Dear Colleagues,
Please find below the invitation to contribute to the 8th Workshop and Competition on Affective & Behavior Analysis in-the-wild (ABAW)<https://affective-behavior-analysis-in-the-wild.github.io/8th/> to be held in conjunction with the IEEE Computer Vision and Pattern Recognition Conference (CVPR), 2025.
(1): The Competition is split into the below six Challenges:
*
Valence-Arousal Estimation Challenge
*
Expression Recognition Challenge
*
Action Unit Detection Challenge
*
Compound Expression Recognition Challenge
*
Emotional Mimicry Intensity Estimation Challenge
*
Ambivalence/Hesitancy (AH) Recognition Challenge
The first 3 Challenges are based on an augmented version of the Aff-Wild2 database, which is an A/V 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 4th Challenge is based on C-EXPR-DB, which is an A/V in-the-wild database and in total consists of 400 videos of around 200K frames; each frame is annotated in terms of compound expressions.
The 5th Challenge is based on the Hume-Vidmimic2 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.
The last Challenge is based on the Behavioural Ambivalence/Hesitancy dataset, which is an A/V dataset of 630 videos of 5 hours duration of around 430K frames; it contains annotations in terms of presence and absence of ambivalence/hesitancy.
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 2025 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 2025 proceedings.
More information about the Competition can be found here<https://affective-behavior-analysis-in-the-wild.github.io/8th/#clients>.
Important Dates:
* Call for participation announced, team registration begins, data available:
22 January, 2025
* Final submission deadline:
12 March, 2025
* Winners Announcement:
17 March, 2025
* Final paper submission deadline:
21 March, 2025
* Review decisions sent to authors; Notification of acceptance:
3 April, 2025
* Camera ready version deadline:
7 April, 2025
Chairs:
Dimitrios Kollias, Queen Mary University of London, UK
Stefanos Zafeiriou, Imperial College London, UK
Irene Kotsia, Cogitat Ltd, UK
Panagiotis Tzirakis, Hume AI
Alan Cowen, Hume AI
Eric Granger, École de technologie supérieure, Canada
Marco Pedersoli, École de technologie supérieure, Canada
Simon Bacon, Concordia University, Canada
(2): The Workshop solicits contributions on cutting-edge advancements in analyzing, generating, modeling, and understanding human affect and behavior across multiple modalities, including facial expressions, body movements, gestures and speech. A special emphasis is placed on the integration of state-of-the-art systems designed for in-the-wild analysis, enabling research and applications in unconstrained environments. In parallel, this Workshop will solicit contributions towards building fair, explainable, trustworthy and privacy-aware models that perform well on all subgroups and improve in-the-wild generalisation.
Original high-quality contributions, in terms of databases, surveys, studies, foundation models, techniques and methodologies (either uni-modal or multi-modal; uni-task or multi-task ones) are solicited on -but are not limited to- the following topics:
i) facial expression (basic, compound or other) or micro-expression analysis
ii) facial action unit detection
iii) valence-arousal estimation
iv) physiological-based (e.g.,EEG, EDA) affect analysis
v) face recognition, detection or tracking
vi) body recognition, detection or tracking
vii) gesture recognition or detection
viii) pose estimation or tracking
ix) activity recognition or tracking
x) lip reading and voice understanding
xi) face and body characterization (e.g., behavioral understanding)
xii) characteristic analysis (e.g., gait, age, gender, ethnicity recognition)
xiii) group understanding via social cues (e.g., kinship, non-blood relationships, personality)
xiv) video, action and event understanding
xv) digital human modeling
xvi) characteristic analysis (e.g., gait, age, gender, ethnicity recognition)
xvii) violence detection
xviii) autonomous driving
xix) domain adaptation, domain generalisation, few- or zero-shot learning for the above cases
xx) fairness, explainability, interpretability, trustworthiness, privacy-awareness, bias mitigation and/or subgroup distribution shift analysis for the above cases
xxi) editing, manipulation, image-to-image translation, style mixing, interpolation, inversion and semantic diffusion for all afore mentioned cases
Accepted workshop papers will appear at CVPR 2025 proceedings.
Important Dates:
Paper Submission Deadline: 21 March, 2025
Review decisions sent to authors; Notification of acceptance: 3 April, 2025
Camera ready version 7 April, 2025
Chairs:
Dimitrios Kollias, Queen Mary University of London, UK
Stefanos Zafeiriou, Imperial College London, UK
Irene Kotsia, Cogitat Ltd, UK
Panagiotis Tzirakis, Hume AI
Alan Cowen, Hume AI
Eric Granger, École de technologie supérieure, Canada
Marco Pedersoli, École de technologie supérieure, Canada
Simon Bacon, Concordia University, Canada
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, FHEA, M-IEEE, M-BMVA, M-AAAI, M-TCPAMI, AM-IAPR
Lecturer (Assistant Professor) in Artificial Intelligence
Member of Centre for Multimodal AI
Affiliate Member of Centre for Human Centred Computing
Member of Multimedia and Vision Group
Member of Queen Mary Computer Vision Group
Associate Member of Centre for Advanced Robotics
Academic Fellow of Digital Environment Research Institute
School of EECS
Queen Mary University of London
========================================================================
We (Abhijit Das, Mayank Vatsa, Richa Singh, Arun Ross, Vitomir Štruc,
Antitza Dantcheva, Ph.D. and Raghavendra Ramachandra) are organising the
1st Computer Vision for Biometrics, Identity & Behaviour (CV4BIOM) workshop
at ICCV 2025.
Submission deadline: 29 June 2025
Decision: 11 July 2025
Website: cv4biom.org
Submission link:
https://openreview.net/group?id=thecvf.com/ICCV/2025/Workshop/CV4BIOM
All accepted paper in the workshops will be publish in the ICCV workshop
proceedings:
ICCVW will follow only include works longer than 4 pages and up to 8 pages
not including references.
***********The best-reviewed paper from the workshop will be invited to
submit extended work to the IEEE TBIOM SPECIAL ISSUE on Best Reviewed
Papers from ICCV 2025 Biometrics.***************
Topics of interest, but not limited to:
• Biometrics & Identity: Technologies, Applications, and Challenges:
– Biometric Modalities and Sensors: Face, fingerprint, ear, eye (iris,
retina), vein pat-
terns, palm, gait, and emerging biometric traits.
– Biometric Processing and Computation: Template generation, feature
extraction,
matching algorithms, and dataset baselines.
– Multi-Biometrics and Fusion: Information fusion, normalization
techniques, machine
learning-based integration, and theoretical models.
– Privacy, Security and Bias: Bias mitigation, privacy-preserving
techniques, security
assessments, and adversarial robustness in biometric systems.
– Forensic and Law Enforcement Applications: Biometrics in forensics, crime
investi-
gation, and security assessment.
– Biometrics in Technology and Industry: Mobile and wearable devices,
banking, IoT,
large-scale identity management, and biometric authentication standards.
– Emerging Challenges and Ethical Considerations: Digital data forensics,
biometric
deepfakes, synthetic realities, ethical, social, and legal issues in
biometric adoption.
• Behavior Understanding & Applications:
– Multimodal Behavior Modeling: Human and animal behavior analysis, social
interac-
tions, empathy, and emotional intelligence.
– Generative and Machine Learning Approaches: Advanced learning models for
be-
havior prediction and synthesis.
– Sensor Technologies and Data Fusion: Multisensory solutions, information
fusion tech-
niques, and integration for behavior analysis.
– Datasets and Benchmarks: Standardized datasets and evaluation metrics for
behavior
recognition and prediction.
– Attention and Perception Analysis: Visual attention, visual saliency, and
cognitive
modeling.
– Assistive and Inclusive Technologies: Applications for the visually and
hearing im-
paired, sign language recognition, and assistive living solutions.
– Personalized and Health-Centric Applications: Monitoring for aging
populations,
child development, and quality-of-life technologies.
– Egocentric and First-Person Vision: Wearable vision-based applications
for personal-
ized assistance and behaviour tracking.
Best regards
Abhijit
------------------ --------------------- ---- --------------------
*Dr.** Abhijit Das, * PhD, SMIEEE, LMIUPRAI, Member APPCAIR
<https://appcair.com/applied-ai-faculty.html>
Lead Investigator, Machine Intelligence Group
<https://sites.google.com/hyderabad.bits-pilani.ac.in/mig/home>
Assistant Professor.
<https://sites.google.com/hyderabad.bits-pilani.ac.in/mig/home>
<https://sites.google.com/hyderabad.bits-pilani.ac.in/mig/home>
H112, Dept. of Computer Science and Information Systems,
BITS Pilani, Hyderabad Campus.
*Organising Chair:*
1st Workshop on Computer Vision for Biometrics, Identity and Behaviour
(CV4BIB 2025) at ICCV 2025.
ICRA'2025 Satellite event at BITS Hyderabad
*Competition Co-Chairs: *IEEE International Joint Conference on Biometrics
(IJCB 2026)
*Sponsorship** Co-Chairs: *6th Indian Symposium on Machine Learning (IndoML
2025)
*Contact no:* +914066303744 (O)
*Website: *https://sites.google.com/site/dasabhijit2048/home
*▄▄▄▄▄▄▄▄▄▄▄▄**▄▄▄▄▄▄▄▄▄▄▄▄▄**▄▄▄▄▄▄▄▄▄▄▄▄*
[image: Visit Hyderabad Campus]
Dear colleagues,
We are pleased to invite submissions to the *Scientific Reports* special
issue titled *“Face Recognition and Prosopagnosia”*, co-edited by Dr.
Roberta Daini and Dr. Jessica Taubert.
This collection aims to showcase cutting-edge research on the cognitive and
neural mechanisms of face recognition, including studies on individuals
with prosopagnosia. We welcome contributions addressing:
-
Typical and atypical development of face recognition
-
Diagnostic criteria and intervention strategies for prosopagnosia
-
Computational, neuroimaging, and behavioral approaches to face processing
-
The social and emotional consequences of impaired face perception
*The submission deadline has been extended to July 26, 2025.*
All accepted articles will be published in *Scientific Reports*, an
open-access journal with a broad interdisciplinary readership.
To learn more or to submit your manuscript, please visit the collection
homepage:
👉 https://www.nature.com/collections/ijgagibjdj
We encourage you to share this opportunity with your networks. Please don’t
hesitate to reach out if you have questions or would like to discuss a
potential submission.
Warm regards,
*Jessica Taubert*
Associate Professor, University of Queensland
Co-Editor, Scientific Reports Special Collection
Submit your cutting-edge research on biometric manipulation detection to
ADMA-2025 and contribute to advancing security against evolving threats.
ADMA-2025 is organized as a Special Session at the 2025 International Joint
Conference on Biomterics (IJCB), held in Oska, Japan between 8-11 September
2025. Accepted papers will be submitted for inclusion into IEEE Xplore, as
part of IJCB proceedings.
Paper submission deadline: July 10, 2025
More information: https://sites.google.com/view/ijcb-ss-adma-2025/home
Organizers: Abhijit Das, Raghavendra Ramachandra, Naser Damer, Vitomir Štruc
, Marija Ivanovska, Antitza Dantcheva
Best regards
Abhijit
------------------ --------------------- ---- --------------------
*Dr.** Abhijit Das, * PhD, SMIEEE, LMIUPRAI, Member APPCAIR
<https://appcair.com/applied-ai-faculty.html>
Lead Investigator, Machine Intelligence Group
<https://sites.google.com/hyderabad.bits-pilani.ac.in/mig/home>
Assistant Professor.
<https://sites.google.com/hyderabad.bits-pilani.ac.in/mig/home>
<https://sites.google.com/hyderabad.bits-pilani.ac.in/mig/home>
H112, Dept. of Computer Science and Information Systems,
BITS Pilani, Hyderabad Campus.
*Organising Chair:*
1st Workshop on Computer Vision for Biometrics, Identity and Behaviour
(CV4BIB 2025) at ICCV 2025.
ICRA'2025 Satellite event at BITS Hyderabad
*Competition Co-Chairs: *IEEE International Joint Conference on Biometrics
(IJCB 2026)
*Sponsorship** Co-Chairs: *6th Indian Symposium on Machine Learning (IndoML
2025)
*Contact no:* +914066303744 (O)
*Website: *https://sites.google.com/site/dasabhijit2048/home
*▄▄▄▄▄▄▄▄▄▄▄▄**▄▄▄▄▄▄▄▄▄▄▄▄▄**▄▄▄▄▄▄▄▄▄▄▄▄*
[image: Visit Hyderabad Campus]
Please see below for details of Postdoc and PhD positions at UNSW Sydney, Face Lab. The project team would be very grateful if you could forward the following positions to any people and/or lists with potential interest or potential for further distribution:
Two opportunities for joining a vibrant research team at UNSW Sydney
Both roles are jointly funded by the Australian Research Council and the Australian Passport Office (ARC Linkage Project grant: LP230201076). The postdoc is based at UNSW, Sydney but would be part of a project team including members of UNSW Face Lab (David White, Richard Kemp, James Dunn), University of Queensland (Alice Towler) and investigators from the Australian Passport Office.
Postdoc (3 years fixed term):
The postdoc will work within the UNSW Face Lab located in the School of Psychology at UNSW and is responsible for taking a leading role in a unique collaborative project with the Australian Passport Office. The project aims to improve face identity processing in applied settings by developing theoretical understanding of perceptual and cognitive processing in humans and AI.
There is significant potential for the post-doc to shape the direction of research of this collaborative project (UNSW, the University of Queensland and the Australian Passport Office).
More details and link to apply via:
https://external-careers.jobs.unsw.edu.au/cw/en/job/531079/research-associa…
Fully-funded PhD position (3.5 years)
The PhD project will be aligned to the overall aims of the Australian Research Council Linkage Project (LP230201076). The project team will develop more specific project proposals with applicants, and these can be adapted to reflect the interests of applicants. One potential topic that would be a good fit with the project is described in the advert:
https://www.unsw.edu.au/research/hdr/our-projects/metacognitive-abilities-i…
Please contact me directly at david.white(a)unsw.edu.au<mailto:david.white@unsw.edu.au> with any informal queries relating to these positions.
Best regards,
David
======================
David White
Scientia Associate Professor
School of Psychology
UNSW Sydney
tel. +61 (0) 2 9385 3254
twitter: @davidwhitephd
*Final Call for Papers (**no more extension**)*
I*CPR 2024: 2nd Workshop on- Call for Papers Fairness in Biometric Systems*
Biometric systems have spread worldwide and therefore have been
increasingly involved in critical decision-making processes, including
finances, public security, and forensics. Despite their increasing impact
on everybody’s daily life, many biometric solutions perform highly
divergent for different groups of individuals, as previous works have
shown. Consequently, the recognition performance of such systems is
significantly impacted by demographic and non-demographic attributes of
users. This brings to the fore discriminatory and unfair treatment of users
of such systems.
At the same time, several political regulations, such as Article 7 of the
Universal Declaration of Human Rights and Article 71 of the General Data
Protection Regulation (GDPR), have highlighted the importance of the right
to non-discrimination. These political efforts show the pertinent need for
analyzing and mitigating equability concerns in biometric systems. Given
the increasing impact on everybody’s daily life, as well as the associated
social interest, research on fairness in biometric solutions is urgently
needed.
This includes
• Developing and analyzing biometric datasets
• Proposing metrics related to equability in biometrics
• Demographic and non-demographic factors in
biometric systems
• Investigating and mitigating equability concerns
in biometric algorithms including
o Identity verification and identification
o Soft-biometric attribute estimation
o Presentation attack detection
o Template protection
o Biometric image generation
o Quality assessment
*Important Dates*
--------------------------------
Full Paper Submission: September 8, 2024
Acceptance Notice: September 20, 2024
Camera-Ready Paper: September 24, 2024
Workshop: December 01, 2024
*Call for Papers*
I*CPR 2024: 2nd Workshop on- Call for Papers Fairness in Biometric Systems*
Biometric systems have spread worldwide and therefore have been
increasingly involved in critical decision-making processes, including
finances, public security, and forensics. Despite their increasing impact
on everybody’s daily life, many biometric solutions perform highly
divergent for different groups of individuals, as previous works have
shown. Consequently, the recognition performance of such systems is
significantly impacted by demographic and non-demographic attributes of
users. This brings to the fore discriminatory and unfair treatment of users
of such systems.
At the same time, several political regulations, such as Article 7 of the
Universal Declaration of Human Rights and Article 71 of the General Data
Protection Regulation (GDPR), have highlighted the importance of the right
to non-discrimination. These political efforts show the pertinent need for
analyzing and mitigating equability concerns in biometric systems. Given
the increasing impact on everybody’s daily life, as well as the associated
social interest, research on fairness in biometric solutions is urgently
needed.
This includes
• Developing and analyzing biometric datasets
• Proposing metrics related to equability in biometrics
• Demographic and non-demographic factors in
biometric systems
• Investigating and mitigating equability concerns
in biometric algorithms including
o Identity verification and identification
o Soft-biometric attribute estimation
o Presentation attack detection
o Template protection
o Biometric image generation
o Quality assessment
*Important Dates*
--------------------------------
Full Paper Submission: September 1, 2024
Acceptance Notice: September 20, 2024
Camera-Ready Paper: September 24, 2024
Workshop: December 01, 2024
Best regards
Abhijit
------------------ --------------------- ---- --------------------
*Prof.** Abhijit Das, * PhD, SMIEEE, LMIUPRAI, Member APPCAIR
<https://appcair.com/applied-ai-faculty.html>
Machine Intelligence Group
<https://sites.google.com/hyderabad.bits-pilani.ac.in/mig/home>Assistant
Professor.
Dept. of Computer Science and Information Systems,
BITS Pilani, Hyderabad Campus.
Contact no: +914066303744 (O)
Web: https://sites.google.com/site/dasabhijit2048/home
*▄▄▄▄▄▄▄▄▄▄▄▄**▄▄▄▄▄▄▄▄▄▄▄▄▄**▄▄▄▄▄▄▄▄▄▄▄▄*