Dear fellow face researchers,
Due to mixed messages from the grant bodies, I am trying to get an idea of how successful grants on face recognition have been with ESRC versus BBSRC - particularly applications based on face recognition abilities / prosopagnosia which did NOT include any neuroimaging (note: MRC is not possible to apply for in my case).
If you have had some experience with either of these, I would be *hugely* grateful if you could email me privately (j.davies-thompson(a)nottingham.ac.uk) with which grant body you were successful with (or perhaps got turned down from because it was not ’social’ or ‘biological’ enough), and the general topic that your grant was on.
Many thanks!
Jodie
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PhD Studentship: Models of Human Face Perception
We have a studentship available for UK/EU citizens to work in the Face Research Lab with Professor Peter Hancock. The aim is to work on a computer model of human face perception and recognition. Such a model should show characteristics of human perception, for example being very good at recognising familiar faces but rather poor with unfamiliar ones, yet still able to derive things like age, sex, race and expression. The student will join a much larger project, FACER2VM, where the aim is to improve the state of the art in computer face recognition 'in the wild'. Working with two postdocs who are studying human face recognition, the aim of this studentship is to further our understanding of how we may do it; it is explicitly not a hard-core, squeeze the best you can out of a deep neural network project.
The successful candidate will need good programming skills, for example in Matlab or Python. Ideally they will already also be familiar with the psychology of human face perception.
The studentship is available for three-years, and includes a tax-free stipend of approximately £14,553 p.a. Tuition fees will be met by the University at the home/EU rate. Subject to satisfactory progress review at the end of the first year, the studentship will be renewed for a second year and thereafter for a third year.
The studentship will have an anticipated registration date of 1 October 2017.
Informal enquiries to Peter Hancock, pjbh1(a)stir.ac.uk<mailto:pjbh1@stir.ac.uk> or Linda Cullen (linda.cullen(a)stir.ac.uk<mailto:linda.cullen@stir.ac.uk> Tel: +44 (0) 1786 466854.
Please submit a CV and research proposal via the online application, selecting 'Research Degree in Psychology':
http://www.stir.ac.uk/postgraduate/how-to-apply/
Once you have started the application process, please email research.admissions(a)stir.ac.uk<mailto:research.admissions@stir.ac.uk> to ask to be exempted from the 'find-a-supervisor' process.
Closing date: 28th July
Peter Hancock
Professor,
Deputy Head of Psychology,
Faculty of Natural Sciences
University of Stirling
FK9 4LA, UK
phone 01786 467675
fax 01786 467641
http://stir.ac.uk/190http://orcid.org/0000-0001-6025-7068http://www.researcherid.com/rid/A-4633-2009
Psychology at Stirling: 100% 4* Impact, REF2014
Come and study Face Perception at the University of Stirling! Our unique MSc in the Psychology of Faces is open for applications. For more information see http://www.stir.ac.uk/postgraduate/programme-information/prospectus/psychol…
[highly cited 2016]
Unique PhD opportunity in Face Recognition at UNSW Sydney **Deadline for Expressions of Interest 20 July!**
=====================================================================================
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
=================================================================================
IHCI 2017: 9th International Conference on Intelligent Human-Computer
Interaction
Evry, France, December 11-13, 2017, http://ihci2017.sciencesconf.org
=================================================================================
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
---------------------------------------------------------------------------------------
**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). *
---------------------------------------------------------------------------------------
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/
Call For Papers
Apologies for unintended cross-posting
=================================================================================
IHCI 2017: 9th International Conference on Intelligent Human-Computer
Interaction
Evry, France, December 11-13, 2017, http://ihci2017.sciencesconf.org
=================================================================================
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,
on "Interpersonal Human-Human and Human-Robot Interactions",
- Pr. Antti Oulasvirta, Associate Professor at Aalto University, 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
Regular (5 to 8 pages) and short papers (3 to 4 pages) describing
original work in any of the Human Computer Interaction areas are welcome
and will be published by an established scientific editor (previous
proceedings were published by IEEE, Springer or Elsevier). 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 by
removing the author’s names and institution from the header. Papers must
be written in English using the templates and guide for authors (coming
soon).
Important dates:
- Submission deadline: June 20, 2017
- 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
Apologies for cross-postings
2nd Call for challenge participation
Train and Validation data is available now!
Fifth Emotion Recognition in the Wild (EmotiW) Challenge 2017
https://sites.google.com/site/emotiwchallenge
@ ACM International Conference on Multimodal Interaction 2017, Glasgow
---------------------------------------------------------------------
The Fifth Emotion Recognition in the Wild 2017 Challenge consists of
multimodal classification challenges, which mimics real-world conditions.
Traditionally, emotion recognition has been performed on laboratory
controlled data. While undoubtedly worthwhile at the time, such lab
controlled data poorly represents the environment and conditions faced in
real-world situations. With the increase in the number of video clips
online, it is worthwhile to explore the performance of emotion recognition
methods that work ‘in the wild’. There are two sub-challenges: audio-video
based emotion recognition in videos and group-level emotion recognition in
the images (new).
Timeline:
Train and validate data - available now
Test data available: 8 July 2017
Last date for uploading the results: 23 July 2017
Paper submission deadline: 10 August 2017
Notification: 1 September 2017
Camera-ready papers: 21 September 2017
Organisers
Abhinav Dhall, Roland Goecke, Jyoti Joshi, Jesse Hoey and Tom Gedeon
Contact
emotiw2014(a)gmail.com
--
Abhinav Dhall, PhD
Assistant Professor,
Indian Institute of Technology Ropar
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Fully Funded PhD Studentship at the University of Winchester, UK
The position is open to both UK/EU and international students
Face and voice perception – towards an understanding of multimodal processing of emotion.
Applications are invited for a 3-year, fully funded PhD position under the supervision of Prof. Maria Uther, Dr. Daniel Gill and Dr. Jordan Randell.
Our research group is seeking a PhD student to take part in an exciting study of multimodal processing of emotion. The project is led by Prof. Uther (voice perception), Dr. Gill (face perception) and Dr. Jordan Randell (emotions and experimental methods) in the Department of Psychology.
Research on detection of emotion has historically focused on single modality (face or voices). However, a PhD would provide an ideal opportunity to explore the complementarity of visual (face) and auditory (voice) input in the perception of emotions and the interaction of information from both modalities. The project will involve innovative EEG/ERP and behavioural methods. Previous experience in EEG/ERP studies is not necessary. Training in computational and neuroscientific approaches would allow the student to develop practical and technical skills in this field.
Requirements
- Master degree in Psychology, Cognitive Science, Neuroscience, Biology, Computer Science, Statistics or related disciplines with excellent results.
- Fluency in English
For further instructions prospective students are required to contact Prof. Uther (maria.uther(a)winchester.ac.uk) or Dr. Gill (daniel.gill(a)winchester.ac.uk) by email no later than May 10th, 2017.
_________________________________
Dr Daniel Gill
Department of Psychology
Room HJB205
University of Winchester
Phone (office): +44 (0)1413301677
e-mail Daniel.Gill(a)winchester.ac.uk
[http://www.winchester.ac.uk/PublishingImages/Email%20signature%20March%2020…]
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guarantee in England and Wales number 5969256.
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