John Collomosse
Senior Principal Scientist
London
AI & Machine Learning
Computer Vision, Imaging & Video
Content IntelligenceProf. John Collomosse is a Senior Principal Scientist and manages the Trusted Media Intelligence (TMI) lab in Adobe Research. John leads research for Adobe’s Content Authenticity Initiative (CAI) and is a core technical advisor to the initiative since his involvement co-founding it in 2019. Now with 5000+ members, CAI leads a cross-industry standards group (C2PA; Coalition for Content Provenance and Authenticity) where John chairs cross-industry task forces on watermarking and distributed ledgers (blockchain).
John’s research intersects Artificial Intelligence (AI) and Distributed Ledger Technology (DLT), with focus on media provenance to fight misinformation and online harms, and on improving data integrity and attribution for responsible AI. John’s content fingerprinting research is used to protect millions of images across Adobe’s platforms such as Photoshop, Lightroom and generative AI Firefly tools. His watermarking technologies shipped in Adobe Content Authenticity (ACA). John has also pioneered several visual search technologies, such as style, sketch and pose based search. These have been demoed at Adobe MAX and shipped in products such as Behance ‘More Like This’ style similarity search. John has published over 170 papers (h-Index 42) and over 30 patents, and is an Adobe Distinguished Inventor.
John has over 20 years experience at the intersection of Computer Vision, Graphics and AI, completing his PhD on Image and Video Stylization at the University of Bath in 2004. John is concurrently a full professor at the University of Surrey, Centre for Vision Speech and Signal Processing (CVSSP) where he is the founder and director of DECaDE, the UKRI Natioanl Research Centre for the Decentralized Creative Economy. Notably, he led the ARCHANGEL project which pioneered use of AI and Blockchain for provenance to tamper-proof National Archives around the world and was called out as a highlight of the UK Science Council (EPSRC) Digital Economy research programme.
John has also spent time elsewhere working on industry R&D in Computer Vision/AI, including at HP Labs, Vodafone Munich and IBM Research Hursley. He is a Fellow of the IET (FIET), Life Fellow of the BCS (FBCS), Fellow of the Royal Society of Arts (FRSA), a Senior member of the IEEE, and a Chartered Engineer (CEng). He was a member of the EPSRC advisory team for Information & Communication Technologies (ICT) portfolio (2018-2024).
