Learning and Transferring Mid-level Image Representations Using Convolutional Neural Networks. - Maxime Oquab; Léon Bottou; Ivan Laptev; Josef Sivic (CVPR, 2014)

Is object localization for free? - Weakly-supervised learning with convolutional neural networks. - Maxime Oquab; Léon Bottou; Ivan Laptev; Josef Sivic (CVPR, 2015)

ContextLocNet: Context-Aware Deep Network Models for Weakly Supervised Localization. - Vadim Kantorov; Maxime Oquab; Minsu Cho; Ivan Laptev (ECCV (5), 2016)

Geometrical Insights for Implicit Generative Modeling. - Léon Bottou; Martín Arjovsky; David Lopez-Paz; Maxime Oquab (Braverman Readings in Machine Learning, 2017)

Revisiting Classifier Two-Sample Tests. - David Lopez-Paz; Maxime Oquab (ICLR (Poster), 2017)

Convolutional neural networks: towards less supervision for visual recognition. (Réseaux de neurones à convolution: vers moins de supervision pour la reconnaissance visuelle). - Maxime Oquab (2018)

Consistent population control: generate plenty of points, but with a bit of resampling. - Vasil Khalidov; Maxime Oquab; Jérémy Rapin; Olivier Teytaud (FOGA, 2019)

Learning about an exponential amount of conditional distributions. - Mohamed Ishmael Belghazi; Maxime Oquab; David Lopez-Paz (NeurIPS, 2019)

Learning about an exponential amount of conditional distributions. - Mohamed Ishmael Belghazi; Maxime Oquab; Yann LeCun; David Lopez-Paz (CoRR, 2019)

Low Bandwidth Video-Chat Compression using Deep Generative Models. - 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 (CoRR, 2020)

Back-to-back regression: Disentangling the influence of correlated factors from multivariate observations. - Jean-Rémi King; François Charton; David Lopez-Paz; Maxime Oquab (NeuroImage, 2020)

Low Bandwidth Video-Chat Compression Using Deep Generative Models. - Maxime Oquab; Pierre Stock; Daniel Haziza; Tao Xu; Peizhao Zhang; Onur Celebi; Yana Hasson; Patrick Labatut; Bobo Bose-Kolanu; Thibault Peyronel; Camille Couprie (CVPR Workshops, 2021)

Can RNNs learn Recursive Nested Subject-Verb Agreements? - Yair Lakretz; Theo Desbordes; Jean-Rémi King; Benoît Crabbé; Maxime Oquab; Stanislas Dehaene (CoRR, 2021)

Self-appearance-aided Differential Evolution for Motion Transfer. - Peirong Liu; Rui Wang; Xuefei Cao; Yipin Zhou; Ashish Shah; Maxime Oquab; Camille Couprie; Ser-Nam Lim (CoRR, 2021)

Efficient conditioned face animation using frontally-viewed embedding. - Maxime Oquab; Daniel Haziza; Ludovic Schwartz; Tao Xu; Katayoun Zand; Rui Wang; Peirong Liu; Camille Couprie (CoRR, 2022)

Co-training 2L Submodels for Visual Recognition. - Hugo Touvron; Matthieu Cord; Maxime Oquab; Piotr Bojanowski; Jakob Verbeek; Hervé Jégou (CoRR, 2022)

Co-training 2L Submodels for Visual Recognition. - Hugo Touvron; Matthieu Cord; Maxime Oquab; Piotr Bojanowski; Jakob Verbeek; Hervé Jégou (CVPR, 2023)

Vision Transformers Need Registers. - Timothée Darcet; Maxime Oquab; Julien Mairal; Piotr Bojanowski (ICLR, 2024)

You Don't Need Domain-Specific Data Augmentations When Scaling Self-Supervised Learning. - Théo Moutakanni; Maxime Oquab; Marc Szafraniec; Maria Vakalopoulou; Piotr Bojanowski (NeurIPS, 2024)

Advancing human-centric AI for robust X-ray analysis through holistic self-supervised learning. - Théo Moutakanni; Piotr Bojanowski; Guillaume Chassagnon; Céline Hudelot; Armand Joulin; Yann LeCun; Matthew J. Muckley; Maxime Oquab; Marie-Pierre Revel; Maria Vakalopoulou (CoRR, 2024)

You Don't Need Data-Augmentation in Self-Supervised Learning. - Théo Moutakanni; Maxime Oquab; Marc Szafraniec; Maria Vakalopoulou; Piotr Bojanowski (CoRR, 2024)

DINOv2: Learning Robust Visual Features without Supervision. - 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; et al. (Trans. Mach. Learn. Res., 2024)

Automatic Data Curation for Self-Supervised Learning: A Clustering-Based Approach. - Huy V. Vo; Vasil Khalidov; Timothée Darcet; Théo Moutakanni; Nikita Smetanin; Marc Szafraniec; Hugo Touvron; Camille Couprie; Maxime Oquab; Armand Joulin; Hervé Jégou; Patrick Labatut; et al. (Trans. Mach. Learn. Res., 2024)

DINOv2 Meets Text: A Unified Framework for Image- and Pixel-Level Vision-Language Alignment. - Cijo Jose; Théo Moutakanni; Dahyun Kang; Federico Baldassarre; Timothée Darcet; Hu Xu 001; Daniel Li 006; Marc Szafraniec; Michaël Ramamonjisoa; Maxime Oquab; Oriane Siméoni; Huy V. Vo; et al. (CVPR, 2025)

Cluster and Predict Latents Patches for Improved Masked Image Modeling. - Timothée Darcet; Federico Baldassarre; Maxime Oquab; Julien Mairal; Piotr Bojanowski (Trans. Mach. Learn. Res., 2025)

Cluster and Predict Latent Patches for Improved Masked Image Modeling. - Timothée Darcet; Federico Baldassarre; Maxime Oquab; Julien Mairal; Piotr Bojanowski (CoRR, 2025)

DINOv3. - Oriane Siméoni; Huy V. Vo; Maximilian Seitzer; Federico Baldassarre; Maxime Oquab; Cijo Jose; Vasil Khalidov; Marc Szafraniec; Seung Eun Yi; Michaël Ramamonjisoa; Francisco Massa; Daniel Haziza; et al. (CoRR, 2025)