Alex Black (@AlexBlackAI) profile picture

PhD student at University of Surrey CVSSP | Adobe Content Authenticity Initiative

London, England
Joined October 2018
Photo by Alex Black (@AlexBlackAI)Photo by Alex Black (@AlexBlackAI)Photo by Alex Black (@AlexBlackAI)Photo by Alex Black (@AlexBlackAI)Photo by Alex Black (@AlexBlackAI)Photo by Alex Black (@AlexBlackAI)
Alex Black retweeted
Congratulations to Kar Balan, @AlexBlackAI, Andrew Gilbert, Simon Jenni, Andy Parsons and @JCollomosse for winning the best full paper award! #CVMP2023
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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! arxiv.org/abs/2303.13193 @ContentAuth @cvssp_research @AdobeResearch
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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
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Happy to share that our paper “ARIA: Adversarially Robust Image Attribution for Content Provenance” (arxiv.org/abs/2202.12860) is published at the #CVPR2022 Workshop on Media Forensics 🕵️ So why does adversarially robust content provenance matter? A paper thread below! 🧵1/n
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Big congratulations on the award - Best Paper at #CVMP2021 🎉🎊🥂 @AlexBlackAI @tuvbui @JCollomosse
Join us at the 2PM session 'Gimme the data!' @CVMP. Alexander Black is presenting 'VPN: Video Provenance Network for Robust Content Attribution' @AlexBlackAI @tuvbui @JCollomosse @AdobeResearch @DECaDE_Hub #cvmp2021 #AI #video #data 📜PDF 👉 dl.acm.org/doi/pdf/10.1145/3…
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Great talk! 👏👍 @AlexBlackAI
Join us at the 2PM session 'Gimme the data!' @CVMP. Alexander Black is presenting 'VPN: Video Provenance Network for Robust Content Attribution' @AlexBlackAI @tuvbui @JCollomosse @AdobeResearch @DECaDE_Hub #cvmp2021 #AI #video #data 📜PDF 👉 dl.acm.org/doi/pdf/10.1145/3…
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Join us at the 2PM session 'Gimme the data!' @CVMP. Alexander Black is presenting 'VPN: Video Provenance Network for Robust Content Attribution' @AlexBlackAI @tuvbui @JCollomosse @AdobeResearch @DECaDE_Hub #cvmp2021 #AI #video #data 📜PDF 👉 dl.acm.org/doi/pdf/10.1145/3…
Join us at the @CVMP demo session today and explore 'Video Provenance Network for Rebust Content Attribution'. Full paper presentation tomorrow! @AlexBlackAI @tuvbui @JCollomosse @cvssp_research @AdobeResearch
Excited to be back at @CVMP! Great to be a part of the organising committee again this year. Looking forward to two days of amazing talks and networking! #cvmp2021 @MarcoVolino @ArminMustafa @JCollomosse @tuvbui @AlexBlackAI
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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
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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
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Alex Black retweeted
Compositional Sketch Search pdf: arxiv.org/pdf/2106.08009.pdf abs: arxiv.org/abs/2106.08009
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Maybe I should just do a recap of all the awesome @streamlit Drawable Canvas apps for its first anniversary 🙂 "Compositional Sketch Search" - an algorithm for searching image collections using free-hand sketches 😳 App: share.streamlit.io/alexblck/… by @AlexBlackAI
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Alex Black retweeted
A Closer Look at Spatiotemporal Convolutions for Action Recognition By Facebook @ylecun Empirical study of different spatiotemporal conv for action recognition Proposed R(2+1)D CNN for factorised spatiotemporal conv PyTorch github.com/facebookresearch/… ArXiv arxiv.org/abs/1711.11248
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Here is my new blog post on flow-based deep generative models. Different from GAN or VAE, these model explicitly learn the probability density function of the real data using normalizing flows. lilianweng.github.io/lil-log…
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