3D Action Recognition

29 papers with code • 2 benchmarks • 13 datasets

Image: Rahmani et al

Most implemented papers

Grad-CAM++: Improved Visual Explanations for Deep Convolutional Networks

adityac94/Grad_CAM_plus_plus 30 Oct 2017

Over the last decade, Convolutional Neural Network (CNN) models have been highly successful in solving complex vision problems.

Unsupervised Learning of Object Keypoints for Perception and Control

deepmind/deepmind-research NeurIPS 2019

In this work we aim to learn object representations that are useful for control and reinforcement learning (RL).

Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition

kenziyuliu/ms-g3d CVPR 2020

Spatial-temporal graphs have been widely used by skeleton-based action recognition algorithms to model human action dynamics.

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

benedekrozemberczki/pytorch_geometric_temporal CVPR 2019

In addition, the second-order information (the lengths and directions of bones) of the skeleton data, which is naturally more informative and discriminative for action recognition, is rarely investigated in existing methods.

Reconstructing undersampled photoacoustic microscopy images using deep learning

axd465/PAM_Deep_Learning_Undersampling_Publication 30 May 2020

One primary technical challenge in photoacoustic microscopy (PAM) is the necessary compromise between spatial resolution and imaging speed.

NTU RGB+D: A Large Scale Dataset for 3D Human Activity Analysis

shahroudy/NTURGB-D CVPR 2016

Recent approaches in depth-based human activity analysis achieved outstanding performance and proved the effectiveness of 3D representation for classification of action classes.

Interpretable 3D Human Action Analysis with Temporal Convolutional Networks

TaeSoo-Kim/TCNActionRecognition 14 Apr 2017

In this work, we propose to use a new class of models known as Temporal Convolutional Neural Networks (TCN) for 3D human action recognition.

Investigation of Different Skeleton Features for CNN-based 3D Action Recognition

dzwallkilled/IEforAR 2 May 2017

The proposed method achieved state-of-the-art performance on NTU RGB+D dataset for 3D human action analysis.

Recognizing Involuntary Actions from 3D Skeleton Data Using Body States

bghojogh/Fisherposes 21 Aug 2017

This method introduces the definition of body states and then every action is modeled as a sequence of these states.

Fisherposes for Human Action Recognition Using Kinect Sensor Data

bghojogh/Fisherposes 15 Feb 2018

The proposed regularized Mahalanobis distance metric is used in order to recognize both the involuntary and highly made-up actions at the same time.