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
31122014
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
8662015
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
2502016
Revisiting classifier two-sample tests
D Lopez-Paz, M Oquab
arXiv preprint arXiv:1610.06545, 2016
1972016
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
222018
Learning about an exponential amount of conditional distributions
MI Belghazi, M Oquab, Y LeCun, D Lopez-Paz
arXiv preprint arXiv:1902.08401, 2019
192019
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
52021
Low bandwidth video-chat compression using deep generative models
M Oquab, P Stock, D Haziza, T Xu, P Zhang, O Celebi, Y Hasson, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
32021
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
32020
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
Self-appearance-aided Differential Evolution for Motion Transfer
P Liu, R Wang, X Cao, Y Zhou, A Shah, M Oquab, C Couprie, SN Lim
arXiv preprint arXiv:2110.04658, 2021
2021
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 1–15