*** Call for Papers ***
First International Workshop on Responsible Face Image Processing (ReFIP 2024)
to be held as part of the 18th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2024)
Workshop: May 27 or May 31, 2024 (to be defined) – Istanbul, Turkey
Call for papers – held in conjunction with IEEE FG 2024
February 15th, 2024 
Daniela Lopez de Luise Analysis (SD-FGA 2024)
Held in the scope of IEEE FG 2024
27 or 31 May 2024 (TBD), Istanbul, Turkey
https://sites.google.com/view/sd-fga2024/
Paper submission: 17 March 2024, 11:59pm PST
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*** Call for Papers ***
Recent advancements in generative models within the realms of computer
vision and artificial intelligence have revolutionized the way
researchers approach data-driven tasks. The advent of sophisticated
generative models, such as GANs (Generative Adversarial Networks), VAEs
(Variational Autoencoders), or more recently diffusion models, has
empowered practitioners to create synthetic data that closely mirrors
real-world scenarios. These models enable the generation of
high-fidelity images and sequences, laying the foundation for
groundbreaking applications in face and gesture analysis. The
significance of these generative models lies in their ability to produce
synthetic data that is remarkably realistic, thereby mitigating
challenges associated with data scarcity and privacy concerns. As a
result, the utilization of synthetic data has become increasingly
prevalent in various research domains, offering a versatile and ethical
alternative for training and testing machine learning algorithms.
This workshop aims to delve into the diverse applications of synthetic
data in the realm of face and gesture analysis. Participants will
explore how synthetic datasets have been instrumental in training facial
recognition systems, enhancing emotion detection models, and refining
gesture recognition algorithms. The workshop will showcase exemplary use
cases where the integration of synthetic data has not only overcome data
limitations but has also fostered the development of more robust and
accurate models. As researchers increasingly recognize the potential of
synthetic datasets in shaping the future of computer vision and machine
learning, there arises a demand for a collaborative platform where ideas
can be exchanged, methodologies shared, and challenges addressed. This
workshop aims to bridge the gap between theoretical knowledge and
practical implementation, fostering a community of experts and
enthusiasts dedicated to advancing the frontiers of synthetic data in
face and gesture analysis.
Topics of interest include, but are not limited to:
+ Novel generative models for face and gesture synthesis
+ Label generation for synthetic data
+ Information leakage in synthetics data
+ Data factories for training biometric (detection, landmarking,
recognition) models
+ Synthetic data for data augmentation
+ Data synthesis for bias mitigation and fairness
+ Quality assessment for synthetic data
+ Synthetic data for privacy protection
+ Novel applications of synthetic data
+ New synthetic datasets and performance benchmarks
+ Applications of synthetic data, e.g., deepfakes, virtual try-on, face
and gesture editing
*** Paper format and submission ***
The 7th International Workshop on Virtual, Augmented, and Mixed Reality for Human-Robot Interaction (VAM-HRI)
February 15th, 2024 Daniela Lopez de Luise The 7th International Workshop on Virtual, Augmented, and Mixed Reality
for Human-Robot Interaction (VAM-HRI)Affiliated with HRI 2024
================
ROLLING SUBMISSIONS:Due to the early registration deadline for HRI, we have implemented rolling submissions with updated deadlines. Make sure to submit by Jan 17th if you want notification before the HRI 2024 early registration deadline.Final submissions will close February 16, 2024 UTC-12.WORKSHOP DATE:
March 11, 2024
Boulder, CO, USAWEBSITE:
https://vam-hri.github.io/
================The 7th International Workshop on Virtual, Augmented, and Mixed Reality
for Human-Robot Interaction (VAM-HRI) will bring together HRI, robotics,
and mixed reality researchers to address challenges in mixed reality
interactions between humans and robots in a hybrid workshop format,
allowing for participation both in-person and remotely. VAM-HRI 2024
will follow on the success of VAM-HRI 2018-23 and advance the cause of this
nascent research community.VAM-HRI 2024 welcomes contributions on topics including but NOT
limited to:– AR-based intent communication
– AR-based behavior explanation
– Social/Socially Assistive applications of VAM-HRI
– AR/VR for robot testing and diagnostics
– AR/VR for robot learning
– VR for HRI human-subject experimentation
– Mixed-reality language grounding
– AR-augmented natural language generation
– AR-enabled robot control
– AR/VR for safety around robots
– Architectures for AR/VR-based HRI
– Computational modeling within AR/VR-based HRI
– AR/VR for expanding social interactions
– VAM-HRI research in the time of COVID-19
– Social and ethical implications of VAM for HRIVAM-HRI accepts submissions of length from 2-8 pages presenting
current or proposed work. Papers posted online without prior peer review
(e.g., already posted on ArXiv as a preprint but not already accepted into
another venue) can be submitted. References do not count towards
total page count. A submission link will be provided on the workshop
website: https://vam-hri.github.io/All accepted papers will be accompanied by talks and/or poster presentations
and will be archived on the workshop website.Organizing Team
Maciej Wozniak | KTH Stockholm
Bryce Ikeda | University of North Carolina at Chapel Hill
Eric Rosen | Brown University
Max Pascher | University of Duisburg-Essen
Ayesha Jena | Lund UniversitySteering Committee
Cynthia Matuszek | University of Maryland, Baltimore
Jivko Sinapov | Tufts University
Daniel Szafir | University of North Carolina at Chapel Hill
Andre Pereira | KTH Stockholm
21st Conference on Robots and Vision (CRV 2024)
February 15th, 2024 Daniela Lopez de Luise Call for Papers: 21st Conference on Robots and Vision (CRV 2024)
Location: Guelph, Ontario, Canada
Dates: May 27 – May 31, 2024
The 21st Conference on Robots and Vision (CRV 2024) seeks high-quality paper submissions from all areas of robotics and computer vision. It will be held in Guelph, Ontario, Canada on May 27 – May 31, 2024, and will feature keynotes by Jitendra Malik of University of California, Berkeley and Kirstin Petersen of Cornell University, and symposium sessions consisting of invited talks, oral presentations and posters. The conference will be fully in-person.
New for 2024: CRV 2024 will have a separate, non-archival workshop track for late-breaking results and results published at other archival venues in 2023 or 2024. Unlike conference submissions, workshop submissions go through a very lightweight editorial process (details below), and accepted workshop papers are not considered as standalone peer-reviewed publications and will not be part of the CRV 2024 proceedings. However, accepted workshop papers will be presented at the inaugural CRV 2024 Workshops as oral presentations or posters.
Important Dates:
– Conference Paper Submission Deadline: February 18, 2024
– Workshop Paper Submission Deadline: March 3, 2024
– Decision Notifications: March 25, 2024
– Camera-Ready Papers Deadline: April 29, 2024
– In-person Conference: May 27 – May 31, 2024
Conference Submission Guidelines:
– Submissions must be standalone papers of 4-8 pages in length excluding references and in IEEE format.
– Submissions to the main conference must describe original research. Duplicate submissions to other archival conferences or workshops are strictly prohibited.
– For more information, contact the CRV 2024 program co-chairs at computerrobotvision2024+conference@gmail.com or consult the website: https://www.computerrobotvision.org/
– Submission link: https://openreview.net/group?id=computerrobotvision.org/CRV/2024/Conference
Workshop Submission Guidelines:
– Workshop submissions must be self-contained papers of 4-8 pages in length excluding references and in IEEE format.
– Workshop submissions will only go through a very lightweight editorial process – instead of being formally peer reviewed, submissions will only be checked for the significance and promise of late-breaking results or the consideration and/or incorporation of reviewers’ feedback for results already published at other archival venues.
– Accepted workshop papers are not considered as standalone peer-reviewed publications and will not be archival or part of the CRV 2024 proceedings.
– If the results have been previously published at another archival venue, the name of the venue must be declared, the date of publication at that venue must be in 2023 or 2024, the reviews and meta-reviews from that venue must be provided and a discussion of how the outstanding comments in the reviews and meta-reviews have been addressed must be included at the end of the paper (which does not count towards the page limit). All authors on the paper published at the archival venue must be part of the author list on the workshop submission.
– For more information, contact the CRV 2024 workshop co-chairs at computerrobotvision2024+workshops@gmail.com or consult the website: https://www.computerrobotvision.org/
– Workshop track submission link: https://openreview.net/group?id=computerrobotvision.org/CRV/2024/Workshops_Track
Program Co-chairs:
– Ke Li (Simon Fraser University)
– Amy Wu (Queen’s University)
Workshop Co-chairs:
– Yue Hu (University of Waterloo)
Live free ‘AIDA AI Excellence e-Lecture’ by Prof. Heng Ji: “SmartBook: an AI Prophetess for Disaster Reporting and Forecasting”, 16th February 2024, 15:00 CET
February 15th, 2024 Daniela Lopez de Luise See details in: https://www.i-aida.org/events/smartbook-an-ai-prophetess-for-disaster-reporting-and-forecasting/
Online participation
Please complete this registration form: http://www.hitz.eus/webinar_izenematea
in the framework of AIDA AI Excellence Lecture Series on several current hot AI topics. Lectures will be offered alternatingly by:
- Top highly-cited senior AI scientists internationally or
- Young AI scientists with promise of excellence (AI sprint lectures)
If you want to stay informed on future lectures, you can register in the email lists AIDA email list and CVML email list.
Best regards
Profs. N. Sebe, M. Chetouani, P. Flach, B. O’Sullivan, I. Pitas, J. Stefanowski
AIDA AI Excellence Lecture Series committee members