Humans can easily perceive the direction of sound sources in a visual scene, termed sound
source localization. Recent studies on learning-based sound source localization have …

Large-scale pre-trained image-text models demonstrate remarkable versatility across
diverse tasks, benefiting from their robust representational capabilities and effective …

Weakly-supervised audio-visual video parsing (WS-AVVP) aims to localize the temporal
extents of audio, visual and audio-visual event instances as well as identify the …

Self-supervised sound source localization in unconstrained visual scenes is an important
task of audio-visual learning. In this paper, we propose a visual reasoning module to …

Self-supervised sound source localization is usually challenged by the modality
inconsistency. In recent studies, contrastive learning based strategies have shown …

We focus on the weakly-supervised audio-visual video parsing task (AVVP), which aims to
identify and locate all the events in audio/visual modalities. Previous works only concentrate …

The joint analysis of audio and video is a powerful tool that can be applied to various
contexts, including action, speech, and sound recognition, audio-visual video parsing …

Self-supervised sound source localization is usually challenged by the unexpected large
input and incorrect direction of normalization in current solutions. A promising way for this …

The objective of the sound source localization task is to enable machines to detect the
location of sound-making objects within a visual scene. While the audio modality provides …

The goal of the multi-sound source localization task is to localize sound sources from the
mixture individually. While recent multi-sound source localization methods have shown …