ACLab operates at the intersection of computer vision and machine learning, aiming to understand and predict human and animal behaviors in the world through visual perception tasks such as object modeling, tracking, and action recognition. We streamline complex data into low-dimensional “pose” embeddings for efficient state estimation, leveraging machine intelligence to enhance, not replace, human capabilities. Additionally, we address Small Data challenges by incorporating domain knowledge into generative models, optimizing for data-efficient machine learning.