Cover Image

Generative Data Augmentation for Skeleton Action Recognition

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Dong, Xu, Li, Wanqing, Adeyemi-Ejeye, Anthony, Gilbert, Andrew
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Interpretable Long-term Action Quality Assessment
by: Dong, Xu, et al.
Published: (2024)

Joint Temporal Pooling for Improving Skeleton-based Action Recognition
by: Gunasekara, Shanaka Ramesh, et al.
Published: (2024)

Spatio-Temporal Joint Density Driven Learning for Skeleton-Based Action Recognition
by: Gunasekara, Shanaka Ramesh, et al.
Published: (2025)

Unsupervised Spatial-Temporal Feature Enrichment and Fidelity Preservation Network for Skeleton based Action Recognition
by: Li, Chuankun, et al.
Published: (2024)

Active Generation Network of Human Skeleton for Action Recognition
by: Liu, Long, et al.
Published: (2024)

SBF: An Effective Representation to Augment Skeleton for Video-based Human Action Recognition
by: Peng, Zhuoxuan, et al.
Published: (2026)

Recovering Complete Actions for Cross-dataset Skeleton Action Recognition
by: Liu, Hanchao, et al.
Published: (2024)

Marrying Text-to-Motion Generation with Skeleton-Based Action Recognition
by: Kuang, Jidong, et al.
Published: (2026)

An Information Compensation Framework for Zero-Shot Skeleton-based Action Recognition
by: Xu, Haojun, et al.
Published: (2024)

SkeletonAgent: An Agentic Interaction Framework for Skeleton-based Action Recognition
by: Liu, Hongda, et al.
Published: (2025)

Expressive Keypoints for Skeleton-based Action Recognition via Skeleton Transformation
by: Yang, Yijie, et al.
Published: (2024)

DAGait: Generalized Skeleton-Guided Data Alignment for Gait Recognition
by: Wu, Zhengxian, et al.
Published: (2025)

An Improved Graph Pooling Network for Skeleton-Based Action Recognition
by: Wu, Cong, et al.
Published: (2024)

Towards Universal Skeleton-Based Action Recognition
by: Kuang, Jidong, et al.
Published: (2026)

SkeletonContext: Skeleton-side Context Prompt Learning for Zero-Shot Skeleton-based Action Recognition
by: Wang, Ning, et al.
Published: (2026)

Interpretable Action Recognition on Hard to Classify Actions
by: Anichenko, Anastasia, et al.
Published: (2024)

PoseBridge: Bridging the Skeletonization Gap for Zero-Shot Skeleton-Based Action Recognition
by: Lee, Sanghyeon, et al.
Published: (2026)

Enhancing Action Recognition from Low-Quality Skeleton Data via Part-Level Knowledge Distillation
by: Liu, Cuiwei, et al.
Published: (2024)

DEAR: Depth-Enhanced Action Recognition
by: Rahmaniboldaji, Sadegh, et al.
Published: (2024)

A Generically Contrastive Spatiotemporal Representation Enhancement for 3D Skeleton Action Recognition
by: Zhang, Shaojie, et al.
Published: (2023)

3D Skeleton-Based Action Recognition: A Review
by: Liu, Mengyuan, et al.
Published: (2025)

LORTSAR: Low-Rank Transformer for Skeleton-based Action Recognition
by: Oraki, Soroush, et al.
Published: (2024)

HFGCN:Hypergraph Fusion Graph Convolutional Networks for Skeleton-Based Action Recognition
by: Dong, Pengcheng, et al.
Published: (2025)

High-Performance Inference Graph Convolutional Networks for Skeleton-Based Action Recognition
by: Wang, Junyi, et al.
Published: (2023)

Skarimva: Skeleton-based Action Recognition is a Multi-view Application
by: Bermuth, Daniel, et al.
Published: (2026)

SUGAR: Learning Skeleton Representation with Visual-Motion Knowledge for Action Recognition
by: Ye, Qilang, et al.
Published: (2025)

Balanced Representation Learning for Long-tailed Skeleton-based Action Recognition
by: Liu, Hongda, et al.
Published: (2023)

Gate-Shift-Pose: Enhancing Action Recognition in Sports with Skeleton Information
by: Bianchi, Edoardo, et al.
Published: (2025)

Multi-Modality Co-Learning for Efficient Skeleton-based Action Recognition
by: Liu, Jinfu, et al.
Published: (2024)

Synchronized and Fine-Grained Head for Skeleton-Based Ambiguous Action Recognition
by: Huang, Hao, et al.
Published: (2024)

Local Spherical Harmonics Improve Skeleton-Based Hand Action Recognition
by: Prasse, Katharina, et al.
Published: (2023)

GCN-DevLSTM: Path Development for Skeleton-Based Action Recognition
by: Jiang, Lei, et al.
Published: (2024)

MS-CLR: Multi-Skeleton Contrastive Learning for Human Action Recognition
by: Kiray, Mert, et al.
Published: (2025)

LLM Enhanced Action Recognition via Hierarchical Global-Local Skeleton-Language Model
by: Wang, Ruosi, et al.
Published: (2026)

DoGCLR: Dominance-Game Contrastive Learning Network for Skeleton-Based Action Recognition
by: Li, Yanshan, et al.
Published: (2025)

HyLiFormer: Hyperbolic Linear Attention for Skeleton-based Human Action Recognition
by: Li, Yue, et al.
Published: (2025)

M3GCLR: Multi-View Mini-Max Infinite Skeleton-Data Game Contrastive Learning For Skeleton-Based Action Recognition
by: Li, Yanshan, et al.
Published: (2026)

Topological Symmetry Enhanced Graph Convolution for Skeleton-Based Action Recognition
by: Liang, Zeyu, et al.
Published: (2024)

SkeletonX: Data-Efficient Skeleton-based Action Recognition via Cross-sample Feature Aggregation
by: Zhang, Zongye, et al.
Published: (2025)

Motion Matters: Motion-guided Modulation Network for Skeleton-based Micro-Action Recognition
by: Gu, Jihao, et al.
Published: (2025)