IAPR TC11 Newsletter 2024 07
July, 2024
Click on the buttons below to view sections of the newsletter.
- Message from the Editor
- Dates and Deadlines
- Deadlines
- Upcoming Conferences and Events
- Open Call for Organizing DAR Events *(repost)*
- IAPR/ICDAR Young Investigator Award - Recipient Announcement
- 2025 ICDAR-IJDAR Journal Track - Preliminary Call for Papers
- Postdoctoral position in Computer Vision, Machine Learning and Document Analysis in Luleå, Sweden *(repost)*
- PhD position in Computer Vision, Machine Learning and Document Analysis in Luleå, Sweden *(repost)*
- Datasets
- TC11 Datasets Repository
- Recently published datasets *(repost)*
- Where to share datasets
- TC11 Datasets Repository
Dear TC11 members,
In this light summer newsletter issue, I would like to remind all of you that our main event of the year, ICDAR 2024, is in less than a month. I hope it will be both enjoyable and beneficial to all of you. Please look forward to the many interesting workshops, tutorials and the main presentation and poster sessions that will take place during this ICDAR. Moreover, the IAPR/ICDAR young investigator award will be announced, followed by a keynote speech of the award recipient.
This issue includes an important call for papers for the IJDAR journal track of ICDAR 2025. It also includes reposts of still-open job offers for post-doc and PhD positions at LTU in Luleå, Sweden. I repost here as well the open call for organizing our major DAR events that will be held in the coming years, and the recently published datasets in the field of document analysis and recognition.
Enjoy your summer!
Nibal Nayef, TC11 Communication Officer
( n.nayef@gmail.com )
Join us! If you are not already a member of the TC11 community, please consider joining the TC11 mailing list. Follow us on X (Twitter) (iapr_tc11): https://twitter.com/iapr_tc11
Deadlines
2024
- Nov 15 IJDAR Journal track paper submission
Upcoming Conferences and Events
2024
- ICDAR 2024. Athens, Greece (August 30 - September 4, 2024)
- TPDL 2024. Ljubljana, Slovenia (September 24-27, 2024)
- ICPR 2024. Kolkata, India (December 01-05, 2024)
The IAPR technical committees on graphics recognition (TC10) and reading systems (TC11) are regularly organizing scientific events for the Document Analysis and Recognition (DAR) community, including the ICDAR flagship conference.
In addition to specific calls for bids to host one of the events, we encourage teams to announce their interest in organizing one of the following events:
- ICDAR: International Conference on Document Analysis and Recognition (annually; next possibility in 2027)
- DAS: International Workshop on Document Analysis Systems (satellite event of ICDAR in even years; next possibility in 2026)
- GREC: International Workshop on Graphics Recognition (satellite event of ICDAR in odd years; next possibility in 2025)
- SSDA: Summer School on Document Analysis (biannually in odd years; next possibility in 2025)
You may find the details of each specific call in the previous or future issues of this newsletter or in the respective websites of each event.
Anyone interested in hosting one of these events is invited to announce their interest via email to jean-christophe.burie@univ-lr.fr and andreas.fischer@unifr.ch, in order to receive feedback and support for preparing a proposal.
Jean-Christophe Burie (Chair, TC10)
Andreas Fischer (Chair, TC11)
The IAPR/ICDAR Award Program is an established program designed to recognize individuals who have made outstanding contributions to the field of Document Analysis and Recognition in one or more of the following areas:
- Research
- Training of students
- Research/Industry interaction
- Service to the community
The IAPR/ICDAR Young Investigator Award is presented biannually in even years. Recipients need to be less than 40 years old at the time the award is given.
The recipient of the award of 2024 is:
Dr. Vincent Christlein, for outstanding contributions in handwriting recognition applied to forensics and historical documents.
Congratulations!
The award will be presented at ICDAR 2024, followed by a keynote speech of Dr. Christlein.
Jean-Christophe Burie and Andreas Fischer
TC10 and TC11 Chairs
This is a call for papers for the IJDAR journal track of ICDAR 2025. Please note that there is both a standard conference paper track and a journal track at ICDAR 2025. The details regarding the journal track maybe found as a separate Call for Papers in the following link:
https://www.icdar2025.com/submission/journal-track
(As the call is preliminary, please keep checking the link for updates).
IJDAR Journal Track Important Dates
- Nov 15, 2024: Journal track paper submission deadline
- Jan 10, 2025: Initial journal track decision announced
- Mar 14, 2025: Journal track paper revise submission deadline
- May 23, 2025: Final notification
IJDAR Journal Track Submission Guidelines:
Authors should submit their papers via the ICDAR 2025 collection on the IJDAR website. Please choose ICDAR 2025 from the collection dropdown on the “Details” page of the submission process. Submitted papers should present original, unpublished work, relevant to one of the topics of the Special Issue. All submitted papers will be evaluated on the basis of relevance, significance of contribution, technical quality, scholarship, and quality of presentation, by at least three independent reviewers. It is the policy of the journal that no submission, or substantially overlapping submission, be published or be under review at another journal or conference at any time during the review process. Manuscripts will be subject to a peer reviewing process and must conform to the author guide lines available on the IJDAR website.
Publication: Springer Lecture Notes in Computer Science
The conference proceedings will be published as part of the Springer Lecture Notes in Computer Science (LNCS) series. Accepted papers will be freely available through SpringerLink from the conference website for one year after publication, and will later be freely available through SpringerLink four years after publication.
The Machine Learning Research subject at LTU has an open scholarship position available in the area of Machine Learning and Computer Vision with a focus on Document Analysis. We offer state-of-the-art resources for performing research and a good academic network in Sweden and abroad. The Post-Doc Scholarship is for two years, and is for work in Luleå, Sweden.
The postdoctoral researcher will work with Professor Elisa Barney on computer vision research to use Machine learning and Image Processing on historical documents. Potential techniques include unsupervised learning, one-shot learning and quick system adaptation. Document comparison and retrieval are also topics of interest. The Post-Doc should furthermore strongly participate in acquisition of future projects, which could lead to an extension of the position.
QUALIFICATIONS
To qualify for a position as a postdoctoral research fellow on scholarship, you must have a PhD or equivalent in the fields of computer science, computer engineering or electrical engineering, although a researcher from the humanities with a strong technical background would be considered. We are looking for an enthusiastic candidate capable of conducting state-of-the-art research as demonstrated through a record of peer reviewed publications. We expect candidates to have a good knowledge of English both in speech and writing and have the capacity to work independently as well as in teams. As LTU is very strong in application-oriented research, industrial experience is very welcome. The Machine Learning group is very diverse and welcomes diverse applicants.
APPLICATION
We prefer that you apply for this position through the web link below. The application must include a CV and a personal letter stating topics you propose to work on including how they fit in with current research in the ML group and of Professor Elisa Barney in particular, and how you view the role of a postdoctoral researcher as part of a research team. Also include copies of verified diplomas from universities. Your application, including diplomas, must be written in English. Mark your application with the reference number below.
INFORMATION
For further information, please contact: Professor Elisa Barney, elisa.barney@ltu.se
Applicants will be reviewed as they come in. Final day to apply: 2024-09-15
Reference number: 1811-2024
Apply here: https://bit.ly/4eauhGG
The Machine Learning Research subject at LTU has an open PhD position in the area of Machine Learning and Computer Vision with a focus on Document Analysis. We offer state-of-the-art resources for performing research and a good academic network in Sweden and abroad.
The doctoral student will work with Professor Elisa Barney on computer vision research to use Machine learning and Image Processing on historical documents. Potential techniques include unsupervised learning, one-shot learning and quick system adaptation. Document comparison and retrieval are also topics of interest.
The candidate is expected to perform both experimental and theoretical work as well as communicate results at national and international conferences and in scientific journals. The PhD position is a full time position for 4 years and comes with full Swedish social benefits for you, and if applicable your family. Most of your working time will be devoted to your own research studies, within a team of other PhD students and postdoctoral researchers. If the candidate participates in departmental activities, like teaching, this can be extended to 5 years. Work is to be done in Luleå, Sweden.
QUALIFICATIONS
We are looking for a very motivated and enthusiastic doctoral student who wants to conduct state-of-the-art research. You must have a master’s degree in computer science or similar subject. Experience with machine learning, deep learning and statistics is required. You must have good knowledge of English in both speech and writing and have the capacity to work independently as well as in teams. As LTU is very strong in application-oriented research, industrial experience is very welcome. The Machine Learning group is very diverse and welcomes diverse applicants.
APPLICATION
Applications for this position should be made through the web link below. The application must include a CV and a personal letter stating how your experience gives you background to work on topics being worked on by Prof Barney. Also include copies of verified diplomas from high schools and universities. Your application, including diplomas, must be written in English or Swedish. Mark your application with the reference number below.
INFORMATION
For further information, please contact: Professor Elisa Barney, elisa.barney@ltu.se
Applicants will be reviewed as they come in. Final day to apply: 2024-08-30
Reference number: 2011-2024
Apply here: https://bit.ly/3VblXOh
TC11 Datasets Repository
Recently published datasets (repost)
M-POPP datasets: Datasets for full page text recognition and information extraction from French handwritten and printed marriage records.
- Contributed: 2024-05-25
- Keywords: handwriting recognition, named entity recognition, information extraction, document understanding
BRESSAY: A Brazilian Portuguese Dataset for Offline Handwritten Text Recognition
- Contributed: 2024-06-08
- Keywords: computer vision, brazilian portuguese essays, handwritten text recognition
MapText: ICDAR’24 Competition on Historical Map Text Detection and Recognition
- Contributed: 2024-06-14
- Keywords: Text detection, text recognition, text linking, historical maps
Did you know it? We have two official places for datasets:
- Our historical platform for storage and listing: http://datasets.iapr-tc11.org
- A Zenodo community (if you choose to submit your datasets there): https://zenodo.org/communities/iapr-tc11
TC11 maintains a collection of datasets that can be found online in the TC11 Datasets Repository.
If you have new datasets (e.g., from competitions) that you wish to share with the research community, please use the online upload form. For questions and support, please contact the TC11 Dataset Curator (contact information is below).
Joseph Chazalon (TC11 Dataset Curator)
( joseph.chazalon@lrde.epita.fr )
Call for Contributions: To contribute news items, please send a short
email to the editor, [Nibal Nayef](mailto:n.nayef@gmail.com).
Contributions might include conference and workshop
announcements/updates/reports, career opportunities, book reviews, or anything
else of interest to the TC-11 community.
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