Dear All,
Please find below the invitation to contribute to the 3rd Workshop and Competition on Affective Behavior Analysis in-the-wild (ABAW) to be held in conjunction with the IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
(1): The Competition is split into four Challenges, which are based on Aff-Wild2 database (or a static version of it), which is the first comprehensive benchmark annotated for different affective tasks (dimensional and categorical ones). The four Challenges are:
* Valence-Arousal Estimation Challenge
* Expression Classification Challenge
* Action Unit Detection Challenge
* Multi-Task-Learning Challenge
Aff-Wild2 is an audiovisual in-the-wild database of 564 videos of around 2.8M frames.
Participants are invited to participate in at least one of these Challenges.
There will be one winner per Challenge; the top-3 performing teams of each Challenge will have to contribute paper(s) describing their approach, methodology and results to our Workshop; the accepted papers will be part of the CVPR 2022 proceedings; all other teams are also encouraged to submit paper(s) describing their solutions and final results; the accepted papers will be part of the CVPR 2022 proceedings.
More information about the Competition can be found here<https://ibug.doc.ic.ac.uk/resources/cvpr-2022-3rd-abaw/>.
Important Dates:
* Call for participation announced, team registration begins, data available:
20 January, 2022
* Final submission deadline:
16 March, 2022
* Winners Announcement:
18 March, 2022
* Final paper submission deadline:
25 March, 2022
* Review decisions sent to authors; Notification of acceptance:
1 April, 2022
* Camera ready version deadline:
8 April, 2022
Chairs:
Dimitrios Kollias, Queen Mary University of London, UK
Stefanos Zafeiriou, Imperial College London, UK
Viktoriia Sharmanska, University of Sussex, UK
Elnar Hajiyev, Realeyes - Emotional Intelligence
(2): The Workshop solicits contributions on the recent progress of recognition, analysis, generation and modelling of face, body, and gesture, while embracing the most advanced systems available for face and gesture analysis, particularly, in-the-wild (i.e., in unconstrained environments) and across modalities like face to voice. In parallel, this Workshop will solicit contributions towards building fair models that perform well on all subgroups and improve in-the-wild generalisation.
Original high-quality contributions, including:
- databases or
- surveys and comparative studies or
- Artificial Intelligence / Machine Learning / Deep Learning / AutoML / (Data-driven or physics-based) Generative
Modelling Methodologies (either Uni-Modal or Multi-Modal; Uni-Task or Multi-Task ones)
are solicited on the following topics:
i) "in-the-wild" facial expression or micro-expression analysis,
ii) "in-the-wild" facial action unit detection,
iii) "in-the-wild" valence-arousal estimation,
iv) "in-the-wild" physiological-based (e.g.,EEG, EDA) affect analysis,
v) domain adaptation for affect recognition in the previous 4 cases
vi) "in-the-wild" face recognition, detection or tracking,
vii) "in-the-wild" body recognition, detection or tracking,
viii) "in-the-wild" gesture recognition or detection,
ix) "in-the-wild" pose estimation or tracking,
x) "in-the-wild" activity recognition or tracking,
xi) "in-the-wild" lip reading and voice understanding,
xii) "in-the-wild" face and body characterization (e.g., behavioral understanding),
xiii) "in-the-wild" characteristic analysis (e.g., gait, age, gender, ethnicity recognition),
xiv) "in-the-wild" group understanding via social cues (e.g., kinship, non-blood relationships, personality)
xv) subgroup distribution shift analysis in affect recognition
xvi) subgroup distribution shift analysis in face and body behaviour
xvii) subgroup distribution shift analysis in characteristic analysis
Accepted workshop papers will appear at CVPR 2022 proceedings.
Important Dates:
Paper Submission Deadline: 25 March, 2022
Review decisions sent to authors; Notification of acceptance: 1 April, 2022
Camera ready version 8 April, 2022
Chairs:
Dimitrios Kollias, Queen Mary University of London, UK
Stefanos Zafeiriou, Imperial College London, UK
Viktoriia Sharmanska, University of Sussex, UK
Elnar Hajiyev, Realeyes - Emotional Intelligence
In case of any queries, please contact d.kollias(a)qmul.ac.uk<mailto:d.kollias@qmul.ac.uk>
Kind Regards,
Dimitrios Kollias,
on behalf of the organising committee
Kind Regards,
Dimitris
========================================================================
Dr Dimitrios Kollias
Lecturer (equivalent to Assistant Professor) in Artificial Intelligence
School of EECS
Queen Mary University of London
========================================================================
Dear All,
I would appreciate it if you`d propagate the following opportunity.
The Institute of Psychology at the University of Pecs, Hungary, has started
a PhD program for international students. During the program, among other
possibilities, students can join research that aims to extend our knowledge
about the cognitive and neural background of face perception. We`re
particularly interested in how semantic knowledge about a person interacts
with affective processes. The students will have access to the following
equipment in our lab:
- device for accurate reaction time measurement (cedrus)
- eye-tracker (Toobi XT300)
- physiological measurements (BIOPAC modules: EDA, heart rate, respiration
rate, EMG etc)
- EEG, fMRI
Please note that there is a tuition fee (3500 euros per semester in the
first and second year, and 2500 euros per semester in the third and fourth
year). However, students from selected countries (mainly from Asia, Africa,
and South America) may apply for a *scholarship* by the *Stipendium
Hungaricum* which covers both tuition fee and costs of living. The list of
eligible countries can be found here:
https://stipendiumhungaricum.hu/partners/
There is still three weeks until the application deadline for the
scholarship (15.01.2022.) The deadline for the program without Stipendium
Hungaricum scholarship is 31.01.2022.
Details about the program:
https://international.pte.hu/study-programs/phd-psychology
<https://international.pte.hu/study-programs/phd-psychology>
PhD in Psychology
<https://international.pte.hu/study-programs/phd-psychology>
Faculty of Humanities and Social Sciences At the University Pécs you may
study psychology at doctoral level. This can help you start a career at
academic institutions, private or state-own research companies, or
for-profit businesses, where you can transfer your broad knowledge into an
applied field.
international.pte.hu
<https://psychology.pte.hu/>
Informal enquiries can be sent to kocsor.ferenc(a)pte.hu. Students with a
background in psychology, biology, or other related fields, are welcome to
apply.
best regards
*Ferenc Kocsor, PhD*
Institute of Psychology
Faculty of Humanites and Social Sciences
University of Pécs
Hungary
**Apologies for cross-posting**
**Please kindly forward this message on to your colleagues and those who might be interested.**
[cid:9f039198-0d28-4210-b211-0679565097d0]
ISRE 2022 in person: Submission Deadline November 21, 2021
We are now accepting submissions and pre-conference proposals for the bi-annual ISRE (International Society for Research on Emotion) conference. The conference will take place in-person on the 15-18th of July 2022 on the campus of the University of Southern California, Los Angeles USA.
The ISRE conference is an exciting opportunity to meet international colleagues, present your work, and to stay up-to-date with the latest developments in emotion research. ISRE members study emotions from a wide range of disciplines including psychology, neuroscience, philosophy, sociology, linguistics, affective computing, history, anthropology, art and design. The ISRE conference 2022 will include keynote addresses by Antonio Damasio, Barbara Fredrickson and Eran Halperin.
If you would like to contribute to the ISRE conference by presenting your research, we invite you to submit an abstract of max. 250 words by November 21, 2021. Submissions are welcome from scholars in all relevant disciplines for symposia (of up to four talks and a discussant, or 5 talks), individual talks, and posters. Symposia are encouraged to include more than one discipline to facilitate cross-disciplinary exchange. Upload your contribution at the ISRE 2022 conference website (http://isre22.org<http://isre22.org/>). Please consult the guidelines on the website before preparing your contribution as submissions are subject to blind review and there are limits on the number of submissions from a single individual.
If you would like to organize a pre-conference, we will be accepting proposals up untilNovember 30, 2021. Please email a 1 page PDF proposal to the pre-conference chairs, Gale Lucas (lucas(a)ict.usc.edu<mailto:lucas@ict.usc.edu>) and Rachael Jack (Rachael.Jack(a)glasgow.ac.uk<mailto:Rachael.Jack@glasgow.ac.uk>). Proposals should include names and affiliation of the organizers, a 400 word max description and provisional line-up of speakers and topics.
All abstracts will be subject to blind peer review by an international scientific committee; accepted abstracts will be published in the conference program. Notification of acceptance decisions will be communicated in February 2022. Online registration is expected to be available shortly after that.
We are looking forward to welcoming you in Los Angeles in July 2022!
Jonathan Gratch and Stacy Marsella
Organizers, ISRE 2022 Conference
Program Chairs
Agneta Fischer, University of Amsterdam
Mary Helen Immordino-Yang, University of Southern California
Pre-conference Chairs
Rachael Jack, University of Glasgow
Gale Lucas, University of Southern California
Program Committee
Agnes Moors, KU Leuven
Andrea Scarantino, Georgia State University
Ann Frenzel, Ludwig Maximilian University of Munich
Batja Mesquita, KU Leuven
Carien van Reekum, University of Reading
Christian von Scheve, Freie Universität Berlin
Colin Holbrook, University of California
Merced David Osher, American Institutes for Research
Desmond Ong, National University of Singapore
Elly Konijn, Vrije Universiteit Amsterdam
Eric Walle, University of California Merced
Erika Rosenberg, UC Davis, Center for Mind and Brain
Hillary Elfenbein, Washington University of St. Louis
Jacob Israelashvili, The Hebrew University of Jerusalem
Julien Deonna, University of Geneva
Karen Quigley, Northeastern University
Lisanne Pauw, University of Münster
Mariska Kret, Leiden University
Nathan Consedine, University of Aukland
Olivier Luminet, Université Catholique de Louvain
Peter Kuppens, KU Leuven
Piotr Winkielman, University of California San Diego
Roger Giner-Sorolla, University of Kent
Rui Sun, University of Amsterdam
SIdney D’Mello, University of Colorado, Boulder
Stephanie Jones, Harvard University
Tobias Brosch, University of Geneva
Ursula Hess, Humbolt University
Local Chair & Treasurer
Alesia Gainer, University of Southern California
Sponsorship Chair
Shri Narayanan, University of Southern California
Career Development Chair
Tanja Wingenbach, University of Zurich
Submission Chairs
James Hale, University of Southern California
Tobias Thejll-Madsen, University of Glasgow
Website Chair
Giselle Pu, Pennsylvania State University
Publicity Chair
Teerawat Monnor, University of Geneva
Prof. Rachael E. Jack, Ph.D.
Professor of Computational Social Cognition
Institute of Neuroscience & Psychology
School of Psychology
University of Glasgow
Scotland, G12 8QB
+44 (0) 141 330 5087
Two postdoctoral positions are immediately available in Dr. Yu's Computational & Cognitive Neuroscience Lab at University of California San Diego. Initial appointment is for one year, renewable for up to 2-3 years. One position is primarily in computational modeling of human learning and decision making. A second position is primarily at the intersection of AI/ML and natural intelligence, with the goal of extracting representational and computational principles that support intelligent behavior. Other possible topics include computational modeling of perception, face processing, active learning/sensing, economic decision making, and social cognition.
Dr. Yu’s lab applies modern machine learning and statistical tools to extract information processing principles that enable intelligent behavior, in particular how humans and other intelligent systems perform inference, learning, decision-making, and social interactions under conditions of uncertainty and non-stationarity.
Applicants should be committed to applying rigorous mathematical tools to model cognitive functions and/or their neural underpinnings. Experience or interest in carrying out human behavioral experiments (either in person or on Amazon M-Turk) and/or collaborating with other neuroimaging/neurophysiology laboratories is desirable.
Dr. Yu's lab is situated within the Cognitive Science department, and also affiliated with the Halıcıoğlu Data Science Institute, the Computer Science Department, the Neurosciences Graduate Program, and the Institute of Neural Computation. There are ample opportunities for collaborations with related groups across the UCSD main campus, the medical school, and the Salk Institute.
Interested candidates should send a research statement, along with a CV including publications, to Dr. Angela Yu (ajyu(a)ucsd.edu <mailto:ajyu@ucsd.edu>) with the subject “Postdoc Application”. The research statement should indicate which postdoc position the candidate is applying for, as well as how the candidate fits into Dr. Yu’s group. Two or more letters of references should be sent directly by the recommenders to ajyu(a)ucsd.edu <mailto:ajyu@ucsd.edu>. More information about Dr. Yu’s group can be found at https://www.cogsci.ucsd.edu/~ajyu <https://www.cogsci.ucsd.edu/~ajyu> .
--------------------------------------------
Angela Yu
Associate Professor
Dept. of Cognitive Science &
Halıcıoğlu Data Science Institute
UC San Diego
858-822-3317
http://www.cogsci.ucsd.edu/~ajyu
---------------------------------------------
Dear Colleagues,
The annual meeting of the Society for Affective Science (SAS) will be held in an all-virtual format between March 30 - April 2, 2022.
On behalf of the SAS membership and outreach committee, we encourage you and your trainees to attend. SAS is an excellent venue for learning about what’s new in affective science and presenting research. The interdisciplinary nature of the program is uniquely beneficial.
Below are exciting highlights of the upcoming meeting and opportunities for you and your trainees to submit abstracts for a virtual presentation. We invite submissions of your research and ideas.
I hope you will join us at the 2022 SAS virtual meeting!
All the best,
Tony
---------------------------------------
Anthony P. Atkinson, D.Phil.
Department of Psychology,
Durham University,
Science Site, South Road,
Durham, DH1 3LE, UK
a.p.atkinson(a)durham.ac.uk
SAS 2022 Call for Abstracts
The Society for Affective Science (SAS) is delighted to announce its call for abstracts to be considered for the 2022 Annual Conference, held in an all-virtual format between March 30th – April 2nd, 2022. This year’s extended format aims to facilitate international participation and account for schedule adjustments due to the continuing COVID-19 pandemic. Already confirmed speakers include Lisa Feldman Barrett, Wendy Berry Mendes, Batja Mesquita, Desmond Ong, and Amitai Shenhav.
Advancing Interdisciplinary Science
In line with our goal to facilitate interdisciplinarity, we welcome submissions from across the domain of affective science including anthropology, business, computer science, cultural studies, economics, education, geography, history, integrative medicine, law, linguistics, literature, neuroscience, philosophy, political science, psychiatry, psychology, public health, sociology, theater, and more.
Abstract Submissions
IMPORTANT: Abstracts are changing this year!
All single presenter submissions (posters and flash talks, described below) will require a 1600-character abstract for evaluation and a brief 400-character summary for the conference program.
Symposia submissions (described below) will require individual 1600-character abstracts of each talk for evaluation and brief 400-character summaries for the conference program, as well as a single symposium overview abstract of 1600-characters for evaluation and a brief 400-character summary of the session.
Note: All character counts include spaces and are indicate the maximum length. Detailed abstract submission instructions will be posted to the website <https://society-for-affective-science.org/conferences/2022-sas-annual-confe…>.
Authors of highly-ranked submissions may be invited to submit an optional extended abstract, to be considered for publication in a supplement of our journal Affective Science. IMPORTANT: This does NOT preclude the work from being submitted/published as a full paper in anotherany scientific outlet.
FOUR submission types:
Poster: New Idea - Showcasing a new research idea, complete with planned experimental designs and analysis approach(es). Data are not required, but pilot data for proof of concept are welcome. Work already pre-registered in another platform is admissible. New theoretical contributions are also welcome in this category.
Poster: New Results - Showcasing the latest new findings in affective science based on quantitative and/or qualitative data collected and analyzed. We welcome and encourage preliminary work!
Thematic Flash Talk - Showcasing the latest findings based on quantitative and/or qualitative data already collected and analyzed or new theoretical contributions in affective science.
Symposium - Set of talks providing an in-depth perspective on individual research areas/topics within affective science. Sessions can be comprised of 3 talks with a discussant or 4 talks without a discussant. All symposia must be chaired. Symposia will be part of SAS for the first time in 2022!
No fee to submit an abstract. The fee structure for conference registration will be announced on the website <https://society-for-affective-science.org/conferences/2022-sas-annual-confe…> by mid-October 2021.
We encourage submissions from authors at all career stages.
Submission Deadline
Abstracts must be submitted by Monday, November 22nd, 2021 at 11:59 p.m. Baker Island Time (BIT; UTC-12 — last time zone on earth) to be considered for inclusion in the program.
Submission Review Process
Abstracts will be evaluated based on scholarly merit by a double-blind peer review process with our Abstract Review Board. Notification of acceptance or rejection of abstracts will be e-mailed to the corresponding author by the end of January 2022. Presenters must be the corresponding author on the submitted abstract. All presenters must register and pay to attend the meeting.
Conference Awards
Poster and Flash Talk abstracts with trainees (i.e., postdoctoral fellow, graduate student, post-baccalaureate, undergraduate student) as the presenting author will be considered for an award, which will be announced at the conference during the closing ceremony.
Questions?
For abstract submissions, please contact the Abstracts Committee Communications Lead, Katherine Aumer at kaumer(a)hawaii.edu <mailto:kaumer@hawaii.edu>. For any other SAS 2022 conference related questions, please contact the Program Co-Chairs, Stephanie Carpenter at smcarpen(a)umich.edu <mailto:smcarpen@umich.edu> and Maria Gendron at maria.gendron(a)yale.edu <mailto:maria.gendron@yale.edu>.
For more updates, watch our website <https://society-for-affective-science.org/> and follow us on Twitter (@affectScience)!
SUBMISSION PORTAL OPENING THIS WEEK!
**Apologies for cross-posting**
[cid:f567c3fd-0ed8-47bd-85a5-8bd4702ecfef]
ISRE 2022 in person: Hold the Date!
We are happy to announce the call for submissions and for pre-conference proposals for the biennial ISRE (International Society for Research on Emotion) conference. The conference will take place in-person on the 15-18th of July 2022 at the University of Southern California, Los Angeles USA.
The ISRE conference is an exciting opportunity to meet international colleagues, present your work, and to stay up-to-date with the latest developments in emotion research. ISRE members study emotions from a wide range of disciplines including psychology, neuroscience, philosophy, sociology, linguistics, affective computing, history, anthropology, art and design. The ISRE conference 2022 will include keynote addresses by Antonio Damasio, Barbara Fredrickson and Eran Halperin.
If you would like to contribute to the ISRE conference by presenting your research, we invite you to submit an abstract of max. 250 words byNovember 21, 2021 (end-of-day for all time zones). Submissions are welcome from scholars in all relevant disciplines for symposia (of up to four talks and a discussant, or 5 talks), individual talks, and posters. Symposia are encouraged to include more than one discipline to facilitate cross-disciplinary exchange. Talks will be 15 minutes long. Abstracts should be submitted online at the ISRE 2022 conference website (http://isre22.org). Submissions will open later this October. Please consult the guidelines on the website before preparing your submission.
If you would like to organize a pre-conference, we will be accepting proposals up until November 30, 2021. Please submit a 1 page PDF proposal to the pre-conference chairs, Gale Lucas (lucas(a)ict.usc.edu<mailto:lucas@ict.usc.edu>) and Rachael Jack (Rachael.Jack(a)glasgow.ac.uk<mailto:Rachael.Jack@glasgow.ac.uk>). Proposals should include names and affiliation of the organizers, a 400 word max description and provisional line-up of speakers and topics.
All abstracts will be subject to peer review by an international scientific committee; accepted abstracts will be published in the conference program. Notification of acceptance decisions will be communicated in February 2015. Online registration is expected to be available shortly after that.
We are looking forward to welcoming you in Los Angeles in July 2022!
Jonathan Gratch and Stacy Marsella
Organizers, ISRE 2022 Conference
** Apologies for cross-posting **
We are happy to announce that the call for submissions for pre-conferences held in concert with the biennial ISRE (International Society for Research on Emotion) conference is now open. Pre-conferences will be held on 15th of July 2022 at the University of Southern California, USA.
The main ISRE conference and associated pre-conferences each provide exciting opportunities to meet international colleagues, present your work, and stay up-to-date with the latest developments in emotion research. ISRE members study emotions from a wide range of disciplinary perspectives, including psychology, neuroscience, philosophy, sociology, linguistics, affective computing, history, anthropology, and design (http://isre22.org<https://urldefense.com/v3/__http:/isre22.org/__;!!LIr3w8kk_Xxm!8Dw90of93gj8…>).
ISRE2022 welcomes pre-conference proposals on any topic related to the field of emotion science. Previous pre-conferences include (but are not limited to) Affective Computing, Emotion Development, Social Dimensions of Emotion, and Culture and Emotions.
If you would like to submit a proposal for an ISRE conference, please prepare a 1 page PDF that includes:
1. Title of pre-conference
2. Names of organizers each with affiliations and contact details
3. Summary (up to 400 words) describing the key questions, relevance to emotion science, and the aims of the symposium
4. Provisional line-up of the speakers and their topics
Please send your submission by email to Gale Lucas at lucas(a)ict.usc.edu<mailto:lucas@ict.usc.edu> with the subject heading ‘ISRE2022 Preconference Proposal’ by 30th November 2021 11:59 pm International Date Line West (IDLW; UTC-12). Confused by timezone conversions? Check out worldtimebuddy<https://urldefense.com/v3/__https:/www.worldtimebuddy.com/__;!!LIr3w8kk_Xxm…> (don’t forget to select the date 30 November 2021).
ISRE2022 will host a maximum of 6 pre-conferences. All proposals will be reviewed by the pre-conference chairs, Gale Lucas and Rachael Jack and will be evaluated on the following criteria: (a) relevance to emotion science, (b) interest to the ISRE community, (c) the novelty/groundbreaking nature of the topic, and (d) potential to advance knowledge and stimulate new lines of research.
IMPORTANT DATES:
Deadline for pre-conference proposal submissions: 30th November 2021 11:59 pm IDLW
Decision outcomes announced: Early December 2021
Questions? Please contact Gale Lucas at lucas(a)ict.usc.edu<mailto:lucas@ict.usc.edu> or Rachael Jack Rachael.Jack(a)glasgow.ac.uk<mailto:Rachael.Jack@glasgow.ac.uk>.
We are looking forward to welcoming you!
Gale Lucas and Rachael Jack
Prof. Rachael E. Jack, Ph.D.
Professor of Computational Social Cognition
Institute of Neuroscience & Psychology
School of Psychology
University of Glasgow
Scotland, G12 8QB
+44 (0) 141 330 5087
Dear Colleagues,
We are conducting a meta-analysis on the body inversion effect, which reflects the difference in recognition between upright and inverted body stimuli. Our goal is to provide a summary of this effect, including the magnitude and moderating factors that influence the effect.We are seeking unpublished data from studies that meet the following criteria:
1. Neurotypical participants completed a visual body perception/recognition task that include upright and inverted conditions.
2. Body stimuli are human bodies (either computer generated or real images)
3. Outcome measures of perception/recognition were collected for both upright and inverted conditions. These may include behavioral accuracy (% correct, hit rate), electrophysiological data (e.g., N170 signal), or neuroimaging data.
If you have data that fit these criteria and you would like to share your data to be included in our synthesis, please contact Flora Oswald (feo5020(a)psu.edu<mailto:feo5020@psu.edu>) by October 18, 2021.
Thank you and best wishes,
Flora Oswald
Flora Oswald, M.S (she/her)
SSHRC Doctoral Fellow
Underrepresented Perspectives Lab<https://jmatsick.wixsite.com/uplab>, Social Vision & Interpersonal Perception Lab<https://sites.google.com/site/socialviplab/>
Departments of Psychology & Women's, Gender, and Sexuality Studies
The Pennsylvania State University
Dear All,
I would appreciate it if you`d propagate the following opportunity.
The Institute of Psychology at the University of Pecs, Hungary, has started
a PhD program for international students. During the program, among other
possibilities, students can join a research that aims to extend our
knowledge about the cognitive and neural background of face perception.
We`re particularly interested in how semantic knowledge about a person
interacts with affective processes. The student will have access to the
following equipment in our lab:
- device for accurate reaction time measurement (cedrus)
- eye-tracker (Toobi XT300)
- physiological measurements (BIOPAC modules: EDA, hearth rate, respiration
rate, EMG etc)
- EEG, fMRI
Please note that there is a tuition fee (3500 euros per semester in the
first and second year, and 2500 euros per semester in the third and fourth
year). However, students from selected countries (mainly from Asia, Africa,
and South America) may apply for a *scholarship* by the *Stipendium
Hungaricum* which covers both tuition fee and costs of living. The list of
eligible countries can be found here:
https://stipendiumhungaricum.hu/partners/
Details about the programme will appear soon at the following sites:
https://btk.pte.hu/enhttps://psychology.pte.hu/
Until then, informal enquiries can be sent to kocsor.ferenc(a)pte.hu.
Students with a background in psychology, biology, or other related fields,
are welcome to apply.
best regards
*Ferenc Kocsor, PhD*
Institute of Psychology
Faculty of Humanites and Social Sciences
University of Pécs
Hungary
psychology.pte.hu <https://psychology.pte.hu/ferenc-kocsor-phd>
Dear colleagues,
We are organizing a special session on “Applications in Healthcare and
Health Monitoring” in conjunction with the 16th IEEE Conference on
Automatic Face and Gesture Recognition to be held between 15th-18th
December 2021 in Jodhpur, India (Hybrid Event). Kindly find the related
call for papers below.
*Important dates*
Papers submission deadline: 20 August 2021
Decisions: 25 September 2021
Final camera-ready papers: 20 October 2021
*Submission instructions* can be found at
*http://iab-rubric.org/fg2021/submission.html
<http://iab-rubric.org/fg2021/submission.html>*.
*For submission* log into *https://cmt3.research.microsoft.com/fg2021/*
<https://cmt3.research.microsoft.com/fg2021/>, proceed to “create new
submission”. Select “special session track and subject area” as
“Applications in Healthcare and Health Monitoring”.
Accepted papers will be included in FG2021 proceedings and will appear in
the IEEE Xplore digital library,
Please feel free to contact us for any further details. Kindly disseminate
this email to others who might be interested.
We look forward to your contributions.
Abhijit Das (Thapar University, India)
Babak Taati (University of Toronto, Canada)
Antitza Dantcheva (INRIA, France)
Diedo Guarin (Florida Institute of Technology, USA)
Srijan Das (Stony Brook University, USA)
Andrea Bandini (University of Toronto, Canada)
Hu Han (CAS, China)
Yana Yunusovva (University of Toronto, Canada)
François Brémond (INRIA, France)
Xilin Chen (CAS, China)
--------------------------------------------------------------------------------------------
*Call for paper for FG 2021 special session *
*on *
*Applications in Healthcare and Health Monitoring*
-----------------------------------------------------------------------------------
Automated Human Health Monitoring Based on Computer Vision has gained rapid
Automated Human Health Monitoring Based on Computer Vision has gained rapid
scientific attention in the last decade, fueled by many research articles
and commercial systems. Recently, the COVID-19 pandemic has pushed the need
for virtual diagnosis and monitoring health protocols such as regulating
social distancing, surveillance of individuals wearing masks in-crowd,
gauging body temperature and other physiological measurements from
distance. Consequently, researchers from computer vision, as well as from
the medical science community have given significant attention to goals
ranging from patient analysis and monitoring to diagnostics (e.g., for
dementia, depression, healthcare, physiological measurement, rare
neurologic diseases). Moreover, healthcare represents an area of broad
economic, social, and scientific impact. The goal of this special session
is to bring together researchers and practitioners working in this area of
computer vision and medical science and to address a wide range of
theoretical and practical issues related to real-life healthcare systems.
We especially invite papers resulting from collaboration between technical
and clinical experts. Hence, this FG Special Session represents a venue for
fostering these collaborations, providing a unique and welcoming
environment for transdisciplinary research that is sometimes labelled as
being “too clinical” by technical journals or “too technical” by clinical
journals.
Topics of interest include, but are not limited to:
Health monitoring based on face analysis,
Health monitoring based on gesture analysis,
Health monitoring based corporeal-based visual features,
Depression analysis based on visual features,
Face analytics for human behaviour understanding,
Anxiety diagnosis based on face and gesture,
Physiological measurement employing face analytics,
Databases on health monitoring, e.g., depression analysis,
Augmentative and alternative communication,
Human-robot interaction,
Home healthcare,
Technology for cognition,
Automatic emotional hearing and understanding,
Visual attention and visual saliency,
Assistive living,
Privacy-preserving systems,
Quality of life technologies,
Mobile and wearable systems,
Applications for the visually impaired,
Sign language recognition and applications for hearing impaired,
Applications for the ageing society,
Personalized monitoring,
Egocentric and first-person vision,
Assessing physical and/or cognitive ability based on face and body
movement analysis,
Orofacial assessment in clinical populations,
Hand function assessment in clinical populations,
Assessment of gait and/or balance,
Assistive technology,
Applications to improve health and wellbeing of children and elderly.
[image: image.gif]
Dear all
I hope you're all well.
I was wondering if there was anyone who would be willing to send me some composite facial images I can use for my book chapter. Ideally it would eb great if there were soe from different systems, e.g. EFIT V, EvoFit, versus the older system EFIT, PhotoFit, Faces etc... I am trying to demonstrate the newer holistic systems create more life-like and recognisable composites compared to the older feature based systems.
Also if anyone has specific examples of composites that have successfully been used by the police and have led to arrests/convictions it would be really great if I could include one of those too.
I will of course reference the images, and/or the paper you may have included them in already in my book and give you full credit.
If you need any more details about the book chapter, please do get in touch and I'll be happy to provide them
All the best,
Trina
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[cid:image002.png@01D778AC.060CD010]
Dr Catriona Havard| Senior Lecturer in Psychology
The Open University, Walton Hall, Milton Keynes, MK7 6AA
To see a selection of my papers please visit http://www.open.ac.uk/people/ch22572
[cid:image003.png@01D778AC.060CD010]<https://www.facebook.com/theopenuniversity.OUFASSstudents/>[cid:image004.png@01D778AC.060CD010]<https://twitter.com/OU_FASS>[cid:image005.png@01D778AC.060CD010]<https://www.instagram.com/ou_fass/>[youtube_circle_red]<https://www.youtube.com/channel/UCC--E90gra2WwUHZRPrXtuA>
[cid:image007.jpg@01D778AC.060CD010]
From: Ailsa E Millen
Sent: 06 July 2021 16:07
To: face-research-list(a)lists.stir.ac.uk<mailto:face-research-list@lists.stir.ac.uk>.
Subject: Postdoctoral Research Fellow Vacancy
Dr Ailsa Millen is offering a full-time, fixed-term Postdoctoral Research Fellow position to work on the ESRC project 'Identifying Novel Markers of Concealed Face Recognition' https://www.stir.ac.uk/about/work-at-stirling/list/details/?jobId=2584&jobT… starting August 2021 (or as soon as possible thereafter). Ailsa is seeking an excellent postdoctoral research fellow to conduct experiments combining eye-tracking, skin conductance, facial expressions and vocal cues. Excellent programming and analysis skills are essential. A crucial aspect of this role is to streamline the completion of the existing ESRC grant by taking over programming, data analysis, and manuscript writing so these skills are essential prior to starting. The project aims to further our understanding of how our brains recognise faces and find ways to help the police detect crime (www.conface.org<https://eur03.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.confac…>). The post is initially for 10 months but we will request an extension three months prior to the June 2022 end date.
Enquiries to ailsa.millen(a)stir.ac.uk
Dr Ailsa E. Millen (she/her)
Lecturer in Psychology
University of Stirling
Phone: + 44 (0) 1786 466372
Twitter @ailsamillen
Staff page: https://www.stir.ac.uk/people/255892
Project page: www.conface.org<https://eur03.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.confac…> @confacedotorg
Leader of The Cognition Research Group @corgis_uos
I aim to reply within 3 working days. My messages may arrive outside of the working day, but this does not imply any expectation that you should reply outside of your normal working hours. If you wish to respond, please do so when convenient.
Latest papers
Many Labs 5: Testing Pre-Data-Collection Peer Review as an Intervention to Increase Replicability (2020). Advances in Methods and Practices in Psychological Science. https://doi.org/10.1177/2515245920958687<https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fdoi.org%2…>
Many Labs 5: Registered Replication Report of Crosby, Monin & Richardson (2008) (2020). Advances in Methods and Practices in Psychological Science. https://doi.org/10.1177/2515245919870737<https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fdoi.org%2…>
Eye spy a liar: Assessing the utility of eye fixations and confidence judgments for detecting concealed recognition of people, places and objects (2020). Cognitive Research: Principles and Implications. https://rdcu.be/b6g6X<https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Frdcu.be%2…>
Registered Replication Report on Fischer, Castel, Dodd, and Pratt (2003) (2020). Advances in Methods and Practices in Psychological Science. https://doi.org/10.1177/2515245920903079<https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fdoi.org%2…>
Eye see through you! Eye tracking unmasks concealed face recognition despite countermeasures (2019). Cognitive Research: Principles and Implications. https://rdcu.be/bNlKn<https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Frdcu.be%2…>
Latest papers:
________________________________
The University achieved an overall 5 stars in the QS World University Rankings 2020
UK Sports University of the Year 2020 (Times Higher Good University Guide)
The University of Stirling is a charity registered in Scotland, number SC 011159.
Dear colleagues,
We are organizing a special session on “Applications in Healthcare and
Health Monitoring” in conjunction with the 16th IEEE Conference on
Automatic Face and Gesture Recognition to be held between 15th-18th
December 2021 in Jodhpur, India (Hybrid Event). Kindly find the related
call for papers below.
*Important dates*
Papers submission deadline: 1 August 2021
Decisions: 25 September 2021
Final camera-ready papers: 20 October 2021
*Submission instructions* can be found at
*http://iab-rubric.org/fg2021/submission.html
<http://iab-rubric.org/fg2021/submission.html>*.
*For submission* log into *https://cmt3.research.microsoft.com/fg2021/*
<https://cmt3.research.microsoft.com/fg2021/>, proceed to “create new
submission”. Select “special session track and subject area” as
“Applications in Healthcare and Health Monitoring”.
Accepted papers will be included in FG2021 proceedings and will appear in
the IEEE Xplore digital library,
Please feel free to contact us for any further details. Kindly disseminate
this email to others who might be interested.
We look forward to your contributions.
Abhijit Das (Thapar University, India)
Babak Taati (University of Toronto, Canada)
Antitza Dantcheva (INRIA, France)
Diedo Guarin (Florida Institute of Technology, USA)
Srijan Das (Stony Brook University, USA)
Andrea Bandini (University of Toronto, Canada)
Hu Han (CAS, China)
Yana Yunusovva (University of Toronto, Canada)
François Brémond (INRIA, France)
Xilin Chen (CAS, China)
--------------------------------------------------------------------------------------------
*Call for paper for FG 2021 special session *
*on *
*Applications in Healthcare and Health Monitoring*
-----------------------------------------------------------------------------------
Automated Human Health Monitoring Based on Computer Vision has gained rapid
Automated Human Health Monitoring Based on Computer Vision has gained rapid
scientific attention in the last decade, fueled by many research articles
and commercial systems. Recently, the COVID-19 pandemic has pushed the need
for virtual diagnosis and monitoring health protocols such as regulating
social distancing, surveillance of individuals wearing masks in-crowd,
gauging body temperature and other physiological measurements from
distance. Consequently, researchers from computer vision, as well as from
the medical science community have given significant attention to goals
ranging from patient analysis and monitoring to diagnostics (e.g., for
dementia, depression, healthcare, physiological measurement, rare
neurologic diseases). Moreover, healthcare represents an area of broad
economic, social, and scientific impact. The goal of this special session
is to bring together researchers and practitioners working in this area of
computer vision and medical science and to address a wide range of
theoretical and practical issues related to real-life healthcare systems.
We especially invite papers resulting from collaboration between technical
and clinical experts. Hence, this FG Special Session represents a venue for
fostering these collaborations, providing a unique and welcoming
environment for transdisciplinary research that is sometimes labelled as
being “too clinical” by technical journals or “too technical” by clinical
journals.
Topics of interest include, but are not limited to:
Health monitoring based on face analysis,
Health monitoring based on gesture analysis,
Health monitoring based corporeal-based visual features,
Depression analysis based on visual features,
Face analytics for human behaviour understanding,
Anxiety diagnosis based on face and gesture,
Physiological measurement employing face analytics,
Databases on health monitoring, e.g., depression analysis,
Augmentative and alternative communication,
Human-robot interaction,
Home healthcare,
Technology for cognition,
Automatic emotional hearing and understanding,
Visual attention and visual saliency,
Assistive living,
Privacy-preserving systems,
Quality of life technologies,
Mobile and wearable systems,
Applications for the visually impaired,
Sign language recognition and applications for hearing impaired,
Applications for the ageing society,
Personalized monitoring,
Egocentric and first-person vision,
Assessing physical and/or cognitive ability based on face and body
movement analysis,
Orofacial assessment in clinical populations,
Hand function assessment in clinical populations,
Assessment of gait and/or balance,
Assistive technology,
Applications to improve health and wellbeing of children and elderly.
INVITATION to the International Association of Craniofacial Identification (IACI)
One-day Symposium - 23 July 2021
The IACI conference in Liverpool has been postponed to July 2022 due to the continued pandemic. However, we will be hosting a one-day online symposium as an IACI free taster event on 23 July 2021, 10am - 15:30pm BST.
The theme of the event will be:
'Race and Face: bias in forensic and archaeological investigation'
Keynote speakers will be:
* Race and Forensic Investigation - Prof Amade M'Charek, University of Amsterdam
* Race and Facial Recognition Algorithms - Dr Jonathon Phillips, National Institute of Standards and Technology's Information Technology Laboratory
* Race and Super-recognisers - Dr Josh Davis, University of Greenwich
* Race and Forensic Genetics - Dr David Skinner, Anglia Ruskin University
* Historical ethnographic craniofacial collections - Dr Tobias Houlton, University of Dundee
There will be an online poster event and the opportunity for some short presentations on any of the following topics:
Facial identification of the dead
* Facial reconstruction/approximation
* Craniofacial anatomy
* Craniofacial superimposition
* Depiction of preserved remains for museum exhibition
* Ethical issues relating to the presentation of faces of the dead
* DNA analysis for facial depiction of skeletal remains
* Migrant disaster victim identification
* CGI and animation
Facial identification of the living
* Age progression
* Eyewitness composites
* DNA-to-face
* Facial recognition
* CCTV analysis
* Facial morphing and deep fakes
If you would like to present a short paper or poster at this symposium, please submit an abstract with your name and affiliation to facelab(a)ljmu.ac.uk<mailto:facelab@ljmu.ac.uk> by 1 July 2021.
Details of how to access the symposium will be sent out at a later date.
Please forward this to any interested parties.
Dr Sarah Shrimpton BA (Hons), MSc, AFHEA, PhD
Research Assistant, Face Lab
IC1 Liverpool Science Park, 131 Mount Pleasant, Liverpool, L3 5TF
tel: 0151 482 9609 (Direct) or 0151 482 9605 (Lab)
email:s.l.shrimpton@ljmu.ac.uk<mailto:s.l.shrimpton@ljmu.ac.uk>
________________________________
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________________________________
The University achieved an overall 5 stars in the QS World University Rankings 2020
UK Sports University of the Year 2020 (Times Higher Good University Guide)
The University of Stirling is a charity registered in Scotland, number SC 011159.
GLASGOW FACE MATCHING TEST 2 (GFMT2)
A new psychometric test of face matching ability has been developed by UNSW Sydney and University of York and is freely available for scientific use.
White, D., Guilbert, D., Varela, V.P.L. Renkins, R., & Burton, A. M. (2021). GFMT2: A psychometric measure of face matching ability. Behavior Research Methods. https://doi.org/10.3758/s13428-021-01638-x
GFMT2 is a new expanded version of the original Glasgow Face Matching Test. Test forms include:
GFMT2-S: A short 80 item test with test-retest reliability over a week r = 0.774. There are two equally difficult 40-item forms for use in experimental intervention studies.
GFMT-Low: Specifically designed to target lower than average performers, suited for assessing acquired or developmental prosopagnosia.
GFMT2-High: Specifically designed to target higher than average performers, suited for assessing super-recognisers and certain professional groups.
Short tests do not contain repeating identities, nor items from the original GFMT. Image pairs now include variation in head angle, pose, expression and subject-to-camera distance, making the new test more difficult and more representative of challenges in everyday face identification tasks.
The publication is available here: https://rdcu.be/cm1YR
Executable versions of the test are available for PC and MAC via: www.gfmt2.org
A postdoctoral researcher position is available immediately at the Objects
and Knowledge Laboratory, headed by Dr. Olivia Cheung, at NYU Abu Dhabi (
http://www.oliviacheunglab.org/). The postdoctoral researcher will carry
out experiments on high-level vision (object/face/letter/scene recognition)
in humans using behavioral, fMRI, and computational methods. Potential
research projects include, but are not limited to, investigations of the
influences of experience and conceptual knowledge on visual recognition.
Applicants must have a Ph.D. in Psychology, Cognitive Neuroscience,
Cognitive Science, or a related field, and should possess strong
programming skills (e.g., R, Matlab, Python). Prior experience with
neuroimaging, computational, or psychophysical techniques is highly
preferred. Initial appointment is for two years, with the possibility of
renewal. Starting date is flexible, preferably by summer/early fall 2021.
The Objects and Knowledge Laboratory is part of the rapidly growing
Psychology department at NYU Abu Dhabi. The lab has access to the
state-of-the-art neuroimaging and behavioral facilities (including MRI,
MEG, eyetracking).
The terms of employment are very competitive, including relocation and
housing costs, and other benefits among which educational subsidies for
children. Informal inquiries regarding the position, university, or area,
are encouraged. To apply, individuals should email a curriculum vita, cover
letter, statement of research interests, the expected date of availability,
and contact information of two referees. All correspondence should be sent
to Olivia Cheung (olivia.cheung(a)nyu.edu).
The NYU Abu Dhabi campus is located on Saadiyat Island (Abu Dhabi’s
cultural hub), minutes away from the white sand beaches as well as the
world class entertainment, big city and nature activities that have made
the area one of the top ten tourist destinations in the world. More
information about living in Abu Dhabi can be found here:
https://nyuad.nyu.edu/en/campus-life/living-in-abu-dhabi.html
*About NYUAD:*
NYU Abu Dhabi is a degree-granting research university with a fully
integrated liberal arts and science undergraduate program in the Arts,
Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU
New York, and NYU Shanghai, form the backbone of NYU’s global network
university, an interconnected network of portal campuses and academic
centers across six continents that enable seamless international mobility
of students and faculty in their pursuit of academic and scholarly
activity. This global university represents a transformative shift in
higher education, one in which the intellectual and creative endeavors of
academia are shaped and examined through an international and multicultural
perspective. As a major intellectual hub at the crossroads of the Arab
world, NYU Abu Dhabi serves as a center for scholarly thought, advanced
research, knowledge creation, and sharing, through its academic, research,
and creative activities.
Hello colleagues,
I am recruiting a student for a fully funded, 3-year PhD studentship at Queen Margaret University, in collaboration with Edinburgh Napier University. The studentship will be supervised by me (Dr Jamal Mansour) at Queen Margaret University as well as Dr Alex McIntyre and Dr Faye Skelton of Edinburgh Napier University. The project is entitled "Reducing cross-race identification errors via the creation of a cross-race recognition training tool and a diagnostic test of cross-race recognition ability".
For more information about the project, please see here: https://www.qmu.ac.uk/ad/napier-collaborative-phds. Potential applicants are encouraged to contact me via email (jmansour(a)qmu.ac.uk) to discuss the project. Applications are due by Wednesday, June 16, 2021 and should be submitted to the Queen Margaret University Graduate School. Details of how to apply can be found here: https://www.qmu.ac.uk/study-here/how-to-apply/phd-and-professional-doctorat….
Could I ask you to please do circulate this opportunity via your relevant networks and share it with any potential candidates?
Very best wishes,
Jamal.
---------------------------------------------------------------------------------
Jamal K. Mansour, PhD
Senior Lecturer in Psychology
Psychology, Sociology, & Education
Queen Margaret University
Edinburgh, UK
EH21 6UU
Email: jmansour(a)qmu.ac.uk
Phone: +44 (0) 131 474 0000 and say my name (Jam-el Man-sir) when prompted
Fax: +44 (0) 131 474 0001
Web: https://www.qmu.ac.uk/schools-and-divisions/psychology-and-sociology/psycho…
Memory Research Group Web site: https://memoryresearchgroup.wordpress.com/
Twitter: @EyewitnessIDUp
Check out my new article on eyewitness identification confidence: https://www.sciencedirect.com/science/article/abs/pii/S2211368120300048
This message and its attachment(s) are intended for the addressee(s) only and should not be read, copied, disclosed, forwarded or relied upon by any person other than the intended addressee(s) without the permission of the sender. If you are not the intended addressee, you must not take any action based on this message and its attachment(s) nor must you copy or show them to anyone. If you have received this email in error, please inform the sender immediately and delete all copies of it.
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Queen Margaret University, Edinburgh is a registered charity: Scottish Charity Number SC002750.
Dear All,
Please find below the invitation to contribute to the 2nd Workshop and Competition on Affective Behavior Analysis in-the-wild (ABAW) to be held in conjunction with the International Conference on Computer Vision (ICCV) 2021.
(1): The Competition is split into three Challenges-Tracks, which are based on the same database, Aff-Wild2, which is the first comprehensive benchmark for the three affect recognition tasks in-the-wild:
* dimensional affect recognition (valence and arousal estimation)
* categorical affect classification (seven basic expression classification)
* facial action unit detection
Aff-Wild2 is an audiovisual in-the-wild database of 564 videos of around 2.8M frames.
Participants are invited to participate in one or more of these Challenges.
There will be one winner per Challenge-Track; the winners are expected to contribute a paper describing their approach, methodology and results; the accepted winning papers will be part of the ICCV 2021 proceedings; all other teams are also able to submit a paper describing their solutions and final results; the accepted papers will be part of the ICCV 2021 proceedings.
For more information about the challenge, see here<https://ibug.doc.ic.ac.uk/resources/iccv-2021-2nd-abaw/>.
Important Dates:
* Call for participation announced, team registration begins, data available:
12 May, 2021
* Final submission deadline:
10 July, 2021
* Winners Announcement:
11 July, 2021
* Final paper submission deadline:
21 July, 2021
* Review decisions sent to authors; Notification of acceptance:
10 August, 2021
* Camera ready version deadline:
17 August, 2021
Chairs:
Dimitrios Kollias, University of Greenwich, UK
Stefanos Zafeiriou, Imperial College London, UK
Irene Kotsia, Middlesex University London, UK
Elnar Hajiyev, Realeyes - Emotional Intelligence
(2): The Workshop solicits contributions on the recent progress of recognition, analysis, generation and modelling of face, body, and gesture, while embracing the most advanced systems available for face and gesture analysis, particularly, in-the-wild (i.e., in unconstrained environments) and across modalities like face to voice.
Original high-quality contributions, including:
- databases or
- surveys and comparative studies or
- Artificial Intelligence / Machine Learning / Deep Learning / AutoML / (Data-driven or physics-based) Generative
Modelling Methodologies (either Uni-Modal or Multi-Modal ones)
are solicited on the following topics:
i) "in-the-wild" facial expression or micro-expression analysis,
ii) "in-the-wild" facial action unit detection,
iii) "in-the-wild" valence-arousal estimation,
iv) "in-the-wild" physiological-based (e.g., EEG, EDA) affect analysis,
v) domain adaptation for affect recognition in the previous 4 cases
vi) "in-the-wild" face recognition, detection or tracking,
vii) "in-the-wild" body recognition, detection or tracking,
viii) "in-the-wild" gesture recognition or detection,
ix) "in-the-wild" pose estimation or tracking,
x) "in-the-wild" activity recognition or tracking,
xi) "in-the-wild" lip reading and voice understanding,
xii) "in-the-wild" face and body characterization (e.g., behavioral understanding),
xiii) "in-the-wild" characteristic analysis (e.g., gait, age, gender, ethnicity recognition),
xiv) "in-the-wild" group understanding via social cues (e.g., kinship, non-blood relationships, personality)
Accepted papers will appear at ICCV 2021 proceedings.
Important Dates:
Paper Submission Deadline: 21 July, 2021
Review decisions sent to authors; Notification of acceptance: 10 August, 2021
Camera ready version 17 August, 2021
Accepted workshop papers will appear at ICCV 2021 proceedings.
Chairs:
Dimitrios Kollias, University of Greenwich, UK
Stefanos Zafeiriou, Imperial College London, UK
Irene Kotsia, Middlesex University London, UK
Elnar Hajiyev, Realeyes - Emotional Intelligence
In case of any queries, please contact D.Kollias(a)greenwich.ac.uk
Kind Regards,
Dimitrios Kollias,
on behalf of the organising committee
===================================================
Dr Dimitrios Kollias
Senior Lecturer in Computer Science (Artificial Intelligence)
School of Computing and Mathematical Sciences
University of Greenwich
====================================================
University of Greenwich, a charity and company limited by guarantee, registered in England (reg no. 986729). Registered Office: Old Royal Naval College, Park Row, Greenwich SE10 9LS.
Dear colleagues
We are delighted to announce the opening of a 3-year ERC-funded postdoctoral position in the FaceSyntax lab (Director: Prof. Rachael Jack, University of Glasgow, Scotland). Application portal here: https://www.jobs.ac.uk/job/CFV656/research-assistant-associate; Deadline: 3 June 2021
Please share with your networks.
Many thanks
Prof. Rachael E. Jack, Ph.D.
Professor of Computational Social Cognition
Institute of Neuroscience & Psychology
School of Psychology
University of Glasgow
Scotland, G12 8QB
+44 (0) 141 330 5087
Dear colleagues,
We are inviting abstract submissions for a special session on “Artificial
Intelligence for Automated Human Health-care and Monitoring”, as part of
the 16th IEEE International Conference on Automatic Face and Gesture
Recognition (FG’21, http://iab-rubric.org/fg2021/), December 15-18, 2021.
Details on the special session follow below.
Title, abstract, list of authors, as well as the name of the corresponding
author should be emailed directly to Abhijit Das (abhijitdas2048(a)gmail.com).
Please submit your abstracts before Sunday, May 8th 2021. The expected
paper submission deadline will be on 1st August 2021.
Feel free to contact Abhijit Das, if you have any further questions.
Kindly circulate this email to others, who might be interested.
We look forward to your contributions!
Abhijit Das (Thapar University, India)
Antitza Dantcheva (Inria, France)
Srijan Das (Stony Brook University, USA)
François Brémond (Inria, France)
Xilin Chen (CAS, China)
Hu Han (CAS, China)
-------------------------------------------------------------------------------------
*Call for abstract for FG 2021 special session *
*on*
*Artificial Intelligence for Automated Human Health-care and Monitoring*
------------------------------------------------------------------------------------
Automated Human Health Monitoring Based on Computer Vision has gained rapid
scientific attention in the decade, fueled by a large number of research
articles and commercial systems based on a set of features, extracted from
face and gesture. Recently, the COVID-19 pandemic has pushed the need for
virtual diagnosis and monitoring health protocols (such as regulations for
social distancing, surveillance of individuals wearing the mask in-crowd,
gauging body temperature and other physiological measurements from
distance). Consequently, researchers from computer vision, as well as from
the medical science community have given significant attention to goals
ranging from patient analysis and monitoring to diagnostics (e.g., for
dementia, depression, general healthcare, physiological measurements, rare
neurologic diseases). Moreover, healthcare represents an area of broad
economic[1] <#_ftn1>, social, and scientific impact.
We aim to document recent advancements in automated healthcare, as well as
enable and discuss the progress. Therefore, the goal of this special
session is to bring together researchers and practitioners working in this
area of computer vision and medical science, and to address a wide range of
theoretical and practical issues related to real-life healthcare systems.
Topics of interest include, but are not limited to:
· Health monitoring based on face analysis,
· Health monitoring based on gesture analysis,
· Health monitoring based corporeal-based visual features,
· Depression analysis based on visual features,
· Face analytics for human behaviour understanding,
· Anxiety diagnosis based on face and gesture,
· Physiological measurement employing face analytics,
· Databases on health monitoring, e.g., depression analysis,
· Augmentative and alternative communication,
· Human-robot interaction,
· Home healthcare,
· Technology for cognition,
· Automatic emotional hearing and understanding,
· Visual attention and visual saliency,
· Assistive living,
· Privacy preserving systems,
· Quality of life technologies,
· Mobile and wearable systems,
· Applications for the visually impaired,
· Sign language recognition and applications for hearing impaired,
· Applications for the ageing society,
· Personalized monitoring,
· Egocentric and first-person vision,
· Applications to improve health and wellbeing of children and elderly.
------------------------------
[1] <#_ftnref1>
https://www.prnewswire.com/news-releases/healthcare-automation-market-to-re…
Dear All,
I would appreciate it if you`d propagate the following opportunity.
The Institute of Psychology at the University of Pecs, Hungary, is planning
to start a PhD program for international students. During the program,
among other possibilities, students can join a research that aims at
extending our knowledge about the cognitive background of face perception.
We`re particularly interested in how semantic knowledge about a person
interacts with affective processes. The student will have access to the
following equipment in our lab:
- device for accurate reaction time measurement (cedrus)
- eye-tracker (Toobi XT300)
- physiological measurements (BIOPAC modules: EDA, hearth rate, respiration
rate, EMG etc)
- EEG
Please note that there is a tuition fee (3500 euros per semester in the
first and second year, and 2500 euros per semester in the third and fourth
year). However, from the second year on, students from selected countries
may apply for a scholarship by the Stipendium Hungaricum which covers both
tuition fee and costs of living. The list of eligible countries can be
found here:
https://stipendiumhungaricum.hu/partners/
We are still waiting for the official approval of the PhD program from the
university administration, hence application will be possible only from
July. Until then, informal enquiries can be sent to kocsor.ferenc(a)pte.hu.
Students with a background in psychology, biology, or other related fields,
are welcome to apply.
best regards
*Ferenc Kocsor, PhD*
Institute of Psychology
Faculty of Humanites
University of Pécs
psychology.pte.hu <https://psychology.pte.hu/ferenc-kocsor-phd>
evolutionpsychology.com
<https://psychology.pte.hu/ferenc-kocsor-phd>
Dear colleagues
We are delighted to announce the opening of a 3-year fully funded PhD position in the FaceSyntax lab (Director: Prof. Rachael Jack, University of Glasgow, Scotland). Please find advert attached. Sharing widely would be greatly appreciated.
Best wishes,
Prof. Rachael E. Jack, Ph.D.
Professor of Computational Social Cognition
Institute of Neuroscience & Psychology
School of Psychology
University of Glasgow
Scotland, G12 8QB
+44 (0) 141 330 5087
** Postdoc opportunity ** for neuroscientists and/or neuro-enthusiast engineers
We are seeking to appoint a highly motivated, adventurous, interdisciplinary neuroscientist to help us understand how humans prioritise information in support of the decisions they make. We focus on visual perception, attention and individual differences, and will be using psychometrics assessments and psychophysics measurements as well as concurrent EEG-fMRI recording. Full time, fixed term for up to 24 months, with possibility of extension.
This role falls in the remit of CHAI, a new £2.4M research project funded by the UK EPSRC and led by the Internet of Things and Security Centre (ISEC) at the University of Greenwich, in collaboration with University College London (UCL), the University of Bristol and Queen Mary University of London, as well as industrial partners. As a follow up to the €1.5M EU project “Cocoon: Emotion psychology meets Cyber Security” (2016-2020) led by us, which measured and established how users of connected Internet-of-Things devices react to cyber security risks, “CHAI: Cyber Hygiene in AI-enabled domestic life” (2021-2024) examines the particular threats posed by Artificial Intelligence. CHAI addresses the challenge of figuring out how to best help users protect themselves against the security risks they will face in a world supported by AI (see: http://bit.ly/chai-introduction-video).
The role advertised relates to the fundamental research on human decision making that will inform the technical and pedagogical developments of our partners in the project. The remit is intentionally flexible to allow emerging opportunities for collaborations and includes funding for networking and training.
You will have:
- excellent computer and statistical skills, including a programming language (Python)
- experience analysing neuroimaging data, including EEG and/or fMRI
- the motivation to pursue research at the interface between academia and industry
This work will be carried out in the Centre for Integrative Neuroscience & Neurodynamics (CINN), in the School of Psychology and Clinical Language Sciences, at the University of Reading. CINN is a research platform currently gathering over 100 research staff and students. It is host to a research-dedicated 3T PRISMA Siemens MR scanner, MR compatible EEG (Brain Products) and TMS (MagVenture) equipments, eye-tracking and versatile computing clusters (incl. cloud management and GPUs), all of which available to the project.
Other research projects in the lab currently include the development of a novel Bayesian framework for the analysis of data in psychology and neuroscience, neuroimaging of visual perception and attention, as well as projects with industrial partners on topics as varied as machine learning and brain-computer interfaces for a wide range of sectors.
CINN and the School of Psychology are a tight-knit community, committed to open research and reproducibility, at the forefront of what is done in the UK in many ways. The post holder will have the opportunity to participate in many initiatives, and propose new ones, including training events on reproducibility, and best practices in neuroimaging, data analysis and coding, including Software Carpentry workshops.
The University of Reading was the first University in the UK to publicly commit to open research. It is one of the first institutional members of the UK Reproducibility Network, and a member of the data and software Carpentries. The University is signatory to the Leiden Manifesto for Research Metrics (http://leidenmanifesto.org), is committed to having a diverse and inclusive workforce, supports the gender equality Athena SWAN Charter and the Race Equality Charter, and is a Diversity Champion for Stonewall, the leading LGBT+ rights organisation in the UK. Applications for job-share, part-time and flexible working arrangements are welcomed and will be considered in line with the project’s needs.
Deadline: 19/4
Interviews (online): Early may
Informal inquiries to Etienne Roesch, e.b.roesch(a)reading.ac.uk
More information at: https://jobs.reading.ac.uk/displayjob.aspx?jobid=7590
Etienne
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dr. Etienne B. Roesch | Associate Professor of Cognitive Science | Univ. Reading
Deputy Director of Imaging, Centre for Integrative Neuroscience and Neurodynamics (CINN)
Programme Director, MSc Cognitive Neuroscience, School of Psychology and Clinical Language Sciences
meet: Book yourself in my University Outlook calendar
www: etienneroes.ch | osf.io/ede88 | github.com/eroesch | rdg.ac.uk/cinn
Dear colleagues,
We are happy to invite proposals for contributions to a forthcoming special issue “Bridging the gap between intergroup and face perception research: Understanding the mechanisms underlying the other-‘race’ effect” for the British Journal of Psychology (see https://bpspsychub.onlinelibrary.wiley.com/page/journal/20448295/homepage/c…)
Interested authors should initially submit a proposal (including title, prospective author(s), affiliation(s), abstract with 200 words maximum) to bjop(a)wiley.com<mailto:bjop@wiley.com> no later than 1 March 2021.
We look forward to receiving your proposal.
Best wishes,
Marleen Stelter (marleen.stelter(a)uni-hamburg.de<mailto:marleen.stelter@uni-hamburg.de>)
Stefan Schweinberger (stefan.schweinberger(a)uni-jena.de<mailto:stefan.schweinberger@uni-jena.de>)
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Dr. Marleen Stelter
Universität Hamburg
Department of Social Psychology
Von-Melle-Park 5 - 20146 Hamburg, Germany
Tel.: +49 (0) 40 42838-5530
UHH Personal <https://www.psy.uni-hamburg.de/arbeitsbereiche/sozialpsychologie/personen/s…> Webpage<https://www.psy.uni-hamburg.de/arbeitsbereiche/sozialpsychologie/personen/s…>
Call For Papers - Frontiers Research Topic: Affective Shared Perception
I. Aim and Scope
Our perception of the world depends on both sensory inputs and prior knowledge. This applies in general to sensing and has particular implications for affective understanding. Humans adapt their social and affective perception as a function of the current stimulation, of the context, of the history of the interaction, and as of the status of the partner. This influences their behavior, which in turn modifies the social and affective perception of both partners and the evolution of the interaction.
Understanding shared perception as part of affective processing will allow us to tackle this problem and to provide the next step towards a real-world affective computing system. The goal of this research topic is to present and discuss new findings, theories, systems, and trends in affective shared perception and computational models.
We are interested in collecting interesting and exciting research from researchers on the areas of social cognition, affective computing, and human-robot interaction, including also, but not restricted to specialists in computer and cognitive science, psychologists, neuroscientists, and specialists in bio-inspired solutions. We envision that it will allow us to tackle the existing problems in this area and it will provide the next step towards a real-world affective computing system.
II. Potential Topics
Topics include, but are not limited to:
- Affective perception and learning
- Affective modulation and decision making
- Developmental perspectives of shared perception
- Machine learning for shared perception
- Bio-inspired approaches for affective shared perception
- Affective processing for embodied and cognitive robots
- Multisensory modeling for conflict resolution in shared perception
- New psychological findings on shared perception
- Assistive aspects and applications of shared affective perception
III. Submission
- Abstract - 24 October 2020
- Paper Submission - 21 February 2021
IV. Guest Editors
Pablo Vinicius Alves De Barros, Italian Institute of Technology (IIT), Genova, Italy
Alessandra Sciutti, Italian Institute of Technology (IIT), Genova, Italy
Ginevra Castellano, Uppsala University, Uppsala, Sweden
Yukie Nagai, The University of Tokyo, Bunkyō, Japan
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Dr. Pablo Barros
Postdoctoral Researcher - CONTACT Unit
Istituto Italiano di Tecnologia – Center for Human Technologies
Via Enrico Melen 83, Building B 16152 Genova, Italy
email: pablo.alvesdebarros(a)iit.it
website: https://www.pablobarros.net<http://www.pablobarros.net><https://www.p>
twitter: @PBarros_br