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 …

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 …

Abstract Human-Object Interaction (HOI) detection aims to localize human-object pairs and
recognize their interactions. Recently, Contrastive Language-Image Pre-training (CLIP) has …

Abstract Human-Object Interaction (HOI) detection, which localizes and infers relationships
between human and objects, plays an important role in scene understanding. Although two …

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 …

Recently, the DETR framework has emerged as the dominant approach for human--object
interaction (HOI) research. In particular, two-stage transformer-based HOI detectors are …

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 …

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 …

Abstract Recent high-performing Human-Object Interaction (HOI) detection techniques have
been highly influenced by Transformer-based object detector (ie, DETR). Nevertheless, most …

Recent developments in transformer models for visual data have led to significant
improvements in recognition and detection tasks. In particular, using learnable queries in …