[visionlist] FG2020 Call for Tutorial - Reminder: deadline January 24th

[Daniel Acevedo]

Call for Tutorials @FG2020
Proposals are solicited for tutorials to be organized in conjunction with the 2020 IEEE Conference on Automatic Face and Gesture Recognition (FG2020), which will be held from May 18 to May 22, 2020 in Buenos Aires, Argentina. The tutorials should complement and enhance the scientific program of FG2020 by providing authoritative and comprehensive overviews of growing themes that are of sufficient relevance with respect to the state-of-the-art and the conference topics.

Accepted tutorials will be held on either May 18 or May 22, 2020, in the same venue as the FG2020 main conference. The tutorials are half-day events (3 to 4 hours including breaks).

We solicit proposals on any topic of interest to the FG community. Interdisciplinary topics that could attract a significant cross-section of the community are highly encouraged. We particularly welcome tutorials which address advances in emerging areas not previously covered in an FG related tutorial.

A tutorial proposal should include:

Tutorial title
Proposer’s contact information and short CV
Names of any additional lecturers and short CV
Tutorial description and description of the relevance to the FG community
References and experience of the instructors with respect to the proposed tutorial topic
Preferred length (half day or full day)
List of relevant tutorials recently presented in other conferences
Requirements (e.g., facilities, Internet access, etc.)
Other useful information (e.g., estimated attendance, slides/notes available, etc.). 
The main conference will provide rooms, equipment, and coffee breaks for the tutorials. For any additional questions please contact FG2020 Workshops Chairs at workshops at fg2020.org <mailto:workshops at fg2020.org>.

For your reference, below is a list of tutorials held in conjunction with FG2019:

3D Human pose understanding <https://gmail.us4.list-manage.com/track/click?u=e44e911ba2f0930890c88b590&id=ed6548af5e&e=964e78ed96> – Guido Borghi, Simone Calderara, Rita Cucchiara, Roberto Vezzani
Face Recognition from Academia to Industry: Past, Present, and Future <https://gmail.us4.list-manage.com/track/click?u=e44e911ba2f0930890c88b590&id=e1eb63d5ee&e=964e78ed96> – Guosheng Hu, Yandong Guo, Lei Zhang
Introduction to Deep Learning for Facial and Gesture Understanding <https://gmail.us4.list-manage.com/track/click?u=e44e911ba2f0930890c88b590&id=820da8d34c&e=964e78ed96> – Raymond W. Ptucha
Visual Recognition of Families In the Wild <https://gmail.us4.list-manage.com/track/click?u=e44e911ba2f0930890c88b590&id=ea3cbc489f&e=964e78ed96> – Joseph P Robinson, Ming Shao, Siyu Xia, Yun Fu
Adversarial Learning in Face Recognition – Two Sides of the Security Coin <https://gmail.us4.list-manage.com/track/click?u=e44e911ba2f0930890c88b590&id=bd1ff9dde3&e=964e78ed96> – Mayank Vatsa 
Review process

Tutorial proposals will be evaluated on the basis of their estimated benefit for the community and their fit within the tutorials program as a whole. Factors to be considered include: relevance, timeliness, importance, and audience appeal; suitability for presentation in a half or full day format; past experience and qualifications of the instructors. Selection will also be based on the overall distribution of topics, expected attendance, and specialties of the intended audiences.

 
Submission process

Tutorial proposals must be sent in PDF format to the FG2020 Workshop and Tutorial Co-chairs at workshops at fg2020.org <mailto:workshops at fg2020.org>  with email subject “FG2020 Tutorial Proposal: [title of your tutorial]”.

 
Important Dates:

Tutorial proposals due: January 24th, 2020
Notification of acceptance: February 7, 2020
Workshops and tutorials: May 18 and May 22, 2020
 

Contact

For further questions, please contact the Workshops and Tutorials Chairs (workshops at fg2020.org) <https://gmail.us4.list-manage.com/track/click?u=e44e911ba2f0930890c88b590&id=9d6404602c&e=964e78ed96>:

Àgata Lapedriza, Universitat Oberta de Catalunya and MIT.
Carlos Busso, University of Texas at Dallas.
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