Understanding human behavior and activity facilitates advancement of numerous real-world
applications, and is critical for video analysis. Despite the progress of action recognition …

Temporal action proposal generation is an challenging and promising task which aims to
locate temporal regions in real-world videos where action or event may occur. Current …

Effectively tackling the problem of temporal action localization (TAL) necessitates a visual
representation that jointly pursues two confounding goals, ie, fine-grained discrimination for …

Many believe that the successes of deep learning on image understanding problems can be
replicated in the realm of video understanding. However, due to the scale and temporal …

Temporal action localization, which requires a machine to recognize the location as well as
the category of action instances in videos, has long been researched in computer vision …

The temporal action localization research aims to discover action instances from untrimmed
videos, representing a fundamental step in the field of intelligent video understanding. With …

Boundary localization is a challenging problem in Temporal Action Detection (TAD), in
which there are two main issues. First, the submergence of movement feature, ie the …

Temporal action localization aims at detecting the temporal intervals of human actions in
untrimmed videos. Most previous methods rely on locating and matching the start and end …

A common approach to Temporal Action Localization (TAL) is to generate action proposals
and then perform action classification and localization on them. For each proposal, existing …

Temporal action detection is a challenging task in video understanding, which is usually
divided into two stages: proposal generation and classification. Learning proposal features …