View
3
Download
0
Category
Preview:
Citation preview
TC10 and TC11Overview, current status
Data compiled in Q4 2019
Membership
15371544
1039 1039 10571057
894
1204
1235
1210
116154
0
200
400
600
800
1000
1200
1400
1600
1800
01
/06
/20
11
01
/09
/20
11
01
/12
/20
11
01
/03
/20
12
01
/06
/20
12
01
/09
/20
12
01
/12
/20
12
01
/03
/20
13
01
/06
/20
13
01
/09
/20
13
01
/12
/20
13
01
/03
/20
14
01
/06
/20
14
01
/09
/20
14
01
/12
/20
14
01
/03
/20
15
01
/06
/20
15
01
/09
/20
15
01
/12
/20
15
01
/03
/20
16
01
/06
/20
16
01
/09
/20
16
01
/12
/20
16
01
/03
/20
17
01
/06
/20
17
01
/09
/20
17
01
/12
/20
17
01
/03
/20
18
01
/06
/20
18
01
/09
/20
18
01
/12
/20
18
01
/03
/20
19
01
/06
/20
19
01
/09
/20
19
Membership TC11
Mailing list Twitter Followers
Membership TC10
170
Structure
Chair: Dimosthenis Karatzas
Vice chair: Gernot Fink
Dataset curator: Joseph Chazalon
Communications: Andreas Fischer
Education officer: Michael Blumenstein
Chair: Alicia Fornés
Vice chair: Jean-Christophe Burie
Dataset curator: Partha Pratim Roy
Communications: Christophe Rigaud
Education officer: K.C. Santosh
Webmaster: Muzzamil Luqman
DAR Events
119
0
378
99
129
387
106
150
500
145 150
0
126
151
464
141 140
433
0
100
200
300
400
500
600
DAS2008
ICFHR2008
ICDAR2009
DAS2010
ICFHR2010
ICDAR2011
DAS2012
ICFHR2012
ICDAR2013
DAS2014
ICFHR2014
ICDAR2015
DAS2016
ICFHR2016
ICDAR2017
DAS2018
ICFHR2018
ICDAR2019
Participants
Participants in TC10/11 events
Participants Flow
Submissions to TC10/11 events
115
161
454
91
162
422
131158
429
138
192
401
162135
409
131 125
403
80
118
277
65
117
278
91
132
265
73
127
234
7899
212
7797
228
24 3987 28 37 88 36 48 81
27 40 90 32 33 52 32 32 520
100
200
300
400
500
DAS2008
ICFHR2008
ICDAR2009
DAS2010
ICFHR2010
ICDAR2011
DAS2012
ICFHR2012
ICDAR2013
DAS2014
ICFHR2014
ICDAR2015
DAS2016
ICFHR2016
ICDAR2017
DAS2018
ICFHR2018
ICDAR2019
Submissions
Submitted Accepted Oral
Acceptance Rates of TC10/11 events
0.0%
10.0%
20.0%
30.0%
40.0%
50.0%
60.0%
70.0%
80.0%
90.0%
2008-09 2010-11 2012-13 2014-15 2016-17 2018-19
Acceptance Rates
ICDAR Acceptance Rate ICDAR Oral Acceptance Rate DAS Acceptance Rate
DAS Oral Acceptance Rate ICFHR Acceptance Rate ICFHR Oral Acceptance Rate
TC10/11 Conference Quality
ICDAR (biannual): CORE A
ICFHR, DAS (biannual): CORE B
GREC (biannual): not listed
cf.
ICPR (biannual): CORE B
CVPR (annual): CORE A*
ICCV (biannual): CORE A*
Program Chairs (2008 – 19)
Participation in top roles (organisers / program Chairs)
Participation in Organising Committees
# DAR Papers in non-IAPR Forums
2
5 4
1
5 4 57
11 112
5
4
9
1
22
4
9
2
8
4
24 1
1
2
2
0
5
10
15
20
25
30
35
2010 2011 2012 2013 2014 2015 2016 2017 2018 2019
# P
ub
licat
ion
s ACMM
ACCV
ECCV
ICCV
CVPR
DAR Topics in non-IAPR Forums
7517
2
3
3
4
43
1 4 3
Scene Text
Document restoration
Document understanding
Finegrained classification
Forensics
Human-Document Interaction
OCR
Graphical documents
Font recognition
Handwriting recognition
Text style
Other offerings of DAR events• Organised by TC10/11 members
• CVPR2020 Workshop on Text and Documents in the Deep Learning Era• Satellite to CVPR• https://cvpr2020text.wordpress.com/
• IWRR – Int. W. on Robust Reading (2014, 2016, 2018)• Satellite to ACCV and ECCV• http://www.cvc.uab.es/iwrr2018/
• ASAR – Int. W. on Arabic and derived Script Analysis and Recognition (2017, 2018, 2019)• Co-sponsored by IEEE• https://asar.ieee.tn/
• DataDoc – Summer School on data science for document analysis and understanding (July 1-26, 2019)• https://datadoc.univ-lr.fr/
• Other events of interest• Document Recognition and Retrieval (DRR)
• http://drr2016.loria.fr/
• ACM DocEng• https://doceng.org/doceng2019/
• Document Intelligence 2019• Satellite to NeurIPS 2019• https://www.aclweb.org/portal/content/document-intelligence-2019-workshop-neurips
Calendar of Events
DAS 2020
May 17-20
Wuhan,
China
ICFHR 2020
September 8-10
Dortmund,
Germany
ICDAR/GREC 2021
September 5-10
Lausanne,
Switzerland
DAS 2022
???
???
ICFHR 2022
September 8-10
Hyderabad,
India
ICPR 2022
(Montreal, Canada)
Summer School
???
???
CVPR 2019 (Long
Beach, USA)
CVPR 2018 (Salt
Lake City, USA)
2017 2018 2019 2020
ICDAR 2017
Nov. 13-15
Kyoto, Japan
DAS 2018
24-27 April
Vienna, Austria
ICFHR 2018
August 5-8
Niagra Falls, USA
ICPR 2018
(Beijing, China)
ICPR 2020
(Milan, Italy)
ICDAR 2019 /
GREC
September 22-25
Sydney, Australia
ICCV 2019
(Seoul, Korea)
2021 2022
Forthcoming bids
Summer School 2021 : Q4 2019 (published)
ICDAR 2025 : during 2020
ICFHR 2024 : Q1 2020
DAS 2022 : Q3 2020
ICDAR 2019 survey
Main Conference
Main Conference
• Posters too close
• Orals too long (spotlights better)
• Quality of some posters better tan some orals
• Rather expensive (registration, hotels, extra tickets)
• Info (program, rooms, social events…) too late (some already had the flights)
• Proceedings available (online) before the event starts
• Scientific quality sometimes low (old topics such as binarization, or simply engineering to reach 1% better than SoA)
• Papers describing datasets should not receive best paper awards
Program
• Posters too close
• Some posters without presenter
• Journal sessions NOT overlapped!
• Low quality of some papers
• Track for VIDEOs
• Posters in the afternoon → low attendance
Review Process
Review Process
Review Process
• Reviews low quality, based on opinions, not facts, reading too fast
• Reviews of workshops of low quality
• Area chairs should take care of poor reviews
• Rebutals are ignored
• Open review
Journal Track
• Authors who submitted:• Good initiative
• Some journal papers of lower quality than some orals
• Reviewers no aligned with the CFP of this journal track
• Process review long
• Instead of IJDAR → PR is more attractive
• Other comments:• Start earlier (CFP and submission)
• No coherence in the sessions for IJDAR (no common topic)
Workshops
GREC 2019: The 13th IAPR International Workshop on Graphics Recognition
HIP: The 5th International Workshop on Historical Document Imaging
ICDAR-OST: The 2nd International Workshop on Open Services and Tools for Document Analysis
FDAR: 2nd Future of Document Analysis and Recognition Workshop
HDI 2019: The 2nd International Workshop on Human-Document Interaction
CBDAR: The 8th International Workshop on Camera-Based Document Analysis and Recognition
ICDAR-WML: The 2nd International Workshop on Machine Learning
ASAR 2019: The 3rd International Workshop on Arabic and derived Script Analysis and Recognition
WIADAR: Workshop on Industrial Applications of Document Analysis and Recognition
IWCDF 2019: Second International Workshop on Computational Document Forensics
Workshops
• Too many interesting workshops in parallel
• Some rooms too small
• Workshop schedules before the travel arrangements
• Workshops should be merged in main tracks
• ICDAR-OST needs more time
• GREC again more fun and informative than expected (the best part of ICDAR)
• More time for discussions (like in forensics)
• HIP: the quizz very good
• WIADAR (Industrial apps) needs more promotion
• Most workshops with low quality papers
• Worshop should be a place to discuss, not to present rejected papers
• Some high quality papers could go in main ICDAR tracks (HIP, CBDAR, WML)
Tutorials
A. GMPRDIA: Graph-based Methods in Pattern Recognition and Document Image Analysis Recognition
B. Vision and Language: the Text Modality in Computer Vision
C. Deep Learning for Document Analysis, Text Recognition, and Language Modeling
D. Creating a Reproducible Research Environment
E. The NLP Canvas and AQuA System for Documents
• Tutorial schedules before the travel arrangements
• The Deep learning workshop ( C ) was too basic
Competitions
• Good innitiative• Too many competitions• Too many specialized topics (low impact)• Deadlines too close to the conference• Longer time periods (timeline)• More visibility• More continuity• Competition session longer. Winners more time to explain the method,
participants have time to talk to each other• Organizer: competition chairs slow responding, website not properly
updated
Doctoral Consortium
• Good innitiative, very useful for students
• Attendance very low (only some mentors)
• Reduce overlapping with other activities to increase participation
• Mentors not giving feedback to the student
• Mentoring period too short (and half time lost because of holidays)
• Instead of explaining the poster, do exercice/game
• Update the presentation made to students
• Info on contributions, writing, career preparation…
• Special track for phd supervisors ;-)
TC10/11 Education / Training
Doctoral Consortium
0
5
10
15
20
25
30
20112013
20152017
2019
Students Mentors
1st IAPR TC10 / TC11 Summer School on Document Analysis: Document Informatics
• Organizers: Santanu Chaudhury (India), Venu Govindaraju(USA), C. V. Jawahar (India)
• Participating students: 80 (69 Indian, 11 international)
• Program overview:
• Lectures of invited speakers (4 Indian, 4 international) from academia and industry on
• indexing of large document collections,
• content representation and manipulation,
• information and document retrieval,
• machine learning and analytics for large document repositories
• Hands-on practical sessions accompanying lectures
• Poster presentations by participating students
• Social events (sightseeing tours, banquet)
Birla Institute, Jaipur, India, January 23-28, 2017
http://cvit.iiit.ac.in/SSDA/
2nd IAPR TC10 / TC11 Summer School on Document Analysis
• Organizers: Jean-Marc Ogier, Jean-Christophe Burie
• Participating students: 25 (France, Austria, Tunisia, Indonesia, Vietnam, Pakistan, Finland, Sweden, Germany, and Italy)
• Program overview:
• Lectures of invited speakers (4 French, 5 international) from academia and industry on
• Content representation and manipulation
• Document indexing/retrieval in large corpus of documents
• Machine learning for document analysis and understanding
• Review of OCR methods and handwriting recognition techniques
• Historical documents and new challenges
• Human document interactions
• Text and graphics recognition in a complex environment
La Rochelle, France, July 2-6, 2018
http://cvit.iiit.ac.in/SSDA/
3rd IAPR TC10 / TC11 Summer School on Document Analysis: Document Informatics
• Theme: Deep Learning Applications for Document Analysis
• Organizers: Pakistan Pattern Recognition Society (PPRS) –Faisal Shafait
• Participating students: 129 (30 Industry, 6 international students, 93 local students)
• Programming competition: Sketch recognition system, over the 4 days of the school
• Poster Competition
• Scholarships: 13 grants (disadvantaged backgrounds, remote areas, academic excellence, international)
National University of Sciences and Technology (NUST), Islamabad, Pakistan,
August 19-23, 2019
www.pprs.org.pk/events/ssda2019.html
Tutorials
2
3
2 2
3
4
3
5
0
1
2
3
4
5
6
DAS2014
ICFHR2014
ICDAR2015
DAS2016
ICFHR2016
ICDAR2017
DAS2018
ICFHR2018
ICDAR2019
# Tu
tori
als
TC10/11 Resources
Datasets (TC11)
Competitions
22
19
11
25
27
0
5
10
15
20
25
30
ICDAR 2011 ICDAR 2013 ICDAR 2015 ICDAR 2017 ICDAR 2019
# C
om
pe
titi
on
s
Summary of the Dicsussions2nd Workshop on the Future of
Document Analysis and Recognition
Dimosthenis Karatzas (Computer Vision Centre, Spain)
C.V. Jawahar (IIIT, India)
Koichi Kise (Osaka Prefecture Univ., Japan)
Towards a Vision for the Future
• Joint Planning• Improve the Decision Making Process• Broaden the Research Themes• Strengthen the Community and Improve the Diversity• Improve the Impact of Research / Publications• Identify and Solve Grand Challenges
http://www.cvc.uab.es/fi2019/files/Future_of_DAR_v01.pdfGet the white paper here:
Discussions on Kialo
1. ICDAR / ICFHR / DAS / GREC into a single, annual conference
2. Decision making process like the model of TC PAMI’s CVPR / ICCV.
3. ICDAR / IJDAR journal track
4. ICDAR is still a good name
5. ICDAR should not accept non-image analysis papers
http://www.cvc.uab.es/fi2019/?c=technical
Participate:
Deadline: October 31st
Kialo Discussion #1
We should fuse ICDAR / ICFHR / DAS / GREC into a single, annual conference.On even years, our community celebrates three different events: ICFHR, DAS and GREC, while in parallel the key conference of IAPR is organised. GREC is already co-located with ICDAR. ICFHR and DAS are quickly growing into fully fledged conferences. ICFHR started as a workshop series and was formally renamed into a conference in 2008, while it organises a full range of satellite activities. DAS’ workshop character is maintained basically through the work group discussions. Between the two events, they gather about 300 participants (there is certain overlapping, although many people have to select one or two of the many events organised in even years). Do you think that organising a single, big conference every year, maybe collocating these events to start with, would serve the community better?
Kialo Discussion #2
We should adopt a decision making process in the community involving increased direct participation of a general assemblyThe IAPR DAR community comprises the members of TC10 and TC11. The TC10and TC11 chairs can decide on the structure of their leadership teams. ICDAR hasan advisory board, which provides feedback to TC10 and TC11 chairs. The TC10/11meeting that takes place during ICDAR tends to be informative, and only involvesthe community (all registered participants), in the voting of the next venue forICDAR.
Other communities, like the TC PAMI, make use of a general assembly with widerdecision powers. Any member of the community can bring a motion for vote tothe general assembly. The vote result is binding.
Both models have advantages and disadvantages. Do you consider that we shouldrevise the decision making process of our community, to enable more directparticipation for a general assembly?
Kialo Discussion #3
A journal publication should be linked with the ICDAR conference. The ICDAR / IJDAR track introduced in 2019 is a good idea.In some countries, it is more important to have journal publications than conference ones. Thus journal publications are combined with the conferences (instead of “proceedings”, special issues are produced for example). In ICDAR 2019 we started a “journal track” which provides space in the conference to present a paper accepted previously at IJDAR.
Kialo Discussion #4
ICDAR is still a good name for the conference. It projects well our activity to the rest of the research community.Is “document analysis” a topic that resonates well? In other cycles, like machine learning or computer vision conferences, this seems to be growing “old” being associated with half a century old OCR research.
The term “document” is understood by our community as a non-restrictive term that refers to any type of written communication (e.g. we all accept reading text in scene images as a valid topic for ICDAR), but maybe the term is not perceived in the same way in other communities, making us the “paper OCR people”.
At the same time, there seems to be renewed interest in “document analysis” elsewhere: the topic resurged as a subject area in CVPR 2019 for example, while a workshop on “Document Intelligence” is organised in the context of NeurIPS 2019.
Kialo Discussion #5
Papers that do not explicitly involve image analysis should NOT be accepted in ICDAR.Our community has historically tackled a core computer vision problem: interpreting written communication in images. But there is a lot in Document Analysis that does not imply Document Image Analysis. Should we be more open, and allow works that apply machine learning and pattern recognition to document understanding at large? Would analysing all tweets or Facebook posts out there be “document analysis”? Analysing the behaviour of readers, representation of extracted knowledge from a collection of (digitised or physical) documents are topics that should be accepted in ICDAR? Or are these tackled in other forums and it is better to restrict ourselves to the more comfortable, narrow definition requiring “image analysis”?
During the WorkshopPhase 0: Ice Breaking activities
Ice breaking activities
• Multiple choice game (Kahoot)
• Ranking questions
• I go to both DAS and ICFHR most of the times.
• ICDAR is a well-known conference in the
wider computer vision and pattern
recognition research community.
• I publish my best quality research in ICDAR.
• I like the way the way strategic decisions are
being made in the community
During the WorkshopPhase 1: Creating a common vision
Proposed Challenge
How can we realize this ?
2000 participants in ICDAR 2025
Creating a common vision
1 hour during which we worked in the “world full of opportunity” before coming back to reality. We have no limits in what we can do (money is not a limit, reaching out to 5 million researchers is not a problem). Challenges and barriers will be discussed in the second half, at this point we want to capture all possible ideas. We should avoid “idea stoppers”.
We asked participants to write statements on post-its. These could be in the form “We must … so that …” or “Wouldn’t it be nice if ….?”.
We read out aloud post-its offered to us, and grouped them together. Broader topics arise.
The resulting groups provide us the themes that inform our common vision statement.
Before the break, we asked people to put stickers on the resulting groups to indicate what themes they considered more important (a max of 2 or 3 stickers per person)
Synthesizing the themes into a single statement gave us the common vision (see next slide)
Themes and Common Vision
DiversityFree Access to PublicationsInteresting ProblemsYoung ResearchersBetter QualityBetter ParticipationIndustryVisibility
THEMES COMMON VISION
52642275
VOTES
We envisage a DIVERSE community, with good links with the INDUSTRY, attracting YOUNG researchers
Our research is driven by INTERESTING PROBLEMS, and leads to HIGH QUALITY PUBLICATIONS.
Our events are WELL KNOWN outside the document analysis community, well PARTICIPATED, by academic researchers and industry alike, and welcome researchers from DIFFERENT DISCIPLINES.
During the WorkshopPhase 2: Discussion in groups
5 Bold Steps
All tables are given the same task, which is to come up with 5 bold steps for reaching the common vision.
This way the activity is scalable, and we can have a comparison / contrasting of views between the different tables at the end. All tables are given a specific template to work on.
Moderators were selected.
This phase is the time to get realistic and identify the Challenges (negative points) and Supports(positive points), for each of the themes that informed the common vision.
We expected from each group 5 bold steps, that we should take to reach the common goal.
Vision, Mission and the 5 bold steps
Our Common VisionVISION THEME
#1
VISION THEME
#2
VISION THEME
#3
VISION THEME
#4VISION THEME
#5
VISION THEME
#6
1
2
3
4
5
1 Vision themes and vision statementCopy over to your board the themes created in the 1st part of the workshop. Enter these themes into the vision boxes around the vision statement. Copy over the vision statement at the centre of the board.
2 Supports and challenges
Looking at the vision themes identify the supports and challenges: what will help you, or slow you down in reaching your vision? Write these around the vision themes. You can use green post-its for supports and red post-its for challenges for example.
3 Five bold steps
Based on all the discussions you have had and the supports and challenges you have identified, create an action plan. What are the next 5 steps to take in order to reach your aims. Propose bold but realistic steps and filter them down to 5.
Team 1:Moderator: Andreas Dengel
• ICDAR web site as a portal
• Collect large dataset by asking industry
• Define new research subjects by collecting datasets
• One day event to invite industry
• Define grand challenges
Team 2Moderator: Wataru Ohyama
• Having a joint TC11 / ACM DocEng committee
• Encourage young researchers
• Improve the review process• define a review guideline
• Large datasets with industry
• Improve visibility• stronger press connection, etc.
Team 3Moderator: Bertrand Couasnon
• Diversity improvement• organizing workshops in different conferences
• Making an annual big event OR co-locating smaller conferences and workshops
• Industry connection
Team 4:Moderator: Rajiv Jain
• What is the definition of documents?• having workshop together?
• Real world competition datasets working with Industry• hackathon
• ICDAR competition platform• like KAGGLE• sharing the platform• single point access
• ICDAR related workshopswith other communities
(Vision / HCI / NLP / ML)
During the WorkshopPhase 3: Final Presentations
Final Presentations
Major areas where action was demanded
1. Better coordination between TC10/11 events• ICDAR, ICFHR, DAS, GREC • Mid-long term strategy• Clear decision making processes
2. Improved diversity and participation• Connection with Industry• Young researchers• Expanding the scope of DAR
3. Grand Challenges• Definition• Resources• Promotion
Task Force
Strategic plan 2025
White paper v2.0
Online QuestionnaireGoogle form sent to approx 60 people
Q1. Who are we? How would you define the DAR community? What do we do / what do we research on?
• Document IMAGE Analysis (computer vision)
• Definition of Document? Now mainly IMAGE
• Document Engineering, but we move too slow to higher-levels of DAR (processing, understanding info)
• Our community should be close to NLP and multimedia docs (video, camera-based), scene text, digital born (pdf, html)
Present State
Please rate from 1 to 5 these topics as relevant or not relevant to publish in ICDAR. If you reviewed a (good) paper on these topics, would you accept it for publication in ICDAR, or reject it as out of topic?
1. Reading behaviour analysis (e.g. analysis of gaze sequences during reading)
2. Analysis of social media (text and image) postings
3. Electronic document analysis (Web pages, EDI, PDF, ...)
4. Augmented documents and human-document interaction (e.g. dynamically projecting information on a document)
5. Recognising sign language (gestures in video)
6. Document summarisation
7. Extracting and linking information from document collections or between documents and external big data
8. Ontologies for modelling document content
9. Crowdsourcing (e.g. user interfaces for annotation, gamification, serious games)
10. Legibility and layout quality analysis (e.g. presentation modes, influences of typography)
AMBITION. What should be the Grand Challenges driving the activities of our community?• Systems that understand contents→ components in intelligent agents
• End-to-end pipeline for understanding and interacting with document collections
• Info extraction, question-answering, summarization
• Multimodal retrieval
• Optimal Human-in-the-loop systems
• Fake news
• Ground-truth free OCR
• Layout analysis, table recognition
• Public BIG datasets
• Connecting our research with communities in NLP, DH, brain studies…
• Address some of the new topics (broader scope)
• Attract industry, visibility
Future
What are your thoughts about the FUTURE of our community? Where would you like to see our community in 5 years’ time?
• Move to new challenges (some problems are solved)
• Integrate research from NLP
• Encompass more people from Digital libraries, semantic docprocessing
• Being an AA conference
• Be active in machine learning community
• Lack of CORE research (we are testers of CVPR novelties).
• Interaction with other communities (NLP, HCI, …)
• More topics (way of writing and parkinson)
Are there any concrete actions that you think the TC10 and TC11 should take in the mid/long term future? Think in terms of organisation of our community (TC10/TC11), our events (ICDAR, DAS, ICFHR, GREC), academic and industry participation, young researchers in our field, etc
• TCs should analyze data in a regular basis (no static snapshots)
• Joint commission with NLP (ACL), DH, Library science
• Extend topics for ICDAR
• Annual ICDAR, merge DAS and ICFHR
• Merge TC10 and TC11
• Competitions on more challenging tasks
• Too many events, workshops integrated into ICDAR
• Committees with senior and young people for fostering changes
• More target-oriented marketing
• More participation from industry• short stays of PhDs in companies, industrial challenges and datasets (privacy)
• Less but longer running competition cycles
• Organize workshops in related conferences (CVPR, KDD, NACCL)
What are the key strengths (differentiating added values) of our communities?• International
• Interdisciplinary• We also have experience in computer vision, NLP, Knowledge management…
• Expertise in vision and document analysis
• Technically interesting work while friendly community (welcome tonewbie)
• Real applications (real challenges in industry)
SWOT
What are the key weaknesses of our community?• Focussing too much on reaching a 0.2% in accuracy
• Too isolated compared to NLP
• Lack of diversity. Limited application if only document IMAGES
• Low impact of ICDAR, IJDAR
• We need to be more open to industrial needs
• Self-centered community (No renewal in committee and people)
• Lacking front end research (we apply techniques for other computer visionfields)
• Low ability to attract new talent. Low visibility.
• Lack of clarity (what is a document, what is the task)
What are important opportunities we should be taking advantage of?• Interactions with other communities: NLP, multimedia
• Hot topics (cultural heritage preservation) involve DAR• Industry and society are interested in our topics
• Open challenges: Semantic Analysis. We should address this beforeother communities do it
• Make the document strong again (many aspects are important)
• Smaller conferences (ICDAR compared to CVPR) can foster interaction
• Increase visibility to attract outsiders and foster citation of our Works
• AI is everywhere
What important threats do you see for our community?• Ongoing funding for the different lines of research• No further progress without NLP, DH…• Others reinventing our wheels, being embedded in other communities
• NLP is extending to process document IMAGES
• DAR researchers are moving to Computer Vision (no more Docs)• DAR seen as secondary for CV (Good papers to CVPR, ICDAR is second league)• Becoming isolated researchers not addressing real world problems• Big old guys control the community• A fresh vision for the future• Stay away from AI rise• Lack of participation from new groups/researchers
Recommended