@iFernandoCastro@ylecun The bar is passing the peer review process where a group of experts agree that the paper makes a significant enough contribution to science. So, yeah, by the very definition a published paper is a contribution to science.
@PaulCockshott@petite_michelle Because France is not constantly threatening to invade Canada under the pretext of 'protecting the French speakers'. Because English is not a language spoken by just a little more than 1mil people that needs active protection and preservation
@ASchererNY@petite_michelle As an Estonian whose first language is russian, I think it's pretty straightforward:
This is Estonia. We speak Estonian. Don't expect anyone to understand you if you speak any other language, don't address people in public spaces in any other language. Easy, no?
(Except Võro <3)
@triptoniumpb @petite_michelle The difference is that no Spanish speaking country has invaded, occupied and repressed America. Spanish speakers in America don't think that English is an inferior language of an inferior culture that should bow to their majesty
Congratulations to Kar Balan, @AlexBlackAI, Andrew Gilbert, Simon Jenni, Andy Parsons and @JCollomosse for winning the best full paper award! #CVMP2023
VADER - Visit our poster you will! Video fingerprinting at #ICCV2023 trace provenance of video clips online and highlight any manipulations. VADER: Video Retrieval Alignment Differencing. The dataset: ANAKIN! https://t.co/CGzzsFhmLI @ContentAuth@cvssp_research@AdobeResearch
Content Provenance: To Authenticity and Beyond! 3 years in 1 poster covering our group's research into media provenance and it's use cases in authenticity, attribution and creative economy #CVPR2023 AC workshop. Catch our keynote at @CVPR workshop on visual copy detection 6/19
Happy to share that our paper “ARIA: Adversarially Robust Image Attribution for Content Provenance” (https://t.co/5sagMux21d) is published at the #CVPR2022 Workshop on Media Forensics 🕵️
So why does adversarially robust content provenance matter? A paper thread below!
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Fake news and misinformation are major societal problems that we're excited to address through our image and video provenance AI research – at @cvssp_research and with Adobe and the Content Authenticity Initiative (CAI). Details in-thread for our 2021 papers at ICCV, CVPR, CVMP
Today we wrapped ‘Deep Discoveries’, our AHRC project developing visual search to create a virtual national collection across our museums, archives and cultural heritage institutions. Congrats to Dipu Manandhar leading CV/ML. #DeepDiscoveries@cvssp_research@UkNatArcRes@V_and_A