Dear Colleagues,
Please find below the invitation to contribute to the 5th Workshop and Competition on Affective Behavior Analysis in-the-wild (ABAW) to be held in conjunction with the IEEE Computer Vision and Pattern Recognition Conference (CVPR), 2023.
(1): The Competition is split into the below four Challenges:
* Valence-Arousal Estimation Challenge
* Expression Classification Challenge
* Action Unit Detection Challenge
*
Emotional Reaction Intensity Estimation Challenge
The first 3 Challenges are based on an augmented version of the Aff-Wild2 database, which is an audiovisual in-the-wild database of 594 videos of 584 subjects of around 3M frames; it contains annotations in terms of valence-arousal, expressions and action units.
The last Challenge is based on the Hume-Reaction dataset, which is a multimodal dataset of about 75 hours of video recordings of 2222 subjects; it contains continuous annotations for the intensity of 7 emotional experiences.
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 2023 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 2023 proceedings.
More information about the Competition can be found here<https://ibug.doc.ic.ac.uk/resources/cvpr-2023-5th-abaw/>.
Important Dates:
* Call for participation announced, team registration begins, data available:
13 January, 2023
* Final submission deadline:
18 March, 2023
* Winners Announcement:
19 March, 2023
* Final paper submission deadline:
24 March, 2023
* Review decisions sent to authors; Notification of acceptance:
3 April, 2023
* Camera ready version deadline:
8 April, 2023
Chairs:
Dimitrios Kollias, Queen Mary University of London, UK
Stefanos Zafeiriou, Imperial College London, UK
Panagiotis Tzirakis, Hume AI
Alice Baird, Hume AI
Alan Cowen, Hume AI
(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 2023 proceedings.
Important Dates:
Paper Submission Deadline: 24 March, 2023
Review decisions sent to authors; Notification of acceptance: 3 April, 2023
Camera ready version 8 April, 2023
Chairs:
Dimitrios Kollias, Queen Mary University of London, UK
Stefanos Zafeiriou, Imperial College London, UK
Panagiotis Tzirakis, Hume AI
Alice Baird, Hume AI
Alan Cowen, Hume AI
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
========================================================================
Dr Dimitrios Kollias, PhD, MIEEE, FHEA
Lecturer (Assistant Professor) in Artificial Intelligence
Member of Multimedia and Vision (MMV) research group
Member of Queen Mary Computer Vision Group
Associate Member of Centre for Advanced Robotics (ARQ)
Academic Fellow of Digital Environment Research Institute (DERI)
School of EECS
Queen Mary University of London
========================================================================
Hello,
My lab is searching for a postdoctoral fellow who will contribute to an NSF
project investigating eye movements and retinotopic face tuning in
adults, children, and individuals with developmental prosopagnosia.
If you're interested, please see the ad below or click here
<https://apply.interfolio.com/130310>. If you have any questions, I'd be
happy to answer them.
Thanks,
Brad
The Social Perception Lab in Psychological and Brain Sciences at Dartmouth
invites applications for a postdoctoral fellow. We welcome applications
from creative scientists who are eager to develop a research program
involving psychophysics, neuropsychology, perceptual development, and
individual differences. The postdoctoral fellow will play a central role in
an NSF-funded project investigating eye movements and retinotopic face
tuning. The project will examine preferred fixation locations and face
tuning in children, adults at a variety of ages, and individuals with
developmental prosopagnosia.
This is a collaborative project between Brad Duchaine at Dartmouth and
Miguel Eckstein at UC-Santa Barbara. The postdoctoral fellow will be based
at Dartmouth but will regularly interact with Professor Eckstein and will
travel to Santa Barbara to collect data. Both supervisors are committed to
the training and career development of the fellow. For more information on
our work, please visit the Social Perception Lab and the Prosopagnosia
Research Center.
The Department of Psychological and Brain Sciences at Dartmouth offers the
best of a well-resourced, externally funded research university environment
along with the integrative and cross-disciplinary nature of a liberal arts
institution. In particular, our state-of-the-art research and teaching
facility houses human cognitive/social neuroscience and small-animal
behavioral/systems neuroscience in the same building. We have a
concentration of laboratories working on vision, so the postdoctoral fellow
will be part of a supportive community of vision researchers. Beyond the
department, postdoctoral scholars are supported by the Guarini School for
Graduate and Advanced Studies, including their diversity and inclusion
initiatives. The broader neuroscience community includes research programs
in the Department of Biological Sciences, Geisel School of Medicine, Thayer
School of Engineering, and the cross-departmental Integrative Neuroscience
at Dartmouth (IND) graduate program.
The Department of Psychological and Brain Sciences and Dartmouth are
committed to fostering a diverse, equitable, and inclusive population of
students, faculty, and staff. Dartmouth recently launched a new initiative,
Toward Equity, that embraces shared definitions of diversity, equity,
inclusion, and belonging as a foundation for our success in institutional
transformation. We are especially interested in applicants who are able to
work effectively with students, faculty, and staff from all backgrounds and
with different identities and attributes. Our labs regularly host students
participating in undergraduate diversity initiatives in STEM research, such
as our Women in Science Program, E. E. Just STEM Scholars Program, and the
Academic Summer Undergraduate Research Experience (ASURE).
Qualifications
Applicants should have a PhD in Psychology, Neuroscience, or a closely
related field, or be ABD with a degree received before the start of the
appointment. Qualified candidates should have experience with perception
research, substantial programming experience, and an interest in individual
differences and development. We also encourage enquiries from applicants
with other backgrounds.
Application Instructions
Please submit all materials electronically via Interfolio:
Cover Letter that outlines your research interests and qualifications
CV, including contact information for two references.
Review of applications will begin on October 1, 2023 and continue until the
position is filled. The anticipated start date is negotiable. For
enquiries, please contact Professor Brad Duchaine,
bradley.c.duchaine(a)dartmouth.edu.