Final Project of Computer Vision course in the spring semester at NYCU.
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Updated
Sep 17, 2021 - Jupyter Notebook
Final Project of Computer Vision course in the spring semester at NYCU.
Human pose estimation using hour-glass architecture and Tensorflow 2.0
Real-time single person pose estimation.
Developed a system which aims to evaluate human poses from a given set of 2D RGB images
A PyTorch toolkit for 2D Human Pose Estimation.
Pytorch implementation of the paper "Toward fast and accurate human pose estimation via soft-gated skip connections"
[ISBI 2024] HCA-Net: Hierarchical Context Attention Network for Intervertebral Disc Semantic Labeling
tf.keras implementation of "Toward fast and accurate human pose estimation via soft-gated skip connections" by Bulat et al. and "Stacked Hourglass Networks for Human Pose Estimation" by Newell et al.
This repository about the project of Computer Vision course at the Sapienza University of Rome: Single-Person 2D Joints Estimation using Convolutional Neural Network, Stacked Hourglass Network, etc.
Visual Traffic Surveillance and Analytics System
Hourglass network for topology extraction of retina images
Estimate surface normals from a single image; 3-stack-hourglass Architecture using Tensorflow; Reduce the Mean Angle Error down to 0.4397164234
Stacked Hourglass Network (shnet) for human pose estimation implemented in PyTorch
Pose estimation implemented in tensorflow 2.
ROS2 Humble Python node and model training tools for detecting and estimating the 6DOF pose of a fuel cap
3D HourGlass Networks for Human Pose Estimation Through Videos
fashionAI clothes keypoint detection
A tool for precisely placing 3D landmarks on 3D facial scans based on the paper "Multi-view Consensus CNN for 3D Facial Landmark Placement"
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