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
========================================================================
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
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
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