World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
51
Citations
10750
World Ranking
5322
National Ranking
2443

Overview

Daniel Keysers is affiliated with Google in the United States and has contributed extensively to the field of computer science. Their publications primarily focus on artificial intelligence and computer vision, with additional work in media technology, radiology, nuclear medicine, imaging, and signal processing.

Their recent research output includes work published in prestigious venues such as arXiv (Cornell University), the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), and the Leibniz-Zentrum für Informatik (Schloss Dagstuhl).

Notable publications by Daniel Keysers include:

  • MLP-Mixer: An all-MLP Architecture for Vision, 2021, arXiv (Cornell University)
  • LiT: Zero-Shot Transfer with Locked-image text Tuning, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Continental-Scale Building Detection from High Resolution Satellite Imagery, 2021, Leibniz-Zentrum für Informatik (Schloss Dagstuhl)
  • Scaling Vision Transformers to 22 Billion Parameters, 2023, arXiv (Cornell University)
  • Predicting Neural Network Accuracy from Weights, 2020, arXiv (Cornell University)

The scientist's research has addressed several main topics, including:

  • Domain Adaptation and Few-Shot Learning
  • Advanced Neural Network Applications
  • Multimodal Machine Learning Applications
  • Natural Language Processing Techniques
  • Adversarial Robustness in Machine Learning
  • Machine Learning and Data Classification
  • COVID-19 diagnosis using AI

Daniel Keysers has frequently collaborated with several coauthors, showing ongoing research partnerships with:

  • Xiaohua Zhai
  • Basil Mustafa
  • Lucas Beyer
  • Ibrahim Alabdulmohsin
  • Neil Houlsby

Their publication record is predominantly concentrated in the following venues:

  • arXiv (Cornell University)
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • International Journal on Document Analysis and Recognition (IJDAR)
  • Leibniz-Zentrum für Informatik (Schloss Dagstuhl)

In total, Daniel Keysers has contributed to 41 publications in the broad field of computer science, with significant involvement in artificial intelligence and computer vision and pattern recognition subfields.

Best Publications

  • MLP-Mixer: An all-MLP Architecture for Vision

    Ilya Tolstikhin;Neil Houlsby;Alexander Kolesnikov;Lucas Beyer

  • Features for image retrieval: an experimental comparison

    Thomas Deselaers;Daniel Keysers;Hermann Ney

  • The 2005 PASCAL visual object classes challenge

    Mark Everingham;Andrew Zisserman;Christopher K. I. Williams;Luc Van Gool

  • Efficient implementation of local adaptive thresholding techniques using integral images

    Faisal Shafait;Daniel Keysers;Thomas M. Breuel

  • Content-based image retrieval in medical applications

    T. M. Lehmann;M. O. Güld;C. Thies;B. Fischer

  • Deformation Models for Image Recognition

    D. Keysers;T. Deselaers;C. Gollan;H. Ney

  • Automatic categorization of medical images for content-based retrieval and data mining.

    Thomas M. Lehmann;Mark O. Güld;Thomas Deselaers;Daniel Keysers

  • LiT: Zero-Shot Transfer with Locked-image Text Tuning

    Xiaohua Zhai;Xiao Wang;Basil Mustafa;Andreas Steiner

  • Performance Evaluation and Benchmarking of Six-Page Segmentation Algorithms

    F. Shafait;D. Keysers;T.M. Breuel

  • Quality of DICOM header information for image categorization

    Mark Oliver Gueld;Michael Kohnen;Daniel Keysers;Henning Schubert

  • The IRMA code for unique classification of medical images

    Thomas Martin Lehmann;Henning Schubert;Daniel Keysers;Michael Kohnen

  • Continental-Scale Building Detection from High Resolution Satellite Imagery

    Wojciech Sirko;Sergii Kashubin;Marvin Ritter;Abigail Annkah

  • INTEGRATED HANDWRITING RECOGNITION AND INTERPRETATION USING FINITE-STATE MODELS

    Alejandro Héctor Toselli;Alfons Juan;Jorge González;Ismael Salvador

  • Features for Image Retrieval: A Quantitative Comparison

    Thomas Deselaers;Daniel Keysers;Hermann Ney

  • Multi-Language Online Handwriting Recognition

    Daniel Keysers;Thomas Deselaers;Henry A. Rowley;Li-Lun Wang

  • Measuring Compositional Generalization: A Comprehensive Method on Realistic Data

    Daniel Keysers;Nathanael Schärli;Nathan Scales;Hylke Buisman

  • Statistical framework for model-based image retrieval in medical applications

    Daniel Keysers;Joerg Dahmen;Hermann Ney;Berthold B. Wein

  • Tangent distance kernels for support vector machines

    B. Haasdonk;D. Keysers

  • Discriminative training for object recognition using image patches

    T. Deselaers;D. Keysers;H. Ney

  • Fast multi-language LSTM-based online handwriting recognition

    Victor Carbune;Pedro Gonnet;Thomas Deselaers;Henry A. Rowley

Frequent Co-Authors

Thomas Deselaers
Thomas Deselaers Apple (United States)
Hermann Ney
Hermann Ney RWTH Aachen University
Thomas M. Breuel
Thomas M. Breuel Nvidia (United States)
Faisal Shafait
Faisal Shafait National University of Sciences and Technology
Henry Allan Rowley
Henry Allan Rowley Google (United States)
Enrique Vidal
Enrique Vidal Universitat Politècnica de València
Sylvain Gelly
Sylvain Gelly Google (United States)
Olivier Bousquet
Olivier Bousquet Google (United States)
Franz Josef Och
Franz Josef Och Google (United States)
Christoph H. Lampert
Christoph H. Lampert Institute of Science and Technology Austria

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