Face Image
Face image analysis is a rapidly evolving field focused on developing robust and accurate methods for processing and understanding facial images. Current research emphasizes improving the quality of face images through techniques like super-resolution and restoration, enhancing the interpretability of face recognition systems using natural language processing and explainable AI, and mitigating biases in both face recognition and generation models. These advancements have significant implications for various applications, including security, healthcare, and social sciences, by improving the accuracy and fairness of facial analysis technologies.
Papers
Prepended Domain Transformer: Heterogeneous Face Recognition without Bells and Whistles
Anjith George, Amir Mohammadi, Sebastien Marcel
Face Super-Resolution with Progressive Embedding of Multi-scale Face Priors
Chenggong Zhang, Zhilei Liu
GGViT:Multistream Vision Transformer Network in Face2Face Facial Reenactment Detection
Haotian Wu, Peipei Wang, Xin Wang, Ji Xiang, Rui Gong