In this paper, we propose a novel edge preserving and multi-scale contextual neural
network for salient object detection. The proposed framework is aiming to address two limits …

This paper presents a novel fixation prediction and saliency modeling framework based on
inter-image similarities and ensemble of Extreme Learning Machines (ELM). The proposed …

Advances in computer graphics enable us to create digital images of astonishing complexity
and realism. However, processing resources are still a limiting factor. Hence, many costly …

In this paper, a large-scale underwater image database for underwater salient object
detection or saliency detection is presented in detail. This database is called the OUC …

The problem of removing illuminant variations to preserve the colours of objects (colour
constancy) has already been solved by the human brain using mechanisms that rely largely …

How people look at visual information reveals fundamental information about themselves,
their interests and their state of mind. While previous visual attention models output static 2D …

With the development of Virtual Reality (VR) technology, single-viewpoint videos have been
replaced by the multi-sviewpoint panoramic video owing to the fact that the latter brings …

Various saliency models have been developed over the years. The performance of saliency
models is typically evaluated based on databases of experimentally recorded adult eye …

Human faces are almost always the focus of visual attention because of the rich semantic
information therein. While some visual attention models incorporating face cues indeed …

Ship detection by Unmanned Airborne Vehicles (UAVs) and satellites plays an important
role in a spectrum of related military and civil applications. To improve the detection …