Hi,
I'm looking for a set of non-white male faces (black, Asian or East Asian) with each person displaying the traditional six expressions (happiness, anger, fear, disgust, surprise, sadness and a neutral expression). Does anyone have a set that I could use? If so, please contact me. Thanks!
Graham Hole,
University of Sussex.
Email: grahamh(a)sussex.ac.uk
********************************************************************
CALL FOR PAPERS - HBU 2021
11th International Workshop on Human Behavior Understanding (HBU)
Focus theme: Multi-source aspects of behavioral understanding
Held in conjunction with WACV 2021https://lmi.fe.uni-lj.si/hbu2021
Paper submission deadline: November 5th, 2020
Notifications: November 18th, 2020
*********************************************************************
ORGANIZERS
Abhijit Das, Indian Statistical Institute, Kolkata, India
Qiang Ji, Rensselaer Polytechnic Institute, United States
Umapada Pal, Indian Statistical Institute, Kolkata, India
Albert Ali Salah, Utrecht University, The Netherlands
Vitomir Štruc, University of Ljubljana, Slovenia
ABOUT
Domains for human behaviour understanding predominantly (e.g.,
multimedia, human-computer interaction, robotics, affective computing
and social signal processing) rely on advanced pattern recognition
techniques to automatically interpret complex behavioural patterns
generated when humans interact with machines or with other agents. This
is a challenging research area where many issues are still open,
including the joint modelling of behavioural cues taking place at
different time scales, the inherent uncertainty of machine detectable
evidence of human behaviour, the mutual influence of people involved in
interactions, the presence of long term dependencies in observations
extracted from human behaviour, and the important role of dynamics in
human behaviour understanding. Computer vision is a key technology for
analysis and synthesis of human behaviour but stands to gain much from
multi-modality and multi-source processing, in terms of improving
accuracy, resource use, robustness, and contextualization.
This workshop, organized as part of WACV 2021, will gather researchers
dealing with the problem of modelling human behaviour under its multiple
facets (expression of emotions, display of relational attitudes, the
performance of an individual or joint actions, etc.), with particular
attention to multi-source aspects, including multi-sensor,
multi-participant and multi-modal settings. Example challenges are the
additional resource and robustness constraints, explorations in
information fusion, social and contextual aspects of interactions, and
building multi-source representations of social and affective signals
with the goal of advancing the state-of-the-art.
The HBU workshops, previously organized as satellite events to major
conferences in different disciplines such as ICPR’10, AMI’11, IROS’12,
ACMMM’13, ECCV’14, UBICOMP’15, ACMMM’16, FG’18, ECCV’18, ICCV’19 have a
unique aspect of fostering cross-pollination of disciplines, bringing
together researchers from a variety of fields, such as computer vision,
HCI, artificial intelligence, pattern recognition, interaction design,
ambient intelligence, psychology and robotics. The diversity of human
behaviour, the richness of multimodal data that arises from its
analysis, and the multitude of applications that demand rapid progress
in this area ensure that the HBU Workshops provide a timely and relevant
discussion and dissemination platform. For HBU@WACV, we particularly
solicit contributions on human behaviour understanding that combine
multiple sources of information, be it across modalities, sensors, or
subjects under observation. The workshop solicits papers on general
topics related to human behaviour understanding, but with a distinct
focus on multi-source solutions.
TOPICS OF INTEREST
Topics of interest include, but are not limited to:
+ Multimodal solutions for human behaviour modelling and analysis
+ Multimodal solutions towards behavioural biometrics (gait,
handwriting, keystroke dynamics, etc.)
+ Methods for multi-instance learning in behavioural understanding,
+ Analysis of multi-participant settings and of social interactions,
+ Multi-instance representation for characterizing human health,
empathy,
+ Deep learning for multi-party interactions
+ Multimodal deep learning for behaviour understanding
+ Adversarial learning approaches
+ Related sensor technologies
+ Information fusions approach for behaviour analysis
+ Realistic behaviour synthesis in multiple modalities and for
multi-party settings
+ Mobile and wearable systems for behaviour monitoring
+ Datasets and benchmarks
+ Related applications
PAPER SUBMISSION
Submission instruction can be found
athttps://lmi.fe.uni-lj.si/hbu2021/paper-submission/
Please feel free to contact for any further details.
Abhijit Das, Qiang Ji, Umapada Pal, Albert Ali Salah, Vitomir Štruc
HBU 2021 Organizers
Dear all,
**This is a friendly reminder about the 8th Face Science Symposium that
willtake place on Tuesday, 17 November 2020 at 08h30, to start at 09h00 and
toend at 13h00.**
The Face Science Symposium is a joint research and support initiative
between the Eyewitness Research Group (UCT, Department of Psychology), the
South African Police Service, and Facial Identification Researchers and
Practitioners. The initiative was formed in 2014, and we have held a
conference every year since.
*The format is different this year because the symposium will be hosted
online.*
We aim to have between 5 and 7 speakers, depending on the number of keynote
speakers. All presentations will be 20 minutes long, with 5-10 minutes for
questions/discussion.
*There is no cost involved; therefore, it is free to attend or to present.*
*To register for the conference, as a delegate or a speaker, please go
here:https://forms.gle/XFKMpw8ZUK91MjV79
<https://forms.gle/XFKMpw8ZUK91MjV79>*
**Registration as a delegate closes on 12 November.The deadline for
abstractsubmissions is 30 October. We have extended the deadline for
abstract submissions to Monday 2 November. **
*We would love to have presentations from professionals who work in the
field. So far, we have psychology, biomechanical engineering, and
forensic art.*
We want to ensure *a range of topics*, therefore submission of an abstract
is not a guarantee that you will be presenting. Therefore, we will confirm
with you (between 30 October and 5 November) if your abstract submission
was successful. Registration as a delegate is immediately successful.
Previous topics include police interviewing techniques, eyewitness memory
for multiple perpetrator crimes, interviewing witnesses, reconstruction of
faces from skulls), drawing techniques for faces, different tools for
constructing composites, and person recognition from CCTV footage.
*Please share this e-mail far and wide.* We are not limited by physical
borders this year, so we can accommodate international delegates and
attendees. Our original intention for this collaboration was to foster
discussion and research between researchers and practitioners who are
interested in questions and issues about faces. Therefore, as always, we
would like a mix of presentations, ranging from academic topics (from
different departments), in-field experience/case studies/cases, and
practical presentations.
Please do not RSVP to me personally; instead, RSVP through the link above.
If you have questions or issues, then you are welcome to e-mail me.
Thanks in advance, and looking forward to spending the day with you at the
virtual symposium.
Kind regards,
Alicia Nortje
--
*Alicia Nortje, PhD*
*Postdoctoral Research Fellow,PhD (Applied Psychology; Psychology and
Law)**Eyewitness
Laboratory, *
*Applied Cognitive Science and Experimental Neuropsychology Team (ACSENT)
laboratory, *
*Department of Psychology, *
*University of Cape TownSkype: lichza*
*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. However, please
extend the same courtesy to me. *
********************************************************************
CALL FOR PAPERS - HBU 2021
11th International Workshop on Human Behavior Understanding (HBU)
Focus theme: Multi-source aspects of behavioral understanding
Held in conjunction with WACV 2021
https://lmi.fe.uni-lj.si/hbu2021
Paper submission deadline: November 2nd, 2020
Notifications: November 18th, 2020
*********************************************************************
ORGANIZERS
Abhijit Das, Indian Statistical Institute, Kolkata, India
Qiang Ji, Rensselaer Polytechnic Institute, United States
Umapada Pal, Indian Statistical Institute, Kolkata, India
Albert Ali Salah, Utrecht University, The Netherlands
Vitomir Štruc, University of Ljubljana, Slovenia
ABOUT
Domains for human behaviour understanding predominantly (e.g.,
multimedia, human-computer interaction, robotics, affective computing
and social signal processing) rely on advanced pattern recognition
techniques to automatically interpret complex behavioural patterns
generated when humans interact with machines or with other agents. This
is a challenging research area where many issues are still open,
including the joint modelling of behavioural cues taking place at
different time scales, the inherent uncertainty of machine detectable
evidence of human behaviour, the mutual influence of people involved in
interactions, the presence of long term dependencies in observations
extracted from human behaviour, and the important role of dynamics in
human behaviour understanding. Computer vision is a key technology for
analysis and synthesis of human behaviour but stands to gain much from
multi-modality and multi-source processing, in terms of improving
accuracy, resource use, robustness, and contextualization.
This workshop, organized as part of WACV 2021, will gather researchers
dealing with the problem of modelling human behaviour under its multiple
facets (expression of emotions, display of relational attitudes, the
performance of an individual or joint actions, etc.), with particular
attention to multi-source aspects, including multi-sensor,
multi-participant and multi-modal settings. Example challenges are the
additional resource and robustness constraints, explorations in
information fusion, social and contextual aspects of interactions, and
building multi-source representations of social and affective signals
with the goal of advancing the state-of-the-art.
The HBU workshops, previously organized as satellite events to major
conferences in different disciplines such as ICPR’10, AMI’11, IROS’12,
ACMMM’13, ECCV’14, UBICOMP’15, ACMMM’16, FG’18, ECCV’18, ICCV’19 have a
unique aspect of fostering cross-pollination of disciplines, bringing
together researchers from a variety of fields, such as computer vision,
HCI, artificial intelligence, pattern recognition, interaction design,
ambient intelligence, psychology and robotics. The diversity of human
behaviour, the richness of multimodal data that arises from its
analysis, and the multitude of applications that demand rapid progress
in this area ensure that the HBU Workshops provide a timely and relevant
discussion and dissemination platform. For HBU@WACV, we particularly
solicit contributions on human behaviour understanding that combine
multiple sources of information, be it across modalities, sensors, or
subjects under observation. The workshop solicits papers on general
topics related to human behaviour understanding, but with a distinct
focus on multi-source solutions.
TOPICS OF INTEREST
Topics of interest include, but are not limited to:
+ Multimodal solutions for human behaviour modelling and analysis
+ Multimodal solutions towards behavioural biometrics (gait,
handwriting, keystroke dynamics, etc.)
+ Methods for multi-instance learning in behavioural understanding,
+ Analysis of multi-participant settings and of social interactions,
+ Multi-instance representation for characterizing human health,
empathy,
+ Deep learning for multi-party interactions
+ Multimodal deep learning for behaviour understanding
+ Adversarial learning approaches
+ Related sensor technologies
+ Information fusions approach for behaviour analysis
+ Realistic behaviour synthesis in multiple modalities and for
multi-party settings
+ Mobile and wearable systems for behaviour monitoring
+ Datasets and benchmarks
+ Related applications
PAPER SUBMISSION
Submission instruction can be found at
https://lmi.fe.uni-lj.si/hbu2021/paper-submission/
Please feel free to contact for any further details.
Abhijit Das, Qiang Ji, Umapada Pal, Albert Ali Salah, Vitomir Štruc
HBU 2021 Organizers
Hello,
I have a student interested in doing a face identity matching project with Korean faces both with and without make up, male and female (specifically look at the K-Pop style of make- up). I would be really grateful if anyone knows of, or can point me towards this type of face database.
Best wishes
Carrie
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Dear All,
I'm looking for facial images of white men with neutral expression between
18 and 60 years. I already have a set from the Chicago Face Database, but I
would need additional 200-250 images in similar quality. It is important
that there should be no mask around the face, and the whole face should be
visible (from chin to the top of the hair). Coloured pictures are
preferred. They will be used in a go-nogo task in our lab, later possibly
in an online experiment as well. CFD faces will be the "go" trials, these
are already selected and rated, so the quality of the "no-go" stimuli
really needs to be similar to the selected set. Any suggestions?
Thanks in advance
Ferenc Kocsor, PhD
research associate
Institute of Psychology, University of Pécs, Hungary
Dear all,
I am working with Professor Colin Tredoux to analyse verbal or written
descriptions of perpetrators / faces and statements; unfortunately, we do
not have enough diversity in the descriptions that we have collected so
far. Specifically, our sample sizes are comparatively small compared to
studies that have used MTurk, and when we have found other researchers’
data on OSF (e.g., the Alogna et al replication of the VOE study), our
dataset is overwhelming tinted with descriptions of the ‘same’ perpetrator
(i.e., the moustached bank robber in the original video used of Schooler).
For these reasons, we are reaching out to other researchers for help. We
often collect witness statements in our experiments as part of our
laboratory procedure (encode – recall – recognise), but we do not normally
analyse these statement data. We are hoping that other researchers follow a
similar procedure and have description/statement data available. We’d like
to ask if you would be willing to share your data where you have collected
descriptions of the perpetrator/s or statements of the coding event, and
also have corresponding lineup identification data.
The data does not need to be processed – we can process it on our side and
recode the variables (and I can send this back to you). To do this, we just
need to know stimuli characteristics (e.g., tp/ta, position of
suspect/target, confidence scale, lineup choice made etc).
Please let me know if you are able to assist us. Apologies again for the
random e-mail, but any assistance would be much assisted.
Thanks again! Hope to hear from you.
Kind regards,
Alicia Nortje and Colin Tredoux
--
*Alicia Nortje, PhD*
*Postdoctoral Research Fellow,PhD (Applied Psychology; Psychology and
Law)**Eyewitness
Laboratory, *
*Applied Cognitive Science and Experimental Neuropsychology Team (ACSENT)
laboratory, *
*Department of Psychology, *
*University of Cape TownSkype: lichza*