Human Action Recognition using skeleton and infrared data. State-of-the-art results on NTU RBG+D. Implemented with PyTorch.
-
Updated
Dec 8, 2022 - Jupyter Notebook
Human Action Recognition using skeleton and infrared data. State-of-the-art results on NTU RBG+D. Implemented with PyTorch.
Human activity recognition using DNN fusion model.
A project to perform people identification at a distance using face and gait data with deep learning
Extended and unscented kalman filters for estimating vehicle positiong through fusion of lidar and radar measurement
Image Captioning using Neural Networks
Using modified autoencoders to color black and white photos
Add a description, image, and links to the fusion-model topic page so that developers can more easily learn about it.
To associate your repository with the fusion-model topic, visit your repo's landing page and select "manage topics."