WFI 2016 - Workshop on Facial Informatics (WFI)

A face tells about one's gender, age, emotion, ethnicity, attractiveness and much more. It has long been considered as a vital biometric trait. Tremendous research works are being carried out in the fields of computer vision and psychology. As deep learning is considered an unconventional approach that reveals visual intelligence close to humans, it is of great interest to gather works on facial informatics from different disciplines using conventional/unconventional methods, and to stimulate communications across these disciplines.
This workshop aims to promote interactions between researchers, scholars, practitioners, engineers and students from across industry and academia on all aspects of facial informatics. It will include both oral and poster presentations. We are soliciting original works that address a wide range of issues including, but not limited to:
Face detection, tracking and/or recognition
Face alignment
Facial trait analysis
Facial attributes recognition (for example, expression, age, gender, ethnicity, attractiveness)
Video-based facial analysis and understanding
Micro-facial expressions
Deep learning on face
Face databases
Protocols and evaluations
In addition, manuscripts with preliminary results are also welcome.