Maxime Oquab - Concepedia

Author

Maxime Oquab

Institut national de recherche en sciences et technologies du numérique

Also Known As

Maxime Oquab, Moutakanni, Theo, Oquab, Maxime, Théo Moutakanni

Publications

5.8K

Citations

H-Index

Concepts

All Affiliations

Institut national de recherche en sciences et technologies du numérique École Normale Supérieure Microsoft (United States)Meta (Israel)Microsoft Research New York City (United States)

About

Maxime Oquab is an author at Institut national de recherche en sciences et technologies du numérique specializing in engineering, machine learning, and data science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	9	9	5.3K
2	Data Science	7	7	5.3K
3	Computer Science	6	6	5.2K
4	Language Studies	1	1	13
5	Cognitive Science	1	1	13

Maxime Oquab

Publications

5.4K

Citations

H-Index

Page 1

	Year	Citations
Learning and Transferring Mid-level Image Representations Using Convolutional Neural Networks Maxime Oquab, Léon Bottou, Ivan Laptev, Convolutional Neural NetworkEngineeringMachine LearningImage StatisticsStyle Transfer	2014	3.2K
DINOv2: Learning Robust Visual Features without Supervision Maxime Oquab, Timothée Darcet, Théo Moutakanni, arXiv (Cornell University) EngineeringMachine LearningRobust FeatureNatural Language ProcessingMultimodal Llm	2023	1K
Is object localization for free? - Weakly-supervised learning with convolutional neural networks Maxime Oquab, Léon Bottou, Ivan Laptev, Convolutional Neural NetworkEngineeringMachine LearningObject CategorizationBox Annotation	2015	916
Weakly supervised object recognition with convolutional neural networks Maxime Oquab, Léon Bottou, Ivan Laptev, Convolutional Neural NetworkMachine VisionMachine LearningData ScienceImage Analysis	2014	69
Revisiting Classifier Two-Sample Tests David López-Paz, Maxime Oquab arXiv (Cornell University) EngineeringMachine LearningComparative TestClassifier Two-sample TestsClassification Method	2016	59
Vision Transformers Need Registers Timothée Darcet, Maxime Oquab, Julien Mairal, arXiv (Cornell University) Convolutional Neural NetworkEngineeringMachine LearningVision TransformersImage Analysis	2023	47
ContextLocNet: Context-Aware Deep Network Models for Weakly Supervised Localization Vadim Kantorov, Maxime Oquab, Minsu Cho, arXiv (Cornell University) Scene AnalysisMachine VisionMachine LearningImage AnalysisEngineering	2016	43
Learning and transferring mid-level image representations using convolutional neural networks Maxime Oquab, Léon Bottou	2014	36
Dimensionality and Ramping: Signatures of Sentence Integration in the Dynamics of Brains and Deep Language Models Théo Desbordes, Yair Lakretz, Valérie Chanoine, Journal of Neuroscience	2023	29
Back-to-back regression: Disentangling the influence of correlated factors from multivariate observations Jean-Rémi King, François Charton, David López-Paz, NeuroImage	2020	17

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