of Skeleton Data Based on Self-loop and Adaptive Weights [paper]
View-Invariant Skeleton-based Action Recognition via Global-Local Contrastive Learning [paper]

2021

CVPR

3D Human Action Representation Learning via Cross-View Consistency Pursuit [paper] [code]
BASAR:Black-box Attack on Skeletal Action Recognition [paper] [code]
Understanding the Robustness of Skeleton-based Action Recognition under Adversarial Attack [paper] [code]

ICCV

Channel-wise Topology Refinement Graph Convolution for Skeleton-Based Action Recognition [paper] [code]
AdaSGN: Adapting Joint Number and Model Size for Efficient Skeleton-Based Action Recognition [paper] [code]
Skeleton Cloud Colorization for Unsupervised 3D Action Representation Learning [paper]
Self-supervised 3D Skeleton Action Representation Learning with Motion Consistency and Continuity [paper]

NeurIPS

Unsupervised Motion Representation Learning with Capsule Autoencoders [paper] [code]

AAAI

Multi-Scale Spatial Temporal Graph Convolutional Network for Skeleton-Based Action Recognition [paper] [code]
Spatio-Temporal Difference Descriptor for Skeleton-Based Action Recognition [paper]

ACM MM

Learning Multi-Granular Spatio-Temporal Graph Network for Skeleton-based Action Recognition [paper] [code]
STST: Spatial-Temporal Specialized Transformer for Skeleton-based Action Recognition [paper] [code]
Skeleton-Contrastive 3D Action Representation Learning [paper] [code]
Modeling the Uncertainty for Self-supervised 3D Skeleton Action Representation Learning [paper]

CVPRW

One-shot action recognition in challenging therapy scenarios [paper] [code]

BMVC

UNIK: A Unified Framework for Real-world Skeleton-based Action Recognition [paper] [code]
Unsupervised Human Action Recognition with Skeletal Graph Laplacian and Self-Supervised Viewpoints Invariance [paper] [code]
LSTA-Net: Long short-term Spatio-Temporal Aggregation Network for Skeleton-based Action Recognition [paper]

WACV

JOLO-GCN: Mining Joint-Centered Light-Weight Information for Skeleton-Based Action Recognition [paper]

ICPR

Learning Connectivity with Graph Convolutional Networks for Skeleton-based Action Recognition [paper]

ICIP

Syntactically Guided Generative Embeddings for Zero-Shot Skeleton Action Recognition [paper] [code]

ICRA

Pose Refinement Graph Convolutional Network for Skeleton-basedAction Recognition [paper] [code]

TPAMI

Symbiotic Graph Neural Networks for 3D Skeleton-Based Human Action Recognition and Motion Prediction [paper]
Tensor Representations for Action Recognition [paper]

IJCV

Quo Vadis, Skeleton Action Recognition? [paper] [code]

TIP

Extremely Lightweight Skeleton-Based Action Recognition with ShiftGCN++ [paper] [code]
Structural Knowledge Distillation for Efficient Skeleton-Based Action Recognition [paper] [code]
Feedback Graph Convolutional Network for Skeleton-Based Action Recognition [paper]
Hypergraph Neural Network for Skeleton-Based Action Recognition [paper]

TIFS

REGINA - Reasoning Graph Convolutional Networks in Human Action Recognition [paper] [code]

TMM

Prototypical Contrast and Reverse Prediction: Unsupervised Skeleton Based Action Recognition [paper] [code]
Interaction Relational Network for Mutual Action Recognition [paper] [code]
LAGA-Net: Local-and-Global Attention Network for Skeleton Based Action Recognition [paper]
A Multi-Stream Graph Convolutional Networks-Hidden Conditional Random Field Model for Skeleton-Based Action Recognition [paper]
Multi-Localized Sensitive Autoencoder-Attention-LSTM For Skeleton-based Action Recognition [paper]
Dear-Net: Learning Diversities for Skeleton-Based Early Action Recognition [paper]
Efficient Spatio-Temporal Contrastive Learning for Skeleton-Based 3-D Action Recognition [paper]
GA-Net: A Guidance Aware Network for Skeleton-Based Early Activity Recognition [paper]

TCSVT

Fuzzy Integral-Based CNN Classifier Fusion for 3D Skeleton Action Recognition [paper] [code]
A Central Difference Graph Convolutional Operator for Skeleton-Based Action Recognition [paper] [code]
Multi-Stream Interaction Networks for Human Action Recognition [paper]
A Cross View Learning Approach for Skeleton-Based Action Recognition [paper]
Symmetrical Enhanced Fusion Network for Skeleton-Based Action Recognition [paper]
Graph2Net: Perceptually-enriched graph learning for skeleton-based action recognition [paper]

TNNLS

Memory Attention Networks for Skeleton-Based Action Recognition [paper] [code]

Arbitrary-view human action recognition via novel-view action generation [paper] [code]
Tripool: Graph triplet pooling for 3D skeleton-based action recognition [paper]
Action recognition using kinematics posture feature on 3D skeleton joint locations [paper]
Scene image and human skeleton-based dual-stream human action recognition [paper]

Neurocomputing

Rethinking the ST-GCNs for 3D skeleton-based human action recognition [paper]
Attention adjacency matrix based graph convolutional networks for skeleton-based action recognition [paper]
Skeleton-based action recognition using sparse spatio-temporal GCN with edge effective resistance [paper]
Integrating vertex and edge features with Graph Convolutional Networks for skeleton-based action recognition [paper]
Adaptive multi-view graph convolutional networks for skeleton-based action recognition [paper]
Knowledge embedded GCN for skeleton-based two-person interaction recognition [paper]
Normal graph: Spatial temporal graph convolutional networks based prediction network for skeleton based video anomaly detection [paper]

arXiv papers

IIP-Transformer: Intra-Inter-Part Transformer for Skeleton-Based Action Recognition [paper] [code]
STAR: Sparse Transformer-based Action Recognition [paper] [code]
Self-attention based anchor proposal for skeleton-based action recognition [paper] [code]
Multi-Scale Semantics-Guided Neural Networks for Efficient Skeleton-Based Human Action Recognition [paper]
3D Skeleton-based Few-shot Action Recognition with JEANIE is not so Na¨ıve [paper]

2020

CVPR

Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition [paper] [code]
Skeleton-Based Action Recognition with Shift Graph Convolutional Network [paper] [code]
Semantics-Guided Neural Networks for Efficient Skeleton-Based Human Action Recognition [paper] [code]
PREDICT & CLUSTER: Unsupervised Skeleton Based Action Recognition [paper] [code]
Dynamic Multiscale Graph Neural Networks for 3D Skeleton Based Human Motion Prediction [paper] [code]
Context Aware Graph Convolution for Skeleton-Based Action Recognition [paper]

ECCV

Decoupling GCN with DropGraph Module for Skeleton-Based Action Recognition [paper] [code]
Unsupervised 3D Human Pose Representation with Viewpoint and Pose Disentanglement [paper] [code]
Adversarial Self-supervised Learning for Semi-supervised 3D Action Recognition [paper]

AAAI

Learning Graph Convolutional Network for Skeleton-based Human Action Recognition by Neural Searching [paper] [code]
Part-Level Graph Convolutional Network for Skeleton-Based Action Recognition [paper]
Learning Diverse Stochastic Human-Action Generators by Learning Smooth Latent Transitions [paper]

ACM MM

Stronger, Faster and More Explainable: A Graph Convolutional Baseline for Skeleton-based Action Recognition [paper] [code]
Dynamic GCN: Context-enriched Topology Learning for Skeleton-based Action Recognition [paper] [code]
Spatio-Temporal Inception Graph Convolutional Networks for Skeleton-Based Action Recognition [paper] [code]
MS2L: Multi-Task Self-Supervised Learning for Skeleton Based Action Recognition [paper] [code]
Action2Motion: Conditioned Generation of 3D Human Motions [paper] [code]
Group-Skeleton-Based Human Action Recognition in Complex Events [paper]
Mix Dimension in Poincaré Geometry for 3D Skeleton-based Action Recognition [paper]

NIPSW

Contrastive Self-Supervised Learning for Skeleton Action Recognition [paper]

ACCV

Decoupled Spatial-Temporal Attention Network for Skeleton-Based Action-Gesture Recognition [paper]

TPAMI

Learning Multi-View Interactional Skeleton Graph for Action Recognition [paper] [code]
Multi-Task Deep Learning for Real-Time 3D Human Pose Estimation and Action Recognition [paper] [code]

TIP

Skeleton-Based Action Recognition with Multi-Stream Adaptive Graph Convolutional Networks [paper] [code]

TMM

Hierarchical Soft Quantization for Skeleton-Based Human Action Recognition [paper]
Deep Manifold-to-Manifold Transforming Network for Skeleton-Based Action Recognition [paper]

TCSVT

Richly Activated Graph Convolutional Network for Robust Skeleton-based Action Recognition [paper] [code]

TNNLS

Adversarial Attack on Skeleton-Based Human Action Recognition [paper]

TOMM

A Benchmark Dataset and Comparison Study for Multi-modal Human Action Analytics [paper]

Skeleton-based action recognition with hierarchical spatial reasoning and temporal stack learning network [paper]

Neurocomputing

Exploring a rich spatial–temporal dependent relational model for skeleton-based action recognition by bidirectional LSTM-CNN [paper]
HDS-SP: A novel descriptor for skeleton-based human action recognition [paper]

2019

CVPR

Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition [paper] [code]
Actional-Structural Graph Convolutional Networks for Skeleton-based Action Recognition [paper] [code]
Skeleton-Based Action Recognition with Directed Graph Neural Networks [paper] [code]
Bayesian Hierarchical Dynamic Model for Human Action Recognition [paper] [code]
An Attention Enhanced Graph Convolutional LSTM Network for Skeleton-Based Action Recognition [paper]

ICCV

Bayesian Graph Convolution LSTM for Skeleton Based Action Recognition [paper]
Making the Invisible Visible: Action Recognition Through Walls and Occlusions [paper]

AAAI

Graph CNNs with Motif and Variable Temporal Block for Skeleton-Based Action Recognition [paper] [code]
Spatio-Temporal Graph Routing for Skeleton-Based Action Recognition [paper]

CVPRW

Three-Stream Convolutional Neural Network With Multi-Task and Ensemble Learning for 3D Action Recognition [paper]

ICCVW

Spatial Residual Layer and Dense Connection Block Enhanced Spatial Temporal Graph Convolutional Network for Skeleton-Based Action Recognition [paper]

WACV

Unsupervised Feature Learning of Human Actions As Trajectories in Pose Embedding Manifold [paper]

ICIP

Richly Activated Graph Convolutional Network for Action Recognition with Incomplete Skeletons [paper] [code]

ICME

Skeleton-Based Action Recognition with Synchronous Local and Non-local Spatio-temporal Learning and Frequency Attention [paper]
Relational Network for Skeleton-Based Action Recognition [paper]

TPAMI

NTU RGB+D 120: A Large-Scale Benchmark for 3D Human Activity Understanding [paper] [code]
View Adaptive Neural Networks for High Performance Skeleton-based Human Action Recognition [paper] [code]

TIP

Sample Fusion Network: An End-to-End Data Augmentation Network for Skeleton-Based Human Action Recognition [paper] [code]
View-Invariant Human Action Recognition Based on a 3D Bio-Constrained Skeleton Model [paper] [code]
EleAtt-RNN: Adding Attentiveness to Neurons in Recurrent Neural Networks [paper]
Learning Latent Global Network for Skeleton-Based Action Prediction [paper]

TMM

2-D Skeleton-Based Action Recognition via Two-Branch Stacked LSTM-RNNs [paper]
A Cuboid CNN Model With an Attention Mechanism for Skeleton-Based Action Recognition [paper]
Joint Learning in the Spatio-Temporal and Frequency Domains for Skeleton-Based Action Recognition [paper]

TCSVT

Action Recognition Scheme Based on Skeleton Representation With DS-LSTM Network [paper]

TNNLS

Graph Edge Convolutional Neural Networks for Skeleton-Based Action Recognition [paper]

Neurocomputing

Convolutional relation network for skeleton-based action recognition [paper]

2018

CVPR

Recognizing Human Actions as the Evolution of Pose Estimation Maps [paper] [code]
Independently Recurrent Neural Network (IndRNN): Building a Longer and Deeper RNN [paper] [code]
2D/3D Pose Estimation and Action Recognition Using Multitask Deep Learning [paper] [code]
Deep Progressive Reinforcement Learning for Skeleton-Based Action Recognition [paper]

ECCV

Skeleton-Based Action Recognition with Spatial Reasoning and Temporal Stack [paper]
Adding Attentiveness to the Neurons in Recurrent Neural Networks [paper]

AAAI

Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition [paper [code]
Unsupervised Representation Learning With Long-Term Dynamics for Skeleton Based Action Recognition [paper] [code]
Spatio-Temporal Graph Convolution for Skeleton Based Action Recognition [paper]

ACM MM

Optimized Skeleton-based Action Recognition via Sparsified Graph Regression [paper]
A Large-scale Varying-view RGB-D Action Dataset for Arbitrary-view Human Action Recognition [paper]

IJCAI

Co-occurrence Feature Learning from Skeleton Data for Action Recognition and Detection with Hierarchical Aggregation [paper] [code]
Memory Attention Networks for Skeleton-based Action Recognition [paper] [code]

BMVC

Part-based Graph Convolutional Network for Action Recognition [paper] [code]
A Fine-to-Coarse Convolutional Neural Network for 3D Human Action Recognition [paper]

ICIP

Joints Relation Inference Network for Skeleton-Based Action Recognition [paper]

ICME

Skeleton-Based Human Action Recognition Using Spatial Temporal 3D Convolutional Neural Networks [paper]

TIP

Beyond Joints: Learning Representations From Primitive Geometries for Skeleton-Based Action Recognition and Detection [paper] [code]
Learning Clip Representations for Skeleton-Based 3D Action Recognition [paper]

TMM

Attention-Based Multiview Re-Observation Fusion Network for Skeletal Action Recognition [paper]
Fusing Geometric Features for Skeleton-Based Action Recognition Using Multilayer LSTM Networks [paper]

TCSVT

Skeleton-Based Action Recognition With Gated Convolutional Neural Networks [paper]
Action Recognition With Spatio–Temporal Visual Attention on Skeleton Image Sequences [paper]

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

2017

CVPR

Deep Learning on Lie Groups for Skeleton-based Action Recognition [paper] [code]
Modeling Temporal Dynamics and Spatial Configurations of Actions Using Two-Stream Recurrent Neural Networks [paper]
Global Context-Aware Attention LSTM Networks for 3D Action Recognition [paper]
A New Representation of Skeleton Sequences for 3D Action Recognition [paper]

ICCV

View Adaptive Recurrent Neural Networks for High Performance Human Action Recognition from Skeleton Data [paper] [code]
Ensemble Deep Learning for Skeleton-Based Action Recognition Using Temporal Sliding LSTM Networks [paper] [code]
Learning Action Recognition Model From Depth and Skeleton Videos [paper]

AAAI

An End-to-End Spatio-Temporal Attention Model for Human Action Recognition from Skeleton Data [paper]

CVPRW

Interpretable 3D Human Action Analysis with Temporal Convolutional Networks [paper] [code]

ICMEW

Skeleton based action recognition using translation-scale invariant image mapping and multi-scale deep CNN [paper]
Investigation of different skeleton features for CNN-based 3D action recognition [paper]
Skeleton-based action recognition using LSTM and CNN [paper]

TPAMI

Skeleton-Based Action Recognition Using Spatio-Temporal LSTM Network with Trust Gates [paper] [code]

TIP

Skeleton-Based Human Action Recognition With Global Context-Aware Attention LSTM Networks [paper]

Learning discriminative trajectorylet detector sets for accurate skeleton-based action recognition [paper]
Enhanced skeleton visualization for view invariant human action recognition [paper]

2016

CVPR

NTU RGB+D: A Large Scale Dataset for 3D Human Activity Analysis [paper] [code]
Rolling Rotations for Recognizing Human Actions from 3D Skeletal Data [paper]

ECCV

Temporal segment networks: Towards good practices for deep action recognition [paper] [code]
Spatio-Temporal LSTM with Trust Gates for 3D Human Action Recognition [paper]

AAAI

Co-occurrence Feature Learning for Skeleton based Action Recognition using Regularized Deep LSTM Networks [paper]

ACM MM

Action Recognition Based on Joint Trajectory Maps Using Convolutional Neural Networks [paper]

TIP

Representation Learning of Temporal Dynamics for Skeleton-Based Action Recognition [paper]

TMM

Discriminative Multi-instance Multitask Learning for 3D Action Recognition [paper]

TCSVT

Skeleton Optical Spectra-Based Action Recognition Using Convolutional Neural Networks [paper]

2015

CVPR

Hierarchical Recurrent Neural Network for Skeleton Based Action Recognition [paper]
Jointly learning heterogeneous features for RGB-D activity recognition [paper]

ICCV

Learning Spatiotemporal Features with 3D Convolutional Networks [paper] [code]

TPAMI

Multimodal Multipart Learning for Action Recognition in Depth Videos [paper]

TMM

Effective Active Skeleton Representation for Low Latency Human Action Recognition [paper]

Neurocomputing

Skeleton-based action recognition with extreme learning machines [paper]

2014

CVPR

Cross-view Action Modeling, Learning and Recognition [paper]
Human Action Recognition by Representing 3D Skeletons as Points in a Lie Group [paper]

NeurIPS

Two-Stream Convolutional Networks for Action Recognition in Videos [paper]

Other Resources

With all the resources available on the github website, this paper list is comprehensive and recently updated.

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