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
Related Links
Latest Publications
And the bit goes down: Revisiting the quantization of neural networks
Pierre Stock, Armand Joulin, Rémi Gribonval, Benjamin Graham, Hervé Jégou
ICLR - April 25, 2020
Fixing the train-test resolution discrepancy
Hugo Touvron, Andrea Vedaldi, Matthijs Douze, Hervé Jégou
NeurIPS - December 9, 2019
Equi-normalization of Neural Networks
Pierre Stock, Benjamin Graham, Rémi Gribonval, Hervé Jégou
ICLR - May 5, 2019
Loss in Translation: Learning Bilingual Word Mapping with a Retrieval Criterion
Armand Joulin, Piotr Bojanowski, Tomas Mikolov, Hervé Jégou, Edouard Grave
EMNLP 2018 - October 30, 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 19, 2018
Low-shot learning with large-scale diffusion
Matthijs Douze, Arthur Szlam, Bharath Hariharan, Hervé Jégou
CVPR 2018 - June 18, 2018
Word Translation Without Parallel Data
Alexis Conneau, Guillaume Lample, Marc'Aurelio Ranzato, Ludovic Denoyer, Hervé Jégou
ICLR 2018 - April 30, 2018
Efficient Softmax Approximation for GPUs
Edouard Grave, Armand Joulin, Moustapha Cisse, David Grangier, Hervé Jégou
ICML 2017 - August 6, 2017
