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Overview

In this age of progressive digitalization, the ability to analyze documents in an automated way is gaining increasing importance in our everyday lives. The impact of Document Analysis is growing both in industrial and cultural settings, leading to the need for AI systems capable of analyzing highly diverse documents, characterized by differences in languages, geographical and temporal origins, as well as varied visual appearances, writing styles, and layouts across different domains.

While significant progress has been made in recent years, much of the research still focuses on a narrow subset of documents and tasks, leaving many areas of Document Analysis under-explored.

This workshop aims to encourage the development of new strategies to address the limitations of current 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 of paper

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
  • Multimedia document analysis
  • Indexing and retrieval of documents
  • Document synthesis
  • Extracting document semantics
  • Graphics Recognition
  • Structured document generation
  • Historical document analysis
  • Document summarization and translation
  • Recognition of tables and formulas
  • Document forensics and provenance
  • Medical document analysis
  • Document analysis for social good
  • Datasets and benchmarks of document analysis
  • Multi-modal Document Analysis

Keynote Speaker

Vincent Christlein

Lead the Computer Vision group at the Pattern Recognition Lab, Friedrich-Alexander University of Erlangen-Nurnberg, Germany. He received his diploma and Dr.-Ing. degrees from FAU in 2012 and 2018, respectively. His primary research focus is on document analysis, including writer identification and handwriting imitation, as well as environmental projects such as glacier front segmentation and bird detection. In the field of document analysis, his work has earned recognition through several international competition wins and multiple awards.

Rita Cucchiara

Full Professor at the University of Modena and Reggio Emilia in the Department of Computer Engineering and Science since 2005. She directs the AImage laboratory, which brings together more 40 researchers who are involved in research fields in artificial intelligence such as computer vision, pattern recognition, in-depth learning and multimedia, as well as in the areas of surveillance, automotive, document analysis, and human-robot interactions. Rita Cucchiara is since 2015 an Advisory Board Member of the Computer Vision Foundation, CVF as PC of ICCV2017 and GC of CVPR2024 and is in the European Computer Vision Alliance Governing board as GC of ECCV2022. Ms. Cucchiara has been president of the Italian association CVPL, published more than 400 articles, and has been a keynote speaker at numerous scientific conferences. In the field of document analysis, his work has gained many publications, he has organized workshops on the topic and created several challenges.

Submission

We invite researchers to submit their original and unpublished work related to the workshop's theme. Authors can submit either full papers (max 8 pages + reference) or short papers (max 4 pages + reference), following the WACV 2025 formatting guidelines. Accepted full papers will published under the WACV 2025 workshop proceedings.

All submissions should be compiled for double-blind review, adopt the standard main conference WACV 2025 template.

Accepted papers will be presented during the workshop as oral presentations or posters.

Submission site: https://cmt3.research.microsoft.com/VISIONDOCS2025

Important Dates

  • Paper submissions: 22 November, 2024 23:59 PST 6 December, 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

Info and Contact

Partial financial support was received from Strategic Departmental Plan on Artificial Intelligence, DMIF, University of Udine.