/awesome-skeleton-based-action-recognition

Awesome Activity Prediction: Awesome

A paper list of Activity Prediction and related area resources, inspired by awesome-computer-vision and awesome-action-recognition.

I will summarize the papers from 2017 - 2019. In case of papers from 2019, the code will be updated later.

Contents

Arxiv Papers

  • [Sym-GNN] Symbiotic Graph Neural Networks for 3D Skeleton-based Human Action Recognition and Motion Prediction [Paper] [Code]

  • Semantics-Guided Neural Networks for Efficient Skeleton-Based Human Action Recognition [Paper]

  • Optimized Skeleton-based Action Recognition via Sparsified Graph Regression [Paper]

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

  • Skeleton-based Activity Recognition with Local Order Preserving Match of Linear Patches [Paper]

Survey

  • A Comparative Review of Recent Kinect-based Action Recognition Algorithms [Paper]

2019

  • NTU-RGB+D 120: A Large-Scale Benchmark for 3D Human Activity Understanding (TPAMI 2019) [[arxiv]] (https://arxiv.org/pdf/1905.04757.pdf) [Homepage][Github]
  • [VA-NN] View Adaptive Neural Networks for High Performance Skeleton-based Human Action Recognition (TPAMI 2019) [arxiv] [Github]
  • [DGNN] Skeleton-Based Action Recognition With Directed Graph Neural Networks (CVPR 2019) [paper][unofficial PyTorch implementation]
  • [2s-AGCN] Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition (CVPR 2019) [paper] [Github]
  • [AS-GCN]] Actional-Structural Graph Convolutional Networks for Skeleton-based Action Recognition (CVPR 2019) [arxiv] [Github]
  • [AGC-LSTM] An Attention Enhanced Graph Convolutional LSTM Network for Skeleton-Based Action Recognition (CVPR 2019) [arxiv]
  • Richly Activated Graph Convolutional Network for Action Recognition with Incomplete Skeletons (ICIP 2019) [arxiv] [Github]
  • [Paper] [Code]

Datasets

  • NTU RGB+D 120 Dataset [Homepage] [Github]

  • VARYING-VIEW RGB-D ACTION DATASET [arxiv]

  • SYSU 3D Human-Object Interaction Dataset (SYSU)

    This section only shows some popular or new datasets, other available datasets for 3D action recognition and their statistics can be found in the following Table from the journal paper of NTU RGB+D 120 Dataset [TPAMI]

datasets

Contributing

Feel free to send me email or Pull Request to add links.

References:

[1] https://niais.github.io/Awesome-Skeleton-based-Action-Recognition/

[2] https://github.com/XiaoCode-er/Skeleton-Based-Action-Recognition-Papers

Licenses

CC0

To the extent possible under law, Chin-An Cheng, Ching-Ju Cheng has waived all copyright and related or neighboring rights to this work.