November 20th, 2024 
Daniela Lopez de Luise ===================================
CALL FOR PAPERS: VisionDocs – WACV2025 (deadline extended)
Website: https://ai4ch.uniud.it/visiondocwacv25/
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We are glad to announce VisionDocs: 1st Workshop on Computer Vision Systems for Documents Analysis and Recognition, in conjunction with the “IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2025”.
Workshop Overview:
This workshop aims to encourage the development of new strategies to address the limitations of current document analysis systems, such as handling low-data environments, adapting to document classes with highly heterogeneous visual characteristics, and integrating multi-modal inputs for improved performance.
Call for papers:
Research papers are solicited in, but not limited to, the following topic areas:
· Document image processing
· Physical and logical layout analysis
· Text and symbol recognition
· Handwriting recognition
· Document analysis systems
· Document layout analysis
· Document classification
· Indexing and retrieval of documents
· Document synthesis
· Extracting document semantics
· Graphics Recognition
· Structured document generation
· Multimedia document analysis
· Recognition of tables and formulas
· Historical document analysis
· Document summarization and translation
· Document forensics and provenance
· Medical document analysis
· Document analysis for social good
· Document analysis for literature search
· Datasets and benchmarks of document analysis
· Data-efficient Document Analysis
· Multi-modal Document Analysis
Important Dates
· Paper submissions: 6 December, 2024 23:59 PST (deadline extended!)
· Author Notification: 19 December, 2024 23:59 PST
· Camera-ready: 10 January, 2025 23:59 PST
· Workshop dates: 28 February or 4 March 2025
For any additional information, please visit the website: https://ai4ch.uniud.it/visiondocwacv25/
Organizers:
Silvia Zottin, zottin.silvia@spes.uniud.it” target=”_blank”>zottin.silvia@spes.uniud.it
Axel De Nardin, axel.denardin@uniud.it” target=”_blank”>axel.denardin@uniud.it
Claudio Piciarelli, claudio.piciarelli@uniud.it” target=”_blank”>claudio.piciarelli@uniud.it
Gian Luca Foresti, gianluca.foresti@uniud.it” target=”_blank”>gianluca.foresti@uniud.it
AI4CH – Artificial Intelligence for Cultural Heritage Lab, University of Udine. https://ai4ch.uniud.it/
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