Third CALL FOR PAPERS, CFP, IEEE IATMSI-2025 Extended Deadline of Paper Submissions:15th December 2024

December 9th, 2024 Daniela Lopez de Luise
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Third CALL FOR PAPERS (CFP) IEEE IATMSI-2025 Extended Deadline of Paper Submissions:15th November 2024)

December 8th, 2024 Daniela Lopez de Luise

Last Call for Papers

IEEE INTERNATIONAL CONFERENCE ON INTERDISCIPLINARY APPROACHES

IN TECHNOLOGY AND MANAGEMENT FOR SOCIAL INNOVATION

(IATMSI-2025)

“Flagship Conference of ABV-IIITM Gwalior”

06-08 March, 2025

(Hybrid Conference)

Venue: ABV-IIITM Gwalior, India

The 3rd edition of the IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation – IATMSI-2025, will be held during 06-08 March 2025 in Hybrid Mode. While the theme of this conference is “Enabling the Change! Social Innovation for Sustainable Societies“, the main tracks of the conference are listed below:

1.    Innovative Solutions for Healthcare 

2.    Power, Control, Energy and Intelligent Transportation Technologies

3.  Artificial Intelligence (AI), IOT and Computer Vision Enabled Technologies

4.  Green Electronics, VLSI, Communication and Sensor-Based Technologies

5.  IT enabled Management for Social Change

The sub-themes/topics, fee structure, and other details can be found in the attached Conference Brochure.

Please visit the conference website for more details:

http://iatmsi.iiitm.ac.in/

The Conference will include talks from eminent Keynote Speakers and Tutorials / Expert Talks by industry veterans on the date of the conference.

Authors are invited to submit the full paper (Maximum 6 pages, double-column A4) as PDF using the IEEE template. Authors are invited to submit their papers in electronic format through Microsoft CMT.

This conference is a SCOPUS-indexed conference, and all accepted and presented papers will undergo submission for inclusion into IEEE Xplore subject to meeting IEEE Xplore’s scope and quality requirements.

Click here to submit papers:

https://cmt3.research.microsoft.com/IEEEIATMSI2025/Submission/Index

Awards (worth ₹3 lakh):

IATMSI recognizes the excellence in research through the following prestigious awards from each Track on the last day of the conference:

 

1.    Best Paper Awards

2.    Best Prototype Award

3.    Best Research Simulation Award (in Collaboration with ScholarsColab.com) (For details Kindly visit at https://iatmsi.iiitm.ac.in/awards-grants/)

4.    Travel Grants

5.    Registration Grants

Conference Timeline:

Last Date of Paper Submission:                        December 15, 2024

Paper Acceptance Notification:                          December 20, 2024

Registration Starts:                                            October 15, 2024

Camera Ready Paper Submission:                   December 31, 2024

Last Date of Early Bird Registrations:                December 31, 2024

Conference Dates:                                             March 06-08, 2025

Please contact through email iatmsi@iiitm.ac.in if you have any queries.

With best regards,

Conference Chair

 

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¡HOY! – ¿Querés aprender a importar y potenciar tu negocio? 🌍 – CURSO GRATUTO

December 8th, 2024 Daniela Lopez de Luise

💼✨ ¡HOY! Transformá tus ideas en acción con Graduados de la UBA 🚀
¿Querés aprender a importar y potenciar tu negocio? 🌍

Hoy, domingo 8 de diciembre, de 18:00 a 19:30, te invitamos a un curso GRATUITO online organizado por el Centro de Graduados de Ingeniería de la UBA.

📌 ¿Qué vas a aprender?


✔️ Elegir el producto adecuado.
✔️ Conectar con proveedores confiables.
✔️ Trabajar con agentes aduaneros.
✔️ Gestionar el transporte desde el origen hasta el almacén de destino.

📲 ¡Sumate ya! Recibí el enlace de Zoom uniéndote al grupo de WhatsApp:
👉 Únete al grupo aquí

No pierdas esta oportunidad de formarte con expertos de una institución líder. ¡Te esperamos! 😊

2B3d251QSGqifk9TL2EuK%2BOpPRc-KKf2aypNK_ZDDZdx1ag%40mail.gmail.com.

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Live free ‘AIDA AI Excellence e-Lecture’ by Prof. Sean Gong (Queen Mary University of London): “LLMs for More Reliable Small Data Learning”, December 3, 2024 – 17:00 CET.

December 3rd, 2024 Daniela Lopez de Luise
Dear AI scientist/engineer/student/enthusiast,

 

Professor Sean Gong (Queen Mary University of London) will deliver the e – lecture: “LLMs for More Reliable Small Data Learning“

📅 3rd. December 2024

🕒 Time: 17:00 – 18:00 CET

🔗 Join via Zoom: [Zoom link & passcode: 114050]

🌐 For more details, click here

 

 

The International AI Doctoral Academy (AIDA), a joint initiative of the European R&D projects AI4Media, ELISE, Humane AI Net, TAILOR, VISION, is very pleased to offer you top quality scientific lectures 

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)

These lectures are disseminated through multiple channels and email lists (we apologize if you received it through various channels). If you want to stay informed on future lectures, you can register in the email lists AIDA email list and CVML email list.

 

Upcoming AI Excellence Lectures:

  • Prof. Dr. Juergen Gall, “From Forecasting Human Behavior to Forecasting Extreme Weather and Climate Events”, 17/12/24, 17:00 CET
  • Prof. Dr. Gerard Pons-Moll, “How to train large scale 3D human foundation models”, 4/2/25, 17:00 CET

 

Best regards
Profs. N. Sebe, M. Chetouani, P. Flach, B. O’Sullivan, I. Pitas, J. Stefanowski
AIDA AI Excellence Lecture Series committee members

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Large-scale place recognition in 3D points clouds @LASTIG – IGN/UGE – Paris area

December 3rd, 2024 Daniela Lopez de Luise
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Keywords: Computer Vision, Photogrammetry, Machine Learning, Place Recognition, Pose Estimation, 3D Points Clouds, Big Data, LLM



Subject


Place recognition based on the visual mapping of the environment is a problem at the heart of many topical application domains, such as geolocalization for mobile mapping, digital twins update and documentation, collections annotation in digital humanities, augmented reality or fact-checking. Recognizing a location can take many forms, from the production of an annotation to a 6D pose that also provides information on the location of the acquisition sensor. In the state of the art of computer vision, when no initial position is known, existing techniques are based on indexing and similarity search of visual content in a geolocalized image repository. Here, we study the generalization of this type of approach to 3D by considering 3D point cloud acquisition campaigns (notably LiDAR), which are becoming increasingly popular and whose richness in terms of geometry and semantics is attractive, but with a volume and diversity that are complex to handle. The internship is at the heart of the problem of indexing and retrieval in 3D point clouds for place recognition, through the study of deep 3D points cloud descriptors up to efficient retrieval and reranking for 3D pose estimation.


Skills


Bac+5 in computer science, applied math or computer vision (master or engineering school); good knowledge in image or 3D data processing, as well as strong skills in Python programming. Good skills in Apache Spark, hugging Face API, LLM, PyTorch, or functional programming is a significant plus.


Submitting your candidature


Before February 15th 2025, send by e-mail to the contacts in a single PDF file:
  • CV
  • motivation letter
  • 2 recommendation letters, or persons to contact
  • Transcript of grades from the last two years of study
  • A list of courses followed and passed in the last two years
Contact

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