ACM MMSports

5th International ACM Workshop on Multimedia Content Analysis in Sports - and beyond! Part of ACM Multimedia 2023.

[Davide Zambrano @DavideZambrano]

Can you do more? Chances to win the 1000$ prize for each challenge are still open! Follow this link for all info and give it a try!!
https://t.co/0bVLBRzkSk
#computervision #deeplearning #sport #sportanalytics #sporttechnology @acmmmsports

[Davide Zambrano @DavideZambrano]

Visit the challenge website for all the details: https://t.co/K0AN6MnZN3
#DeepSportradar #ComputerVision #deeplearning #Sports #mmsports23

[Davide Zambrano @DavideZambrano]

💰 Rewards:
Grand Prize: $1,000 💸
Special Nomination: The winner will be nominated at the 6th International ACM Workshop on Multimedia Content Analysis in Sports (MMSports23) at ACM Multimedia 2023.

[Davide Zambrano @DavideZambrano]

Here's what you need to know:
🔍 Challenge Details: Objective: Basketball Player Re-identification
Key Changes:
1️⃣ Novel Challenge Set: we have enriched the challenge set with a wider range of images, intensifying the difficulty level!
2️⃣ Updated Repository: supports PyTorch 2.0.

[Davide Zambrano @DavideZambrano]

Participants will have to re-identify basketball players across multiple video frames captured from the same camera viewpoint at various time instants! Are you ready to showcase your skills and dive into the world of sports technology?

[Davide Zambrano @DavideZambrano]

Don't miss this incredible opportunity to dive into the complexities of basketball player re-identification and the proposed new challenge set, and compete for the cash prize!

[Davide Zambrano @DavideZambrano]

Second thread on the DeepSportradar Challenges!!

The second challenge we present this year is the Basketball Player Re-identification Challenge 🏀.

[Davide Zambrano @DavideZambrano]

Exciting news! The DeepSportradar Challenges have started!
I’ll start a series of threads describing our 3 challenges!

The first challenge we present this year is the Instance Segmentation Challenge focused on basketball players. 🏀

[le.prof @aelsaddik]

Closing ceremony of ACMMM main track. Tomorrow are the workshops.
Thank you team #Lisbon and see you all in #Ottawa in 2023.

@sigmm @acmmm2022

[ACM SIGMM @sigmm]

Congratulations to @asmeaton for receiving the ACM #SIGMM Award for Outstanding Technical Contributions to Multimedia Computing, Communications and Applications 👏🎉

@acmmm2022

[ACM MMSports @acmmmsports]

See you next year! #MMSys2023

[ACM MMSys @acmmmsys]

🥁Getting ready for ACM Multimedia Systems 2023!

🔗 https://t.co/BeMWXuNntP
📅 June 7 - 10, 2023
🗺️ Vancouver, Canada🍁

@sigmm @TheOfficialACM #MMSys2023

[ACM MMSports @acmmmsports]

🗣️ Gabriel Van Zandycke, @Sportradar Tech Lead - Innovation CV Lab, closing the #ACMMMSports workshop. Thank you for all contributions and see you in 2023, @acmmm2022! 👋

[ACM MMSports @acmmmsports]

💡 Player Re-Identification Challenge:
🥇 Winners: team UniBW Munich @unibw_m
code: https://t.co/g9ypgDvQIg
report: Contrastive Training for Player Re-Identification https://t.co/FxEs7ztgnk

[ACM MMSports @acmmmsports]

💡 Learn more about @acmmm2022 Sports challenges
#4 (of 4): Player re-identification:
🔧 Challenge toolkit: https://t.co/TLVYmSHdpl
📤 Challenge submissions: https://t.co/C2NW8wRB0Z
See you in Lisbon at @acmmm2022 & @acmmmsports! #MMSports

[ACM MMSports @acmmmsports]

💡 Instance Segmentation Challenge:
🥇 Winners: team Antgroup
code: https://t.co/1GvHtCUSGU
report: https://t.co/vCiKys1yB2

[ACM MMSports @acmmmsports]

💡 Learn more about @acmmm2022 Sports challenges
#3 (of 4): Instance segmentation
🔧 Challenge toolkit: https://t.co/IWxWLtw3bz
📤 Challenge submissions: https://t.co/E4RxZ6EGDO
See you in Lisbon at @acmmm2022 & @acmmmsports! #MMSports

[ACM MMSports @acmmmsports]

💡 Camera Calibration Challenge:
🥇 Winners: team Kalisteo
code: https://t.co/CKJaX87DB3
report https://t.co/9DfMH4gha5

[ACM MMSports @acmmmsports]

💡 Learn more about @acmmm2022 Sports challenges
#2 (of 4): Camera calibration
🔧Challenge toolkit: https://t.co/Eeo93gUfDl
📤 Challenge submissions: https://t.co/xYuGNlJvY1
See you in Lisbon at @acmmm2022 & @acmmmsports! #MMSports

[ACM MMSports @acmmmsports]

💡 Ball 3D localization Challenge:
🥇 Winners: team Kalisteo
code: https://t.co/PGTwHcncFt
report: https://t.co/qeWoFNHJBb

[ACM MMSports @acmmmsports]

💡 Learn more about @acmmm2022 Sports challenges
#1 (of 4): Ball 3D localization
🔧Challenge toolkit: https://t.co/ynuR77DQoy
📤 Challenge submissions: https://t.co/BFrcnAvLmA
See you in Lisbon at @acmmm2022 & @acmmmsports! #MMSports

[ACM Multimedia @acmmm2022]

📣 The afternoon sessions have just started!

[ACM MMSports @acmmmsports]

🗣️ @DavideZambrano, @Sportradar Chapter Lead - Deep Learning Engineer, kicking off the @acmmm2022's #ACMMMSports workshop in Lisbon

[Davide Zambrano @DavideZambrano]

And we started!