Matthijs Douze

Research Scientist

I am a research scientist at the Facebook AI Research (FAIR) lab in Paris since November 2015. At Facebook I am working on large-scale indexing (see the Faiss library), machine learning with graphs and similarity search on images and videos. I obtained a master’s degree from the ENSEEIHT engineering school and defended my PhD at University of Toulouse in 2004. In 2005-2015 I joined the LEAR team at INRIA Grenoble where I worked on a variety of topics, including image indexing, large-scale vector indexing, event recognition in videos and similar video search. In 2010-2015 I 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, I am interested in snappy algorithms that process images and produce graphical results.


Computer vision, machine learning, similarity search and large-scale indexing

Latest Publications

ICCV - October 10, 2021

LeViT: a Vision Transformer in ConvNet’s Clothing for Faster Inference

Ben Graham, Alaaeldin El-Nouby, Hugo Touvron, Pierre Stock, Armand Joulin, Hervé Jégou, Matthijs Douze

ICCV - October 9, 2021

Grafit: Learning fine-grained image representations with coarse labels

Hugo Touvron, Alexandre Sablayrolles, Matthijs Douze, Matthieu Cord, Hervé Jégou

ICML - July 18, 2021

Training data-efficient image transformers & distillation through attention

Hugo Touvron, Matthieu Cord, Matthijs Douze, Francisco Massa, Alexandre Sablayrolles, Hervé Jégou

arXiv - June 16, 2021

XCiT: Cross-Covariance Image Transformers

Alaaeldin El-Nouby, Hugo Touvron, Mathilde Caron, Piotr Bojanowski, Matthijs Douze, Armand Joulin, Ivan Laptev, Natalia Neverova, Gabriel Synnaeve, Jakob Verbeek, Hervé Jégou

ASRU - December 13, 2019

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

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

NeurIPS - December 9, 2019

Fixing the train-test resolution discrepancy

Hugo Touvron, Andrea Vedaldi, Matthijs Douze, Hervé Jégou

ECCV 2018 - September 9, 2018

Deep Clustering for Unsupervised Learning of Visual Features

Mathilde Caron, Piotr Bojanowski, Armand Joulin, Matthijs Douze

CVPR 2018 - June 19, 2018

LAMV: Learning to align and match videos with kernelized temporal layers

Lorenzo Baraldi, Matthijs Douze, Rita Cucchiara, Hervé Jégou

CVPR 2018 - June 19, 2018

Link and code: Fast indexing with graphs and compact regression codes

Matthijs Douze, Alexandre Sablayrolles, Hervé Jégou

CVPR 2018 - June 18, 2018

Low-shot learning with large-scale diffusion

Matthijs Douze, Arthur Szlam, Bharath Hariharan, Hervé Jégou

ACL Workshop on Representation Learning for NLP - July 31, 2017

Learning Multilingual Joint Sentence Embeddings with Neural Machine Translation

Holger Schwenk, Matthijs Douze

ECCV - October 10, 2016

Polysemous Codes

Matthijs Douze, Hervé Jégou, Florent Perronnin

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