June 2021 - Face-research-list - University of Stirling Mailing Lists

CFP: FGAHI@CVPR 2019, 2nd International Workshop on Face and Gesture Analysis for Health Informatics
by zakia hammal 01 Mar '23

01 Mar '23

Apologies for cross-posting *********************************************************************************** FGAHI 2019: CALL FOR PAPERS 2nd International Workshop on Face and Gesture Analysis for Health Informatics Accepted papers will be published at the CVF open access archive. Submission Deadline Extended: May 1st, 2019. The camera-ready deadline: May 15th, 2019. *********************************************************************************** The 2d International Workshop on Face and Gesture Analysis for Health Informatics (FGAHI 2019) will be held in conjunction with IEEE CVPR 2019 on June 16th - June 21st, Long Beach, CA. For details concerning the workshop program, paper submission, and guidelines please visit our workshop website at: http://fgahi2019.isir.upmc.fr/ Best regards, Zakia Hammal Zakia Hammal, PhD The Robotics Institute, Carnegie Mellon University http://www.ri.cmu.edu/ http://ri.cmu.edu/personal-pages/ZakiaHammal/

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Special session on Applications in Healthcare and Health Monitoring in conjunction with IEEE FG 2021, 15th-18th December 2021 at Jodhpur, India (Hybrid Event).
by ABHIJIT DAS 29 Jun '21

29 Jun '21

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.

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International Association of Craniofacial Identification symposium July 2021
by Peter Hancock 28 Jun '21

28 Jun '21

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> ________________________________ Important Notice: Liverpool John Moores University was established as a Higher Education Corporation under section 121 of the Education Reform Act 1988. Further information about Liverpool John Moores University can be found at https://www.ljmu.ac.uk/about-us The information in this email and any attachments is for the sole use of the intended recipient(s). If you are not an intended recipient, or a person responsible for delivering it to an intended recipient, you should delete it from your system immediately without disclosing its contents elsewhere and advise the sender by returning the email or by telephoning a number contained in the body of the email. No responsibility is accepted for loss or damage arising from viruses or changes made to this message after it was sent and the recipient must ensure that the email (and attachments) are virus free. The views contained in this email are those of the author and not necessarily those of Liverpool John Moores University. We will use the personal data information provided by you to respond to your email. For information about how we process personal data and monitor communications please see our Privacy Notice. https://www.ljmu.ac.uk/legal/privacy-and-cookies ________________________________ 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.

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Glasgow Face Matching Test 2 (GFMT2)
by David White 23 Jun '21

23 Jun '21

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

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Postdoctoral position at NYU Abu Dhabi (High-level vision)
by Olivia Cheung 11 Jun '21

11 Jun '21

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.

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