Matthijs Douze

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

December 13, 2019

Research

ML Applications

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

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

December 13, 2019

December 09, 2019

Research

ML Applications

Fixing the train-test resolution discrepancy

Hugo Touvron, Andrea Vedaldi, Matthijs Douze, Hervé Jégou

December 09, 2019

September 09, 2018

Research

ML Applications

Deep Clustering for Unsupervised Learning of Visual Features

Mathilde Caron, Piotr Bojanowski, Armand Joulin, Matthijs Douze

September 09, 2018