Salient object detection models mimic the behavior of human beings and capture the most
salient region/object from the images or scenes, this field contains many important …

Sign languages are visual languages using manual articulations and non-manual elements
to convey information. For sign language recognition and translation, the majority of existing …

Appearance and motion are two important sources of information in video object
segmentation (VOS). Previous methods mainly focus on using simplex solutions, lowering …

This paper reviews the Challenge on Video Saliency Prediction at AIM 2024. The goal of the
participants was to develop a method for predicting accurate saliency maps for the provided …

The trade-off between feature representation power and spatial localization accuracy is
crucial for the dense classification/semantic segmentation of remote sensing images (RSIs) …

In this paper, we present a novel end-to-end learning neural network, ie, MATNet, for zero-
shot video object segmentation (ZVOS). Motivated by the human visual attention behavior …

Visual saliency modeling for images and videos is treated as two independent tasks in
recent computer vision literature. While image saliency modeling is a well-studied problem …

Video saliency prediction (VSP) aims to imitate eye fixations of humans. However, the
potential of this task has not been fully exploited since existing VSP methods only focus on …

In virtual reality (VR), correct and precise estimations of user's visual fixations and head
movements can enhance the quality of experience by allocating more computation …

Significant advances in video compression systems have been made in the past several
decades to satisfy the near-exponential growth of Internet-scale video traffic. From the …