Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors
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Updated
Mar 5, 2024 - Python
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
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"
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 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)
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