Large Scale Human

Research on large-scale human data focuses on leveraging massive datasets to improve various AI applications, particularly in computer vision and natural language processing. Current efforts involve developing and applying advanced models like large language models (LLMs), convolutional neural networks (CNNs), and generative adversarial networks (GANs) to tasks such as human body parsing, avatar reconstruction, and bias detection in language models. This work is crucial for advancing AI capabilities in personalized medicine, autonomous systems, and other fields requiring accurate and robust human-centric models, while also addressing ethical concerns surrounding bias and fairness in AI.