Primal-Dual Mesh Convolutional Neural Networks

Primal-Dual Mesh Convolutional Neural Networks

DualConvMesh-Net: Joint Geodesic and Euclidean Convolutions on 3D MeshesПодробнее

DualConvMesh-Net: Joint Geodesic and Euclidean Convolutions on 3D Meshes

RIMeshGNN: A Rotation-Invariant Graph Neural Network for Mesh ClassificationПодробнее

RIMeshGNN: A Rotation-Invariant Graph Neural Network for Mesh Classification

Regularised Tomographic reconstruction using Primal Dual Hybrid Gradient algorithm with CIL 19.10Подробнее

Regularised Tomographic reconstruction using Primal Dual Hybrid Gradient algorithm with CIL 19.10

129 - Continuous Geodesic Convolutions for Learning on 3D ShapesПодробнее

129 - Continuous Geodesic Convolutions for Learning on 3D Shapes

Convolutional Mesh Autoencoder (CoMA) Latent vectors visualizationПодробнее

Convolutional Mesh Autoencoder (CoMA) Latent vectors visualization

MeshNet++: A Network with a FaceПодробнее

MeshNet++: A Network with a Face

Weakly-Supervised Mesh-Convolutional Hand Reconstruction in the WildПодробнее

Weakly-Supervised Mesh-Convolutional Hand Reconstruction in the Wild

Mesh Classification with Dilated Mesh ConvolutionsПодробнее

Mesh Classification with Dilated Mesh Convolutions

[PreReg@NeurIPS'20] (31) PCA RetargetingПодробнее

[PreReg@NeurIPS'20] (31) PCA Retargeting

What are Convolutional Neural Networks (CNNs)?Подробнее

What are Convolutional Neural Networks (CNNs)?

CNNs on Surfaces using Rotation-equivariant FeaturesПодробнее

CNNs on Surfaces using Rotation-equivariant Features

Build a 2D convolutional neural network, part 10: Connecting layersПодробнее

Build a 2D convolutional neural network, part 10: Connecting layers

Convolutional Mesh Autoencoder (CoMA) Inference testПодробнее

Convolutional Mesh Autoencoder (CoMA) Inference test

110 Zhang HengKai-Mesh R CNN++ for 3D Mesh Generation From Single to Multiple ViewsПодробнее

110 Zhang HengKai-Mesh R CNN++ for 3D Mesh Generation From Single to Multiple Views

CDS - Convolutional neural networks (images/audio)Подробнее

CDS - Convolutional neural networks (images/audio)

Automatic Polyp Segmentation using Fully Convolutional Neural Network - MediaEval 2020Подробнее

Automatic Polyp Segmentation using Fully Convolutional Neural Network - MediaEval 2020

SCA2020: Primal/Dual Descent Methods for Dynamics PresentationПодробнее

SCA2020: Primal/Dual Descent Methods for Dynamics Presentation

12- Convolutional layers and linear layers CRUSH input dimensionality: Step-by-step!Подробнее

12- Convolutional layers and linear layers CRUSH input dimensionality: Step-by-step!

MIT 6.S191: Convolutional Neural NetworksПодробнее

MIT 6.S191: Convolutional Neural Networks

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