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shiyin-lc's Projects

as-gcn icon as-gcn

The model architecture of AS-GCN (for human action recognition)

crossclr icon crossclr

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

ctr-gcn icon ctr-gcn

[ICCV2021] Official code for "Channel-wise Topology Refinement Graph Convolution for Skeleton-Based Action Recognition"

dd-gcn icon dd-gcn

The implementation of DD-GCN in ICME 2023.

dgl icon dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

dgnn-pytorch icon dgnn-pytorch

Unofficial PyTorch implementation of the CVPR'19 paper "Skeleton-Based Action Recognition with Directed Graph Neural Networks".

icmew2024-track10 icon icmew2024-track10

[ICMEW 2024] Implementation of the paper “HDBN: A Novel Hybrid Dual-branch Network for Robust Skeleton-based Action Recognition“.

infogcn icon infogcn

Official implementation for "InfoGCN: Representation Learning for Human Skeleton-Based Action Recognition"

mmaction2 icon mmaction2

OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark

moco icon moco

PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722

mocodad icon mocodad

The official PyTorch implementation of the IEEE/CVF International Conference on Computer Vision (ICCV) '23 paper Multimodal Motion Conditioned Diffusion Model for Skeleton-based Video Anomaly Detection.

ms-g3d icon ms-g3d

[CVPR 2020 Oral] PyTorch implementation of "Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition"

pytorchinsight icon pytorchinsight

a pytorch lib with state-of-the-art architectures, pretrained models and real-time updated results

ra-gcnv2 icon ra-gcnv2

RA-GCN v2 for incomplete skeleton-based action recognition, accepted by IEEE T-CSVT

shift-gcn icon shift-gcn

The implementation for "Skeleton-Based Action Recognition with Shift Graph Convolutional Network" (CVPR2020 oral).

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