Human Centric Task

Human-centric tasks in artificial intelligence focus on developing systems that understand and interact with humans effectively, addressing individual needs and diverse contexts. Current research emphasizes creating generalizable models capable of handling various human-related perception and interaction tasks, often employing multimodal architectures (combining vision, language, and 3D data) and leveraging techniques like parameter-efficient fine-tuning and projector-assisted pretraining to improve performance and efficiency. These advancements are significant for improving human-AI collaboration in diverse applications, ranging from assistive technologies and autonomous systems to virtual and augmented reality experiences.