3d-convolutional-network

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

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

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

Inflated i3d network with inception backbone, weights transfered from tensorflow

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

Tutorial about 3D convolutional network

lock mechanism with face recognition and liveness detection

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

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"

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

MinkLoc3D: Point Cloud Based Large-Scale Place Recognition

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

MinkLoc++: Lidar and Monocular Image Fusion for Place Recognition

Implementation of Uniformer, a simple attention and 3d convolutional net that achieved SOTA in a number of video classification tasks, debuted in ICLR 2022

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

Alzheimer disease diagnosis by Deeply Supervised 3D Convolutional Network

MinkLoc3Dv2: Improving Point Cloud Based Place Recognition with Ranking-based Loss and Large Batch Training

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

Code for the paper "STConvS2S: Spatiotemporal Convolutional Sequence to Sequence Network for Weather Forecasting" (Neurocomputing, Elsevier)