This repository is a curated list of academic papers focused on skeleton-based action recognition. It serves as a comprehensive resource for researchers and practitioners in computer vision and human-computer interaction, providing an organized collection of state-of-the-art and foundational works in the field.

How It Works

The repository categorizes papers by publication year and includes links to their respective papers. It also highlights papers with available code or high citation counts, offering a structured overview of the research landscape. The list is updated monthly, ensuring it remains current with the latest advancements.

Quick Start & Requirements

This repository is a curated list and does not require installation or execution. It serves as a reference guide.

Highlighted Details

• Comprehensive collection of papers from prominent conferences (CVPR, ICCV, ECCV, AAAI, ACM MM) and journals (TPAMI, IJCV, TIP, TMM, TCSVT, TNNLS, Neurocomputing).
• Papers are organized by year, with specific markers for highly cited papers ([🔥]) and those with available code and significant community interest ([⭐]).
• Includes links to survey papers and other relevant resources for a broader understanding of the field.
• Regularly updated (last update: Apr 30, 2025) to reflect the latest research.

Maintenance & Community

The repository is maintained by firework8 and welcomes contributions for missing papers. The last update was on April 30, 2025.

Licensing & Compatibility

The repository itself is a list of links and does not contain code that would typically be subject to software licensing. Compatibility is with any system that can access web links.

Limitations & Caveats

This repository is a passive resource and does not provide implementations or code for the papers listed. Users must independently find and implement the methods described in the papers.