BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Venue Radar//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:ACM MM 2027 Calendar
BEGIN:VEVENT
UID:acm-mm-2027-deadline-abstract@scientific-conference-calendar
DTSTAMP:19700101T000000Z
DTSTART;VALUE=DATE:20270325
DTEND;VALUE=DATE:20270326
SUMMARY:[Multimedia Learning & Retrieval][Computer Vision & Pattern Recogni
 tion] ACM MM 2027 - Main-track contribution registration deadline (estima
 ted) (cutoff time unannounced)
DESCRIPTION:Conference title: ACM International Conference on Multimedia\nW
 ebsite: https://www.acmmm.org/\nSource URL: https://2026.acmmm.org/site/i
 mportant-dates.html\nLocation: Hong Kong\, China\nTopics: Multimedia Lear
 ning & Retrieval\, Computer Vision & Pattern Recognition\, Deep Represent
 ation Learning\, Signal Processing\nSize: XL\nSubmission type: Paper-base
 d / multimedia research\nConfidence: estimated\nLast checked date: 2026-1
 0-07\nNotes: The steering committee announces Hong Kong for 2027 with dat
 es TBA. Meeting and main-paper timing are annual proxies from 2026\, not 
 official 2027 dates. The location is announced\, but the estimated meetin
 g is excluded from the confirmed-conference map. XL is an editorial size 
 estimate.\nScope: Multimedia understanding\, learning\, generation\, and 
 retrieval across image\, video\, audio\, language\, and other modalities.
  Characteristic work includes multimodal fusion\, generative and foundati
 on models\, scalable indexing and search\, cross-modal alignment\, and hu
 man-centered multimedia experiences. The 2026 steering-committee scope al
 so emphasizes explainability. Healthcare\, education\, and entertainment 
 are applications\, not blanket topical identities.\nAdditional topics: Ma
 chine Learning\, Natural Language Processing & LLMs\, Human-AI Interactio
 n & Deployment\, Data Mining & Data Science\, Explainability & Interpreta
 bility\nScope sources (2026): https://2026.acmmm.org/site/topics.html\, h
 ttps://2026.acmmm.org/\nScope last checked: 2026-10-07\nOfficial deadline
  day\; exact cutoff hour/timezone is unannounced. Verify the organizer's 
 submission portal.
URL:https://2026.acmmm.org/site/important-dates.html
END:VEVENT
BEGIN:VEVENT
UID:acm-mm-2027-deadline-full-paper@scientific-conference-calendar
DTSTAMP:19700101T000000Z
DTSTART;VALUE=DATE:20270401
DTEND;VALUE=DATE:20270402
SUMMARY:[Multimedia Learning & Retrieval][Computer Vision & Pattern Recogni
 tion] ACM MM 2027 - Main-track paper submission deadline (estimated) (cut
 off time unannounced)
DESCRIPTION:Conference title: ACM International Conference on Multimedia\nW
 ebsite: https://www.acmmm.org/\nSource URL: https://2026.acmmm.org/site/i
 mportant-dates.html\nLocation: Hong Kong\, China\nTopics: Multimedia Lear
 ning & Retrieval\, Computer Vision & Pattern Recognition\, Deep Represent
 ation Learning\, Signal Processing\nSize: XL\nSubmission type: Paper-base
 d / multimedia research\nConfidence: estimated\nLast checked date: 2026-1
 0-07\nNotes: The steering committee announces Hong Kong for 2027 with dat
 es TBA. Meeting and main-paper timing are annual proxies from 2026\, not 
 official 2027 dates. The location is announced\, but the estimated meetin
 g is excluded from the confirmed-conference map. XL is an editorial size 
 estimate.\nScope: Multimedia understanding\, learning\, generation\, and 
 retrieval across image\, video\, audio\, language\, and other modalities.
  Characteristic work includes multimodal fusion\, generative and foundati
 on models\, scalable indexing and search\, cross-modal alignment\, and hu
 man-centered multimedia experiences. The 2026 steering-committee scope al
 so emphasizes explainability. Healthcare\, education\, and entertainment 
 are applications\, not blanket topical identities.\nAdditional topics: Ma
 chine Learning\, Natural Language Processing & LLMs\, Human-AI Interactio
 n & Deployment\, Data Mining & Data Science\, Explainability & Interpreta
 bility\nScope sources (2026): https://2026.acmmm.org/site/topics.html\, h
 ttps://2026.acmmm.org/\nScope last checked: 2026-10-07\nOfficial deadline
  day\; exact cutoff hour/timezone is unannounced. Verify the organizer's 
 submission portal.
URL:https://2026.acmmm.org/site/important-dates.html
END:VEVENT
BEGIN:VEVENT
UID:acm-mm-2027-conference@scientific-conference-calendar
DTSTAMP:19700101T000000Z
DTSTART;VALUE=DATE:20271110
DTEND;VALUE=DATE:20271115
SUMMARY:[Multimedia Learning & Retrieval][Computer Vision & Pattern Recogni
 tion] ACM MM 2027 - Conference (estimated)
DESCRIPTION:Conference title: ACM International Conference on Multimedia\nW
 ebsite: https://www.acmmm.org/\nSource URL: https://www.acmmm.org/\nLocat
 ion: Hong Kong\, China\nTopics: Multimedia Learning & Retrieval\, Compute
 r Vision & Pattern Recognition\, Deep Representation Learning\, Signal Pr
 ocessing\nSize: XL\nSubmission type: Paper-based / multimedia research\nC
 onfidence: estimated\nLast checked date: 2026-10-07\nNotes: The steering 
 committee announces Hong Kong for 2027 with dates TBA. Meeting and main-p
 aper timing are annual proxies from 2026\, not official 2027 dates. The l
 ocation is announced\, but the estimated meeting is excluded from the con
 firmed-conference map. XL is an editorial size estimate.\nScope: Multimed
 ia understanding\, learning\, generation\, and retrieval across image\, v
 ideo\, audio\, language\, and other modalities. Characteristic work inclu
 des multimodal fusion\, generative and foundation models\, scalable index
 ing and search\, cross-modal alignment\, and human-centered multimedia ex
 periences. The 2026 steering-committee scope also emphasizes explainabili
 ty. Healthcare\, education\, and entertainment are applications\, not bla
 nket topical identities.\nAdditional topics: Machine Learning\, Natural L
 anguage Processing & LLMs\, Human-AI Interaction & Deployment\, Data Mini
 ng & Data Science\, Explainability & Interpretability\nScope sources (202
 6): https://2026.acmmm.org/site/topics.html\, https://2026.acmmm.org/\nSc
 ope last checked: 2026-10-07
URL:https://www.acmmm.org/
LOCATION:Hong Kong\, China
END:VEVENT
END:VCALENDAR
