Finding Actors and Actions in Movies. - Piotr Bojanowski; Francis R. Bach; Ivan Laptev; Jean Ponce; Cordelia Schmid; Josef Sivic (ICCV, 2013)

Weakly Supervised Action Labeling in Videos under Ordering Constraints. - Piotr Bojanowski; Rémi Lajugie; Francis R. Bach; Ivan Laptev; Jean Ponce; Cordelia Schmid; Josef Sivic (ECCV (5), 2014)

Weakly-Supervised Alignment of Video with Text. - Piotr Bojanowski; Rémi Lajugie; Edouard Grave; Francis R. Bach; Ivan Laptev; Jean Ponce; Cordelia Schmid (ICCV, 2015)

Alternative structures for character-level RNNs. - Piotr Bojanowski; Armand Joulin; Tomás Mikolov (CoRR, 2015)

Semidefinite and Spectral Relaxations for Multi-Label Classification. - Rémi Lajugie; Piotr Bojanowski; Sylvain Arlot; Francis R. Bach (CoRR, 2015)

Unsupervised Learning from Narrated Instruction Videos. - Jean-Baptiste Alayrac; Piotr Bojanowski; Nishant Agrawal; Josef Sivic; Ivan Laptev; Simon Lacoste-Julien (CVPR, 2016)

Instance-Level Video Segmentation from Object Tracks. - Guillaume Seguin; Piotr Bojanowski; Rémi Lajugie; Ivan Laptev (CVPR, 2016)

A weakly-supervised discriminative model for audio-to-score alignment. - Rémi Lajugie; Piotr Bojanowski; Philippe Cuvillier; Sylvain Arlot; Francis R. Bach (ICASSP, 2016)

FastText.zip: Compressing text classification models. - Armand Joulin; Edouard Grave; Piotr Bojanowski; Matthijs Douze; Hervé Jégou; Tomás Mikolov (CoRR, 2016)

Learning to annotate dynamic video scenes. (Annotation automatique de scenes vidéo). - Piotr Bojanowski (2016)

Fast Linear Model for Knowledge Graph Embeddings. - Armand Joulin; Edouard Grave; Piotr Bojanowski; Maximilian Nickel; Tomás Mikolov (AKBC@NIPS, 2017)

Bag of Tricks for Efficient Text Classification. - Armand Joulin; Edouard Grave; Piotr Bojanowski; Tomás Mikolov (EACL (2), 2017)

Learning from Video and Text via Large-Scale Discriminative Clustering. - Antoine Miech; Jean-Baptiste Alayrac; Piotr Bojanowski; Ivan Laptev; Josef Sivic (ICCV, 2017)

Unsupervised Learning by Predicting Noise. - Piotr Bojanowski; Armand Joulin (ICML, 2017)

Parseval Networks: Improving Robustness to Adversarial Examples. - Moustapha Cissé; Piotr Bojanowski; Edouard Grave; Yann N. Dauphin; Nicolas Usunier (ICML, 2017)

Enriching Word Vectors with Subword Information. - Piotr Bojanowski; Edouard Grave; Armand Joulin; Tomás Mikolov (Trans. Assoc. Comput. Linguistics, 2017)

Deep Clustering for Unsupervised Learning of Visual Features. - Mathilde Caron; Piotr Bojanowski; Armand Joulin; Matthijs Douze (ECCV (14), 2018)

Loss in Translation: Learning Bilingual Word Mapping with a Retrieval Criterion. - Armand Joulin; Piotr Bojanowski; Tomás Mikolov; Hervé Jégou; Edouard Grave (EMNLP, 2018)

Optimizing the Latent Space of Generative Networks. - Piotr Bojanowski; Armand Joulin; David Lopez-Paz; Arthur Szlam (ICML, 2018)

Learning Word Vectors for 157 Languages. - Edouard Grave; Piotr Bojanowski; Prakhar Gupta; Armand Joulin; Tomás Mikolov (LREC, 2018)

Advances in Pre-Training Distributed Word Representations. - Tomás Mikolov; Edouard Grave; Piotr Bojanowski; Christian Puhrsch; Armand Joulin (LREC, 2018)

Colorless Green Recurrent Networks Dream Hierarchically. - Kristina Gulordava; Piotr Bojanowski; Edouard Grave; Tal Linzen; Marco Baroni (NAACL-HLT, 2018)

Improving Supervised Bilingual Mapping of Word Embeddings. - Armand Joulin; Piotr Bojanowski; Tomás Mikolov; Edouard Grave (CoRR, 2018)

Learning from Narrated Instruction Videos. - Jean-Baptiste Alayrac; Piotr Bojanowski; Nishant Agrawal; Josef Sivic; Ivan Laptev; Simon Lacoste-Julien (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

Training Hybrid Language Models by Marginalizing over Segmentations. - Edouard Grave; Sainbayar Sukhbaatar; Piotr Bojanowski; Armand Joulin (ACL (1), 2019)

Adaptive Attention Span in Transformers. - Sainbayar Sukhbaatar; Edouard Grave; Piotr Bojanowski; Armand Joulin (ACL (1), 2019)

Unsupervised Pre-Training of Image Features on Non-Curated Data. - Mathilde Caron; Piotr Bojanowski; Julien Mairal; Armand Joulin (ICCV, 2019)

Misspelling Oblivious Word Embeddings. - Bora Edizel; Aleksandra Piktus; Piotr Bojanowski; Rui Ferreira; Edouard Grave; Fabrizio Silvestri (NAACL-HLT (1), 2019)

Leveraging Large-Scale Uncurated Data for Unsupervised Pre-training of Visual Features. - Mathilde Caron; Piotr Bojanowski; Julien Mairal; Armand Joulin (CoRR, 2019)

Updating Pre-trained Word Vectors and Text Classifiers using Monolingual Alignment. - Piotr Bojanowski; Onur Celebi; Tomás Mikolov; Edouard Grave; Armand Joulin (CoRR, 2019)

Unsupervised Learning of Visual Features by Contrasting Cluster Assignments. - Mathilde Caron; Ishan Misra; Julien Mairal; Priya Goyal; Piotr Bojanowski; Armand Joulin (NeurIPS, 2020)

Pruning Convolutional Neural Networks with Self-Supervision. - Mathilde Caron; Ari Morcos; Piotr Bojanowski; Julien Mairal; Armand Joulin (CoRR, 2020)

Learning to Visually Navigate in Photorealistic Environments Without any Supervision. - Lina Mezghani; Sainbayar Sukhbaatar; Arthur Szlam; Armand Joulin; Piotr Bojanowski (CoRR, 2020)

Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples. - Mahmoud Assran; Mathilde Caron; Ishan Misra; Piotr Bojanowski; Armand Joulin; Nicolas Ballas; Michael G. Rabbat (ICCV, 2021)

Emerging Properties in Self-Supervised Vision Transformers. - Mathilde Caron; Hugo Touvron; Ishan Misra; Hervé Jégou; Julien Mairal; Piotr Bojanowski; Armand Joulin (ICCV, 2021)

XCiT: Cross-Covariance Image Transformers. - Alaaeldin Ali; Hugo Touvron; Mathilde Caron; Piotr Bojanowski; Matthijs Douze; Armand Joulin; Ivan Laptev; Natalia Neverova; Gabriel Synnaeve; Jakob Verbeek; Hervé Jégou (NeurIPS, 2021)

Self-supervised Pretraining of Visual Features in the Wild. - Priya Goyal; Mathilde Caron; Benjamin Lefaudeux; Min Xu; Pengchao Wang; Vivek Pai; Mannat Singh; Vitaliy Liptchinsky; Ishan Misra; Armand Joulin; Piotr Bojanowski (CoRR, 2021)

ResMLP: Feedforward networks for image classification with data-efficient training. - Hugo Touvron; Piotr Bojanowski; Mathilde Caron; Matthieu Cord; Alaaeldin El-Nouby; Edouard Grave; Armand Joulin; Gabriel Synnaeve; Jakob Verbeek; Hervé Jégou (CoRR, 2021)

XCiT: Cross-Covariance Image Transformers. - Alaaeldin El-Nouby; Hugo Touvron; Mathilde Caron; Piotr Bojanowski; Matthijs Douze; Armand Joulin; Ivan Laptev; Natalia Neverova; Gabriel Synnaeve; Jakob Verbeek; Hervé Jégou (CoRR, 2021)

Towards Unsupervised Dense Information Retrieval with Contrastive Learning. - Gautier Izacard; Mathilde Caron; Lucas Hosseini; Sebastian Riedel 001; Piotr Bojanowski; Armand Joulin; Edouard Grave (CoRR, 2021)

Augmenting Convolutional networks with attention-based aggregation. - Hugo Touvron; Matthieu Cord; Alaaeldin El-Nouby; Piotr Bojanowski; Armand Joulin; Gabriel Synnaeve; Hervé Jégou (CoRR, 2021)

Learning Goal-Conditioned Policies Offline with Self-Supervised Reward Shaping. - Lina Mezghani; Sainbayar Sukhbaatar; Piotr Bojanowski; Alessandro Lazaric; Karteek Alahari (CoRL, 2022)

Masked Siamese Networks for Label-Efficient Learning. - Mahmoud Assran; Mathilde Caron; Ishan Misra; Piotr Bojanowski; Florian Bordes; Pascal Vincent; Armand Joulin; Mike Rabbat; Nicolas Ballas (ECCV (31), 2022)

Memory-Augmented Reinforcement Learning for Image-Goal Navigation. - Lina Mezghani; Sainbayar Sukhbaatar; Thibaut Lavril; Oleksandr Maksymets; Dhruv Batra; Piotr Bojanowski; Karteek Alahari (IROS, 2022)

Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision. - Priya Goyal; Quentin Duval; Isaac Seessel; Mathilde Caron; Ishan Misra; Levent Sagun; Armand Joulin; Piotr Bojanowski (CoRR, 2022)

Walk the Random Walk: Learning to Discover and Reach Goals Without Supervision. - Lina Mezghani; Sainbayar Sukhbaatar; Piotr Bojanowski; Karteek Alahari (CoRR, 2022)

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

Unsupervised Dense Information Retrieval with Contrastive Learning. - Gautier Izacard; Mathilde Caron; Lucas Hosseini; Sebastian Riedel 001; Piotr Bojanowski; Armand Joulin; Edouard Grave (Trans. Mach. Learn. Res., 2022)

Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture. - Mahmoud Assran; Quentin Duval; Ishan Misra; Piotr Bojanowski; Pascal Vincent; Michael G. Rabbat; Yann LeCun; Nicolas Ballas (CVPR, 2023)

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

The hidden uniform cluster prior in self-supervised learning. - Mido Assran; Randall Balestriero; Quentin Duval; Florian Bordes; Ishan Misra; Piotr Bojanowski; Pascal Vincent; Michael G. Rabbat; Nicolas Ballas (ICLR, 2023)

Sub-meter resolution canopy height maps using self-supervised learning and a vision transformer trained on Aerial and GEDI Lidar. - Jamie Tolan; Hung-I Yang; Ben Nosarzewski; Guillaume Couairon; Huy V. Vo; John Brandt; Justine Spore; Sayantan Majumdar; Daniel Haziza; Janaki Vamaraju; Théo Moutakanni; Piotr Bojanowski; et al. (CoRR, 2023)

Think Before You Act: Unified Policy for Interleaving Language Reasoning with Actions. - Lina Mezghani; Piotr Bojanowski; Karteek Alahari; Sainbayar Sukhbaatar (CoRR, 2023)

ResMLP: Feedforward Networks for Image Classification With Data-Efficient Training. - Hugo Touvron; Piotr Bojanowski; Mathilde Caron; Matthieu Cord; Alaaeldin El-Nouby; Edouard Grave; Gautier Izacard; Armand Joulin; Gabriel Synnaeve; Jakob Verbeek; Hervé Jégou (IEEE Trans. Pattern Anal. Mach. Intell., 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)

Scaling Channel-Adaptive Self-Supervised Learning. - Alice V. De Lorenci; Seung Eun Yi; Théo Moutakanni; Piotr Bojanowski; Camille Couprie; Juan C. Caicedo; Wolfgang Maximilian Anton Pernice (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)

V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning. - Mido Assran; Adrien Bardes; David Fan; Quentin Garrido; Russell Howes; Mojtaba Komeili; Matthew J. Muckley; Ammar Rizvi; Claire Roberts; Koustuv Sinha; Artem Zholus; Sergio Arnaud; et al. (CoRR, 2025)

Back to the Features: DINO as a Foundation for Video World Models. - Federico Baldassarre; Marc Szafraniec; Basile Terver; Vasil Khalidov; Francisco Massa; Yann LeCun; Patrick Labatut; Maximilian Seitzer; 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)