Maxime Oquab
Maxime Oquab
Facebook AI Research
Verified email at fb.com
Title
Cited by
Cited by
Year
Learning and transferring mid-level image representations using convolutional neural networks
M Oquab, L Bottou, I Laptev, J Sivic
Proceedings of the IEEE conference on computer vision and pattern …, 2014
27632014
Is object localization for free?-weakly-supervised learning with convolutional neural networks
M Oquab, L Bottou, I Laptev, J Sivic
Proceedings of the IEEE conference on computer vision and pattern …, 2015
7672015
Contextlocnet: Context-aware deep network models for weakly supervised localization
V Kantorov, M Oquab, M Cho, I Laptev
European Conference on Computer Vision, 350-365, 2016
2042016
Revisiting classifier two-sample tests
D Lopez-Paz, M Oquab
arXiv preprint arXiv:1610.06545, 2016
1402016
Geometrical insights for implicit generative modeling
L Bottou, M Arjovsky, D Lopez-Paz, M Oquab
Braverman Readings in Machine Learning. Key Ideas from Inception to Current …, 2018
162018
Learning about an exponential amount of conditional distributions
MI Belghazi, M Oquab, Y LeCun, D Lopez-Paz
arXiv preprint arXiv:1902.08401, 2019
102019
Geometrical insights for implicit generative modeling
L Bottou, M Arjovsky, D Lopez-Paz, M Oquab
arXiv preprint arXiv:1712.07822, 2017
102017
Can RNNs learn Recursive Nested Subject-Verb Agreements?
Y Lakretz, T Desbordes, JR King, B Crabbé, M Oquab, S Dehaene
arXiv preprint arXiv:2101.02258, 2021
22021
Discriminating the influence of correlated factors from multivariate observations: The back-to-back regression
JR King, F Charton, D Lopez-Paz, M Oquab
BioRxiv, 2020
22020
Low Bandwidth Video-Chat Compression using Deep Generative Models
M Oquab, P Stock, O Gafni, D Haziza, T Xu, P Zhang, O Celebi, Y Hasson, ...
arXiv preprint arXiv:2012.00328, 2020
2020
Back-to-back regression: Disentangling the influence of correlated factors from multivariate observations
JR King, F Charton, D Lopez-Paz, M Oquab
NeuroImage 220, 117028, 2020
2020
Measuring causal influence with back-to-back regression: the linear case
JR King, F Charton, M Oquab, D Lopez-Paz
2019
Learning about an exponential amount of conditional distributions
M Ishmael Belghazi, M Oquab, Y LeCun, D Lopez-Paz
arXiv e-prints, arXiv: 1902.08401, 2019
2019
Convolutional neural networks: towards less supervision for visual recognition
M Oquab
PSL Research University, 2018
2018
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Articles 1–14