[visionlist] CFP: 2nd IEEE International Workshop on Faces in Multimedia @ 2019 ICME, Shanghai, China

Joseph Robinson robinson.jo at husky.neu.edu
Thu Jan 3 10:13:28 -05 2019

   IEEE international workshop on in conjunction with 2019 ICME

*   2nd Workshop on Faces in Multimedia
<https://web.northeastern.edu/smilelab/facesmm19/index.html> (FacesMM)*

   -- To Automatically Synthesize, Recognize, Understand Faces in the Wild

Call For Papers

There has been remarkable advances in facial recognition technologies the
past several years due to the rapid development of deep learning and
large-scale, labeled face collections. Thus, there are now evermore
challenging image and video collections to solve emerging problems in the
fields of faces and multimedia. In parallel to face recognition,
researchers continue to show an increasing interest in topic of face
synthesis. Works have been done using imagery, videos, and various other
modalities (e.g., hand sketches, 3D models, view-points): some focus on the
individual or individuals (e.g., with/without makeup, age varying,
predicting a child appearance from parents, face swapping), while others
leverage generative modeling for semi-supervised learning of recognition or
detection systems. Besides, generative modeling are methodologies to
automatically interrupt and analyze faces for a better understanding of
visual context (e.g., relationships of persons in a photo, age estimation,
occupation recognition). It is an age where many creative approaches and
views are proposed for face synthesizing. Also, various advances are being
made in other technologies involving automatic face understanding: face
tracking (e.g., landmark detection, facial expression analysis, face
detection), face characterization (e.g., behavioral understanding, emotion
recognition), facial characteristic analysis (e.g., gait, age, gender and
ethnicity recognition), group understanding via social cues (e.g.,
kinship), and visual sentiment analysis (e.g., temperament, arrangement).
The ability to model with high certainty has significant value in both the
scientific communities and the commercial market, with applications
spanning topics of HCI, social-media analytics, video indexing, visual
surveillance, and online vision.

*The 2nd Workshop on Faces in Multimedia* (FacesMM) serves a forum for
researchers to review the recent progress the automatic face understanding
and synthesizing in multimedia. *Special interest will be given to
generative-based modeling.* The workshop will include two keynotes, along
with peer-reviewed papers (oral and poster). Novel high-quality
contributions are solicited on the following topics:


   Face synthesis and morphing; works on generative modeling;

   Soft biometrics; profiling faces: age, gender, ethnicity, personality,
   kinship, occupation, and beauty ranking;

   Deep learning practice for social face problems with ambiguity including
   kinship verification, family recognition and retrieval;

   Discovery of the social groups from faces and the context;

   Mining social face relations through metadata as well as visual

   Tracking and extraction and analysis of face models captured by mobile

   Face recognition in low-quality or low-resolution video or images;

   Novel mathematical models & algorithms: sensors & modalities for face,
   body pose, action representation;

   Analysis and recognition for cross-domain social media;

   Novel social applications involving detection, tracking & recognition of

   Face analysis for sentiment analysis in social media;

   Other applications involving face analysis in social media content.

Workshop webpage: https://web.northeastern.edu/smilelab/facesmm19/index.html
Previous FacesMM Workshops

Take a look back at last year's FacesMM workshop,

Important Dates
*1 March 2019* Submission Deadline
*20 March 2019* Notification
*15 April 2018* Camera-Ready Due
Author Guidelines

Submissions handled via CMT website:

Following the guideline of ICME2019:

   - 6 pages (including references)
   - Anonymous
   - Using ICME template


*Yun Fu*, Northeastern University, http://www1.ece.neu.edu/~yunfu/

*Joseph Robinson*, Northeastern University, http://www.jrobsvision.com

*Ming Shao*, University of Massachusetts (Dartmouth),

*Siyu Xia*, Southeast University (China), Nanjing,


*Joseph Robinson* (robinson.jo at husky.neu.edu)
Department of Electrical and Computer Engineering, Northeastern University,
Boston, MA, USA

*Ming Shao* (mshao at umassd.edu)
Computer and Information Science, University of Massachusetts Dartmouth,
Dartmouth, MA, USA
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