CALL FOR PAPERS: VisionDocs – WACV2025

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·        Historical document analysis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: 22 November, 2024 23:59 PST
• 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

Axel De Nardin, axel.denardin@uniud.it 

Claudio Piciarelli, claudio.piciarelli@uniud.it

Gian Luca Foresti, gianluca.foresti@uniud.it

AI4CH – Artificial Intelligence for Cultural Heritage Lab, University of Udine. https://ai4ch.uniud.it/