FacesMM2018: Faces in Multimedia (ICME Workshop) Hyatt Regency La Jolla San Diego, CA, United States, July 23-27, 2018 |
Conference website | https://web.northeastern.edu/smilelab/FacesMM2018/index.html |
Submission link | https://easychair.org/conferences/?conf=facesmm2018 |
Submission deadline | March 26, 2018 |
Notifications | April 27, 2018 |
Faces in Multimedia Workshop calls for novel work in the automatic understanding of faces. As a Workshop held in conjunction with the 2018 IEEE International Conference on Multimedia and Expo (ICME 2018), we are looking for work from different views (i.e., various types of data) and multi-modal approaches (i.e., multimedia). We are looking for quality papers (long and short) that spans various faces-related problems. Special attention will be given to work on kinship.
Thus, this provides a platform for novel work, state-of-the-art methodologies, nature-based studies, innovative ideas concerning kinship. With the minds and efforts of the research communities, we to both integrate kin-related work across domains/ fields and push the frontier of automatic face recognition technologies and, ultimately, bridge the gap between research-and-reality.
For more information on ICME 2018, see http://www.icme2018.org/.
The best paper award will be awarded.
Submission Guidelines
Paper Submission Instructions
Please submit a full-length paper (up to 6 pages IEEE 2-column format) through the online submission system here
The templates for Microsoft Word and LaTeX submissions are available as below.
List of Topics
- Soft biometrics and profiling of 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;
- Understanding of the familial features from vast amount of social media data;
- Discovery of the social groups from faces and the context;
- Mining social face relations through metadata as well as visual information;
- Tracking and extraction and analysis of face models captured by mobile devices;
- Face recognition in low-quality or low-resolution video or images;
- Novel mathematical models and algorithms, sensors and modalities for face & body gesture and action representation;
- Analysis and recognition for cross-domain social media;
- Novel social applications involving detection, tracking & recognition of faces;
- Face analysis for sentiment analysis in social media;
- Other applications involving face analysis in social media content.
Committees
Joseph Robinson, Northeastern University, http://www.jrobsvision.com
Ming Shao, University of Massachusetts (Dartmouth), http://www.cis.umassd.edu/~mshao/
Siyu Xia, Southeast University (China), Nanjing, https://sites.google.com/site/seusiyuxia/home
Contact
Joseph Robinson (robinson.jo@husky.neu.edu)
Department of Electrical and Computer Engineering, Northeastern University, Boston, MA, USA
Ming Shao (mshao@umassd.edu)
Computer and Information Science, University of Massachusetts Dartmouth, Dartmouth, MA, USA