[visionlist] ASL4GUP 2017: 1st Call for Papers

Apologies for multiple copies


First International Workshop on Adaptive Shot Learning for Gesture Understanding and Production

ASL4GUP 2017


Held in conjunction with IEEE FG 2017, in May 30, 2017, Washington DC, USA

Contact: jpwachs@purdue.edu




Important dates

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 – 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 – 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


Workshop papers are included in the proceedings. 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@purdue.edu

Richard Voyles (Purdue University, USA); rvoyles@purdue.edu

Susan Fussell (Cornell University, USA); sfussell@cornell.edu

Isabelle Guyon (Université Paris-Saclay, France); guyon@clopinet.com

Sergio Escalera (Computer Vision Center and University of Barcelona, Spain); sergio.escalera.guerrero@gmail.com

Juan P. Wachs, Ph.D.
Associate Professor,
Regenstrief Center for Healthcare Engineering 
School of Industrial Engineering Purdue University
315 N. Grant Street
West Lafayette, IN 47907
765 496-7380 (tel)
765 494-1299 (fax)http://ift.tt/2f2GqQj


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