huyhieupham
Researcher in Computer Vision, with a focus on Medical Imaging and Smart Health Applications.
VinUniversityHanoi, Vietnam
Pinned Repositories
3D-Face-Recognition
3D-PoseEstimation-RGBD
2D to 3D estimation from skeletal data
DenseNet-Action-Recognition-with-Enhanced-SPMFs
huyhieupham.github.io
This is an academic website of Huy Hieu Pham
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.
Inception-ResNet-Action-Recognition-with-SPMFs
This repository will include the codes and pre-trained model for ICIP 2018 paper: "Skeleton to Color Map: A Novel Representation for 3D Action Recognition with Inception Residual Networks"
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
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.
huyhieupham's Repositories
huyhieupham/3D-Face-Recognition
huyhieupham/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.
huyhieupham/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.
huyhieupham/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.
huyhieupham/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.
huyhieupham/DenseNet-Action-Recognition-with-Enhanced-SPMFs
huyhieupham/learning-from-multiple-annotators
Learning from Multiple Expert Annotators for Enhancing Anomaly Detection in Medical Image Analysis
huyhieupham/3D-PoseEstimation-RGBD
2D to 3D estimation from skeletal data
huyhieupham/huyhieupham.github.io
This is an academic website of Huy Hieu Pham
huyhieupham/Inception-ResNet-Action-Recognition-with-SPMFs
This repository will include the codes and pre-trained model for ICIP 2018 paper: "Skeleton to Color Map: A Novel Representation for 3D Action Recognition with Inception Residual Networks"
huyhieupham/Lung-nodule-segmentation-and-cancer-prediction-based-on-CT-Image
Using neural network to implement lung nodule segmentation and cancer prediction based on CT Image
huyhieupham/MIDL2021-CT-Classification
A Novel Method for Classification of Multi-phase Abdominal CT Scans Using Deep Learning and Random Sampling