Object Relation

Object relation research focuses on understanding and modeling the relationships between objects within a scene, aiming to improve artificial intelligence's ability to interpret complex visual information and interact with the physical world. Current research emphasizes developing robust models, often employing graph neural networks and transformers, to represent and reason about these relationships, particularly in challenging scenarios involving multiple objects and dynamic interactions. This work has significant implications for robotics (e.g., grasp planning, manipulation), computer vision (e.g., object detection, action recognition), and natural language processing (e.g., multi-modal understanding), driving advancements in both theoretical understanding and practical applications.