Maxime Oquab
Maxime Oquab
Facebook AI Research
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TitleCited byYear
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
19702014
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
5172015
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
1342016
Revisiting classifier two-sample tests
D Lopez-Paz, M Oquab
arXiv preprint arXiv:1610.06545, 2016
762016
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
152018
Learning about an exponential amount of conditional distributions
MI Belghazi, M Oquab, Y LeCun, D Lopez-Paz
arXiv preprint arXiv:1902.08401, 2019
12019
Convolutional neural networks: towards less supervision for visual recognition
M Oquab
2018
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