Skeletal join forecasting
-
Updated
May 9, 2024 - Python
Skeletal join forecasting
Unofficial Tensorflow implementation of the CVPR'19 paper "Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition"
Time series Forecasting on the NTU_RGB+D skeleton dataset using AutoFormer and FEDFormer
NTU RGB+D Dataset Action Recognition with GNNs and CNNs
Action-Localization, Atomic Visual Actions (AVA) Dataset
experiments on classifying actions using poses
Official pytorch implementation for PSUMNet for efficient skeleton action recognition
Course Project for CS763 Computer Vision IIT Bombay
Human Action Recognition using skeleton and infrared data. State-of-the-art results on NTU RBG+D. Implemented with PyTorch.
Unofficial Tensorflow implementation of the AAAI'18 paper "Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition"
Offical implementation of paper "MSAF: Multimodal Split Attention Fusion"
PyTorch implementation of Two-stream CNN for 3D action recognition
Skeleton-based Action Recognition Papers and Small Notes and Top 2 Leaderboard for NTU-RGBD
Add a description, image, and links to the ntu-rgbd topic page so that developers can more easily learn about it.
To associate your repository with the ntu-rgbd topic, visit your repo's landing page and select "manage topics."