Cover Image

Idempotent Unsupervised Representation Learning for Skeleton-Based Action Recognition

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lin, Lilang, Wu, Lehong, Zhang, Jiahang, Liu, Jiaying
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

MacDiff: Unified Skeleton Modeling with Masked Conditional Diffusion
by: Wu, Lehong, et al.
Published: (2024)

Shap-Mix: Shapley Value Guided Mixing for Long-Tailed Skeleton Based Action Recognition
by: Zhang, Jiahang, et al.
Published: (2024)

Self-Supervised Skeleton-Based Action Representation Learning: A Benchmark and Beyond
by: Zhang, Jiahang, et al.
Published: (2024)

HDBN: A Novel Hybrid Dual-branch Network for Robust Skeleton-based Action Recognition
by: Liu, Jinfu, et al.
Published: (2024)

S$^{5}$Mars: Semi-Supervised Learning for Mars Semantic Segmentation
by: Zhang, Jiahang, et al.
Published: (2022)

ReL-SAR: Representation Learning for Skeleton Action Recognition with Convolutional Transformers and BYOL
by: Naimi, Safwen, et al.
Published: (2024)

DynaPURLS: Dynamic Refinement of Part-Aware Representations for Skeleton-Based Zero-Shot Action Recognition
by: Zhu, Jingmin, et al.
Published: (2025)

Variational Contrastive Learning for Skeleton-based Action Recognition
by: Nguyen, Dang Dinh, et al.
Published: (2026)

Skeleton-Based Action Recognition with Spatial-Structural Graph Convolution
by: Wang, Jingyao, et al.
Published: (2024)

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

Mask and Compress: Efficient Skeleton-based Action Recognition in Continual Learning
by: Mosconi, Matteo, et al.
Published: (2024)

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

ASMa: Asymmetric Spatio-temporal Masking for Skeleton Action Representation Learning
by: Anand, Aman, et al.
Published: (2026)

Skeleton-to-Image Encoding: Enabling Skeleton Representation Learning via Vision-Pretrained Models
by: Yang, Siyuan, et al.
Published: (2026)

Neurosymbolic Framework for Concept-Driven Logical Reasoning in Skeleton-Based Human Action Recognition
by: Ilyas, Talha, et al.
Published: (2026)

Improving Skeleton-based Action Recognition with Interactive Object Information
by: Wen, Hao, et al.
Published: (2025)

Frequency-Enhanced Diffusion Models: Curriculum-Guided Semantic Alignment for Zero-Shot Skeleton Action Recognition
by: Zhou, Yuxi, et al.
Published: (2026)

TSGCNeXt: Dynamic-Static Multi-Graph Convolution for Efficient Skeleton-Based Action Recognition with Long-term Learning Potential
by: Liu, Dongjingdin, et al.
Published: (2023)

Frequency-Semantic Enhanced Variational Autoencoder for Zero-Shot Skeleton-based Action Recognition
by: Wu, Wenhan, et al.
Published: (2025)

One-Shot Action Recognition via Multi-Scale Spatial-Temporal Skeleton Matching
by: Yang, Siyuan, et al.
Published: (2023)

Evolving Skeletons: Motion Dynamics in Action Recognition
by: Qiu, Jushang, et al.
Published: (2025)

Signal-SGN++: Topology-Enhanced Time-Frequency Spiking Graph Network for Skeleton-Based Action Recognition
by: Zheng, Naichuan, et al.
Published: (2025)

Boosting Skeleton-based Zero-Shot Action Recognition with Training-Free Test-Time Adaptation
by: Zhu, Jingmin, et al.
Published: (2025)

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

Interactive Spatiotemporal Token Attention Network for Skeleton-based General Interactive Action Recognition
by: Wen, Yuhang, et al.
Published: (2023)

STAR: Semantic-Temporal Adaptive Representation Learning for Few-Shot Action Recognition
by: Liu, Hongli, et al.
Published: (2026)

Text-Derived Relational Graph-Enhanced Network for Skeleton-Based Action Segmentation
by: Ji, Haoyu, et al.
Published: (2025)

S3T-Former: A Purely Spike-Driven State-Space Topology Transformer for Skeleton Action Recognition
by: Zheng, Naichuan, et al.
Published: (2026)

KGS-GCN: Enhancing Sparse Skeleton Sensing via Kinematics-Driven Gaussian Splatting and Probabilistic Topology for Action Recognition
by: Chen, Yuhan, et al.
Published: (2026)

LSTC-MDA: A Unified Framework for Long-Short Term Temporal Convolution and Mixed Data Augmentation in Skeleton-Based Action Recognition
by: Ding, Feng, et al.
Published: (2025)

Integrating Skeleton Based Representations for Robust Yoga Pose Classification Using Deep Learning Models
by: Mohiuddin, Mohammed, et al.
Published: (2025)

An End-to-End Two-Stream Network Based on RGB Flow and Representation Flow for Human Action Recognition
by: Lai, Song-Jiang, et al.
Published: (2024)

Representation Learning for Compressed Video Action Recognition via Attentive Cross-modal Interaction with Motion Enhancement
by: Li, Bing, et al.
Published: (2022)

Unsupervised Domain Adaptation for Action Recognition via Self-Ensembling and Conditional Embedding Alignment
by: Ghosh, Indrajeet, et al.
Published: (2024)

Motif Guided Graph Transformer with Combinatorial Skeleton Prototype Learning for Skeleton-Based Person Re-Identification
by: Rao, Haocong, et al.
Published: (2024)

Visual Self-paced Iterative Learning for Unsupervised Temporal Action Localization
by: Hu, Yupeng, et al.
Published: (2023)

SkelVIT: Consensus of Vision Transformers for a Lightweight Skeleton-Based Action Recognition System
by: Karadag, Ozge Oztimur
Published: (2023)

Cluster Contrast for Unsupervised Visual Representation Learning
by: Giakoumoglou, Nikolaos, et al.
Published: (2025)

Conditional Idempotent Generative Networks
by: Ronchetti, Niccolò
Published: (2024)

TASAR: Transfer-based Attack on Skeletal Action Recognition
by: Diao, Yunfeng, et al.
Published: (2024)