PyTorch implementation for 3D CNN models for medical image data (1 channel gray scale images).

Pytorch model zoo for human, include all kinds of 2D CNN, 3D CNN, and CRNN

A PyTorch implementation of CNN+Vision Transformer for hyperspectral image classification

Temporal-spatial Feature Learning of DCE-MR Images via 3DCNN

Fight Detection From Surveillance Cameras by fine-tuning a PyTorch Pretrained Model

C3D-LSTM implementation in PyTorch [WACV 2019]

The project uses state of the art deep learning on collected data for automatic analysis of emotions.

A personal pytorch-based implement of HybridSN by Jupyter Notebook

Keras Implementation of 3d Convolutional Neural Network

Implementation of brand new video augmentation strategy for video action recognition with 3D CNN

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

Official repository for "Depth estimation from 4D light field videos", IWAIT 2021

Training 3DCNN neural net models optimized for autonomous driving on Raspberry Pi using the Donkeycar library for 1/16 scale vehicle

3D CNN-LSTM model for hand gesture recognition

Fader Networks for domain adaptation on fMRI: ABIDE-II study

communication application to make Complete conversation with deaf people

lung nodule classifier for 9 attribute

Arabic Sign Language Recognizer and Translator - ASLR/ASLT

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.