Topics of interest include (but are not limited to): 

• Face Recognition in the wild 

• Person Detection and Re-identification 

• Deep Learning for Human Recognition 

• Face Detection and Face Tracking to support recognition 

• Identification using soft-biometrics 

• Open-set Identification Methods 

• Gait-based Recognition 

• Identification techniques to deal with partial, corrupted and noisy data 

• Scalable methods for face and person recognition 

• Attributes that improve identification 

• Interplay and fusion between face and person re-identification methods 

• De-identification methods (how to preserve the identity) 

• Implication of human identification on social networks and social media 

• Datasets for human identification using multiple, different cues. 

• Theoretical studies showing integration of multi-recognition methods 

• Machine learning applied to identification 

• New evaluation metrics for open-world human identification