Color is a powerful communication component, not only as part of the message meaning but
also as a way of discriminating contents therein. However, 5% of the world's population …

Color palette is a critical component of art, design, and lots of applications, providing the
basis for organizing and utilizing colors to achieve specific objectives. However, generating …

Plant segmentation is a crucial task in computer vision applications for identification/
classification and quantification of plant phenotypic features. Robust segmentation of plants …

The paper is concerned with the problem of Image Caption Generation. The purpose of this
paper is to create a deep learning model to generate captions for a given image by …

Because the properties of objects are largely determined by their geometric features, shape
analysis and classification are essential to almost every applied scientific and technological …

Deafness does not restrict its negative effect on the person's hearing, but rather on all aspect
of their daily life. Moreover, hearing people aggravated the issue through their reluctance to …

We present MR-Net, a general architecture for multiresolution sinusoidal neural networks,
and a framework for imaging applications based on this architecture. We extend sinusoidal …

Keypoint detection and matching is of fundamental importance for many applications in
computer and robot vision. The association of points across different views is problematic …

Medical endoscopy is used in a wide variety of diagnostic and surgical procedures. These
procedures are renowned for the difficulty of orienting the camera and instruments inside the …

Abstract Machine learning has been widely used in image analysis and processing for the
purpose of letting the computer recognize specifics aspects like color, shape, textures, size …