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Bojanowski, Piotr

  1. Vision Transformers Need Registers
    2023/09/28 by Timothée Darcet, Darcet, Timothée, Maxime Oquab +5 · 12 voices · 200 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #Advanced Neural Network Applications #Advanced Image and Video Retrieval Techniques
  2. Bag of Tricks for Efficient Text Classification
    2016/07/06 by Armand Joulin, Joulin, Armand, Edouard Grave +5 · 3 voices · 77 citations
    #cs.CL
  3. Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture
    2023/01/19 by Mahmoud Assran, Assran, Mahmoud, Quentin Duval +14 · 8 voices · 177 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #Human Pose and Action Recognition #Advanced Neural Network Applications
  4. DINOv2: Learning Robust Visual Features without Supervision
    2023/04/14 by Maxime Oquab, Oquab, Maxime, Timothée Darcet +50 · 5 voices · 1645 citations
    Computer Science · #Multimodal Machine Learning Applications #Domain Adaptation and Few-Shot Learning #Advanced Neural Network Applications
  5. Emerging Properties in Self-Supervised Vision Transformers
    2021/04/29 by Caron, Mathilde, Touvron, Hugo, Misra, Ishan +4 · 794 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  6. Advances in Pre-Training Distributed Word Representations
    2017/12/26 by Tomas Mikolov, Mikolov, Tomas, Edouard Grave +7 · 2 voices · 13 citations
    #cs.CL
  7. Learning Word Vectors for 157 Languages
    2018/02/19 by Edouard Grave, Grave, Edouard, Piotr Bojanowski +7 · 2 voices · 14 citations
    #cs.CL #cs.LG
  8. Deep Clustering for Unsupervised Learning of Visual Features
    2018/07/15 by Mathilde Caron, Caron, Mathilde, Piotr Bojanowski +5 · 2 voices · 78 citations
    Computer Science · #Advanced Image and Video Retrieval Techniques #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Multimodal Machine Learning Applications #cs.CV
  9. FastText.zip: Compressing text classification models
    2016/12/12 by Armand Joulin, Joulin, Armand, Edouard Grave +9 · 2 voices · 20 citations
    #cs.CL #cs.LG
  10. Unsupervised Learning of Visual Features by Contrasting Cluster Assignments
    2020/06/17 by Mathilde Caron, Caron, Mathilde, Ishan Misra +9 · 212 citations
    Computer Science · #Image Enhancement Techniques #Domain Adaptation and Few-Shot Learning #Video Surveillance and Tracking Methods
  11. Unsupervised Dense Information Retrieval with Contrastive Learning
    2021/12/16 by Gautier Izacard, Izacard, Gautier, Mathilde Caron +11 · 156 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #Advanced Image and Video Retrieval Techniques #Multimodal Machine Learning Applications
  12. Enriching Word Vectors with Subword Information
    2016/07/15 by Piotr Bojanowski, Édouard Grave, Bojanowski, Piotr +5 · 103 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Text Readability and Simplification #Topic Modeling
  13. DINOv3
    2025/08/13 by Siméoni, Oriane, Vo, Huy V., Seitzer, Maximilian +23 · 241 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  14. V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
    2025/06/11 by Adrien Bardes, Assran, Mido, David P. Fan +54 · 123 citations
    Computer Science · Psychology · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Human Pose and Action Recognition #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Robotics (cs.RO) #Social Robot Interaction and HRI
  15. Parseval Networks: Improving Robustness to Adversarial Examples
    2017/04/28 by Moustapha Cissé, Piotr Bojanowski, Cisse, Moustapha +7 · 28 citations
    Computer Science · Physics and Astronomy · #Advanced Optical Sensing Technologies #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  16. Masked Siamese Networks for Label-Efficient Learning
    2022/04/14 by Mahmoud Assran, Assran, Mahmoud, Mathilde Caron +15 · 18 citations
    Computer Science · Engineering · #Domain Adaptation and Few-Shot Learning #Image Processing Techniques and Applications #Multimodal Machine Learning Applications
  17. ResMLP: Feedforward networks for image classification with data-efficient training
    2021/05/07 by Hugo Touvron, Touvron, Hugo, Piotr Bojanowski +19 · 14 citations
    Computer Science · Medicine · Neuroscience · #Brain Tumor Detection and Classification #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #Digital Imaging for Blood Diseases #FOS: Computer and information sciences
  18. Colorless green recurrent networks dream hierarchically
    2018/03/29 by Gulordava, Kristina, Bojanowski, Piotr, Grave, Edouard +2 · 8 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences
  19. Adaptive Attention Span in Transformers
    2019/05/19 by Sukhbaatar, Sainbayar, Grave, Edouard, Bojanowski, Piotr +1 · 8 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  20. XCiT: Cross-Covariance Image Transformers
    2021/06/17 by Alaaeldin El-Nouby, Hugo Touvron, El-Nouby, Alaaeldin +19 · 12 citations
    Computer Science · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
  21. Optimizing the Latent Space of Generative Networks
    2017/07/18 by Bojanowski, Piotr, Joulin, Armand, Lopez-Paz, David +1 · 7 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  22. DINOv2 Meets Text: A Unified Framework for Image- and Pixel-Level Vision-Language Alignment
    2024/12/20 by Cijo Jose, Jose, Cijo, Théo Moutakanni +25 · 25 citations
    Computer Science · #Multimodal Machine Learning Applications #Advanced Image and Video Retrieval Techniques #Image Retrieval and Classification Techniques
  23. Unsupervised Learning from Narrated Instruction Videos
    2015/06/30 by Alayrac, Jean-Baptiste, Bojanowski, Piotr, Agrawal, Nishant +3 · 5 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #I.2 #I.5.1 #I.5.4 #Machine Learning (cs.LG)
  24. Disentangling the Factors of Convergence between Brains and Computer Vision Models
    2025/08/25 by Joséphine Raugel, Raugel, Joséphine, Marc Szafraniec +13 · 3 voices · 7 citations
    #cs.AI #q-bio.NC
  25. Automatic Data Curation for Self-Supervised Learning: A Clustering-Based Approach
    2024/05/24 by Huy V. Vo, Vasil Khalidov, Vo, Huy V. +23 · 1 voice · 10 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #cs.AI #cs.CV #cs.LG
  26. Unsupervised Learning by Predicting Noise
    2017/04/18 by Piotr Bojanowski, Armand Joulin, Bojanowski, Piotr +1 · 7 citations
    Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #Machine Learning and Data Classification
  27. Self-supervised Pretraining of Visual Features in the Wild
    2021/03/02 by Priya Goyal, Mathilde Caron, Goyal, Priya +19 · 8 citations
    Computer Science · #Advanced Image and Video Retrieval Techniques #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Image Retrieval and Classification Techniques #Video Surveillance and Tracking Methods
  28. Back to the Features: DINO as a Foundation for Video World Models
    2025/07/25 by Baldassarre, Federico, Szafraniec, Marc, Terver, Basile +6 · 25 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  29. The Hidden Uniform Cluster Prior in Self-Supervised Learning
    2022/10/13 by Mahmoud Assran, Randall Balestriero, Assran, Mahmoud +15 · 4 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · Medicine · #Artificial Intelligence (cs.AI) #COVID-19 diagnosis using AI #Cancer-related molecular mechanisms research #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG)
  30. Cluster and Predict Latent Patches for Improved Masked Image Modeling
    2025/02/12 by Timothée Darcet, Darcet, Timothée, Federico Baldassarre +7 · 2 voices · 5 citations
    Engineering · #cs.CV #cs.AI
  31. You Don't Need Domain-Specific Data Augmentations When Scaling Self-Supervised Learning
    2024/06/13 by Moutakanni, Théo, Oquab, Maxime, Szafraniec, Marc +2 · 4 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  32. Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision
    2022/02/16 by Goyal, Priya, Duval, Quentin, Seessel, Isaac +5 · 2 citations
    #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Computers and Society (cs.CY) #FOS: Computer and information sciences
  33. Advancing human-centric AI for robust X-ray analysis through holistic self-supervised learning
    2024/05/02 by Moutakanni, Théo, Bojanowski, Piotr, Chassagnon, Guillaume +7 · 3 citations
    #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  34. Weakly-Supervised Alignment of Video With Text
    2015/05/22 by Bojanowski, Piotr, Lajugie, Rémi, Grave, Edouard +4 · 1 citation
    #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  35. Loss in Translation: Learning Bilingual Word Mapping with a Retrieval Criterion
    2018/04/20 by Joulin, Armand, Bojanowski, Piotr, Mikolov, Tomas +2 · 1 citation
    #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  36. Weakly Supervised Action Labeling in Videos Under Ordering Constraints
    2014/07/04 by Piotr Bojanowski, Bojanowski, Piotr, Rémi Lajugie +11 · 1 citation
    Computer Science · Engineering · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Human Motion and Animation #Human Pose and Action Recognition #Machine Learning (cs.LG) #Video Analysis and Summarization
  37. Pruning Convolutional Neural Networks with Self-Supervision
    2020/01/10 by Mathilde Caron, Caron, Mathilde, Ari S. Morcos +7 · 1 citation
    Computer Science · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Human Pose and Action Recognition #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE)
  38. Learning to Visually Navigate in Photorealistic Environments Without any Supervision
    2020/04/10 by Mezghani, Lina, Sukhbaatar, Sainbayar, Szlam, Arthur +2 · 1 citation
    #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Robotics (cs.RO)
  39. Augmenting Convolutional networks with attention-based aggregation
    2021/12/27 by Touvron, Hugo, Cord, Matthieu, El-Nouby, Alaaeldin +4 · 1 citation
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  40. Co-training 2L Submodels for Visual Recognition
    2022/12/09 by Hugo Touvron, Touvron, Hugo, Matthieu Cord +9 · 1 citation
    Computer Science · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Human Pose and Action Recognition