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Publish paper in Computer Vision Area. Conferences. CVPR – Computer Vision and Pattern Recognition , since 1983 Annual , held in US ICCV – International Conference on Computer Vision, since 1987 Every other year, alternate in 3 continents

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Publish paper in Computer Vision Area

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Publish paper in computer vision area l.jpg

Publish paper in Computer Vision Area


Conferences l.jpg

Conferences

  • CVPR – Computer Vision and Pattern Recognition, since 1983

    • Annual, held in US

  • ICCV – International Conference on Computer Vision, since 1987

    • Every other year, alternate in 3 continents

  • ECCV – European Conference on Computer Vision, since 1990

    • Every other year, held in Europe


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Conferences (cont’d)

  • NIPS – Neural Information Processing Systems

  • MICCAI – Medical Image Computing and Computer-Assisted Intervention

  • BMVC – British Machine Vision Conference

  • ACCV – Asian Conference on Computer Vision

  • ICPR – International Conference on Pattern Recognition

  • ISBI – International Symposium on Biomedical Imaging

  • FG – IEEE Conference on Automatic Face and Gesture Recognition

  • ICCP, ICDR, ICVS, DAGM, CAIP, MVA, AAAI, IJCAI, ICML, ICRA, ICASSP, ICIP, SPIE, DCC, WACV, 3DPVT, ACM Multimedia, ICME, …


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Conference organization

  • General chairs: administration

  • Program chairs: handling papers

  • Area chairs:

    • Assign reviewers

    • Read reviews and rebuttals

    • Consolidation reports

    • Recommendation

  • Reviewers

  • Authors


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Review process

  • Submission

  • CVPR/ECCV/ICCV

    • Double blind review

    • Program chairs: assign papers to area chairs

    • Area chairs: assign papers to reviewers

  • Author Response (Rebuttal)


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Area chair meetings

  • 2 day meetings

  • Several panels

  • Each paper is reviewed by at least 2 area chairs

  • Buddy system

  • Area chair make recommendations

  • Program chairs make final decisions


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Conference acceptance rates

  • ICCV/CVPR/ECCV: 20% ~ 30%

  • ACCV (2009): ~ 30%

  • NIPS: 20% ~ 30%

  • BMVC: ~ 40%

  • ICIP: ~ 45%

  • ICPR: ~ 55%

  • Disclaimer

    • low acceptance rate = high quality?


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Journals

  • PAMI – IEEE Transactions on Pattern Analysis and Machine Intelligence, since 1979 (impact factor 2009: 5.96, #1 in all engineering and AI, top-ranked IEEE and CS journal)

  • IJCV – International Journal on Computer Vision, since 1988 (impact factor: 5.36, #2 in all engineering and AI)


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Journals (cont’d)

  • CVIU – Computer Vision and Image Understanding

  • IVC – Image and Vision Computing

  • IEEE Transactions on Medical Imaging

  • TIP – IEEE Transactions on Image Processing

  • MVA – Machine Vision and Applications

  • PR – Pattern Recognition

  • TM – IEEE Transactions on Multimedia


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PAMI review process

  • Editor-in-chief (EIC) assigns papers to associate editors (AE)

  • AE assigns reviewers

  • First-round review: 3-6 months

    • Accept as is

    • Accept with minor revision (1 month revision period)

    • Major revision (3 months revision period)

    • Resubmit as new

    • Reject


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PAMI review process (cont’d)

  • Second-round review: 2-4 months

    • Accept as is

    • Accept with minor revision

    • Reject

  • EIC makes final decision

  • Overall turn-around time: 6 to 12 months

  • Rule of thumb: 30% additional work beyond a CVPR/ICCV/ECCV paper


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IJCV/other journal review process

  • Similar formats

  • IJCV has roughly the same turn-around time as PAMI

  • Other journals tend to have shorter turn-around time


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Tools

  • • Google Scholar, Microsoft Academic Search,

  • h-index

  • Software: publish or perish

  • Disclaimer:

    • h index = significance?

    • # of citation = significance


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How to get your papers rejected?

  • Refer to Jim Kajia (SIGGRAPH 93 papers chair): How to get your SIGGRAPH paper rejected?

    • http://www.cc.gatech.edu/student.services/phd/phd-advice/kajiya

  • Do not

    • Pay attention to review process

    • Put yourself as a reviewer perspective

    • Put the work in right context

    • Carry out sufficient amount of experiments

    • Compare with state-of-the-art algorithms

    • Pay attention to writing


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Pay attention to review process

  • Learn how others/you can pick apart a paper

  • Learn from other’s mistakes

  • Learn how to write good papers

  • Learn what it takes to get a paper published


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Put yourself as reviewer

  • What are the contributions?

  • Does it advance the science in the filed?

  • Why you should accept this paper?

  • Is this paper a case study?

  • Is this paper interesting?

  • What is the audience?

  • Does anyone care about this work?


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Experimental validation

  • Common data set

  • Killer data set

  • Large scale experiment

  • Evaluation metric


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Compare with state-of-the-art

  • Do your homework

  • Need to know what is out there

  • Need to show why one’s method

  • outperforms others, and in what way?

    • speed?

    • accuracy?

    • easy to implement?

    • general application?


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Writing

  • Clear presentation

  • Terse (Concise and Precise)

  • Careful about wording

  • Make claims with strong evidence

  • Make a good story


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Review form

  • Summary

  • Overall Rating

    • Definite accept, weakly accept, borderline, weakly reject, definite reject

  • Novelty

    • Very original, original, minor originality, has been done before

  • Importance/relevance

    • Of broad interest, interesting to a subarea, interesting only to a small number of attendees, out of CVPR scope


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Review form (cont’d)

  • Clarity of presentation

    • Reads very well, is clear enough, difficult to read, unreadable

  • Technical correctness

    • Definite correct, probably correct but did not check completely, contains rectifiable errors, has major problems

  • Experimental validation

    • – Excellent validation or N/A (a theoretical paper), limited but convincing, lacking in some aspects, insufficient validation

  • Additional comments

  • Reviewer’s name


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Good Luck !


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