Recently, with the advent of deep convolutional neural networks (DCNN), the improvements
in visual saliency prediction research are impressive. One possible direction to approach the …

Panoramic videos are becoming more and more easily obtained for common users.
Although these videos have 360° field of view, they are usually displayed with perspective …

The prediction of human eye fixations has been recently gaining a lot of attention thanks to
the improvements shown by deep architectures. In our work, we go beyond classical feed …

Visual saliency models mimic the human visual system to gaze towards fixed pixel positions
and capture the most conspicuous regions in the scene. They have proved their efficacy in …

The distinctiveness of image regions is widely used as the cue of saliency. Generally, the
distinctiveness is computed according to the absolute difference of features. However …

Hyperspectral anomaly detection (HAD) is a branch of target detection which tries to locate
pixels that are spectrally or spatially different from their background. In this paper, a visual …

In this paper we present a technique for saliency estimation in 360 images. Existing
approaches exploit high/low-level image features, head movement, and eye-gazes of …

Saliency prediction is an important way to understand human's behavior and has a wide
range of applications. Although lots of algorithms have been designed to predict saliency for …

Predicting regions of interest, otherwise called salient regions tend to top out with the rise of
deep learning techniques. Although convolutional neural networks have evaded the domain …

In this paper, a saliency estimation technique for omni-directional images is presented.
Traditional approaches for estimating 360° image saliency rely on the exploitation of low …