TCSVT CFP Special Issue on Large Language Models (LLMs) for Video Understanding

Dear Colleagues,

I would like to bring your attention to the special issue on IEEE T-CSVT. You can find the Call for Papers at the following link: https://ieee-cas.org/files/ieeecass/2024-10/TCSVT%20SI%20CFP.pdf.

The submission deadline is December 1, 2024.

Best regards,

Jungong Han

CfP: Creating and Updating Digital Twins for Enabling XR Applications (Special Session at IEEE AIxVR) – Final deadline extended to Oct. 31st

Call for Papers: Creating and Updating Digital Twins for Enabling XR Applications

 

Special Session at IEEE AIxVR 2025

January 27-29, 2025, Lisbon, Portugal

 

Conference: https://aixvr.tecnico.ulisboa.pt/

Special session: https://didymos-xr.eu/news/creating-and-updating-digital-twins-for-enabling-xr-applications/

 

Digital twins of city spaces, landmarks or industrial environments are important enablers of VR and AR applications in domains such as city planning and maintenance, tourism, media, manufacturing and logistics. Creating high fidelity representations of the real world, and in particular keeping them up-to-date, is still a costly process. Leveraging data that can be captured at low cost, e.g. from vehicles driving through the space to be captured, from robots navigating in the environment, or from consumer media, could significantly reduce the costs and allow for the detection of changes and more frequent updates of digital twins. AI-based methods for 3D reconstruction and scene understanding are enablers for this process.

 

Topics of interest for this Special Session include, but are not limited to:

 

·         3D reconstruction from “in the wild data”

·         Improvement of 2D/3D data representation (e.g., superresolution) in order to update the quality of the resulting digital twin

·         Multimedia analysis for understanding scene semantics and dynamicity

·         Multimodal datasets for digital twin creation and scene understanding

·         Generative AI and foundation models for digital twin creation and/or synthetic data generation

·         Combining synthetic and real data for improving scene understanding

·         Optimized multimedia content analysis for real-time and low-latency XR applications

·         Human interfacing and interaction optimization

·         Privacy and security aspects and mitigations for captured content used for digital twin creation/update

 

The submissions to this session can be:

 

·         Long papers describing novel methods or their adaptation to specific applications or

·         Short papers describing emerging work or open challenges.

 

The review process and the paper lengths and formatting follows the rules of the main conference. The papers will be published in the main conference proceedings, published by IEEE.

 

Submission is done via the main conference submission system (https://easychair.org/my/conference?conf=ieeeaixvr2025).

 

Authors are expected to present their papers on-site at AIxVR.

 

Important dates:

·         Paper submission: EXTENDED TO October 31, 2024

·         Notification: November 26, 2024

·         Camera ready paper: December 15, 2024

·         Conference: January 27-29, 2025

 

Session organisers:

·         Werner Bailer, JOANNEUM RESEARCH, Austria

·         Gerasimos Arvanitis, University of Patras, Greece

·         Imad H. Ehajj, American University of Beirut, Lebanon

·         Panos K. Papadopoulos, CERTH, Greece

·         Tariqul Islam, DigitalTwin Technology, Germany

 

1st Workshop on Graph-Based Knowledge Extraction from Real-World Data – deadline: 23 Oct 2024


1st Workshop on Graph-Based Knowledge Extraction from Real-World Data

@

 IEEE AI x DKE


[paper submission deadline: 23 Oct 2024]

We cordially invite you to participate in the 1st Workshop on Graph-Based Knowledge Extraction from Real-World Data, to be held in conjunction with the prestigious 2024 IEEE International Conference on Artificial Intelligence for Data & Knowledge Engineering (AIDKE), scheduled for December 11-13, 2024.

This workshop aims to bring together researchers and practitioners in the field of graph-based knowledge extraction to share the latest research and advancements in this domain. We will address timely topics including:

-Modeling complex systems with graphs
-Role of graphs in biology, finance, and communication networks
-Techniques for graph construction from raw data
-Large-scale graph processing and distributed algorithms
-Foundations of graph theory and its application to Graph Neural Networks
-Theoretical underpinnings of Graph Neural Networks
-Application of Graph Neural Networks  for real-world data analysis
-Representation of real-world data through graphs
-Advances in Graph Neural Networks  architectures and training techniques
– Knowledge extraction in bioinformatics, financial systems, social networks, ecological informatics, biomedical engineering and cybersecurity
– Integration of Graph Neural Networks  with other machine learning models
– Graph Neural Network Explainability

Why attend?

Expand your knowledge: Interact with world-renowned experts and stay updated on the latest trends in the field.

Present your work: Submit your research contributions and engage with the academic community.

Forge collaborations: Establish new synergies and initiate fruitful research collaborations.

Important deadlines:

Paper submission: October 23, 2024

For further information and to submit your paper, please visit the workshop website: https://sites.google.com/icar.cnr.it/graph-based-knowledge

We look forward to your valuable contributions.

Sincerely,

CFP – 7th Workshop on Accelerated Machine Learning (AccML) at HiPEAC 2025

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7th Workshop on Accelerated Machine Learning (AccML)
Co-located with the HiPEAC 2025 Conference
January 21, 2025
Barcelona, Spain
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28 DE OCTUBRE – 8º conferencia – Ciclo de Conferencias en Plenario 2024 – Dr. Luis A. Quesada Allué

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