Bojanowski, Piotr

28 publications

TMLR 2025 Cluster and Predict Latents Patches for Improved Masked Image Modeling Timothée Darcet, Federico Baldassarre, Maxime Oquab, Julien Mairal, Piotr Bojanowski

CVPR 2025 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, Daniel Li, Marc Szafraniec, Michaël Ramamonjisoa, Maxime Oquab, Oriane Siméoni, Huy V. Vo, Patrick Labatut, Piotr Bojanowski

TMLR 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

TMLR 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, Herve Jegou, Patrick Labatut, Piotr Bojanowski

TMLR 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, Wojciech Galuba, Russell Howes, Po-Yao Huang, Shang-Wen Li, Ishan Misra, Michael Rabbat, Vasu Sharma, Gabriel Synnaeve, Hu Xu, Herve Jegou, Julien Mairal, Patrick Labatut, Armand Joulin, Piotr Bojanowski

ICLR 2024 Vision Transformers Need Registers Timothée Darcet, Maxime Oquab, Julien Mairal, Piotr Bojanowski

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

CVPR 2023 Co-Training 2l Submodels for Visual Recognition Hugo Touvron, Matthieu Cord, Maxime Oquab, Piotr Bojanowski, Jakob Verbeek, Hervé Jégou

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

ICLR 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 Rabbat, Nicolas Ballas

ICLRW 2023 Think Before You Act: Unified Policy for Interleaving Language Reasoning with Actions Lina Mezghani, Piotr Bojanowski, Karteek Alahari, Sainbayar Sukhbaatar

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

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

TMLR 2022 Unsupervised Dense Information Retrieval with Contrastive Learning Gautier Izacard, Mathilde Caron, Lucas Hosseini, Sebastian Riedel, Piotr Bojanowski, Armand Joulin, Edouard Grave

ICLRW 2022 Walk the Random Walk: Learning to Discover and Reach Goals Without Supervision Lina Mezghani, Piotr Bojanowski, Karteek Alahari, Sainbayar Sukhbaatar

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 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 Rabbat

NeurIPS 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 J. Verbeek, Herve Jegou

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

ECCV 2018 Deep Clustering for Unsupervised Learning of Visual Features Mathilde Caron, Piotr Bojanowski, Armand Joulin, Matthijs Douze

ICML 2018 Optimizing the Latent Space of Generative Networks Piotr Bojanowski, Armand Joulin, David Lopez-Pas, Arthur Szlam

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

ICML 2017 Parseval Networks: Improving Robustness to Adversarial Examples Moustapha Cisse, Piotr Bojanowski, Edouard Grave, Yann Dauphin, Nicolas Usunier

ICML 2017 Unsupervised Learning by Predicting Noise Piotr Bojanowski, Armand Joulin

CVPR 2016 Instance-Level Video Segmentation from Object Tracks Guillaume Seguin, Piotr Bojanowski, Remi Lajugie, Ivan Laptev

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

ICCV 2015 Weakly-Supervised Alignment of Video with Text Piotr Bojanowski, Remi Lajugie, Edouard Grave, Francis Bach, Ivan Laptev, Jean Ponce, Cordelia Schmid

ECCV 2014 Weakly Supervised Action Labeling in Videos Under Ordering Constraints Piotr Bojanowski, Rémi Lajugie, Francis R. Bach, Ivan Laptev, Jean Ponce, Cordelia Schmid, Josef Sivic