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

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 …

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 …

Abstract The Dynamic Saliency Prediction (DSP) task simulates the human selective
attention mechanism to perceive a dynamic scene, which is significant and imperative in …

As collaborative research between engineering and fashion, the purpose of this study was to
investigate if saliency models can be applied for predicting consumers' visual attention to …

Non-photorealistic videos are in demand with the wave of the metaverse, but lack of
sufficient research studies. This work aims to take a step forward to understand how humans …

A movie summarization model can automatically edit a condensed version of a movie by
selecting keyframes. Some previous works have proposed some movie summarizers based …

This paper proposes an end-to-end video saliency prediction network model, termed TM2SP-
Net (Transformer-based Multi-level Spatiotemporal Feature Pyramid Network). Leveraging …