🔓 Lip Reading - Cross Audio-Visual Recognition using 3D Architectures

Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors

Inflated i3d network with inception backbone, weights transfered from tensorflow

A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation

Relation-Shape Convolutional Neural Network for Point Cloud Analysis (CVPR 2019 Oral & Best paper finalist)

Tutorial about 3D convolutional network

This repository contains the code of LiviaNET, a 3D fully convolutional neural network that was employed in our work: "3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study"

lock mechanism with face recognition and liveness detection

This repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.

DensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing (ICCV 2019)

TextureNet: Consistent Local Parametrizations for Learning from High-Resolution Signals on Meshes

Alzheimer disease diagnosis by Deeply Supervised 3D Convolutional Network

A PyTorch-based library for working with 3D and 2D convolutional neural networks, with focus on semantic segmentation of volumetric biomedical image data

Abnormal Human Behaviors Detection/ Road Accident Detection From Surveillance Videos/ Real-World Anomaly Detection in Surveillance Videos/ C3D Feature Extraction

Implementation of Saliency Tubes for 3D Convolutions in Pytoch and Keras to localise the focus spatio-temporal regions of 3D CNNs.

Pytorch version of the HyperDenseNet deep neural network for multi-modal image segmentation

Recognizing human activities using Deep Learning

STConvS2S: Spatiotemporal Convolutional Sequence to Sequence Network for weather forecasting

3D Point Cloud Datasets and Deep Learning Models for Object Error Estimation: Application for Root Cause Analysis of Manufacturing Systems

End to End Steering Angle Prediction for Self-Driving Cars

Temporal 3D ConvNet

A highly configurable toolkit for training 3D/2D CNNs and general Neural Networks, based on Theano

Implementation of grouped 3D convolutions (with backward) in Tensor Comprehensions.

Repository for the implementation of "FastV2C-HandNet: Fast Voxel to Coordinate Hand Pose Estimation with 3D Convolutional Neural Networks"

This is the UNOFFICIAL implementation of the ICCV 2019 paper 'Exploiting Temporal Consistency for Real-Time Video Depth Estimation'.

In this project, a deep learning system is created to classify MRIs (volumetric) data from BRATS2015 to High/Low classes. The system comprises of data processing and 3d convolutional layers, 3d maxpool layers and functions to modularize similar group of layers to simplify the code. I used cross-validation to train and evaluate on 6 train/test sets with appropriate ratios of High/Low data.

An Implementation of 3D LeNet Model with PyTorch

Deep Negative Volume Segmentation

A repository with basic layer of 3D deformable receptive fiesld for 3D VoxCNN and 3D VoxResNet