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Computer Science

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Citations
38611
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  • 2025 - Research.com Rising Stars Award

Overview

Piotr Bojanowski is a researcher affiliated with Facebook (United States). Their work is primarily concentrated in the field of Computer Science, with a strong focus on Computer Vision and Pattern Recognition as well as Artificial Intelligence. Their research spans various subfields including Radiology, Nuclear Medicine and Imaging, Environmental Engineering, and Nature and Landscape Conservation.

The scientist's recent publications demonstrate contributions across multiple high-impact venues. Notable papers include:

  • Emerging Properties in Self-Supervised Vision Transformers, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Unsupervised Learning of Visual Features by Contrasting Cluster Assignments, 2020, arXiv (Cornell University)
  • DINOv2: Learning Robust Visual Features without Supervision, 2023, arXiv (Cornell University)
  • ResMLP: Feedforward Networks for Image Classification With Data-Efficient Training, 2022, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • XCiT: Cross-Covariance Image Transformers, 2021, arXiv (Cornell University)

Frequent co-authors in the scientist's work include:

  • Armand Joulin
  • Mathilde Caron
  • Ishan Misra
  • Hugo Touvron
  • Hervé Jeǵou

Publication venues where Piotr Bojanowski frequently contributes include:

  • arXiv (Cornell University)
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Remote Sensing of Environment
  • 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

The scientist's main research topics cover a range of areas such as:

  • Domain Adaptation and Few-Shot Learning
  • Multimodal Machine Learning Applications
  • Advanced Image and Video Retrieval Techniques
  • Advanced Neural Network Applications
  • Human Pose and Action Recognition
  • COVID-19 diagnosis using AI
  • Digital Imaging for Blood Diseases

Best Publications

  • Enriching Word Vectors with Subword Information

    Piotr Bojanowski;Edouard Grave;Armand Joulin;Tomas Mikolov

  • Bag of Tricks for Efficient Text Classification

    Armand Joulin;Edouard Grave;Piotr Bojanowski;Tomas Mikolov

  • Emerging Properties in Self-Supervised Vision Transformers

    Mathilde Caron;Hugo Touvron;Hugo Touvron;Ishan Misra;Hervé Jégou

  • Deep Clustering for Unsupervised Learning of Visual Features

    Mathilde Caron;Piotr Bojanowski;Armand Joulin;Matthijs Douze

  • Unsupervised Learning of Visual Features by Contrasting Cluster Assignments

    Mathilde Caron;Ishan Misra;Julien Mairal;Priya Goyal

  • DINOv2: Learning Robust Visual Features without Supervision

    Unknown

  • Advances in Pre-Training Distributed Word Representations

    Tomas Mikolov;Edouard Grave;Piotr Bojanowski;Christian Puhrsch

  • Learning Word Vectors for 157 Languages

    Edouard Grave;Piotr Bojanowski;Prakhar Gupta;Armand Joulin

  • FastText.zip: Compressing text classification models

    Armand Joulin;Edouard Grave;Piotr Bojanowski;Matthijs Douze

  • ResMLP: Feedforward networks for image classification with data-efficient training

    Hugo Touvron;Piotr Bojanowski;Mathilde Caron;Matthieu Cord

  • Parseval networks: improving robustness to adversarial examples

    Moustapha Cisse;Piotr Bojanowski;Edouard Grave;Yann Dauphin

  • Colorless green recurrent networks dream hierarchically

    Kristina Gulordava;Piotr Bojanowski;Edouard Grave;Tal Linzen

  • Loss in Translation: Learning Bilingual Word Mapping with a Retrieval Criterion

    Armand Joulin;Piotr Bojanowski;Tomas Mikolov;Hervé Jégou

  • Optimizing the Latent Space of Generative Networks

    Piotr Bojanowski;Armand Joulin;David Lopez-Paz;Arthur Szlam

  • Unsupervised Learning from Narrated Instruction Videos

    Jean-Baptiste Alayrac;Piotr Bojanowski;Nishant Agrawal;Nishant Agrawal;Josef Sivic

  • Adaptive Attention Span in Transformers

    Sainbayar Sukhbaatar;Edouard Grave;Piotr Bojanowski;Armand Joulin

  • Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture

    Unknown

  • Weakly Supervised Action Labeling in Videos under Ordering Constraints

    Piotr Bojanowski;Rémi Lajugie;Francis R. Bach;Ivan Laptev

  • Unsupervised Pre-Training of Image Features on Non-Curated Data

    Mathilde Caron;Piotr Bojanowski;Julien Mairal;Armand Joulin

  • Unsupervised learning by predicting Noise

    Piotr Bojanowski;Armand Joulin

  • XCiT: Cross-Covariance Image Transformers.

    Alaaeldin El-Nouby;Hugo Touvron;Mathilde Caron;Piotr Bojanowski

  • Finding Actors and Actions in Movies

    P. Bojanowski;F. Bach;I. Laptev;J. Ponce

Frequent Co-Authors

Armand Joulin
Armand Joulin Google (United States)
Edouard Grave
Edouard Grave Facebook (United States)
Tomas Mikolov
Tomas Mikolov Czech Technical University in Prague
Ivan Laptev
Ivan Laptev Mohamed bin Zayed University of Artificial Intelligence
Josef Sivic
Josef Sivic Czech Technical University in Prague
Julien Mairal
Julien Mairal French Institute for Research in Computer Science and Automation - INRIA
Hervé Jégou
Hervé Jégou Facebook (United States)
Francis Bach
Francis Bach École Normale Supérieure
Ishan Misra
Ishan Misra Facebook (United States)
Simon Lacoste-Julien
Simon Lacoste-Julien University of Montreal

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