[Face-research-list] FG2017 - 1st International Workshop on Adaptive Shot Learning for Gesture Understanding and Production

Daniel.Gill Daniel.Gill at winchester.ac.uk
Mon Jan 16 16:46:35 GMT 2017

Dear all,

The submission deadline of the 1st International Workshop on Adaptive Shot Learning for Gesture Understanding and Production is very close (please see details below).
Please notice that the accepted papers will be part of the FG proceedings and potentially some of them be part of a special issue of TPAMI.

Kind regards,
Daniel Gill

Dr. Daniel Gill
Department of Psychology
The University of Winchester
SO22 4NR

Phone (office): +44 (0) 1962 675144
e-mail Daniel.Gill at winchester.ac.uk<mailto:Daniel.Gill at winchester.ac.uk>


1st International Workshop on Adaptive Shot Learning for Gesture Understanding and Production
ASL4GUP 2017
In conjunction with IEEE FG 2017
May 30, 2017, Washington DC, USA

Contact: jpwachs at purdue.edu

Submission Deadline: Feb 1, 2017
Notification of Acceptance: March 1, 2017
Camera Ready: March 8, 2017
Workshop: May 30, 2017


In the aim of natural interaction with machines, a framework must be developed to include the adaptability humans portray to understand gestures from context, from a single observation or from multiple observations. This is also referred as adaptive shot learning Ð the ability to adapt the mechanism of recognition to a barely seen gesture, well-known or entirely unknown. Of particular interest to the community are zero-shot and one-shot learning, given that most work has been done in the N-shot learning scenario. The workshop aims to encourage works that focus on the way in which humans produce gestures Ð the kinematic and biomechanical characteristics, and the cognitive process involved when perceiving, remembering and replicating them. We invite submission of papers presenting original research in the aforementioned theme.


Topics of interest (but not limited to):
* One and zero shot recognition;
* Gesture production from context or single observation;
* EEG based gesture recognition
* Context modeling from gesture languages;
* Holistic approaches to gesture modeling and recognition;
* Human-like gesture production and recognition;
* Gesture based robotic control and interfaces


Submissions may be up to 8 pages, in accordance with the IEEE FG conference format. Papers longer than six pages will be subject to a page fee (100 USD per page) for the extra pages (two max). We welcome regular, position and applications papers.  Submission through:

Accepted papers will be included in the Proceedings of IEEE FG 2017 & Workshops and will be sent for inclusion into the IEEE Xplore digital library. Selected papers will be also invited for a full submission to a special issue in a leading journal in the field of machine learning and cognition.


Juan P Wachs (Purdue University, USA); jpwachs at purdue.edu
Richard Voyles (Purdue University, USA); rvoyles at purdue.edu
Susan Fussell (Cornell University, USA); sfussell at cornell.edu
Isabelle Guyon (UniversitŽ Paris-Saclay, France); guyon at clopinet.com
Sergio Escalera (Computer Vision Center and University of Barcelona, Spain); sergio.escalera.guerrero at gmail.com

Program Committee

1. Nadia Bianchi-Berthouze, University College London, UK (confirmed)
2. Albert Ali Salah, Bogazici University, Turkey  (confirmed)
3. Adar Pelah, University of York, UK   (confirmed)
4. Hugo Jair Escalante, INAOE, Mexico   (confirmed)
5. Jun Wan, Insitute of Automation, Chinese Academy of Sciences, China (confirmed)
6. Miriam Zacksenhouse, Technion, Israel (confirmed)
7. Marta Mejail, Universidad de Buenos Aires (UBA), Argentina (confirmed)
8. Tamar Flash, The Weizmann Institute of Science, Israel (confirmed)
9. Luigi Gallo, Institutes of the National Research Council, Italy (confirmed)
10. Mathew Turk, University of California, Santa Barbara, USA (confirmed)
11. Daniel Gill, University of Winchester (UK) (confirmed)
12. Ray Perez, Office of Naval Research (ONR) – USA (confirmed)
13. Daniel Foti (Purdue) – USA (confirmed)
14. Yael Edan (Ben-Gurion University of the Negev) – Israel (confirmed).

[University of Winchester]

University of Winchester, a private charitable company limited by
guarantee in England and Wales number 5969256.
Registered Office: Sparkford Road, Winchester, Hampshire SO22 
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