7 papers
What-Meets-Where: Unified Learning of Action and Contact Localization in Images
Yuxiao Wang, Yu Lei, Wolin Liang +4
People control their bodies to establish contact with the environment. To comprehensively understand actions across diverse visual contexts, it is essential to simultaneously consi…
Alleviating Choice Supportive Bias in LLM with Reasoning Dependency Generation
Nan Zhuang, Wenshuo Wang, Lekai Qian +3
Recent studies have demonstrated that some Large Language Models exhibit choice-supportive bias (CSB) when performing evaluations, systematically favoring their chosen options and…
QueryCraft: Transformer-Guided Query Initialization for Enhanced Human-Object Interaction Detection
Yuxiao Wang, Wolin Liang, Yu Lei +3
Human-Object Interaction (HOI) detection aims to localize human-object pairs and recognize their interactions in images. Although DETR-based methods have recently emerged as the ma…
Prompt Guidance and Human Proximal Perception for HOT Prediction with Regional Joint Loss
Yuxiao Wang, Yu Lei, Zhenao Wei +4
The task of Human-Object conTact (HOT) detection involves identifying the specific areas of the human body that are touching objects. Nevertheless, current models are restricted to…
FreeA: Human-object Interaction Detection using Free Annotation Labels
Qi Liu, Yuxiao Wang, Xinyu Jiang +5
Recent human-object interaction (HOI) detection methods depend on extensively annotated image datasets, which require a significant amount of manpower. In this paper, we propose a…
A Review of Human-Object Interaction Detection
Yuxiao Wang, Yu Lei, Li Cui +3
Human-object interaction (HOI) detection plays a key role in high-level visual understanding, facilitating a deep comprehension of human activities. Specifically, HOI detection aim…