PyTorch implementation of Two-stream CNN for 3D action recognition
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Updated
Jul 31, 2020 - Python
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
Offical implementation of paper "MSAF: Multimodal Split Attention Fusion"
Unofficial Tensorflow implementation of the AAAI'18 paper "Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition"
Human Action Recognition using skeleton and infrared data. State-of-the-art results on NTU RBG D. Implemented with PyTorch.
Course Project for CS763 Computer Vision IIT Bombay
Official pytorch implementation for PSUMNet for efficient skeleton action recognition
experiments on classifying actions using poses
Action-Localization, Atomic Visual Actions (AVA) Dataset
NTU RGB D Dataset Action Recognition with GNNs and CNNs
Time series Forecasting on the NTU_RGB D skeleton dataset using AutoFormer and FEDFormer
Unofficial Tensorflow implementation of the CVPR'19 paper "Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition"
Skeletal join forecasting
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