Computer Science Conferences

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Notes on Computer Science conferences.

Ranking

See https://research.com/conference-rankings/computer-science

  • Higher ranked conferences are not necessarily harder to get into than second-tier but are more prestigious and will get you more citations.
  • Usually, you should submit to a few top tier conferences first even if you're not that confident. They will also often get you more critical reviewers which will point out better directions to improve your paper.
  • Most papers are borderline papers and will get rejected on their first submission. Some people say if your papers are getting into accepted on the first submission, then you need to pick more selective conferences.
  • Avoid bottom-tier conferences and pay-to-publish journals. These have high acceptance but may hurt the reputation of your work. At a minimum, conference proceedings should be indexed somewhere like ACM DL or IEEE Xplore.

Graphics Conferences

Top tier conferences
  • ACM SIGGRAPH - the largest and most prestigious graphics conference.
    • See also SIGGRAPH ASIA.
  • IEEE VR - for virtual reality related papers. Has a journal track which goes to IEEE TVCG.
    • Deadlines are usually in Sept - Nov.
  • IEEE ISMAR - for augmented reality related papers. Has a journal track which goes to IEEE TVCG.
    • Deadlines are usually Mar - May.
  • ACM MM - multimedia
Specialized conferences

Vision Conferences

Top-tier
  • CVPR - a top tier vision conference. Has lots of papers so many are presented as posters instead of oral presentations.
  • ICCV, ECCV - these rotate each year. Prestige is comparable to CVPR.
Additional conferences
  • WACV
  • BMVC
  • ACCV
Specialized conferences
  • 3D Vision (3DV)
  • Computational Photography (ICCP)

HCI Conferences

  • ACM CHI - the largest HCI conference.
    • Has an LBW track where you can submit poster papers which are more likely to get accepted.
    • Paper deadlines in September. LBW deadlines in January.
  • ACM UIST - user interfaces. Has AR/XR stuff but seems to lean more towards hardware interfaces: haptics, sensors, 3D things.

ML Conferences

  • Neurips, ICML, ICLR, AAAI