With only video-level event labels, this paper targets at the task of weakly-supervised audio-
visual event perception (WS-AVEP), which aims to temporally localize and categorize events …

Abstract Weakly-supervised Temporal Action Localization (WTAL) attempts to localize the
actions in untrimmed videos using only video-level supervision. Most recent works approach …

With the explosive growth of videos, weakly-supervised temporal action localization (WS-
TAL) task has become a promising research direction in pattern analysis and machine …

The task of weakly supervised temporal sentence grounding aims at finding the
corresponding temporal moments of a language description in the video, given video …

Research on continual learning has recently led to a variety of work in unimodal community,
however little attention has been paid to multimodal tasks like visual question answering …

Reliable uncertainty estimation has become a crucial requirement for the industrial
deployment of deep learning algorithms, particularly in high-risk applications such as …

Human action anticipation aims at predicting what people will do in the future based on past
observations. In this paper we introduce Uncertainty-aware Action Decoupling Transformer …

Weakly-supervised temporal action localization (WTAL) learns to detect and classify action
instances with only category labels. Most methods widely adopt the off-the-shelf …

Weakly-supervised temporal action localization (WTAL) is a practical yet challenging task.
Due to large-scale datasets, most existing methods use a network pretrained in other …

The task of weakly supervised temporal action localization targets at generating temporal
boundaries for actions of interest, meanwhile the action category should also be classified …