Abstract Human-Object Interaction (HOI) detection is a task of identifying" a set of
interactions" in an image, which involves the i) localization of the subject (ie, humans) and …

We propose HOI Transformer to tackle human object interaction (HOI) detection in an end-to-
end manner. Current approaches either decouple HOI task into separated stages of object …

Abstract The task of Human-Object Interaction (HOI) detection could be divided into two core
problems, ie, human-object association and interaction understanding. In this paper, we …

We propose a simple, intuitive yet powerful method for human-object interaction (HOI)
detection. HOIs are so diverse in spatial distribution in an image that existing CNN-based …

Two-stage methods have dominated Human-Object Interaction~(HOI) detection for several
years. Recently, one-stage HOI detection methods have become popular. In this paper, we …

We tackle the challenging problem of human-object interaction (HOI) detection. Existing
methods either recognize the interaction of each human-object pair in isolation or perform …

Abstract Human-Object Interaction (HOI) detection is the process of estimating the
interaction between a human and an object in an image. The first attempts at HOI involved …

Understanding emotion in context is a rising hotspot in the computer vision community.
Existing methods lack reliable context semantics to mitigate uncertainty in expressing …

Abstract Scene Graph Generation (SGG) remains a challenging visual understanding task
due to its compositional property. Most previous works adopt a bottom-up two-stage or a …

Recent state-of-the-art methods for HOI detection typically build on transformer architectures
with two decoder branches, one for human-object pair detection and the other for interaction …