Maxime Oquab

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 23

Top Venues

CoRR

CVPR

ECCV (5)

NeuroImage

École Normale Supérieure, Paris, France (PHD)

Education History

École Normale Supérieure, Paris, France

PHD

Publications

Théo Moutakanni, Piotr Bojanowski, Guillaume Chassagnon, Céline Hudelot, Armand Joulin, Yann LeCun, Matthew Muckley, Maxime Oquab, Marie-Pierre Revel, Maria Vakalopoulou
Advancing human-centric AI for robust X-ray analysis through holistic self-supervised learning. CoRR (2024)
Maxime Oquab, Timothée Darcet, Théo Moutakanni, Huy V. Vo, Marc Szafraniec, Vasil Khalidov, Pierre Fernandez, Daniel Haziza, Francisco Massa, Alaaeldin El-Nouby, Mido Assran, Nicolas Ballas, Wojciech Galuba, Russell Howes, Po-Yao Huang, Shang-Wen Li, Ishan Misra, Michael Rabbat, Vasu Sharma, Gabriel Synnaeve, Hu Xu, Hervé Jégou, Julien Mairal, Patrick Labatut, Armand Joulin, Piotr Bojanowski
DINOv2: Learning Robust Visual Features without Supervision. Trans. Mach. Learn. Res. 2024 (2024)
Huy Vo, Vasil Khalidov, Timothée Darcet, Théo Moutakanni, Nikita Smetanin, Marc Szafraniec, Hugo Touvron, Camille Couprie, Maxime Oquab, Armand Joulin, Hervé Jégou, Patrick Labatut, Piotr Bojanowski
Automatic Data Curation for Self-Supervised Learning: A Clustering-Based Approach. CoRR (2024)
Timothée Darcet, Maxime Oquab, Julien Mairal, Piotr Bojanowski
Vision Transformers Need Registers. ICLR (2024)
Théo Moutakanni, Maxime Oquab, Marc Szafraniec, Maria Vakalopoulou, Piotr Bojanowski
You Don't Need Data-Augmentation in Self-Supervised Learning. CoRR (2024)
Maxime Oquab, Timothée Darcet, Théo Moutakanni, Huy Vo, Marc Szafraniec, Vasil Khalidov, Pierre Fernandez, Daniel Haziza, Francisco Massa, Alaaeldin El-Nouby, Mahmoud Assran, Nicolas Ballas, Wojciech Galuba, Russell Howes, Po-Yao Huang, Shang-Wen Li, Ishan Misra, Michael G. Rabbat, Vasu Sharma, Gabriel Synnaeve, Hu Xu, Hervé Jégou, Julien Mairal, Patrick Labatut, Armand Joulin, Piotr Bojanowski
DINOv2: Learning Robust Visual Features without Supervision. CoRR (2023)
Hugo Touvron, Matthieu Cord, Maxime Oquab, Piotr Bojanowski, Jakob Verbeek, Hervé Jégou
Co-training 2L Submodels for Visual Recognition. CVPR (2023)
Timothée Darcet, Maxime Oquab, Julien Mairal, Piotr Bojanowski
Vision Transformers Need Registers. CoRR (2023)
Hugo Touvron, Matthieu Cord, Maxime Oquab, Piotr Bojanowski, Jakob Verbeek, Hervé Jégou
Submodels for Visual Recognition. CoRR (2022)
Maxime Oquab, Daniel Haziza, Ludovic Schwartz, Tao Xu, Katayoun Zand, Rui Wang, Peirong Liu, Camille Couprie
Efficient conditioned face animation using frontally-viewed embedding. CoRR (2022)
Peirong Liu, Rui Wang, Xuefei Cao, Yipin Zhou, Ashish Shah, Maxime Oquab, Camille Couprie, Ser-Nam Lim
Self-appearance-aided Differential Evolution for Motion Transfer. CoRR (2021)
Yair Lakretz, Theo Desbordes, Jean-Rémi King, Benoît Crabbé, Maxime Oquab, Stanislas Dehaene
Can RNNs learn Recursive Nested Subject-Verb Agreements? CoRR (2021)
Maxime Oquab, Pierre Stock, Daniel Haziza, Tao Xu, Peizhao Zhang, Onur Celebi, Yana Hasson, Patrick Labatut, Bobo Bose-Kolanu, Thibault Peyronel, Camille Couprie
Low Bandwidth Video-Chat Compression Using Deep Generative Models. CVPR Workshops (2021)
Maxime Oquab, Pierre Stock, Oran Gafni, Daniel Haziza, Tao Xu, Peizhao Zhang, Onur Celebi, Yana Hasson, Patrick Labatut, Bobo Bose-Kolanu, Thibault Peyronel, Camille Couprie
Low Bandwidth Video-Chat Compression using Deep Generative Models. CoRR (2020)
Jean-Rémi King, François Charton, David Lopez-Paz, Maxime Oquab
Back-to-back regression: Disentangling the influence of correlated factors from multivariate observations. NeuroImage 220 (2020)
Mohamed Ishmael Belghazi, Maxime Oquab, Yann LeCun, David Lopez-Paz
Learning about an exponential amount of conditional distributions. CoRR (2019)
Vasil Khalidov, Maxime Oquab, Jérémy Rapin, Olivier Teytaud
Consistent population control: generate plenty of points, but with a bit of resampling. FOGA (2019)
Mohamed Ishmael Belghazi, Maxime Oquab, David Lopez-Paz
Learning about an exponential amount of conditional distributions. NeurIPS (2019)
Léon Bottou, Martín Arjovsky, David Lopez-Paz, Maxime Oquab
Geometrical Insights for Implicit Generative Modeling. Braverman Readings in Machine Learning (2017)
David Lopez-Paz, Maxime Oquab
Revisiting Classifier Two-Sample Tests. ICLR (Poster) (2017)
Léon Bottou, Martín Arjovsky, David Lopez-Paz, Maxime Oquab
Geometrical Insights for Implicit Generative Modeling. CoRR (2017)
Vadim Kantorov, Maxime Oquab, Minsu Cho, Ivan Laptev
ContextLocNet: Context-Aware Deep Network Models for Weakly Supervised Localization. ECCV (5) (2016)
Vadim Kantorov, Maxime Oquab, Minsu Cho, Ivan Laptev
ContextLocNet: Context-Aware Deep Network Models for Weakly Supervised Localization. CoRR (2016)
Maxime Oquab, Léon Bottou, Ivan Laptev, Josef Sivic
Is object localization for free? - Weakly-supervised learning with convolutional neural networks. CVPR (2015)
Maxime Oquab, Léon Bottou, Ivan Laptev, Josef Sivic
Learning and Transferring Mid-level Image Representations Using Convolutional Neural Networks. CVPR (2014)

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Publication Activity (10 Years)

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Maxime Oquab