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Books and Theses
- 2016
[b1]Piotr Bojanowski:
Learning to annotate dynamic video scenes. (Annotation automatique de scenes vidéo). École Normale Supérieure, Paris, France, 2016
Journal Articles
- 2024
- [j5]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, Hervé Jégou, Julien Mairal, Patrick Labatut, Armand Joulin, Piotr Bojanowski:
DINOv2: Learning Robust Visual Features without Supervision. Trans. Mach. Learn. Res. 2024 (2024) - 2023
- [j4]Hugo Touvron
, Piotr Bojanowski, Mathilde Caron, Matthieu Cord, Alaaeldin El-Nouby, Edouard Grave, Gautier Izacard, Armand Joulin, Gabriel Synnaeve, Jakob Verbeek, Hervé Jégou:
ResMLP: Feedforward Networks for Image Classification With Data-Efficient Training. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 5314-5321 (2023) - 2022
- [j3]Gautier Izacard, Mathilde Caron, Lucas Hosseini, Sebastian Riedel, Piotr Bojanowski, Armand Joulin, Edouard Grave:
Unsupervised Dense Information Retrieval with Contrastive Learning. Trans. Mach. Learn. Res. 2022 (2022) - 2018
- [j2]Jean-Baptiste Alayrac, Piotr Bojanowski, Nishant Agrawal, Josef Sivic, Ivan Laptev, Simon Lacoste-Julien:
Learning from Narrated Instruction Videos. IEEE Trans. Pattern Anal. Mach. Intell. 40(9): 2194-2208 (2018) - 2017
- [j1]Piotr Bojanowski, Edouard Grave, Armand Joulin, Tomás Mikolov:
Enriching Word Vectors with Subword Information. Trans. Assoc. Comput. Linguistics 5: 135-146 (2017)
Conference and Workshop Papers
- 2024
- [c32]Timothée Darcet, Maxime Oquab, Julien Mairal, Piotr Bojanowski:
Vision Transformers Need Registers. ICLR 2024 - 2023
- [c31]Hugo Touvron, Matthieu Cord, Maxime Oquab, Piotr Bojanowski, Jakob Verbeek, Hervé Jégou:
Co-training 2L Submodels for Visual Recognition. CVPR 2023: 11701-11710 - [c30]Mahmoud Assran, Quentin Duval, Ishan Misra, Piotr Bojanowski, Pascal Vincent, Michael G. Rabbat, Yann LeCun, Nicolas Ballas:
Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture. CVPR 2023: 15619-15629 - [c29]Mido Assran, Randall Balestriero, Quentin Duval, Florian Bordes, Ishan Misra, Piotr Bojanowski, Pascal Vincent, Michael G. Rabbat, Nicolas Ballas:
The hidden uniform cluster prior in self-supervised learning. ICLR 2023 - 2022
- [c28]Lina Mezghani, Sainbayar Sukhbaatar, Piotr Bojanowski, Alessandro Lazaric, Karteek Alahari:
Learning Goal-Conditioned Policies Offline with Self-Supervised Reward Shaping. CoRL 2022: 1401-1410 - [c27]Mahmoud Assran, Mathilde Caron, Ishan Misra, Piotr Bojanowski, Florian Bordes, Pascal Vincent, Armand Joulin, Mike Rabbat, Nicolas Ballas:
Masked Siamese Networks for Label-Efficient Learning. ECCV (31) 2022: 456-473 - [c26]Lina Mezghani, Sainbayar Sukhbaatar, Thibaut Lavril, Oleksandr Maksymets, Dhruv Batra, Piotr Bojanowski, Karteek Alahari:
Memory-Augmented Reinforcement Learning for Image-Goal Navigation. IROS 2022: 3316-3323 - 2021
- [c25]Mahmoud Assran, Mathilde Caron, Ishan Misra, Piotr Bojanowski, Armand Joulin, Nicolas Ballas, Michael G. Rabbat:
Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples. ICCV 2021: 8423-8432 - [c24]Mathilde Caron, Hugo Touvron, Ishan Misra, Hervé Jégou, Julien Mairal, Piotr Bojanowski, Armand Joulin:
Emerging Properties in Self-Supervised Vision Transformers. ICCV 2021: 9630-9640 - [c23]Alaaeldin Ali, Hugo Touvron, Mathilde Caron, Piotr Bojanowski, Matthijs Douze, Armand Joulin, Ivan Laptev, Natalia Neverova, Gabriel Synnaeve, Jakob Verbeek, Hervé Jégou:
XCiT: Cross-Covariance Image Transformers. NeurIPS 2021: 20014-20027 - 2020
- [c22]Mathilde Caron, Ishan Misra, Julien Mairal, Priya Goyal, Piotr Bojanowski, Armand Joulin:
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments. NeurIPS 2020 - 2019
- [c21]Sainbayar Sukhbaatar, Edouard Grave, Piotr Bojanowski, Armand Joulin:
Adaptive Attention Span in Transformers. ACL (1) 2019: 331-335 - [c20]Edouard Grave, Sainbayar Sukhbaatar, Piotr Bojanowski, Armand Joulin:
Training Hybrid Language Models by Marginalizing over Segmentations. ACL (1) 2019: 1477-1482 - [c19]Mathilde Caron, Piotr Bojanowski, Julien Mairal, Armand Joulin:
Unsupervised Pre-Training of Image Features on Non-Curated Data. ICCV 2019: 2959-2968 - [c18]Bora Edizel, Aleksandra Piktus, Piotr Bojanowski, Rui Ferreira, Edouard Grave, Fabrizio Silvestri:
Misspelling Oblivious Word Embeddings. NAACL-HLT (1) 2019: 3226-3234 - 2018
- [c17]Mathilde Caron, Piotr Bojanowski, Armand Joulin, Matthijs Douze:
Deep Clustering for Unsupervised Learning of Visual Features. ECCV (14) 2018: 139-156 - [c16]Armand Joulin, Piotr Bojanowski, Tomás Mikolov, Hervé Jégou, Edouard Grave:
Loss in Translation: Learning Bilingual Word Mapping with a Retrieval Criterion. EMNLP 2018: 2979-2984 - [c15]Piotr Bojanowski, Armand Joulin, David Lopez-Paz, Arthur Szlam:
Optimizing the Latent Space of Generative Networks. ICML 2018: 599-608 - [c14]Edouard Grave, Piotr Bojanowski, Prakhar Gupta, Armand Joulin, Tomás Mikolov:
Learning Word Vectors for 157 Languages. LREC 2018 - [c13]Tomás Mikolov, Edouard Grave, Piotr Bojanowski, Christian Puhrsch, Armand Joulin:
Advances in Pre-Training Distributed Word Representations. LREC 2018 - [c12]Kristina Gulordava, Piotr Bojanowski, Edouard Grave, Tal Linzen, Marco Baroni:
Colorless Green Recurrent Networks Dream Hierarchically. NAACL-HLT 2018: 1195-1205 - 2017
- [c11]Armand Joulin, Edouard Grave, Piotr Bojanowski, Maximilian Nickel, Tomás Mikolov:
Fast Linear Model for Knowledge Graph Embeddings. AKBC@NIPS 2017 - [c10]Armand Joulin, Edouard Grave, Piotr Bojanowski, Tomás Mikolov:
Bag of Tricks for Efficient Text Classification. EACL (2) 2017: 427-431 - [c9]Antoine Miech, Jean-Baptiste Alayrac, Piotr Bojanowski, Ivan Laptev, Josef Sivic:
Learning from Video and Text via Large-Scale Discriminative Clustering. ICCV 2017: 5267-5276 - [c8]Piotr Bojanowski, Armand Joulin:
Unsupervised Learning by Predicting Noise. ICML 2017: 517-526 - [c7]Moustapha Cissé, Piotr Bojanowski, Edouard Grave, Yann N. Dauphin, Nicolas Usunier:
Parseval Networks: Improving Robustness to Adversarial Examples. ICML 2017: 854-863 - 2016
- [c6]Guillaume Seguin, Piotr Bojanowski, Rémi Lajugie, Ivan Laptev:
Instance-Level Video Segmentation from Object Tracks. CVPR 2016: 3678-3687 - [c5]Jean-Baptiste Alayrac, Piotr Bojanowski, Nishant Agrawal, Josef Sivic, Ivan Laptev, Simon Lacoste-Julien:
Unsupervised Learning from Narrated Instruction Videos. CVPR 2016: 4575-4583 - [c4]Rémi Lajugie, Piotr Bojanowski, Philippe Cuvillier, Sylvain Arlot, Francis R. Bach:
A weakly-supervised discriminative model for audio-to-score alignment. ICASSP 2016: 2484-2488 - 2015
- [c3]Piotr Bojanowski, Rémi Lajugie, Edouard Grave, Francis R. Bach, Ivan Laptev, Jean Ponce, Cordelia Schmid:
Weakly-Supervised Alignment of Video with Text. ICCV 2015: 4462-4470 - 2014
- [c2]Piotr Bojanowski, Rémi Lajugie, Francis R. Bach, Ivan Laptev, Jean Ponce, Cordelia Schmid, Josef Sivic:
Weakly Supervised Action Labeling in Videos under Ordering Constraints. ECCV (5) 2014: 628-643 - 2013
- [c1]Piotr Bojanowski, Francis R. Bach, Ivan Laptev, Jean Ponce, Cordelia Schmid, Josef Sivic:
Finding Actors and Actions in Movies. ICCV 2013: 2280-2287
Informal and Other Publications
- 2024
- [i47]Théo Moutakanni, Piotr Bojanowski, Guillaume Chassagnon, Céline Hudelot, Armand Joulin, Yann LeCun, Matthew Muckley, Maxime Oquab, Marie-Pierre Revel, Maria Vakalopoulou:
Advancing human-centric AI for robust X-ray analysis through holistic self-supervised learning. CoRR abs/2405.01469 (2024) - [i46]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, Piotr Bojanowski:
Automatic Data Curation for Self-Supervised Learning: A Clustering-Based Approach. CoRR abs/2405.15613 (2024) - [i45]Théo Moutakanni, Maxime Oquab, Marc Szafraniec, Maria Vakalopoulou, Piotr Bojanowski:
You Don't Need Data-Augmentation in Self-Supervised Learning. CoRR abs/2406.09294 (2024) - 2023
- [i44]Lina Mezghani, Sainbayar Sukhbaatar, Piotr Bojanowski, Alessandro Lazaric, Karteek Alahari:
Learning Goal-Conditioned Policies Offline with Self-Supervised Reward Shaping. CoRR abs/2301.02099 (2023) - [i43]Mahmoud Assran, Quentin Duval, Ishan Misra, Piotr Bojanowski, Pascal Vincent, Michael G. Rabbat, Yann LeCun, Nicolas Ballas:
Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture. CoRR abs/2301.08243 (2023) - [i42]Maxime Oquab, Timothée Darcet, Théo Moutakanni, Huy V. Vo, Marc Szafraniec, Vasil Khalidov, Pierre Fernandez, Daniel Haziza, Francisco Massa, Alaaeldin El-Nouby, Mahmoud Assran, Nicolas Ballas, Wojciech Galuba, Russell Howes, Po-Yao Huang, Shang-Wen Li, Ishan Misra, Michael G. Rabbat, Vasu Sharma, Gabriel Synnaeve, Hu Xu, Hervé Jégou, Julien Mairal, Patrick Labatut, Armand Joulin, Piotr Bojanowski:
DINOv2: Learning Robust Visual Features without Supervision. CoRR abs/2304.07193 (2023) - [i41]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, Tracy Johns, Brian White, Tobias Tiecke, Camille Couprie:
Sub-meter resolution canopy height maps using self-supervised learning and a vision transformer trained on Aerial and GEDI Lidar. CoRR abs/2304.07213 (2023) - [i40]Lina Mezghani, Piotr Bojanowski, Karteek Alahari, Sainbayar Sukhbaatar:
Think Before You Act: Unified Policy for Interleaving Language Reasoning with Actions. CoRR abs/2304.11063 (2023) - [i39]Timothée Darcet, Maxime Oquab, Julien Mairal, Piotr Bojanowski:
Vision Transformers Need Registers. CoRR abs/2309.16588 (2023) - 2022
- [i38]Priya Goyal, Quentin Duval, Isaac Seessel, Mathilde Caron, Ishan Misra, Levent Sagun, Armand Joulin, Piotr Bojanowski:
Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision. CoRR abs/2202.08360 (2022) - [i37]Mahmoud Assran, Mathilde Caron, Ishan Misra, Piotr Bojanowski, Florian Bordes, Pascal Vincent, Armand Joulin, Michael G. Rabbat, Nicolas Ballas:
Masked Siamese Networks for Label-Efficient Learning. CoRR abs/2204.07141 (2022) - [i36]Lina Mezghani, Sainbayar Sukhbaatar, Piotr Bojanowski, Karteek Alahari:
Walk the Random Walk: Learning to Discover and Reach Goals Without Supervision. CoRR abs/2206.11733 (2022) - [i35]Mahmoud Assran, Randall Balestriero, Quentin Duval, Florian Bordes, Ishan Misra, Piotr Bojanowski, Pascal Vincent, Michael G. Rabbat, Nicolas Ballas:
The Hidden Uniform Cluster Prior in Self-Supervised Learning. CoRR abs/2210.07277 (2022) - [i34]Hugo Touvron, Matthieu Cord, Maxime Oquab, Piotr Bojanowski, Jakob Verbeek, Hervé Jégou:
Co-training 2L Submodels for Visual Recognition. CoRR abs/2212.04884 (2022) - 2021
- [i33]Lina Mezghani, Sainbayar Sukhbaatar, Thibaut Lavril, Oleksandr Maksymets, Dhruv Batra, Piotr Bojanowski, Karteek Alahari:
Memory-Augmented Reinforcement Learning for Image-Goal Navigation. CoRR abs/2101.05181 (2021) - [i32]Priya Goyal, Mathilde Caron, Benjamin Lefaudeux, Min Xu, Pengchao Wang, Vivek Pai, Mannat Singh, Vitaliy Liptchinsky, Ishan Misra, Armand Joulin, Piotr Bojanowski:
Self-supervised Pretraining of Visual Features in the Wild. CoRR abs/2103.01988 (2021) - [i31]Mahmoud Assran, Mathilde Caron, Ishan Misra, Piotr Bojanowski, Armand Joulin, Nicolas Ballas, Michael G. Rabbat:
Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples. CoRR abs/2104.13963 (2021) - [i30]Mathilde Caron, Hugo Touvron, Ishan Misra, Hervé Jégou, Julien Mairal, Piotr Bojanowski, Armand Joulin:
Emerging Properties in Self-Supervised Vision Transformers. CoRR abs/2104.14294 (2021) - [i29]Hugo Touvron, Piotr Bojanowski, Mathilde Caron, Matthieu Cord, Alaaeldin El-Nouby, Edouard Grave, Armand Joulin, Gabriel Synnaeve, Jakob Verbeek, Hervé Jégou:
ResMLP: Feedforward networks for image classification with data-efficient training. CoRR abs/2105.03404 (2021) - [i28]Alaaeldin El-Nouby, Hugo Touvron, Mathilde Caron, Piotr Bojanowski, Matthijs Douze, Armand Joulin, Ivan Laptev, Natalia Neverova, Gabriel Synnaeve, Jakob Verbeek, Hervé Jégou:
XCiT: Cross-Covariance Image Transformers. CoRR abs/2106.09681 (2021) - [i27]Gautier Izacard, Mathilde Caron, Lucas Hosseini, Sebastian Riedel, Piotr Bojanowski, Armand Joulin, Edouard Grave:
Towards Unsupervised Dense Information Retrieval with Contrastive Learning. CoRR abs/2112.09118 (2021) - [i26]Hugo Touvron, Matthieu Cord, Alaaeldin El-Nouby, Piotr Bojanowski, Armand Joulin, Gabriel Synnaeve, Hervé Jégou:
Augmenting Convolutional networks with attention-based aggregation. CoRR abs/2112.13692 (2021) - 2020
- [i25]Mathilde Caron, Ari Morcos, Piotr Bojanowski, Julien Mairal, Armand Joulin:
Pruning Convolutional Neural Networks with Self-Supervision. CoRR abs/2001.03554 (2020) - [i24]Lina Mezghani, Sainbayar Sukhbaatar, Arthur Szlam, Armand Joulin, Piotr Bojanowski:
Learning to Visually Navigate in Photorealistic Environments Without any Supervision. CoRR abs/2004.04954 (2020) - [i23]Mathilde Caron, Ishan Misra, Julien Mairal, Priya Goyal, Piotr Bojanowski, Armand Joulin:
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments. CoRR abs/2006.09882 (2020) - 2019
- [i22]Mathilde Caron, Piotr Bojanowski, Julien Mairal, Armand Joulin:
Leveraging Large-Scale Uncurated Data for Unsupervised Pre-training of Visual Features. CoRR abs/1905.01278 (2019) - [i21]Sainbayar Sukhbaatar, Edouard Grave, Piotr Bojanowski, Armand Joulin:
Adaptive Attention Span in Transformers. CoRR abs/1905.07799 (2019) - [i20]Bora Edizel, Aleksandra Piktus, Piotr Bojanowski, Rui Ferreira, Edouard Grave, Fabrizio Silvestri:
Misspelling Oblivious Word Embeddings. CoRR abs/1905.09755 (2019) - [i19]Piotr Bojanowski, Onur Celebi, Tomás Mikolov, Edouard Grave, Armand Joulin:
Updating Pre-trained Word Vectors and Text Classifiers using Monolingual Alignment. CoRR abs/1910.06241 (2019) - 2018
- [i18]Edouard Grave, Piotr Bojanowski, Prakhar Gupta, Armand Joulin, Tomás Mikolov:
Learning Word Vectors for 157 Languages. CoRR abs/1802.06893 (2018) - [i17]Kristina Gulordava, Piotr Bojanowski, Edouard Grave, Tal Linzen, Marco Baroni:
Colorless green recurrent networks dream hierarchically. CoRR abs/1803.11138 (2018) - [i16]Armand Joulin, Piotr Bojanowski, Tomás Mikolov, Edouard Grave:
Improving Supervised Bilingual Mapping of Word Embeddings. CoRR abs/1804.07745 (2018) - [i15]Mathilde Caron, Piotr Bojanowski, Armand Joulin, Matthijs Douze:
Deep Clustering for Unsupervised Learning of Visual Features. CoRR abs/1807.05520 (2018) - 2017
- [i14]Piotr Bojanowski, Armand Joulin:
Unsupervised Learning by Predicting Noise. CoRR abs/1704.05310 (2017) - [i13]Moustapha Cissé, Piotr Bojanowski, Edouard Grave, Yann N. Dauphin, Nicolas Usunier:
Parseval Networks: Improving Robustness to Adversarial Examples. CoRR abs/1704.08847 (2017) - [i12]Piotr Bojanowski, Armand Joulin, David Lopez-Paz, Arthur Szlam:
Optimizing the Latent Space of Generative Networks. CoRR abs/1707.05776 (2017) - [i11]Antoine Miech, Jean-Baptiste Alayrac, Piotr Bojanowski, Ivan Laptev, Josef Sivic:
Learning from Video and Text via Large-Scale Discriminative Clustering. CoRR abs/1707.09074 (2017) - [i10]Armand Joulin, Edouard Grave, Piotr Bojanowski, Maximilian Nickel, Tomás Mikolov:
Fast Linear Model for Knowledge Graph Embeddings. CoRR abs/1710.10881 (2017) - [i9]Tomás Mikolov, Edouard Grave, Piotr Bojanowski, Christian Puhrsch, Armand Joulin:
Advances in Pre-Training Distributed Word Representations. CoRR abs/1712.09405 (2017) - 2016
- [i8]Armand Joulin, Edouard Grave, Piotr Bojanowski, Tomás Mikolov:
Bag of Tricks for Efficient Text Classification. CoRR abs/1607.01759 (2016) - [i7]Piotr Bojanowski, Edouard Grave, Armand Joulin, Tomás Mikolov:
Enriching Word Vectors with Subword Information. CoRR abs/1607.04606 (2016) - [i6]Armand Joulin, Edouard Grave, Piotr Bojanowski, Matthijs Douze, Hervé Jégou, Tomás Mikolov:
FastText.zip: Compressing text classification models. CoRR abs/1612.03651 (2016) - 2015
- [i5]Piotr Bojanowski, Rémi Lajugie, Edouard Grave, Francis R. Bach, Ivan Laptev, Jean Ponce, Cordelia Schmid:
Weakly-Supervised Alignment of Video With Text. CoRR abs/1505.06027 (2015) - [i4]Rémi Lajugie, Piotr Bojanowski, Sylvain Arlot, Francis R. Bach:
Semidefinite and Spectral Relaxations for Multi-Label Classification. CoRR abs/1506.01829 (2015) - [i3]Jean-Baptiste Alayrac, Piotr Bojanowski, Nishant Agrawal, Josef Sivic, Ivan Laptev, Simon Lacoste-Julien:
Learning from narrated instruction videos. CoRR abs/1506.09215 (2015) - [i2]Piotr Bojanowski, Armand Joulin, Tomás Mikolov:
Alternative structures for character-level RNNs. CoRR abs/1511.06303 (2015) - 2014
- [i1]Piotr Bojanowski, Rémi Lajugie, Francis R. Bach, Ivan Laptev, Jean Ponce, Cordelia Schmid, Josef Sivic:
Weakly Supervised Action Labeling in Videos Under Ordering Constraints. CoRR abs/1407.1208 (2014)
Coauthor Index
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