Visual attention prediction (VAP) is a significant and imperative issue in the field of computer vision. Most of the existing VAP methods are based on deep learning. However, they do not fully take ...

Explores the various types of lines found in everyday life, such as curved, straight, zigzag, and circular lines. It encourages viewers to observe and create lines using different materials and ...

We present a visual navigation approach that uses context information to navigate an agent to find and reach a target object. To learn context from the objects present in the scene, we transform ...