Abstract Audio-Visual Video Parsing (AVVP) task aims to detect and temporally locate
events within audio and visual modalities. Multiple events can overlap in the timeline …

As a cost-effective alternative to standard multi-label learning, the multi-label image
recognition with partial positive labels (MLR-PPL) task attracts increasing attention, in which …

In this paper we address the weakly-supervised Audio-Visual Video Parsing (AVVP)
problem which aims at labeling events in a video as audible visible or both and temporally …

Perceiving temporal events and discriminating their modality types in audible videos, which
is also called audio–visual video parsing (AVVP), is becoming a research hotspot in …

Videos capture auditory and visual signals, each conveying distinct events. Simultaneously
analyzing these multimodal signals enhances human comprehension of the video content …

The Audio Visual Question Answering (AVQA) task aims to answer questions related to
various visual objects, sounds, and their interactions in videos. Such naturally multimodal …

Audio-Visual Question Answering (AVQA) is a challenging task that involves answering
questions based on both auditory and visual information in videos. A significant challenge is …

Video localization tasks aim to temporally locate specific instances in videos, including
temporal action localization (TAL), sound event detection (SED) and audio-visual event …

Audio-visual video parsing (AVVP) aims to recognize audio and visual event labels with
precise temporal boundaries, which is quite challenging since audio or visual modality might …