[visionlist] ASL4GUP 2017: 1st Call for Papers

Apologies for multiple copies

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

ASL4GUP 2017

http://ift.tt/2f2HRhN

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

Contact: jpwachs@purdue.edu

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DATES

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Important dates

Submission Deadline: Feb 1, 2017

Notification of Acceptance: March 1, 2017

Camera Ready: March 8, 2017

Workshop: May 30, 2017

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SCOPE

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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.

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TOPICS

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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

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SUBMISSIONS

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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:

http://ift.tt/2fd78Jd

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.

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ORGANIZERS

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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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