Matthijs Douze

RESEARCH SCIENTIST | PARIS, FRANCE

Matthijs Douze has been a research scientist at the Facebook AI Research (FAIR) lab in Paris since November 2015. At Facebook he is working on large-scale indexing (see the Faiss library), machine learning with graphs and similarity search on images and videos. He obtained a master’s degree from the ENSEEIHT engineering school and defended his PhD at University of Toulouse in 2004. From 2005-2015 Matthijs joined the LEAR team at INRIA Grenoble where he worked on a variety of topics, including image indexing, large-scale vector indexing, event recognition in videos and similar video search. Between 2010 and 2015 he also managed Kinovis, a large 3D motion capture studio at INRIA and developed high-performance geometric algorithms for constructive solid geometry operations. In addition to FAIR’s general research topics, Matthijs is interested in snappy algorithms that process images and produce graphical results.

Matthijs's Work

Matthijs's Publications

June 12, 2024

CORE MACHINE LEARNING

Residual Quantization with Implicit Neural Codebooks

Iris Huijben, Matthijs Douze, Matthew Muckley, Ruud van Sloun, Jakob Verbeek

June 12, 2024

February 21, 2024

INTEGRITY

NLP

Watermarking Makes Language Models Radioactive

Tom Sander, Pierre Fernandez, Alain Durmus, Matthijs Douze, Teddy Furon

February 21, 2024

September 30, 2023

INTEGRITY

COMPUTER VISION

The Stable Signature: Rooting Watermarks in Latent Diffusion Models

Pierre Fernandez, Guillaume Couairon, Hervé Jegou, Matthijs Douze, Teddy Furon

September 30, 2023

December 09, 2019

RESEARCH

COMPUTER VISION

Fixing the train-test resolution discrepancy

Andrea Vedaldi, Hervé Jegou, Hugo Touvron, Matthijs Douze

December 09, 2019

October 16, 2019

CONVERSATIONAL AI

RESEARCH

Lead2Gold: Towards exploiting the full potential of noisy transcriptions for speech recognition

Awni Hannun, Adrien Dufraux, Matthijs Douze, Armelle Brun, Emmanuel Vincent

October 16, 2019

September 09, 2018

RESEARCH

COMPUTER VISION

Deep Clustering for Unsupervised Learning of Visual Features

Piotr Bojanowski, Armand Joulin, Matthijs Douze, Mathilde Caron

September 09, 2018