Sight and hearing are two senses that play a vital role in human communication and scene
understanding. To mimic human perception ability, audio-visual learning, aimed at …

Video saliency detection (VSD) aims at fast locating the most attractive
objects/things/patterns in a given video clip. Existing VSD-related works have mainly relied …

We propose the ViNet architecture for audio-visual saliency prediction. ViNet is a fully
convolutional encoder-decoder architecture. The encoder uses visual features from a …

We introduce STAViS, a spatio-temporal audiovisual saliency network that combines spatio-
temporal visual and auditory information in order to efficiently address the problem of …

Salient object detection (SOD) is viewed as a pixel-wise saliency modeling task by
traditional deep learning-based methods. A limitation of current SOD models is insufficient …

In recent years, several authors have reported that spectral saliency detection methods
provide state-of-the-art performance in predicting human gaze in images (see, eg,[1–3]). We …

Egocentric gaze anticipation serves as a key building block for the emerging capability of
Augmented Reality. Notably, gaze behavior is driven by both visual cues and audio signals …

A method implemented in a computer system for controlling the delivery of data and
audio/video content. The method delivers primary content to the subscriber device for …

Audio information has not been considered an important factor in visual attention models
regardless of many psychological studies that have shown the importance of audio …

The Transformer revolutionized Natural Language Processing and Computer Vision by
effectively capturing contextual relationships in sequential data through its attention …