Neuromatch Academy Applications are Open!

We're thrilled to announce our lineup of immersive courses at Neuromatch Academy! Whether you're a student eager to dive into cutting-edge topics or a seasoned researcher looking to contribute as a Teaching Assistant, we have opportunities tailored for you.

3-week Courses (July 8-26, 2024):

  • Computational Neuroscience: Explore the intricacies of the brain's computational processes and join an engaging community of learners.

  • Deep Learning: Delve into the world of artificial intelligence to uncover the principles and applications of deep learning.

2-week Courses (July 15-26, 2024):

  • Computational Tools for Climate Science: Uncover the tools and techniques driving climate science research in this dynamic two-week course.

  • NeuroAI (Inaugural Year!): Be part of history as we launch our first-ever NeuroAI course, designed to explore the intersection of neuroscience and artificial intelligence.

Key Dates:

  • TA Applications Close: Sunday, March 17th, midnight in the last time zone on Earth

  • Student Applications Close: Sunday, March 24th, midnight in the last time zone on Earth

Application Link: Apply on Neuromatch Academy

Additional Information:

  • All courses will be conducted exclusively online, providing flexibility and accessibility.

  • Detailed information about course fees can be found here.

  • Teaching Assistants will lead small groups of students, fostering collaborative learning.

  • TA positions offer financial compensation; detailed rates can be found here.

Don't miss out on this incredible opportunity to expand your knowledge, connect with experts in the field, and contribute to the success of our courses. Apply today and join us on a journey of discovery!

Cheers,

The Neuromatch Team

Call for papers – held in conjunction with IEEE FG 2024

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1st International Workshop on Synthetic Data for Face and Gesture 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 ***

CFP – 49th IEEE Conference on Local Computer Networks

49th Annual IEEE Conference on Local Computer Networks

Caen, Normandy, France
October 8-10, 2024
www.ieeelcn.org
======================================================
*** Important dates ***
Paper registration: April 12, 2024
Paper submission: April 19, 2024
Notifications: June 28, 2024
Camera ready: July 25, 2024

The IEEE LCN conference is the premier conference on the leading edge of
theoretical and practical aspects of computer networking. LCN is a
highly interactive conference that enables an effective exchange of
results and ideas among researchers, users, and product developers. For
the past 48 years, major developments from AI-enabled high-speed
networking to application-focused IoT networks and trending areas like
quantum networking have been reported at this conference. Topics of
interest include, but are not limited to:

– Adaptive networking applications
– AI-enabled networking
– Big Data Networking
– Cloud computing and networking
– Cognitive radio networks
– Cross-layer optimization
– Cyber-physical systems
– Data center networking
– Decentralized Systems and Blockchain Networks
– Delay-tolerant networks
– E-Health networking
– Embedded networks
– Green networking
– Information-centric networking
– Internet of Things
– Local area networks
– Machine-to-machine communications for smart environments
– Mobile and ubiquitous networking
– Mobility and Location-dependent services
– Multimedia and real-time communication
– Network coding
– Network management, reliability and QoS
– Network Security and privacy
– Network traffic characterization and measurements
– Opportunistic networking
– Optical and high-speed access networks
– Overlay and peer-to-peer networks
– Performance evaluation of networks
– Personal and wearable networks
– Quantum communication and networking
– Routing and transport protocols
– Satellite communication and networks
– Smart Cities
– Smart Grid communications
– Social networks
– Software Defined Networking and Network Function Virtualization
– Test beds for network experiments
– Underwater sensor networks
– Vehicular networks
– Wireless ad hoc & sensor networks

Authors are invited to submit papers describing original, previously
unpublished work, not currently under review by another conference,
workshop, or journal. There are a number of tracks that are designed to
improve interactions of experts over different stages in research
development.

   * Full Regular papers (maximum 8 pages plus references, 10 pt font in
IEEE format) should present novel perspectives within the general scope
of the conference.
   * Short papers (maximum 6 pages plus references, 10 pt font in IEEE
format) are an opportunity to present preliminary or interim results on
hot topics in a poster session.
   * Doctoral track papers (maximum 6 pages plus references, 10 pt font
in IEEE format) provide a supportive setting for Ph.D. students (who
must be the first author) to discuss their problem statement, methods,
results, obtain feedback from established researchers and establish
contacts for entering the job market. The doctoral track involves a
mentoring program.

We are also holding dedicated special tracks (e.g., invited workshops,
papers) focusing on nascent and promising areas in networking research,
which shall involve experts in those areas seeking to foster
collaborative development.

Full, short, special tracks, and doctoral papers are published in the
IEEE LCN proceedings and IEEE Xplore. All published papers must include
title, complete contact information for all authors, abstract, and
keywords on the cover page. IEEE reserves the right to remove papers
from IEEE Xplore that are not presented at the conference.

*** Paper submission ***

Papers must be registered on EDAS and submitted in PDF format. Detailed
submission instructions are available at the conference website. Direct
your questions to Program Chairs: Florian Tschorsch and Kanchana
Thilakarathna (program@ieeelcn.org).

A limited number of student grants and N2 Women Young Researcher
Fellowship awards are considered by the conference each year.

*** Remote Presentation Option ***
LCN considers in-person meetings indispensable for collaborations,
personal exchanges, discussions, and networking opportunities.
Recognizing the evolving landscape of academic conferences and the need
for flexibility, LCN 2024 introduces a Remote Presentation Option.

Upon acceptance/registration, authors have the option to select physical
or remote presentation modes. When opting for remote presentation, a fee
of 500 USD is required in addition to the author registration. This fee
covers supplementary costs associated with providing a remote option.
The additional fee for remote presentations may be waived when all
authors are from countries marked with an asterisk on the following list
of IEEE eMembership.

Countries: https://www.ieee.org/membership/join/emember-countries.html

Remote presentation is restricted to full, short, and doctoral papers.
Further implementation details will be communicated as part of the
author and presenter instructions.

The overarching goal of LCN 2024 is to enhance the accessibility and
inclusivity of LCN, catering to a diverse global audience while
preserving the value of physical participation.

2024 IEEE LCN Publicity Chairs,
Abdullah, Theo, and Youlong

Poste PR, Polytech Lyon / LIRIS

Un poste de professeur.e d'université est ouvert à Polytech Lyon,au laboratoire LIRIS.

Le poste est ouvert à 3 équipes, dont l'équipe SyCoSMA ( Systèmes Cognitifs et Systèmes Multi-Agents) qui est prioritaire.

Fiche du poste : https://www.galaxie.enseignementsup-recherche.gouv.fr/ensup/ListesPostesPublies/FIDIS/0691774D/FOPC_0691774D_4790.pdf

(fermeture des candidatures le 22/03, 16h)

Si vous êtes intéressés n’hésitez pas à candidater.

Cordialement,

3rd IEEE CVMI 2024 || Call for Papers !! IEEE International Conference on Computer Vision & Machine Intelligence

Dear Esteemed Colleagues, Academicians, and Research Professionals,


Greetings from Indian Institute of Information Technology Allahabad.

It is a matter of immense pleasure to inform you that the 3rd IEEE International Conference on Computer Vision & Machine Intelligence (IEEE CVMI) 2024 is being organized by Computer Vision and Biometrics Lab, Department of Information Technology, Indian Institute of Information Technology Allahabad, India during October 19-20, 2024.

The 3rd IEEE CVMI 2024 aims to provide an excellent platform for researchers to present their research findings. The IEEE CVMI 2024 conference is financially and technically sponsored by IEEE Uttar Pradesh Section. The conference proceedings will be published at IEEE Xplore. The IEEE CVMI 2024 conference is “Endorsed by International Association for Pattern Recognition (IAPR)” and “Technically Sponsored by IEEE Signal Processing Society Uttar Pradesh Chapter”.

The 3rd IEEE CVMI 2024 conference will feature Expert Talks by Eminent Researchers, Technical Paper Presentation Sessions, and PhD Colloquium. All submitted papers will be double-blind peer-reviewed. Paper acceptance will be based on originality, significance, technical soundness, and clarity of presentation. The IAPR Best Paper Award and the CVMI 2024 Best Paper Awards will be given to the outstanding papers. The Best PhD Dissertation Awards will be also given in the PhD Colloquium during IEEE CVMI 2024.

IEEE CVMI 2024 Attractions:

  • Successfully presented papers will be submitted to IEEE Xplore for publication.
  • Sponsored by IEEE Uttar Pradesh Section.
  • Endorsed by IAPR.
  • Indexed by Scopus and DBLP.
  • Technically Sponsored by IEEE SPS UP Chapter.
  • IAPR Best Paper Award and CVMI 2024 Best Paper Awards.
  • Best PhD Dissertation Awards.

We request you to please submit your work and kindly encourage your colleagues and research scholars to share their research findings at 3rd IEEE CVMI 2024 Conference.

The conference website is here: https://cvmi2024.iiita.ac.in/The deadline for paper submission is April 15, 2024 @11.59 PM.

The details related to paper submission, IEEE conference paper template, double blind review policy, page length, etc. can be found at https://cvmi2024.iiita.ac.in/submission.phpSubmission portal: https://cmt3.research.microsoft.com/CVMI2024.

Recently graduated PhD students can participate in the PhD Colloquium, IEEE CVMI 2024 for Best PhD Award. Please visit https://cvmi2024.iiita.ac.in/phd_colloquium.php for more information.

We look forward to your participation and support.

Thanks

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