This paper addresses the problem of inferring unseen cross-modal image-to-image
translations between multiple modalities. We assume that only some of the pairwise …

Abstract Machine learning is a subset of deep learning. Deep learning techniques have
become increasingly popular in recent years for a variety of applications. Many techniques …

Color in any image playing a vital role for better understanding and real image visualization.
In past when there was no concept of colored images each black and white image need to …

Color modelling and extraction is an important topic in fashion, art, and design.
Recommender systems, color-based retrieval, decorating, and fashion design can benefit …

Online shopping has increased dramatically in recent years. The product color name is used
as a new strategy and marketing tool by increasing competition in online businesses and …

Antes de comenzar, cabe destacar que la naturaleza de este trabajo se puede encuadrar en
Educación y en Psicología (además de en Filosofía, Metafísica y Filosofía de la Ciencia …

Image clustering methods have rapidly improved their ability to discover object categories.
However, unsupervised clustering methods struggle on other image attributes, eg age or …

In Computer Vision, the association of names to colors is one of the fundamental problems
in the field of image understanding. There are numerous computational applications (eg …

For computational methods aiming to reproduce colour names that are meaningful to
speakers of different languages, the mapping between perceptual and linguistic aspects of …

In an early study, the so-called “relevant colour” in a painting was heuristically introduced as
a term to describe the number of colours that would stand out for an observer when just …