Face-research-list

face-research-list@lists.stir.ac.uk

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by Ferenc Kocsor

Dear All, I would appreciate it if you`d propagate the following opportunity among prospective students. 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 during recognition. The students will have access to the following equipment in our lab: - device for accurate reaction time measurements (cedrus) - eye-tracker (Toobi TX300) - physiological measurements (BIOPAC modules: EDA, heart rate, respiration rate, EMG etc) - EEG (brain products, 64 channel) - noldus observer For a limited number of students who are *EU-citizens *we can provide a *scholarship* that covers tuition fee and costs of housing. For citizens of other countries 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). The deadline for the application program is 15.06.2023 (with a possibility of extension), prior informal inquiries are advised. Details about the program: https://international.pte.hu/study-programs/phd-psychology Ferenc Kocsor, PhD, habil. senior researcher head of the international doctoral program e-mail: kocsor.ferenc(a)pte.hu

2 years, 1 month

Call for paper IJCB 2023 - Special Session on 3D Biometrics with Monocular Vision

by ABHIJIT DAS

In recent times digital biometrics is of immense importance in all spheres of life. Mostly the advances are in the direction of 3D biometrics and the face is the body part that is used mostly. Though face biometrics is one of the most used forms after fingerprint right now, it is also open to many kinds of presentation attack instruments. Presentation attack instruments are mainly videos, photographs or masks and many times expert impersonators with prosthetic makeup. The 3D face biometrics is sometimes strengthened with the ear, and in many cases, the ear alone is sufficient for the recognition of individuals. The ear is agnostic of expressions and thus easy to recognize but forging a plastic-based ear is also a lot easier than face. 3D ear recognition mitigates the effect to a consider- able extent. 3D vascular biometrics and palm-based biometrics have recently gained steam. Thus in many forms of human biometrics, 3D information is crucial. But the need for sophisticated and expensive hardware components works as a deterrent to its widespread adoption. To record and promote this area of this research we plan to host this special session. We invite practitioners, researchers, and engineers from biometrics, signal processing, computer vision, and machine learning fields to contribute their expertise to uplift the state-of-the-art. Topics of interest include but are not limited to • 3D shape capturing and reconstruction for the human body or body parts from monocular vision • 3D vasculature and palm-based biometrics from monocular vision • 3D ear biometrics from monocular vision • 3D air signature from monocular vision * Passive 3D Gait biometrics-based recognition from monocular vision • 3D face by the monocular vision for biometric application • Emotion and artifact agnostic 3D biometrics by monocular vision • Multimodal sensors for real-time 3D shape capturing • 3D face estimation with high occlusion and monocular camera • 3D information capture under low lighting conditions from the monocular camera • 3D biometrics from short videos • Advancement in inexpensive single-shot sensor technology for 3D biometrics capture Submission Guidelines:  Submit your papers at: https://cmt3.research.microsoft.com/IJCB2023 in a special session track.  The paper presented at this session will be published as part of the IJCB2023 and should, therefore, follow the same guideline as the main conference.  Page limit: A paper can be up to 8 pages including figures and tables, plus additional pages for references only.  Papers will be double-blind peer-reviewed by at least three reviewers. Please remove author names, affiliations, email addresses, etc. from the paper. Remove personal acknowledgements. Important Dates:  Full Paper Submission: July 17, 2023, 23:59:59 PDT  Acceptance Notice: August 17, 2023, 23:59:59 PDT  Camera-Ready Paper: August 21, 2023, 23:59:59 PDT Organizing Committee: Abhijit Das, BITS Pilani, India Aritra Mukherjee, BITS Pilani, India Xiangyu Zhu, CAS, China

2 years, 1 month

Call for paper IJCB 2023 - Special Session on Recent Advances in Detecting Manipulation Attacks on Biometric Systems (ADMA-2023)

by ABHIJIT DAS

Recent Advances in Detecting Manipulation Attacks on Biometric Systems (ADMA-2023) IJCB 2023 - Special Session Manipulated attacks in biometrics via modified images/videos and other material-based techniques such as presentation attacks and deep fakes have become a tremendous threat to the security world owing to increasingly realistic spoofing methods. Hence, such manipulations have triggered the need for research attention towards robust and reliable methods for detecting biometric manipulation attacks. The recent inclusion of manipulation/generation methods such as auto-encoder and generative adversarial network approaches combined with accurate localisation and perceptual learning objectives added an extra challenge to such manipulation detection tasks. Due to this, the performance of existing state-of-the-art manipulation detection methods significantly degrades in unknown scenarios. Apart from this, real-time processing, manipulation on low-quality medium, limited availability of data, and inclusion of these manipulation detection techniques for forensic investigation are yet to be widely explored. Hence, this special session aims to profile recent developments and push the border of the digital manipulation detection technique on biometric systems. We invite practitioners, researchers and engineers from biometrics, signal processing, material science, mathematics, computer vision and machine learning to contribute their expertise to underpin the highlighted challenges. Further, this special session promotes cross-disciplinary research by inviting the partitioner in the field of psychology where one can perform the human observer (or super-recogniser) analysis to detect attacks. Topics of interest include but are not limited to:  Deepfake manipulation and detection technique  Novel generalised PAD to unknown attacks  Image manipulation techniques datasets  Database in image and video manipulation, and attacks  Privacy-preserving techniques in digital manipulation attack detection  Image and video synthesis in PAD  Image and video manipulation generation and detection  Human observer analysis in detecting the manipulated biometric images  Novel sensors for detecting manipulated attacks  Bias analyses and mitigation in attack detection algorithms Submission Guidelines:  Submit your papers at: https://cmt3.research.microsoft.com/IJCB2023 in a special session track.  The paper presented at ADMA-2023 will be published as part of the IJCB2023 and should, therefore, follow the same guideline as the main conference.  Page limit: A paper can be up to 8 pages including figures and tables, plus additional pages for references only.  Papers will be double-blind peer-reviewed by at least three reviewers. Please remove author names, affiliations, email addresses, etc. from the paper. Remove personal acknowledgements. Important Dates:  Full Paper Submission: July 17, 2023, 23:59:59 PDT  Acceptance Notice: August 17, 2023, 23:59:59 PDT  Camera-Ready Paper: August 21, 2023, 23:59:59 PDT Organizing Committee: Abhijit Das, BITS Pilani, India Raghavendra Ramachandra, NTNU, Norway Meiling Fang, Fraunhofer IGD, Germany

2 years, 1 month

note on bias, ability and the lack of correlation between match and mismatch

by Peter Hancock

Dear colleagues, I've written a short note relating to a simulation I ran to clarify my muddy thinking about the effects of bias (towards match or mismatch) in face matching experiments and the way that principal components analysis separates match and mismatch items into different components. I can't see it making a published paper but I figure others may find it useful, so I've put it up on psyarxiv: https://psyarxiv.com/f2a9j Bottom line: when participants vary in bias and ability independently, PCA tends to separate match and mismatch trials, especially after varimax rotation. The (not very elegant) matlab simulation code is on OSF, linked from the paper. Comments welcome, to me rather than the whole list. Peter Peter Hancock (he/him) Professor Psychology, School of Natural Sciences University of Stirling FK9 4LA, UK phone 01786 467675 http://rms.stir.ac.uk/converis-stirling/person/11587 @pjbhancock Latest paper: Simulated automated facial recognition systems as decision-aids in forensic face matching tasks.<https://psycnet.apa.org/record/2023-24366-001?doi=1> https://psycnet.apa.org/doiLanding?doi=10.1037%2Fxge0001310 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. ________________________________ Scotland's University for Sporting Excellence The University of Stirling is a charity registered in Scotland, number SC 011159

2 years, 1 month

CFP: AAP@ICMI 2023 (Multimodal Assessment of Pain)

by zakia hammal

Apologies for cross-posting *********************************************************************************** AAP 2023: CALL FOR PAPERS International Workshop on Automated Assessment of Pain http://aap-workshop.net/ Submission Deadline: July 20th, 2023 *********************************************************************************** The International Workshop on Automated Assessment of Pain (AAP 2023) will be held in conjunction with ICMI 2023 on October 9th-13rd, 2023, Paris, France. For details concerning the workshop program, paper submission, and guidelines please visit our workshop website at: http://aap-workshop.net/ Best regards, Zakia Hammal, Steffen Walter, Nadia Berthouze

2 years, 1 month

📣 ONE DAY REMAINING 📣 Social AI CDT: Call for PhD Scholarship Applications 2023 [Final Call]

by SOCIAL CDT

2 years, 3 months

📣 ONE WEEK REMAINING 📣 Social AI CDT: Call for PhD Scholarship Applications 2023

by SOCIAL CDT

2 years, 3 months

📣 TWO WEEKS REMAINING 📣 Social AI CDT: Call for PhD Scholarship Applications 2023

by SOCIAL CDT

2 years, 3 months

Two postdoctoral positions at NYU Abu Dhabi (Center for Brain and Health)

by Olivia Cheung

The Center of Brain and Health at New York University Abu Dhabi seeks to recruit two postdoctoral associates for two projects: 1) a project on the mechanisms underlying rapid perception and cognition, and 2) a project on the neural mechanisms underlying interactions of visual and conceptual systems. *Project 1: Mechanisms underlying rapid perception and cognition* *(PI: Prof. David Melcher, Perception and Active Cognition Laboratory)* Attention, perception, working memory and other aspects of cognition are limited by time constraints that are linked to the temporal scales of neural activity. On the one hand, we can find general principles linking ongoing brain rhythms to the temporal unfolding of thought, from the sampling rate of sensory perception to the maintenance of active representations in memory. However, there are also large individual differences in processing speed within the healthy adult population, across the developmental lifespan, and when considering clinical and neurological patient groups. The successful applicant will drive a fascinating project on the neural correlates of these individual and clinical differences in speed of information processing. *Project 2: Neural mechanisms underlying interactions of visual and conceptual systems* *(PI: Prof. Olivia Cheung, Objects And Knowledge Laboratory)* High-level vision, which involves transforming visual inputs into meaningful concepts such as faces, words, animals, human-made objects, and scenes, is essential for humans to understand and interact with their environment. This process relies on a cortical network that supports perception, learning, memory, and prediction. The study of high-level vision provides a window into how learning and experience impact the human brain. The successful applicant will lead a project investigating the complex nature of semantic associations and image statistics on category selectivity, using machine learning and multivariate pattern analysis techniques. To distinguish the cortical networks and behavioral markers that are common across categories or unique to specific categories, the project involves characterizing the similarities and differences in the processing of multiple categories in healthy and clinical populations. The positions are funded for two years with the possibility of renewal. Required expertise includes strong knowledge of cognitive neuroscience and expertise in at least one of the neuroimaging methodologies involved in the project (fMRI, EEG or MEG). For a competitive application at the postdoctoral level, candidates should demonstrate experience in leading neuroimaging studies, as shown by publications in international scientific journals. The successful candidates will work in a multidisciplinary Center environment with world-class research infrastructure, consisting of PhD-level scientists, graduate students and undergraduate students. The terms of employment are extremely competitive and include housing and educational subsidies for children. Applications will be accepted immediately and candidates will be considered until the positions are filled. For more information and to apply via Interfolio: https://apply.interfolio.com/120844 (Project 1) https://apply.interfolio.com/122830 (Project 2)

2 years, 3 months

Lab manager / Research assistant position at Dartmouth

by Brad Duchaine

Hello, The Social Perception Lab at Dartmouth has an open lab manager / RA position. The position is funded by an NIH grant to investigate the cognitive and neural basis of developmental prosopagnosia. It requires strong programming skills and an interest in perception, neuroscience, and neuropsychology. can provide a good springboard into a PhD program. If you're interested, here's a link to the ad: https://searchjobs.dartmouth.edu/postings/67520 Please contact me if you have questions. Thanks, Brad

2 years, 4 months

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Face-research-list