Unique PhD opportunity in Face Recognition at UNSW Sydney **Deadline for Expressions of Interest 20 July!**
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We are seeking a talented and enthusiastic PhD student to join our face recognition team at UNSW Sydney. The position is open to both Australian and International applicants, and we are inviting applications from graduates in all areas of cognitive science.
The PhD will be funded by UNSW's Scientia Scholarship scheme, which is seeking scholars with a strong commitment to making a difference in the world. Successful applicants will be funded for 4 years with a stipend of $40k per annum (plus an additional $10k p/a travel and support package). In addition, international students will be awarded a tuition fee scholarship for 4 years. UNSW Scientia Scholars will also benefit from enhanced professional and career development opportunities, for more information visit: http://www.2025.unsw.edu.au/apply/
The successful applicant will be supervised by cognitive psychologists David White, Richard Kemp and Alice Towler from the UNSW Forensic Psychology Group (http://forensic.psy.unsw.edu.au/). They will conduct original research that complements our ongoing interest in people with superior abilities in face identification. Our group has many active research partnerships with leading academics as well as government and industry experts in this field, and we expect the research project to benefit from these linkages.
We invite applications from graduates in psychology and those with complementary backgrounds in other areas of cognitive science. A computer science background is not essential. We are also very interested to hear from applicants with experience in government and private research sectors.
For more information on the project, and to submit your Expression of Interest please visit the following webpage (before 20 July only): http://www.2025.unsw.edu.au/apply/scientia-phd-scholarships/fusing-human-ex…
For informal queries please contact: david.white(a)unsw.edu.au
2nd Call For Papers
Apologies for unintended cross-posting
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IHCI 2017: 9th International Conference on Intelligent Human-Computer
Interaction
Evry, France, December 11-13, 2017, http://ihci2017.sciencesconf.org
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The 9th international conference on Intelligent Human Computer
Interaction (IHCI 2017) will be held in Evry, near Paris, France, from
11 to 13 of December 2017.
IHCI allows researchers and practitioners to exchange on recent results
in the area of human-computer interaction, related technologies
(including signal processing, multimodal analysis, artificial
intelligence, machine learning and cognitive modelling) and their
applications. The conference will bring together researchers from
academia, industry and research organizations from various disciplines,
around theoretical, practical and application-oriented contributions.
This year, along with usual topics, IHCI 2017 will focus on human
cognition modelling for interaction, including human cognitive process
modelling (for task analysis...), human-robot interaction (for companion
robots...), cognition for interaction in virtual worlds (for autonomous
conversational agents...).
Keynotes will be given by :
- Pr. Alain Berthoz, Honorary Professor at Collège de France, member of
the French Academy of Science and Academy of Technology, on "Simplexity
and vicariance. On human cognition principles for man-machine interaction"
- Pr. Mohamed Chetouani, Professor at Pierre and Marie Curie University,
France, on "Interpersonal Human-Human and Human-Robot Interactions",
- Pr. Antti Oulasvirta, Associate Professor at Aalto University,
Finland, on "Can Machines Design? Optimizing User Interfaces for Human
Performance".
The IHCI topics include but are not limited to:
Human Cognition Modelling:
- Cognitive models of intelligence
- Modelling perceptual processes
- Modelling of learning and thinking
- Modelling of memory
- Cognitive task analysis
User adaptation and Personalization:
- Adaptive learning
- Affective computing for adaptive interaction
- Reinforcement learning
Brain Computer Interfaces:
- Brain computer integration
- Brain activity understanding for interaction
Machine Perception of Humans:
- Speech detection and recognition
- Natural language processing
- Face and emotion detection
- Body sensors and communication
- Gesture recognition
- Human motion tracking
Tactile interfaces:
- Haptics fundaments
- Haptic feedback for interaction
- Haptic feedback for robot collaboration
Human-Robot Interaction and collaboration:
- Collaborative learning
- Collaborative systems
- Temporal coordination modelling
Applications:
- Natural User Interfaces
- Human-robot interaction
- Virtual and augmented reality
- Remote and face-to-face collaboration
- Embodied conversational agents
- Mobile interfaces
- Interface design for accessibility and rehabilitation
- Interaction and cognition for education
- Health
- Serious games
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**NEW:* The conference proceedings will be published as an open access
volume in the Springer series Lecture Notes in Computer Science (LNCS)
and indexed in the ISI Conference Proceedings Citation Index, Scopus, EI
Engineering Index, Google Scholar, DBLP, etc. Papers can be either long
papers (10 to 12 pages) or short papers (4 to 6 pages), and must conform
to the LNCS templates (see the guidelines for authors). *
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Papers must be written in English and describe original work that has
not been published and is not under review elsewhere. In order to
enforce blind reviewing, papers must be made anonymous before submitting
(by removing the author’s names and institution from the header).
Important dates:
- Submission deadline: *June 30, 2017 (EXTENDED) *
- Decision notification: September 10, 2017 (tentative)
- Final version due: October 1st, 2017
Patrick Horain (Telecom SudParis), Chair
Catherine Achard (Université Pierre et Marie Curie), Co-Chair
Malik Mallem (Université Evry Val d'Essonne), Co-Chair
Dear all
I hope you don't mind me forwarding this query from a friend of mine who is a Sleep Clinical Physiologist. If anyone can answers her query that would be great.
Do you know if there is a standard system which can be used to measure an individual’s facial profile, either manually or using software? Our medical photography team take photos annually of patients using non-invasive ventilation, who may experience facial changes related to mask use, and we want to find a way to quantify any changes over time. There are patients where we can subjectively see a change, but we’re looking to find a way to assess this objectively.
Looking in the literature, we can’t find anything for measuring points on the face - there are lots of papers measuring skull landmarks on cephalometric x-rays, but we’re looking for something we can do from photos to avoid irradiating patients if we can!
It sounds like the sort of thing that must already exist, but we can’t seem to find it. I wondered if there might be anything that you use in the facial recognition field that we might be able to apply?
Many thanks,
Trina
Dr Catriona Havard
Senior Lecturer in Psychology
The Open University
Walton Hall
Milton Keynes
MK7 6AA
Tel: 01908 654554
To see a selection of my papers click here
To find out about about our new module Counselling and Forensic Psychology: Investigating crime and therapy click here<http://dd310.madorbad.org/>
Call for papers: Vision Research Special Issue
Vision Research SI: Face perception: Experience, models and neural mechanisms
Editors: Ipek Oruc, Benjamin Balas, Michael S. Landy
Scope:
Faces are ecologically significant stimuli central to social interaction and communication. Human observers possess a remarkable ability to recall great numbers of unique facial identities encountered in a lifetime. Observers can individuate faces seemingly effortlessly based on minor differences across exemplars, yet remain robust against tremendous variation across different images of the same identity. For these and other reasons face recognition is considered to be a form of specialized perceptual expertise. The last few decades have seen a flurry of research activity delineating the limits to this expertise. For example, face expertise fails to generalize to faces of unfamiliar races (“the other-race effect”) and to faces viewed in the inverted orientation (“the face inversion effect”). Despite this tremendous progress identifying the limits of specialized face perception, there is little consensus over the origins of this specialization and the forces that shape this extraordinary skill. Some researchers emphasize genetic and innate contributions. Others stress the key role played by experience during sensitive periods of early development. Yet others argue that face expertise is a dynamic ability continually reshaped by experience well into adulthood.
The primary goal of this special issue is to bring together current research on this topic. Questions we would like to address include but are not limited to: What are the main contributors to face expertise: experiencing a large number of individual exemplars even if only during brief encounters (e.g., unfamiliar faces in a bus) or prolonged experience with a small number of faces (e.g., family interactions)? Can the other-race effect be eliminated (or even reversed)? If so, is this possible during adulthood or limited to early development? How does experience alter perceptual representations of faces and neural mechanisms underlying face recognition? We seek research papers that address the emergence and maintenance of face expertise that span the entire life cycle from development to adulthood as well as aging. Behavioural, neuroimaging, naturalistic observation and modelling approaches are all welcome.
Deadline for submission is September 15, 2017.
Prospective authors are encouraged to contact one of the editors (ipor(a)mail.ubc.ca<mailto:ipor@mail.ubc.ca>, bjbalas(a)gmail.com<mailto:bjbalas@gmail.com>, landy(a)nyu.edu<mailto:landy@nyu.edu>) with a tentative title prior to submission.
For further information and author instructions:
https://www.journals.elsevier.com/vision-research/call-for-papers/face-perc…
_______________________________________________
Ipek Oruc
Assistant Professor
Department of Ophthalmology & Visual Sciences
University of British Columbia
Rm 4440 - 818 West 10th Avenue
Vancouver, BC V5Z 1M9
email: ipor(a)mail.ubc.ca<mailto:ipor@mail.ubc.ca>
URL: http://www.visualcognition.ca/ipek/