Human–object interaction (HOI) detection aims to localize and classify triplets of human,
object and interaction from a given image. Earlier two-stage methods suffer both from …

Human-object interaction (HOI) detection is an advanced computer vision task for detecting
the relationship between human and surrounding objects. Some methods have emerged to …

Human–object interactions (HOI) detection aims at capturing human–object pairs in images
and predicting their actions. It is an essential step for many visual reasoning tasks, such as …

Human–object interaction (HOI) detection is important to understand human-centric scenes,
the hard core of which lies in learning the structure information from various types of …

Single-stage Human-Object Interaction (HOI) detection methods have attracted considerable
attention due to their high efficiency. Existing methods tend to concentrate the detection of …

Cameras are essential vision instruments to capture images for pattern detection and
measurement. Human–object interaction (HOI) detection is one of the most popular pattern …

Human interaction recognition is an essential task in video surveillance. The current works
on human interaction recognition mainly focus on the scenarios only containing the close …

In the ever-evolving landscape of computer vision (CV), human-computer interaction has
emerged as a ground-breaking method. In dynamic scenarios where instant analysis is …

Human-object interaction (HOI) detection seeks complicated relationships between humans
and objects, yet struggles persist in correctly associating multiple objects with a single …

Weakly supervised temporal action localization aims to locate the start and end boundaries
of action instances and recognize the corresponding categories. Classical methods include …