With the development of social media and the ubiquity of the Internet, recent years have
witnessed the rapid development of online video advertising among publishers and …

RGB image and depth map (RGB-D)-based salient object detection (SOD) has been well-
studied in recent years, especially using deep neural networks. An RGB image provides rich …

Encoding-decoding convolutional neural network structures have shown powerful
performance in contour detection tasks, however, the design of models in the past seems to …

It has been well established that scene context plays an important role in directing visual
attention. A robust representation of scene layout is expected to facilitate further analysis of …

Edge detection is one of the fundamental components of advanced computer vision tasks,
and it is essential to preserve computational resources while ensuring a certain level of …

ABSTRACT Visual paradigms of Brain-Computer Interfaces (BCI) for motor imagery (MI)
tasks are the basis for communication through (electroencephalogram) EEG signals. During …

Visual privacy measurement is a computable evaluation method to quantitatively describe
privacy-sensitive content in images or videos. The visual cues and their quantitative …

Recently CNN-based RGB-D salient object detection (SOD) has obtained significant
improvement on detection accuracy. However, existing models often fail to perform well in …

Image representations based on deep learning models can provide exciting performance for
image retrieval, but only using deep learning models cannot exploit global topological …

Salient Object Detection (SOD) can mimic the human vision system by using algorithms that
simulate the way how the eye detects and processes visual information. It focuses mainly on …