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2s-agcn

Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition in CVPR19

acfl

action-net

actionrecognition-cmr

Code for AAAI2021 paper "Learning Comprehensive Motion Representation for Action Recognition"

angular-skeleton-encoding

Sourcecode for the paper: Fusing Higher-Order Features in Graph Neural Networks for Skeleton-Based Action Recognition

as-cal

Augmented Skeleton Based Contrastive Action Learning with Momentum LSTM for Unsupervised Action Recognition

attention3dhumanpose

The project is an official implementation of our CVPR2020 paper "Attention Mechanism Exploits Temporal Contexts: Real-time 3D Human Pose Reconstruction"

awesome-skeleton-based-action-recognition

A curated paper list of awesome skeleton-based action recognition.

blockgcn

cnn_kinect

大创：利用CNN和Kinect进行动作识别

continual-skeletons

Official codebase for "Online Skeleton-based Action Recognition with Continual Spatio-Temporal Graph Convolutional Networks"

crossclr

The Official PyTorch implementation of "3D Human Action Representation Learning via Cross-View Consistency Pursuit" in CVPR 2021

ctr-gcn

Official code for "Channel-wise Topology Refinement Graph Convolution for Skeleton-Based Action Recognition"

cvpr2023-papers-with-code-demo

收集 CVPR 最新的成果，包括论文、代码和demo视频等，欢迎大家推荐！

dcanet

Deep Connected Attention Networks

degcn_pytorch

Official PyTorch implementation of "DeGCN : Deformable Graph Convolutional Networks for Skeleton-Based Action Recognition"

dmgnn

The implementation of DMGNN

dmsanet

Code for the paper DMSANet: Dual Multi Scale Attention Network

dogv-st3d

An implementation for "Exploiting Spatio-Temporal Representation for 3D Human Action from Depth Map Sequences"

dsta-net

dyfpn

dynamic-convolution-pytorch

Pytorch!!!Pytorch!!!Pytorch!!! Dynamic Convolution: Attention over Convolution Kernels (CVPR-2020)

ecanet

Code for ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks

efficientgcnv1

EfficientGCN v1 for skeleton-based action recognition, submitted to IEEE T-PAMI

exe-gan

exrac

[AAAI24] Official Pytorch Implementation of Count What You Want: Exemplar Identification and Few-shot Counting of Human Actions in the Wild

falldetector-public

Fall detector with an overhead camera

federated-hcm-diagnosis

A study in multi-center imaging diagnostics, emphasizing on the modality of cardiovascular magnetic resonance and the prediction of hypertrophic cardiomyopathy.

ff-tmn

fr-head

Code repository for the paper "Learning Discriminative Representations for Skeleton Based Action Recognition". CVPR 2023