Volterra-based convolution filter implementation in Torch

Download the layer’s code from here: VolterraConvolution.zip

The code is based on the following publication:

G. Zoumpourlis, A. Doumanoglou, N. Vretos, P. Daras, “Non-linear Convolution Filters for CNN-based Learning”, IEEE International Conference on Computer Vision (ICCV 2017), Venice, Italy, October 22-29 2017

Visual Computing Lab

The focus of the Visual Computing Laboratory is to develop new algorithms and architectures for applications in the areas of 3D processing, image/video processing, computer vision, pattern recognition, bioinformatics and medical imaging.

Contact Information

Dr. Petros Daras, Principal Researcher Grade Α
1st km Thermi – Panorama, 57001, Thessaloniki, Greece
P.O.Box: 60361
Tel.: +30 2310 464160 (ext. 156)
Fax: +30 2310 464164
Email: daras@iti.gr