BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Venue Radar//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:ACM MM 2026 Calendar
BEGIN:VEVENT
UID:acm-mm-2026-deadline-abstract@scientific-conference-calendar
DTSTAMP:19700101T000000Z
DTSTART;VALUE=DATE:20260325
DTEND;VALUE=DATE:20260326
SUMMARY:[Multimedia Learning & Retrieval][Computer Vision & Pattern Recogni
 tion] ACM MM 2026 - Main-track contribution registration deadline (cutoff
  time unannounced)
DESCRIPTION:Conference title: ACM International Conference on Multimedia\nW
 ebsite: https://2026.acmmm.org/\nSource URL: https://2026.acmmm.org/site/
 important-dates.html\nLocation: Rio de Janeiro\, Brazil\nTopics: Multimed
 ia Learning & Retrieval\, Computer Vision & Pattern Recognition\, Deep Re
 presentation Learning\, Signal Processing\nSize: XL\nSubmission type: Pap
 er-based / multimedia research\nConfidence: confirmed\nLast checked date:
  2026-10-07\nNotes: Official 2026 pages confirm Rio and deadline days. Th
 e retrieved important-dates page has no cutoff hour or timezone\, so the 
 stored AoE timestamps are provisional. Main\, BNI\, and dataset tracks sh
 are March/April deadlines\; workshop papers have their own route. XL is a
 n editorial estimate.\nScope: Multimedia understanding\, learning\, gener
 ation\, and retrieval across image\, video\, audio\, language\, and other
  modalities. Characteristic work includes multimodal fusion\, generative 
 and foundation models\, scalable indexing and search\, cross-modal alignm
 ent\, and human-centered multimedia experiences. The 2026 steering-commit
 tee scope also emphasizes explainability. Healthcare\, education\, and en
 tertainment are applications\, not blanket topical identities.\nAdditiona
 l topics: Machine Learning\, Natural Language Processing & LLMs\, Human-A
 I Interaction & Deployment\, Data Mining & Data Science\, Explainability 
 & Interpretability\nScope sources (2026): https://2026.acmmm.org/site/top
 ics.html\, https://2026.acmmm.org/\nScope last checked: 2026-10-07\nOffic
 ial 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-2026-deadline-full-paper@scientific-conference-calendar
DTSTAMP:19700101T000000Z
DTSTART;VALUE=DATE:20260401
DTEND;VALUE=DATE:20260402
SUMMARY:[Multimedia Learning & Retrieval][Computer Vision & Pattern Recogni
 tion] ACM MM 2026 - Main-track paper submission deadline (cutoff time una
 nnounced)
DESCRIPTION:Conference title: ACM International Conference on Multimedia\nW
 ebsite: https://2026.acmmm.org/\nSource URL: https://2026.acmmm.org/site/
 important-dates.html\nLocation: Rio de Janeiro\, Brazil\nTopics: Multimed
 ia Learning & Retrieval\, Computer Vision & Pattern Recognition\, Deep Re
 presentation Learning\, Signal Processing\nSize: XL\nSubmission type: Pap
 er-based / multimedia research\nConfidence: confirmed\nLast checked date:
  2026-10-07\nNotes: Official 2026 pages confirm Rio and deadline days. Th
 e retrieved important-dates page has no cutoff hour or timezone\, so the 
 stored AoE timestamps are provisional. Main\, BNI\, and dataset tracks sh
 are March/April deadlines\; workshop papers have their own route. XL is a
 n editorial estimate.\nScope: Multimedia understanding\, learning\, gener
 ation\, and retrieval across image\, video\, audio\, language\, and other
  modalities. Characteristic work includes multimodal fusion\, generative 
 and foundation models\, scalable indexing and search\, cross-modal alignm
 ent\, and human-centered multimedia experiences. The 2026 steering-commit
 tee scope also emphasizes explainability. Healthcare\, education\, and en
 tertainment are applications\, not blanket topical identities.\nAdditiona
 l topics: Machine Learning\, Natural Language Processing & LLMs\, Human-A
 I Interaction & Deployment\, Data Mining & Data Science\, Explainability 
 & Interpretability\nScope sources (2026): https://2026.acmmm.org/site/top
 ics.html\, https://2026.acmmm.org/\nScope last checked: 2026-10-07\nOffic
 ial 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-2026-deadline-workshop-paper@scientific-conference-calendar
DTSTAMP:19700101T000000Z
DTSTART;VALUE=DATE:20260716
DTEND;VALUE=DATE:20260717
SUMMARY:[Multimedia Learning & Retrieval][Computer Vision & Pattern Recogni
 tion] ACM MM 2026 - Workshop paper submission deadline (cutoff time unann
 ounced)
DESCRIPTION:Conference title: ACM International Conference on Multimedia\nW
 ebsite: https://2026.acmmm.org/\nSource URL: https://2026.acmmm.org/site/
 important-dates.html\nLocation: Rio de Janeiro\, Brazil\nTopics: Multimed
 ia Learning & Retrieval\, Computer Vision & Pattern Recognition\, Deep Re
 presentation Learning\, Signal Processing\nSize: XL\nSubmission type: Pap
 er-based / multimedia research\nConfidence: confirmed\nLast checked date:
  2026-10-07\nNotes: Official 2026 pages confirm Rio and deadline days. Th
 e retrieved important-dates page has no cutoff hour or timezone\, so the 
 stored AoE timestamps are provisional. Main\, BNI\, and dataset tracks sh
 are March/April deadlines\; workshop papers have their own route. XL is a
 n editorial estimate.\nScope: Multimedia understanding\, learning\, gener
 ation\, and retrieval across image\, video\, audio\, language\, and other
  modalities. Characteristic work includes multimodal fusion\, generative 
 and foundation models\, scalable indexing and search\, cross-modal alignm
 ent\, and human-centered multimedia experiences. The 2026 steering-commit
 tee scope also emphasizes explainability. Healthcare\, education\, and en
 tertainment are applications\, not blanket topical identities.\nAdditiona
 l topics: Machine Learning\, Natural Language Processing & LLMs\, Human-A
 I Interaction & Deployment\, Data Mining & Data Science\, Explainability 
 & Interpretability\nScope sources (2026): https://2026.acmmm.org/site/top
 ics.html\, https://2026.acmmm.org/\nScope last checked: 2026-10-07\nOffic
 ial 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-2026-deadline-camera-ready@scientific-conference-calendar
DTSTAMP:19700101T000000Z
DTSTART;VALUE=DATE:20260806
DTEND;VALUE=DATE:20260807
SUMMARY:[Multimedia Learning & Retrieval][Computer Vision & Pattern Recogni
 tion] ACM MM 2026 - Main-track camera-ready deadline (cutoff time unannou
 nced)
DESCRIPTION:Conference title: ACM International Conference on Multimedia\nW
 ebsite: https://2026.acmmm.org/\nSource URL: https://2026.acmmm.org/site/
 important-dates.html\nLocation: Rio de Janeiro\, Brazil\nTopics: Multimed
 ia Learning & Retrieval\, Computer Vision & Pattern Recognition\, Deep Re
 presentation Learning\, Signal Processing\nSize: XL\nSubmission type: Pap
 er-based / multimedia research\nConfidence: confirmed\nLast checked date:
  2026-10-07\nNotes: Official 2026 pages confirm Rio and deadline days. Th
 e retrieved important-dates page has no cutoff hour or timezone\, so the 
 stored AoE timestamps are provisional. Main\, BNI\, and dataset tracks sh
 are March/April deadlines\; workshop papers have their own route. XL is a
 n editorial estimate.\nScope: Multimedia understanding\, learning\, gener
 ation\, and retrieval across image\, video\, audio\, language\, and other
  modalities. Characteristic work includes multimodal fusion\, generative 
 and foundation models\, scalable indexing and search\, cross-modal alignm
 ent\, and human-centered multimedia experiences. The 2026 steering-commit
 tee scope also emphasizes explainability. Healthcare\, education\, and en
 tertainment are applications\, not blanket topical identities.\nAdditiona
 l topics: Machine Learning\, Natural Language Processing & LLMs\, Human-A
 I Interaction & Deployment\, Data Mining & Data Science\, Explainability 
 & Interpretability\nScope sources (2026): https://2026.acmmm.org/site/top
 ics.html\, https://2026.acmmm.org/\nScope last checked: 2026-10-07\nOffic
 ial 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-2026-conference@scientific-conference-calendar
DTSTAMP:19700101T000000Z
DTSTART;VALUE=DATE:20261110
DTEND;VALUE=DATE:20261115
SUMMARY:[Multimedia Learning & Retrieval][Computer Vision & Pattern Recogni
 tion] ACM MM 2026 - Conference
DESCRIPTION:Conference title: ACM International Conference on Multimedia\nW
 ebsite: https://2026.acmmm.org/\nSource URL: https://2026.acmmm.org/\nLoc
 ation: Rio de Janeiro\, Brazil\nTopics: Multimedia Learning & Retrieval\,
  Computer Vision & Pattern Recognition\, Deep Representation Learning\, S
 ignal Processing\nSize: XL\nSubmission type: Paper-based / multimedia res
 earch\nConfidence: confirmed\nLast checked date: 2026-10-07\nNotes: Offic
 ial 2026 pages confirm Rio and deadline days. The retrieved important-dat
 es page has no cutoff hour or timezone\, so the stored AoE timestamps are
  provisional. Main\, BNI\, and dataset tracks share March/April deadlines
 \; workshop papers have their own route. XL is an editorial estimate.\nSc
 ope: Multimedia understanding\, learning\, generation\, and retrieval acr
 oss image\, video\, audio\, language\, and other modalities. Characterist
 ic work includes multimodal fusion\, generative and foundation models\, s
 calable indexing and search\, cross-modal alignment\, and human-centered 
 multimedia experiences. The 2026 steering-committee scope also emphasizes
  explainability. Healthcare\, education\, and entertainment are applicati
 ons\, not blanket topical identities.\nAdditional topics: Machine Learnin
 g\, Natural Language Processing & LLMs\, Human-AI Interaction & Deploymen
 t\, Data Mining & Data Science\, Explainability & Interpretability\nScope
  sources (2026): https://2026.acmmm.org/site/topics.html\, https://2026.a
 cmmm.org/\nScope last checked: 2026-10-07
URL:https://2026.acmmm.org/
LOCATION:Rio de Janeiro\, Brazil
END:VEVENT
END:VCALENDAR