ICIP 2024: Introducing the 12 Workshops – Including the Big Visual Data Analytics (BVDA) Workshop, 27-30 October 2024, Abu Dhabi, UAE

April 30th, 2024 Daniela Lopez de Luise

Dear researchers and practitioners of big visual data analytics,

 

We are pleased to announce one of the twelve ICIP 2024 Workshops, the Big Visual Data Analytics (BVDA) Workshop, scheduled to take place from 27 to 30 October 2024, in Abu Dhabi, UAE. The BVDA Workshop aims to explore this rapidly evolving field encompassing cutting-edge methods, emerging applications, and significant challenges in extracting meaning and value from large-scale visual datasets.

 

All accepted contributions will be published in IEEE Xplore. The paper submission deadline is May 9, 2024.

For further details and submission instructions, please visit: https://icarus.csd.auth.gr/cfp-bvda-icip24-workshop/

 

 

Workshops

  • Big Visual Data Analytics (BVDA)
  • International Workshop on Hyperspectral and Multispectral Imaging on Agriculture and Geo Applications
  • SPVis: Security and Privacy of Machine Learning-based Vision Processing in Autonomous Systems
  • Embodied AI: Trends, Challenges, and Opportunities – EMAI
  • 2nd Workshop on 3D Computer Vision and Photogrammetry (3DCVP)
  • Learning-by-Myself (LbM): Self-supervised learning in biosignals and biomedical image processing
  • Biomedical Imaging & Diagnostics (BID) Workshop: Innovations in Biomarkers, Digital Pathology, & Radiology
  • Integrating Image Processing with Large-Scale Language/Vision Models for Advanced Visual Understanding
  • 1st Workshop on Intelligent Crowd Engineering (ICE)
  • Visual and Sensing AI for Smart Agriculture
  • AI4IPoT: AI for Image Processing Applications on Traffic: Advancements, Challenges, and Opportunities
  • Analysis of OCT Signals and Images: From Signal Formation to Practical Applications

To learn more about how to participate in each workshop, visit their web pages available here.

 

 

 

Organizers of BVDA Workshop

 

Prof. Ioannis Pitas: Chair of the International AI Doctoral Academy (AIDA), Director of the Artificial Intelligence and Information analysis (AIIA) Lab,

Aristotle University of Thessaloniki, Greece.

 

Prof. Massimo Villari: University of Messina, Italy.

 

Dr. Ioannis Mademlis: Postdoctoral researcher at the Harokopio University of Athens.

 

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