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
A new method color MS-BSIF Features learning for the robust kinship verification
Rachid Aliradi, Abdealmalik Ouamane, Abdeslam Amrane
Fusion of Deep and Shallow Features for Face Kinship Verification
Belabbaci El Ouanas, Khammari Mohammed, Chouchane Ammar, Mohcene Bessaoudi, Abdelmalik Ouamane, Akram Abderraouf Gharbi
Survey on Deep Face Restoration: From Non-blind to Blind and Beyond
Wenjie Li, Mei Wang, Kai Zhang, Juncheng Li, Xiaoming Li, Yuhang Zhang, Guangwei Gao, Weihong Deng, Chia-Wen Lin
Subjective Face Transform using Human First Impressions
Chaitanya Roygaga, Joshua Krinsky, Kai Zhang, Kenny Kwok, Aparna Bharati