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
Disguise without Disruption: Utility-Preserving Face De-Identification
Zikui Cai, Zhongpai Gao, Benjamin Planche, Meng Zheng, Terrence Chen, M. Salman Asif, Ziyan Wu
Performance Analysis and Evaluation of Cloud Vision Emotion APIs
Salik Ram Khanal, Prabin Sharma, Hugo Fernandes, João Barroso, Vítor Manuel de Jesus Filipe