• Stars
    star
    2
  • Language
    Python
  • Created over 3 years ago
  • Updated over 3 years ago

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

2D to 3D estimation from skeletal data

More Repositories

1

3D-Face-Recognition

72
star
2

Object-Detection-and-Counting-Faster-R-CNN

A vision-based tool for transport system flow analysis using Faster R-CNN. This system is able to detect different types of objects, e.g., cars, buses, pedestrians, and classify as well as count them in transport videos with a real-time speech.
Python
23
star
3

State-of-the-art-approaches-on-2D-3D-Human-Pose-Estimation

Given a single RGB image containing one or several persons, 2D/3D Pose Estimation is the task of producing a 2- or 3-dimentional key points that match the spatial position of the depicted person. This repository provides a list of state-of-the-art scientific papers on 2D/3D Human Pose Estimation from RGB images or videos.
16
star
4

Improved-ResNet-Action-Recognition-Skeletal-Data

This repository is an implementation of "Exploiting deep residual networks for human action recognition from skeletal data" by Huy-Hieu Pham, Louahdi Khoudour, Alain Crouzil, Pablo Zegers, and Sergio A. Velastin. You can train deep Residual Networks on skeletal data for action recognition tasks from scratch.
MATLAB
10
star
5

Learning-3D-Action-from-Skeletonst-with-ResNet

This repository is an implementation of "Learning and Recognizing Human Action from Skeleton Movement with Deep Residual Neural Networks (ICPRS-17)" by Huy-Hieu Pham, Louahdi Khoudour, Alain Crouzil, Pablo Zegers, and Sergio A. Velastin.
MATLAB
9
star
6

DenseNet-Action-Recognition-with-Enhanced-SPMFs

Python
5
star
7

learning-from-multiple-annotators

Learning from Multiple Expert Annotators for Enhancing Anomaly Detection in Medical Image Analysis
Python
4
star