[workshop] Adaptive Shot Learning for Gesture Understanding and Production (in conjunction with IEEE FG 2017) - CFP

classic Classic list List threaded Threaded
1 message Options
Reply | Threaded
Open this post in threaded view

[workshop] Adaptive Shot Learning for Gesture Understanding and Production (in conjunction with IEEE FG 2017) - CFP

opencv-users mailing list
Apologies for multiple copies

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: [hidden email]

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


Juan P Wachs (Purdue University, USA); [hidden email]
Richard Voyles (Purdue University, USA); [hidden email]
Susan Fussell (Cornell University, USA); [hidden email]
Isabelle Guyon (UniversitŽ Paris-Saclay, France); [hidden email]
Sergio Escalera (Computer Vision Center and University of Barcelona,
Spain); [hidden email]

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
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
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).