Abstract: This paper presents a 2D vibration ... data and image data captured by the cameras and creating the 3D representation of the surrounding space. This 3D representation of the space and its ...

Abstract: A new approach for 3D ... quality images by using a few transmission events. However, it assumes that a transmitter produces equal energy over the imaging area. This leads to a deterioration ...

The Uni3D framework employs a 2D-initialized ViT framework, pretrained end-to-end, to align image ... and 3D vision across a wide array of modalities. The Uni3D framework draws inspiration, and learns ...

Convolutional Neural Networks (CNN) have been regarded as a powerful class of models for image ... a very deep 3D CNN from scratch results in expensive computational cost and memory demand. A valid ...