There are 10 repositories under 3d-convolutional-network topic.
Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors
:unlock: 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
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.
Abnormal Human Behaviors Detection/ Road Accident Detection From Surveillance Videos/ Real-World Anomaly Detection in Surveillance Videos/ C3D Feature Extraction
DensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing (ICCV 2019)
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
MinkLoc++: Lidar and Monocular Image Fusion for Place Recognition
Alzheimer disease diagnosis by Deeply Supervised 3D Convolutional Network
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)
MinkLoc3Dv2: Improving Point Cloud Based Place Recognition with Ranking-based Loss and Large Batch Training
[ICIP 2019] Implementation of Saliency Tubes for 3D Convolutions in Pytoch and Keras to localise the focus spatio-temporal regions of 3D CNNs.
Recognizing human activities using Deep Learning
A repository with a basic layer of 3D deformable receptive field for 3D VoxCNN and 3D VoxResNet
Bayesian Deep Learning and Deep Reinforcement Learning for Object Shape Error Response and Correction of Manufacturing Systems
EgoNN: Egocentric Neural Network for Point Cloud Based 6DoF Relocalization at the City Scale
[ICPR 2022] 3DConvCaps: 3DUnet with Convolutional Capsule Encoder for Medical Image Segmentation
This is the UNOFFICIAL implementation of the ICCV 2019 paper 'Exploiting Temporal Consistency for Real-Time Video Depth Estimation'.
[ECCV 2022] This repository includes the official implementation our paper "In Defense of Image Pre-Training for Spatiotemporal Recognition".
This repo includes the dataset/code of 3D Convolutional Neural Network for material property prediction
End to End Steering Angle Prediction for Self-Driving Cars
Deep Negative Volume Segmentation - automated 3D CT segmentation of body joints for dentistry
A Pytorch implementation of The Visual Centrifuge: Model-Free Layered Video Representations.
Repository for the implementation of "FastV2C-HandNet: Fast Voxel to Coordinate Hand Pose Estimation with 3D Convolutional Neural Networks"