World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
30
Citations
15058
World Ranking
13809
National Ranking
5482

Overview

Jasper Uijlings is a researcher affiliated with Google in the United States. Their work primarily intersects the fields of computer science, with significant contributions to computer vision and pattern recognition, and artificial intelligence. Their research also spans the areas of radiology, nuclear medicine, and imaging.

The scientist's principal research topics include:

  • Domain Adaptation and Few-Shot Learning
  • Multimodal Machine Learning Applications
  • Advanced Neural Network Applications
  • Advanced Image and Video Retrieval Techniques
  • COVID-19 diagnosis using AI
  • Adversarial Robustness in Machine Learning
  • Visual Attention and Saliency Detection

Jasper Uijlings has contributed to a variety of notable publications. Among the recent papers are:

  • "The Open Images Dataset V4," 2020, International Journal of Computer Vision
  • "Transferability Estimation using Bhattacharyya Class Separability," 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Connecting Vision and Language with Localized Narratives," 2020, Lecture Notes in Computer Science
  • "Transferability Metrics for Selecting Source Model Ensembles," 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Factors of Influence for Transfer Learning Across Diverse Appearance Domains and Task Types," 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence

The venues where Jasper Uijlings frequently publishes include:

  • arXiv (Cornell University)
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Lecture Notes in Computer Science
  • International Journal of Computer Vision
  • IEEE Transactions on Pattern Analysis and Machine Intelligence

Collaboration forms an important aspect of their research process. Frequent co-authors working with Jasper Uijlings are:

  • Vittorio Ferrari
  • Thomas Mensink
  • Michal Pándy
  • Michael Gygli
  • Andrea Agostinelli

Best Publications

  • Selective Search for Object Recognition

    J. R. Uijlings;K. E. Sande;T. Gevers;A. W. Smeulders

  • The Open Images Dataset V4: Unified Image Classification, Object Detection, and Visual Relationship Detection at Scale

    Alina Kuznetsova;Hassan Rom;Neil Alldrin;Jasper R. R. Uijlings

  • COCO-Stuff: Thing and Stuff Classes in Context

    Holger Caesar;Jasper Uijlings;Vittorio Ferrari

  • Segmentation as selective search for object recognition

    Koen E. A. van de Sande;Jasper R. R. Uijlings;Theo Gevers;Arnold W. M. Smeulders

  • The Open Images Dataset V4: Unified image classification, object detection, and visual relationship detection at scale

    Alina Kuznetsova;Hassan Rom;Neil Alldrin;Jasper Uijlings

  • The MediaMill TRECVID 2009 Semantic Video Search Engine

    C.G.M. Snoek;K.E.A. van de Sande;O. de Rooij;B. Huurnink

  • The MediaMill TRECVID 2008 Semantic Video Search Engine

    C.G.M. Snoek;K.E.A. van de Sande;O. de Rooij;B. Huurnink

  • The MediaMill TRECVID 2007 Semantic Video Search Engine

    C. Snoek;I. Everts;van J.C. Gemert;Jan-Mark Geusebroek

  • Extreme Clicking for Efficient Object Annotation

    Dim P. Papadopoulos;Jasper R. R. Uijlings;Frank Keller;Vittorio Ferrari

  • Web Image Annotation Via Subspace-Sparsity Collaborated Feature Selection

    Zhigang Ma;Feiping Nie;Yi Yang;J. R. R. Uijlings

  • Real-Time Visual Concept Classification

    Jasper R R Uijlings;Arnold W M Smeulders;Remko J H Scha

  • Discriminating Joint Feature Analysis for Multimedia Data Understanding

    Zhigang Ma;Feiping Nie;Yi Yang;J. R. R. Uijlings

  • We Don’t Need No Bounding-Boxes: Training Object Class Detectors Using Only Human Verification

    Dim P. Papadopoulos;Jasper R. R. Uijlings;Frank Keller;Vittorio Ferrari

  • Connecting Vision and Language with Localized Narratives

    Jordi Pont-Tuset;Jasper R. R. Uijlings;Soravit Changpinyo;Radu Soricut

  • Real-time bag of words, approximately

    J. R. R. Uijlings;A. W. M. Smeulders;R. J. H. Scha

  • In the eye of the beholder: employing statistical analysis and eye tracking for analyzing abstract paintings

    Victoria Yanulevskaya;Jasper Uijlings;Elia Bruni;Andreza Sartori

  • Training Object Class Detectors with Click Supervision

    Dim P. Papadopoulos;Jasper R. R. Uijlings;Frank Keller;Vittorio Ferrari

  • Video classification with Densely extracted HOG/HOF/MBH features: an evaluation of the accuracy/computational efficiency trade-off

    Jasper R. R. Uijlings;I. C. Duta;Enver Sangineto;Nicu Sebe

  • Region-Based Semantic Segmentation with End-to-End Training

    Holger Caesar;Jasper R. R. Uijlings;Vittorio Ferrari

  • The Devil is in the Decoder

    Zbigniew Wojna;Vittorio Ferrari;Sergio Guadarrama;Nathan Silberman

  • What is the spatial extent of an object

    J R R Uijlings;A W M Smeulders;R J H Scha

  • Fluid Annotation: A Human-Machine Collaboration Interface for Full Image Annotation

    Mykhaylo Andriluka;Jasper R. R. Uijlings;Vittorio Ferrari

  • Exploiting the entire feature space with sparsity for automatic image annotation

    Zhigang Ma;Yi Yang;Feiping Nie;Jasper Uijlings

  • Realtime Video Classification using Dense HOF/HOG

    J. R. R. Uijlings;I. C. Duta;N. Rostamzadeh;N. Sebe

  • The Devil is in the Decoder

    Zbigniew Wojna;Vittorio Ferrari;Sergio Guadarrama;Nathan Silberman

Frequent Co-Authors

Vittorio Ferrari
Vittorio Ferrari Google (United States)
Nicu Sebe
Nicu Sebe University of Trento
Arnold W. M. Smeulders
Arnold W. M. Smeulders University of Amsterdam
Frank Keller
Frank Keller University of Edinburgh
Jan-Mark Geusebroek
Jan-Mark Geusebroek University of Amsterdam
Marcel Worring
Marcel Worring University of Amsterdam
Theo Gevers
Theo Gevers University of Amsterdam
Mykhaylo Andriluka
Mykhaylo Andriluka Google (United States)
Cees G. M. Snoek
Cees G. M. Snoek University of Amsterdam

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