This is a practical, easy to download implemenation of 1D, 2D, and 3D sinusodial positional encodings for PyTorch and Tensorflow. This also works on tensors of the form (batchsize, ch, x), etc. See ...

This function assumes an input tensor in shape ... then the output is 3D coordinates in shape (batch_size, 16, 3). This case is usually seen when you has 16 3D heat-voxels and try to find the ...

Abstract: Eshelby tensors serve as the basis of micromechanics. It is a key component to construct the inclusion problems of composite materials. To deal with ellipsoidal inclusions problems merged ...

Use precise geolocation data and actively scan device characteristics for identification. This is done to store and access information on a device and to provide personalised ads and content, ad and ...

Abstract: We propose a novel approach for face verification by encoding 2D and 3D face images as a high order tensor. To perform tensor dimensionality reduction for both the unsupervised and ...

and the traditional 2D image encryption algorithms are unsuitable for 3D models. Therefore, based on 1D Sine-Map-Coupling-Logistic-Map (1D-SMCLM), a 3D model encryption algorithm is designed in this ...