[visionlist] [CFP] SINT4CH: Spatial Intelligence for Cultural Heritage Workshop (in conjunction with CVPR 2025)

[Rocco Pietrini]

********************************
Call for Papers
*“Spatial Intelligence for Cultural Heritage”*
International Workshop at CVPR 2025
https://sint4ch.fbk.eu/ <https://sint4ch.fbk.eu/>
********************************
AIMS AND SCOPE
===============
The Spatial Intelligence for Cultural Heritage (SINT4CH) workshop 
explores the role of AI in preserving and interacting with historical 
artefacts and sites. By integrating perception, action and learning, the 
concept of spatial intelligence aims to advance the engagement with 
cultural heritage (CH). This workshop will explore topics such as 3D 
reconstruction, AI-driven restoration, and human-AI collaboration, with 
an emphasis on sustainable and ethical approaches to conservation. With 
progress in computer vision, robotic interaction, and large-scale 
language models, participants will explore techniques and future 
directions that augment human capabilities to ensure the long-term 
preservation and understanding of our CH. Papers accepted for 
presentation at the workshop will be published in a special issue of ACM 
Journal of Computing and Cultural Heritage.

Authors may find this call at: 
https://dl.acm.org/pb-assets/static_journal_pages/jocch/PDFs/ACM-JOCCH-CFP_SINT4CH-1745870264723.pdf
TOPICS
=======
The workshop calls for submissions addressing, but not limited to, the 
following topics:
*Spatial computing and AI for cultural heritage documentation and 
preservation*

  * Photogrammetry and laser scanning for heritage documentation
  * Automated feature extraction from large-scale heritage data
  * Temporal monitoring of heritage sites using AI
  * AI for historical map vectorization
  * Spatial data fusion for integrated heritage documentation (e.g.
    LiDAR, photogrammetry, satellite imagery) for more comprehensive
    documentation of heritage sites

*3D modelling, digital twins and virtual reconstructions of historic sites*

  * 3D laser scanning and point cloud processing for cultural heritage
  * AI-based reconstruction of incomplete or damaged heritage artefacts
  * Interactive digital twins for immersive site exploration
  * AI-enabled predictive modelling for virtual reconstructions
  * Collaborative virtual environments for heritage research and
    conservation

*GeoAI and GIS technologies for advanced spatial analysis in cultural 
heritage management*

  * GeoAI for predictive site discovery in archaeology
  * Spatial-temporal analysis of heritage landscapes using GIS and AI
  * Modelling the impact of climate change on heritage sites using GeoAI
  * Cultural landscape analysis using AI-enabled geospatial tools

*Remote sensing for CH site monitoring and conservation*

  * Drone and satellite images for surveying large heritage sites
  * Multispectral and thermal imaging for heritage analysis
  * AI-based image analysis for real-time site monitoring
  * LiDAR-equipped drones for 3D mapping of heritage sites

*AI for object recognition and analysis in archaeological contexts*

  * Deep learning for automatic 3D data classification
  * Object detection in satellite imagery for archaeological discovery
  * AI-based analysis of inscriptions and iconography
  * Machine learning for chronological dating of artefacts
  * Generative AI for completion or reconstruction of fragmented
    archaeological objects

*Ethical challenges and opportunities in digitizing cultural heritage*

  * Ethics of digitisation
  * Ownership of data and intellectual property in digital heritage
  * Balancing public access with preservation concerns
  * Ethical AI in the representation of sensitive cultural material.

IMPORTANT DATES
=================

  * Submissions deadline: May 15th, 2025
  * First-round review decisions: May 25th, 2025. For papers accepted,
    including those where minor or major revisions are requested,
    authors will be required to submit a 4-page version for the
    proceedings and present onsite their paper at the event.
  * Deadline for revision submissions: May 30th, 2025
  * Notification of final decisions: June 5th, 2025
  * Tentative publication: July 2025



SUBMISSION GUIDELINES
======================
Papers accepted for presentation at the workshop will be published in a 
special issue of ACM Journal of Computing and Cultural Heritage. ACM 
JOCCH‘s Special Issue on “Spatial Intelligence for Cultural Heritage” 
focuses on how to explore topics such as 3D reconstruction, AI-driven 
restoration, and human-AI collaboration in the cultural heritage sector, 
with an emphasis on sustainable and ethical approaches to conservation. 
Accepted papers will be presented during the workshop, while the Special 
Issue will be published by July 2025. Authors may find this call at: 
https://dl.acm.org/pb-assets/static_journal_pages/jocch/PDFs/ACM-JOCCH-CFP_SINT4CH-1745870264723.pdf.
Please follow the guidelines 
<https://dl.acm.org/journal/jocch/author-guidelines#templates2> for 
specific instructions on the submission format. Submissions will be done 
through the ACM JOCCH submission system 
<https://mc.manuscriptcentral.com/jocch>.
There is no maximum number of pages, and you should use the least number 
of pages necessary to adequately describe your results and place them in 
context. This is typically done in less than 20 pages.
Where papers are accepted to the Special Issue, authors will also 
provide a shortened version for the event’s proceedings.
For questions and further information, please contact *Prof.* *Marina 
Paolanti <marina.paolanti at unimc.it>.*
WORKSHOP MODALITY
====================
The workshop will be held in conjunction with CVPR 2025.
ORGANIZING COMMITTEE
======================

  * *Livio De Luca*, CNRS (Centre National de la Recherche Scientifique)
  * *Emanuele Frontoni*, University of Macerata, Italy
  * *Marina Paolanti*, University of Macerata, Italy
  * *Roberto Pierdicca*, Università Politecnica delle Marche, Italy
  * *Rocco Pietrini*, Università Politecnica delle Marche, Italy
  * *Fabio Remondino*, 3D Optical Metrology - Bruno Kessler Foundation
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