Call for Papers

Call for Papers: 
International Journal of Computer Vision (IJCV) 
Special Issue on Deep Learning for Face Analysis

Deep learning is one of the most important breakthroughs in the field
of artificial intelligence over the last decade. It has achieved great
success in speech recognition, natural language processing, computer
vision, and multimedia. Many face analysis tasks, including face
detection, alignment, reconstruction, and recognition, benefit from
the powerful representation learning capability of deep learning
techniques. Not only there has been a constantly growing flow of
related research papers, but also substantial progress has been
achieved in real-world applications such as security, video
surveillance, and human-computer interaction.  While substantial
progress has been achieved in face analysis with deep learning, many
issues still remain and new problems emerge. For instance, the
scalability of deep networks to large-scale unconstrained recognition
needs be improved. In-the-wild facial attributes recognition with
imbalance class distribution is still challenging. The accuracy and
efficiency of detecting faces with a wide range of scales in a crowded
scene still see a large room for improvement.

This special issue presents a great platform to make a definitive
statement about the state of the art by providing a significant
collective contribution to this emerging field of study. Specifically,
we aim to solicit original contributions that: (1) present
state-of-the-art theories related to deep learning for face analysis;
(2) develop novel methods and applications; (3) survey the recent
progress in this area; and (4) establish benchmark datasets.

Paper Submission:

Authors are encouraged to submit original work that has not appeared
in, nor is in consideration by, other journals. Previously published
conference papers can be submitted in extended form (with additional
supporting experiments and a more detailed technical description of
the method). Manuscripts will be subject to a peer reviewing process
and must conform to the authors guidelines available on the IJCV
website at "Instructions for Authors" on the right panel. Manuscripts
can be submitted to: by selecting “S.I.: Deep
Learning for Face Analysis” in the section “Choose Article

Important Dates:
Submission deadline: 15 January 2018
First review decision: 15 April 2018
Revision deadline: 30 Jun 2018
Final review decision: 01 August 2018
Final manuscript submission: 01 September 2018
Online publication: October 2018