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/2018/1…

A Closer Look at Spatiotemporal Convolutions for Action Recognition By Facebook Yann LeCun Empirical study of different spatiotemporal conv for action recognition Proposed R(2+1)D CNN for factorised spatiotemporal conv PyTorch github.com/facebookresear… ArXiv arxiv.org/abs/1711.11248

So I am now a #pytorchudacityscholar! Thanks to Facebook and Udacity for this opportunity. A long and exciting journey lies ahead.

Compositional Sketch Search pdf: arxiv.org/pdf/2106.08009… abs: arxiv.org/abs/2106.08009

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/comps… by Alex Black

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 The National Archives Research V&A

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

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 Marco Volino Armin Mustafa John Collomosse Tu Bui Alex Black

Join us at the CVMP demo session today and explore 'Video Provenance Network for Rebust Content Attribution'. Full paper presentation tomorrow! Alex Black Tu Bui John Collomosse CVSSP Research Adobe Research

Join us at the 2PM session 'Gimme the data!' CVMP. Alexander Black is presenting 'VPN: Video Provenance Network for Robust Content Attribution' Alex Black Tu Bui John Collomosse Adobe Research DECaDE #cvmp2021 #AI #video #data 📜PDF 👉 dl.acm.org/doi/pdf/10.114…

Great talk! 👏👍 Alex Black

Big congratulations on the award - Best Paper at #CVMP2021 🎉🎊🥂 Alex Black Tu Bui John Collomosse

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

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 #CVPR2025 workshop on visual copy detection 6/19

See you in Paris! #ICCV2023

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 Content Authenticity Initiative CVSSP Research Adobe Research

Congratulations to Kar Balan, Alex Black, Andrew Gilbert, Simon Jenni, Andy Parsons and John Collomosse for winning the best full paper award! #CVMP2023