Biometric Recognition in the Era of AI Generated Content (AIGC) - Webinar

#biometrics #ai #deeplearning #computervision #webinar #generativeai

In recent years we have witnessed impressive progress on AIGC (Artificial Intelligence Generated Content). AIGC has many applications in our society, as well as benefits diverse computer vision tasks. In the context of biometric recognition, we believe that the AIGC era calls for innovation on both data generation and how to leverage the generated data. In this talk, I will present a number of efforts that showcases these innovations, including: 1) how to bridge the gap between the training data distribution and test data distribution; 2) how to generate a complete synthetic database to train face recognition models; 3) how to estimate the 3D body shape from an image of clothed human body; and 4) how to manipulate a human body image by changing its body pose, clothing style, background, and identity. In the end, we will briefly overview other research efforts in the Computer Vision Lab at Michigan State University.