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 …

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 …

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 …

Abstract The task of Human-Object Interaction (HOI) detection targets fine-grained visual
parsing of humans interacting with their environment, enabling a broad range of …

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

Abstract Relational Language-Image Pre-training (RLIP) aims to align vision representations
with relational texts, thereby advancing the capability of relational reasoning in computer …

Abstract Human-Object Interaction (HOI) detection is a challenging computer vision task that
requires visual models to address the complex interactive relationship between humans and …

Abstract Human-Object Interaction Detection tackles the problem of joint localization and
classification of human object interactions. Existing HOI transformers either adopt a single …

Abstract Human-Object Interaction (HOI) detection is a critical topic in the visual
understanding field. With the development of deep learning models, the research of HOI …