This paper presents a salient object detection method that integrates both top-down and
bottom-up saliency inference in an iterative and cooperative manner. The top-down process …

Feature detection, description and matching are essential components of various computer
vision applications, thus they have received a considerable attention in the last decades …

Unmanned aerial vehicles are an essential component in the realization of Industry 4.0. With
drones helping to improve industrial safety and efficiency in utilities, construction, and …

A global attention network (GANet) with multiscale feature fusion is proposed to detect
infrared small target by introducing a transformer attention module and an adaptive …

Most of the deep convolutional neural networks (CNNs) based RGBD saliency models either
regard the RGB and depth cues as the same status or trust the depth information …

Inspired by the characteristics of the human visual system, a novel method is proposed for
detecting the visually salient regions on 3D point clouds. First, the local distinctness of each …

Image retargeting is the task of making images capable of being displayed on screens with
different sizes. This work should be done so that high-level visual information and low-level …

For the purpose of enhancing the imperceptibility and the robustness of watermark, a new
image watermarking method based on visual saliency and contourlet transform is proposed …

This paper presents a visual saliency detection approach, which is a hybrid of local feature-
based saliency and global feature-based saliency (simply called local saliency and global …

Watermarking is an effective solution for copyright protection and forensics tracking via
hiding information into the image signal. Recently, spatial-embedding watermarking …