Channel
@mvip2022
On this record: Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
40subscribers
-1 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001436740015 |
|---|---|
| Type | Channel |
| Username | @mvip2022 |
| Created | 3 December 2019 — measured — dated from the channel’s first post |
| First recorded | 10 August 2026 |
| Last confirmed live | 10 August 2026 |
| Measurements held | 3 |
| On Telegram | t.me/mvip2022 |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 10 Aug 2026, 19:30 | 40 | no change |
| 8 Aug 2026, 21:34 | 40 | -1 |
| 7 Aug 2026, 22:29 | 41 | first reading |
13 posts held, back to 3 December 2019 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 13 posts for this entry, the most recent from 16 February 2023. An engagement rate over an empty window would be a number about nothing.
Lifetime counters from Telegram’s own channel header, read 10 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
🔴 تا ساعتی دیگر: سخنران کليدی شماره ۳: دکتر دیوید روسو از دانشگاه آنژه فرانسه ⏱ساعت ۱۳:۳۰ برای مشاهده به لینک زیر مراجعه فرمایید: http://vroom.ut.ac.ir/farabi4 مشاهده از طریق آپارات: https://aparat.com/ut_deep/live 🔗 https://zil.ink/ipria2023 🌐 http://ipria2023.ut.ac.ir 🌐 http://ipria2023.ismvipconf.ir 🆔 @ipria2023
فراخوان مقالات (مهلت ارسال مقالات تا ۳۰ آذر تمدید شد) Call for Paper ششمین کنفرانس بینالمللی بازشناسی الگو و تحلیل تصویر The 6th International Conference on Pattern Recognition and Image Analysis (IPRIA 2023) ۲۵ تا ۲۷ بهمن ۱۴۰۱ دانشگاه تهران http://ipria2023.ismvipconf.ir @ipria2023
W: http://ipria2023.ismvipconf.ir Eitaa: http://eitaa.com/ipria2023 Telegram: https://t.me/ipria2023
Dear Sir/Madam Thank you for joining IPRIA 2023. It is our pleasure to inform you that our IPRIA news is regularly reported on our website and social messengers with the following address: W: http://ipria2023.ismvipconf.ir Eitaa: http://eitaa.com/ipria2023 Telegram: https://t.me/ipria2023 We look forward to seeing you in Tehran on IPRIA 2023 and are happy to join us on our social networks. Best Regards IPRIA Execu…
In the name of God ✅ We are pleased to announce that the 6th International conference on Pattern Recognition and Image Analysis (IPRIA) will tack place at the University of Tehran, on March 2023. 🔸 Upcoming IPRIA will be organized by Iranian Society of Machine Vision and Image Processing (ISMVIP) and University of Tehran. 🔸 More info: www.ipria2023.ismvipconf.ir 🆔 @ipria2023
✅ انجمن بینایی ماشین و پردازش تصویر ایران با همکاری دانشکده مهندسی پردیس فارابی دانشگاه تهران برگزار می کند. ✳️ «ششمین وبینار تخصصی بینایی ماشین و پردازش تصویر ایران» Towards Lifelong Robot Learning: How Robots Can Help Us In Various Daily Tasks? 👤 سخنران: دکتر حمیدرضا کسایی Interactive Robot Learning Laboratory(IRI-Lab)University of Oroningen, Netherlands 📅 پنجشنبه ۹ دی ماه ۱۴۰۰ ⏰ساعت ۱۴:۰۰ به وقت تهران کلا…
✅ Conference poster (Web Quality) - Edited http://mvip2022.ismvipconf.ir
http://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=132824©ownerid=4432 MVIP 2022 12th Iranian and the 2nd International Conference on Machine Vision and Image Processing CFP
✅ Conference poster (Web Quality) http://mvip2022.ismvipconf.ir
✅ Conference poster (High Quality for print) http://mvip2022.ismvipconf.ir
✅ On behalf of the Organizing Committee, It is our great pleasure for inviting you to participate in the 12th Iranian and the second International Conference on Machine Vision and Image Processing (MVIP 2022) which will be held in the Shahid Chamran University of Ahvaz, Ahvaz, Iran. http://mvip2022.ismvipconf.ir
In the name of GOD @mvip2022
Showing the 12 most recent of 13 posts we hold for @mvip2022. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
Republishes
Channels on the register whose posts this channel has forwarded.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
Names
Channels on the register whose handles appear in this channel's posts.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 10 August 2026 — this entry's latest reading, not the date you are reading this.
“MVIP 2022” (@mvip2022), 40 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/mvip2022.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.