Human Centric Perception

Human-centric perception focuses on enabling computers to understand and interact with humans in visual scenes, aiming to improve applications like autonomous driving and augmented reality. Current research emphasizes developing unified models capable of handling multiple human-related tasks simultaneously (e.g., pose estimation, action recognition) using architectures like vision transformers and leveraging techniques such as masked image modeling and contrastive learning for efficient pre-training. These advancements are crucial for creating robust and versatile systems that can accurately perceive and respond to human behavior in complex environments, improving safety and interaction in various applications.