CFP-LA-CCI-2024.pdfSpecial Session on Audio @ CBMI’24 “Content based Indexing for audio and music: from analysis to synthesis”
February 15th, 2024 
Daniela Lopez de Luise Dear all,
The 21st International Conference on Content-based Multimedia Indexing (CBMI 2024) takes place September 18-20 in Reykjavik, Iceland.
We are delighted to have, as part of the conference, a Special Session on Audio entitled: Content based Indexing for audio and music: from analysis to synthesis
Abstract: Audio has long been a key component of multimedia research. As far as indexing is concerned, the research and industrial context has changed drastically in the last 20 years or so. Today, applications of audio indexing range from karaoke applications to singing voice synthesis and creative audio design. This special session aims at bringing together researchers that aim at proposing new tools or paradigms to investigate audio and music processing in the context of indexation and corpus-based generation.
You are kindly encouraged to submit a paper related to the topic of the special session according to the CBMI guidelines :
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Regular full papers: 6 pages, plus additional pages for the list of references
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Regular short papers: 4 pages, plus additional pages for the list of references
Important dates:
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March 22: Regular and special session paper submissions
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June 3: Notification of acceptance
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Early July: Camera ready version of accepted papers
As of now, we already have 3 invited talks addressing the following topics :
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Cynthia C. S. Liem, Doğa Taşcılar, and Andrew M. Demetriou A quest through interconnected datasets: lessons from highly-cited ICASSP papers
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Rémi Mignot, Geoffroy Peeters Learning invariance to sound modifications for music indexing and alignment
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Cyrus Vahidi Large-scale music indexing for multimodal similarity search
Please join us in Reykjavik !!
Kindly yours,
François Pachet and Mathieu Lagrange
contact us: mathieu <dot> lagrange <at> ls2n <dot> fr
ReFIP @ FG 2024: First International Workshop on Responsible Face Image Processing
February 15th, 2024 Daniela Lopez de Luise
*** 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
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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