Deep Relighting Networks for Image Light Source Manipulation

In this work, we propose a novel multi-task framework, to learn satellite image pansharpening and segmentation jointly.. Our framework is based on the encoder-decoder

A REVIEW OF METHODS FOR COMBINING NON-LOCAL APPROACHES AND DEEP LEARNING The integration of the non-local processing ideas (i.e., use of image parts extracted within an extended

Abstract: In this paper, we propose a novel filtering method based on deep attention networks for the quality enhancement of light field (LF) images captured by plenoptic cameras

The goal of this paper is to propose a novel learning strategy able to automatically optimize online the shape of a given class of image moments as a function of the observed scene

AtlasNet: Multi-atlas Non-linear Deep Networks for Medical Image SegmentationM. Maria Vakalopoulou, Guillaume Chassagnon, Norbert Bus, Rafael Marini Silva, Evangelia