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DLFI 2018 : Deep Learning for Facial Informatics (Special Issue on)

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Link: http://www.mdpi.com/journal/symmetry/special_issues/Deep_Learning_Face_Informatics
 
When N/A
Where N/A
Submission Deadline Aug 15, 2018
Notification Due Oct 15, 2018
Final Version Due Nov 5, 2018
Categories    deep learning   facial informatics   biometrics   computer vision
 

Call For Papers

2018 MDPI Symmetry Special Issue on Deep Learning for Facial Informatics

Website:
http://www.mdpi.com/journal/symmetry/special_issues/Deep_Learning_Face_Informatics
Contact:
Gee-Sern Jison Hsu (jison at mail.ntust.edu.tw)
Radu Timofte (radu.timofte at vision.ee.ethz.ch)


SCOPE

Deep learning has been revolutionizing many fields in computer vision, and facial informatics is one of the major fields. Novel approaches and performance breakthroughs are often reported on existing benchmarks. As the performances on existing benchmarks are close to saturation, larger and more challenging databases are being made and considered as new benchmarks, further pushing the advancement of the technologies. Considering face recognition, for example, the DeepFace and DeepID report nearly perfect and better-than-human performances on the LFW (Labeled Faces in the Wild) benchmark. More challenging benchmarks, e.g., the IARPA Janus Benchmark A (IJB-A) and MegaFace, are accepted as new standards for evaluating the performance of a new approach. Such an evolution is also seen in other branches of face informatics.

This special issue aims to delineate the state-of-the-art technologies in deep learning for facial informatics from multiple perspectives, including methods, architectures, databases, protocols and applications. Researchers from both academia and industry are cordially invited to share their latest advancements on all aspects of facial informatics. Both image- and video-based works are welcome. Topics for this special issue include, but are not limited to, the following: face recognition, face alignment, face detection and tracking, facial attributes (e.g., age, expression, gender, ethnicity, micro-expression, …), face hallucination, facial trait analysis.

All received submissions will be subject to peer review by experts in the field and will be evaluated based on their relevance to this special issue, level of novelty, significance of contribution, and the overall quality.


SUBMISSION


Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, the submission form is available at: http://www.mdpi.com/user/manuscripts/upload/?journal=symmetry. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page: http://www.mdpi.com/journal/symmetry/instructions . Symmetry is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1200 CHF (Swiss Francs). This charge will be waived for the top ranked 5 accepted submissions (therefore, no fee for the best papers).


DATES

Submission: Aug. 15, 2018
First Review: Sep. 15, 2018
First Revision Due: Oct. 15, 2018
Final Review: Oct. 25, 2018
Final Revision Due: Nov. 5, 2018
Acceptance Notification: Dec. 15, 2018
Online Publication: Right after acceptance

CONTACT:
Gee-Sern Jison Hsu (jison at mail.ntust.edu.tw)
Radu Timofte (radu.timofte at vision.ee.ethz.ch)

WEBSITE:
http://www.mdpi.com/journal/symmetry/special_issues/Deep_Learning_Face_Informatics

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