Human gaze provides valuable information on human focus and intentions, making it a
crucial area of research. Recently, deep learning has revolutionized appearance-based …

Deep learning approaches have recently raised the bar in many fields, from Natural
Language Processing to Computer Vision, by leveraging large amounts of data. However …

As an essential problem in computer vision, salient object detection (SOD) has attracted an
increasing amount of research attention over the years. Recent advances in SOD are …

Computer vision builds a connection between image processing and industrials, bringing
modern perception to the automated manufacture of magnetic tiles. In this article, we …

We propose an end-to-end-trainable attention module for convolutional neural network
(CNN) architectures built for image classification. The module takes as input the 2D feature …

In this paper, we aim to predict human eye fixation with view-free scenes based on an end-to-
end deep learning architecture. Although convolutional neural networks (CNNs) have made …

Data-driven saliency has recently gained a lot of attention thanks to the use of convolutional
neural networks for predicting gaze fixations. In this paper, we go beyond standard …

Nowadays, 360° video/image has been increasingly popular and drawn great attention. The
spherical viewing range of 360° video/image accounts for huge data, which pose the …

Low-level saliency cues or priors do not produce good enough saliency detection results
especially when the salient object presents in a low-contrast background with confusing …

We study the problem of photo cropping, which aims to find a cropping window of an input
image to preserve as much as possible its important parts while being aesthetically …