People

Hervé Jégou

Research Lead

I have been a research scientist with Facebook AI Research since May 2015.

I am a former student of the Ecole Normale Superieure de Cachan, holding an MS (2002) and PhD (2005) from University of Rennes I. During my PhD, I worked on error-resilient compression and joint source channel coding. After that, I turned out to Computer Vision and Pattern Recognition. I joined the LEAR group (INRIA Grenoble) as a permanent researcher in 2006. I moved to INRIA Rennes in 2009, where I was involved or leading several projects related to large image and video collections. I am on leave from Inria since May 2015.

Interests

Computer vision

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 10, 2021

Emerging Properties in Self-Supervised Vision Transformers

Mathilde Caron, Hugo Touvron, Ishan Misra, Hervé Jégou, Julien Mairal, Piotr Bojanowski, Armand Joulin

ICCV - October 9, 2021

Grafit: Learning fine-grained image representations with coarse labels

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

ICCV - October 9, 2021

Going deeper with Image Transformers

Hugo Touvron, Matthieu Cord, Alexandre Sablayrolles, Gabriel Synnaeve, 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

ICLR - April 25, 2020

And the bit goes down: Revisiting the quantization of neural networks

Pierre Stock, Armand Joulin, Rémi Gribonval, Benjamin Graham, Hervé Jégou

NeurIPS - December 9, 2019

Fixing the train-test resolution discrepancy

Hugo Touvron, Andrea Vedaldi, Matthijs Douze, Hervé Jégou

ICLR - May 5, 2019

Equi-normalization of Neural Networks

Pierre Stock, Benjamin Graham, Rémi Gribonval, Hervé Jégou

EMNLP 2018 - October 30, 2018

Loss in Translation: Learning Bilingual Word Mapping with a Retrieval Criterion

Armand Joulin, Piotr Bojanowski, Tomas Mikolov, Hervé Jégou, Edouard Grave

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

ICLR 2018 - April 30, 2018

Word Translation Without Parallel Data

Alexis Conneau, Guillaume Lample, Marc'Aurelio Ranzato, Ludovic Denoyer, Hervé Jégou

ICML 2017 - August 6, 2017

Efficient Softmax Approximation for GPUs

Edouard Grave, Armand Joulin, Moustapha Cisse, David Grangier, Hervé Jégou

ECCV - October 10, 2016

Polysemous Codes

Matthijs Douze, Hervé Jégou, Florent Perronnin