There are 2 repositories under 3dcnn topic.
Pytorch model zoo for human, include all kinds of 2D CNN, 3D CNN, and CRNN
PyTorch implementation for 3D CNN models for medical image data (1 channel gray scale images).
A PyTorch implementation of CNN+Vision Transformer for hyperspectral image classification
Temporal-spatial Feature Learning of DCE-MR Images via 3DCNN
C3D-LSTM implementation in PyTorch [WACV 2019]
The project uses state of the art deep learning on collected data for automatic analysis of emotions.
Keras Implementation of 3d Convolutional Neural Network
Fight Detection From Surveillance Cameras by fine-tuning a PyTorch Pretrained Model
This is a final project for my 2019 Winter course "Pattern Recognition".
Task 1 Research and Development Project : Development of a new rPPG method (3DCNN) to be integrated into the pyVHR framework
Implementation of brand new video augmentation strategy for video action recognition with 3D CNN
Official repository for "Depth estimation from 4D light field videos", IWAIT 2021
3D CNN-LSTM model for hand gesture recognition
lung nodule classifier for 9 attribute
Fader Networks for domain adaptation on fMRI: ABIDE-II study
communication application to make Complete conversation with deaf people
Arabic Sign Language Recognizer and Translator - ASLR/ASLT
An attempt to classify Voxel-based data using 3D Convolutions.
Approximating a 3DCNN with a 2DCNN
Approaches for Human Activity Recognition
It can recognize both static ISL hand gesture and dynamic ISL hand gesture in video stream.
This repository has the implementation of a self-driving car's steering wheel component i.e. predicting the angle of rotation of steering wheel with respect to front board video as sensory input, using various deep learning algorithms.
ACDFSL for Hyperspectral Image Classification
A complete solution to utilise both spatial and spectral information in the classification process is provided by the integration of deep CNNs with PCA for feature extraction and dimensionality reduction.
Spring 2022 - Classifying Wound Healing Stages of a Series of Wound Images: IEEE-EMBS International Conference on Biomedical and Health Informatics (IEEE BHI-BSN 2022) in Ioannina, Greece.
Deep learning framework to predict functional effects of missense variants in human
This project investigates random forest, 2D CNN, and 3D CNN, and an ensemble classifier combines the three models for the social touch gesture recognition on the CoST dataset.
Spatiotemporal Depth Estimation using Monocular Cameras using Kitty Dataset.