Sep 11, 2018 · In this paper, we propose a novel convolution block, Parallel Separable 3D Convolution (PmSCn), which applies m parallel streams of n 2D and one 1D convolution ...

This paper mathematically justifies the need of parallel streams (Pm) to replace a single 3D convolution layer through tensor decomposition and empirically ...

General Convolution Kernel. Given a general 4D tensor A, we show how to decompose it into the sum of separable tensors. First, we use high-order singular ...

Parallel Separable 3D Convolution for Video and Volumetric Data Understanding. This code is in the process of being cleaned-up. It requires modification to ...

Sep 11, 2018 · In this paper, we propose a novel convolution block, Parallel Separable 3D Convolution (PmSCn), which applies m parallel streams of n 2D and one ...

Parallel separable 3D convolution for video and volumetric data understanding. F Gonda, D Wei, T Parag, H Pfister. arXiv preprint arXiv:1809.04096, 2018. 25 ...

The fabulous Felix Gonda just presented our work on 'Parallel Separable 3D Convolution for Video and Volumetric Data Understanding' at BMVC!

For video and volumetric data understanding, 3D convolution layers are widely used in deep learning, however, at the cost of increasing computation and training ...

<h1 class="project-description">Parallel Separable 3D Convolution for Video and Volumetric Data Understanding</h1>. <h2 class="project-tagline">Felix Gonda ...

... analysis and examining brain mechanisms to guide computer video understanding. - ... Parallel Separable 3D Convolution for Video and Volumetric Data Understanding.