Congratulations to the winners of the Jon Campbell Best Paper Award at #IMVIP2025 Evan Murphy et al. for their paper: "A Stochastic Birth-and-Death Approach for Street Furniture Geolocation in Urban Environments"
#IMVIP2025 draws to a close. Thanks to our final keynote Abulele Mditshwa on deploying AI in the world.
Thanks to everyone involved in the organisation of this year's conference! See you next year in Maynooth! @MaynoothCSC
And that's a wrap for Day 2 of #IMVIP2025. Huge thanks to our keynote speaker, @oisinmacaodha, for his insightful talk on the importance (and challenges) of Visual data in the wild. Stay tuned as we head into the final day of this year's conference
The first oral session of #imvip2025 is on Machine Learning Techniques & Applications. We had two insightful talks on SOTA FMO detection models and continual learning
Our final session of Day 1 at #imvip2025 sees a packed schedule on Medical Imaging & Healthcare Applications. Have a look at the highlights below!
Remember, the conference proceedings for all the papers is now available at https://t.co/EjZZQybX21
The IMVIP 2025 oral + poster presentation programme is now available!
Still time to register and apply for travel bursaries!
📅 View the programme: https://t.co/EjZZQybX21
#IMVIP2025#ComputerVision#AIResearch
The deadline for submitting long and short papers to IMVIP 2025 is 6th June.
Details & submission: https://t.co/dxuqgWuG0i
#IMVIP#ComputerVision#CallForPapers
🚨 Deadline extended!
The #IMVIP2025 long & short paper submissions are now due June 6th 🗓️
📍 Ulster University
🧠 Ireland’s top CV/ML conference
🔗 https://t.co/dxuqgWuG0i
@
#ComputerVision#ML#CFP@UlsterCompEng
Big news from #IMVIP2025!
We're excited to welcome keynote speakers:
👩🔬 Dr. @CFermuller (Univ. of Maryland)
☁️ Abulele Mditshwa (AWS, Johannesburg)
🔥 Cutting-edge talks on vision + cloud innovation!
📅 Paper deadline: May 16
🔗 https://t.co/dxuqgWuG0i
#ComputerVision#AI
The winner of the Jon Campbell Best Paper Prize for #IMVIP2024 is "Enhancing Multiple Sclerosis Diagnosis with eXplainable AI" by Nighat Bibi, Jane Courtney, and Kathleen Curran