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Efficient conditioned face animation using frontally-viewed embedding


Mar 16, 2022
Maxime Oquab, Daniel Haziza, Ludovic Schwartz, Tao Xu, Katayoun Zand, Rui Wang, Peirong Liu, Camille Couprie


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Self-appearance-aided Differential Evolution for Motion Transfer


Oct 09, 2021
Peirong Liu, Rui Wang, Xuefei Cao, Yipin Zhou, Ashish Shah, Maxime Oquab, Camille Couprie, Ser-Nam Lim

* 10 pages, 6 figures 

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Can RNNs learn Recursive Nested Subject-Verb Agreements?


Jan 06, 2021
Yair Lakretz, Théo Desbordes, Jean-Rémi King, Benoît Crabbé, Maxime Oquab, Stanislas Dehaene


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Low Bandwidth Video-Chat Compression using Deep Generative Models


Dec 01, 2020
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

* 11 pages 

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Learning about an exponential amount of conditional distributions


Feb 22, 2019
Mohamed Ishmael Belghazi, Maxime Oquab, Yann LeCun, David Lopez-Paz

* 8 pages, 7 figures 

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Revisiting Classifier Two-Sample Tests


Mar 13, 2018
David Lopez-Paz, Maxime Oquab


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Geometrical Insights for Implicit Generative Modeling


Mar 12, 2018
Leon Bottou, Martin Arjovsky, David Lopez-Paz, Maxime Oquab


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ContextLocNet: Context-Aware Deep Network Models for Weakly Supervised Localization


Sep 14, 2016
Vadim Kantorov, Maxime Oquab, Minsu Cho, Ivan Laptev

* Accepted paper at ECCV2016. The website and code is at http://www.di.ens.fr/willow/research/contextlocnet 

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