huyhieupham/DenseNet-Action-Recognition-with-Enhanced-SPMFs

Stars
5
Rank 2,861,937 (Top 57 %)
Language
Python
Created over 6 years ago
Updated over 5 years ago

huyhieupham/DenseNet-Action-Recognition-with-Enhanced-SPMFs

huyhieupham

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

3D-Face-Recognition

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.

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.

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.

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.

learning-from-multiple-annotators

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

3D-PoseEstimation-RGBD

2D to 3D estimation from skeletal data