We invite submissions for the IMAVIS special issue on »Deep Learning
Techniques Applied to Faces«. The goal of this special issue is to
gather novel contributions (either from academia or industry) on deep
learning techniques applied to face images that advance the field across
a diverse cross-section of application domains.

Topics of interest include, but are not limited to:

+ Adversarial techniques in facial analysis
+ Generative modeling of facial expressions and face aging
+ Deep learning architectures and algorithms for face-related applications
+ Deep learning based smart medical solutions related to face understanding
+ Machine learning techniques for deep face recognition
+ Deep learning based face data generation and management
+ High performance computing for deep learning based facial analysis
+ Face-related privacy concerns and solutions
+ Face editing, manipulation and detection

The submission deadline is *** September 15, 2021 ***.  For more
information visit:
https://www.journals.elsevier.com/image-and-vision-computing/call-for-papers/deep-learning-techniques-applied-to-faces

*** Guest Editors **
Ioannis A. Kakadiaris, University of Houston
Constantine Kotropoulos, Aristotle University of Thessaloniki
Vitomir Struc, University of Ljubljana
Deepak Kumar Jain, Chongqing University of Posts and Telecommunications